Yuxiao Dong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
106
Venues
20
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
106 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | 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 |
| 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 | SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling. | Haoran Wang, Zhenyu Hou, Yao Wei, Jie Tang, Yuxiao Dong |
| 2025 | ACL | AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models. | Yuhang Wu, Wenmeng Yu, Yean Cheng, Yan Wang, Xiaohan Zhang, Jiazheng Xu, Ming Ding, Yuxiao Dong |
| 2025 | ACL | SceneGenAgent: Precise Industrial Scene Generation with Coding Agent. | Xiao Xia, Dan Zhang, Zibo Liao, Zhenyu Hou, Tianrui Sun, Jing Li, Ling Fu, Yuxiao Dong |
| 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 | LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-Context QA. | Jiajie Zhang, Yushi Bai, Xin Lv, Wanjun Gu, Danqing Liu, Minhao Zou, Shulin Cao, Lei Hou, Yuxiao Dong, Ling Feng, Juanzi Li |
| 2025 | ACL | LongReward: Improving Long-context Large Language Models with AI Feedback. | Jiajie Zhang, Zhongni Hou, Xin Lv, Shulin Cao, Zhenyu Hou, Yilin Niu, Lei Hou, Yuxiao Dong, Ling Feng, Juanzi Li |
| 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 | 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 | 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 | 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 | 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 | Controlling Large Language Model with Latent Action. | Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou, Yuxiao Dong, Yang Yu |
| 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 | 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 | 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 | ICDE | Open-World Semi-Supervised Learning for Node Classification. | Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin |
| 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 | KDD | Generative AI Day. | Jie Tang, Yuxiao Dong, Michalis Vazirgiannis |
| 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 | 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 | 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 |
| 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 | 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 | KDD | The 3rd Workshop on Graph Learning Benchmarks (GLB 2023). | Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik |
| 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 | 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 | 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 | 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 | WSDM | International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning. | Qing Li, Xiao Huang, Ninghao Liu, Yuxiao Dong, Guansong Pang |
| 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 | NAACL | IDPG: An Instance-Dependent Prompt Generation Method. | Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma |
| 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 | ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs. | Yanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li, Hong Chen |
| 2022 | WSDM | EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs. | Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong |
| 2021 | EMNLP | P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion. | Jingwen Xu, Jing Zhang, Xirui Ke, Yuxiao Dong, Hong Chen, Cuiping Li, Yongbin Liu |
| 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 | 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 | TDGIA: Effective Injection Attacks on Graph Neural Networks. | Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang |
| 2021 | WWW | MATCH: Metadata-Aware Text Classification in A Large Hierarchy. | Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han |
| 2020 | IJCAI | Heterogeneous Network Representation Learning. | Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang |
| 2020 | KDD | GPT-GNN: Generative Pre-Training of Graph Neural Networks. | Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun |
| 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 | WWW | Heterogeneous Graph Transformer. | Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun |
| 2019 | IJCAI | ProNE: Fast and Scalable Network Representation Learning. | Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding |
| 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 | WWW | Representation Learning on Networks: Theories, Algorithms, and Applications. | Jie Tang, Yuxiao Dong |
| 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 |
| 2019 | WSDM | Neural Tensor Factorization for Temporal Interaction Learning. | Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla |
| 2018 | CIKM | RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data. | Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Louis Faust, Nitesh V. Chawla |
| 2018 | KDD | DeepInf: Social Influence Prediction with Deep Learning. | Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang |
| 2018 | WWW | BigNet 2018 Chairs' Welcome & Organization. | Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D. Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger |
| 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 |
| 2018 | SDM | Who will Attend This Event Together? Event Attendance Prediction via Deep LSTM Networks. | Xian Wu, Yuxiao Dong, Baoxu Shi, Ananthram Swami, Nitesh V. Chawla |
| 2017 | KDD | metapath2vec: Scalable Representation Learning for Heterogeneous Networks. | Yuxiao Dong, Nitesh V. Chawla, Ananthram Swami |
| 2017 | KDD | Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks. | Yuxiao Dong, Reid A. Johnson, Jian Xu, Nitesh V. Chawla |
| 2017 | KDD | A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations. | Yuxiao Dong, Hao Ma, Zhihong Shen, Kuansan Wang |
| 2016 | WSDM | User Modeling in Large Social Networks. | Yuxiao Dong |
| 2015 | KDD | CoupledLP: Link Prediction in Coupled Networks. | Yuxiao Dong, Jing Zhang, Jie Tang, Nitesh V. Chawla, Bai Wang |
| 2015 | WSDM | Will This Paper Increase Your | Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla |
| 2014 | KDD | Inferring user demographics and social strategies in mobile social networks. | Yuxiao Dong, Yang Yang, Jie Tang, Yang Yang, Nitesh V. Chawla |
| 2012 | ICDM | Link Prediction and Recommendation across Heterogeneous Social Networks. | Yuxiao Dong, Jie Tang, Sen Wu, Jilei Tian, Nitesh V. Chawla, Jinghai Rao, Huanhuan Cao |
| 2011 | ADMA | A Novel Genetic Algorithm for Overlapping Community Detection. | Yanan Cai, Chuan Shi, Yuxiao Dong, Qing Ke, Bin Wu |
| 2011 | CLOSER | Saurida: Cloud Computing based - Data Mining System in Telecommunication Industry. | Qing Ke, Bin Wu, Yuxiao Dong, Lei Qin |
| 2011 | CLOSER | KANGAROO: A Distributed System for SNA - Social Network Analysis in Huge-scale Networks. | Bin Wu, Yuxiao Dong, Lei Qin, Qing Ke, Bai Wang |
| 2011 | ICDM | Random Walk Based Resource Allocation: Predicting and Recommending Links in Cross-Operator Mobile Communication Networks. | Yuxiao Dong, Qing Ke, Jun Rao, Bai Wang, Bin Wu |
| 2011 | ICNC | A parallel computing model for large-graph mining with MapReduce. | Bin Wu, Yuxiao Dong, Qing Ke, Yanan Cai |