Towards power efficient deployment for underwater sensing systems. - Zigeng Wang; Li Wei; Xiaoyan Lu; Zheng Peng 001; Jun-Hong Cui (ICNSC, 2015)

Towards multi-functional light-weight long-term real-time coastal ocean observation system. - Zhenfeng Jiang; Yanming Ma; Jiali Chen; Zigeng Wang; Zheng Peng 001; Jun Liu 006; Guitao Han (WUWNet, 2016)

Novel Speedup Techniques for Parallel Singular Value Decomposition. - Peng Xiao 004; Zigeng Wang; Sanguthevar Rajasekaran (HPCC/SmartCity/DSS, 2018)

Top-Down Indoor Localization with Wi-Fi Fingerprints Using Deep Q-Network. - Fei Dou; Jin Lu 001; Zigeng Wang; Xia Xiao; Jinbo Bi; Chun-Hsi Huang (MASS, 2018)

Power Efficient Deployment Planning for Wireless Oceanographic Systems. - Li Wei; Zigeng Wang; Jun Liu 006; Zheng Peng 001; Jun-Hong Cui (IEEE Syst. J., 2018)

Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. - Zigeng Wang; Abdullah-Al Mamun 002; Xingyu Cai; Nalini Ravishanker; Sanguthevar Rajasekaran (CIKM, 2019)

Efficient Randomized Feature Selection Algorithms. - Zigeng Wang; Sanguthevar Rajasekaran (HPCC/SmartCity/DSS, 2019)

AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters. - Xia Xiao; Zigeng Wang; Sanguthevar Rajasekaran (NeurIPS, 2019)

HMSC: a Hybrid Metagenomic Sequence Classification Algorithm. - Subrata Saha; Zigeng Wang; Sanguthevar Rajasekaran (BCB, 2020)

Novel and efficient randomized algorithms for feature selection. - Zigeng Wang; Xia Xiao; Sanguthevar Rajasekaran (Big Data Min. Anal., 2020)

MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. - Yijue Wang; Chenghong Wang; Zigeng Wang; Shanglin Zhou; Hang Liu 001; Jinbo Bi; Caiwen Ding; Sanguthevar Rajasekaran (CoRR, 2020)

Against Membership Inference Attack: Pruning is All You Need. - Yijue Wang; Chenghong Wang; Zigeng Wang; Shanglin Zhou; Hang Liu 001; Jinbo Bi; Caiwen Ding; Sanguthevar Rajasekaran (IJCAI, 2021)

Bidding via Clustering Ads Intentions: an Efficient Search Engine Marketing System for E-commerce. - Cheng Jie; Da Xu; Zigeng Wang; Lu Wang; Wei Shen (CoRR, 2021)

Deep Learning Based Page Creation for Improving E-Commerce Organic Search Traffic. - Cheng Jie; Da Xu; Zigeng Wang; Wei Shen (CoRR, 2022)

Multi-objective cluster based bidding algorithm for E-commerce search engine marketing system. - Cheng Jie; Zigeng Wang; Da Xu; Wei Shen (Frontiers Big Data, 2022)

AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. - Hongwu Peng; Shaoyi Huang; Tong Zhou 002; Yukui Luo; Chenghong Wang; Zigeng Wang; Jiahui Zhao; Xi Xie; Ang Li 006; Tony Geng; Kaleel Mahmood; Wujie Wen; et al. (ICCV, 2023)

Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models. - Bingbing Li; Zigeng Wang; Shaoyi Huang; Mikhail A. Bragin; Ji Li 006; Caiwen Ding (IJCAI, 2023)

Automatic Subnetwork Search Through Dynamic Differentiable Neuron Pruning. - Zigeng Wang; Bingbing Li; Xia Xiao; Tianyun Zhang; Mikhail A. Bragin; Bing Yan; Caiwen Ding; Sanguthevar Rajasekaran (ISQED, 2023)

Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM. - Bingbing Li; Geng Yuan; Zigeng Wang; Shaoyi Huang; Hongwu Peng; Payman Behnam; Wujie Wen; Hang Liu 001; Caiwen Ding (CoRR, 2024)