Jie Tang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
437
Venues
54
Active years
2016–2026
Best venue rank
A*
Where they publish
- A*ACL47 papers
- A*KDD40 papers
- A*AAAI15 papers
- BVTC15 papers
- A*WWW15 papers
- BGLOBECOM14 papers
- A*EMNLP13 papers
- A*ICLR13 papers
- A*CVPR11 papers
- A*IJCAI11 papers
- ACIKM8 papers
- NationalHCI8 papers
- MulticonferenceICASSP8 papers
- CNPC7 papers
- A*ICML5 papers
- A*ECCV5 papers
- A*ICCV4 papers
- ARTAS4 papers
- A*SIGIR3 papers
- AWSDM3 papers
- A*ICDE3 papers
- BWCNC3 papers
- CISCAS2 papers
- A*DAC2 papers
- A*ICDM2 papers
- CICIS2 papers
- BCOMPSAC2 papers
- A*MICRO2 papers
- BWISE2 papers
- BIJCNLP2 papers
- AIROS2 papers
- BEDM2 papers
- BPAKDD2 papers
- CICA3PP2 papers
- CISPA2 papers
- BRO-MAN1 paper
- BNSS1 paper
- CMobiquitous1 paper
- BICIP1 paper
- BPPoPP1 paper
- BASPDAC1 paper
- A*HPCA1 paper
- A*SIGMOD1 paper
- BDASFAA1 paper
- AECAI1 paper
- CHPCC1 paper
- BMMM1 paper
- BPIMRC1 paper
- CACML1 paper
- CICANN1 paper
- A*INFOCOM1 paper
- BICTAI1 paper
- CUIC1 paper
- BIJCNN1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning. | Jinhao Chen, Zhen Yang, Jianxin Shi, Tianyu Wo, Jie Tang |
| 2026 | AAAI | VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation. | Jiazheng Xu, Yu Huang, Jiale Cheng, Yuanming Yang, Jiajun Xu, Yuan Wang, Wenbo Duan, Shen Yang, Qunlin Jin, Shurun Li, Jiayan Teng, Zhuoyi Yang, Wendi Zheng, Xiao Liu, Dan Zhang, Ming Ding, Xiaohan Zhang, Shiyu Huang, Xiaotao Gu, Minlie Huang, Jie Tang, Yuxiao Dong |
| 2026 | AAAI | Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement. | Jiashu Yao, Heyan Huang, Shuang Zeng, Chuwei Luo, WangJie You, Jie Tang, Qingsong Liu, Yuhang Guo, Yangyang Kang |
| 2026 | AAAI | UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge. | Yang Zhang, Cunxiang Wang, Lindong Wu, Wenbo Yu, Yidong Wang, Guangsheng Bao, Jie Tang |
| 2026 | ACL | SCAIR: Schema-Conditioned Agentic Iterative Reasoning for Enterprise Knowledge Graphs. | Prateek Chaturvedi, Yuqicheng Zhu, Hongkuan Zhou, Dongzhuoran Zhou, Yunjie He, Steffen Staab, Fei Du, Jie Tang, Evgeny Kharlamov |
| 2026 | ACL | Glyph: Scaling Context Windows via Visual-Text Compression. | Jiale Cheng, Yusen Liu, Xinyu Zhang, Yulin Fei, Wenyi Hong, Ruiliang Lyu, Weihan Wang, Zhe Su, Xiaotao Gu, Xiao Liu, Yushi Bai, Jie Tang, Hongning Wang, Minlie Huang |
| 2026 | ACL | RPC-Bench: A Fine-grained Benchmark for Research Paper Comprehension. | Yelin Chen, Fanjin Zhang, Suping Sun, Yunhe Pang, Yuanchun Wang, Jian Song, Xiaoyan Li, Lei Hou, Shu Zhao, Jie Tang, Juanzi Li |
| 2026 | ACL | HoWToBench: Holistic Evaluation for LLM's Capability in Human-level Writing using Tree of Writing. | Andrew Zhuoer Feng, Cunxiang Wang, Yu Luo, Lin Fan, Irene Zhou, Zikang Wang, Xiaotao Gu, Jie Tang, Hongning Wang, Minlie Huang |
| 2026 | ACL | KARL: Reinforcement Learning for LLM Agents on Multi-Turn Knowledge-Intensive Agentic Tasks. | Xueqiao Sun, Xiao Liu, Bowen Lv, Hanchen Zhang, Bohao Jing, Zehan Qi, Yifan Xu, Yuxiao Dong, Jie Tang |
| 2026 | ACL | Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation. | Yanzhi Tian, Cunxiang Wang, Zeming Liu, Heyan Huang, Wenbo Yu, Dawei Song, Jie Tang, Yuhang Guo |
| 2026 | ACL | MTP-RL: Acceleration of Reinforcement Learning Rollouts with Policy-Aligned Multi-Token Prediction. | Ke Wang, Aohan Zeng, Zhengxiao Du, Yuxuan Hu, Bohan Zhang, Xinyi Wang, Jie Tang, Jing Zhang |
| 2026 | ACL | DataSciBench: An LLM Agent Benchmark for Data Science. | Dan Zhang, Sining Zhoubian, Min Cai, Fengzu Li, Lekang Yang, Wei Wang, Tianjiao Dong, Ziniu Hu, Jie Tang, Yisong Yue |
| 2026 | ACL | PlotGen-Bench: Evaluating VLMs on Generating Visualization Code from Diverse Plots across Multiple Libraries. | Yi Zhao, Zhen Yang, Shuaiqi Duan, Wenmeng Yu, Zhe Su, Jibing Gong, Jie Tang |
| 2026 | ACL | Data Efficient RLVR via Off-Policy Influence Guidance. | Erle Zhu, Dazhi Jiang, Yuan Wang, Xujun Li, Jiale Cheng, Yuxian Gu, Yilin Niu, Aohan Zeng, Jie Tang, Minlie Huang, Hongning Wang |
| 2026 | ISCAS | RASR: Retrieval-Augmented Super Resolution for Practical Reference-based Image Restoration. | Jiaqi Yan, Shuning Xu, Xiangyu Chen, Dell Zhang, Jiantao Zhou, Jie Tang, Gangshan Wu, Jie Liu |
| 2026 | KDD | DiKGRec: Generative Recommender Model with Diffusion and Knowledge Graph-Based Reasoning. | Zhuoxun Zheng, Baifan Zhou, Ahmet Soylu, Jie Tang, Evgeny Kharlamov |
| 2025 | AAAI | Small Language Model Makes an Effective Long Text Extractor. | Yelin Chen, Fanjin Zhang, Jie Tang |
| 2025 | ACL | LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks. | Yushi Bai, Shangqing Tu, Jiajie Zhang, Hao Peng, Xiaozhi Wang, Xin Lv, Shulin Cao, Jiazheng Xu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li |
| 2025 | ACL | LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models. | Jiayi Gui, Yiming Liu, Jiale Cheng, Xiaotao Gu, Xiao Liu, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang |
| 2025 | ACL | TreeRL: LLM Reinforcement Learning with On-Policy Tree Search. | Zhenyu Hou, Ziniu Hu, Yujiang Li, Rui Lu, Jie Tang, Yuxiao Dong |
| 2025 | ACL | AndroidGen: Building an Android Language Agent under Data Scarcity. | Hanyu Lai, Junjie Gao, Xiao Liu, Yifan Xu, Shudan Zhang, Yuxiao Dong, Jie Tang |
| 2025 | ACL | A Survey of Post-Training Scaling in Large Language Models. | Hanyu Lai, Xiao Liu, Junjie Gao, Jiale Cheng, Zehan Qi, Yifan Xu, Shuntian Yao, Dan Zhang, Jinhua Du, Zhenyu Hou, Xin Lv, Minlie Huang, Yuxiao Dong, Jie Tang |
| 2025 | ACL | LongSafety: Evaluating Long-Context Safety of Large Language Models. | Yida Lu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Cunxiang Wang, Xiaotao Gu, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang |
| 2025 | ACL | Dynamic Scaling of Unit Tests for Code Reward Modeling. | Zeyao Ma, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang |
| 2025 | ACL | In-the-wild Audio Spatialization with Flexible Text-guided Localization. | Tianrui Pan, Jie Liu, Zewen Huang, Jie Tang, Gangshan Wu |
| 2025 | ACL | SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling. | Haoran Wang, Zhenyu Hou, Yao Wei, Jie Tang, Yuxiao Dong |
| 2025 | ACL | HPSS: Heuristic Prompting Strategy Search for LLM Evaluators. | Bosi Wen, Pei Ke, Yufei Sun, Cunxiang Wang, Xiaotao Gu, Jinfeng Zhou, Jie Tang, Hongning Wang, Minlie Huang |
