Yushu Wu

According to our database, Yushu Wu authored at least 21 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fast and Memory-Efficient Video Diffusion Using Streamlined Inference.

Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang

CoRR, 2024

Exploring Token Pruning in Vision State Space Models.

Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang

CoRR, 2024

Search for Efficient Large Language Models.

Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang

CoRR, 2024

AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge.

Chao Wu, Yifan Gong, Liangkai Liu, Mengquan Li, Yushu Wu, Xuan Shen, Zhimin Li, Geng Yuan, Weisong Shi, Yanzhi Wang

CoRR, 2024

SF-V: Single Forward Video Generation Model.

Zhixing Zhang, Yanyu Li, Yushu Wu, Yanwu Xu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Aliaksandr Siarohin, Junli Cao, Dimitris N. Metaxas, Sergey Tulyakov, Jian Ren

CoRR, 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

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Proceedings of the IEEE International Conference on Acoustics, 2024

Rethinking Token Reduction for State Space Models.

Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices.

Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference.

Yushu Wu, Yifan Gong, Zheng Zhan, Geng Yuan, Yanyu Li, Qi Wang, Chao Wu, Yanzhi Wang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge.

Yifan Gong, Pu Zhao, Zheng Zhan, Yushu Wu, Chao Wu, Zhenglun Kong, Minghai Qin, Caiwen Ding, Yanzhi Wang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

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, Nicolas Ares, Ari Fox

Robotics, 2022

All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management.

Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 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, Zhenman Fang, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution.

Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search.

Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Research on Characteristics of Chinese Herbal Medicine Compounds Based on Bisecting k-Means Algorithm.

Yushu Wu, Fenfen Xie, Lu Wang, Shoude Zhang, Lei Zhang, Xiaoying Wang

Proceedings of the Fuzzy Systems and Data Mining VI, 2020

2014

TOUGH2-PETSc: A Parallel Solver for TOUGH2.

Daniel Hathorn, Yushu Wu, Zizhong Chen

Proceedings of the 15th International Conference on Parallel and Distributed Computing, 2014