Shaohui Li

According to our database, Shaohui Li authored at least 49 papers between 2001 and 2024.

Collaborative distances:

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

2024

Exploring the Most Effective Information for Satellite-Derived Bathymetry Models in Different Water Qualities.

Zhen Liu, Hao Liu, Yue Ma, Xin Ma, Jian Yang, Yang Jiang, Shaohui Li

Remote. Sens., July, 2024

Revisiting Learned Image Compression With Statistical Measurement of Latent Representations.

Shaohui Li, Wenrui Dai, Yimian Fang, Ziyang Zheng, Wen Fei, Hongkai Xiong, Wei Zhang

IEEE Trans. Circuits Syst. Video Technol., April, 2024

3-D Point Cloud Attribute Compression With -Laplacian Embedding Graph Dictionary Learning.

Xin Li, Wenrui Dai, Shaohui Li, Chenglin Li, Junni Zou, Hongkai Xiong

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

GaLore+: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection.

Xutao Liao, Shaohui Li, Yuhui Xu, Zhi Li, Yu Liu, You He

CoRR, 2024

The diagnostic value of two-dimensional ultrasound Su-RADS combined with shear wave elastography for benign and malignant lesions of the gastric wall.

Jingjing Xue, Guorong Lyu, Shaohui Li

BMC Medical Imaging, 2024

Rethinking Offline Reinforcement Learning for Sequential Recommendation from A Pair-Wise Q-Learning Perspective.

Runqi Yang, Liu Yu, Zhi Li, Shaohui Li, Likang Wu

Proceedings of the International Joint Conference on Neural Networks, 2024

ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation.

Nantian He, Shaohui Li, Zhi Li, Yu Liu, You He

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Frequency-Aware Transformer for Learned Image Compression.

Han Li, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation.

Han Li, Shaohui Li, Shuangrui Ding, Wenrui Dai, Maida Cao, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the Computer Vision - ECCV 2024, 2024

Entropy Relaxed Lattice Vector Quantization for Learned Image Compression.

Maida Cao, Wenrui Dai, Shaohui Li, Han Li, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the Data Compression Conference, 2024

Multi-Agent Collaborative Perception via Motion-Aware Robust Communication Network.

Shixin Hong, Yu Liu, Zhi Li, Shaohui Li, You He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dual-Policy-Guided Offline Reinforcement Learning with Optimal Stopping.

Weibo Jiang, Shaohui Li, Zhi Li, Yuxin Ke, Zhizhuo Jiang, Yaowen Li, Yu Liu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Learned Progressive Image Compression With Dead-Zone Quantizers.

Shaohui Li, Han Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

IEEE Trans. Circuits Syst. Video Technol., June, 2023

Anisotropic Spherical Scattering Networks via Directional Spin Wavelet.

Yuehan Xiong, Wenrui Dai, Wen Fei, Shaohui Li, Hongkai Xiong

IEEE Trans. Signal Process., 2023

QoE-Driven Adaptive Streaming for Point Clouds.

Lisha Wang, Chenglin Li, Wenrui Dai, Shaohui Li, Junni Zou, Hongkai Xiong

IEEE Trans. Multim., 2023

Learned Lossless Compression for JPEG via Frequency-Domain Prediction.

Jixiang Luo, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

CoRR, 2023

Learned Progressive Image Compression With Spatial Autoregression.

Wenxin Tian, Shaohui Li, Wenrui Dai, Cewu Lu, Weisheng Hu, Lin Zhang, Junfeng Du, Hongkai Xiong

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Multi-agent Perception via Co-attentive Communication Mechanism.

Ning Gong, Zhi Li, Shaohui Li, Yuxin Ke, Zhizhuo Jiang, Yaowen Li, Yu Liu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Fully Integerized End-to-End Learned Image Compression.

Yimian Fang, Wen Fei, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the Data Compression Conference, 2023

2022

Dataset for Paper.

Shaohui Li

Dataset, May, 2022

An algorithm with harmonious blending of distributed swarm intelligence and geometric Brownian motion for greener heterogeneous scheduling.

Jinglian Wang, Bin Gong, Hong Liu, Shaohui Li

Appl. Intell., 2022

Improving Optical Flow Inference for Video Colorization.

Rulin Huang, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Efficient Decoder for Learned Image Compression via Structured Pruning.

Liewen Liao, Shaohui Li, Jixiang Luo, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the Data Compression Conference, 2022

Graph Dictionary Learning for 3-D Point Cloud Compression.

Xin Li, Wenrui Dai, Shaohui Li, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the Data Compression Conference, 2022

Video Compression via Inter-frame Chroma Prediction.

Rulin Huang, Shaohui Li, Wenrui Dai, Jixiang Luo, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the Data Compression Conference, 2022

Entropy Modeling via Gaussian Process Regression for Learned Image Compression.

Maida Cao, Wenrui Dai, Shaohui Li, Chenglin Li, Junni Zou, Ying Chen, Hongkai Xiong

Proceedings of the Data Compression Conference, 2022

2021

Reversible Autoencoder: A CNN-Based Nonlinear Lifting Scheme for Image Reconstruction.

