Підписатись
Ming Ding
Ming Ding
Tsinghua University
Підтверджена електронна адреса в mails.tsinghua.edu.cn
Назва
Посилання
Посилання
Рік
GPT understands, too
X Liu, Y Zheng, Z Du, M Ding, Y Qian, Z Yang, J Tang
AI Open 5, 208-215, 2024
1675*2024
All nlp tasks are generation tasks: A general pretraining framework
Z Du, Y Qian, X Liu, M Ding, J Qiu, Z Yang, J Tang
ACL 2022, 2021
1568*2021
Glm-130b: An open bilingual pre-trained model
A Zeng, X Liu, Z Du, Z Wang, H Lai, M Ding, Z Yang, Y Xu, W Zheng, X Xia, ...
ICLR 2023, 2022
1109*2022
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J Qiu, Q Chen, Y Dong, J Zhang, H Yang, M Ding, K Wang, J Tang
KDD 2020, 2020
10342020
CogView: Mastering Text-to-Image Generation via Transformers
M Ding, Z Yang, W Hong, W Zheng, C Zhou, D Yin, J Lin, X Zou, Z Shao, ...
NeurIPS 2021, 2021
8032021
Cogvlm: Visual expert for pretrained language models
W Wang, Q Lv, W Yu, W Hong, J Qi, Y Wang, J Ji, Z Yang, L Zhao, X Song, ...
NeurIPS 2024, 2023
5892023
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
W Hong*, M Ding*, W Zheng, X Liu, J Tang
ICLR 2023, 2022
5012022
Imagereward: Learning and evaluating human preferences for text-to-image generation
J Xu, X Liu, Y Wu, Y Tong, Q Li, M Ding, J Tang, Y Dong
NeurIPS 2023, 2023
4132023
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks
Q Lv*, M Ding*, Q Liu, Y Chen, W Feng, S He, C Zhou, J Jiang, Y Dong, ...
KDD 2021, 2021
3412021
CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers
M Ding, W Zheng, W Hong, J Tang
NeurIPS 2022, 2022
3242022
Cognitive graph for multi-hop reading comprehension at scale
M Ding, C Zhou, Q Chen, H Yang, J Tang
ACL 2019, 2019
3012019
Towards Knowledge-Based Recommender Dialog System
Q Chen, J Lin, Y Zhang, M Ding, Y Cen, H Yang, J Tang
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
2872019
Cogagent: A visual language model for gui agents
W Hong, W Wang, Q Lv, J Xu, W Yu, J Ji, Y Wang, Z Wang, Y Dong, ...
CVPR 2024, 2023
2672023
ProNE: Fast and Scalable Network Representation Learning
J Zhang, Y Dong, Y Wang, J Tang, M Ding
Proceedings of the 28th International Joint Conference on Artificial …, 2019
2252019
Understanding Negative Sampling in Graph Representation Learning
Z Yang*, M Ding*, C Zhou, H Yang, J Zhou, J Tang
KDD 2020, 2020
2182020
Cogvideox: Text-to-video diffusion models with an expert transformer
Z Yang, J Teng, W Zheng, M Ding, S Huang, J Xu, Y Yang, W Hong, ...
arXiv preprint arXiv:2408.06072, 2024
2152024
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems
T Huang, Y Dong, M Ding, Z Yang, W Feng, X Wang, J Tang
KDD 2021, 2021
2102021
CogLTX: Applying BERT to Long Texts
M Ding, C Zhou, H Yang, J Tang
NeurIPS 2020, 2020
1802020
M6: A chinese multimodal pretrainer
J Lin, R Men, A Yang, C Zhou, M Ding, Y Zhang, P Wang, A Wang, ...
arXiv preprint arXiv:2103.00823, 2021
1462021
Semi-supervised learning on graphs with generative adversarial nets
M Ding, J Tang, J Zhang
Proceedings of the 27th ACM international conference on information and …, 2018
1282018
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