Awards

Research Innovation Award

George Karypis, University of Minnesota

Rising Star Award

Carl Yang, Emory Computer Science

Test of Time Award – Research

Collaborative Deep Learning for Recommender Systems​

Hao Wang, Naiyan Wang, Dit-Yan Yeung

Test of Time Award – Applied Data Science

‘Beating the News’ with EMBERS: Forecasting Civil Unrest Using Open Source Indicators​

Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Khandpur, Parang Saraf, Wei Wang, Jose Cadenv, Anil Vullikanti, Gizem Korkmaz, Chris Kuhlman, Achla Marath, Liang Zhao, Ting Hua, Feng Chen, Chang Tien L, Bert Huang, Aravind Srinivasan, ​Khoa Trinh, Lise Getoor, ​Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Summers, Youssef Fayed, ​Jaime Arredondo,Dipak Gupta, David Mares

Dissertation Award

Computational Methods for Human Networks and High-Stakes Decisions

Serina Chang

Dissertation Award – Runner Up

Structure-Enhanced Text Mining For Science​

Yu Zhang

Dissertation Award – Honorable Mention

Data Quality-Aware Graph Machine Learning​

Yu Wang

Trustworthy Transfer Learning​

Jun Wu

Best Paper Award – Research

Improving Group Robustness on Spurious Correlation via Evidential Alignment​

Wenqian Ye, Guangtao Zheng, Aidong Zhang

Runner up for the Best Paper Award – Research

Monitoring Robustness and Individual Fairness​

Ashutosh Gupta, Thomas A. Henzinger, Konstantin Kueffner, Kaushik Mallik, David Pape

Honorable Mention for the Best Paper Award – Research

SIGEM: A Simple Yet Effective Similarity Based Graph Embedding Method

Masoud Reyhani Hamedani, Jeong-Seok Oh, ​Seong-Un Cho, ​Sang-Wook Kim

Best Student Paper Award – Research

Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity

Shiyin Tan, Dongyuan Li, Renhe Jiang, Zhen Wang, Xingtong Yu, Manabu Okumura

Runner up for the Best Student Paper Award – Research

Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention

Wen Xiong, Jinduo Liu, Junzhong Ji, Fenglong Ma

Honorable Mention for the Best Student Paper Award – Research

Verification of Incomplete Graph Unlearning Through Adversarial Perturbations

Kun Wu, Wendy Hui Wang

Best Paper Award – Applied Data Science

Evaluating Decision Rules Across Many Weak Experiments​

Winston Chou, Colin Gray, ​Nathan Kallus, Aurélien Bibaut, Simon Ejdemyr

Runner Up for the Best Paper – Applied Data Science

Put Teacher in Student’s Shoes: Cross-Distillation for Ultra-compact Model Compression Framework

Maolin Wang, Jun Chu, Sicong Xie, Xiaoling Zhang, Yap Zhao, Wenliang Zhong, Xiangyu Zhao

Honorable Mentions for the Best Paper – Applied Data Science

Web Scale Graph Mining for Cyber Threat Intelligence​

Scott Freitas, Amir Gharib

VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform​

Xingyu Lu, Tianke Zhang, Chang Meng, Xiaobei Wang, Jinpeng Wang, YiFan Zhang, Shisong Tang, Changyi Liu, Haojie Ding, Kaiyu Jiang, Kaiyu Tang, Bin Wen, Hai-Tao Zheng, Fan Yeng, Tingting Gao, Di Zhang, Kun Gai

Best Paper Award – Dataset and Benchmark Track

When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark​ Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Yada Zhu, Julian Shun

Runner Ups for the Best Paper – Dataset and Benchmark Track

A Guide to Misinformation Detection Data and Evaluation​

Camille Thibault, Jacob-Junqi Tian, Gabrielle Peloquin-Skulski, ​Taylor Lynn Curtis, James Zhou, Florence Laflamme, Yuxiang Guan, Reihaneh Rabbany, Jean-Francois Godbout, Kellin Pelrine

HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark​

Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao,Qiang Yang

Audience Appreciation Awards

August Round

LLMLight: Large Language Models as Traffic Signal Control Agents​

Siqi Lai, Zhao Xu, Weijia Zhang, Hao Liu, and Hui Xiong​

February Round

Theory Instead of Experiment (TIE): A Creator Valuation System at Tencent​

Lei Huang and Juanjuan Zhang