Block-Based Convolutional Neural Network for Image Forgery Detection. - Jianghong Zhou; Jiangqun Ni; Yuan Rao 002 (IWDW, 2017)

Diversifying Multi-aspect Search Results Using Simpson's Diversity Index. - Jianghong Zhou; Eugene Agichtein; Surya Kallumadi (CIKM, 2020)

RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search. - Jianghong Zhou; Eugene Agichtein (WWW, 2020)

De-Biased Modeling of Search Click Behavior with Reinforcement Learning. - Jianghong Zhou; Sayyed M. Zahiri; Simon Hughes; Khalifeh Al Jadda; Surya Kallumadi; Eugene Agichtein (SIGIR, 2021)

De-Biased Modelling of Search Click Behavior with Reinforcement Learning. - Jianghong Zhou; Sayyed M. Zahiri; Simon Hughes; Khalifeh Al Jadda; Surya Kallumadi; Eugene Agichtein (CoRR, 2021)

Remaining useful life prediction of bearings by a new reinforced memory GRU network. - Jianghong Zhou; Yi Qin 004; Dingliang Chen; Fuqiang Liu; Quan Qian (Adv. Eng. Informatics, 2022)

A full-process intelligent trial system for smart court. - Bin Wei 006; Kun Kuang; Changlong Sun; Jun Feng; Yating Zhang; Xinli Zhu; Jianghong Zhou; Yinsheng Zhai; Fei Wu 001 (Frontiers Inf. Technol. Electron. Eng., 2022)

Intermediate Distribution Alignment and Its Application Into Mechanical Fault Transfer Diagnosis. - Yi Qin 004; Quan Qian; Yi Wang 043; Jianghong Zhou (IEEE Trans. Ind. Informatics, 2022)

Graph Neural Network Modeling of Web Search Activity for Real-time Pandemic Forecasting. - Chen Lin; Jianghong Zhou; Jing Zhang 001; Carl Yang 001; Eugene Agichtein (ICHI, 2023)

A Deep Reinforcement Learning Approach for Interactive Search with Sentence-level Feedback. - Jianghong Zhou; Joyce C. Ho; Chen Lin; Eugene Agichtein (CoRR, 2023)

Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce. - Jianghong Zhou; Bo Liu; Jhalak Nilesh Acharya Yao Hong; Kuang-chih Lee; Musen Wen (CoRR, 2023)

Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation. - Jianghong Zhou; Weizhi Du; Md Omar Faruk Rokon; Zhaodong Wang; Jiaxuan Xu; Isha Shah; Kuang-chih Lee; Musen Wen (CoRR, 2023)

Relationship Transfer Domain Generalization Network for Rotating Machinery Fault Diagnosis Under Different Working Conditions. - Quan Qian; Jianghong Zhou; Yi Qin 004 (IEEE Trans. Ind. Informatics, 2023)

A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction. - Yi Qin 004; Jiahong Yang; Jianghong Zhou; Huayan Pu; Yongfang Mao (Adv. Eng. Informatics, 2023)

Dual-Thread Gated Recurrent Unit for Gear Remaining Useful Life Prediction. - Jianghong Zhou; Yi Qin 004; Jun Luo 006; Shilong Wang 001; Tao Zhu 003 (IEEE Trans. Ind. Informatics, 2023)

Remaining Useful Life Prediction by Distribution Contact Ratio Health Indicator and Consolidated Memory GRU. - Jianghong Zhou; Yi Qin 004; Jun Luo 006; Tao Zhu 003 (IEEE Trans. Ind. Informatics, 2023)

A systematic overview of health indicator construction methods for rotating machinery. - Jianghong Zhou; Jiahong Yang; Yi Qin 004 (Eng. Appl. Artif. Intell., 2024)

Continuous Remaining Useful Life Prediction by Self-Guided Attention Convolutional Neural Network and Memory Consciousness Adjustment. - Jianghong Zhou; Junyu Qi; Dingliang Chen; Yi Qin 004 (IEEE Internet Things J., 2024)

Knowledge vortex network for continuous bearing remaining useful life prediction. - Jianghong Zhou; Yuejian Chen; Yi Qin 004 (Adv. Eng. Informatics, 2025)

Benchmark transformation neural network for health indicator construction under time-varying speed and its application in machinery prognostics. - Jiahong Yang; Jianghong Zhou; Yi Chai; Dingliang Chen; Yi Qin 004 (Reliab. Eng. Syst. Saf., 2025)

Remaining Useful Life Prediction Methodologies With Health Indicator Dependence for Rotating Machinery: A Comprehensive Review. - Jianghong Zhou; Jiahong Yang; Sheng Xiang; Yi Qin 004 (IEEE Trans. Instrum. Meas., 2025)

Semantic Ads Retrieval at Walmart eCommerce with Language Models Progressively Trained on Multiple Knowledge Domains. - Zhaodong Wang; Weizhi Du; Md Omar Faruk Rokon; Pooshpendu Adhikary; Yanbing Xue; Jiaxuan Xu; Jianghong Zhou; Kuang-chih Lee; Musen Wen (CoRR, 2025)

Multibranch Horizontal Augmentation Network for Continuous Remaining Useful Life Prediction. - Jianghong Zhou; Jun Luo 003; Huayan Pu; Yi Qin 004 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

A Continuous Remaining Useful Life Prediction Method With Multistage Attention Convolutional Neural Network and Knowledge Weight Constraint. - Jianghong Zhou; Yi Qin 004 (IEEE Trans. Neural Networks Learn. Syst., 2025)