| User Behavior Retrieval for Click-through Rate Prediction J Qin, W Zhang, X Wu, J Jin, Y Fang, Y Yu SIGIR 2020, 2347-2356, 2020 | 141 | 2020 |
| 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 KDD 2020, 75-84, 2020 | 134* | 2020 |
| CoRide: Joint Order Dispatching and Fleet Management for Multi-scale Ride-hailing Platforms J Jin, M Zhou, W Zhang, M Li, Z Guo, Z Qin, Y Jiao, X Tang, C Wang, ... CIKM 2019, 1983-1992, 2019 | 129 | 2019 |
| Multi-agent Reinforcement Learning for Order Dispatching via Order Vehicle Distribution Matching M Zhou, J Jin, W Zhang, Z Qin, Y Jiao, C Wang, G Wu, Y Yu, J Ye CIKM 2019, 2645-2653, 2019 | 117 | 2019 |
| Bag of Tricks for Node Classification with Graph Neural Networks Y Wang, J Jin, W Zhang, Y Yu, Z Zhang, D Wipf DLG-KDD 2021 (Best Paper), arXiv: 2103.13355, 2021 | 82 | 2021 |
| Learning Enhanced Representations for Tabular Data via Neighborhood Propagation K Du, W Zhang, R Zhou, Y Wang, X Zhao, J Jin, Q Gan, Z Zhang, D Wipf NeurIPS 2022, 2022 | 30 | 2022 |
| A Deep Recurrent Survival Model for Unbiased Ranking J Jin, Y Fang, W Zhang, K Ren, G Zhou, J Xu, Y Yu, J Wang, X Zhu, K Gai SIGIR 2020, 29-38, 2020 | 28 | 2020 |
| Debiased recommendation with user feature balancing M Yang, G Cai, F Liu, J Jin, Z Dong, X He, J Hao, W Shao, J Wang, ... TOIS 2023, 2022 | 14 | 2022 |
| Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data J Jin, X Chen, W Zhang, J Huang, Z Feng, Y Yu WWW 2022, 2451-2461, 2022 | 13 | 2022 |
| Multi-Scale User Behavior Network for Entire Space Multi-Task Learning J Jin, X Chen, W Zhang, Y Chen, Z Jiang, Z Zhu CIKM 2022, 874-883, 2022 | 13* | 2022 |
| Inductive Relation Prediction Using Analogy Subgraph Embeddings J Jin, Y Wang, K Du, W Zhang, Z Zhang, D Wipf, Y Yu, Q Gan ICLR 2022, 2021 | 12* | 2021 |
| Why Propagate Alone? Parallel Use of Labels and Features on Graphs Y Wang, J Jin, W Zhang, Y Yang, J Chen, Q Gan, Y Yu, Z Zhang, Z Huang, ... ICLR 2022, arXiv preprint arXiv:2110.07190, 2021 | 11* | 2021 |
| Lending Interaction Wings to Recommender Systems with Conversational Agents J Jin, X Chen, F Ye, M Yang, Y Feng, W Zhang, Y Yu, J Wang NeurIPS 2023, 2023 | 8 | 2023 |
| Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation X Chen, J Shen, W Xia, J Jin, Y Song, W Zhang, W Liu, M Zhu, R Tang, ... AAAI 2023, 2023 | 8 | 2023 |
| AlignRec: Aligning and Training in Multimodal Recommendations Y Liu, K Zhang, X Ren, Y Huang, J Jin, Y Qin, R Su, R Xu, Y Yu, W Zhang CIKM 2024, 1503-1512, 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 TOIS 2022 40 (3), 1-35, 2022 | 6* | 2022 |
| Investigations on the local structures of Cu2+ at various BaO concentrations in 59B2O3–10K2O–(30−x)ZnO–xBaO–1CuO glasses JR Jin, SY Wu, J Hong, SN Liu, MX Song, BH Teng, MH Wu Philosophical Magazine 97 (31), 2858-2870, 2017 | 5 | 2017 |
| Graph-Enhanced Exploration for Goal-oriented Reinforcement Learning J Jin, S Zhou, W Zhang, T He, Y Yu, R Fakoor Preprint 2021, 2021 | 4 | 2021 |
| Are Edges Topology or Supervision: Edge-aware Message Passing for Graph based Recommendation J Jin, Y Wang, W Zhang, Q Gan, X Song, Y Yu, Z Zhang, D Wipf Preprint 2023, 2023 | 3* | 2023 |
| Search-based Time-aware Graph-enhanced Recommendation with Sequential Behavior Data L Zheng, H Chai, X Chen, J Jin, W Zhang, Y Yu, X Guo, C Ge, Z Feng TORS 2023 2 (4), 1-29, 2024 | 2 | 2024 |
Weinan ZhangProfessor, Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
