Complexity science management and big data. - Zheng Zhan 001; Xiaojing Zheng; Taiyuanyuan; Zhao Wei; Tianqi Cai (GrC, 2014)

Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. - Yanzhi Wang; Zheng Zhan 001; Liang Zhao 002; Jian Tang 008; Siyue Wang; Jiayu Li; Bo Yuan 001; Wujie Wen; Xue Lin 001 (AAAI, 2019)

Chic: experience-driven scheduling in machine learning clusters. - Yifan Gong 004; Baochun Li; Ben Liang 001; Zheng Zhan 001 (IWQoS, 2019)

A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework. - Yifan Gong 004; Zheng Zhan 001; Zhengang Li; Wei Niu 002; Xiaolong Ma; Wenhao Wang 001; Bin Ren; Caiwen Ding; Xue Lin 001; Xiaolin Xu 001; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2020)

Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. - Wei Niu 002; Pu Zhao 001; Zheng Zhan 001; Xue Lin 001; Yanzhi Wang; Bin Ren (IJCAI, 2020)

BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. - Xiaolong Ma; Zhengang Li; Yifan Gong 004; Tianyun Zhang; Wei Niu 002; Zheng Zhan 001; Pu Zhao 001; Jian Tang 008; Xue Lin 001; Bin Ren; Yanzhi Wang (CoRR, 2020)

SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency. - Zhengang Li; Yifan Gong 004; Xiaolong Ma; Sijia Liu 001; Mengshu Sun; Zheng Zhan 001; Zhenglun Kong; Geng Yuan; Yanzhi Wang (CoRR, 2020)

A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. - Zheng Zhan 001; Yifan Gong 004; Zhengang Li; Pu Zhao 001; Xiaolong Ma; Wei Niu 002; Xiaolin Xu 001; Bin Ren; Yanzhi Wang; Xue Lin 001 (CoRR, 2020)

A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods. - Tianyun Zhang; Xiaolong Ma; Zheng Zhan 001; Shanglin Zhou; Minghai Qin; Fei Sun; Yen-Kuang Chen; Caiwen Ding; Makan Fardad; Yanzhi Wang (CoRR, 2020)

6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. - Zhengang Li; Geng Yuan; Wei Niu 002; Yanyu Li; Pu Zhao 001; Yuxuan Cai 001; Xuan Shen; Zheng Zhan 001; Zhenglun Kong; Qing Jin; Zhiyu Chen 003; Sijia Liu 001; et al. (CoRR, 2020)

NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. - Zhengang Li; Geng Yuan; Wei Niu 002; Pu Zhao 001; Yanyu Li; Yuxuan Cai 001; Xuan Shen; Zheng Zhan 001; Zhenglun Kong; Qing Jin; Zhiyu Chen 003; Sijia Liu 001; et al. (CVPR, 2021)

A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. - Tianyun Zhang; Xiaolong Ma; Zheng Zhan 001; Shanglin Zhou; Caiwen Ding; Makan Fardad; Yanzhi Wang (DAC, 2021)

Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. - Zheng Zhan 001; Yifan Gong 004; Pu Zhao 001; Geng Yuan; Wei Niu 002; Yushu Wu; Tianyun Zhang; Malith Jayaweera; David R. Kaeli; Bin Ren; Xue Lin 001; Yanzhi Wang (ICCV, 2021)

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. - Geng Yuan; Xiaolong Ma; Wei Niu 002; Zhengang Li; Zhenglun Kong; Ning Liu 007; Yifan Gong 004; Zheng Zhan 001; Chaoyang He 001; Qing Jin; Siyue Wang; Minghai Qin; et al. (NeurIPS, 2021)

Representation Learning on Spatial Networks. - Zheng Zhan 001; Liang Zhao 002 (NeurIPS, 2021)

Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. - Yushu Wu; Yifan Gong 004; Pu Zhao 001; Yanyu Li; Zheng Zhan 001; Wei Niu 002; Hao Tang 005; Minghai Qin; Bin Ren; Yanzhi Wang (ECCV (19), 2022)

All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. - Yifan Gong 004; Zheng Zhan 001; Pu Zhao 001; Yushu Wu; Chao Wu 006; Caiwen Ding; Weiwen Jiang; Minghai Qin; Yanzhi Wang (ICCAD, 2022)

BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. - Xiaolong Ma; Geng Yuan; Zhengang Li; Yifan Gong 004; Tianyun Zhang; Wei Niu 002; Zheng Zhan 001; Pu Zhao 001; Ning Liu 007; Jian Tang 008; Xue Lin 001; Bin Ren; et al. (ISQED, 2022)

SparCL: Sparse Continual Learning on the Edge. - Zifeng Wang 002; Zheng Zhan 001; Yifan Gong 004; Geng Yuan; Wei Niu 002; Tong Jian; Bin Ren; Stratis Ioannidis; Yanzhi Wang; Jennifer G. Dy (NeurIPS, 2022)

Radio Frequency Fingerprinting on the Edge. - Tong Jian; Yifan Gong 004; Zheng Zhan 001; Runbin Shi; Nasim Soltani; Zifeng Wang 002; Jennifer G. Dy; Kaushik R. Chowdhury; Yanzhi Wang; Stratis Ioannidis (IEEE Trans. Mob. Comput., 2022)

Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. - Yifan Gong 004; Geng Yuan; Zheng Zhan 001; Wei Niu 002; Zhengang Li; Pu Zhao 001; Yuxuan Cai 001; Sijia Liu 001; Bin Ren; Xue Lin 001; Xulong Tang; Yanzhi Wang (ACM Trans. Design Autom. Electr. Syst., 2022)

Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. - Yifan Gong 004; Pu Zhao 001; Zheng Zhan 001; Yushu Wu; Chao Wu 006; Zhenglun Kong; Minghai Qin; Caiwen Ding; Yanzhi Wang (DAC, 2023)

MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference. - Yushu Wu; Yifan Gong 004; Zheng Zhan 001; Geng Yuan; Yanyu Li; Qi Wang; Chao Wu 006; Yanzhi Wang (ICCAD, 2023)

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. - Zifeng Wang 002; Zheng Zhan 001; Yifan Gong 004; Yucai Shao; Stratis Ioannidis; Yanzhi Wang; Jennifer G. Dy (ICML, 2023)

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. - Zifeng Wang 001; Zheng Zhan 001; Yifan Gong 004; Yucai Shao; Stratis Ioannidis; Yanzhi Wang; Jennifer G. Dy (CoRR, 2023)

LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. - Yifan Gong 004; Yushu Wu; Zheng Zhan 001; Pu Zhao 001; Liangkai Liu; Chao Wu 006; Xulong Tang; Yanzhi Wang (DAC, 2024)

Efficient Training with Denoised Neural Weights. - Yifan Gong 004; Zheng Zhan 001; Yanyu Li; Yerlan Idelbayev; Andrey Zharkov; Kfir Aberman; Sergey Tulyakov; Yanzhi Wang; Jian Ren 003 (ECCV (83), 2024)

DiffClass: Diffusion-Based Class Incremental Learning. - Zichong Meng; Jie Zhang; Changdi Yang; Zheng Zhan 001; Pu Zhao 001; Yanzhi Wang (ECCV (87), 2024)

Rethinking Token Reduction for State Space Models. - Zheng Zhan 001; Yushu Wu; Zhenglun Kong; Changdi Yang; Yifan Gong 004; Xuan Shen; Xue Lin 001; Pu Zhao 001; Yanzhi Wang (EMNLP, 2024)

E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. - Yifan Gong 004; Zheng Zhan 001; Qing Jin; Yanyu Li; Yerlan Idelbayev; Xian Liu; Andrey Zharkov; Kfir Aberman; Sergey Tulyakov; Yanzhi Wang; Jian Ren 005 (ICML, 2024)

Exploring Token Pruning in Vision State Space Models. - Zheng Zhan 001; Zhenglun Kong; Yifan Gong 004; Yushu Wu; Zichong Meng; Hangyu Zheng; Xuan Shen; Stratis Ioannidis; Wei Niu 002; Pu Zhao 001; Yanzhi Wang (NeurIPS, 2024)

Fast and Memory-Efficient Video Diffusion Using Streamlined Inference. - Zheng Zhan 001; Yushu Wu; Yifan Gong 004; Zichong Meng; Zhenglun Kong; Changdi Yang; Geng Yuan; Pu Zhao 001; Wei Niu 002; Yanzhi Wang (NeurIPS, 2024)

Search for Efficient Large Language Models. - Xuan Shen; Pu Zhao 001; Yifan Gong 004; Zhenglun Kong; Zheng Zhan 001; Yushu Wu; Ming Lin; Chao Wu 006; Xue Lin 001; Yanzhi Wang (NeurIPS, 2024)

E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. - Yifan Gong 004; Zheng Zhan 001; Qing Jin; Yanyu Li; Yerlan Idelbayev; Xian Liu; Andrey Zharkov; Kfir Aberman; Sergey Tulyakov; Yanzhi Wang; Jian Ren 005 (CoRR, 2024)

Efficient Training with Denoised Neural Weights. - Yifan Gong 004; Zheng Zhan 001; Yanyu Li; Yerlan Idelbayev; Andrey Zharkov; Kfir Aberman; Sergey Tulyakov; Yanzhi Wang; Jian Ren 005 (CoRR, 2024)

Sparse Learning for State Space Models on Mobile. - Xuan Shen; Hangyu Zheng; Yifan Gong 004; Zhenglun Kong; Changdi Yang; Zheng Zhan 001; Yushu Wu; Xue Lin 001; Yanzhi Wang; Pu Zhao 001; Wei Niu 002 (ICLR, 2025)

A unified DNN weight compression framework using reweighted optimization methods. - Mengchen Fan; Tianyun Zhang; Xiaolong Ma; Jiacheng Guo; Zheng Zhan 001; Shanglin Zhou; Minghai Qin; Caiwen Ding; Baocheng Geng; Makan Fardad; Yanzhi Wang (Intell. Syst. Appl., 2025)

Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning. - Qitao Tan; Jun Liu; Zheng Zhan 001; Caiwei Ding; Yanzhi Wang; Jin Lu; Geng Yuan (CoRR, 2025)

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation. - Zhenglun Kong; Zheng Zhan 001; Shiyue Hou; Yifan Gong 004; Xin Meng; Pengwei Sui; Peiyan Dong; Xuan Shen; Zifeng Wang 002; Pu Zhao 001; Hao Tang 005; Stratis Ioannidis; et al. (CoRR, 2025)