Ming Ding

74 papers A* 25A 1Journal 41Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation.
AAAI
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
2025 — conf
AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models.
ACL (1)
Yuhang Wu, Wenmeng Yu, Yean Cheng, Yan Wang, Xiaohan Zhang, Jiazheng Xu, Ming Ding, Yuxiao Dong
2025 A* conf
CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning.
ICLR
Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Bin Xu, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang
2025 A* conf
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
ICLR
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 A* conf
VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.
ICLR
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
2024 J jnl
AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models.
CoRR
Yuhang Wu, Wenmeng Yu, Yean Cheng, Yan Wang, Xiaohan Zhang, Jiazheng Xu, Ming Ding, Yuxiao Dong
2024 A* conf
CogAgent: A Visual Language Model for GUI Agents.
CVPR
Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxiao Dong, Ming Ding, Jie Tang
2024 J jnl
CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations.
CoRR
Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Bin Xu, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang
2024 J jnl
CogVLM2: Visual Language Models for Image and Video Understanding.
CoRR
Wenyi Hong, Weihan Wang, Ming Ding, Wenmeng Yu, Qingsong Lv, Yan Wang, Yean Cheng, Shiyu Huang, Junhui Ji, Zhao Xue, Lei Zhao, Zhuoyi Yang, Xiaotao Gu, Xiaohan Zhang, Guanyu Feng, Da Yin, Zihan Wang, Ji Qi, Xixuan Song, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Yuxiao Dong, Jie Tang
2024 A* conf
CogVLM: Visual Expert for Pretrained Language Models.
NeurIPS
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
2024 J jnl
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
CoRR
Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, Da Yin, Xiaotao Gu, Yuxuan Zhang, Weihan Wang, Yean Cheng, Ting Liu, Bin Xu, Yuxiao Dong, Jie Tang
2024 — conf
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion.
ECCV (77)
Wendi Zheng, Jiayan Teng, Zhuoyi Yang, Weihan Wang, Jidong Chen, Xiaotao Gu, Yuxiao Dong, Ming Ding, Jie Tang
2024 J jnl
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion.
CoRR
Wendi Zheng, Jiayan Teng, Zhuoyi Yang, Weihan Wang, Jidong Chen, Xiaotao Gu, Yuxiao Dong, Ming Ding, Jie Tang
2024 J jnl
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications.
CoRR
Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang
2024 J jnl
Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang
2024 J jnl
DreamPolish: Domain Score Distillation With Progressive Geometry Generation.
CoRR
Yean Cheng, Ziqi Cai, Ming Ding, Wendi Zheng, Shiyu Huang, Yuxiao Dong, Jie Tang, Boxin Shi
2024 J jnl
GPT understands, too.
AI Open
Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang
2024 — conf
Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer.
ECCV (83)
Zhuoyi Yang, Heyang Jiang, Wenyi Hong, Jiayan Teng, Wendi Zheng, Yuxiao Dong, Ming Ding, Jie Tang
2024 J jnl
Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer.
CoRR
Zhuoyi Yang, Heyang Jiang, Wenyi Hong, Jiayan Teng, Wendi Zheng, Yuxiao Dong, Ming Ding, Jie Tang
2024 J jnl
LVBench: An Extreme Long Video Understanding Benchmark.
CoRR
Weihan Wang, Zehai He, Wenyi Hong, Yean Cheng, Xiaohan Zhang, Ji Qi, Shiyu Huang, Bin Xu, Yuxiao Dong, Ming Ding, Jie Tang
2024 A* conf
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis.
ICLR
Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang
2024 J jnl
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation.
CoRR
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, Ming Ding, Xiaohan Zhang, Xiaotao Gu, Shiyu Huang, Minlie Huang, Jie Tang, Yuxiao Dong
2024 J jnl
VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.
CoRR
Xiao Liu, Tianjie Zhang, Yu Gu, Iat Long Iong, Yifan Xu, Xixuan Song, Shudan Zhang, Hanyu Lai, Xinyi Liu, Hanlin Zhao, 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
2023 A* conf
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs.
KDD
Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang
2023 J jnl
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs.
CoRR
Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang
2023 J jnl
CogAgent: A Visual Language Model for GUI Agents.
CoRR
Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxuan Zhang, Juanzi Li, Bin Xu, Yuxiao Dong, Ming Ding, Jie Tang
2023 J jnl
CogVLM: Visual Expert for Pretrained Language Models.
CoRR
Weihan Wang, Qingsong Lv, Wenmeng Yu, Wenyi Hong, Ji Qi, Yan Wang, Junhui Ji, Zhuoyi Yang, Lei Zhao, Xixuan Song, Jiazheng Xu, Bin Xu, Juanzi Li, Yuxiao Dong, Ming Ding, Jie Tang
2023 A* conf
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.
ICLR
Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, Jie Tang
2023 A* conf
GLM-130B: An Open Bilingual Pre-trained Model.
ICLR
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 J jnl
GPT Can Solve Mathematical Problems Without a Calculator.
