WARank: Weighted Asymmetric Ranking for Approximate Nearest Neighbor Search. - Yuan Cao 005; Heng Qi; Keqiu Li; Yingwei Jin; Zhiyang Li 001 (CIT/IUCC/DASC/PICom, 2015)

Multiple Query-Independent Values Based Asymmetric Ranking for Approximate Nearest Neighbor Search. - Yuan Cao 005; Heng Qi; Keqiu Li; Milos Stojmenovic (Trustcom/BigDataSE/ISPA, 2016)

Hash Ranking With Weighted Asymmetric Distance for Image Search. - Yuan Cao 005; Heng Qi; Jien Kato; Keqiu Li (IEEE Trans. Computational Imaging, 2017)

Binary Hashing for Approximate Nearest Neighbor Search on Big Data: A Survey. - Yuan Cao 005; Heng Qi; Wenrui Zhou; Jien Kato; Keqiu Li; Xiulong Liu; Jie Gui (IEEE Access, 2018)

An Effective Network Intrusion Detection Framework Based on Learning to Hash. - Wenrui Zhou; Yuan Cao 005; Heng Qi; Junxiao Wang (SmartIoT, 2019)

General Distributed Hash Learning on Image Descriptors for $k$-Nearest Neighbor Search. - Yuan Cao 005; Heng Qi; Jie Gui; Shuai Li 002; Keqiu Li (IEEE Signal Process. Lett., 2019)

Scale balance for prototype-based binary quantization. - Zhiyang Li 001; Wenyu Qu; Yuan Cao 005; Heng Qi; Milos Stojmenovic; Jia Hu 001 (Pattern Recognit., 2020)

A Comprehensive Survey on Image Dehazing Based on Deep Learning. - Jie Gui; Xiaofeng Cong; Yuan Cao 005; Wenqi Ren; Jun Zhang 011; Jing Zhang 037; Dacheng Tao (IJCAI, 2021)

Deep Cross-Modal Supervised Hashing Based on Joint Semantic Matrix. - Na Chen; Yuan Cao 005; Chao Liu 008 (NSS, 2021)

Fast kNN Search in Weighted Hamming Space With Multiple Tables. - Jie Gui; Yuan Cao 005; Heng Qi; Keqiu Li; Jieping Ye; Chao Liu 008; Xiaowei Xu 005 (IEEE Trans. Image Process., 2021)

Learning to Hash With Dimension Analysis Based Quantizer for Image Retrieval. - Yuan Cao 005; Heng Qi; Jie Gui; Keqiu Li; Yuan Yan Tang; James Tin-Yau Kwok (IEEE Trans. Multim., 2021)

Hash Learning With Variable Quantization for Large-Scale Retrieval. - Yuan Cao 005; Sheng Chen 008; Jie Gui; Heng Qi; Zhiyang Li 001; Chao Liu 008 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Scalable Distributed Hashing for Approximate Nearest Neighbor Search. - Yuan Cao 005; Junwei Liu; Heng Qi; Jie Gui; Keqiu Li; Jieping Ye; Chao Liu 008 (IEEE Trans. Image Process., 2022)

Fast Online Hashing with Multi-Label Projection. - Wenzhe Jia; Yuan Cao 005; Junwei Liu; Jie Gui (AAAI, 2023)

Graph Structure Learning on User Mobility Data for Social Relationship Inference. - Guangming Qin; Lexue Song; Yanwei Yu; Chao Huang 001; Wenzhe Jia; Yuan Cao 005; Junyu Dong (AAAI, 2023)

Generative Adversarial Network Based Asymmetric Deep Cross-Modal Unsupervised Hashing. - Yuan Cao 005; Yaru Gao; Na Chen; Jiacheng Lin; Sheng Chen 008 (ICA3PP (1), 2023)

Deep Hash Learning of Feature-Invariant Representation for Single-Label and Multi-label Retrieval. - Yuan Cao 005; Xinzheng Shang; Junwei Liu; Chengzhi Qian; Sheng Chen 008 (ICA3PP (1), 2023)

A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning. - Jie Gui; Xiaofeng Cong; Yuan Cao 005; Wenqi Ren; Jun Zhang 011; Jing Zhang 037; Jiuxin Cao; Dacheng Tao (ACM Comput. Surv., 2023)

Taxonomy Driven Fast Adversarial Training. - Kun Tong; Chengze Jiang; Jie Gui; Yuan Cao 005 (AAAI, 2024)

Hypergraph Hash Learning for Efficient Trajectory Similarity Computation. - Yuan Cao 005; Lei Li; Xiangru Chen; Xue Xu; Zuojin Huang; Yanwei Yu (CIKM, 2024)

Self-supervised Adversarial Hashing for Large-scale Image Retrieval. - Yuan Cao 005; Xue Xu; Junwei Liu; Xiangru Chen (ICPADS, 2024)

Targeted Universal Adversarial Attack on Deep Hash Networks. - Fanlei Meng; Xiangru Chen; Yuan Cao 005 (ICMR, 2024)

A Privacy-Preserving Cross-Modal Retrieval Scheme Based on CLIP and Deep Hashing. - Yuan Cao 005; Hui Zhang; Xinzheng Shang (ICASSP, 2025)

Self-Supervised Trajectory Representation Learning with Multi-Scale Spatio-Temporal Feature Exploration. - Hong Xia; Xiao Zhang; Yuan Cao 005; Lei Cao 004; Yanwei Yu; Junyu Dong (ICDE, 2025)

Improving Fast Adversarial Training via Self-Knowledge Guidance. - Chengze Jiang; Junkai Wang; Minjing Dong; Jie Gui; Xinli Shi; Yuan Cao 005; Yuan Yan Tang; James Tin-Yau Kwok (IEEE Trans. Inf. Forensics Secur., 2025)

Divide and Conquer: Frequency-Aware Contrastive Adversarial Training for Robust Point Cloud Classification. - Yu-Xin Zhang 004; Jie Gui; Minjing Dong; Xiaofeng Cong; Yuan Cao 005; Xin Gong; Yuan Yan Tang; James Tin-Yau Kwok (IEEE Trans. Inf. Forensics Secur., 2025)

Structure-Aware Automatic Channel Pruning by Searching with Graph Embedding. - Zifan Liu; Yuan Cao 005; Yanwei Yu; Heng Qi; Jie Gui (CoRR, 2025)

TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation. - Xiao Zhang; Xingyu Zhao 006; Hong Xia; Yuan Cao 005; Guiyuan Jiang; Junyu Dong; Yanwei Yu (CoRR, 2025)

A Privacy-Preserving Large-Scale Image Retrieval Framework With Vision GNN Hashing. - Yuan Cao 005; Fanlei Meng; Xinzheng Shang; Jie Gui; Yuan Yan Tang (IEEE Trans. Big Data, 2025)