Tong Zhao

Orcid: 0009-0000-2453-3774

Affiliations:
  • Uber, Seattle, WA, USA
  • The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, SAR, China (former)


According to our database1, Tong Zhao authored at least 34 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Bias aware probabilistic Boolean matrix factorization.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Coarse-to-Fine Sparse Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
EX3: Explainable Attribute-aware Item-set Recommendations.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Graph-based Multilingual Product Retrieval in E-Commerce Search.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence.
Proceedings of the IEEE International Conference on Data Mining, 2021

End-to-End Conversational Search for Online Shopping with Utterance Transfer.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Denoising individual bias for a fairer binary submatrix detection.
CoRR, 2020

Geometric All-way Boolean Tensor Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Denoising Individual Bias for Fairer Binary Submatrix Detection.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

P-Companion: A Principled Framework for Diversified Complementary Product Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
MEBF: a fast and efficient Boolean matrix factorization method.
CoRR, 2019

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2017
Geo-Teaser: Geo-Temporal Sequential Embedding Rank for Point-of-interest Recommendation.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Improving recommendation accuracy using networks of substitutable and complementary products.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

It's about time! Modeling customer behaviors as the secretary problem in daily deal websites.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
GT-SEER: Geo-Temporal SEquential Embedding Rank for Point-of-interest Recommendation.
CoRR, 2016

Trust-aware Peer Assessment using Multi-armed Bandit Algorithms.
Proceedings of the 25th International Conference on World Wide Web, 2016

Modeling the Homophily Effect between Links and Communities for Overlapping Community Detection.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Locality-Sensitive Linear Bandit Model for Online Social Recommendation.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Constructing Reliable Gradient Exploration for Online Learning to Rank.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Exploiting homophily-based implicit social network to improve recommendation performance.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014


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