CoRR
Zhen Yang, Ming Ding, Qingsong Lv, Zhihuan Jiang, Zehai He, Yuyi Guo, Jinfeng Bai, Jie Tang
2023 A* conf
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation.
NeurIPS
Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong
2023 J jnl
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation.
CoRR
Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong
2023 J jnl
MRT: Tracing the Evolution of Scientific Publications.
IEEE Trans. Knowl. Data Eng.
Da Yin, Weng Lam Tam, Ming Ding, Jie Tang
2023 J jnl
Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation.
IEEE Trans. Knowl. Data Eng.
Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, Hongxia Yang
2023 J jnl
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis.
CoRR
Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang
2022 J jnl
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.
CoRR
Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, Jie Tang
2022 A* conf
CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers.
NeurIPS
Ming Ding, Wendi Zheng, Wenyi Hong, Jie Tang
2022 J jnl
CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers.
CoRR
Ming Ding, Wendi Zheng, Wenyi Hong, Jie Tang
2022 — conf
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding.
ACL (1)
Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Chonghua Liao, Li Jian, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang
2022 J jnl
GLM-130B: An Open Bilingual Pre-trained Model.
CoRR
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, Peng Zhang, Yuxiao Dong, Jie Tang
2022 — conf
GLM: General Language Model Pretraining with Autoregressive Blank Infilling.
ACL (1)
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang
2022 A* conf
Parameter-Efficient Tuning Makes a Good Classification Head.
EMNLP
Zhuoyi Yang, Ming Ding, Yanhui Guo, Qingsong Lv, Jie Tang
2022 J jnl
Parameter-Efficient Tuning Makes a Good Classification Head.
CoRR
Zhuoyi Yang, Ming Ding, Yanhui Guo, Qingsong Lv, Jie Tang
2022 A* conf
Rethinking the Setting of Semi-supervised Learning on Graphs.
IJCAI
Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang
2022 J jnl
Rethinking the Setting of Semi-supervised Learning on Graphs.
CoRR
Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang
2022 A* conf
STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation.
WWW
Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang, Jie Tang
2021 A* conf
Adaptive Diffusion in Graph Neural Networks.
NeurIPS
Jialin Zhao, Yuxiao Dong, Ming Ding, Evgeny Kharlamov, Jie Tang
2021 J jnl
All NLP Tasks Are Generation Tasks: A General Pretraining Framework.
CoRR
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang
2021 J jnl
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks.
CoRR
Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang
2021 A* conf
Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks.
KDD
Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang
2021 A* conf
CogView: Mastering Text-to-Image Generation via Transformers.
NeurIPS
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang
2021 J jnl
CogView: Mastering Text-to-Image Generation via Transformers.
CoRR
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang
2021 J jnl
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding.
CoRR
Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang
2021 J jnl
GPT Understands, Too.
CoRR
Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang
2021 J jnl
M6: A Chinese Multimodal Pretrainer.
CoRR
Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang
2021 A* conf
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems.
KDD
Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang
2021 A* conf
The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021).
KDD
Ming Ding, Yuxiao Dong, Xiao Liu, Jiezhong Qiu, Jie Tang, Zhilin Yang
2021 A* conf
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis.
NeurIPS
Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang
2021 J jnl
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis.
CoRR
Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang
2021 J jnl
WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models.
AI Open
Sha Yuan, Hanyu Zhao, Zhengxiao Du, Ming Ding, Xiao Liu, Yukuo Cen, Xu Zou, Zhilin Yang, Jie Tang
2020 A* conf
CogLTX: Applying BERT to Long Texts.
NeurIPS
Ming Ding, Chang Zhou, Hongxia Yang, Jie Tang
2020 A* conf
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training.
KDD
Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang
2020 J jnl
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training.
CoRR
Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang
2020 A* conf
Understanding Negative Sampling in Graph Representation Learning.
KDD
Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang
2020 J jnl
Understanding Negative Sampling in Graph Representation Learning.
CoRR
Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang
2019 — conf
Cognitive Graph for Multi-Hop Reading Comprehension at Scale.
ACL (1)
Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang
2019 J jnl
Cognitive Graph for Multi-Hop Reading Comprehension at Scale.
CoRR
Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang
2019 J jnl
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning.
CoRR
Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang
2019 A* conf
ProNE: Fast and Scalable Network Representation Learning.
IJCAI
Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding
2019 — conf
Towards Knowledge-Based Recommender Dialog System.
EMNLP/IJCNLP (1)
Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang
2019 J jnl
Towards Knowledge-Based Recommender Dialog System.
CoRR
Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang
2018 A conf
Semi-supervised Learning on Graphs with Generative Adversarial Nets.
CIKM
Ming Ding, Jie Tang, Jie Zhang
2018 J jnl
Semi-supervised Learning on Graphs with Generative Adversarial Nets.
CoRR
Ming Ding, Jie Tang, Jie Zhang
2018 J jnl
Spectral Network Embedding: A Fast and Scalable Method via Sparsity.
CoRR
Jie Zhang, Yan Wang, Jie Tang, Ming Ding