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KDD 2023: all accepted papers

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

1 … 5 6

  1. Distributed Optimization for Big Data Analytics: Beyond Minimization ↗Hongchang Gao, Xinwen Zhang1 citation
  2. Efficient Single-Source SimRank Query by Path Aggregation ↗Mingxi Zhang, Yanghua Xiao, Wei Wang1 citation
  3. Enhance Diffusion to Improve Robust Generalization ↗Jianhui Sun, Sanchit Sinha, Aidong Zhang1 citation
  4. Entity-aware Multi-task Learning for Query Understanding at Walmart ↗Zhiyuan Peng, Vachik S. Dave, Nicole McNabb et al.1 citation
  5. EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments ↗Federico Bianchi, Patrick John Chia, Jacopo Tagliabue et al.1 citation
  6. Fair Allocation Over Time, with Applications to Content Moderation ↗Amine Allouah, Christian Kroer, Xuan Zhang et al.1 citation
  7. Fair Multilingual Vandalism Detection System for Wikipedia ↗Mykola Trokhymovych, Muniza Aslam, Ai-Jou Chou et al.1 citation
  8. Fairness-Aware Continuous Predictions of Multiple Analytics Targets in Dynamic Networks ↗Ruifeng Liu, Qu Liu, Tingjian Ge1 citation
  9. Fast Text Generation with Text-Editing Models ↗Eric Malmi, Yue Dong, Jonathan Mallinson et al.1 citation
  10. Fragility Index: A New Approach for Binary Classification ↗Chen Yang, Ziqiang Zhang, Bo Cao et al.1 citation
  11. GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes ↗Jian Zhang, Da Zheng, Xiang Song et al.1 citation
  12. IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics ↗Jia‐Qi Yang, Yucheng Xu, Jia-Lei Shen et al.1 citation
  13. Internal Logical Induction for Pixel-Symbolic Reinforcement Learning ↗Jiacheng Xu, Chao Chen, Fuxiang Zhang et al.1 citation
  14. KDD 2023 Workshop on Data Science and AI for Sports ↗Huan Song, Panpan Xu, Lin Lee Cheong et al.1 citation
  15. KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces ↗Zhiwei Tony Qin, Rui Song, Jieping Ye et al.1 citation
  16. KiL 2023 : 3rd International Workshop on Knowledge-infused Learning ↗Manas Gaur, Efthymia Tsamoura, Sarath Sreedharan et al.1 citation
  17. Learning to Discover Various Simpson's Paradoxes ↗Jingwei Wang, Jianshan He, Weidi Xu et al.1 citation
  18. Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing Systems ↗Peng Peng, Shengyi Ji, Zhen Tian et al.1 citation
  19. Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding ↗Haoyu Wang, Yaqing Wang, Feijie Wu et al.1 citation
  20. Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler ↗Zhijun Chen, Hailong Sun, Wanhao Zhang et al.1 citation
  21. On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms ↗Fanchen Bu, Kijung Shin1 citation
  22. RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery ↗Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi et al.1 citation
  23. Socially Responsible Machine Learning: A Causal Perspective ↗Raha Moraffah, Amir-Hossein Karimi, Adrienne J. Raglin et al.1 citation
  24. The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles ↗Md. Shamim Hussain, Mohammed Javeed Zaki, Dharmashankar Subramanian1 citation
  25. The KDD'23 Workshop on Causal Discovery, Prediction and Decision (CDPD 2023) ↗Thuc Duy Le1 citation
  26. Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications ↗Hanbo Zhang, Jiangxin Li, Shen Liang et al.1 citation
  27. Trustworthy Transfer Learning: Transferability and Trustworthiness ↗Jun Wu, Jingrui He1 citation
  28. Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare ↗Tao Xu, Fei Wang, Prithwish Chakraborty et al.1 citation
