Yushu Wu

According to our database, Yushu Wu authored at least 30 papers between 2014 and 2026.

Collaborative distances:

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

2026

OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation.

Lin Zhao, Yushu Wu, Yifan Gong, Yanzhi Wang, Pu Zhao

CoRR, May, 2026

Joint Optimization of Generation and Maintenance for Large Cascaded Hydropower With Complex Operational Requirements.

Yushu Wu, Jianjian Shen, Zixuan Xu, Mingbo Wang, Chuntian Cheng, Le Li, Yuanyuan Han

IEEE Trans. Ind. Informatics, April, 2026

S2DiT: Sandwich Diffusion Transformer for Mobile Streaming Video Generation.

Lin Zhao, Yushu Wu, Aleksei Lebedev, Dishani Lahiri, Meng Dong, Arpit Sahni, Michael Vasilkovsky, Hao Chen, Ju Hu, Aliaksandr Siarohin, Sergey Tulyakov, Yanzhi Wang, Anil Kag, Yanyu Li

CoRR, January, 2026

2025

LightCache: Memory-Efficient, Training-Free Acceleration for Video Generation.

Yang Xiao, Gen Li, Kaiyuan Deng, Yushu Wu, Zheng Zhan, Yanzhi Wang, Xiaolong Ma, Bo Hui

CoRR, October, 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, July, 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, April, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Sparse Learning for State Space Models on Mobile.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device.

Yushu Wu, Zhixing Zhang, Yanyu Li, Yanwu Xu, Anil Kag, Yang Sui, Huseyin Coskun, Ke Ma, Aleksei Lebedev, Ju Hu, Dimitris N. Metaxas, Yanzhi Wang, Sergey Tulyakov, Jian Ren

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

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

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 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