Yongsheng Liang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
14
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression. | Youneng Bao, Yulong Cheng, Yiping Liu, Yichen Yang, Peng Qin, Mu Li, Yongsheng Liang |
| 2025 | CVPR | NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results. | Xin Li, Yeying Jin, Xin Jin, Zongwei Wu, Bingchen Li, Yufei Wang, Wenhan Yang, Yu Li, Zhibo Chen, Bihan Wen, Robby T. Tan, Radu Timofte, Qiyu Rong, Hongyuan Jing, Mengmeng Zhang, Jinglong Li, Xiangyu Lu, Yi Ren, Yuting Liu, Meng Zhang, Xiang Chen, Qiyuan Guan, Jiangxin Dong, Jinshan Pan, Conglin Gou, Qirui Yang, Fangpu Zhang, Yunlong Lin, Sixiang Chen, Guoxi Huang, Ruirui Lin, Yan Zhang, Jingyu Yang, Huanjing Yue, Jiyuan Chen, Qiaosi Yi, Hongjun Wang, Chenxi Xie, Shuai Li, Yuhui Wu, Kaiyi Ma, Jiakui Hu, Juncheng Li, Liwen Pan, Guangwei Gao, Wenjie Li, Zhenyu Jin, Heng Guo, Zhanyu Ma, Yubo Wang, Jinghua Wang, Wangzhi Xing, Anjusree Karnavar, Diqi Chen, Mohammad Aminul Islam, Hao Yang, Ruikun Zhang, Liyuan Pan, Qianhao Luo, Xin Cao, Han Zhou, Yan Min, Wei Dong, Jun Chen, Taoyi Wu, Weijia Dou, Yu Wang, Shengjie Zhao, Yongcheng Huang, Xingyu Han, Anyan Huang, Hongtao Wu, Hong Wang, Yefeng Zheng, Abhijeet Kumar, Aman Kumar, Marcos V. Conde, Paula Garrido, Daniel Feijoo, Juan C. Benito, Guanglu Dong, Xin Lin, Siyuan Liu, Tianheng Zheng, Jiayu Zhong, Shouyi Wang, Xiangtai Li, Lanqing Guo, Lu Qi, Chao Ren, Shuaibo Wang, Shilong Zhang, Wanyu Zhou, Yunze Wu, Qinzhong Tan, Jieyuan Pei, Zhuoxuan Li, Jiayu Wang, Haoyu Bian, Haoran Sun, Subhajit Paul, Ni Tang, Junhao Huang, Zihan Cheng, Hongyun Zhu, Yuehan Wu, Kaixin Deng, Huang Ouyang, Tianxin Xiao, Fan Yang, Zhizun Luo, Zeyu Xiao, Zhuoyuan Li, Pham Hoang Le Nguyen, Dinh Thien An, Luu Thanh Son, Kiet Van Nguyen, Ronghua Xu, Xianmin Tian, Weijian Zhou, Jiacheng Zhang, Yuqian Chen, Yihang Duan, Yujie Wu, Suresh Raikwar, Arsh Garg, Kritika Kritika, Jianhua Zheng, Xiaoshan Ma, Ruolin Zhao, Yongyu Yang, Yongsheng Liang, Guiming Huang, Qiang Li, Hongbin Zhang, Xiangyu Zheng, A. N. Rajagopalan |
| 2025 | GLOBECOM | Robust Deep Joint Source-Channel Coding for Video Transmission over Multipath Fading Channel. | Bohuai Xiao, Jian Zou, Fanyang Meng, Wei Liu, Yongsheng Liang |
| 2025 | ICASSP | Deep Receiver for Multi-Layer Data Transmission with Superimposed Pilots. | Jian Zou, Jian Xiao, Qingyu Mao, Shuai Liu, Bohuai Xiao, Yongsheng Liang |
| 2025 | ICCV | Dataset Distillation as Data Compression: A Rate-Utility Perspective. | Youneng Bao, Yiping Liu, Zhuo Chen, Yongsheng Liang, Mu Li, Kede Ma |
| 2025 | ICIP | DMSO: A Dynamic Momentum-Smoothing Optimizer for Learned Image Compression. | Chao Li, Chuanmin Jia, Fanyang Meng, Hao Qi, Siwei Ma, Yongsheng Liang |
| 2025 | ICIP | Towards Robust Text-Guided Image Compression Under Modality Missing. | Genhong Wang, Wen Tan, Fanyang Meng, Yongsheng Liang |
| 2025 | ISCAS | Grouped Transform for Ultra-Low-Complexity Learned Image Compression. | Wen Tan, Youneng Bao, Fanyang Meng, Yongsheng Liang |
| 2025 | ISCAS | Structured Sparsity Learning for Efficient Learned Image Compression. | Wen Tan, Youneng Bao, Fanyang Meng, Chao Li, Lihan Zhu, Yongsheng Liang |
| 2024 | ICASSP | Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression. | Zhi Cao, Youneng Bao, Fanyang Meng, Chao Li, Wen Tan, Genhong Wang, Yongsheng Liang |
| 2024 | ICASSP | Leveraging Redundancy in Feature for Efficient Learned Image Compression. | Peng Qin, Youneng Bao, Fanyang Meng, Wen Tan, Chao Li, Genhong Wang, Yongsheng Liang |
| 2024 | ICASSP | Bandwidth-Efficient Inference for Nerual Image Compression. | Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu |
| 2023 | ICIP | A Decoupled Spatial-Channel Inverted Bottleneck For Image Compression. | Yuting Hu, Wen Tan, Fanyang Meng, Yongsheng Liang |