| 2025 | ACL | AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents. | Yifan Xu, Xiao Liu, Xueqiao Sun, Siyi Cheng, Hao Yu, Hanyu Lai, Shudan Zhang, Dan Zhang, Jie Tang, Yuxiao Dong |
| 2025 | ACL | TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios. | Xiaokang Zhang, Sijia Luo, Bohan Zhang, Zeyao Ma, Jing Zhang, Yang Li, Guanlin Li, Zijun Yao, Kangli Xu, Jinchang Zhou, Daniel Zhang-Li, Jifan Yu, Shu Zhao, Juanzi Li, Jie Tang |
| 2025 | ACL | CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis. | Bohan Zhang, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang |
| 2025 | CIKM | Learning to Comparison-Shop. | Jie Tang, Daochen Zha, Xin Liu, Huiji Gao, Liwei He, Stephanie Moyerman, Sanjeev Katariya |
| 2025 | CVPR | NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results. | Zheng Chen, Kai Liu, Jue Gong, Jingkai Wang, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang, Xiangyu Kong, Xiaoxuan Yu, Hyunhee Park, Suejin Han, Hakjae Jeon, Dafeng Zhang, Hyung-Ju Chun, Donghun Ryou, Inju Ha, Bohyung Han, Lu Zhao, Yuyi Zhang, Pengyu Yan, Jiawei Hu, Pengwei Liu, Fengjun Guo, Hongyuan Yu, Pufan Xu, Zhijuan Huang, Shuyuan Cui, Peng Guo, Jiahui Liu, Dongkai Zhang, Heng Zhang, Huiyuan Fu, Huadong Ma, Yanhui Guo, Sisi Tian, Xin Li, Jinwen Liang, Jie Liu, Jie Tang, Gangshan Wu, Zeyu Xiao, Zhuoyuan Li, Yinxiang Zhang, Wenxuan Cai, Vijayalaxmi Ashok Aralikatti, Nikhil Akalwadi, G. Gyaneshwar Rao, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Marcos V. Conde, Alejandro Merino, Bruno Longarela, Javier Abad, Weijun Yuan, Zhan Li, Zhanglu Chen, Boyang Yao, Aagam Jain, Milan Kumar Singh, Ankit Kumar, Shubh Kawa, Divyavardhan Singh, Anjali Sarvaiya, Kishor P. Upla, Raghavendra Ramachandra, Chia-Ming Lee, Yu-Fan Lin, Chih-Chung Hsu, Risheek V. Hiremath, Palani Yashaswini, Yuxuan Jiang, Qiang Zhu, Siyue Teng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull, Jingwei Liao, Yuqing Yang, Wenda Shao, Junyi Zhao, Qisheng Xu, Kele Xu, Sunder Ali Khowaja, Ik Hyun Lee, Snehal Singh Tomar, Rajarshi Ray, Klaus Mueller, Sachin Chaudhary, Surya Vashisth, Akshay Dudhane, Praful Hambarde, Satya Naryan Tazi, Prashant W. Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Bilel Benjdira, Anas M. Ali, Wadii Boulila, Zahra Moammeri, Ahmad Mahmoudi-Aznaveh, Ali Karbasi, Hossein Motamednia, Liangyan Li, Guanhua Zhao, Kevin Le, Yimo Ning, Haoxuan Huang, Jun Chen |
| 2025 | CVPR | MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models. | Wenyi Hong, Yean Cheng, Zhuoyi Yang, Weihan Wang, Lefan Wang, Xiaotao Gu, Shiyu Huang, Yuxiao Dong, Jie Tang |
| 2025 | CVPR | CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution. | Xin Liu, Jie Liu, Jie Tang, Gangshan Wu |
| 2025 | CVPR | AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning. | Yuheng Xu, Shijie Yang, Xin Liu, Jie Liu, Jie Tang, Gangshan Wu |
| 2025 | EMNLP | Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language Models. | Qihang Ma, Shengyu Li, Jie Tang, Dingkang Yang, Chenshaodong, Yingyi Zhang, Chao Feng, Ran Jiao |
| 2025 | GLOBECOM | Rotatable Antenna Enhanced Integrated Sensing and Communication. | Qingjie Wu, Beixiong Zheng, Changsheng You, Jie Tang |
| 2025 | HCI | An Empirical Study on the Technological Acceptance of AIGC in Design Education: A Multidimensional Analysis Based on Structural Equation Modeling. | Ye Chen, Jie Tang |
| 2025 | ICCV | VPO: Aligning Text-to-Video Generation Models with Prompt Optimization. | Jiale Cheng, Ruiliang Lyu, Xiaotao Gu, Xiao Liu, Jiazheng Xu, Yida Lu, Jiayan Teng, Zhuoyi Yang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang |
| 2025 | ICCV | AIM 2025 Challenge on Robust Offline Video Super-Resolution: Dataset, Methods and Results. | Nikolai Karetin, Ivan Molodetskikh, Dmitry Vatolin, Radu Timofte, Yixin Yang, Junyang Chen, Jiangxin Dong, Jinshan Pan, Zhihao Liu, Lishen Qu, Shihao Zhou, Jufeng Yang, Yuxuan Jiang, Siyue Teng, Chengxi Zeng, Fan Zhang, David Bull, Qi Tang, Jie Liu, Jie Tang, Gangshan Wu |
| 2025 | ICCV | LVBench: An Extreme Long Video Understanding Benchmark. | Weihan Wang, Zehai He, Wenyi Hong, Yean Cheng, Xiaohan Zhang, Ji Qi, Ming Ding, Xiaotao Gu, Shiyu Huang, Bin Xu, Yuxiao Dong, Jie Tang |
| 2025 | ICLR | LongWriter: Unleashing 10, 000+ Word Generation from Long Context LLMs. | Yushi Bai, Jiajie Zhang, Xin Lv, Linzhi Zheng, Siqi Zhu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li |
| 2025 | ICLR | SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models. | Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang |
| 2025 | ICLR | Understanding the Stability-based Generalization of Personalized Federated Learning. | Yingqi Liu, Qinglun Li, Jie Tang, Yifan Shi, Li Shen, Xiaochun Cao |
| 2025 | ICLR | VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents. | Xiao Liu, Tianjie Zhang, Yu Gu, Iat Long Iong, Xixuan Song, Yifan Xu, Shudan Zhang, Hanyu Lai, Jiadai Sun, Xinyue Yang, Yu Yang, Zehan Qi, Shuntian Yao, Xueqiao Sun, Siyi Cheng, Qinkai Zheng, Hao Yu, Hanchen Zhang, Wenyi Hong, Ming Ding, Lihang Pan, Xiaotao Gu, Aohan Zeng, Zhengxiao Du, Chan Hee Song, Yu Su, Yuxiao Dong, Jie Tang |
| 2025 | ICLR | CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning. | Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Bin Xu, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang |
| 2025 | ICLR | WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning. | Zehan Qi, Xiao Liu, Iat Long Iong, Hanyu Lai, Xueqiao Sun, Jiadai Sun, Xinyue Yang, Yu Yang, Shuntian Yao, Wei Xu, Jie Tang, Yuxiao Dong |
| 2025 | ICLR | CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer. | Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, Da Yin, Yuxuan Zhang, Weihan Wang, Yean Cheng, Bin Xu, Xiaotao Gu, Yuxiao Dong, Jie Tang |
| 2025 | ICLR | Scaling Speech-Text Pre-training with Synthetic Interleaved Data. | Aohan Zeng, Zhengxiao Du, Mingdao Liu, Lei Zhang, Shengmin Jiang, Yuxiao Dong, Jie Tang |
| 2025 | ICML | ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think. | Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang |
| 2025 | ICML | T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling. | Zhenyu Hou, Xin Lv, Rui Lu, Jiajie Zhang, Yujiang Li, Zijun Yao, Juanzi Li, Jie Tang, Yuxiao Dong |
