INSPIRE Lab Transforming Information Retrieval with Cutting-Edge Research

Research

Our research focuses on advancing natural language processing (NLP), machine learning, and information retrieval through cutting-edge innovations. By integrating large language models, deep learning, and probabilistic methods, we aim to solve real-world challenges in semantic search, personalized recommendations, and unbiased ranking systems. Our work drives impactful solutions in diverse fields, including e-commerce, healthcare, and digital forensics, paving the way for adaptive, user-centric intelligent systems.

Highlighted

Hypergraph Contrastive Collaborative Filtering
Hypergraph Contrastive Collaborative Filtering
Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Huang
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval  ·  06 Jul 2022  ·  doi:10.1145/3477495.3532058

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2024-05-13

Whole Page Unbiased Learning to Rank
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 Web Conference 2024  ·  13 May 2024  ·  doi:10.1145/3589334.3645474
LT sup 2 sup R: Learning to Online Learning to Rank for Web Search
LT2R: Learning to Online Learning to Rank for Web Search
Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li
2024 IEEE 40th International Conference on Data Engineering (ICDE)  ·  13 May 2024  ·  doi:10.1109/ICDE60146.2024.00360

2024-03-26

A bias study and an unbiased deep neural network for recommender systems
A bias study and an unbiased deep neural network for recommender systems
Li He, Jiashu Zhao, Yulong Gu, Mitchell Elbaz, Zhuoye Ding
Web Intelligence  ·  26 Mar 2024  ·  doi:10.3233/WEB-230036

2024-03-04

Text-Video Retrieval via Multi-Modal Hypergraph Networks
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  ·  04 Mar 2024  ·  doi:10.1145/3616855.3635757

2024-01-01

GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval
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
arXiv  ·  01 Jan 2024  ·  doi:10.48550/arXiv.2409.10909
Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks
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
arXiv  ·  01 Jan 2024  ·  doi:10.48550/arXiv.2401.03177

2023-11-26

Sequential Recommendation with User Evolving Preference Decomposition
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  ·  26 Nov 2023  ·  doi:10.1145/3624918.3625312

2023-07-18

Disentangled Contrastive Collaborative Filtering
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  ·  18 Jul 2023  ·  doi:10.1145/3539618.3591665

2023-06-30

Region-based Convolutional Neural Network R-CNN architecture for auto-cropping of pancreatic computed tomography
Region-based Convolutional Neural Network (R-CNN) architecture for auto-cropping of pancreatic computed tomography
Mamta Juneja, Gurunameh Singh, Chirag Chanana, Rishabh Verma, Niharika Thakur, Prashant Jindal
The Imaging Science Journal  ·  30 Jun 2023  ·  doi:10.1080/13682199.2023.2226413

2023-05-01

Autoencoder-based dense denoiser and block-based wiener filter for noise reduction of optical coherence tomography
Autoencoder-based dense denoiser and block-based wiener filter for noise reduction of optical coherence tomography
Mamta Juneja, Gurunameh Singh Chhatwal, Shatabarto Bhattacharya, Niharika Thakur, Prashant Jindal
Computers and Electrical Engineering  ·  01 May 2023  ·  doi:10.1016/j.compeleceng.2023.108708

2023-01-01

Disentangled Contrastive Collaborative Filtering
Disentangled Contrastive Collaborative Filtering
Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
arXiv  ·  01 Jan 2023  ·  doi:10.48550/arXiv.2305.02759
SemKnowNews: A Semantically Inclined Knowledge Driven Approach for Multi-source Aggregation and Recommendation of News with a Focus on Personalization
SemKnowNews: A Semantically Inclined Knowledge Driven Approach for Multi-source Aggregation and Recommendation of News with a Focus on Personalization
Gurunameh Singh Chhatwal, Gerard Deepak, J. Sheeba Priyadarshini, A. Santhanavijayan
Communications in Computer and Information Science  ·  01 Jan 2023  ·  doi:10.1007/978-3-031-27609-5_21

2022-10-10

Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation
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 30th ACM International Conference on Multimedia  ·  10 Oct 2022  ·  doi:10.1145/3503161.3548125

