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KDD 2023: all accepted papers

558 papers · page 3 of 6 · the most cited first · ← KDD 2023

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  1. Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay ↗Thomas Baldwin-McDonald, Lucas Maystre, Mounia Lalmas et al.14 citations
  2. Influence Maximization with Fairness at Scale ↗Yuting Feng, Ankitkumar N. Patel, Bogdan Cautis et al.14 citations
  3. Multi-Label Learning to Rank through Multi-Objective Optimization ↗Debabrata Mahapatra, Chaosheng Dong, Yetian Chen et al.14 citations
  4. The Missing Indicator Method: From Low to High Dimensions ↗Mike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio et al.14 citations
  5. Uncertainty Quantification in Deep Learning ↗Lingkai Kong, Harshavardhan Kamarthi, Peng Chen et al.14 citations
  6. Complementary Classifier Induced Partial Label Learning ↗Yuheng Jia, Chongjie Si, Min-Ling Zhang13 citations
  7. Cracking White-box DNN Watermarks via Invariant Neuron Transforms ↗Xudong Pan, Mi Zhang, Yifan Yan et al.13 citations
  8. Data-Efficient and Interpretable Tabular Anomaly Detection ↗Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arık et al.13 citations
  9. Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity ↗Atsushi Miyauchi, Tianyi Chen, Konstantinos Sotiropoulos et al.13 citations
  10. Graph Neural Networks: Foundation, Frontiers and Applications ↗Lingfei Wu, Peng Cui, Jian Pei et al.13 citations
  11. How Transitive Are Real-World Group Interactions? - Measurement and Reproduction ↗Sunwoo Kim, Fanchen Bu, Minyoung Choe et al.13 citations
  12. How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy ↗Natalia Ponomareva, Sergei Vassilvitskii, Zheng Xu et al.13 citations
  13. Learning Balanced Tree Indexes for Large-Scale Vector Retrieval ↗Wuchao Li, Chao Feng, Defu Lian et al.13 citations
  14. Learning for Counterfactual Fairness from Observational Data ↗Jing Ma, Ruocheng Guo, Aidong Zhang et al.13 citations
  15. Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection ↗Lorenzo Perini, Vincent Vercruyssen, Jesse J. Davis13 citations
  16. Towards Fair Disentangled Online Learning for Changing Environments ↗Chen Zhao, Feng Mi, Xintao Wu et al.13 citations
  17. Towards Reliable Rare Category Analysis on Graphs via Individual Calibration ↗Longfeng Wu, Bowen Lei, Dongkuan Xu et al.13 citations
  18. CFGL-LCR: A Counterfactual Graph Learning Framework for Legal Case Retrieval ↗Kun Zhang, Chong Chen, Yuanzhuo Wang et al.12 citations
  19. MicroscopeSketch: Accurate Sliding Estimation Using Adaptive Zooming ↗Yuhan Wu, Shiqi Jiang, Siyuan Dong et al.12 citations
  20. Neural Insights for Digital Marketing Content Design ↗Fanjie Kong, Yuan Li, Houssam Nassif et al.12 citations
  21. Off-Policy Learning-to-Bid with AuctionGym ↗Olivier Jeunen, Sean Murphy, Ben Allison12 citations
  22. Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction ↗Yifan Wang, Peijie Sun, Min Zhang et al.12 citations
  23. Using Motif Transitions for Temporal Graph Generation ↗Penghang Liu, Ahmet Erdem Sarıyüce12 citations
  24. A Personalized Automated Bidding Framework for Fairness-aware Online Advertising ↗Haoqi Zhang, Lvyin Niu, Zhenzhe Zheng et al.11 citations
  25. Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation ↗Qiang Yang, Changsheng Ma, Qiannan Zhang et al.11 citations
  26. Frigate: Frugal Spatio-temporal Forecasting on Road Networks ↗Mridul Gupta, Hariprasad Kodamana, Sayan Ranu11 citations
  27. Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream ↗Ruijie Miao, Yiyao Zhang, Guanyu Qu et al.11 citations
  28. Precision Health in the Age of Large Language Models ↗Hoifung Poon, Tristan Naumann, Sheng Zhang et al.11 citations
  29. Quantifying Node Importance over Network Structural Stability ↗Fan Zhang, Qingyuan Linghu, Jiadong Xie et al.11 citations
  30. Task Relation-aware Continual User Representation Learning ↗Sein Kim, Namkyeong Lee, Donghyun Kim et al.11 citations
  31. Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning ↗Aditya Srinivas Timmaraju, Mehdi Mashayekhi, Mingliang Chen et al.11 citations
  32. Accelerating Antimicrobial Peptide Discovery with Latent Structure ↗Danqing Wang, Zeyu Wen, Fei Ye et al.10 citations
  33. Binary Embedding-based Retrieval at Tencent ↗Yukang Gan, Yixiao Ge, Chang Sheng Zhou et al.10 citations
  34. CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution ↗Yuxiang Guo, Lu Chen, Zhengjie Zhou et al.10 citations
  35. Clenshaw Graph Neural Networks ↗Yuhe Guo, Zhewei Wei10 citations
  36. Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks ↗Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran et al.10 citations
  37. Doctor Specific Tag Recommendation for Online Medical Record Management ↗Yejing Wang, Shen Ge, Xiangyu Zhao et al.10 citations
  38. DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling ↗Yuchen Zhuang, Yue Yu, Lingkai Kong et al.10 citations
  39. Graph Neural Bandits ↗Yunzhe Qi, Yikun Ban, Jingrui He10 citations
  40. Hierarchical Invariant Learning for Domain Generalization Recommendation ↗Zeyu Zhang, Heyang Gao, Hao Yang et al.10 citations
  41. International Workshop on Federated Learning for Distributed Data Mining ↗Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu et al.10 citations
  42. Leveraging Relational Graph Neural Network for Transductive Model Ensemble ↗Zhengyu Hu, Jieyu Zhang, Haonan Wang et al.10 citations
  43. PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text ↗Muchao Ye, Jinghui Chen, Chenglin Miao et al.10 citations
  44. PROSE: Graph Structure Learning via Progressive Strategy ↗Huizhao Wang, Yao Fu, T.L. Yu et al.10 citations
  45. Path-Specific Counterfactual Fairness for Recommender Systems ↗Yaochen Zhu, Jing Ma, Liang Wu et al.10 citations
  46. Trustworthy Machine Learning: Robustness, Generalization, and Interpretability ↗Jindong Wang, Haoliang Li, Haohan Wang et al.10 citations
  47. A Higher-Order Temporal H-Index for Evolving Networks ↗Lutz Oettershagen, Nils M. Kriege, Petra Mutzel9 citations
  48. Adversaries with Limited Information in the Friedkin-Johnsen Model ↗Sijing Tu, Stefan Neumann, Aristides Gionis9 citations
  49. AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn ↗Zhentao Xu, Ruoying Wang, Girish Balaji et al.9 citations
  50. Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation ↗Jinman Park, Kimathi Kaai, Saad Hossain et al.9 citations

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