| 2025 | ICML | A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models. | Mengyang Sun, Yihao Wang, Tao Feng, Dan Zhang, Yifan Zhu, Jie Tang |
| 2025 | KDD | GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model. | Yunhe Pang, Bo Chen, Fanjin Zhang, Yanghui Rao, Evgeny Kharlamov, Jie Tang |
| 2025 | KDD | SoAy: A Solution-based LLM API-using Methodology for Academic Information Seeking. | Yuanchun Wang, Jifan Yu, Zijun Yao, Jing Zhang, Yuyang Xie, Shangqing Tu, Yiyang Fu, Youhe Feng, Jinkai Zhang, Jingyao Zhang, Bowen Huang, Yuanyao Li, Huihui Yuan, Lei Hou, Juanzi Li, Jie Tang |
| 2025 | NPC | GICNet: Goal Interaction Conditioned Network for Human Trajectory Forecasting. | Jie Tang, Ken Chen, Feihe Guo |
| 2025 | VTC | Harmonic Field-Based Global Guidance for Multi-Hop Routing in UAV Networks. | Hanze Liu, Dongdong Li, Wupeng Xie, Jie Tang, Zhutian Yang, Chau Yuen |
| 2025 | VTC | Weighted Sum Rate Maximization for Self-Sustainable IRS-Aided SWIPT. | Wanli Ma, Xiaokai Song, Yanlong Zhao, Zhendong Yin, Beixiong Zheng, Jie Tang, Zhutian Yang |
| 2025 | RO-MAN | Granting a Second Chance: How Recovery Strategies Shape Perceptions of Intelligent Agent Errors. | Xin Miao, Jie Tang, Kaiping Peng, Fei Wang |
| 2024 | AAAI | Sketch and Refine: Towards Fast and Accurate Lane Detection. | Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu |
| 2024 | AAAI | TriSampler: A Better Negative Sampling Principle for Dense Retrieval. | Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang |
| 2024 | ACL | LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding. | Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang, Zhidian Huang, Zhengxiao Du, Xiao Liu, Aohan Zeng, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li |
| 2024 | ACL | Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. | Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang |
| 2024 | ACL | OpenWebAgent: An Open Toolkit to Enable Web Agents on Large Language Models. | Iat Long Iong, Xiao Liu, Yuxuan Chen, Hanyu Lai, Shuntian Yao, Pengbo Shen, Hao Yu, Yuxiao Dong, Jie Tang |
| 2024 | ACL | CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. | Pei Ke, Bosi Wen, Andrew Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang |
| 2024 | ACL | AlignBench: Benchmarking Chinese Alignment of Large Language Models. | Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang |
| 2024 | ACL | AutoRE: Document-Level Relation Extraction with Large Language Models. | Lilong Xue, Dan Zhang, Yuxiao Dong, Jie Tang |
| 2024 | ACL | Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration. | Kejuan Yang, Xiao Liu, Kaiwen Men, Aohan Zeng, Yuxiao Dong, Jie Tang |
| 2024 | ACL | AgentTuning: Enabling Generalized Agent Abilities for LLMs. | Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, Jie Tang |
| 2024 | ACL | Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking. | Xiaokang Zhang, Zijun Yao, Jing Zhang, Kaifeng Yun, Jifan Yu, Juanzi Li, Jie Tang |
| 2024 | ACL | SafetyBench: Evaluating the Safety of Large Language Models. | Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang |
| 2024 | ACL | NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries. | Shudan Zhang, Hanlin Zhao, Xiao Liu, Qinkai Zheng, Zehan Qi, Xiaotao Gu, Yuxiao Dong, Jie Tang |
| 2024 | CVPR | CogAgent: A Visual Language Model for GUI Agents. | Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxiao Dong, Ming Ding, Jie Tang |
| 2024 | CVPR | Bilateral Propagation Network for Depth Completion. | Jie Tang, Fei-Peng Tian, Boshi An, Jian Li, Ping Tan |
| 2024 | ECCV | GTPT: Group-Based Token Pruning Transformer for Efficient Human Pose Estimation. | Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu, Bo Xu, Yanbing Chou, Yong Wang |
| 2024 | ECCV | Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer. | Zhuoyi Yang, Heyang Jiang, Wenyi Hong, Jiayan Teng, Wendi Zheng, Yuxiao Dong, Ming Ding, Jie Tang |
| 2024 | ECCV | CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion. | Wendi Zheng, Jiayan Teng, Zhuoyi Yang, Weihan Wang, Jidong Chen, Xiaotao Gu, Yuxiao Dong, Ming Ding, Jie Tang |
| 2024 | EMNLP | Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments. | Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su |
| 2024 | EMNLP | LongAlign: A Recipe for Long Context Alignment of Large Language Models. | Yushi Bai, Xin Lv, Jiajie Zhang, Yuze He, Ji Qi, Lei Hou, Jie Tang, Yuxiao Dong, Juanzi Li |
| 2024 | EMNLP | AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. | Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang |
| 2024 | EMNLP | ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline. | Yifan Xu, Xiao Liu, Xinghan Liu, Zhenyu Hou, Yueyan Li, Xiaohan Zhang, Zihan Wang, Aohan Zeng, Zhengxiao Du, Wenyi Zhao, Jie Tang, Yuxiao Dong |
| 2024 | EMNLP | LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering. | Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Yuxiao Dong, Jie Tang |
| 2024 | EMNLP | CharacterGLM: Customizing Social Characters with Large Language Models. | Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Pei Ke, Guanqun Bi, Libiao Peng, Jiaming Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang |
| 2024 | ICLR | AgentBench: Evaluating LLMs as Agents. | Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang |
| 2024 | ICLR | Relay Diffusion: Unifying diffusion process across resolutions for image synthesis. | Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang |
| 2024 | ICLR | KoLA: Carefully Benchmarking World Knowledge of Large Language Models. | Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li |
| 2024 | ICML | Towards Efficient Exact Optimization of Language Model Alignment. | Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang |
| 2024 | ISCAS | DP-FFN: Block-Based Dynamic Pooling for Accelerating Feed-Forward Layers in Transformers. | Jie Tang, Shuai Wang, Song Chen, Yi Kang |
| 2024 | KDD | Generative AI Day. | Jie Tang, Yuxiao Dong, Michalis Vazirgiannis |
| 2024 | KDD | Multi-objective Learning to Rank by Model Distillation. | Jie Tang, Huiji Gao, Liwei He, Sanjeev Katariya |
| 2024 | KDD | AutoWebGLM: A Large Language Model-based Web Navigating Agent. | Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, Jie Tang |
