Jiashu Zhao

According to our database, Jiashu Zhao authored at least 43 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A bias study and an unbiased deep neural network for recommender systems.

Li He, Jiashu Zhao, Yulong Gu, Mitchell Elbaz, Zhuoye Ding

Web Intell., 2024

GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval.

Wonduk Seo, Haojie Zhang, Yueyang Zhang, Changhao Zhang, Songyao Duan, Lixin Su, Daiting Shi, Jiashu Zhao, Dawei Yin

CoRR, 2024

Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks.

Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin

CoRR, 2024

Whole Page Unbiased Learning to Rank.

Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin

Proceedings of the ACM on Web Conference 2024, 2024

Text-Video Retrieval via Multi-Modal Hypergraph Networks.

Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

LT²R: Learning to Online Learning to Rank for Web Search.

Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Disentangled Contrastive Collaborative Filtering.

Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Sequential Recommendation with User Evolving Preference Decomposition.

Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Jingsen Zhang, Dawei Yin

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

2022

Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization.

Jiashu Zhao, Jimmy Xiangji Huang, Hongbo Deng, Yi Chang, Long Xia

ACM Trans. Inf. Syst., 2022

Whole Page Unbiased Learning to Rank.

Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin

CoRR, 2022

Sequential Recommendation with User Evolving Preference Decomposition.

Weiqi Shao, Xu Chen, Long Xia, Jiashu Zhao, Dawei Yin

CoRR, 2022

A GNN-based Multi-task Learning Framework for Personalized Video Search.

Li Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyu, Dawei Yin, Haiping Lu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Contrastive Meta Learning with Behavior Multiplicity for Recommendation.

Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Hypergraph Contrastive Collaborative Filtering.

Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search.

Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation.

Boming Zhao, Bangbang Yang, Zhenyang Li, Zuoyue Li, Guofeng Zhang, Jiashu Zhao, Dawei Yin, Zhaopeng Cui, Hujun Bao

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification.

Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Sequential Recommendation with Adaptive Preference Disentanglement.

Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin

CoRR, 2021

Learning Reinforced Dynamic Representations for Sequential Recommendation.

Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin

CoRR, 2021

Unbiased Learning to Rank in Feeds Recommendation.

Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang

Proceedings of the WSDM '21, 2021

Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks.

Chao Huang, Jiashu Zhao, Dawei Yin

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism.

Li Wang, Peipei Li, Kai Xiong, Jiashu Zhao, Rui Lin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation.

Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A topic-based term frequency normalization framework to enhance probabilistic information retrieval.

Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Zhiwei Ying, Yuqi Wang

Comput. Intell., 2020

Wilfrid Laurier University at the NIST TREC 2020: Conversational Assistance Track.

Max Niebergall, Jiashu Zhao

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

2019

MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting.

Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin

Proceedings of the World Wide Web Conference, 2019

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics.

Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding.

Jiashu Zhao, Hongshen Chen, Dawei Yin

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Fine-Grained Product Categorization in E-commerce.

Hongshen Chen, Jiashu Zhao, Dawei Yin

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Mining authoritative and topical evidence from the blogosphere for improving opinion retrieval.

Jimmy Xiangji Huang, Ben He, Jiashu Zhao

Inf. Syst., 2018

A New Term Frequency Normalization Model for Probabilistic Information Retrieval.

Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2016

TopPRF: A Probabilistic Framework for Integrating Topic Space into Pseudo Relevance Feedback.

Jun Miao, Jimmy Xiangji Huang, Jiashu Zhao

ACM Trans. Inf. Syst., 2016

A Simple Enhancement for Ad-hoc Information Retrieval via Topic Modelling.

Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He, Po Hu

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2014

Modeling Term Associations for Probabilistic Information Retrieval.

Jiashu Zhao, Jimmy Xiangji Huang, Zheng Ye

ACM Trans. Inf. Syst., 2014

An enhanced context-sensitive proximity model for probabilistic information retrieval.

Jiashu Zhao, Jimmy Xiangji Huang

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2012

Rewarding term location information to enhance probabilistic information retrieval.

Jiashu Zhao, Jimmy Xiangji Huang, Shicheng Wu

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

A Bayesian-based prediction model for personalized medical health care.

Jiashu Zhao, Jimmy Xiangji Huang, Xiaohua Hu, C. Joseph Kurian, William Melek

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011

Overview of the TREC 2011 Chemical IR Track.

Mihai Lupu, Jiashu Zhao, Jimmy X. Huang, Harsha Gurulingappa, Juliane Fluck, Marc Zimmermann, Igor V. Filippov, John Tait

Proceedings of The Twentieth Text REtrieval Conference, 2011

CRTER: using cross terms to enhance probabilistic information retrieval.

Jiashu Zhao, Jimmy Xiangji Huang, Ben He

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

2009

York University at TREC 2009: Chemical Track.

Jiashu Zhao, Xiangji Huang, Zheng Ye, Jianhan Zhu

Proceedings of The Eighteenth Text REtrieval Conference, 2009

Diverging patterns: discovering significant frequency change dissimilarities in large databases.

Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Discovering Temporal Associations among Significant Changes in Gene Expression.

Hashmat Rohian, Aijun An, Jiashu Zhao, Xiangji Huang

Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2007

Immunity diversity based multi-agent intrusion detection.

Yu Gu, Jiashu Zhao, Dong Liang, Zongben Xu

Proceedings of the IEEE Congress on Evolutionary Computation, 2007