| 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 | 30 | 2020 |
| 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 | 10 | 2023 |
| Osldetector: Identifying open-source libraries through binary analysis D Zhang, P Luo, W Tang, M Zhou ASE 2020, 1312-1315, 2020 | 8 | 2020 |
| 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 | 7 | 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 | 4 | 2023 |
| 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, ... arXiv preprint arXiv:2401.07950, 2024 | 3 | 2024 |
| Detecting Social Bot on the Fly using Contrastive Learning M Zhou, D Zhang, Y Wang, YA Geng, J Tang CIKM 2023, 4995-5001, 2023 | 2 | 2023 |
| AutoRE: Document-Level Relation Extraction with Large Language Models X Lilong, Z Dan, D Yuxiao, T Jie arXiv preprint arXiv:2403.14888, 2024 | | 2024 |
| 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, ... arXiv preprint arXiv:2402.15810, 2024 | | 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 | | 2024 |
| 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 | | 2023 |
Tang JieProfessor, Tsinghua UniversityПотвърден имейл адрес: tsinghua.edu.cn
