Jiashu Zhao

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 37

Top Topics

Information Retrieval

Collaborative Filtering

Top Venues

ACM Trans. Inf. Syst.

Publications

Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin
Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks. CoRR (2024)
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin
Whole Page Unbiased Learning to Rank. WWW (2024)
Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li
R: Learning to Online Learning to Rank for Web Search. ICDE (2024)
Li He, Jiashu Zhao, Yulong Gu, Mitchell Elbaz, Zhuoye Ding
A bias study and an unbiased deep neural network for recommender systems. Web Intell. 22 (1) (2024)
Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin
Text-Video Retrieval via Multi-Modal Hypergraph Networks. WSDM (2024)
Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
Disentangled Contrastive Collaborative Filtering. CoRR (2023)
Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
Disentangled Contrastive Collaborative Filtering. SIGIR (2023)
Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Jingsen Zhang, Dawei Yin
Sequential Recommendation with User Evolving Preference Decomposition. SIGIR-AP (2023)
Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
Contrastive Meta Learning with Behavior Multiplicity for Recommendation. CoRR (2022)
Boming Zhao, Bangbang Yang, Zhenyang Li, Zuoyue Li, Guofeng Zhang, Jiashu Zhao, Dawei Yin, Zhaopeng Cui, Hujun Bao
Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation. CoRR (2022)
Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin
H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search. SIGIR (2022)
Li Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyu, Dawei Yin, Haiping Lu
A GNN-based Multi-task Learning Framework for Personalized Video Search. WSDM (2022)
Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Xiangji Huang
Hypergraph Contrastive Collaborative Filtering. CoRR (2022)
Boming Zhao, Bangbang Yang, Zhenyang Li, Zuoyue Li, Guofeng Zhang, Jiashu Zhao, Dawei Yin, Zhaopeng Cui, Hujun Bao
Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation. ACM Multimedia (2022)
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin
Whole Page Unbiased Learning to Rank. CoRR (2022)
Jiashu Zhao, Jimmy Xiangji Huang, Hongbo Deng, Yi Chang, Long Xia
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization. ACM Trans. Inf. Syst. 40 (3) (2022)
Weiqi Shao, Xu Chen, Long Xia, Jiashu Zhao, Dawei Yin
Sequential Recommendation with User Evolving Preference Decomposition. CoRR (2022)
Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang
Hypergraph Contrastive Collaborative Filtering. SIGIR (2022)
Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi
Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification. DASFAA (1) (2022)
Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
Contrastive Meta Learning with Behavior Multiplicity for Recommendation. WSDM (2022)
Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. CoRR (2021)
Chao Huang, Jiashu Zhao, Dawei Yin
Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks. ICDE (2021)
Li Wang, Peipei Li, Kai Xiong, Jiashu Zhao, Rui Lin
Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism. CIKM (2021)
Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin
Learning Reinforced Dynamic Representations for Sequential Recommendation. CoRR (2021)
Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin
Sequential Recommendation with Adaptive Preference Disentanglement. CoRR (2021)
Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang
Unbiased Learning to Rank in Feeds Recommendation. WSDM (2021)
Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. AAAI (2021)
Max Niebergall, Jiashu Zhao
Wilfrid Laurier University at the NIST TREC 2020: Conversational Assistance Track. TREC (2020)
Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Zhiwei Ying, Yuqi Wang
A topic-based term frequency normalization framework to enhance probabilistic information retrieval. Comput. Intell. 36 (2) (2020)
Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin
MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. WWW (2019)
Hongshen Chen, Jiashu Zhao, Dawei Yin
Fine-Grained Product Categorization in E-commerce. CIKM (2019)
Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla
Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. KDD (2019)
Jiashu Zhao, Hongshen Chen, Dawei Yin
A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding. CIKM (2019)
Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He
A New Term Frequency Normalization Model for Probabilistic Information Retrieval. SIGIR (2018)
Jimmy Xiangji Huang, Ben He, Jiashu Zhao
Mining authoritative and topical evidence from the blogosphere for improving opinion retrieval. Inf. Syst. 78 (2018)
Jun Miao, Jimmy Xiangji Huang, Jiashu Zhao
TopPRF: A Probabilistic Framework for Integrating Topic Space into Pseudo Relevance Feedback. ACM Trans. Inf. Syst. 34 (4) (2016)
Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He, Po Hu
A Simple Enhancement for Ad-hoc Information Retrieval via Topic Modelling. SIGIR (2016)
Jiashu Zhao, Jimmy Xiangji Huang, Zheng Ye
Modeling Term Associations for Probabilistic Information Retrieval. ACM Trans. Inf. Syst. 32 (2) (2014)
Jiashu Zhao, Jimmy Xiangji Huang
An enhanced context-sensitive proximity model for probabilistic information retrieval. SIGIR (2014)
Jiashu Zhao, Jimmy Xiangji Huang, Xiaohua Hu, C. Joseph Kurian, William Melek
A Bayesian-based prediction model for personalized medical health care. BIBM (2012)
Jiashu Zhao, Jimmy Xiangji Huang, Shicheng Wu
Rewarding term location information to enhance probabilistic information retrieval. SIGIR (2012)
Mihai Lupu, Jiashu Zhao, Jimmy Huang, Harsha Gurulingappa, Juliane Fluck, Marc Zimmermann, Igor V. Filippov, John Tait
Overview of the TREC 2011 Chemical IR Track. TREC (2011)
Jiashu Zhao, Jimmy Xiangji Huang, Ben He
CRTER: using cross terms to enhance probabilistic information retrieval. SIGIR (2011)
Jiashu Zhao, Xiangji Huang, Zheng Ye, Jianhan Zhu
York University at TREC 2009: Chemical Track. TREC (2009)
Hashmat Rohian, Aijun An, Jiashu Zhao, Xiangji Huang
Discovering Temporal Associations among Significant Changes in Gene Expression. BIBM (2009)
Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang
Diverging patterns: discovering significant frequency change dissimilarities in large databases. CIKM (2009)
Yu Gu, Jiashu Zhao, Dong Liang, Zongben Xu
Immunity diversity based multi-agent intrusion detection. IEEE Congress on Evolutionary Computation (2007)