Zigeng Wang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 21

Top Topics

Search Engine Marketing

Inference Process

Top Venues

HPCC/SmartCity/DSS

Publications

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 (2024)
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)
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 (2023)
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)
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)
Cheng Jie, Da Xu, Zigeng Wang, Wei Shen
Deep Learning Based Page Creation for Improving E-Commerce Organic Search Traffic. CoRR (2022)
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)
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)
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 (2021)
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 (2020)
Zigeng Wang, Xia Xiao, Sanguthevar Rajasekaran
Novel and efficient randomized algorithms for feature selection. Big Data Min. Anal. 3 (3) (2020)
Subrata Saha, Zigeng Wang, Sanguthevar Rajasekaran
HMSC: a Hybrid Metagenomic Sequence Classification Algorithm. BCB (2020)
Zigeng Wang, Sanguthevar Rajasekaran
Efficient Randomized Feature Selection Algorithms. HPCC/SmartCity/DSS (2019)
Zigeng Wang, Abdullah-Al Mamun, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. CIKM (2019)
Xia Xiao, Zigeng Wang, Sanguthevar Rajasekaran
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters. NeurIPS (2019)
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)
Peng Xiao, Zigeng Wang, Sanguthevar Rajasekaran
Novel Speedup Techniques for Parallel Singular Value Decomposition. HPCC/SmartCity/DSS (2018)
Li Wei, Zigeng Wang, Jun Liu, Zheng Peng, Jun-Hong Cui
Power Efficient Deployment Planning for Wireless Oceanographic Systems. IEEE Syst. J. 12 (1) (2018)
Abdullah-Al Mamun, Zigeng Wang, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. CoRR (2018)
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)
Zigeng Wang, Li Wei, Xiaoyan Lu, Zheng Peng, Jun-Hong Cui
Towards power efficient deployment for underwater sensing systems. ICNSC (2015)