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 | 117* | 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 arXiv preprint arXiv:2308.11131, 2023 | 20* | 2023 |
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 | 15 | 2022 |
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, 2021 | 9 | 2021 |
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 | 3 | 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 | 2 | 2023 |
CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation K Du, R Rui, H Chai, L Fu, W Xia, Y Wang, R Tang, Y Yu, W Zhang arXiv preprint arXiv:2405.02355, 2024 | | 2024 |