Awards

SIGKDD Research Innovation Award

Wei Wang

SIGKDD Service Award

Ankur Teredesai

SIGKDD Rising Star Award

Kai Shu

SIGKDD Test of Time Award – Research Track

XGBoost: A Scalable Tree Boosting System

Tianqi Chen, Carlos Guestrin

SIGKDD Test of Time Award – Applied Data Science

Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission

Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, Noemie Elhadad

SIGKDD Dissertation Award

Information-Seeking Intelligence with Large Language Models: Retrieval, Reasoning, and Agentic Learning

Bowen Jin

SIGKDD Dissertation Award – Runner Up

Harnessing Knowledge in Machine Learning Systems: From Representation Learning to Generative Intelligence

Yuhao Yang

SIGKDD Dissertation Award – Runner Up

Fast Fourier Transform for Data Mining: Theory and Algorithms

Yong-Chan Park

Best Paper Award – Datasets and Benchmark

CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark

Jiaqi Wang , Xiao Yang, Kai Sun, Parth Suresh, Sanat Sharma, Adam Czyzewski, Derek Andersen, Surya Appini, Arkav Baerjee, Sajal Choudhary, Shervin Ghasemlou, Ziqiang Guan, Akil Iyer, Haidar Khan, Lingkun Kong, Yuanhang Luo, Tiffany Ma, Zhen Qiao, Tammy Stark, David Tran, Wenfang Xu, Skyler Yeatman, Chen Zhou, Gunveer Gujral, Yinglong Xia, Seungwhan Moon, Nicolas Sheffer, Nirav Shah, Eun Chang, Yue Liu, Florian Metze, Zhaleh Feizollahi, Andrea Jessee, Mangesh Pujari, Ahmed Aly, Babak Damavandi, Rakesh Wanga, Anuj Kumar, Rohit Patel, Wen-tau Tih, Xin Luna Dong

Best Paper Award – Datasets and Benchmark Runner Up

FireSentry: A Multi-Modal Spatio-temporal Benchmark Dataset for Fine-Grained Wildfire Spread Forecasting

Nan Zhou, Huandong Wang, Jiahao Li, Han Li, Yali Song, Qiuhua Wang, Yong Li, Xinlei Chen

Best Paper Award – Datasets and Benchmark Honorable Mention

QuaMap: A Multi-Backend Benchmark Dataset for Quantum Circuit Mapping and Learning-Based Compiler Evaluation

Ziming Zhao, Tingting Li, Jianwei Yin

Best Paper Award – Research

PiPNN: Ultra-Scalable Graph-based Nearest Neighbor Indexing

Tobias Rubel, Richard Wen, Laxman Dhulipala, Lars Gottesbüren, Rajesh Jayaram, Jakub Łącki

Best Paper Award – Research Runner Up

Submodular Maximization under Supermodular Constraints: Greedy Guarantees

Ajitesh Srivastava, Shanghua Teng

Best Paper Award – Research Honorable Mention

EARTH: Accelerating Spatiotemporal Network K-function-Based Analytics

Tsz Nam Chan, Hongwei Ye, Leong Hou U, Yun Peng, Dingming Wu, Jianliang Xu, Christian S. Jensen

Best Student Paper Award – Research

SCOPE: Cost-Efficient Model Selection for Compound AI Systems under Quality Constraints

Yiqian Huang, Shiqi Zhang, Tianyuan Jin, Xiaokui Xiao

Best Paper Award – ADS

MCGrad: Multicalibration at Web Scale

Niek Tax, Lorenzo Perini, Fridolin Linder, Daniel Haimovich, Dima Karamshuk, Nastaran Okati, Milan Vojnovic, Pavlos Athanasios Apostolopoulos

Best Paper Award – ADS Runner Up

Deep-learning Causal Retrieval Optimization for Efficient E-Commerce Distribution in Pinterest

Junpeng Hou, XianXing Zhang, Sai Xiao, Derek Cheng, Darren Reger, Olafur Gudmundsson, Mehdi Ben Ayed, Zhiqing Rao, Huizhong Duan

Best Paper Award – ADS Honorable Mention

DeGRe: Dense-supervised Generative Reranking for Recommendation

Chaotian Song, Jingyao Zhang, Chenghao Chen, Zisen Sang, Dehai Zhao, Guodong Cao, Boxi Wu, Deng Cai, Jia Jia

Best Paper Award – AI4S

Epistemic-Aware Vision–Language Foundation Model for Fetal Ultrasound Interpretation

Xiao He, Huangxuan Zhao, Guojia Wan, Jiancheng Pan, Yanxing Liu, Xin Zou, Yong Luo, Yongchao Xu, Juhua Liu, Wei Zhou, Dacheng Tao, Bo Du

Best Paper Award – AI4S Runner Up

From Surface to Depth: Diagnosing Ocean Vertical Velocity with 3D Frequency Operator

Haonan Qi, Bin Lu, Yimian Hu, Ze Zhao, Meng Jin, Lixin Qu, Shuai Li, Shizhen Zhao, Lei Zhou, Xiaoying Gan, Xinbing Wang, Chenghu Zhou