Ming Ding
제목
인용
인용
연도
Cognitive graph for multi-hop reading comprehension at scale
M Ding, C Zhou, Q Chen, H Yang, J Tang
ACL 2019, 2019
1092019
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
1022020
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
632018
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
522019
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
472019
GPT Understands, Too
X Liu, Y Zheng, Z Du, M Ding, Y Qian, Z Yang, J Tang
arXiv preprint arXiv:2103.10385, 2021
30*2021
Understanding Negative Sampling in Graph Representation Learning
Z Yang*, M Ding*, C Zhou, H Yang, J Zhou, J Tang
KDD 2020, 2020
222020
CogLTX: Applying BERT to Long Texts
M Ding, C Zhou, H Yang, J Tang
NeurIPS 2020, 2020
142020
Cognitive knowledge graph reasoning for one-shot relational learning
Z Du, C Zhou, M Ding, H Yang, J Tang
arXiv preprint arXiv:1906.05489, 2019
102019
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
82021
All NLP Tasks Are Generation Tasks: A General Pretraining Framework
Z Du, Y Qian, X Liu, M Ding, J Qiu, Z Yang, J Tang
arXiv preprint arXiv:2103.10360, 2021
72021
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, ...
arXiv preprint arXiv:2105.13290, 2021
52021
WuDaoCorpora: A Super Large-scale Chinese Corpora for Pre-training Language Models
S Yuan, H Zhao, Z Du, M Ding, X Liu, Y Cen, X Zou, Z Yang, J Tang
AI Open, 2021
12021
Controllable Generation from Pre-trained Language Models via Inverse Prompting
X Zou, D Yin, Q Zhong, M Ding, Z Yang, J Tang
arXiv preprint arXiv:2103.10685, 2021
12021
The International Workshop on Pretraining: Algorithms, Architectures, and Applications (Pretrain@ KDD 2021)
M Ding, Y Dong, X Liu, J Qiu, J Tang, Z Yang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
2021
MRT: Tracing the Evolution of Scientific Publications
D Yin, WL Tam, M Ding, J Tang
IEEE Transactions on Knowledge and Data Engineering, 2021
2021
M6-UFC: Unifying Multi-Modal Controls for Conditional Image Synthesis
Z Zhang, J Ma, C Zhou, R Men, Z Li, M Ding, J Tang, J Zhou, H Yang
arXiv preprint arXiv:2105.14211, 2021
2021
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis
Z Zhang, J Ma, C Zhou, R Men, Z Li, M Ding, J Tang, J Zhou, H Yang
arXiv preprint arXiv:2105.14211, 2021
2021
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
2021
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
2021
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학술자료 1–20