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ORCIDJiashu Zhao
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2020 – today
- 2024
[j6]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): 15-29 (2024)- [c31]Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li:
LT2R: Learning to Online Learning to Rank for Web Search. ICDE 2024: 4733-4746 - [c30]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: 369-377 - [c29]Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin:
Whole Page Unbiased Learning to Rank. WWW 2024: 1431-1440 - [i11]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 abs/2401.03177 (2024) - [i10]Wonduk Seo, Haojie Zhang, Yueyang Zhang, Changhao Zhang, Songyao Duan, Lixin Su, Daiting Shi, Jiashu Zhao, Dawei Yin:
GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval. CoRR abs/2409.10909 (2024) - 2023
- [c28]Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang:
Disentangled Contrastive Collaborative Filtering. SIGIR 2023: 1137-1146 - [c27]Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Jingsen Zhang, Dawei Yin:
Sequential Recommendation with User Evolving Preference Decomposition. SIGIR-AP 2023: 253-263 - [i9]Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang:
Disentangled Contrastive Collaborative Filtering. CoRR abs/2305.02759 (2023) - 2022
- [j5]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): 51:1-51:24 (2022) - [c26]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: 722-730 - [c25]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: 1455-1464 - [c24]Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang:
Hypergraph Contrastive Collaborative Filtering. SIGIR 2022: 70-79 - [c23]Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin:
H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search. SIGIR 2022: 1478-1489 - [c22]Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin:
Contrastive Meta Learning with Behavior Multiplicity for Recommendation. WSDM 2022: 1120-1128 - [c21]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: 1386-1394 - [i8]Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin:
Contrastive Meta Learning with Behavior Multiplicity for Recommendation. CoRR abs/2202.08523 (2022) - [i7]Weiqi Shao, Xu Chen, Long Xia, Jiashu Zhao, Dawei Yin:
Sequential Recommendation with User Evolving Preference Decomposition. CoRR abs/2203.16942 (2022) - [i6]Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Xiangji Huang:
Hypergraph Contrastive Collaborative Filtering. CoRR abs/2204.12200 (2022) - [i5]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 abs/2207.06899 (2022) - [i4]Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin:
Whole Page Unbiased Learning to Rank. CoRR abs/2210.10718 (2022) - 2021
- [c20]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: 4123-4130 - [c19]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: 1959-1968 - [c18]Chao Huang, Jiashu Zhao, Dawei Yin:
Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks. ICDE 2021: 2488-2498 - [c17]Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang:
Unbiased Learning to Rank in Feeds Recommendation. WSDM 2021: 490-498 - [i3]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 abs/2110.03996 (2021) - [i2]Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin:
Learning Reinforced Dynamic Representations for Sequential Recommendation. CoRR abs/2112.02787 (2021) - [i1]Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin:
Sequential Recommendation with Adaptive Preference Disentanglement. CoRR abs/2112.02812 (2021) - 2020
- [j4]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): 486-521 (2020) - [c16]Max Niebergall, Jiashu Zhao:
Wilfrid Laurier University at the NIST TREC 2020: Conversational Assistance Track. TREC 2020
2010 – 2019
- 2019
- [c15]Jiashu Zhao, Hongshen Chen, Dawei Yin:
A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding. CIKM 2019: 1843-1852 - [c14]Hongshen Chen, Jiashu Zhao, Dawei Yin:
Fine-Grained Product Categorization in E-commerce. CIKM 2019: 2349-2352 - [c13]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: 2613-2622 - [c12]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: 717-728 - 2018
- [j3]Jimmy Xiangji Huang, Ben He, Jiashu Zhao:
Mining authoritative and topical evidence from the blogosphere for improving opinion retrieval. Inf. Syst. 78: 199-213 (2018) - [c11]Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He:
A New Term Frequency Normalization Model for Probabilistic Information Retrieval. SIGIR 2018: 1237-1240 - 2016
- [j2]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): 22:1-22:36 (2016) - [c10]Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He, Po Hu:
A Simple Enhancement for Ad-hoc Information Retrieval via Topic Modelling. SIGIR 2016: 733-736 - 2014
- [j1]Jiashu Zhao, Jimmy Xiangji Huang, Zheng Ye:
Modeling Term Associations for Probabilistic Information Retrieval. ACM Trans. Inf. Syst. 32(2): 7:1-7:47 (2014) - [c9]Jiashu Zhao, Jimmy Xiangji Huang:
An enhanced context-sensitive proximity model for probabilistic information retrieval. SIGIR 2014: 1131-1134 - 2012
- [c8]Jiashu Zhao, Jimmy Xiangji Huang, Xiaohua Hu, C. Joseph Kurian, William Melek:
A Bayesian-based prediction model for personalized medical health care. BIBM 2012: 1-4 - [c7]Jiashu Zhao, Jimmy Xiangji Huang, Shicheng Wu:
Rewarding term location information to enhance probabilistic information retrieval. SIGIR 2012: 1137-1138 - 2011
- [c6]Jiashu Zhao, Jimmy Xiangji Huang, Ben He:
CRTER: using cross terms to enhance probabilistic information retrieval. SIGIR 2011: 155-164 - [c5]Mihai Lupu, Jiashu Zhao, Jimmy X. Huang, Harsha Gurulingappa, Juliane Fluck, Marc Zimmermann, Igor V. Filippov, John Tait:
Overview of the TREC 2011 Chemical IR Track. TREC 2011
2000 – 2009
- 2009
- [c4]Hashmat Rohian, Aijun An, Jiashu Zhao, Xiangji Huang:
Discovering Temporal Associations among Significant Changes in Gene Expression. BIBM 2009: 419-423 - [c3]Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang:
Diverging patterns: discovering significant frequency change dissimilarities in large databases. CIKM 2009: 1473-1476 - [c2]Jiashu Zhao, Xiangji Huang, Zheng Ye, Jianhan Zhu:
York University at TREC 2009: Chemical Track. TREC 2009 - 2007
- [c1]Yu Gu, Jiashu Zhao, Dong Liang, Zongben Xu:
Immunity diversity based multi-agent intrusion detection. IEEE Congress on Evolutionary Computation 2007: 3404-3409
Coauthor Index
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last updated on 2024-10-15 21:40 CEST by the dblp team
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