Multi-way Multi-level Kernel Modeling for Neuroimaging Classification. - Lifang He 001; Chun-Ta Lu; Hao Ding 003; Shen Wang 005; Linlin Shen; Philip S. Yu; Ann B. Ragin (CVPR, 2017)

Learning from Multi-View Structural Data via Structural Factorization Machines. - Chun-Ta Lu; Lifang He 001; Hao Ding 003; Philip S. Yu (CoRR, 2017)

Learning from Multi-View Multi-Way Data via Structural Factorization Machines. - Chun-Ta Lu; Lifang He 001; Hao Ding 003; Bokai Cao; Philip S. Yu (WWW, 2018)

Graph Edit Distance Computation via Graph Neural Networks. - Yunsheng Bai; Hao Ding 003; Song Bian 002; Ting Chen 007; Yizhou Sun; Wei Wang 010 (CoRR, 2018)

Convolutional Neural Networks for Fast Approximation of Graph Edit Distance. - Yunsheng Bai; Hao Ding 003; Yizhou Sun; Wei Wang 010 (CoRR, 2018)

Convolutional Set Matching for Graph Similarity. - Yunsheng Bai; Hao Ding 003; Yizhou Sun; Wei Wang 010 (CoRR, 2018)

Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity. - Yunsheng Bai; Hao Ding 003; Yang Qiao; Agustin Marinovic; Ken Gu; Ting Chen 007; Yizhou Sun; Wei Wang 010 (IJCAI, 2019)

SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. - Yunsheng Bai; Hao Ding 003; Song Bian 002; Ting Chen 007; Yizhou Sun; Wei Wang 010 (WSDM, 2019)

Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity. - Yunsheng Bai; Hao Ding 003; Yang Qiao; Agustin Marinovic; Ken Gu; Ting Chen 007; Yizhou Sun; Wei Wang 010 (CoRR, 2019)

Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching. - Yunsheng Bai; Hao Ding 003; Ken Gu; Yizhou Sun; Wei Wang 010 (AAAI, 2020)

Temporal-Contextual Recommendation in Real-Time. - Yifei Ma; Balakrishnan (Murali) Narayanaswamy; Haibin Lin; Hao Ding 003 (KDD, 2020)

Zero-Shot Recommender Systems. - Hao Ding 003; Yifei Ma; Anoop Deoras; Yuyang Wang 001; Hao Wang 014 (CoRR, 2021)

Context Uncertainty in Contextual Bandits with Applications to Recommender Systems. - Hao Wang 014; Yifei Ma; Hao Ding 003; Yuyang Wang 001 (AAAI, 2022)

Trending Now: Modeling Trend Recommendations. - Hao Ding 003; Branislav Kveton; Yifei Ma; Youngsuk Park; Venkataramana Kini; Yupeng Gu; Ravi Divvela; Fei Wang 065; Anoop Deoras; Hao Wang 014 (RecSys, 2023)

Personalized federated domain adaptation for item-to-item recommendation. - Ziwei Fan 001; Hao Ding 003; Anoop Deoras; Trong Nghia Hoang (UAI, 2023)

Pre-trained Recommender Systems: A Causal Debiasing Perspective. - Ziqian Lin; Hao Ding 003; Nghia Hoang; Branislav Kveton; Anoop Deoras; Hao Wang 014 (CoRR, 2023)

Reasoning and Planning with Large Language Models in Code Development. - Hao Ding 003; Ziwei Fan 001; Ingo Gühring; Gaurav Gupta; Wooseok Ha; Jun Huan; Linbo Liu; Behrooz Omidvar-Tehrani; Shiqi Wang 002; Hao Zhou 036 (KDD, 2024)

Pre-trained Recommender Systems: A Causal Debiasing Perspective. - Ziqian Lin; Hao Ding 003; Trong Nghia Hoang; Branislav Kveton; Anoop Deoras; Hao Wang 014 (WSDM, 2024)

Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. - Behnam Rahdari; Hao Ding 003; Ziwei Fan 001; Yifei Ma; Zhuotong Chen; Anoop Deoras; Branislav Kveton (WSDM, 2024)

DINOv2-powered Few-Shot Semantic Segmentation: A Unified Framework via Cross-Model Distillation and 4D Correlation Mining. - Wei Zhuo; Zhiyue Tang; Wufeng Xue; Hao Ding 003; Linlin Shen (CoRR, 2025)

Lossless Token Sequence Compression via Meta-Tokens. - John Harvill; Ziwei Fan 001; Hao Wang 014; Yizhou Sun; Hao Ding 003; Luke Huan; Anoop Deoras (CoRR, 2025)