A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. - Ning Liu 007; Zhe Li 001; Jielong Xu; Zhiyuan Xu; Sheng Lin 001; Qinru Qiu; Jian Tang 008; Yanzhi Wang (ICDCS, 2017)

Reconfigurable thermoelectric generators for vehicle radiators energy harvesting. - Donkyu Baek; Caiwen Ding; Sheng Lin 001; Donghwa Shin; Jaemin Kim; Xue Lin 001; Yanzhi Wang; Naehyuck Chang (ISLPED, 2017)

FFT-based deep learning deployment in embedded systems. - Sheng Lin 001; Ning Liu 007; Mahdi Nazemi; Hongjia Li; Caiwen Ding; Yanzhi Wang; Massoud Pedram (DATE, 2018)

Learning Topics Using Semantic Locality. - Ziyi Zhao; Krittaphat Pugdeethosapol; Sheng Lin 001; Zhe Li 001; Caiwen Ding; Yanzhi Wang; Qinru Qiu (ICPR, 2018)

Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations. - Jaemin Kim; Donkyu Baek; Caiwen Ding; Sheng Lin 001; Donghwa Shin; Xue Lin 001; Yanzhi Wang; Youngjin Cho; Sang Hyun Park; Naehyuck Chang (IEEE Trans. Very Large Scale Integr. Syst., 2018)

ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. - Hongjia Li; Ning Liu 007; Xiaolong Ma; Sheng Lin 001; Shaokai Ye; Tianyun Zhang; Xue Lin 001; Wenyao Xu; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2019)

An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. - Geng Yuan; Xiaolong Ma; Caiwen Ding; Sheng Lin 001; Tianyun Zhang; Zeinab S. Jalali; Yilong Zhao; Li Jiang 002; Sucheta Soundarajan; Yanzhi Wang (ISLPED, 2019)

Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. - Hongjia Li; Sheng Lin 001; Ning Liu 007; Caiwen Ding; Yanzhi Wang (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

ResNet Can Be Pruned 60×: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning. - Xiaolong Ma; Geng Yuan; Sheng Lin 001; Zhengang Li; Hao Sun; Yanzhi Wang (NANOARCH, 2019)

Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. - Shaokai Ye; Xiaoyu Feng; Tianyun Zhang; Xiaolong Ma; Sheng Lin 001; Zhengang Li; Kaidi Xu; Wujie Wen; Sijia Liu 001; Jian Tang 008; Makan Fardad; Xue Lin 001; et al. (CoRR, 2019)

ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning. - Xiaolong Ma; Geng Yuan; Sheng Lin 001; Zhengang Li; Hao Sun; Yanzhi Wang (CoRR, 2019)

Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM. - Sheng Lin 001; Xiaolong Ma; Shaokai Ye; Geng Yuan; Kaisheng Ma; Yanzhi Wang (CoRR, 2019)

Non-structured DNN Weight Pruning Considered Harmful. - Yanzhi Wang; Shaokai Ye; Zhezhi He; Xiaolong Ma; Linfeng Zhang 001; Sheng Lin 001; Geng Yuan; Sia Huat Tan; Zhengang Li; Deliang Fan; Xuehai Qian; Xue Lin 001; et al. (CoRR, 2019)

DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks. - Ao Ren; Tao Zhang 032; Yuhao Wang 002; Sheng Lin 001; Peiyan Dong; Yen-Kuang Chen; Yuan Xie 001; Yanzhi Wang (CoRR, 2019)

A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed DNN Implementation. - Geng Yuan; Xiaolong Ma; Sheng Lin 001; Zhengang Li; Caiwen Ding (CoRR, 2019)

DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks. - Ao Ren; Tao Zhang 032; Yuhao Wang 002; Sheng Lin 001; Peiyan Dong; Yen-Kuang Chen; Yuan Xie 001; Yanzhi Wang (AAAI, 2020)

Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. - Xiaolong Ma; Geng Yuan; Sheng Lin 001; Caiwen Ding; Fuxun Yu; Tao Liu 023; Wujie Wen; Xiang Chen 010; Yanzhi Wang (ASP-DAC, 2020)

PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. - Wei Niu 002; Xiaolong Ma; Sheng Lin 001; Shihao Wang; Xuehai Qian; Xue Lin 001; Yanzhi Wang; Bin Ren (ASPLOS, 2020)

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. - Peiyan Dong; Siyue Wang; Wei Niu 002; Chengming Zhang 006; Sheng Lin 001; Zhengang Li; Yifan Gong 004; Bin Ren; Xue Lin 001; Dingwen Tao (DAC, 2020)

