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 | 120* | 2020 |
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 | 114 | 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 | 110 | 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 | 100 | 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 | 66 | 2021 |
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 | 26 | 2020 |
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 | 17 | 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 | 11 | 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 | 8* | 2022 |
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 | 8 | 2022 |
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 | 7* | 2021 |
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 | 6 | 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 TOIS 2022 40 (3), 1-35, 2022 | 5* | 2022 |
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 | 4 | 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 | 3 | 2023 |
Graph-Enhanced Exploration for Goal-oriented Reinforcement Learning J Jin, S Zhou, W Zhang, T He, Y Yu, R Fakoor Preprint 2021, 2021 | 2 | 2021 |
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization J Jin, Z He, M Yang, W Zhang, Y Yu, J Wang, J McAuley WWW 2024, 2024 | | 2024 |
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank J Jin, X Chen, W Zhang, M Yang, Y Wang, Y Du, Y Yu, J Wang CIKM 2023, 2023 | | 2023 |
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 | | 2023 |
Bridging Query Completion and Item Recommendation in a Multi-Round Guess-and-Update System J Jin, X Chen, W Zhang, Y Yu, J Wang Preprint 2023, 2023 | | 2023 |