| 2024 | KDD | The First Workshop on AI Behavioral Science. | Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie |
| 2024 | KDD | OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. | Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang |
| 2024 | KDD | Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. | Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang |
| 2024 | NSS | Revisiting Binary Code Authorship Analysis. | Saed Alrabaee, Mousa Al-Kfairy, Mohammad Bany Taha, Omar Alfandi, Fatma Taher, Jie Tang |
| 2024 | VTC | NOMA Assisted Semi-Grant-Free Transmission in UAV Networks with Multi-User Scheduling. | Junlin Huang, Huabing Lu, Jie Tang, Nan Zhao, Zhaoyuan Shi, Xianbin Wang |
| 2024 | VTC | Linear Framework of RIS-Assisted Downlink Communication System. | Shuaijun Li, Jie Tang, Guixin Pan, Guangguang Yang, Kai-Kit Wong, Maksim Davydov |
| 2024 | VTC | Joint Beamforming and Location Optimization for UAV-IRS Enhanced Cell-Free Network. | Xiaokai Song, Wanli Ma, Jie Tang, Zhutian Yang, Zhendong Yin, Zhilu Wu |
| 2024 | WWW | BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting. | Yuqing Cheng, Bo Chen, Fanjin Zhang, Jie Tang |
| 2024 | WWW | RecDCL: Dual Contrastive Learning for Recommendation. | Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang |
| 2024 | WWW | Challenges Toward AGI and Its Impact to the Web. | Bo Zhang, Jie Tang |
| 2024 | SIGIR | The Second Workshop on Large Language Models for Individuals, Groups, and Society. | Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang |
| 2024 | WSDM | WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. | Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang |
| 2023 | AAAI | From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution. | Jie Liu, Chao Chen, Jie Tang, Gangshan Wu |
| 2023 | AAAI | MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis. | Zhenyu Hou, Yukuo Cen, Ziding Liu, Dongxue Wu, Baoyan Wang, Xuanhe Li, Lei Hong, Jie Tang |
| 2023 | ACL | Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method. | Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang |
| 2023 | ACL | GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model. | Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang |
| 2023 | CIKM | GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation. | Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li, Jie Tang |
| 2023 | CIKM | Detecting Social Bot on the Fly using Contrastive Learning. | Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Jie Tang |
| 2023 | DAC | Invited: Autonomous Driving Digital Twin Empowered Design Automation: An Industry Perspective. | Bo Yu, Jie Tang, Shaoshan Liu |
| 2023 | EMNLP | FFAEval: Evaluating Dialogue System via Free-For-All Ranking. | Zeyao Ma, Zijun Yao, Jing Zhang, Jifan Yu, Xiaohan Zhang, Juanzi Li, Jie Tang |
| 2023 | EMNLP | Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers. | Weng Tam, Xiao Liu, Kaixuan Ji, Lilong Xue, Jiahua Liu, Tao Li, Yuxiao Dong, Jie Tang |
| 2023 | GLOBECOM | Intelligent Reflecting Surface Aided High-Speed Train Communications with Relaying: Joint Active and Passive Beamforming Design. | Jie Feng, Beixiong Zheng, Changsheng You, Xue Xiong, Jie Tang, Fangjiong Chen |
| 2023 | GLOBECOM | Achieving Unconstrained Signal Design for ISAC: Non-Coherent Processing and Beamforming Scheme. | Lutian Shen, Jie Tang, Ruoyan Ma, Junyuan Fan, Xiuyin Zhang |
| 2023 | GLOBECOM | Energy-aware Routing Protocol for UAV Electronic Warfare using Graph Attention and Fuzzy Reward. | Zihao Zhou, Jie Tang, Wanmei Feng, Kai-Kit Wong |
| 2023 | HCI | The Study of Sustainable Design for Child-Friendly Urban Public Spaces. | Xing Ji, YaLin Yang, Jie Tang |
| 2023 | HCI | Application of Mathematical Logic in Modern Design. | Jie Tang, Xing Ji |
| 2023 | ICASSP | CPD-GAN: Cascaded Pyramid Deformation GAN for Pose Transfer. | Yuan Huang, Yuting Tang, Xiu Zheng, Jie Tang |
| 2023 | ICASSP | Reliable Cluster-Based Framework for Open Set Domain Adaptation. | Xiu Zheng, Yuan Huang, Jie Tang |
| 2023 | ICCV | Robust Object Modeling for Visual Tracking. | Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu |
| 2023 | ICDE | Modelling High-Order Social Relations for Item Recommendation (Extended Abstract). | Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang |
| 2023 | ICDM | On Computing Paradigms - Where Will Large Language Models Be Going. | Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang |
| 2023 | ICLR | CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers. | Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, Jie Tang |
| 2023 | ICLR | GLM-130B: An Open Bilingual Pre-trained Model. | Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Zhiyuan Liu, Peng Zhang, Yuxiao Dong, Jie Tang |
| 2023 | IJCAI | Video Frame Interpolation with Densely Queried Bilateral Correlation. | Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu |
| 2023 | KDD | Web-Scale Academic Name Disambiguation: The WhoIsWho Benchmark, Leaderboard, and Toolkit. | Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, Xiaoyan Li, Yuxiao Dong, Jie Tang |
| 2023 | KDD | WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences. | Xiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, Jie Tang |
| 2023 | KDD | Optimizing Airbnb Search Journey with Multi-task Learning. | Chun How Tan, Austin Chan, Malay Haldar, Jie Tang, Xin Liu, Mustafa Abdool, Huiji Gao, Liwei He, Sanjeev Katariya |
| 2023 | KDD | BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. | Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang |
| 2023 | KDD | GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation. | Jing Zhang, Xiaokang Zhang, Daniel Zhang-Li, Jifan Yu, Zijun Yao, Zeyao Ma, Yiqi Xu, Haohua Wang, Xiaohan Zhang, Nianyi Lin, Sunrui Lu, Juanzi Li, Jie Tang |
| 2023 | KDD | CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X. | Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Lei Shen, Zihan Wang, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang |
| 2023 | KDD | WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. | Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang |
| 2023 | Mobiquitous | HAU$\mathbf {M^3}$: A Height Aware Urban Map Matching Mechanism. | Jie Tang, Sunjian Zheng, Bo Yu, Shaoshan Liu |