When Sorting Network Meets Parallel Bitstreams: A Fault-Tolerant Parallel Ternary Neural Network Accelerator based on Stochastic Computing. - Yawen Zhang; Sheng Lin 001; Runsheng Wang; Yanzhi Wang; Yuan Wang 001; Weikang Qian; Ru Huang 001 (DATE, 2020)

An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. - Xiaolong Ma; Wei Niu 002; Tianyun Zhang; Sijia Liu 001; Sheng Lin 001; Hongjia Li; Wujie Wen; Xiang Chen 010; Jian Tang 008; Kaisheng Ma; Bin Ren; Yanzhi Wang (ECCV (13), 2020)

NS-KWS: joint optimization of near-sensor processing architecture and low-precision GRU for always-on keyword spotting. - Qin Li 016; Sheng Lin 001; Changlu Liu; Yidong Liu; Fei Qiao; Yanzhi Wang; Huazhong Yang (ISLPED, 2020)

A DNN Compression Framework for SOT-MRAM-based Processing-In-Memory Engine. - Geng Yuan; Xiaolong Ma; Sheng Lin 001; Zhengang Li; Jieren Deng; Caiwen Ding (SoCC, 2020)

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. - Xiaolong Ma; Wei Niu 002; Tianyun Zhang; Sijia Liu 001; Fu-Ming Guo; Sheng Lin 001; Hongjia Li; Xiang Chen 010; Jian Tang 008; Kaisheng Ma; Bin Ren; Yanzhi Wang (CoRR, 2020)

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. - Peiyan Dong; Siyue Wang; Wei Niu 002; Chengming Zhang 006; Sheng Lin 001; Zhengang Li; Yifan Gong 004; Bin Ren; Xue Lin 001; Yanzhi Wang; Dingwen Tao (CoRR, 2020)

ESMFL: Efficient and Secure Models for Federated Learning. - Sheng Lin 001; Chenghong Wang; Hongjia Li; Jieren Deng; Yanzhi Wang; Caiwen Ding (CoRR, 2020)

A Secure and Efficient Federated Learning Framework for NLP. - Chenghong Wang; Jieren Deng; Xianrui Meng; Yijue Wang; Ji Li 006; Sheng Lin 001; Shuo Han 002; Fei Miao; Sanguthevar Rajasekaran; Caiwen Ding (EMNLP (1), 2021)

FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. - Geng Yuan; Payman Behnam; Zhengang Li; Ali Shafiee; Sheng Lin 001; Xiaolong Ma; Hang Liu 001; Xuehai Qian; Mahdi Nazm Bojnordi; Yanzhi Wang; Caiwen Ding (ISCA, 2021)

Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression. - Sheng Lin 001; Wei Jiang 001; Wei Wang 311; Kaidi Xu; Yanzhi Wang; Shan Liu 001; Songnan Li (CoRR, 2021)

CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference. - Zhiyu Chen 003; Zhanghao Yu; Qing Jin; Yan He 002; Jingyu Wang 003; Sheng Lin 001; Dai Li; Yanzhi Wang; Kaiyuan Yang 001 (IEEE J. Solid State Circuits, 2021)

NS-FDN: Near-Sensor Processing Architecture of Feature-Configurable Distributed Network for Beyond-Real-Time Always-on Keyword Spotting. - Qin Li 016; Changlu Liu; Peiyan Dong; Yanming Zhang; Tong Li; Sheng Lin 001; Minda Yang; Fei Qiao; Yanzhi Wang; Li Luo; Huazhong Yang (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression. - Mengshu Sun; Sheng Lin 001; Shan Liu 001; Songnan Li; Yanzhi Wang; Wei Jiang 001; Wei Wang 311 (FCCM, 2022)

FAIVconf: Face Enhancement for AI-Based Video Conference with Low Bit-Rate. - Zhengang Li; Sheng Lin 001; Shan Liu 001; Songnan Li; Xue Lin 001; Wei Wang 311; Wei Jiang 001 (ICME Workshops, 2022)

Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? - Xiaolong Ma; Sheng Lin 001; Shaokai Ye; Zhezhi He; Linfeng Zhang 001; Geng Yuan; Sia Huat Tan; Zhengang Li; Deliang Fan; Xuehai Qian; Xue Lin 001; Kaisheng Ma; et al. (IEEE Trans. Neural Networks Learn. Syst., 2022)

Towards Zero Memory Footprint Spiking Neural Network Training. - Bin Lei; Sheng Lin 001; Pei-Hung Lin; Chunhua Liao; Caiwen Ding (CoRR, 2023)