KDD（ACM SIGKDD Conference on Knowledge Discovery and Data Mining）由美国计算机学会(ACM)旗下的SIGKDD专业委员会主办，是数据科学、数据挖掘、知识发现领域历史最悠久、影响力最顶级的国际学术会议之一，被中国计算机学会（CCF）列为A类推荐会议。第32届ACM SIGKDD知识发现与数据挖掘会议，将于2026年8月9日至13日在韩国济州国际会议中心举行。
近日，KDD 2026 录用结果正式公布。香港科技大学(广州)工业信息与智能研究所(Triple-I Institute)师生团队表现卓越，共11篇高水平论文被大会接收，充分展现了研究所在数据科学领域的卓越研究实力。
论文一:
MedTVL: Harnessing Vision and Language for Medical Time Series Classification
MedTVL: 基于视语协同的医学时间序列分类
Author: Jiexia Ye, Jia Li, Fugee Tsung
论文二:
Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System
城市系统中基于分层强化学习的空地协同订单派送方法
Author: Songxin Lei, Chunming Ma, Haomin Wen, Yexin Li, Lizhenghe Chen, Qianyu Yang, Fugee Tsung, Lei Chen, Sijie Ruan, Yuxuan Liang
论文三：
Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction
基于数值天气预报的傅里叶几何风力发电预测
Author: Shiyuan Piao, FAN Zehui, Yang Liu, Hong Cheng, Juepeng Zheng, Jie Zhou, Fugee Tsung
论文四：
TA-TFN: Task-Adaptive Frequency Decoupling for Generalizable Battery State Estimation across Chemistries
面向跨体系电池状态估计的任务自适应频域解耦
Author: Jing Wang, Shiyuan Piao, Fugee Tsung
论文五：
IMGNN: an Efficient, Effective and Generalizable Algorithm for Influence Maximization in Social Networks
IMGNN：一种高效、有效且可推广的社交网络影响力最大化算法
Author: Haotian Zhang, Kai Han, Zhizhuo Yin, Shuang Cui, Jing Tang, Pan Hui
论文六：
Signed Proximity Matters in Graph-based Recommendation
有符号邻近性在图推荐中的重要性
Author: Yifan Song, Renchi Yang, Jing Tang
论文七：
Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling
多智能体协同推理与工具增强的城市区域表征
Author: Xixuan Hao, Yutian Jiang, Jiabo Liu, Yihang Yang, Guangyin Jin, Song Gao, Yuxuan Liang
论文八：
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
TS-Memory：面向时间序列基础模型的即插即用记忆模块
Author: Sisuo Lyu, Siru Zhong, Tiegang Chen, Weilin Ruan, Qingxiang Liu, Taiqiang Lv, Qingsong Wen, Raymond Chi-Wing Wong, Yuxuan Liang
论文九：
UrbanFM: Scaling Urban Spatio-Temporal Foundation Models
UrbanFM：扩展城市时空基础模型
Author: Wei Chen, Yuqian Wu , Junle Chen, Xiaofang Zhou, Yuxuan Liang
论文十：
How to Train Your Mamba for Time Series Forecasting
如何训练适用于时间序列预测任务的Mamba模型
Author: Jiaxi Hu, Disen Lan, Ziyu Zhou, Gefeng Luo, Qingsong Wen, Yuxuan Liang
论文十一：
Label Annotation for Tabular Anomaly Detection with Large Language Models
基于大语言模型的表格异常检测标签标注方法
Author: Haihong Zhao, Aochuan Chen, Miao Peng, Xiaolong Fan, Daowei Lin, Xuan Zong, Jun Zhou , Jia Li