| 2023 | VTC | A Distributed and Adaptive Routing Protocol for UAV-aided Emergency Networks. | Jie Tang, Zihao Zhou, Wanmei Feng, Kai-Kit Wong |
| 2023 | WWW | CogDL: A Comprehensive Library for Graph Deep Learning. | Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang |
| 2023 | WWW | GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. | Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang |
| 2023 | WWW | ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. | Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang |
| 2023 | SIGIR | MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. | Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang |
| 2022 | AAAI | CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking. | Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang |
| 2022 | ACL | GLM: General Language Model Pretraining with Autoregressive Blank Infilling. | Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang |
| 2022 | ACL | P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks. | Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Tam, Zhengxiao Du, Zhilin Yang, Jie Tang |
| 2022 | ACL | DeepStruct: Pretraining of Language Models for Structure Prediction. | Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song |
| 2022 | ACL | HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for Chinese. | Daniel Zhang-li, Jing Zhang, Jifan Yu, Xiaokang Zhang, Peng Zhang, Jie Tang, Juanzi Li |
| 2022 | ACL | Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering. | Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, Hong Chen |
| 2022 | ACL | FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. | Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Chonghua Liao, Li Jian, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang |
| 2022 | ACL | FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. | Jing Zhou, Yanan Zheng, Jie Tang, Li Jian, Zhilin Yang |
| 2022 | CVPR | Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution. | Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu |
| 2022 | CVPR | NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. | Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang |
| 2022 | CVPR | BodyGAN: General-purpose Controllable Neural Human Body Generation. | Chaojie Yang, Hanhui Li, Shengjie Wu, Shengkai Zhang, Haonan Yan, Nianhong Jiao, Jie Tang, Runnan Zhou, Xiaodan Liang, Tianxiang Zheng |
| 2022 | EMNLP | Parameter-Efficient Tuning Makes a Good Classification Head. | Zhuoyi Yang, Ming Ding, Yanhui Guo, Qingsong Lv, Jie Tang |
| 2022 | GLOBECOM | Energy-Efficient Resource Allocation for IRS-aided MISO System with SWIPT. | Jie Tang, Ziyao Peng, Zihao Zhou, Daniel K. C. So, Xiuyin Zhang, Kai-Kit Wong |
| 2022 | GLOBECOM | Uplink Secure Communication via Intelligent Reflecting Surface and Energy-Harvesting Jammer. | Tiantian Qiao, Yang Cao, Jie Tang, Nan Zhao, Kai-Kit Wong |
| 2022 | HCI | Research on Training Model of Design Talents Based on Well-Being Cultural Industry. | Xing Ji, Jie Tang, Jing Wang |
| 2022 | HCI | Research and Re Practice of Oyster Shell Architectural Culture. | Jie Tang, Xing Ji |
| 2022 | ICASSP | Two Strategies Toward Lightweight Image Super-Resolution. | Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu |
| 2022 | ICASSP | Pyramid Fusion Attention Network For Single Image Super-Resolution. | Hao He, Zongcai Du, Wenfeng Li, Jie Tang, Gangshan Wu |
| 2022 | ICASSP | Hierarchical Feature Aggregation Network for Deep Image Compression. | Wenfeng Li, Zongcai Du, Hao He, Jie Tang, Gangshan Wu |
| 2022 | ICDE | Hierarchical Representation Learning for Attributed Networks. | Shu Zhao, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, Philip S. Yu |
| 2022 | ICIP | A Noise Preserving Sharpening Filter for CT Image Enhancement. | Madhuri Nagare, Jie Tang, Obaidullah Rahman, Brian Nett, Roman Melnyk, Ken D. Sauer, Charles A. Bouman |
| 2022 | ICIS | The Dark Side of Dark Mode: How Does Screen Display Mode Affect Financial Crimes. | Jie Tang, Zhenhui Jiang |
| 2022 | ICML | GACT: Activation Compressed Training for Generic Network Architectures. | Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung |
| 2022 | IJCAI | Rethinking the Setting of Semi-supervised Learning on Graphs. | Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang |
| 2022 | KDD | Toward Graph Minimally-Supervised Learning. | Kaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu |
| 2022 | KDD | GraphMAE: Self-Supervised Masked Graph Autoencoders. | Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang |
| 2022 | KDD | OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services. | Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang |
| 2022 | KDD | Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. | Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang |
| 2022 | KDD | XDAI: A Tuning-free Framework for Exploiting Pre-trained Language Models in Knowledge Grounded Dialogue Generation. | Jifan Yu, Xiaohan Zhang, Yifan Xu, Xuanyu Lei, Xinyu Guan, Jing Zhang, Lei Hou, Juanzi Li, Jie Tang |
| 2022 | NPC | TransMigrator: A Transformer-Based Predictive Page Migration Mechanism for Heterogeneous Memory. | Songwen Pei, Jianan Li, Yihuan Qian, Jie Tang, Jean-Luc Gaudiot |
| 2022 | NPC | A Progressive Transmission Method of Cloud Point Data for HD Map in Autonomous Driving. | Jie Tang, Kai Jiang, Rui Huang |
| 2022 | NPC | A Spatial-Temporal Similarity-Based Cooperative Surveillance Framework by Edge. | Jie Tang, Yuxuan Zhao, Rui Huang |
| 2022 | PPoPP | BaGuaLu: targeting brain scale pretrained models with over 37 million cores. | Zixuan Ma, Jiaao He, Jiezhong Qiu, Huanqi Cao, Yuanwei Wang, Zhenbo Sun, Liyan Zheng, Haojie Wang, Shizhi Tang, Tianyu Zheng, Junyang Lin, Guanyu Feng, Zeqiang Huang, Jie Gao, Aohan Zeng, Jianwei Zhang, Runxin Zhong, Tianhui Shi, Sha Liu, Weimin Zheng, Jie Tang, Hongxia Yang, Xin Liu, Jidong Zhai, Wenguang Chen |
| 2022 | WWW | GRAND+: Scalable Graph Random Neural Networks. | Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang |
| 2022 | WWW | SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. | Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang |
