| 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 | 345* | 2024 |
| ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search D Zhang, S Zhoubian, Y Yue, Y Dong, J Tang NeurIPS 2024, 2024 | 59* | 2024 |
| WinGNN: dynamic graph neural networks with random gradient aggregation window Y Zhu, F Cong, D Zhang, W Gong, Q Lin, W Feng, Y Dong, J Tang KDD 2023, 3650-3662, 2023 | 44 | 2023 |
| Libdx: A cross-platform and accurate system to detect third-party libraries in binary code W Tang, P Luo, J Fu, D Zhang SANER 2020, 104-115, 2020 | 36 | 2020 |
| Oag-bench: a human-curated benchmark for academic graph mining F Zhang, S Shi, Y Zhu, B Chen, Y Cen, J Yu, Y Chen, L Wang, Q Zhao, ... KDD 2024, 6214-6225, 2024 | 30 | 2024 |
| Sciglm: Training scientific language models with self-reflective instruction annotation and tuning D Zhang, Z Hu, S Zhoubian, Z Du, K Yang, Z Wang, Y Yue, Y Dong, ... NeurIPS D&B Track 2024, 2024 | 30* | 2024 |
| ApeGNN: node-wise adaptive aggregation in GNNs for recommendation D Zhang, Y Zhu, Y Dong, Y Wang, W Feng, E Kharlamov, J Tang WWW 2023, 759-769, 2023 | 23 | 2023 |
| AutoRE: Document-Level Relation Extraction with Large Language Models L Xue, D Zhang, Y Dong, J Tang ACL SDT, 211-220, 2024 | 15 | 2024 |
| RecDCL: Dual Contrastive Learning for Recommendation D Zhang, Y Geng, W Gong, Z Qi, Z Chen, X Tang, Y Shan, Y Dong, J Tang WWW 2024 (Oral), 2024 | 12 | 2024 |
| Osldetector: Identifying open-source libraries through binary analysis D Zhang, P Luo, W Tang, M Zhou ASE 2020, 1312-1315, 2020 | 12 | 2020 |
| Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks M Zhou, W Feng, Y Zhu, D Zhang, Y Dong, J Tang ECML-PKDD 2023 (Best Student Paper), 207-224, 2023 | 11 | 2023 |
| Detecting Social Bot on the Fly using Contrastive Learning M Zhou, D Zhang, Y Wang, YA Geng, J Tang CIKM 2023, 4995-5001, 2023 | 10 | 2023 |
| Dropconn: Dropout connection based random gnns for molecular property prediction D Zhang, W Feng, Y Wang, Z Qi, Y Shan, J Tang TKDE 2024, 2023 | 10 | 2023 |
| Androidlab: Training and systematic benchmarking of android autonomous agents Y Xu, X Liu, X Sun, S Cheng, H Yu, H Lai, S Zhang, D Zhang, J Tang, ... arXiv preprint arXiv:2410.24024, 2024 | 3 | 2024 |
| LGB: Language Model and Graph Neural Network-Driven Social Bot Detection M Zhou, D Zhang, Y Wang, Y Geng, Y Dong, J Tang arXiv preprint arXiv:2406.08762, 2024 | 3 | 2024 |
| MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations D Zhang, S Zheng, Y Zhu, H Yuan, J Gong, J Tang ACM Transactions on Information Systems 43 (2), 1-29, 2025 | 1 | 2025 |
| SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models J Cheng, X Liu, C Wang, X Gu, Y Lu, D Zhang, Y Dong, J Tang, H Wang, ... arXiv preprint arXiv:2412.11605, 2024 | 1 | 2024 |
| Scenegenagent: Precise industrial scene generation with coding agent X Xia, D Zhang, Z Liao, Z Hou, T Sun, J Li, L Fu, Y Dong arXiv preprint arXiv:2410.21909, 2024 | 1 | 2024 |
| Battleagentbench: A benchmark for evaluating cooperation and competition capabilities of language models in multi-agent systems W Wang, D Zhang, T Feng, B Wang, J Tang arXiv preprint arXiv:2408.15971, 2024 | 1 | 2024 |
| Parameter-Efficient Fine-Tuning for Foundation Models D Zhang, T Feng, L Xue, Y Wang, Y Dong, J Tang arXiv preprint arXiv:2501.13787, 2025 | | 2025 |
Tang JieWeBank Chair Professor, Tsinghua University確認したメール アドレス: tsinghua.edu.cn