Dong, Yuxiao

39 publications

ICLR 2025 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
ICLR 2025 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
ICML 2025 Controlling Large Language Model with Latent Action Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou, Yuxiao Dong, Yang Yu
ICCV 2025 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
ICLR 2025 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
CVPR 2025 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
ICLR 2025 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
ICLR 2025 Scaling Speech-Text Pre-Training with Synthetic Interleaved Data Aohan Zeng, Zhengxiao Du, Mingdao Liu, Lei Zhang, Shengmin Jiang, Yuxiao Dong, Jie Tang
ICML 2025 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
ICCV 2025 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
ICLR 2025 VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents Xiao Liu, Tianjie Zhang, Yu Gu, Iat Long Iong, Song XiXuan, 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
ICLR 2025 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
ICLR 2024 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
CVPR 2024 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
NeurIPS 2024 CogVLM: Visual Expert for Pretrained Language Models Weihan Wang, Qingsong Lv, Wenmeng Yu, Wenyi Hong, Ji Qi, Yan Wang, Junhui Ji, Zhuoyi Yang, Lei Zhao, Xixuan Song, Jiazheng Xu, Keqin Chen, Bin Xu, Juanzi Li, Yuxiao Dong, Ming Ding, Jie Tang
ECCV 2024 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
ECCV 2024 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
ICMLW 2024 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
NeurIPS 2024 REST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search Dan Zhang, Sining Zhoubian, Ziniu Hu, Yisong Yue, Yuxiao Dong, Jie Tang
NeurIPS 2024 SciInstruct: A Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models Dan Zhang, Ziniu Hu, Sining Zhoubian, Zhengxiao Du, Kaiyu Yang, Zihan Wang, Yisong Yue, Yuxiao Dong, Jie Tang
AAAI 2024 TriSampler: A Better Negative Sampling Principle for Dense Retrieval Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang
NeurIPS 2024 Understanding Emergent Abilities of Language Models from the Loss Perspective Zhengxiao Du, Aohan Zeng, Yuxiao Dong, Jie Tang
ICLR 2023 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
NeurIPS 2023 ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong
ECML-PKDD 2023 Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang
NeurIPS 2021 Adaptive Diffusion in Graph Neural Networks Jialin Zhao, Yuxiao Dong, Ming Ding, Evgeny Kharlamov, Jie Tang
ECML-PKDD 2021 Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part IV Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano
ECML-PKDD 2021 Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part V Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano
NeurIPS 2020 Graph Random Neural Networks for Semi-Supervised Learning on Graphs Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang
IJCAI 2020 Heterogeneous Network Representation Learning Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang
ECML-PKDD 2020 Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part V Yuxiao Dong, Georgiana Ifrim, Dunja Mladenic, Craig Saunders, Sofie Van Hoecke
ECML-PKDD 2020 Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part IV Yuxiao Dong, Dunja Mladenic, Craig Saunders
NeurIPS 2020 Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec
IJCAI 2019 ProNE: Fast and Scalable Network Representation Learning Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding
ECML-PKDD 2017 UAPD: Predicting Urban Anomalies from Spatial-Temporal Data Xian Wu, Yuxiao Dong, Chao Huang, Jian Xu, Dong Wang, Nitesh V. Chawla
ECML-PKDD 2015 Inferring Unusual Crowd Events from Mobile Phone Call Detail Records Yuxiao Dong, Fabio Pinelli, Yiannis Gkoufas, Zubair Nabi, Francesco Calabrese, Nitesh V. Chawla
ECML-PKDD 2015 The Evolution of Social Relationships and Strategies Across the Lifespan Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang
ECML-PKDD 2015 Will This Paper Increase Your H-Index? Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla
ECML-PKDD 2013 How Long Will She Call Me? Distribution, Social Theory and Duration Prediction Yuxiao Dong, Jie Tang, Tiancheng Lou, Bin Wu, Nitesh V. Chawla