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Zhe Wang 0019
Person information
- affiliation: Peking University, Beijing, China
Other persons with the same name
- Zhe Wang — disambiguation page
- Zhe Wang 0001
— Griffith University, School of Information and Communication Technology, Australia
- Zhe Wang 0002
- Zhe Wang 0003
- Zhe Wang 0004 — Columbia University, Department of Electrical Engineering, New York, NY, USA
- Zhe Wang 0005
- Zhe Wang 0006
- Zhe Wang 0007 — Jilin University, College of Computer Science and Technology, Changchun, China
- Zhe Wang 0008
- Zhe Wang 0009 — University of Reading, UK
- Zhe Wang 0010
- Zhe Wang 0011
- Zhe Wang 0012
- Zhe Wang 0013
- Zhe Wang 0014
- Zhe Wang 0015
- Zhe Wang 0016
- Zhe Wang 0017
- Zhe Wang 0018
- Zhe Wang 0020 — University of Southern Caifornia, Los Angeles, CA, USA
- Zhe Wang 0021 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Zhe Wang 0022 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada
- Zhe Wang 0023 — Intel, USA (and 2 more)
- Zhe Wang 0024
- Zhe Wang 0025 — University of Virginia, Department of Computer Science, Charlottesville, VA, USA
- Zhe Wang 0026
- Zhe Wang 0027
- Zhe Wang 0028
- Zhe Wang 0029
- Zhe Wang 0030
- Zhe Wang 0031
- Zhe Wang 0032
- Zhe Wang 0033
- Zhe Wang 0034
- Zhe Wang 0035
- Zhe Wang 0036
- Zhe Wang 0037
- Zhe Wang 0038
- Zhe Wang 0039
- Zhe Wang 0040 — Chongqing University, School of Big Data and Software Engineering, China
- Zhe Wang 0041
- Zhe Wang 0042
- Zhe Wang 0043 — Xijing Hospital, Fourth Military Medical University, Xi'an, China
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2020 – today
- 2024
- [c21]Kaixin Xu
LPViT: Low-Power Semi-structured Pruning for Vision Transformers. ECCV (71) 2024: 269-287 - [i9]Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li:
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. CoRR abs/2405.06038 (2024) - [i8]Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin:
LPViT: Low-Power Semi-structured Pruning for Vision Transformers. CoRR abs/2407.02068 (2024) - [i7]Kaixin Xu, Qingtian Feng, Hao Chen, Zhe Wang, Xue Geng, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin:
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection. CoRR abs/2407.02098 (2024) - 2023
- [c20]Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin:
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. ICCV 2023: 17401-17411 - [c19]Kaixin Xu
Metagrad: Adaptive Gradient Quantization with Hypernetworks. ICIP 2023: 276-280 - [c18]Kai Feng, Zhuo Chen, Fei Gao
Post-Training Quantization for Vision Transformer in Transformed Domain. ICME 2023: 1457-1462 - [i6]Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin:
MetaGrad: Adaptive Gradient Quantization with Hypernetworks. CoRR abs/2303.02347 (2023) - [i5]Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, Xiaoli Li, Weisi Lin:
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. CoRR abs/2308.10438 (2023) - 2022
- [j5]Sean I. Young
Transform Quantization for CNN Compression. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5700-5714 (2022) - [j4]Yue Wang
Effective Similarity Search on Heterogeneous Networks: A Meta-Path Free Approach. IEEE Trans. Knowl. Data Eng. 34(7): 3225-3240 (2022) - [c17]Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar:
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization. ECCV (12) 2022: 157-172 - [c16]Wei Wang
Channel-Wise Bit Allocation for Deep Visual Feature Quantization. ICIP 2022: 3978-3982 - 2021
- [c15]Chunyun Chen
