Yang Sui

According to our database, Yang Sui authored at least 41 papers between 2021 and 2025.

Collaborative distances:

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

2025

Pruning 3D Convolutional Neural Networks via Channel Independence.

Yang Sui, Khizar Anjum, Dario Pompili, Bo Yuan

J. Signal Process. Syst., December, 2025

LowDiff: Efficient Diffusion Sampling with Low-Resolution Condition.

Jiuyi Xu, Qing Jin, Meida Chen, Andrew Feng, Yang Sui, Yangming Shi

CoRR, September, 2025

When Tokens Talk Too Much: A Survey of Multimodal Long-Context Token Compression across Images, Videos, and Audios.

Kele Shao, Keda Tao, Kejia Zhang, Sicheng Feng, Mu Cai, Yuzhang Shang, Haoxuan You, Can Qin, Yang Sui, Huan Wang

CoRR, July, 2025

AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models.

Feng Luo, Yu-Neng Chuang, Guanchu Wang, Hoang Anh Duy Le, Shaochen Zhong, Hongyi Liu, Jiayi Yuan, Yang Sui, Vladimir Braverman, Vipin Chaudhary, Xia Hu

CoRR, May, 2025

HoliTom: Holistic Token Merging for Fast Video Large Language Models.

Kele Shao, Keda Tao, Can Qin, Haoxuan You, Yang Sui, Huan Wang

CoRR, May, 2025

Co-Exploring Structured Sparsification and Low-Rank Tensor Decomposition for Compact DNNs.

Yang Sui, Miao Yin, Yu Gong, Bo Yuan

IEEE Trans. Neural Networks Learn. Syst., April, 2025

70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float.

Tianyi Zhang, Yang Sui, Shaochen Zhong, Vipin Chaudhary, Xia Hu, Anshumali Shrivastava

CoRR, April, 2025

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Hanjie Chen, Xia Ben Hu

CoRR, March, 2025

Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models.

Keda Tao, Haoxuan You, Yang Sui, Can Qin, Huan Wang

CoRR, March, 2025

Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization.

Yu-Neng Chuang, Leisheng Yu, Guanchu Wang, Lizhe Zhang, Zirui Liu, Xuanting Cai, Yang Sui, Vladimir Braverman, Xia Ben Hu

CoRR, February, 2025

DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models.

Yang Sui, Huy Phan, Jinqi Xiao, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan

Trans. Mach. Learn. Res., 2025

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Na Zou, Hanjie Chen, Xia Hu

Trans. Mach. Learn. Res., 2025

TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model.

Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Chendi Li, Jinghua Yan, Yu Bai, Ponnuswamy Sadayappan, Xia Hu, Bo Yuan

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

DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models.

Keda Tao, Can Qin, Haoxuan You, Yang Sui, Huan Wang

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

iTAP: An Incremental Task Graph Partitioner for Task-parallel Static Timing Analysis.

Boyang Zhang, Che Chang, Cheng-Hsiang Chiu, Dian-Lun Lin, Yang Sui, Chih-Chun Chang, Yi-Hua Chung, Wan-Luan Lee, Zizheng Guo, Yibo Lin, Tsung-Wei Huang

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Corner-to-Center long-range context model for efficient learned image compression.

Yang Sui, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Bo Yuan, Zhenzhong Chen

J. Vis. Commun. Image Represent., 2024

Understanding Artificial Neural Network's Behavior from Neuron Activation Perspective.

Yizhou Zhang, Yang Sui

CoRR, 2024

MoE-I²: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition.

Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan

CoRR, 2024

ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks.

Yang Sui, Miao Yin, Yu Gong, Jinqi Xiao, Huy Phan, Bo Yuan

CoRR, 2024

BitsFusion: 1.99 bits Weight Quantization of Diffusion Model.

Yang Sui, Yanyu Li, Anil Kag, Yerlan Idelbayev, Junli Cao, Ju Hu, Dhritiman Sagar, Bo Yuan, Sergey Tulyakov, Jian Ren

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MOPED: Efficient Motion Planning Engine with Flexible Dimension Support.

Lingyi Huang, Yu Gong, Yang Sui, Xiao Zang, Bo Yuan

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

MoE-I²: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition.

Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Clean and Compact: Efficient Data-Free Backdoor Defense with Model Compactness.

Huy Phan, Jinqi Xiao, Yang Sui, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan

Proceedings of the Computer Vision - ECCV 2024, 2024

Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations.

Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen

Proceedings of the Data Compression Conference, 2024

Invited: Algorithm and Hardware Co-Design for Energy-Efficient Neural SLAM.

Lingyi Huang, Cheng Yang, Yu Gong, Yang Sui, Xiao Zang, Anthony Goeckner, Qi Zhu, Bo Yuan

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

Transferable Learned Image Compression-Resistant Adversarial Perturbations.

Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen

Proceedings of the 35th British Machine Vision Conference, 2024

2023

In-Sensor Radio Frequency Computing for Energy-Efficient Intelligent Radar.

Yang Sui, Minning Zhu, Lingyi Huang, Chung-Tse Michael Wu, Bo Yuan

CoRR, 2023

Learning-based Homography Matrix Optimization for Dual-fisheye Video Stitching.

Mufeng Zhu, Yang Sui, Bo Yuan, Yao Liu

Proceedings of the 2023 Workshop on Emerging Multimedia Systems, 2023

ETTE: Efficient Tensor-Train-based Computing Engine for Deep Neural Networks.

Yu Gong, Miao Yin, Lingyi Huang, Jinqi Xiao, Yang Sui, Chunhua Deng, Bo Yuan

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

DynGMP: Graph Neural Network-Based Motion Planning in Unpredictable Dynamic Environments.

Wenjin Zhang, Xiao Zang, Lingyi Huang, Yang Sui, Jingjin Yu, Yingying Chen, Bo Yuan

IROS, 2023

Invited Paper: In-Sensor Radio Frequency Computing for Energy-Efficient Intelligent Radar.

Yang Sui, Minning Zhu, Lingyi Huang, Chung-Tse Michael Wu, Bo Yuan

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

DSPIMM: A Fully Digital SParse In-Memory Matrix Vector Multiplier for Communication Applications.

Amitesh Sridharan, Fan Zhang, Yang Sui, Bo Yuan, Deliang Fan

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

HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks.

Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness.

Huy Phan, Miao Yin, Yang Sui, Bo Yuan, Saman A. Zonouz

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition.

Yu Gong, Miao Yin, Lingyi Huang, Chunhua Deng, Yang Sui, Bo Yuan

CoRR, 2022

HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks.

Miao Yin, Yang Sui, Wanzhao Yang, Xiao Zang, Yu Gong, Bo Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

CHIP: CHannel Independence-based Pruning for Compact Neural Networks.

Yang Sui, Miao Yin, Yi Xie, Huy Phan, Saman A. Zonouz, Bo Yuan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GoSPA: An Energy-efficient High-performance Globally Optimized SParse Convolutional Neural Network Accelerator.

Chunhua Deng, Yang Sui, Siyu Liao, Xuehai Qian, Bo Yuan

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Algorithm and Hardware Co-design for Deep Learning-powered Channel Decoder: A Case Study.

Boyang Zhang, Yang Sui, Lingyi Huang, Siyu Liao, Chunhua Deng, Bo Yuan

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework.

Miao Yin, Yang Sui, Siyu Liao, Bo Yuan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021