Siliang Tang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
92
Venues
21
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
92 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Evolving Generalist Virtual Agents with Generative and Associative Memory. | Zhenkui Zhang, Wendong Bu, Kaihang Pan, Bingchen Miao, Wenqiao Zhang, Guoming Wang, Wei Ji, Rui Tang, Juncheng Li, Siliang Tang |
| 2026 | ACL | CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging. | Jie Cao, Zhenxuan Fan, Zhuonan Wang, Tianwei Lin, Ziyuan Zhao, Rolan Yan, Wenqiao Zhang, Feifei Shao, Hongwei Wang, Jun Xiao, Siliang Tang |
| 2026 | ACL | MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models. | Jie Cao, Tianwei Lin, Bo Yuan, Rolan Yan, Hongyang He, Wenqiao Zhang, Juncheng Li, Dongping Zhang, Siliang Tang, Yueting Zhuang |
| 2026 | ACL | AHEAD: Attention Head Energy-Aware Dynamics for Hallucination Mitigation in MLLMs. | Jiale Chang, Ying Li, Siliang Tang, Yueting Zhuang |
| 2026 | ACL | PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language Models. | Haoyu Zheng, Yun Zhu, Yuqian Yuan, Bo Yuan, Wenqiao Zhang, Siliang Tang, Jun Xiao |
| 2026 | WWW | Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs. | Zhaoyu Fan, Kaihang Pan, Mingze Zhou, Bosheng Qin, Juncheng Li, Shengyu Zhang, Wenqiao Zhang, Siliang Tang, Fei Wu, Yueting Zhuang |
| 2025 | ACL | Align²LLaVA: Cascaded Human and Large Language Model Preference Alignment for Multi-modal Instruction Curation. | Hongzhe Huang, Jiang Liu, Zhewen Yu, Li Cai, Dian Jiao, Wenqiao Zhang, Siliang Tang, Juncheng Li, Hao Jiang, Haoyuan Li, Yueting Zhuang |
| 2025 | ACL | ChatMap: Mining Human Thought Processes for Customer Service Chatbots via Multi-Agent Collaboration. | Xinyi Jiang, Tianyi Hu, Yuheng Qin, Guoming Wang, Zhou Huan, Kehan Chen, Gang Huang, Rongxing Lu, Siliang Tang |
| 2025 | ACL | TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition. | Tianwei Lin, Jiang Liu, Wenqiao Zhang, Yang Dai, Haoyuan Li, Zhelun Yu, Wanggui He, Juncheng Li, Jiannan Guo, Hao Jiang, Siliang Tang, Yueting Zhuang |
| 2025 | ACL | Meta-Reflection: A Feedback-Free Reflection Learning Framework. | Yaoke Wang, Yun Zhu, XintongBao XintongBao, Wenqiao Zhang, Suyang Dai, Kehan Chen, Wenqiang Li, Gang Huang, Siliang Tang, Yueting Zhuang |
| 2025 | AISTATS | Choice is what matters after Attention. | Chenhan Fu, Guoming Wang, Juncheng Li, Rongxing Lu, Siliang Tang |
| 2025 | COLING | ITERATE: Image-Text Enhancement, Retrieval, and Alignment for Transmodal Evolution with LLMs. | Chenhan Fu, Guoming Wang, Juncheng Li, Wenqiao Zhang, Rongxing Lu, Siliang Tang |
| 2025 | CVPR | Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens. | Kaihang Pan, Wang Lin, Zhongqi Yue, Tenglong Ao, Liyu Jia, Wei Zhao, Juncheng Li, Siliang Tang, Hanwang Zhang |
| 2025 | CVPR | STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training. | Haiyi Qiu, Minghe Gao, Long Qian, Kaihang Pan, Qifan Yu, Juncheng Li, Wenjie Wang, Siliang Tang, Yueting Zhuang, Tat-Seng Chua |
| 2025 | CVPR | AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea. | Qifan Yu, Wei Chow, Zhongqi Yue, Kaihang Pan, Yang Wu, Xiaoyang Wan, Juncheng Li, Siliang Tang, Hanwang Zhang, Yueting Zhuang |
| 2025 | ICCV | Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program. | Minghe Gao, Xuqi Liu, Zhongqi Yue, Yang Wu, Shuang Chen, Juncheng Li, Siliang Tang, Fei Wu, Tat-Seng Chua, Yueting Zhuang |
| 2025 | ICCV | Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining. | Zhiqi Ge, Juncheng Li, Xinglei Pang, Minghe Gao, Kaihang Pan, Wang Lin, Hao Fei, Wenqiao Zhang, Siliang Tang, Yueting Zhuang |
| 2025 | ICCV | The Best of Both Worlds: Integrating Language Models and Diffusion Models for Video Generation. | Aoxiong Yin, Xu Tan, Kai Shen, Yichong Leng, Xinyu Zhou, Juncheng Li, Siliang Tang |
| 2025 | ICCV | Mastering Collaborative Multi-Modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness. | Qifan Yu, Zhebei Shen, Zhongqi Yue, Yang Wu, Bosheng Qin, Wenqiao Zhang, Yunfei Li, Juncheng Li, Siliang Tang, Yueting Zhuang |
