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Journal Articles
- 2024
[j7]Xu Yang, Feiyang Wu, Linqiu Gui, Shengshi Zhong:
A tube-based model predictive control method for intelligent vehicles path tracking. Clust. Comput. 27(8): 10343-10357 (2024)- 2022
- [j6]Le Sun
, Feiyang Wu, Chengxun He, Tianming Zhan, Wei Liu, Daopan Zhang:
Weighted Collaborative Sparse and L1/2 Low-Rank Regularizations With Superpixel Segmentation for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j5]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): 2415-2429 (2022) - 2021
- [j4]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): 1606 (2021) - [j3]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: 114446 (2021) - 2020
- [j2]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: 1174-1188 (2020) - 2019
- [j1]Yuhui Zheng, Feiyang Wu, Hiuk Jae Shim, Le Sun:
Sparse Unmixing for Hyperspectral Image with Nonlocal Low-Rank Prior. Remote. Sens. 11(24): 2897 (2019)
Conference and Workshop Papers
- 2024
- [c8]Enxin Song, Wenhao Chai, Guanhong Wang, Yucheng Zhang, Haoyang Zhou, Feiyang Wu, Haozhe Chi, Xun Guo, Tian Ye, Yanting Zhang, Yan Lu, Jenq-Neng Hwang, Gaoang Wang:
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding. CVPR 2024: 18221-18232 - [c7]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: 16243-16250 - 2023
- [c6]Feiyang Wu, Danping Zou:
Learning Visual Navigation System in Simulation for Autonomous Ground Vehicles in Real World. AIEE 2023: 16-23 - [c5]Feiyang Wu, Jingyang Ke, Anqi Wu:
Inverse Reinforcement Learning with the Average Reward Criterion. NeurIPS 2023 - 2021
- [c4]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: 73-80 - 2020
- [c3]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: 1010-1021 - [c2]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: 698-710 - 2019
- [c1]Feiyang Wu, Yuhui Zheng, Le Sun:
Sparse Unmixing for Hyperspectral Image with Nonlocal Low-Rank Prior. IScIDE (1) 2019: 506-516
Informal and Other Publications
- 2024
- [i6]Feiyang Wu, Zhaoyuan Gu, Ye Zhao, Anqi Wu:
Learn to Teach: Improve Sample Efficiency in Teacher-student Learning for Sim-to-Real Transfer. CoRR abs/2402.06783 (2024) - [i5]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 abs/2407.15309 (2024) - 2023
- [i4]Feiyang Wu, Jingyang Ke, Anqi Wu:
Inverse Reinforcement Learning with the Average Reward Criterion. CoRR abs/2305.14608 (2023) - [i3]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 abs/2307.16449 (2023) - [i2]Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao:
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning. CoRR abs/2309.16074 (2023) - 2022
- [i1]Tianjiao Li, Feiyang Wu, Guanghui Lan:
Stochastic first-order methods for average-reward Markov decision processes. CoRR abs/2205.05800 (2022)
Coauthor Index
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