| Understanding negative sampling in graph representation learning Z Yang, M Ding, C Zhou, H Yang, J Zhou, J Tang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 207 | 2020 |
| 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 Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 198 | 2021 |
| Chatglm: A family of large language models from glm-130b to glm-4 all tools T GLM, A Zeng, B Xu, B Wang, C Zhang, D Yin, D Zhang, D Rojas, G Feng, ... arXiv preprint arXiv:2406.12793, 2024 | 176* | 2024 |
| Stam: A spatiotemporal aggregation method for graph neural network-based recommendation Z Yang, M Ding, B Xu, H Yang, J Tang Proceedings of the ACM Web Conference 2022, 3217-3228, 2022 | 45 | 2022 |
| Gpt can solve mathematical problems without a calculator Z Yang, M Ding, Q Lv, Z Jiang, Z He, Y Guo, J Bai, J Tang arXiv preprint arXiv:2309.03241, 2023 | 33 | 2023 |
| Region or global? a principle for negative sampling in graph-based recommendation Z Yang, M Ding, X Zou, J Tang, B Xu, C Zhou, H Yang IEEE Transactions on Knowledge and Data Engineering 35 (6), 6264-6277, 2022 | 32 | 2022 |
| Does Negative Sampling Matter? A Review with Insights into its Theory and Applications Z Yang, M Ding, T Huang, Y Cen, J Song, B Xu, Y Dong, J Tang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 8 | 2024 |
| ViLTA: Enhancing vision-language pre-training through textual augmentation W Wang, Z Yang, B Xu, J Li, Y Sun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
| Batchsampler: Sampling mini-batches for contrastive learning in vision, language, and graphs Z Yang, T Huang, M Ding, Y Dong, R Ying, Y Cen, Y Geng, J Tang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 7 | 2023 |
| TriSampler: A Better Negative Sampling Principle for Dense Retrieval Z Yang, Z Shao, Y Dong, J Tang Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9269-9277, 2024 | 2 | 2024 |
| VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning Z Jiang, Z Yang, J Chen, Z Du, W Wang, B Xu, Y Dong, J Tang arXiv preprint arXiv:2409.13730, 2024 | | 2024 |
| MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model Z Yang, J Chen, Z Du, W Yu, W Wang, W Hong, Z Jiang, B Xu, Y Dong, ... arXiv preprint arXiv:2409.13729, 2024 | | 2024 |