Efficient Tunstall Decoder for Deep Neural Network Compression. DAC 2021: 1021-1026 - [i4]Yuxiao Lu, Jie Lin, Chao Jin, Zhe Wang, Khin Mi Mi Aung, Xiaoli Li:
FFConv: Fast Factorized Neural Network Inference on Encrypted Data. CoRR abs/2102.03494 (2021) - 2020
- [c14]Zijian Li, Wenhao Zheng, Xueling Lin, Ziyuan Zhao, Zhe Wang
TransN: Heterogeneous Network Representation Learning by Translating Node Embeddings. ICDE 2020: 589-600 - [c13]Yue Wang
HowSim: A General and Effective Similarity Measure on Heterogeneous Information Networks. ICDE 2020: 1954-1957 - [i3]Sean I. Young, Zhe Wang, David Taubman
Transform Quantization for CNN Compression. CoRR abs/2009.01174 (2020)
2010 – 2019
- 2019
- [c12]Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar:
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. CVPR 2019: 9356-9364 - [c11]Zhuo Chen, Jie Lin, Zhe Wang, Vijay Chandrasekhar, Weisi Lin:
Beyond Ranking Loss: Deep Holographic Networks for Multi-Label Video Search. ICIP 2019: 879-883 - 2018
- [j3]Ling-Yu Duan
Minimizing Reconstruction Bias Hashing via Joint Projection Learning and Quantization. IEEE Trans. Image Process. 27(6): 3127-3141 (2018) - 2017
- [c10]Yicheng Huang, Ling-Yu Duan, Zhe Wang, Jie Lin, Vijay Chandrasekhar, Tiejun Huang:
A Multi-Block N-ary trie structure for exact r-neighbour search in hamming space. ICIP 2017: 1117-1121 - [i2]Zhe Wang, 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, Ngai-Man Cheung, Georgios Piliouras, Jie Lin, Vijay Chandrasekhar:
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. CoRR abs/1706.05461 (2017) - [i1]Fang Yuan, Zhe Wang, Jie Lin, Luis Fernando D'Haro, Jung-Jae Kim, Zeng Zeng, Vijay Chandrasekhar:
End-to-End Video Classification with Knowledge Graphs. CoRR abs/1711.01714 (2017) - 2016
- [j2]Ling-Yu Duan, Vijay Chandrasekhar, Jie Chen, Jie Lin, Zhe Wang, Tiejun Huang, Bernd Girod, Wen Gao:
Overview of the MPEG-CDVS Standard. IEEE Trans. Image Process. 25(1): 179-194 (2016) - [c9]Zhe Wang, Ling-Yu Duan, Tiejun Huang, Wen Gao:
Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Compact Learn Binary Codes. AAAI 2016: 1102-1108 - [c8]Zhe Wang, Ling-Yu Duan, Junsong Yuan, Tiejun Huang, Wen Gao:
To Project More or to Quantize More: Minimize Reconstruction Bias for Learning Compact Binary Codes. IJCAI 2016: 2181-2188 - [c7]Yuwei Wu, Zhe Wang, Junsong Yuan, Ling-Yu Duan:
A Compact Binary Aggregated Descriptor via Dual Selection for Visual Search. ACM Multimedia 2016: 426-430 - 2015
- [j1]Ling-Yu Duan, Jie Lin, Zhe Wang, Tiejun Huang, Wen Gao:
Weighted Component Hashing of Binary Aggregated Descriptors for Fast Visual Search. IEEE Trans. Multim. 17(6): 828-842 (2015) - [c6]Jie Lin, Zhe Wang, Yitong Wang, Vijay Chandrasekhar, Liyuan Li:
Selective aggregated descriptors for robust mobile image retrieval. APSIPA 2015: 169-177 - [c5]Zhe Wang, Ling-Yu Duan, Jie Lin, Jie Chen, Tiejun Huang, Wen Gao:
Optimizing Binary Fisher Codes for Visual Search. DCC 2015: 475 - [c4]Yitong Wang, Ling-Yu Duan, Jie Lin, Zhe Wang, Tiejun Huang:
Hierarchical multi-VLAD for image retrieval. ICIP 2015: 4629-4633 - [c3]Zhe Wang, Ling-Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang, Wen Gao:
Hamming Compatible Quantization for Hashing. IJCAI 2015: 2298-2304 - 2014
- [c2]Zhe Wang, Ling-Yu Duan, Jie Lin, Tiejun Huang, Wen Gao, Miroslaw Bober
Component hashing of variable-length binary aggregated descriptors for fast image search. ICIP 2014: 2217-2221 - 2012
- [c1]Jie Chen, Ling-Yu Duan, Rongrong Ji, Zhe Wang:
Multi-stage vector quantization towards low bit rate visual search. ICIP 2012: 2445-2448
Coauthor Index
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