Shaohui Li, Wenrui Dai, Ziyang Zheng, Chenglin Li, Junni Zou, Hongkai Xiong

IEEE Trans. Signal Process., 2021

A Greener Meta-Heuristics Scheduling Algorithm With Energized Optimization Dynamics by Deeper Intelligence Fusion.

Jinglian Wang, Bin Gong, Hong Liu, Shaohui Li

IEEE Access, 2021

A Greener Heterogeneous Scheduling Algorithm via Blending Pattern of Particle Swarm Computing Intelligence and Geometric Brownian Motion.

Shaohui Li, Hong Liu, Bin Gong, Jinglian Wang

IEEE Access, 2021

Learned Image Compression with Channel-Wise Grouped Context Modeling.

Liang Yuan, Jixiang Luo, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Lossless Compression for Video Streams with Frequency Prediction and Macro Block Merging.

Jixiang Luo, Shaohui Li, Wenrui Dai, De Cheng, Gang Li, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the 31st Data Compression Conference, 2021

2020

Wavelet-Based Kalman Smoothing Method for Uncertain Parameters Processing: Applications in Oil Well-Testing Data Denoising and Prediction.

Xin Feng, Qiang Feng, Shaohui Li, Xingwei Hou, Mengqiu Zhang, Shugui Liu

Sensors, 2020

Inkjet-Printed Iontronics for Transparent, Elastic, and Strain-Insensitive Touch Sensing Matrix.

Dace Gao, Jiangxin Wang, Kaixuan Ai, Jiaqing Xiong, Shaohui Li, Pooi See Lee

Adv. Intell. Syst., 2020

An Algorithm Incarnating Deep Integration of Hardware-Software Energy Regulation Principles for Heterogeneous Green Scheduling.

Shaohui Li, Hong Liu, Bin Gong, Jinglian Wang

IEEE Access, 2020

Automatic Deep Vector Learning Model Applied for Oil-Well-Testing Feature Mining, Purification and Classification.

Xin Feng, Qiang Feng, Shaohui Li, Xingwei Hou, Mengqiu Zhang, Shugui Liu

IEEE Access, 2020

DSCR-Net: A Diffractive Sensing and Complex-Valued Reconstruction Network for Compressive Sensing.

Ziyang Zheng, Shanghong Wang, Shaohui Li, Wenrui Dai, Junni Zou, Feifei Li, Hongkai Xiong

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

REV-AE: A Learned Frame Set for Image Reconstruction.

Shaohui Li, Ziyang Zheng, Wenrui Dai, Junni Zou, Hongkai Xiong

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding.

Jixiang Luo, Shaohui Li, Wenrui Dai, Yuhui Xu, De Cheng, Gang Li, Hongkai Xiong

Proceedings of the Data Compression Conference, 2020

2019

Intelligent scheduling with deep fusion of hardware-software energy-saving principles for greening stochastic nonlinear heterogeneous super-systems.

Jinglian Wang, Bin Gong, Hong Liu, Shaohui Li

Appl. Intell., 2019

Image Super-Resolution via Simplified Dense Network With Non-Degenerate Layers.

Zhimin Tang, Shaohui Li, Linkai Luo, Min Fu, Hong Peng, Qifeng Zhou

IEEE Access, 2019

Lossy Image Compression with Filter Bank Based Convolutional Networks.

Shaohui Li, Ziyang Zheng, Wenrui Dai, Hongkai Xiong

Proceedings of the Data Compression Conference, 2019

2018

A joint residual network with paired ReLUs activation for image super-resolution.

Zhimin Tang, Linkai Luo, Hong Peng, Shaohui Li

Neurocomputing, 2018

Query Optimization for Massive RDF Data Based on Spark.

Shaohui Li, Derong Shen, Yue Kou, Dan Yang

Proceedings of the 4th International Conference on Big Data Computing and Communications, 2018

2017

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.

Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2015

Multidisciplinary approaches to artificial swarm intelligence for heterogeneous computing and cloud scheduling.

Jinglian Wang, Bin Gong, Hong Liu, Shaohui Li

Appl. Intell., 2015

2013

The Study of Culture Sharing Project Based on Cloud Computing.

Shaohui Li, Dingxiang Wang

Proceedings of the Sixth International Conference on Business Intelligence and Financial Engineering, 2013

2012

Promoting the Public Service Performance Evaluation: An Alternative View from Performance Culture Perspective.

Shaohui Li, Hong Ma

Proceedings of the Fifth International Conference on Business Intelligence and Financial Engineering, 2012

2007

PISA: P2P Wi-Fi Internet Sharing Architecture.

Tobias Heer, Shaohui Li, Klaus Wehrle

Proceedings of the Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007), 2007

2001

A novel electro-optic hybrid current measurement instrument for high-voltage power lines.

Gang Zhang, Shaohui Li, Zhipeng Zhang, Wei Cao

IEEE Trans. Instrum. Meas., 2001