| An efficient neighborhood-based interaction model for recommendation on heterogeneous graph J Jin, J Qin, Y Fang, K Du, W Zhang, Y Yu, Z Zhang, AJ Smola Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 134* | 2020 |
| Rella: Retrieval-enhanced large language models for lifelong sequential behavior comprehension in recommendation J Lin, R Shan, C Zhu, K Du, B Chen, S Quan, R Tang, Y Yu, W Zhang Proceedings of the ACM Web Conference 2024, 3497-3508, 2024 | 81* | 2024 |
| Learning enhanced representation for tabular data via neighborhood propagation K Du, W Zhang, R Zhou, Y Wang, X Zhao, J Jin, Q Gan, Z Zhang, DP Wipf Advances in neural information processing systems 35, 16373-16384, 2022 | 30 | 2022 |
| Codeapex: A bilingual programming evaluation benchmark for large language models L Fu, H Chai, S Luo, K Du, W Zhang, L Fan, J Lei, R Rui, J Lin, Y Fang, ... arXiv preprint arXiv:2309.01940, 2023 | 11* | 2023 |
| Inductive relation prediction using analogy subgraph embeddings J Jin, Y Wang, K Du, W Zhang, Z Zhang, D Wipf, Y Yu, Q Gan International Conference on Learning Representations, 2022 | 9* | 2022 |
| DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation K Du, J Chen, J Lin, Y Xi, H Wang, X Dai, B Chen, R Tang, W Zhang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 8* | 2024 |
| Agentic information retrieval W Zhang, J Liao, N Li, K Du arXiv preprint arXiv:2410.09713, 2024 | 6 | 2024 |
| GraphHINGE: Learning interaction models of structured neighborhood on heterogeneous information network J Jin, K Du, W Zhang, J Qin, Y Fang, Y Yu, Z Zhang, AJ Smola ACM Transactions on Information Systems (TOIS) 40 (3), 1-35, 2022 | 6* | 2022 |
| CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation K Du, J Chen, R Rui, H Chai, L Fu, W Xia, Y Wang, R Tang, Y Yu, ... arXiv preprint arXiv:2405.02355, 2024 | 3* | 2024 |
| Sinkt: A structure-aware inductive knowledge tracing model with large language model L Fu, H Guan, K Du, J Lin, W Xia, W Zhang, R Tang, Y Wang, Y Yu Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 2 | 2024 |
| RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation Q Li, W Xia, K Du, X Dai, R Tang, Y Wang, Y Yu, W Zhang arXiv preprint arXiv:2409.09584, 2024 | 2 | 2024 |
| ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation J Chen*, K Du*, J Lin, B Chen, R Tang, W Zhang Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 1 | 2024 |
| Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning J Zhu, C Zheng, J Lin, K Du, Y Wen, Y Yu, J Wang, W Zhang arXiv preprint arXiv:2502.14361, 2025 | | 2025 |
| Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation K Du, H Wang, J Liu, J Chen, X Dai, Y Wang, R Tang, Y Yu, J Wang, ... arXiv preprint arXiv:2502.12492, 2025 | | 2025 |
| Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation Q Li, W Xia, K Du, Q Zhang, W Zhang, R Tang, Y Yu arXiv preprint arXiv:2405.12442, 2024 | | 2024 |
| FINED: Feed Instance-Wise Information Need with Essential and Disentangled Parametric Knowledge from the Past K Du, J Chen, J Lin, M Zhu, B Chen, S Li, Y Yu, W Zhang arXiv preprint arXiv:2406.00012, 2024 | | 2024 |
Weinan ZhangProfessor, Shanghai Jiao Tong UniversityAdresă de e-mail confirmată pe sjtu.edu.cn