| 2022 | WWW | STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation. | Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang, Jie Tang |
| 2022 | RTAS | Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System. | Shaoshan Liu, Jianda Wang, Zhendong Wang, Bo Yu, Wei Hu, Yahui Liu, Jie Tang, Shuaiwen Leon Song, Cong Liu, Yang Hu |
| 2021 | ASPDAC | On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study. | Bo Yu, Jie Tang, Shaoshan Liu |
| 2021 | CIKM | Talking Face Generation Based on Information Bottleneck and Complementary Representations. | Jie Tang, Yiling Wu, Minglei Li, Zhu Wang |
| 2021 | CIKM | MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. | Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, Maosong Sun |
| 2021 | COMPSAC | Streaming Data Priority Scheduling Framework for Autonomous Driving by Edge. | Lingbing Yao, Hang Zhao, Jie Tang, Shaoshan Liu, Jean-Luc Gaudiot |
| 2021 | CVPR | Anchor-Based Plain Net for Mobile Image Super-Resolution. | Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu |
| 2021 | DAC | Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities. | Shaoshan Liu, Bo Yu, Jie Tang, Qi Zhu |
| 2021 | EMNLP | Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. | Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song |
| 2021 | GLOBECOM | Offset Learning based Channel Estimation for IRS-Assisted Indoor Communication. | Zhen Chen, Hengbin Tang, Jie Tang, Xiu Yin Zhang, Qingqing Wu, Shi Jin, Kai-Kit Wong |
| 2021 | GLOBECOM | SINR Maximization for RIS-Assisted Secure Dual-Function Radar Communication Systems. | Sisai Fang, Gaojie Chen, Peng Xu, Jie Tang, Jonathon A. Chambers |
| 2021 | GLOBECOM | Energy Efficiency Optimization for D2D communications in UAV-assisted Networks with SWIPT. | Zhijie Su, Jie Tang, Wanmei Feng, Zhen Chen, Yuli Fu, Kai-Kit Wong |
| 2021 | HPCA | Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines Industry Track Paper. | Yiming Gan, Bo Yu, Boyuan Tian, Leimeng Xu, Wei Hu, Shaoshan Liu, Qiang Liu, Yanjun Zhang, Jie Tang, Yuhao Zhu |
| 2021 | ICASSP | Learning Discriminative Features for Semi-Supervised Anomaly Detection. | Zhe Feng, Jie Tang, Yishun Dou, Gangshan Wu |
| 2021 | ICASSP | Lightweight Human Pose Estimation under Resource-Limited Scenes. | Zhe Zhang, Jie Tang, Gangshan Wu |
| 2021 | IJCAI | Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees. | Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov |
| 2021 | KDD | The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021). | Ming Ding, Yuxiao Dong, Xiao Liu, Jiezhong Qiu, Jie Tang, Zhilin Yang |
| 2021 | KDD | MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems. | Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang |
| 2021 | KDD | Graph Representation Learning: Foundations, Methods, Applications and Systems. | Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu |
| 2021 | KDD | M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. | Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang |
| 2021 | KDD | Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks. | Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang |
| 2021 | KDD | Controllable Generation from Pre-trained Language Models via Inverse Prompting. | Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang |
| 2021 | KDD | TDGIA: Effective Injection Attacks on Graph Neural Networks. | Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang |
| 2021 | MICRO | Archytas: A Framework for Synthesizing and Dynamically Optimizing Accelerators for Robotic Localization. | Weizhuang Liu, Bo Yu, Yiming Gan, Qiang Liu, Jie Tang, Shaoshan Liu, Yuhao Zhu |
| 2021 | NPC | A KNN Query Method for Autonomous Driving Sensor Data. | Jie Tang, Jiehui Zhang, Zhixin Zeng, Shaoshan Liu |
| 2021 | WCNC | Secrecy Analysis for NOMA networks With a Full-Duplex Jamming Relay. | Dongdong Li, Yang Cao, Jie Tang, Yunfei Chen, Shun Zhang, Nan Zhao, Zhiguo Ding |
| 2021 | SIGMOD | LightNE: A Lightweight Graph Processing System for Network Embedding. | Jiezhong Qiu, Laxman Dhulipala, Jie Tang, Richard Peng, Chi Wang |
| 2021 | WISE | Expertise-Aware Crowdsourcing Taxonomy Enrichment. | Yuquan Wang, Yanpeng Wang, Yiming Mao, Jifan Yu, Kaisheng Zeng, Lei Hou, Juanzi Li, Jie Tang |
| 2021 | RTAS | Brief Industry Paper: An Edge-Based High-Definition Map Crowdsourcing Task Distribution Framework for Autonomous Driving. | Donghua Li, Jie Tang, Shaoshan Liu |
| 2021 | RTAS | Brief Industry Paper: The Matter of Time - A General and Efficient System for Precise Sensor Synchronization in Robotic Computing. | Shaoshan Liu, Bo Yu, Yahui Liu, Kunai Zhang, Yisong Qiao, Thomas Yuang Li, Jie Tang, Yuhao Zhu |
| 2021 | RTAS | Brief Industry Paper: An Infrastructure-Aided High Definition Map Data Provisioning Service for Autonomous Driving. | Jinliang Xie, Jie Tang, Yanzhi Wang, Qi Zhu, Shaoshan Liu |
| 2020 | ACL | MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs. | Jifan Yu, Gan Luo, Tong Xiao, Qingyang Zhong, Yuquan Wang, Wenzheng Feng, Junyi Luo, Chenyu Wang, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang |
| 2020 | CVPR | Residual Feature Aggregation Network for Image Super-Resolution. | Jie Liu, Wenjie Zhang, Yuting Tang, Jie Tang, Gangshan Wu |
| 2020 | DASFAA | MRMRP: Multi-source Review-Based Model for Rating Prediction. | Xiaochen Wang, Tingsong Xiao, Jie Tang, Deqiang Ouyang, Jie Shao |
| 2020 | ECAI | Belief Map Enhancement Network for Accurate Human Pose Estimation. | Jie Liu, Yishun Dou, Wenjie Zhang, Jie Tang, Gangshan Wu |
| 2020 | ECCV | Residual Feature Distillation Network for Lightweight Image Super-Resolution. | Jie Liu, Jie Tang, Gangshan Wu |
| 2020 | ECCV | AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. | Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, ric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni |
| 2020 | EMNLP | Blockwise Self-Attention for Long Document Understanding. | Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, Jie Tang |
| 2020 | HCI | Infiltration of Sustainable Environmental Space Service Design in a Cross-Cultural Context. | Xing Ji, LiuYing Huang, ChengYao Cai, Jie Tang |
| 2020 | HCI | New Digital Media Technologies Put Forth Cross-domain Design. | Jie Tang, ChengYao Cai, LiuYing Huang, Xing Ji |