2022-07-06

H-ERNIE
H-ERNIE
Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval  ·  06 Jul 2022  ·  doi:10.1145/3477495.3531986
Hypergraph Contrastive Collaborative Filtering
Hypergraph Contrastive Collaborative Filtering
Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Huang
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval  ·  06 Jul 2022  ·  doi:10.1145/3477495.3532058

2022-02-11

A GNN-based Multi-task Learning Framework for Personalized Video Search
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 Fifteenth ACM International Conference on Web Search and Data Mining  ·  11 Feb 2022  ·  doi:10.1145/3488560.3498507
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining  ·  11 Feb 2022  ·  doi:10.1145/3488560.3498527

2022-01-13

Gumble Softmax For User Behavior Modeling
Gumble Softmax For User Behavior Modeling
Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin
arXiv  ·  13 Jan 2022  ·  arXiv:2112.02787

2022-01-01

Whole Page Unbiased Learning to Rank
Whole Page Unbiased Learning to Rank
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin
arXiv  ·  01 Jan 2022  ·  doi:10.48550/arXiv.2210.10718
Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation
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
arXiv  ·  01 Jan 2022  ·  doi:10.48550/arXiv.2207.06899
Hypergraph Contrastive Collaborative Filtering
Hypergraph Contrastive Collaborative Filtering
Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Xiangji Huang
arXiv  ·  01 Jan 2022  ·  doi:10.48550/arXiv.2204.12200
Sequential Recommendation with User Evolving Preference Decomposition
Sequential Recommendation with User Evolving Preference Decomposition
Weiqi Shao, Xu Chen, Long Xia, Jiashu Zhao, Dawei Yin
arXiv  ·  01 Jan 2022  ·  doi:10.48550/arXiv.2203.16942
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
arXiv  ·  01 Jan 2022  ·  doi:10.48550/arXiv.2202.08523
Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification
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
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-00123-9_57
Integrative KnowGen: Integrative Knowledge Base Generation for Criminology as a Domain of Choice
Integrative KnowGen: Integrative Knowledge Base Generation for Criminology as a Domain of Choice
Gurunameh Singh Chhatwal, Gerard Deepak
Lecture Notes in Networks and Systems  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-02447-4_49
IEESWPR: An Integrative Entity Enrichment Scheme for Socially Aware Web Page Recommendation
IEESWPR: An Integrative Entity Enrichment Scheme for Socially Aware Web Page Recommendation
Gurunameh Singh Chhatwal, Gerard Deepak
Lecture Notes in Networks and Systems  ·  01 Jan 2022  ·  doi:10.1007/978-981-19-2211-4_21

2021-12-30

Are Topics Interesting or Not An LDA-based Topic-graph Probabilistic Model for Web Search Personalization
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 Transactions on Information Systems  ·  30 Dec 2021  ·  doi:10.1145/3476106

2021-10-26

Modeling Heterogeneous Graph Network on Fraud Detection
Modeling Heterogeneous Graph Network on Fraud Detection
Li Wang, Peipei Li, Kai Xiong, Jiashu Zhao, Rui Lin
Proceedings of the 30th ACM International Conference on Information & Knowledge Management  ·  26 Oct 2021  ·  doi:10.1145/3459637.3482277

2021-10-11

Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation
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
arXiv  ·  11 Oct 2021  ·  arXiv:2110.03996

2021-05-18

Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation
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 AAAI Conference on Artificial Intelligence  ·  18 May 2021  ·  doi:10.1609/aaai.v35i5.16534

2021-04-01

Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks
Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks
Chao Huang, Jiashu Zhao, Dawei Yin
2021 IEEE 37th International Conference on Data Engineering (ICDE)  ·  01 Apr 2021  ·  doi:10.1109/ICDE51399.2021.00281

2021-03-08

Unbiased Learning to Rank in Feeds Recommendation
Unbiased Learning to Rank in Feeds Recommendation
Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang
Proceedings of the 14th ACM International Conference on Web Search and Data Mining  ·  08 Mar 2021  ·  doi:10.1145/3437963.3441751

