Multi-stage vector quantization towards low bit rate visual search. - Jie Chen 006; Ling-Yu Duan; Rongrong Ji; Zhe Wang 019 (ICIP, 2012)

Component hashing of variable-length binary aggregated descriptors for fast image search. - Zhe Wang 019; Ling-Yu Duan; Jie Lin 001; Tiejun Huang 001; Wen Gao 001; Miroslaw Bober (ICIP, 2014)

Selective aggregated descriptors for robust mobile image retrieval. - Jie Lin 001; Zhe Wang 019; Yitong Wang; Vijay Chandrasekhar 001; Liyuan Li (APSIPA, 2015)

Optimizing Binary Fisher Codes for Visual Search. - Zhe Wang 019; Ling-Yu Duan; Jie Lin 001; Jie Chen 006; Tiejun Huang 001; Wen Gao 001 (DCC, 2015)

Hierarchical multi-VLAD for image retrieval. - Yitong Wang; Ling-Yu Duan; Jie Lin 001; Zhe Wang 019; Tiejun Huang 001 (ICIP, 2015)

Hamming Compatible Quantization for Hashing. - Zhe Wang 019; Ling-Yu Duan; Jie Lin 001; Xiaofang Wang; Tiejun Huang 001; Wen Gao 001 (IJCAI, 2015)

Weighted Component Hashing of Binary Aggregated Descriptors for Fast Visual Search. - Ling-Yu Duan; Jie Lin 001; Zhe Wang 019; Tiejun Huang 001; Wen Gao 001 (IEEE Trans. Multim., 2015)

Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Compact Learn Binary Codes. - Zhe Wang 019; Ling-Yu Duan; Tiejun Huang 001; Wen Gao 001 (AAAI, 2016)

To Project More or to Quantize More: Minimize Reconstruction Bias for Learning Compact Binary Codes. - Zhe Wang 019; Ling-Yu Duan; Junsong Yuan 001; Tiejun Huang 001; Wen Gao 001 (IJCAI, 2016)

A Compact Binary Aggregated Descriptor via Dual Selection for Visual Search. - Yuwei Wu 001; Zhe Wang 019; Junsong Yuan 001; Ling-Yu Duan (ACM Multimedia, 2016)

Overview of the MPEG-CDVS Standard. - Ling-Yu Duan; Vijay Chandrasekhar 001; Jie Chen 006; Jie Lin 001; Zhe Wang 019; Tiejun Huang 001; Bernd Girod; Wen Gao 001 (IEEE Trans. Image Process., 2016)

A Multi-Block N-ary trie structure for exact r-neighbour search in hamming space. - Yicheng Huang; Ling-Yu Duan; Zhe Wang 019; Jie Lin 001; Vijay Chandrasekhar 001; Tiejun Huang 001 (ICIP, 2017)

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. - Zhe Wang 019; Kingsley Kuan; Mathieu Ravaut; Gaurav Manek; Sibo Song; Fang Yuan; Kim Seokhwan; Nancy F. Chen; Luis Fernando D'Haro; Anh Tuan Luu; Hongyuan Zhu; Zeng Zeng; et al. (CoRR, 2017)

End-to-End Video Classification with Knowledge Graphs. - Fang Yuan; Zhe Wang 019; Jie Lin 001; Luis Fernando D'Haro; Jung-Jae Kim 001; Zeng Zeng; Vijay Chandrasekhar 001 (CoRR, 2017)

Minimizing Reconstruction Bias Hashing via Joint Projection Learning and Quantization. - Ling-Yu Duan; Yuwei Wu 001; Yicheng Huang; Zhe Wang 019; Junsong Yuan 001; Wen Gao 001 (IEEE Trans. Image Process., 2018)

MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. - Lile Cai; Bin Zhao; Zhe Wang 019; Jie Lin 001; Chuan Sheng Foo; Mohamed M. Sabry Aly; Vijay Chandrasekhar 001 (CVPR, 2019)

Beyond Ranking Loss: Deep Holographic Networks for Multi-Label Video Search. - Zhuo Chen 006; Jie Lin 001; Zhe Wang 019; Vijay Chandrasekhar 001; Weisi Lin (ICIP, 2019)

TransN: Heterogeneous Network Representation Learning by Translating Node Embeddings. - Zijian Li 002; Wenhao Zheng 001; Xueling Lin; Ziyuan Zhao; Zhe Wang 019; Yue Wang 012; Xun Jian 001; Lei Chen 002; Qiang Yan; Tiezheng Mao (ICDE, 2020)

