Postprocessing for quantum random number generators: entropy evaluation and randomness extraction - Xiongfeng Ma; Feihu Xu; He Xu; Xiaoqing Tan; Bing Qi; Hoi-Kwong Lo (CoRR, 2012)

Loss-tolerant quantum secure positioning with weak laser sources. - Charles Ci Wen Lim; Feihu Xu; George Siopsis; Eric Chitambar; Philip G. Evans; Bing Qi (CoRR, 2016)

Exploiting Occlusion in Non-Line-of-Sight Active Imaging. - Christos Thrampoulidis; Gal Shulkind; Feihu Xu; William T. Freeman; Jeffrey H. Shapiro; Antonio Torralba 001; Franco N. C. Wong; Gregory W. Wornell (IEEE Trans. Computational Imaging, 2018)

Deep Learning Based Single-Photon 3D Imaging with Multiple Returns. - Hao Tan; Jiayong Peng; Zhiwei Xiong; Dong Liu 002; Xin Huang; Zheng-Ping Li; Yu Hong 004; Feihu Xu (3DV, 2020)

Photon-Efficient 3D Imaging with A Non-local Neural Network. - Jiayong Peng; Zhiwei Xiong; Xin Huang; Zheng-Ping Li; Dong Liu 002; Feihu Xu (ECCV (6), 2020)

Open-Destination Measurement-Device-Independent Quantum Key Distribution Network. - Wen-Fei Cao; Yi-Zheng Zhen; Yu-Lin Zheng; Shuai Zhao; Feihu Xu; Li Li; Zeng-Bing Chen; Nai-Le Liu; Kai Chen 008 (Entropy, 2020)

Field demonstration of distributed quantum sensing without post-selection. - Si-Ran Zhao; Yu-Zhe Zhang; Wen-Zhao Liu; Jian-Yu Guan; Weijun Zhang; Cheng-Long Li; Bing Bai; Ming-Han Li; Yang Liu 171; Lixing You; Jun Zhang; Jingyun Fan; et al. (OFC, 2021)

Photon-Efficient Non-Line-of-Sight Imaging. - Jianjiang Liu; Yijun Zhou; Xin Huang; Zheng-Ping Li; Feihu Xu (IEEE Trans. Computational Imaging, 2022)

NLOST: Non-Line-of-Sight Imaging with Transformer. - Yue Li; Jiayong Peng; Juntian Ye; Yueyi Zhang; Feihu Xu; Zhiwei Xiong (CVPR, 2023)

Deep Non-line-of-sight Imaging from Under-scanning Measurements. - Yue Li; Yueyi Zhang; Juntian Ye; Feihu Xu; Zhiwei Xiong (NeurIPS, 2023)

A chip-based quantum access network without trusted relays. - Feihu Xu (OFC, 2023)

Boosting Photon-Efficient Image Reconstruction With A Unified Deep Neural Network. - Jiayong Peng; Zhiwei Xiong; Hao Tan; Xin Huang; Zheng-Ping Li; Feihu Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multi-scale Iterative Model-guided Unfolding Network for NLOS Reconstruction. - Xiongfei Su; Yu Hong 004; Juntian Ye; Feihu Xu; Xin Yuan 002 (Comput. Graph. Forum, 2023)

Toward Dynamic Non-Line-of-Sight Imaging with Mamba Enforced Temporal Consistency. - Yue Li; Yi Sun; Shida Sun; Juntian Ye; Yueyi Zhang; Feihu Xu; Zhiwei Xiong (NeurIPS, 2024)

A lightweight weld defect recognition algorithm based on convolutional neural networks. - Wenjie Zhao; Dan Li 025; Feihu Xu (Pattern Anal. Appl., 2024)

Plug-and-Play Algorithms for Dynamic Non-line-of-sight Imaging. - Juntian Ye; Yu Hong 004; Xiongfei Su; Xin Yuan 002; Feihu Xu (ACM Trans. Graph., 2024)

Real-time non-line-of-sight computational imaging using spectrum filtering and motion compensation. - Juntian Ye; Yi Sun; Wenwen Li; Jian-Wei Zeng; Yu Hong 004; Zheng-Ping Li; Xin Huang; Xianghui Xue; Xin Yuan 002; Feihu Xu; Xiankang Dou; Jian-Wei Pan (Nat. Comput. Sci., 2024)

Curvature Regularization for Non-Line-of-Sight Imaging From Under-Sampled Data. - Rui Ding; Juntian Ye; Qifeng Gao; Feihu Xu; Yuping Duan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Dual-branch Graph Feature Learning for NLOS Imaging. - Xiongfei Su; Tianyi Zhu; Lina Liu 010; Zheng Chen 014; Yulun Zhang 001; Siyuan Li; Juntian Ye; Feihu Xu; Xin Yuan 002 (AAAI, 2025)