Feiyang Wu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Inverse Reinforcement Learning

Tensor Decomposition

Top Venues

Expert Syst. Appl.

IEEE Trans. Vis. Comput. Graph.

Publications

Jiale Xu, Rui Zhang, Cong Guo, Weiming Hu, Zihan Liu, Feiyang Wu, Yu Feng, Shixuan Sun, Changxu Shao, Yuhong Guo, Junping Zhao, Ke Zhang, Minyi Guo, Jingwen Leng
vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. CoRR (2024)
Feiyang Wu, Zhaoyuan Gu, Ye Zhao, Anqi Wu
Learn to Teach: Improve Sample Efficiency in Teacher-student Learning for Sim-to-Real Transfer. CoRR (2024)
Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning. ICRA (2024)
Feiyang Wu, Jingyang Ke, Anqi Wu
Inverse Reinforcement Learning with the Average Reward Criterion. NeurIPS (2023)
Feiyang Wu, Jingyang Ke, Anqi Wu
Inverse Reinforcement Learning with the Average Reward Criterion. CoRR (2023)
Feiyang Wu, Danping Zou
Learning Visual Navigation System in Simulation for Autonomous Ground Vehicles in Real World. AIEE (2023)
Enxin Song, Wenhao Chai, Guanhong Wang, Yucheng Zhang, Haoyang Zhou, Feiyang Wu, Xun Guo, Tian Ye, Yan Lu, Jenq-Neng Hwang, Gaoang Wang
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding. CoRR (2023)
Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning. CoRR (2023)
Tianjiao Li, Feiyang Wu, Guanghui Lan
Stochastic first-order methods for average-reward Markov decision processes. CoRR (2022)
Le Sun, Feiyang Wu, Chengxun He, Tianming Zhan, Wei Liu, Daopan Zhang
Low-Rank Regularizations With Superpixel Segmentation for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Dong Du, Xiaoguang Han, Hongbo Fu, Feiyang Wu, Yizhou Yu, Shuguang Cui, Ligang Liu
SAniHead: Sketching Animal-Like 3D Character Heads Using a View-Surface Collaborative Mesh Generative Network. IEEE Trans. Vis. Comput. Graph. 28 (6) (2022)
Jie Xue, Yuan Wang, Deting Kong, Feiyang Wu, Anjie Yin, Jianhua Qu, Xiyu Liu
Deep hybrid neural-like P systems for multiorgan segmentation in head and neck CT/MR images. Expert Syst. Appl. 168 (2021)
Feiyang Wu, Zhuoran Song, Jing Ke, Li Jiang, Naifeng Jing, Xiaoyao Liang
PIPArch: Programmable Image Processing Architecture Using Sliding Array. ISPA/BDCloud/SocialCom/SustainCom (2021)
Chuanmei Xie, Feiyang Wu, Zhanjun Zhang, Jiawei Liang, Xiaofeng Yin
Increasing Quantum Correlations Based on Measurement-Induced Disturbance via a Swapping Procedure with Two-Qubit Mixed States. Entropy 23 (12) (2021)
Zhuoran Song, Bangqi Fu, Feiyang Wu, Zhaoming Jiang, Li Jiang, Naifeng Jing, Xiaoyao Liang
DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration. ISCA (2020)
Le Sun, Feiyang Wu, Tianming Zhan, Wei Liu, Jin Wang, Byeungwoo Jeon
Weighted Nonlocal Low-Rank Tensor Decomposition Method for Sparse Unmixing of Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Zhuoran Song, Feiyang Wu, Xueyuan Liu, Jing Ke, Naifeng Jing, Xiaoyao Liang
VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration. MICRO (2020)
Feiyang Wu, Yuhui Zheng, Le Sun
Sparse Unmixing for Hyperspectral Image with Nonlocal Low-Rank Prior. IScIDE (1) (2019)
Yuhui Zheng, Feiyang Wu, Hiuk Jae Shim, Le Sun
Sparse Unmixing for Hyperspectral Image with Nonlocal Low-Rank Prior. Remote. Sens. 11 (24) (2019)