| 2025 | ICML | On Path to Multimodal Generalist: General-Level and General-Bench. | Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Weiming Wu, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo, Jiebo Luo, Tat-Seng Chua, Shuicheng Yan, Hanwang Zhang |
| 2025 | ICML | What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities. | Wendong Bu, Yang Wu, Qifan Yu, Minghe Gao, Bingchen Miao, Zhenkui Zhang, Kaihang Pan, Liyunfei, Mengze Li, Wei Ji, Juncheng Li, Siliang Tang, Yueting Zhuang |
| 2025 | ICML | HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation. | Tianwei Lin, Wenqiao Zhang, Sijing Li, Yuqian Yuan, Binhe Yu, Haoyuan Li, Wanggui He, Hao Jiang, Mengze Li, Xiaohui Song, Siliang Tang, Jun Xiao, Hui Lin, Yueting Zhuang, Beng Chin Ooi |
| 2025 | ICML | Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark. | Bingchen Miao, Yang Wu, Minghe Gao, Qifan Yu, Wendong Bu, Wenqiao Zhang, Yunfei Li, Siliang Tang, Tat-Seng Chua, Juncheng Li |
| 2025 | IJCAI | Logic Distillation: Learning from Code Function by Function for Decision-making Tasks. | Dong Chen, Shilin Zhang, Fei Gao, Yueting Zhuang, Siliang Tang, Qidong Liu, Mingliang Xu |
| 2025 | KSEM | Global Discovery: A Global Graph-RAG Approach for Query-Focused Multimodal Summarization Across Multiple PDF Papers. | Chenhan Fu, Guoming Wang, Rongxing Lu, Siliang Tang |
| 2025 | MMM | MM-CARP: Multimodal Model with Cross-Modal Retrieval-Augmented and Visual Region Perception. | Junhao Guo, Chenhan Fu, Guoming Wang, Rongxing Lu, Dong Chen, Siliang Tang |
| 2025 | PRICAI | Combining Non-numerical Text and Numerical Sequences in LLM-Based Survival Prediction. | Zijie Zhou, Guoqing Qian, Xinyi Jiang, Guoming Wang, Rongxing Lu, Ling Xiao, Siliang Tang |
| 2025 | SMC | SkyNet: An Extensible Edge-Cloud Collaborative Framework for Robots in Long-Horizon Tasks. | Xinyi Jiang, Guoming Wang, Rongxing Lu, Siliang Tang |
| 2025 | WWW | GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs. | Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang |
| 2024 | AAAI | Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance. | Dong Chen, Yueting Zhuang, Shuo Zhang, Jinfeng Liu, Su Dong, Siliang Tang |
| 2024 | ACL | T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text. | Aoxiong Yin, Haoyuan Li, Kai Shen, Siliang Tang, Yueting Zhuang |
| 2024 | CVPR | DIEM: Decomposition-Integration Enhancing Multimodal Insights. | Xinyi Jiang, Guoming Wang, Junhao Guo, Juncheng Li, Wenqiao Zhang, Rongxing Lu, Siliang Tang |
| 2024 | CVPR | HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data. | Qifan Yu, Juncheng Li, Longhui Wei, Liang Pang, Wentao Ye, Bosheng Qin, Siliang Tang, Qi Tian, Yueting Zhuang |
| 2024 | EMNLP | Bridging Local Details and Global Context in Text-Attributed Graphs. | Yaoke Wang, Yun Zhu, Wenqiao Zhang, Yueting Zhuang, Liyunfei, Siliang Tang |
| 2024 | ICASSP | Language Model is a Branch Predictor for Simultaneous Machine Translation. | Aoxiong Yin, Tianyun Zhong, Haoyuan Li, Siliang Tang, Zhou Zhao |
| 2024 | ICLR | Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions. | Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Hanwang Zhang, Yueting Zhuang |
| 2024 | ICML | NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models. | Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Eric Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiangyang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao |
| 2024 | ICML | Auto-Encoding Morph-Tokens for Multimodal LLM. | Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang |
| 2024 | ICML | Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning. | Long Qian, Juncheng Li, Yu Wu, Yaobo Ye, Hao Fei, Tat-Seng Chua, Yueting Zhuang, Siliang Tang |
| 2024 | IJCAI | Efficient Tuning and Inference for Large Language Models on Textual Graphs. | Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang |
| 2024 | WWW | MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning. | Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang |
