Hao Ding

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Contextual Cues

Similarity Computation

Item Recommendation

Top Venues

Publications

Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. WSDM (2024)
Hao Ding, Ziwei Fan, Ingo Gühring, Gaurav Gupta, Wooseok Ha, Jun Huan, Linbo Liu, Behrooz Omidvar-Tehrani, Shiqi Wang, Hao Zhou
Reasoning and Planning with Large Language Models in Code Development. KDD (2024)
Ziqian Lin, Hao Ding, Trong Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang
Pre-trained Recommender Systems: A Causal Debiasing Perspective. WSDM (2024)
Hao Ding, Branislav Kveton, Yifei Ma, Youngsuk Park, Venkataramana Kini, Yupeng Gu, Ravi Divvela, Fei Wang, Anoop Deoras, Hao Wang
Trending Now: Modeling Trend Recommendations. RecSys (2023)
Ziqian Lin, Hao Ding, Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang
Pre-trained Recommender Systems: A Causal Debiasing Perspective. CoRR (2023)
Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang
Personalized Federated Domain Adaptation for Item-to-Item Recommendation. CoRR (2023)
Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang
Personalized federated domain adaptation for item-to-item recommendation. UAI (2023)
Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. CoRR (2023)
Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems. CoRR (2022)
Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems. AAAI (2022)
Hao Ding, Yifei Ma, Anoop Deoras, Yuyang Wang, Hao Wang
Zero-Shot Recommender Systems. CoRR (2021)
Yunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching. AAAI (2020)
Yifei Ma, Balakrishnan (Murali) Narayanaswamy, Haibin Lin, Hao Ding
Temporal-Contextual Recommendation in Real-Time. KDD (2020)
Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. WSDM (2019)
Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity. CoRR (2019)
Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity. IJCAI (2019)
Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang
Convolutional Set Matching for Graph Similarity. CoRR (2018)
Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang
Convolutional Neural Networks for Fast Approximation of Graph Edit Distance. CoRR (2018)
Chun-Ta Lu, Lifang He, Hao Ding, Bokai Cao, Philip S. Yu
Learning from Multi-View Multi-Way Data via Structural Factorization Machines. WWW (2018)
Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang
Graph Edit Distance Computation via Graph Neural Networks. CoRR (2018)
Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin
Multi-way Multi-level Kernel Modeling for Neuroimaging Classification. CVPR (2017)
Chun-Ta Lu, Lifang He, Hao Ding, Philip S. Yu
Learning from Multi-View Structural Data via Structural Factorization Machines. CoRR (2017)