Dongliang Xiong

According to our database, Dongliang Xiong authored at least 18 papers between 2016 and 2023.

Collaborative distances:

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

2023

Structured Dynamic Precision for Deep Neural Networks Quantization.

Kai Huang, Bowen Li, Dongliang Xiong, Haitian Jiang, Xiaowen Jiang, Xiaolang Yan, Luc Claesen, Dehong Liu, Junjian Chen, Zhili Liu

ACM Trans. Design Autom. Electr. Syst., January, 2023

Efficient Halftoning via Deep Reinforcement Learning.

Haitian Jiang, Dongliang Xiong, Xiaowen Jiang, Li Ding, Liang Chen, Kai Huang

IEEE Trans. Image Process., 2023

Structured Term Pruning for Computational Efficient Neural Networks Inference.

Kai Huang, Bowen Li, Siang Chen, Luc Claesen, Wei Xi, Junjian Chen, Xiaowen Jiang, Zhili Liu, Dongliang Xiong, Xiaolang Yan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

2022

Acceleration-Aware Fine-Grained Channel Pruning for Deep Neural Networks via Residual Gating.

Kai Huang, Siang Chen, Bowen Li, Luc Claesen, Hao Yao, Junjian Chen, Xiaowen Jiang, Zhili Liu, Dongliang Xiong

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Structured precision skipping: Accelerating convolutional neural networks with budget-aware dynamic precision selection.

Kai Huang, Siang Chen, Bowen Li, Luc Claesen, Hao Yao, Junjian Chen, Xiaowen Jiang, Zhili Liu, Dongliang Xiong

J. Syst. Archit., 2022

Sample-wise dynamic precision quantization for neural network acceleration.

Bowen Li, Dongliang Xiong, Kai Huang, Xiaowen Jiang, Hao Yao, Junjian Chen, Luc Claesen

IEICE Electron. Express, 2022

Halftoning with Multi-Agent Deep Reinforcement Learning.

Haitian Jiang, Dongliang Xiong, Xiaowen Jiang, Aiguo Yin, Li Ding, Kai Huang

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

DPOQ: Dynamic Precision Onion Quantization.

Bowen Li, Kai Huang, Siang Chen, Dongliang Xiong, Luc Claesen

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Fine-Grained Channel Pruning for Deep Residual Neural Networks.

Siang Chen, Kai Huang, Dongliang Xiong, Bowen Li, Luc Claesen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results.

Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

IdleSR: Efficient Super-Resolution Network with Multi-scale IdleBlocks.

Dongliang Xiong, Kai Huang, Haitian Jiang, Bowen Li, Siang Chen, Xiaowen Jiang

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Adaptive Hybrid Composition Based Super-Resolution Network via Fine-Grained Channel Pruning.

Siang Chen, Kai Huang, Bowen Li, Dongliang Xiong, Haitian Jiang, Luc Claesen

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

DFQF: Data Free Quantization-aware Fine-tuning.

Bowen Li, Kai Huang, Siang Chen, Dongliang Xiong, Haitian Jiang, Luc Claesen

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results.

Kai Zhang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Shuhang Gu, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

NoUCSR: Efficient Super-Resolution Network without Upsampling Convolution.

Dongliang Xiong, Kai Huang, Siang Chen, Bowen Li, Haitian Jiang, Wenyuan Xu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Energy-Efficient Fault-Tolerant Mapping and Scheduling on Heterogeneous Multiprocessor Real-Time Systems.

Kai Huang, Xiaowen Jiang, Xiaomeng Zhang, Rongjie Yan, Ke Wang, Dongliang Xiong, Xiaolang Yan

IEEE Access, 2018

2017

Providing Predictable Performance via a Slowdown Estimation Model.

Dongliang Xiong, Kai Huang, Xiaowen Jiang, Xiaolang Yan

ACM Trans. Archit. Code Optim., 2017

2016

Memory Access Scheduling Based on Dynamic Multilevel Priority in Shared DRAM Systems.

Dongliang Xiong, Kai Huang, Xiaowen Jiang, Xiaolang Yan

ACM Trans. Archit. Code Optim., 2016