Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering. - Tong Zhao 002; Julian J. McAuley; Irwin King (CIKM, 2014)

Exploiting homophily-based implicit social network to improve recommendation performance. - Tong Zhao 002; Junjie Hu 001; Pinjia He; Hang Fan; Michael R. Lyu; Irwin King (IJCNN, 2014)

Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation. - Tong Zhao 002; Julian J. McAuley; Irwin King (CIKM, 2015)

Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks. - Tong Zhao 002; H. Vicky Zhao; Irwin King (CIKM, 2015)

STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation. - Shenglin Zhao; Tong Zhao 002; Haiqin Yang; Michael R. Lyu; Irwin King (AAAI, 2016)

Constructing Reliable Gradient Exploration for Online Learning to Rank. - Tong Zhao 002; Irwin King (CIKM, 2016)

Locality-Sensitive Linear Bandit Model for Online Social Recommendation. - Tong Zhao 002; Irwin King (ICONIP (1), 2016)

Modeling the Homophily Effect between Links and Communities for Overlapping Community Detection. - Hongyi Zhang; Tong Zhao 002; Irwin King; Michael R. Lyu (IJCAI, 2016)

Trust-aware Peer Assessment using Multi-armed Bandit Algorithms. - Hou Pong Chan; Tong Zhao 002; Irwin King (WWW (Companion Volume), 2016)

GT-SEER: Geo-Temporal SEquential Embedding Rank for Point-of-interest Recommendation. - Shenglin Zhao; Tong Zhao 002; Irwin King; Michael R. Lyu (CoRR, 2016)

It's about time! Modeling customer behaviors as the secretary problem in daily deal websites. - Tong Zhao 002; Mandy Hu; Razieh Rahimi; Irwin King (IJCNN, 2017)

Improving recommendation accuracy using networks of substitutable and complementary products. - Tong Zhao 002; Julian J. McAuley; Mengya Li; Irwin King (IJCNN, 2017)

Geo-Teaser: Geo-Temporal Sequential Embedding Rank for Point-of-interest Recommendation. - Shenglin Zhao; Tong Zhao 002; Irwin King; Michael R. Lyu (WWW (Companion Volume), 2017)

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. - Namyong Park; Andrey Kan; Xin Luna Dong; Tong Zhao 002; Christos Faloutsos (KDD, 2019)

MEBF: a fast and efficient Boolean matrix factorization method. - Changlin Wan; Wennan Chang; Tong Zhao 002; Mengya Li; Sha Cao; Chi Zhang 021 (CoRR, 2019)

Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation. - Changlin Wan; Wennan Chang; Tong Zhao 002; Mengya Li; Sha Cao; Chi Zhang 021 (AAAI, 2020)

P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. - Junheng Hao; Tong Zhao 002; Jin Li 003; Xin Luna Dong; Christos Faloutsos; Yizhou Sun; Wei Wang 010 (CIKM, 2020)

Denoising Individual Bias for Fairer Binary Submatrix Detection. - Changlin Wan; Wennan Chang; Tong Zhao 002; Sha Cao; Chi Zhang 021 (CIKM, 2020)

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. - Xin Luna Dong; Xiang He 007; Andrey Kan; Xian Li; Yan Liang 004; Jun Ma 029; Yifan Ethan Xu; Chenwei Zhang; Tong Zhao 002; Gabriel Blanco Saldana; Saurabh Deshpande; Alexandre Michetti Manduca; et al. (KDD, 2020)

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. - Yuning Mao; Tong Zhao 002; Andrey Kan; Chenwei Zhang; Xin Luna Dong; Christos Faloutsos; Jiawei Han 001 (KDD, 2020)

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. - Namyong Park; Andrey Kan; Xin Luna Dong; Tong Zhao 002; Christos Faloutsos (KDD, 2020)

Geometric All-way Boolean Tensor Decomposition. - Changlin Wan; Wennan Chang; Tong Zhao 002; Sha Cao; Chi Zhang 021 (NeurIPS, 2020)

Denoising individual bias for a fairer binary submatrix detection. - Changlin Wan; Wennan Chang; Tong Zhao 002; Yong Zang; Sha Cao; Chi Zhang 021 (CoRR, 2020)

End-to-End Conversational Search for Online Shopping with Utterance Transfer. - Liqiang Xiao; Jun Ma 029; Xin Luna Dong; Pascual Martínez-Gómez; Nasser Zalmout; Wei Chen; Tong Zhao 002; Hao He 007; Yaohui Jin (EMNLP (1), 2021)

Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence. - Wennan Chang; Pengdao Dang; Changlin Wan; Xiaoyu Lu; Yue Fang; Tong Zhao 002; Yong Zang; Bo Li; Chi Zhang 021; Sha Cao (ICDM, 2021)

Graph-based Multilingual Product Retrieval in E-Commerce Search. - Hanqing Lu; Youna Hu; Tong Zhao 002; Tony Wu; Yiwei Song; Bing Yin (NAACL-HLT (Industry Papers), 2021)

EX3: Explainable Attribute-aware Item-set Recommendations. - Yikun Xian; Tong Zhao 002; Jin Li 003; Jim Chan; Andrey Kan; Jun Ma 029; Xin Luna Dong; Christos Faloutsos; George Karypis; S. Muthukrishnan 001; Yongfeng Zhang (RecSys, 2021)

Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback. - Trong Nghia Hoang; Anoop Deoras; Tong Zhao 002; Jin Li 003; George Karypis (AISTATS, 2022)

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. - Yifan Gao 001; Qingyu Yin; Zheng Li 018; Rui Meng; Tong Zhao 002; Bing Yin; Irwin King; Michael R. Lyu (NAACL-HLT (Findings), 2022)

Coarse-to-Fine Sparse Sequential Recommendation. - Jiacheng Li 003; Tong Zhao 002; Jin Li 003; Jim Chan; Christos Faloutsos; George Karypis; Soo-Min Pantel; Julian J. McAuley (SIGIR, 2022)

Bias aware probabilistic Boolean matrix factorization. - Changlin Wan; Pengtao Dang; Tong Zhao 002; Yong Zang; Chi Zhang 021; Sha Cao (UAI, 2022)

AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions. - Quoc-Tuan Truong; Tong Zhao 002; Changhe Yuan; Jin Li 003; Jim Chan; Soo-Min Pantel; Hady W. Lauw (WWW, 2022)

RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. - Ruijie Wang 004; Zheng Li 018; Danqing Zhang; Qingyu Yin; Tong Zhao 002; Bing Yin; Tarek F. Abdelzaher (WWW, 2022)

Personalized Complementary Product Recommendation. - An Yan 003; Chaosheng Dong; Yan Gao; Jinmiao Fu; Tong Zhao 002; Yi Sun; Julian J. McAuley (WWW (Companion Volume), 2022)

Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation. - Pengtao Dang; Haiqi Zhu; Tingbo Guo; Changlin Wan; Tong Zhao 002; Paul Salama; Yijie Wang; Sha Cao; Chi Zhang 021 (KDD, 2023)

Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning. - Xiao Wang 012; Jia Wang; Tong Zhao 002; Yijie Wang; Nan Zhang; Yong Zang; Sha Cao; Chi Zhang 021 (UAI, 2024)