  29. 22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023) ↗Da Yan, Ariful Azad, Jie Hou et al.
  30. 2nd Workshop on End-End Customer Journey Optimization ↗Hongying Zhao, Zhenyu Zhao, Anbang Xu et al.
  31. 2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI) ↗Chen Zhao, Feng Chen, Xintao Wu et al.
  32. 2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making ↗Xujiang Zhao, Chen Zhao, Feng Chen et al.
  33. 3D-Polishing for Triangular Mesh Compression of Point Cloud Data ↗Jiaqi Gu, Guosheng Yin
  34. 3rd Workshop on Online and Adaptive Recommender Systems (OARS) ↗Xiquan Cui, Vachik S. Dave, Yi Dan Su et al.
  35. AdKDD 2023 ↗Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee et al.
  36. AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness ↗Liyao Jiang, Chenglin Li, Haolan Chen et al.
  37. CADENCE: Offline Category Constrained and Diverse Query Generation for E-commerce Autosuggest ↗Abhinav Anand, Surender Kumar, Nandeesh Kumar et al.
  38. From Innovation to Scale (I2S) - Discuss and Learn How to Successfully Build, Commercialize, and Scale AI Innovations in Challenging Market Conditions ↗Ankur M. Teredesai, Michael Zeller, Bao Sheng-hua et al.
  39. From Labels to Decisions: A Mapping-Aware Annotator Model ↗Evan Yao, Jagdish Ramakrishnan, Xu Chen et al.
  40. Getting an h-Index of 100 in 20 Years or Less! ↗Eamonn Keogh
  41. Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs ↗Zequn Sun, Jiacheng Huang, Jinghao Lin et al.
  42. KDD 2023 International Workshop on Data Science for Social Good (DSSG-23) ↗Amulya Yadav, Aparna Taneja, Ayan Mukhopadhyay et al.
  43. MAPLE: Semi-Supervised Learning with Multi-Alignment and Pseudo-Learning ↗Juncheng Yang, Chao Li, Zuchao Li et al.
  44. Modelling Delayed Redemption with Importance Sampling and Pre-Redemption Engagement ↗Samik Datta, Anshuman Mourya, Anirban Majumder et al.
  45. Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples ↗Shuo He, Lei Feng, Guowu Yang
  46. Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference ↗Aman Gupta, S. Sathiya Keerthi, Ayan Acharya et al.
  47. Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective ↗Meng Yu, Jiaxin Huang, Yu Zhang et al.
  48. Privacy in Advertising: Analytics and Modeling ↗Badih Ghazi, Ravi Kumar, Pasin Manurangsi
  49. Robust NLP for Finance (RobustFin) ↗Sameena Shah, Xiaodan Zhu, Gerard de Melo et al.
  50. SAInf: Stay Area Inference of Vehicles using Surveillance Camera Records ↗Zhipeng Ma, Chuishi Meng, Huimin Ren et al.
  51. Self-Adaptive Perturbation Radii for Adversarial Training ↗Huimin Wu, Wanli Shi, Chenkang Zhang et al.
  52. The 3rd Workshop on Artificial Intelligence-enabled Cybersecurity Analytics ↗Sagar Samtani, Shanchieh Jay Yang, Hsinchun Chen
  53. The 3rd Workshop on Graph Learning Benchmarks (GLB 2023) ↗Jiaqi Ma, Jiong Zhu, Yuxiao Dong et al.
  54. The 4th International Workshop on Talent and Management Computing (TMC'2023) ↗Hengshu Zhu, Hui Yun Xiong, Yong Ge et al.
  55. The 6th Workshop on e-eommerce and NLP (ECNLP 6) ↗Shervin Malmasi, Besnik Fetahu, Eugene Agichtein et al.
  56. The 9th SIGKDD International Workshop on Mining and Learning from Time Series ↗Sanjay Purushotham, Dongjin Song, Qingsong Wen et al.
  57. The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing ↗Wenhao Yu, Lingbo Tong, Weijia Shi et al.
  58. Web-based Long-term Spine Treatment Outcome Forecasting ↗Hangting Ye, Zhining Liu, Wei Cao et al.

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