| 2020 | ICASSP | Low Complexity Single Image Super-Resolution with Channel Splitting and Fusion Network. | Minqiang Zou, Jie Tang, Gangshan Wu |
| 2020 | IJCAI | Heterogeneous Network Representation Learning. | Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang |
| 2020 | IJCNLP | ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs. | Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Jie Tang, Minlie Huang, Zhiyuan Liu |
| 2020 | IROS | π-Map: A Decision-Based Sensor Fusion with Global Optimization for Indoor Mapping. | Zhiliu Yang, Bo Yu, Wei Hu, Jie Tang, Shaoshan Liu, Chen Liu |
| 2020 | KDD | Controllable Multi-Interest Framework for Recommendation. | Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang |
| 2020 | KDD | GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. | Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang |
| 2020 | KDD | Understanding Negative Sampling in Graph Representation Learning. | Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang |
| 2020 | MICRO | Building the Computing System for Autonomous Micromobility Vehicles: Design Constraints and Architectural Optimizations. | Bo Yu, Wei Hu, Leimeng Xu, Jie Tang, Shaoshan Liu, Yuhao Zhu |
| 2020 | SIGIR | Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. | Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu |
| 2019 | AAAI | Understanding Dropouts in MOOCs. | Wenzheng Feng, Jie Tang, Tracy Xiao Liu |
| 2019 | ACL | Cognitive Graph for Multi-Hop Reading Comprehension at Scale. | Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang |
| 2019 | ACL | Course Concept Expansion in MOOCs with External Knowledge and Interactive Game. | Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang |
| 2019 | EDM | Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades. | Tianqi Wang, Qi Li, Jing Gao, Xia Jing, Jie Tang |
| 2019 | EMNLP | Towards Knowledge-Based Recommender Dialog System. | Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang |
| 2019 | GLOBECOM | On Energy Harvesting of Hybrid TDMA-NOMA Systems. | Haitham Moffaqq Al-Obiedollah, Kanapathippillai Cumanan, Alister G. Burr, Jie Tang, Yogachandran Rahulamathavan, Zhiguo Ding, Octavia A. Dobre |
| 2019 | GLOBECOM | A Reinforcement Learning Approach for D2D-Assisted Cache-Enabled HetNets. | Jie Tang, Hengbin Tang, Nan Zhao, Kanapathippillai Cumanan, Shunqing Zhang, Yongjin Zhou |
| 2019 | HPCC | Energy-Efficient Data Caching Framework for Spark in Hybrid DRAM/NVM Memory Architectures. | Bo Wang, Jie Tang, Rui Zhang, Wei Ding, Shaoshan Liu, Deyu Qi |
| 2019 | ICIS | Reposts Influencing the Effectiveness of Social Reporting System: An Empirical Study from Sina Weibo. | Jie Tang, Ka Chung Ng |
| 2019 | IJCAI | Network Embedding under Partial Monitoring for Evolving Networks. | Yu Han, Jie Tang, Qian Chen |
| 2019 | IJCAI | ProNE: Fast and Scalable Network Representation Learning. | Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding |
| 2019 | IJCAI | Large Scale Evolving Graphs with Burst Detection. | Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang |
| 2019 | KDD | Representation Learning for Attributed Multiplex Heterogeneous Network. | Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang |
| 2019 | KDD | Towards Knowledge-Based Personalized Product Description Generation in E-commerce. | Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang |
| 2019 | KDD | Infer Implicit Contexts in Real-time Online-to-Offline Recommendation. | Xichen Ding, Jie Tang, Tracy Xiao Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen |
| 2019 | KDD | Sequential Scenario-Specific Meta Learner for Online Recommendation. | Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang |
| 2019 | KDD | Learning From Networks: Algorithms, Theory, and Applications. | Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu |
| 2019 | KDD | OAG: Toward Linking Large-scale Heterogeneous Entity Graphs. | Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, Kuansan Wang |
| 2019 | MMM | Personalized Recommendation of Photography Based on Deep Learning. | Zhixiang Ji, Jie Tang, Gangshan Wu |
| 2019 | NPC | A DAG Refactor Based Automatic Execution Optimization Mechanism for Spark. | Hang Zhao, Yu Rao, Donghua Li, Jie Tang, Shaoshan Liu |
| 2019 | PAKDD | Event2Vec: Learning Event Representations Using Spatial-Temporal Information for Recommendation. | Yan Wang, Jie Tang |
| 2019 | PAKDD | EFCNN: A Restricted Convolutional Neural Network for Expert Finding. | Yifeng Zhao, Jie Tang, Zhengxiao Du |
| 2019 | PIMRC | Precoding Optimization for NOMA UAV with Cellular Connections. | Xiaowei Pang, Nan Zhao, Weile Zhang, Yunfei Chen, Jie Tang, Zhiguo Ding, Fumiyuki Adachi |
| 2019 | VTC | Artificial Jamming Assisted Secure Transmission for MISO-NOMA Networks. | Wei Wang, Nan Zhao, Yunfei Chen, Jie Tang, Xiu-Yin Zhang, Zhiguo Ding, Norman C. Beaulieu |
| 2019 | WWW | Representation Learning on Networks: Theories, Algorithms, and Applications. | Jie Tang, Yuxiao Dong |
| 2019 | WWW | Panel: Computational Methods about Knowledge Graph. | Jie Tang, Jure Leskovec, Kuansan Wang, Deborah L. McGuinness, Hassan Sawaf |
| 2019 | WWW | NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. | Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang |
| 2018 | ACML | Fast Randomized PCA for Sparse Data. | Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang |
| 2018 | CIKM | Semi-supervised Learning on Graphs with Generative Adversarial Nets. | Ming Ding, Jie Tang, Jie Zhang |
| 2018 | COMPSAC | Teaching Autonomous Driving Using a Modular and Integrated Approach. | Jie Tang, Shaoshan Liu, Songwen Pei, Stphane Zuckerman, Chen Liu, Weisong Shi, Jean-Luc Gaudiot |
| 2018 | GLOBECOM | Mobility Improves NOMA Physical Layer Security. | Jie Tang, Long Jiao, Ning Wang, Pu Wang, Kai Zeng, Hong Wen |
| 2018 | GLOBECOM | Energy-Efficient Resource Allocation in SWIPT Enabled NOMA Systems. | Jie Tang, Jingci Luo, Daniel K. C. So, Emad Alsusa, Kai-Kit Wong, Nan Zhao |
| 2018 | HCI | From Traditional Culture to Lifestyle - A Case Study on Local Specialties in the Lingnan Area. | Zhaoqi Wu, Xiao Song, Jie Shen, Jie Tang |
| 2018 | ICA3PP | CuAPSS: A Hybrid CUDA Solution for AllPairs Similarity Search. | Yilin Feng, Jie Tang, Chongjun Wang, Junyuan Xie |
