TOUGH2-PETSc: A Parallel Solver for TOUGH2. - Daniel Hathorn; Yushu Wu; Zizhong Chen (PDCAT, 2014)

Research on Characteristics of Chinese Herbal Medicine Compounds Based on Bisecting k-Means Algorithm. - Yushu Wu; Fenfen Xie; Lu Wang 024; Shoude Zhang; Lei Zhang 103; Xiaoying Wang 002 (FSDM, 2020)

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)

Decentralized Reinforcement Learning for Multi-Target Search and Detection by a Team of Drones. - Roi Yehoshua; Juan Heredia Juesas; Yushu Wu; Christopher Amato; Jose A. Martinez-Lorenzo (CoRR, 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)

You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. - Geng Yuan; Sung-En Chang; Qing Jin; Alec Lu; Yanyu Li; Yushu Wu; Zhenglun Kong; Yanyue Xie; Peiyan Dong; Minghai Qin; Xiaolong Ma; Xulong Tang; et al. (ECCV (12), 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)

Preliminary Experimental Results of Context-Aware Teams of Multiple Autonomous Agents Operating under Constrained Communications. - José Ángel Martínez Lorenzo; Jeff Hudack; Yutao Jing; Michael Shaham; Zixuan Liang; Abdullah Al Bashit; Yushu Wu; Weite Zhang; Matthew Skopin; Juan Heredia Juesas; Yuntao Ma; Tristan Sweeney; et al. (Robotics, 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)

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)

DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices. - Yushu Wu; Chao Wu; Geng Yuan; Yanyu Li; Weichao Guo; Jing Rao; Xipeng Shen; Bin Ren; Yanzhi Wang (DATE, 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)

"It os Okay to be Uncommon": Quantizing Sound Event Detection Networks on Hardware Accelerators with Uncommon Sub-Byte Support. - Yushu Wu; Xiao Quan; Mohammad Rasool Izadi; Chuan-Che Jeff Huang (ICASSP, 2024)

AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge. - Chao Wu 006; Yifan Gong 004; Liangkai Liu; Mengquan Li; Yushu Wu; Xuan Shen; Zhimin Li; Geng Yuan; Weisong Shi; Yanzhi Wang (ICCAD, 2024)

Digital Avatars: Framework Development and Their Evaluation. - Timothy Rupprecht; Sung-En Chang; Yushu Wu; Lei Lu; Enfu Nan; Chih-hsiang Li; Caiyue Lai; Zhimin Li; Zhijun Hu; Yumei He; David R. Kaeli; Yanzhi Wang (IJCAI, 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)

SF-V: Single Forward Video Generation Model. - Zhixing Zhang; Yanyu Li; Yushu Wu; Yanwu Xu 003; Anil Kag; Ivan Skorokhodov; Willi Menapace; Aliaksandr Siarohin; Junli Cao; Dimitris N. Metaxas; Sergey Tulyakov; Jian Ren 005 (NeurIPS, 2024)

"It is okay to be uncommon": Quantizing Sound Event Detection Networks on Hardware Accelerators with Uncommon Sub-Byte Support. - Yushu Wu; Xiao Quan; Mohammad Rasool Izadi; Chuan-Che Jeff Huang (CoRR, 2024)

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device. - Yushu Wu; Zhixing Zhang; Yanyu Li; Yanwu Xu 003; Anil Kag; Yang Sui; Huseyin Coskun; Ke Ma; Aleksei Lebedev; Ju Hu; Dimitris N. Metaxas; Yanzhi Wang; et al. (CVPR, 2025)

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)

H3AE: High Compression, High Speed, and High Quality AutoEncoder for Video Diffusion Models. - Yushu Wu; Yanyu Li; Ivan Skorokhodov; Anil Kag; Willi Menapace; Sharath Girish; Aliaksandr Siarohin; Yanzhi Wang; Sergey Tulyakov (CoRR, 2025)

Taming Diffusion for Dataset Distillation with High Representativeness. - Lin Zhao; Yushu Wu; Xinru Jiang; Jianyang Gu; Yanzhi Wang; Xiaolin Xu; Pu Zhao; Xue Lin (CoRR, 2025)

Taming Diffusion Transformer for Real-Time Mobile Video Generation. - Yushu Wu; Yanyu Li; Anil Kag; Ivan Skorokhodov; Willi Menapace; Ke Ma; Arpit Sahni; Ju Hu; Aliaksandr Siarohin; Dhritiman Sagar; Yanzhi Wang; Sergey Tulyakov (CoRR, 2025)