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2020 – today
- 2024
[i6]Bingbing Li, Geng Yuan, Zigeng Wang, Shaoyi Huang, Hongwu Peng, Payman Behnam, Wujie Wen, Hang Liu, Caiwen Ding:
Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM. CoRR abs/2401.11664 (2024)- 2023
- [c12]Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding:
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. ICCV 2023: 5155-5165 - [c11]Bingbing Li, Zigeng Wang, Shaoyi Huang, Mikhail A. Bragin, Ji Li, Caiwen Ding:
Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models. IJCAI 2023: 5113-5121 - [c10]Zigeng Wang, Bingbing Li, Xia Xiao, Tianyun Zhang, Mikhail A. Bragin, Bing Yan, Caiwen Ding, Sanguthevar Rajasekaran:
Automatic Subnetwork Search Through Dynamic Differentiable Neuron Pruning. ISQED 2023: 1-6 - [i5]Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding:
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. CoRR abs/2308.10134 (2023) - 2022
- [j3]Cheng Jie, Zigeng Wang, Da Xu, Wei Shen:
Multi-objective cluster based bidding algorithm for E-commerce search engine marketing system. Frontiers Big Data 5 (2022) - [i4]Cheng Jie, Da Xu, Zigeng Wang, Wei Shen:
Deep Learning Based Page Creation for Improving E-Commerce Organic Search Traffic. CoRR abs/2209.10792 (2022) - 2021
- [c9]Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran:
Against Membership Inference Attack: Pruning is All You Need. IJCAI 2021: 3141-3147 - [i3]Cheng Jie, Da Xu, Zigeng Wang, Lu Wang, Wei Shen:
Bidding via Clustering Ads Intentions: an Efficient Search Engine Marketing System for E-commerce. CoRR abs/2106.12700 (2021) - 2020
- [j2]Zigeng Wang, Xia Xiao, Sanguthevar Rajasekaran:
Novel and efficient randomized algorithms for feature selection. Big Data Min. Anal. 3(3): 208-224 (2020) - [c8]Subrata Saha, Zigeng Wang, Sanguthevar Rajasekaran:
HMSC: a Hybrid Metagenomic Sequence Classification Algorithm. BCB 2020: 19:1-19:6 - [i2]Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran:
MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. CoRR abs/2008.13578 (2020)
2010 – 2019
- 2019
- [c7]Zigeng Wang, Abdullah-Al Mamun, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran:
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. CIKM 2019: 1743-1752 - [c6]Zigeng Wang, Sanguthevar Rajasekaran:
Efficient Randomized Feature Selection Algorithms. HPCC/SmartCity/DSS 2019: 796-803 - [c5]Xia Xiao, Zigeng Wang, Sanguthevar Rajasekaran:
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters. NeurIPS 2019: 13681-13691 - 2018
- [j1]Li Wei, Zigeng Wang, Jun Liu, Zheng Peng
, Jun-Hong Cui:
Power Efficient Deployment Planning for Wireless Oceanographic Systems. IEEE Syst. J. 12(1): 516-526 (2018) - [c4]Peng Xiao, Zigeng Wang, Sanguthevar Rajasekaran:
Novel Speedup Techniques for Parallel Singular Value Decomposition. HPCC/SmartCity/DSS 2018: 188-195 - [c3]Fei Dou, Jin Lu, Zigeng Wang, Xia Xiao, Jinbo Bi, Chun-Hsi Huang:
Top-Down Indoor Localization with Wi-Fi Fingerprints Using Deep Q-Network. MASS 2018: 166-174 - [i1]Abdullah-Al Mamun, Zigeng Wang, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran:
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. CoRR abs/1805.11775 (2018) - 2016
- [c2]Zhenfeng Jiang, Yanming Ma, Jiali Chen, Zigeng Wang, Zheng Peng, Jun Liu, Guitao Han:
Towards multi-functional light-weight long-term real-time coastal ocean observation system. WUWNet 2016: 31 - 2015
- [c1]Zigeng Wang, Li Wei, Xiaoyan Lu, Zheng Peng, Jun-Hong Cui:
Towards power efficient deployment for underwater sensing systems. ICNSC 2015: 625-630
Coauthor Index
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