| 2024 | WWW | GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning. | Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang |
| 2024 | SIGIR | I3: Intent-Introspective Retrieval Conditioned on Instructions. | Kaihang Pan, Juncheng Li, Wenjie Wang, Hao Fei, Hongye Song, Wei Ji, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang |
| 2023 | AAAI | KICE: A Knowledge Consolidation and Expansion Framework for Relation Extraction. | Yilin Lu, Xiaoqiang Wang, Haofeng Yang, Siliang Tang |
| 2023 | ACL | SkillQG: Learning to Generate Question for Reading Comprehension Assessment. | Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu |
| 2023 | ECAI | Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework. | Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang |
| 2023 | EMNLP | Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document. | Xiangnan Chen, Qian Xiao, Juncheng Li, Duo Dong, Jun Lin, Xiaozhong Liu, Siliang Tang |
| 2023 | EMNLP | Reasoning Makes Good Annotators : An Automatic Task-specific Rules Distilling Framework for Low-resource Relation Extraction. | Yilin Lu, Juncheng Li, Xiaoqiang Wang, Haochen Shi, Tao Chen, Siliang Tang |
| 2023 | EMNLP | Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization. | Kaihang Pan, Juncheng Li, Hongye Song, Jun Lin, Xiaozhong Liu, Siliang Tang |
| 2023 | ICCV | Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models. | Juncheng Li, Minghe Gao, Longhui Wei, Siliang Tang, Wenqiao Zhang, Mengze Li, Wei Ji, Qi Tian, Tat-Seng Chua, Yueting Zhuang |
| 2023 | ICCV | Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open World. | Qifan Yu, Juncheng Li, Yu Wu, Siliang Tang, Wei Ji, Yueting Zhuang |
| 2023 | ICCV | Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels. | Wenqiao Zhang, Changshuo Liu, Lingze Zeng, Beng Chin Ooi, Siliang Tang, Yueting Zhuang |
| 2023 | ICML | Continual Vision-Language Representation Learning with Off-Diagonal Information. | Zixuan Ni, Longhui Wei, Siliang Tang, Yueting Zhuang, Qi Tian |
| 2023 | IJCAI | SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference. | Boren Hu, Yun Zhu, Jiacheng Li, Siliang Tang |
| 2022 | AAAI | On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals. | Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang |
| 2022 | ACL | Feeding What You Need by Understanding What You Learned. | Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu |
| 2022 | CVPR | Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning. | Juncheng Li, Junlin Xie, Long Qian, Linchao Zhu, Siliang Tang, Fei Wu, Yi Yang, Yueting Zhuang, Xin Eric Wang |
| 2022 | CVPR | Learning to Learn by Jointly Optimizing Neural Architecture and Weights. | Yadong Ding, Yu Wu, Chengyue Huang, Siliang Tang, Yi Yang, Longhui Wei, Yueting Zhuang, Qi Tian |
| 2022 | EMNLP | Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning. | Wenbin An, Feng Tian, Ping Chen, Siliang Tang, Qinghua Zheng, Qianying Wang |
| 2022 | EMNLP | Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction. | Kai Shen, Yichong Leng, Xu Tan, Siliang Tang, Yuan Zhang, Wenjie Liu, Edward Lin |
| 2022 | EMNLP | QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance. | Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu |
| 2022 | ICML | Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile. | Dong Chen, Lingfei Wu, Siliang Tang, Xiao Yun, Bo Long, Yueting Zhuang |
| 2022 | IJCAI | RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning. | Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang |
| 2022 | KDD | Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning. | Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu |
| 2021 | AAAI | Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training. | Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao, Zhigang Chen, Yueting Zhuang |
| 2021 | AAAI | Disentangled Motif-aware Graph Learning for Phrase Grounding. | Zongshen Mu, Siliang Tang, Jie Tan, Qiang Yu, Yueting Zhuang |
| 2021 | AAAI | Consensus Graph Representation Learning for Better Grounded Image Captioning. | Wenqiao Zhang, Haochen Shi, Siliang Tang, Jun Xiao, Qiang Yu, Yueting Zhuang |