HowSim: A General and Effective Similarity Measure on Heterogeneous Information Networks. - Yue Wang 012; Zhe Wang 019; Ziyuan Zhao; Zijian Li 002; Xun Jian 001; Lei Chen 002; Jianchun Song (ICDE, 2020)

Efficient Tunstall Decoder for Deep Neural Network Compression. - Chunyun Chen; Zhe Wang 019; Xiaowei Chen; Jie Lin 001; Mohamed M. Sabry Aly (DAC, 2021)

FFConv: Fast Factorized Neural Network Inference on Encrypted Data. - Yuxiao Lu; Jie Lin 001; Chao Jin 002; Zhe Wang 019; Khin Mi Mi Aung; Xiaoli Li 001 (CoRR, 2021)

RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization. - Zhe Wang 019; Jie Lin 001; Xue Geng; Mohamed M. Sabry Aly; Vijay Chandrasekhar 001 (ECCV (12), 2022)

Channel-Wise Bit Allocation for Deep Visual Feature Quantization. - Wei Wang 283; Zhuo Chen 006; Zhe Wang 019; Jie Lin 001; Long Xu 001; Weisi Lin (ICIP, 2022)

Transform Quantization for CNN Compression. - Sean I. Young; Zhe Wang 019; David Taubman; Bernd Girod (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Effective Similarity Search on Heterogeneous Networks: A Meta-Path Free Approach. - Yue Wang 012; Zhe Wang 019; Ziyuan Zhao; Zijian Li 002; Xun Jian 001; Hao Xin; Lei Chen 002; Jianchun Song; Zhenhong Chen; Meng Zhao (IEEE Trans. Knowl. Data Eng., 2022)

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. - Kaixin Xu; Zhe Wang 019; Xue Geng; Min Wu 008; Xiaoli Li 001; Weisi Lin (ICCV, 2023)

Metagrad: Adaptive Gradient Quantization with Hypernetworks. - Kaixin Xu; Alina Hui Xiu Lee; Ziyuan Zhao; Zhe Wang 019; Min Wu 008; Weisi Lin (ICIP, 2023)

Post-Training Quantization for Vision Transformer in Transformed Domain. - Kai Feng; Zhuo Chen 006; Fei Gao 019; Zhe Wang 019; Long Xu 001; Weisi Lin (ICME, 2023)

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. - Kaixin Xu; Zhe Wang 019; Xue Geng; Jie Lin 001; Min Wu 008; Xiaoli Li 001; Weisi Lin (CoRR, 2023)

LPViT: Low-Power Semi-structured Pruning for Vision Transformers. - Kaixin Xu; Zhe Wang 019; Chunyun Chen; Xue Geng; Jie Lin 001; Xulei Yang; Min Wu 008; Xiaoli Li 001; Weisi Lin (ECCV (71), 2024)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. - Xue Geng; Zhe Wang 019; Chunyun Chen; Qing Xu 015; Kaixin Xu; Chao Jin 002; Manas Gupta; Xulei Yang; Zhenghua Chen; Mohamed M. Sabry Aly; Jie Lin 001; Min Wu 008; et al. (CoRR, 2024)

DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection. - Kaixin Xu; Qingtian Feng; Hao Chen; Zhe Wang 019; Xue Geng; Xulei Yang; Min Wu 008; Xiaoli Li 001; Weisi Lin (CoRR, 2024)

An Efficient 3D Convolutional Neural Network with Channel-wise, Spatial-grouped, and Temporal Convolutions. - Zhe Wang 019; Xulei Yang (CoRR, 2025)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. - Xue Geng; Zhe Wang 019; Chunyun Chen; Qing Xu 015; Kaixin Xu; Jin Chao; Manas Gupta; Xulei Yang; Zhenghua Chen; Mohamed M. Sabry Aly; Jie Lin 001; Min Wu 008; et al. (IEEE Trans. Neural Networks Learn. Syst., 2025)

AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models. - Kai Li; Can Shen; Yile Liu; Jirui Han; Kelong Zheng; Xuechao Zou; Zhe Wang 019; Xingjian Du; Shun Zhang; Hanjun Luo; Yingbin Jin; Xinxin Xing; et al. (CoRR, 2025)