Ming Ding

According to our database, Ming Ding authored at least 48 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications.

Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

DreamPolish: Domain Score Distillation With Progressive Geometry Generation.

Yean Cheng, Ziqi Cai, Ming Ding, Wendi Zheng, Shiyu Huang, Yuxiao Dong, Jie Tang, Boxin Shi

CoRR, 2024

CogVLM2: Visual Language Models for Image and Video Understanding.

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

CoRR, 2024

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.

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

CoRR, 2024

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, Xiaotao Gu, Yuxuan Zhang, Weihan Wang, Yean Cheng, Ting Liu, Bin Xu, Yuxiao Dong, Jie Tang

CoRR, 2024

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

CoRR, 2024

LVBench: An Extreme Long Video Understanding Benchmark.

Weihan Wang, Zehai He, Wenyi Hong, Yean Cheng, Xiaohan Zhang, Ji Qi, Shiyu Huang, Bin Xu, Yuxiao Dong, Ming Ding, Jie Tang

CoRR, 2024

CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations.

Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Bin Xu, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang

CoRR, 2024

GPT understands, too.

Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang

AI Open, 2024

Relay Diffusion: Unifying diffusion process across resolutions for image synthesis.

Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation.

Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, Hongxia Yang

IEEE Trans. Knowl. Data Eng., June, 2023

MRT: Tracing the Evolution of Scientific Publications.

Da Yin, Weng Lam Tam, Ming Ding, Jie Tang

IEEE Trans. Knowl. Data Eng., 2023

CogAgent: A Visual Language Model for GUI Agents.

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

CoRR, 2023

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, Bin Xu, Juanzi Li, Yuxiao Dong, Ming Ding, Jie Tang

CoRR, 2023

GPT Can Solve Mathematical Problems Without a Calculator.

Zhen Yang, Ming Ding, Qingsong Lv, Zhihuan Jiang, Zehai He, Yuyi Guo, Jinfeng Bai, Jie Tang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, Jie Tang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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, Peng Zhang, Yuxiao Dong, Jie Tang

CoRR, 2022

STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation.

Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang, Jie Tang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers.

Ming Ding, Wendi Zheng, Wenyi Hong, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rethinking the Setting of Semi-supervised Learning on Graphs.

Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Parameter-Efficient Tuning Makes a Good Classification Head.

Zhuoyi Yang, Ming Ding, Yanhui Guo, Qingsong Lv, Jie Tang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

GLM: General Language Model Pretraining with Autoregressive Blank Infilling.

Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding.

Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang

CoRR, 2021

All NLP Tasks Are Generation Tasks: A General Pretraining Framework.

Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang

CoRR, 2021

M6: A Chinese Multimodal Pretrainer.

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

CoRR, 2021

WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models.

Sha Yuan, Hanyu Zhao, Zhengxiao Du, Ming Ding, Xiao Liu, Yukuo Cen, Xu Zou, Zhilin Yang, Jie Tang

AI Open, 2021

Adaptive Diffusion in Graph Neural Networks.

Jialin Zhao, Yuxiao Dong, Ming Ding, Evgeny Kharlamov, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis.

Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CogView: Mastering Text-to-Image Generation via Transformers.

Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021).

Ming Ding, Yuxiao Dong, Xiao Liu, Jiezhong Qiu, Jie Tang, Zhilin Yang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

CogLTX: Applying BERT to Long Texts.

Ming Ding, Chang Zhou, Hongxia Yang, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding Negative Sampling in Graph Representation Learning.

Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning.

Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang

CoRR, 2019

ProNE: Fast and Scalable Network Representation Learning.

Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards Knowledge-Based Recommender Dialog System.

Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Cognitive Graph for Multi-Hop Reading Comprehension at Scale.

Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Spectral Network Embedding: A Fast and Scalable Method via Sparsity.

Jie Zhang, Yan Wang, Jie Tang, Ming Ding

CoRR, 2018

Semi-supervised Learning on Graphs with Generative Adversarial Nets.

Ming Ding, Jie Tang, Jie Zhang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018