Sparse Unmixing for Hyperspectral Image with Nonlocal Low-Rank Prior. - Feiyang Wu; Yuhui Zheng; Le Sun 002 (IScIDE (1), 2019)

Sparse Unmixing for Hyperspectral Image with Nonlocal Low-Rank Prior. - Yuhui Zheng; Feiyang Wu; Hiuk Jae Shim; Le Sun 002 (Remote. Sens., 2019)

DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration. - Zhuoran Song; Bangqi Fu; Feiyang Wu; Zhaoming Jiang; Li Jiang 002; Naifeng Jing; Xiaoyao Liang (ISCA, 2020)

VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration. - Zhuoran Song; Feiyang Wu; Xueyuan Liu 001; Jing Ke; Naifeng Jing; Xiaoyao Liang (MICRO, 2020)

Weighted Nonlocal Low-Rank Tensor Decomposition Method for Sparse Unmixing of Hyperspectral Images. - Le Sun 002; Feiyang Wu; Tianming Zhan; Wei Liu 010; Jin Wang 001; Byeungwoo Jeon (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

PIPArch: Programmable Image Processing Architecture Using Sliding Array. - Feiyang Wu; Zhuoran Song; Jing Ke; Li Jiang 002; Naifeng Jing; Xiaoyao Liang (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Increasing Quantum Correlations Based on Measurement-Induced Disturbance via a Swapping Procedure with Two-Qubit Mixed States. - Chuanmei Xie; Feiyang Wu; Zhanjun Zhang; Jiawei Liang; Xiaofeng Yin (Entropy, 2021)

Deep hybrid neural-like P systems for multiorgan segmentation in head and neck CT/MR images. - Jie Xue 001; Yuan Wang; Deting Kong; Feiyang Wu; Anjie Yin; Jianhua Qu; Xiyu Liu 001 (Expert Syst. Appl., 2021)

Stochastic first-order methods for average-reward Markov decision processes. - Tianjiao Li; Feiyang Wu; Guanghui Lan (CoRR, 2022)

Weighted Collaborative Sparse and L1/2 Low-Rank Regularizations With Superpixel Segmentation for Hyperspectral Unmixing. - Le Sun 002; Feiyang Wu; Chengxun He; Tianming Zhan; Wei Liu 010; Daopan Zhang (IEEE Geosci. Remote. Sens. Lett., 2022)

SAniHead: Sketching Animal-Like 3D Character Heads Using a View-Surface Collaborative Mesh Generative Network. - Dong Du 002; Xiaoguang Han 001; Hongbo Fu 001; Feiyang Wu; Yizhou Yu; Shuguang Cui; Ligang Liu 001 (IEEE Trans. Vis. Comput. Graph., 2022)

Learning Visual Navigation System in Simulation for Autonomous Ground Vehicles in Real World. - Feiyang Wu; Danping Zou (AIEE, 2023)

Inverse Reinforcement Learning with the Average Reward Criterion. - Feiyang Wu; Jingyang Ke; Anqi Wu (NeurIPS, 2023)

MovieChat: From Dense Token to Sparse Memory for Long Video Understanding. - Enxin Song; Wenhao Chai; Guanhong Wang; Yucheng Zhang; Haoyang Zhou; Feiyang Wu; Xun Guo; Tian Ye 001; Yan Lu; Jenq-Neng Hwang; Gaoang Wang (CoRR, 2023)

MovieChat: From Dense Token to Sparse Memory for Long Video Understanding. - Enxin Song; Wenhao Chai; Guanhong Wang; Yucheng Zhang; Haoyang Zhou; Feiyang Wu; Haozhe Chi; Xun Guo; Tian Ye 001; Yanting Zhang 001; Yan Lu; Jenq-Neng Hwang; et al. (CVPR, 2024)

Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning. - Feiyang Wu; Zhaoyuan Gu; Hanran Wu; Anqi Wu; Ye Zhao 002 (ICRA, 2024)

Learn to Teach: Improve Sample Efficiency in Teacher-student Learning for Sim-to-Real Transfer. - Feiyang Wu; Zhaoyuan Gu; Ye Zhao 002; Anqi Wu (CoRR, 2024)

vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. - Jiale Xu; Rui Zhang; Cong Guo 003; Weiming Hu; Zihan Liu 002; Feiyang Wu; Yu Feng 007; Shixuan Sun; Changxu Shao; Yuhong Guo; Junping Zhao; Ke Zhang; et al. (CoRR, 2024)

A tube-based model predictive control method for intelligent vehicles path tracking. - Xu Yang; Feiyang Wu; Linqiu Gui; Shengshi Zhong (Clust. Comput., 2024)

Semantic and Sentiment Dual-Enhanced Generative Model for Script Event Prediction. - Feiyang Wu; Peixin Huang; Yanli Hu; Zhen Tan; Xiang Zhao 002 (COLING, 2025)

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors. - Jingyang Ke; Feiyang Wu; Jiyi Wang; Jeffrey Markowitz; Anqi Wu (CoRR, 2025)

TokenSim: Enabling Hardware and Software Exploration for Large Language Model Inference Systems. - Feiyang Wu; Zhuohang Bian; Guoyang Duan; Tianle Xu; Junchi Wu; Teng Ma; Yongqiang Yao; Ruihao Gong; Youwei Zhuo (CoRR, 2025)

Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion Over Real-World Uneven Terrain. - Feiyang Wu; Xavier Nal; Jaehwi Jang; Wei Zhu 028; Zhaoyuan Gu; Anqi Wu; Ye Zhao 002 (IEEE Robotics Autom. Lett., 2025)