Background subtraction and dust storm detection. - Chenyi Liu; Paul W. Fieguth; Christoph S. Garbe (IGARSS, 2012)

Noise-compensated homotopic non-local regularized reconstruction for rapid retinal optical coherence tomography image acquisitions. - Chenyi Liu; Alexander Wong; Paul W. Fieguth; Kostadinka K. Bizheva; Hongxia Bie (BMC Medical Imaging, 2014)

Homotopic non-local regularized reconstruction from sparse positron emission tomography measurements. - Alexander Wong; Chenyi Liu; Xiao Wang; Paul W. Fieguth; Hongxia Bie (BMC Medical Imaging, 2015)

Automatic tracking of pupillary dynamics from in vivo functional optical coherence tomography images. - Chenyi Liu; Alexander Wong; Alireza A. Moayed; Paul W. Fieguth; Hongxia Bie; Kostadinka K. Bizheva (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016)

Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. - Yansen Wang; Chenyi Liu; Minlie Huang; Liqiang Nie (ACL (1), 2018)

Robust visual tracking based on deep convolutional neural networks and kernelized correlation filters. - Hua Yang 002; Donghong Zhong; Chenyi Liu; Kaiyou Song; Zhouping Yin (J. Electronic Imaging, 2018)

A Method of Fault Monitoring and Diagnosis for the Thickener in Hydrometallurgy. - Dong Xiao; Ba Tuan Le; Zhichao Yu; Chenyi Liu; Hongzong Li; Qifei He; Hongfei Xie; Jichun Wang (IEEE Access, 2019)

Large-Truck Safety Warning System Based on Lightweight SSD Model. - Dong Xiao; Hongzong Li; Chenyi Liu; Qifei He (Comput. Intell. Neurosci., 2019)

Adaptive and Low-cost Traffic Engineering based on Traffic Matrix Classification. - Nan Geng; Mingwei Xu; Yuan Yang 001; Enhuan Dong; Chenyi Liu (ICCCN, 2020)

DRL-OR: Deep Reinforcement Learning-based Online Routing for Multi-type Service Requirements. - Chenyi Liu; Mingwei Xu; Yuan Yang 001; Nan Geng (INFOCOM, 2021)

Distributed and Adaptive Traffic Engineering with Deep Reinforcement Learning. - Nan Geng; Mingwei Xu; Yuan Yang 001; Chenyi Liu; Jiahai Yang 001; Qi Li 002; Shize Zhang (IWQoS, 2021)

CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints. - Chenyi Liu; Nan Geng; Vaneet Aggarwal; Tian Lan 001; Yuan Yang 001; Mingwei Xu (ECML/PKDD (1), 2021)

Neurotrie: Deep Reinforcement Learning-based Fast Software IPv6 Lookup. - Hao Chen; Yuan Yang 001; Mingwei Xu; Yuxuan Zhang; Chenyi Liu (ICDCS, 2022)

ARM3D: Attention-based relation module for indoor 3D object detection. - Yuqing Lan; Yao Duan; Chenyi Liu; Chenyang Zhu 002; Yueshan Xiong; Hui Huang 004; Kai Xu 004 (Comput. Vis. Media, 2022)

6DOF pose estimation of a 3D rigid object based on edge-enhanced point pair features. - Chenyi Liu; Fei Chen; Lu Deng; Renjiao Yi; Lintao Zheng; Chenyang Zhu 002; Jia Wang; Kai Xu 004 (Comput. Vis. Media, 2023)

A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints. - Nan Geng; Qinbo Bai; Chenyi Liu; Tian Lan 001; Vaneet Aggarwal; Yuan Yang 001; Mingwei Xu (IEEE Trans. Veh. Technol., 2023)

Scalable Deep Reinforcement Learning-Based Online Routing for Multi-Type Service Requirements. - Chenyi Liu; Pingfei Wu; Mingwei Xu; Yuan Yang 001; Nan Geng (IEEE Trans. Parallel Distributed Syst., 2023)

Machine Learning for Robust Network Design: A New Perspective. - Chenyi Liu; Vaneet Aggarwal; Tian Lan 001; Nan Geng; Yuan Yang 001; Mingwei Xu (IEEE Commun. Mag., 2023)

Unconditional Image Thresholding Approach of Optical and Sar Data for Large-Scale Flood Mapping. - Xuecheng Wen; Ji Zhao 006; Han Wang; Chenyi Liu; Changliang Shao; Yuting Dong (IGARSS, 2024)

Accurate Water Body Mapping Based on Unsupervised Deep Learning. - Pu Xiao; Chenyi Liu; Ji Zhao 006; Haixia Yang; Yuting Dong (IGARSS, 2024)

FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design. - Chenyi Liu; Vaneet Aggarwal; Tian Lan 001; Nan Geng; Yuan Yang 001; Mingwei Xu; Qing Li 006 (IEEE/ACM Trans. Netw., 2024)

Fast Software IPv6 Lookup With Neurotrie. - Yuxi Zhu; Hao Chen; Yuan Yang 001; Mingwei Xu; Yuxuan Zhang; Chenyi Liu; Jianping Wu (IEEE/ACM Trans. Netw., 2024)

Shooting Large-scale Traffic Engineering by Combining Deep Learning and Optimization Approach. - Chenyi Liu; Haotian Deng; Vaneet Aggarwal; Yuan Yang 001; Mingwei Xu (PACMNET, 2025)

Adaptive and Low-Cost Traffic Engineering: A Traffic Matrix Clustering Perspective. - Yi Liu; Nan Geng; Mingwei Xu; Yuan Yang 001; Enhuan Dong; Chenyi Liu; Qiaoyin Gan; Qing Li 006; Jianping Wu (IEEE J. Sel. Areas Commun., 2025)