Data Heterogeneity Modeling for Trustworthy Machine Learning
机构 * Tsinghua University(清华大学)
Comments Survey paper for tutorial "Data Heterogeneity Modeling for Trustworthy Machine Learning" in KDD'25
期刊&会议
ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 会议 · Data Mining
机构 * Tsinghua University(清华大学)
Comments Survey paper for tutorial "Data Heterogeneity Modeling for Trustworthy Machine Learning" in KDD'25
机构 * Aalborg University(奥胡斯大学) ; University of Electronic Science and Technology of China(电子科技大学) ; Shenzhen Institute for Advanced Study(深圳先进研究所) ; CENTAI
Comments Accepted by KDD 2025
机构 * McGill University(麦吉尔大学) ; Mila-Quebec AI Institute(魁北克AI研究院) ; The University of Adelaide(阿德莱德大学) ; University of Southern Queensland(南方昆士兰大学) ; Deakin University(德肯大学) ; Monash University(墨尔本大学)
Comments Accepted version to KDD 2025
机构 * Department of Electronic Engineering, BNRist, Tsinghua University(电子工程系、BNRist、清华大学) ; School of Electronic and Information Engineering, Beijing Jiaotong University(电子信息工程学院、北京交通大学) ; Department of Electronic Engineering, Tsinghua University(电子工程系、清华大学) ; Department of Urban Planning, Tsinghua University(城市规划系、清华大学)
Comments Accepted by KDD 2025 Research Track, https://github.com/tsinghua-fib-lab/CityGPT
机构 * Department of Electronic Engineering, BNRist, Tsinghua University(电子工程系、北京理工大学、清华大学) ; School of Electronic and Information Engineering, Beijing Jiaotong University(电子信息工程学院、北京交通大学) ; Shenzhen International Graduate School, Tsinghua University(深圳国际研究生院、清华大学)
Comments Accepted by KDD 2025 D&B Track, https://github.com/tsinghua-fib-lab/CityBench
机构 * UMR 9189 - CRIStAL Université de Lille CNRS, Inria, Centrale Lille(UMR 9189 - CRIStAL 威廉王大学 CNRS、Inria、Centrale Lille)
Comments ACM SIGKDD 2025, 12 pages
机构 * Meta Platforms, Inc.(Meta平台公司) ; OpenAI ; Independent(独立研究者)
Comments SIGKDD 2025 accepted
机构 * New Jersey Institute of Technology(新泽西理工学院) ; Arizona State University(亚利桑那州立大学) ; Florida International University(佛罗里达国际大学)
Comments In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD25)
Journal ref In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025)
机构 * Booz Allen Hamilton(博世-阿伦哈姆顿公司) ; Laboratory for Physical Sciences(物理科学实验室)
Comments KDD 2025, Research Track
机构 * RWTH Aachen University(亚琛工业大学)
Comments Accepted for KDD 2025
机构 * University of Central Florida(佛罗里达中央大学) ; University of Kansas(堪萨斯大学) ; Vanderbilt University Medical Center(范德比尔特大学医学中心) ; Arizona State University(亚利桑那州立大学)
Comments 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025)
机构 * Beijing University of Posts and Telecommunications(北京邮电大学) ; Singapore Management University(新加坡国立大学) ; China Telecom Bestpay(中国电信最佳支付)
Comments Accepted by KDD 2025
机构 * Alibaba-NTU Singapore Joint Research Institute(阿里巴巴-国立科技大学新加坡联合研究机构) ; College of Computing and Data Science, Nanyang Technological University Singapore(国立科技大学新加坡计算机与数据科学学院) ; CFAR, A*STAR Singapore(新加坡A*STAR医学研究中心)
Comments KDD 2025
机构 * University of Georgia(佐治亚大学) ; University of Texas at Austin(德克萨斯大学奥斯汀分校)
Comments Accepted to KDD 2025 Datasets and Benchmarks Track
机构 * Brown University(布朗大学) ; University of Tübingen(图宾根大学)
Journal ref Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (KDD '25), August 3--7, 2025, Toronto, ON, Canada
Comments Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (KDD '25), August 3--7, 2025, Toronto, ON, Canada
机构 * The Pennsylvania State University(宾夕法尼亚州立大学) ; Hong Kong University of Science and Technology (Guangzhou)(香港科学与技术大学(广州))
Comments To be appeared in KDD 2025
机构 * Institute for Clarity in Documentation(清晰文档研究所) ; Inria Paris-Rocquencourt(巴黎-罗克琴克研究所) ; Rajiv Gandhi University(拉贾·甘地大学) ; Tsinghua University(清华大学) ; Palmer Research Laboratories(帕勒尔研究实验室) ; Northeastern University(东北大学)
Comments Extended version of conference paper appearing in KDD 2025
机构 * Key Lab of High Confidence Software Technologies (Peking University), Ministry of Education(高可信软件技术重点实验室(北京大学)) ; School of Computer Science, Peking University(计算机学院) ; Key Laboratory of Process Optimization and Intelligent Decision-making, Ministry of Education(过程优化与智能决策重点实验室) ; School of Management, Hefei University of Technology(管理学院)
Comments Accepted by KDD Applied Data Science Track 2025
机构 * The Chinese University of Hong Kong, Hong Kong SAR, China(香港中文大学) ; Fudan University, Shanghai, China(复旦大学) ; City University of Hong Kong, Hong Kong SAR, China(香港城市大学) ; Carnegie Mellon University, PA, USA(卡内基梅隆大学)
Comments Accepted at the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
Comments In SIGKDD (2025), 10 pages
机构 * Snap Inc.(Snap公司)
Comments Accepted to KDD'25
机构 * Anhui University(安徽大学) ; Huawei Noah’s Ark Lab(华为诺亚实验室)
Comments KDD'25 accepted
机构 * Hong Kong University of Science and Technology(香港科技大学) ; Department of Computer Science and Engineering(计算机科学与工程系) ; Hong Kong University of Science and Technology (Guangzhou)(香港科技大学(广州)) ; Thrust of Data Science And Analytics(数据科学与分析方向) ; South China Normal University(华南师范大学) ; School of Computer Science(计算机科学学院)
Comments Accepted to KDD 2025. This is the author's version of the work
机构 * Sun Yat-sen University(中山大学)
Comments Accepted by SIGKDD 2025
机构 * The Hong Kong University of Science and Technology (Guangzhou)(香港科学与技术大学(广州)) ; The Hong Kong University of Science and Technology(香港科学与技术大学)
Comments Accepted by KDD 2025 ADS Track
机构 * GIST(全南国立大学) ; KAIST(韩国科学技术院)
Comments KDD 2025 accepted
机构 * The Chinese University of Hong Kong(香港中文大学)
Comments Accepted at the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
机构 * Department of Strategic & Advanced Interdisciplinary Research, Pengcheng Laboratory(战略与先进跨学科研究部,鹏城实验室) ; The Chinese University of Hong Kong(香港中文大学)
Comments Accepted by ACM SIGKDD 2025
Comments KDD 2025