| 2021 | ACL | CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction. | Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang |
| 2021 | CVPR | Grounded, Controllable and Debiased Image Completion With Lexical Semantics. | Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Kun Kuang, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu |
| 2021 | ECIR | Clustering-Augmented Multi-instance Learning for Neural Relation Extraction. | Qi Zhang, Siliang Tang, Jinquan Sun, Yu Wang, Lei Zhang |
| 2021 | ICCV | Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels. | Jiannan Guo, Haochen Shi, Yangyang Kang, Kun Kuang, Siliang Tang, Zhuoren Jiang, Changlong Sun, Fei Wu, Yueting Zhuang |
| 2021 | ICCV | Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference. | Juncheng Li, Siliang Tang, Linchao Zhu, Haochen Shi, Xuanwen Huang, Fei Wu, Yi Yang, Yueting Zhuang |
| 2020 | AAAI | Rethinking the Bottom-Up Framework for Query-Based Video Localization. | Long Chen, Chujie Lu, Siliang Tang, Jun Xiao, Dong Zhang, Chilie Tan, Xiaolin Li |
| 2020 | ACL | Neural-DINF: A Neural Network based Framework for Measuring Document Influence. | Jie Tan, Changlin Yang, Ying Li, Siliang Tang, Chen Huang, Yueting Zhuang |
| 2020 | CVPR | Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. | Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang |
| 2020 | CVPR | NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. | Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar |
| 2020 | ECAI | Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. | Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren |
| 2020 | IJCAI | Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description. | Kai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao, Yueting Zhuang |
| 2020 | IJCAI | Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training. | Haochen Shi, Siliang Tang, Xiaotao Gu, Bo Chen, Zhigang Chen, Jian Shao, Xiang Ren |
| 2019 | AAAI | Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction. | Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren |
| 2019 | ACL | KCAT: A Knowledge-Constraint Typing Annotation Tool. | Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Zhigang Chen, Guoping Hu, Yueting Zhuang, Fei Wu, Xiang Ren |
| 2019 | CVPR | NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. | Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He |
| 2019 | CVPR | Orientation-Aware Deep Neural Network for Real Image Super-Resolution. | Du Chen, Zewei He, Anshun Sun, Jiangxin Yang, Yanlong Cao, Yanpeng Cao, Siliang Tang, Michael Ying Yang |
| 2019 | EMNLP | Learning Dynamic Context Augmentation for Global Entity Linking. | Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren |
| 2019 | NAACL | Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering. | Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Guoping Hu, Yueting Zhuang, Xiang Ren |
| 2019 | NAACL | Posterior-regularized REINFORCE for Instance Selection in Distant Supervision. | Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang |
| 2017 | EMNLP | NITE: A Neural Inductive Teaching Framework for Domain Specific NER. | Siliang Tang, Ning Zhang, Jinjian Zhang, Fei Wu, Yueting Zhuang |
| 2017 | SIGIR | ENCORE: External Neural Constraints Regularized Distant Supervision for Relation Extraction. | Siliang Tang, Jinjian Zhang, Ning Zhang, Fei Wu, Jun Xiao, Yueting Zhuang |
| 2015 | IJCAI | Sketch the Storyline with CHARCOAL: A Non-Parametric Approach. | Siliang Tang, Fei Wu, Si Li, Weiming Lu, Zhongfei Zhang, Yueting Zhuang |
| 2014 | SIGIR | Hashing with List-Wise learning to rank. | Zhou Yu, Fei Wu, Yin Zhang, Siliang Tang, Jian Shao, Yueting Zhuang |
| 2013 | AAAI | Supervised Nonnegative Tensor Factorization with Maximum-Margin Constraint. | Fei Wu, Xu Tan, Yi Yang, Dacheng Tao, Siliang Tang, Yueting Zhuang |
| 2013 | SIGIR | A low rank structural large margin method for cross-modal ranking. | Xinyan Lu, Fei Wu, Siliang Tang, Zhongfei Zhang, Xiaofei He, Yueting Zhuang |