| 2018 | ICA3PP | A Parallel Method for All-Pair SimRank Similarity Computation. | Xuan Huang, Xingkun Gao, Jie Tang, Gangshan Wu |
| 2018 | ICANN | Interactive Area Topics Extraction with Policy Gradient. | Jingfei Han, Wenge Rong, Fang Zhang, Yutao Zhang, Jie Tang, Zhang Xiong |
| 2018 | IJCAI | Weakly Learning to Match Experts in Online Community. | Yujie Qian, Jie Tang, Kan Wu |
| 2018 | IJCAI | Cross-Domain Depression Detection via Harvesting Social Media. | Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall |
| 2018 | IJCAI | Where Have You Been? Inferring Career Trajectory from Academic Social Network. | Kan Wu, Jie Tang, Chenhui Zhang |
| 2018 | INFOCOM | A comparative analysis of school pupils' daily habits in Germany and China. | Xiaoming Fu, Hong Huang, Xiang-Yang Li, Haisheng Tan, Jie Tang |
| 2018 | IROS | π-SoC: Heterogeneous SoC Architecture for Visual Inertial SLAM Applications. | Jie Tang, Bo Yu, Shaoshan Liu, Zhe Zhang, Weikang Fang, Yanjun Zhang |
| 2018 | ICTAI | Fast Document Cosine Similarity Self-Join on GPUs. | Yilin Feng, Jie Tang, Meilin Liu, Chongjun Wang, Junyuan Xie |
| 2018 | ISPA | LCRC: A Dependency-Aware Cache Management Policy for Spark. | Bo Wang, Jie Tang, Rui Zhang, Wei Ding, Deyu Qi |
| 2018 | KDD | DeepInf: Social Influence Prediction with Deep Learning. | Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang |
| 2018 | KDD | Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop. | Yutao Zhang, Fanjin Zhang, Peiran Yao, Jie Tang |
| 2018 | VTC | Full-Duplex Enabled Cloud Radio Access Network. | Arman Shojaeifard, Kai-Kit Wong, Wei Yu, Gan Zheng, Jie Tang |
| 2018 | WCNC | Resource and energy efficient device to device communications in downlink cellular system. | Fakrulradzi Idris, Jie Tang, Daniel K. C. So |
| 2018 | WWW | BigNet 2018 Chairs' Welcome & Organization. | Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D. Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger |
| 2018 | UIC | Energy-Aware Automatic Tuning of Many-Core Platform via Gradient Descent. | Samer Akiki, Zhiliu Yang, Chen Liu, Jie Tang, Shaoshan Liu |
| 2018 | WSDM | User Profiling through Deep Multimodal Fusion. | Golnoosh Farnadi, Jie Tang, Martine De Cock, Marie-Francine Moens |
| 2018 | WSDM | Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. | Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang |
| 2017 | AAAI | Word Embedding Based Correlation Model for Question/Answer Matching. | Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong |
| 2017 | AAAI | Cross-Domain Ranking via Latent Space Learning. | Jie Tang, Wendy Hall |
| 2017 | AAAI | StructInf: Mining Structural Influence from Social Streams. | Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun |
| 2017 | ACL | Prerequisite Relation Learning for Concepts in MOOCs. | Liangming Pan, Chengjiang Li, Juanzi Li, Jie Tang |
| 2017 | CIKM | BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. | Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou |
| 2017 | EDM | Can AI help MOOCs? | Jie Tang |
| 2017 | ICDM | iNEAT: Incomplete Network Alignment. | Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan |
| 2017 | IJCAI | Who to Invite Next? Predicting Invitees of Social Groups. | Yu Han, Jie Tang |
| 2017 | IJCNLP | Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation. | Liangming Pan, Xiaochen Wang, Chengjiang Li, Juanzi Li, Jie Tang |
| 2017 | IJCNN | Deep convolutional neural networks for pedestrian detection with skip pooling. | Jie Liu, Xingkun Gao, Nianyuan Bao, Jie Tang, Gangshan Wu |
| 2017 | ISPA | Improving Scheduling Efficiency of Hadoop YARN Using AFSA Algorithm. | Jie Tang, Junlei Gao, Gangshan Wu |
| 2017 | KDD | LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity. | Yutao Zhang, Robert Chen, Jie Tang, Walter F. Stewart, Jimeng Sun |
| 2017 | NPC | CSAS: Cost-Based Storage Auto-Selection, a Fine Grained Storage Selection Mechanism for Spark. | Bo Wang, Jie Tang, Rui Zhang, Zhimin Gu |
| 2017 | VTC | Energy Efficient Resource Allocation in Downlink Non-Orthogonal Multiple Access (NOMA) System. | Ziad Qais Al-Abbasi, Daniel K. C. So, Jie Tang |
| 2017 | VTC | Cooperative Jamming Aided Secrecy Enhancement in Wireless Networks with Multiple Eavesdroppers. | Lin Hu, Hong Wen, Bin Wu, Jie Tang, Fei Pan, Zhengguang Zhang, Yixin Jiang, Aidong Xu |
| 2017 | VTC | Energy Efficient Device to Device Communication by Resource Efficiency Optimization. | Fakrulradzi Idris, Jie Tang, Daniel K. C. So |
| 2017 | VTC | Energy Efficiency Optimization for Heterogeneous Cellular Networks. | Jie Tang, Daniel K. C. So, Emad Alsusa, Khairi A. Hamdi, Arman Shojaeifard, Kai-Kit Wong |
| 2017 | VTC | Energy Efficiency Optimization for Spatial Switching-Based MIMO SWIPT System. | Jie Tang, Daniel K. C. So, Arman Shojaeifard, Kai-Kit Wong |
| 2017 | VTC | Energy Efficient Resource Allocation for MIMO SWIPT Broadcast Channels. | Jie Tang, Daniel K. C. So, Arman Shojaeifard, Kai-Kit Wong |
| 2017 | VTC | Achieving Unconditional Security for MIMO-BAN under Short Blocklength Wiretap Code. | Jie Tang, Hong Wen, Kai Zeng, Lin Hu, Song-Lin Chen |
| 2017 | WCNC | Self-Interference Distribution over Full-Duplex Multi-User MIMO Channels. | Arman Shojaeifard, Kai-Kit Wong, Marco Di Renzo, Khairi Ashour Hamdi, Jie Tang |
| 2017 | WWW | Computational Models for Social Network Analysis: A Brief Survey. | Jie Tang |
| 2017 | WWW | Smart Jump: Automated Navigation Suggestion for Videos in MOOCs. | Han Zhang, Maosong Sun, Xiaochen Wang, Zhengyang Song, Jie Tang, Jimeng Sun |
| 2017 | WISE | When Will a Repost Cascade Settle Down? | Chi Chen, Hongliang Tian, Jie Tang, Chunxiao Xing |
| 2016 | AAAI | Social Role-Aware Emotion Contagion in Image Social Networks. | Yang Yang, Jia Jia, Boya Wu, Jie Tang |
| 2016 | CIKM | BigNet 2016: First Workshop on Big Network Analytics. | Jie Tang, Keke Cai, Zhong Su, Hanghang Tong, Michalis Vazirgiannis, Yang Yang |
| 2016 | GLOBECOM | Design and Analysis of Full-Duplex Massive MIMO Cellular Networks. | Arman Shojaeifard, Kai-Kit Wong, Marco Di Renzo, Khairi Ashour Hamdi, Jie Tang |
| 2016 | ICDE | The prediction of venture capital co-investment based on structural balance theory. | Yun Zhou, Zhiyuan Wang, Jie Tang, Jarder Luo |