2019-11-20

A topic based term frequency normalization framework to enhance probabilistic information retrieval
A topic‐based term frequency normalization framework to enhance probabilistic information retrieval
Fanghong Jian, Jimmy X. Huang, Jiashu Zhao, Zhiwei Ying, Yuqi Wang
Computational Intelligence  ·  20 Nov 2019  ·  doi:10.1111/coin.12248

2019-11-03

Fine-Grained Product Categorization in E-commerce
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  ·  03 Nov 2019  ·  doi:10.1145/3357384.3358170
A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding
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  ·  03 Nov 2019  ·  doi:10.1145/3357384.3358055

2019-07-25

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics
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  ·  25 Jul 2019  ·  doi:10.1145/3292500.3330790

2019-05-13

MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting
MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting
Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Dawei Yin, Nitesh Chawla
The World Wide Web Conference  ·  13 May 2019  ·  doi:10.1145/3308558.3313730

2018-11-01

Mining authoritative and topical evidence from the blogosphere for improving opinion retrieval
Mining authoritative and topical evidence from the blogosphere for improving opinion retrieval
Jimmy Xiangji Huang, Ben He, Jiashu Zhao
Information Systems  ·  01 Nov 2018  ·  doi:10.1016/j.is.2018.02.002

2018-06-27

A New Term Frequency Normalization Model for Probabilistic Information Retrieval
A New Term Frequency Normalization Model for Probabilistic Information Retrieval
Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval  ·  27 Jun 2018  ·  doi:10.1145/3209978.3210147

2016-08-29

TopPRF
TopPRF
Jun Miao, Jimmy Xiangji Huang, Jiashu Zhao
ACM Transactions on Information Systems  ·  29 Aug 2016  ·  doi:10.1145/2956234

2016-07-07

A Simple Enhancement for Ad-hoc Information Retrieval via Topic Modelling
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  ·  07 Jul 2016  ·  doi:10.1145/2911451.2914748

2014-07-03

An enhanced context-sensitive proximity model for probabilistic information retrieval
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 & development in information retrieval  ·  03 Jul 2014  ·  doi:10.1145/2600428.2609527

2014-04-01

Modeling Term Associations for Probabilistic Information Retrieval
Modeling Term Associations for Probabilistic Information Retrieval
Jiashu Zhao, Jimmy Xiangji Huang, Zheng Ye
ACM Transactions on Information Systems  ·  01 Apr 2014  ·  doi:10.1145/2590988

2012-10-01

A Bayesian-based prediction model for personalized medical health care
A Bayesian-based prediction model for personalized medical health care
Jiashu Zhao, Jimmy Xiangji Huang, Xiaohua Hu, Joseph Kurian, William Melek
2012 IEEE International Conference on Bioinformatics and Biomedicine  ·  01 Oct 2012  ·  doi:10.1109/BIBM.2012.6392623

2012-08-12

Rewarding term location information to enhance probabilistic information retrieval
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  ·  12 Aug 2012  ·  doi:10.1145/2348283.2348507

2011-07-24

CRTER
CRTER
Jiashu Zhao, Jimmy Xiangji Huang, Ben He
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval  ·  24 Jul 2011  ·  doi:10.1145/2009916.2009941

2009-11-02

Diverging patterns
Diverging patterns
Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang
Proceedings of the 18th ACM conference on Information and knowledge management  ·  02 Nov 2009  ·  doi:10.1145/1645953.1646148

2009-11-01

Discovering Temporal Associations among Significant Changes in Gene Expression
Discovering Temporal Associations among Significant Changes in Gene Expression
Hashmat Rohian, Aijun An, Jiashu Zhao, Xiangji Huang
2009 IEEE International Conference on Bioinformatics and Biomedicine  ·  01 Nov 2009  ·  doi:10.1109/BIBM.2009.51

2007-09-01

Immunity Diversity Based Multi-Agent Intrusion Detection
Immunity Diversity Based Multi-Agent Intrusion Detection
Yu Gu, Jiashu Zhao, Dong Liang, Zongben Xu
2007 IEEE Congress on Evolutionary Computation  ·  01 Sep 2007  ·  doi:10.1109/CEC.2007.4424912