| 2022 | ICASSP | AdderIC: Towards Low Computation Cost Image Compression. | Bowen Li, Xin Yao, Chao Li, Youneng Bao, Fanyang Meng, Yongsheng Liang |
| 2022 | ICASSP | Universal Efficient Variable-Rate Neural Image Compression. | Shanzhi Yin, Chao Li, Youneng Bao, Yongsheng Liang, Fanyang Meng, Wei Liu |
| 2022 | ICIP | Exploring Structural Sparsity in Neural Image Compression. | Shanzhi Yin, Chao Li, Fanyang Meng, Wen Tan, Youneng Bao, Yongsheng Liang, Wei Liu |
| 2021 | CEC | Enhancing Cooperative Coevolution for Large Scale Optimization by Exploiting Decomposition Solutions. | An Chen, Zhigang Ren, Yongsheng Liang, Daofu Guo |
| 2021 | ICIP | Mbb: A Multi-Scale Method For Data Based On Bit Plane Slicing. | Youneng Bao, Chao Li, Fanyang Meng, Yongsheng Liang, Wei Liu, Kaiyu Liu |
| 2021 | MICCAI | Learnable Oriented-Derivative Network for Polyp Segmentation. | Mengjun Cheng, Zishang Kong, Guoli Song, Yonghong Tian, Yongsheng Liang, Jie Chen |
| 2020 | AAAI | Multi-Task Driven Feature Models for Thermal Infrared Tracking. | Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Wei Liu, Yongsheng Liang |
| 2020 | CEC | Scaling Up Radial Basis Function for High-Dimensional Expensive Optimization Using Random Projection. | Daofu Guo, Zhigang Ren, Yongsheng Liang, An Chen |
| 2020 | CEC | Traffic Signal Optimization with Estimation of Distribution Algorithms and VISSIM-MATLAB Integrated Simulation Platform. | Yongsheng Liang, Zhigang Ren, An Chen, Daofu Guo |
| 2020 | DCC | Binary Representation and High Efficient Compression of 3D CNN Features for Action Recognition. | Peiyin Xing, Peixi Peng, Yongsheng Liang, Tiejun Huang, Yonghong Tian |
| 2020 | MICCAI | BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting. | Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Ruizhe Geng, Hongliang He, Shan Du, Xia Liu, Yonghong Tian, Yongsheng Liang, S. Kevin Zhou, Jie Chen |
| 2019 | ISKE | MSANet: A Multi-Scale Attention Module. | Yucheng Huang, Wei Liu, Chao Li, Yongsheng Liang, Huo-Xiang Yang, Fanyang Meng |
| 2019 | SMC | A Mahalanobis Distance-Based Fitness Approximation Method for Estimation of Distribution Algorithms in Solving Expensive Optimization Problems. | Yongsheng Liang, Zhigang Ren, Yang Yang, An Chen, Daofu Guo, Bei Pang |
| 2018 | GECCO | A historical interdependency based differential grouping algorithm for large scale global optimization. | An Chen, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang |
| 2018 | GECCO | A global information based adaptive threshold for grouping large scale optimization problems. | An Chen, Yipeng Zhang, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang |
| 2018 | GECCO | Niching an archive-based gaussian estimation of distribution algorithm via adaptive clustering. | Yongsheng Liang, Zhigang Ren, Bei Pang, An Chen |
| 2018 | GECCO | Enhancing cooperative coevolution for large scale optimization by adaptively constructing surrogate models. | Bei Pang, Zhigang Ren, Yongsheng Liang, An Chen |
| 2017 | CEC | Inferior solutions in Gaussian EDA: Useless or useful? | Yongsheng Liang, Zhigang Ren, Lin Wang, Bei Pang, Mohammad Moinul Hossain |
| 2017 | GECCO | An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems. | Zhigang Ren, An Chen, Lin Wang, Yongsheng Liang, Bei Pang |
| 2017 | ICIP | A bidirectional adaptive bandwidth mean shift strategy for clustering. | Fanyang Meng, Hong Liu, Yongsheng Liang, Liu Wei, Jihong Pei |
| 2016 | CEC | Enhance continuous estimation of distribution algorithm by variance enlargement and reflecting sampling. | Zhigang Ren, Chenlong He, Dexing Zhong, Shanshan Huang, Yongsheng Liang |
| 2012 | IJCNN | A discrete-time switching neural network for quadratic programming. | Sanfeng Chen, Shuai Li, Yongsheng Liang, Y. Lou |
| 2012 | IJCNN | A recurrent neural network for inter-localization of mobile phones. | Shuai Li, Sanfeng Chen, Y. Lou, B. Lu, Yongsheng Liang |