A Deep Learning Framework of Quantized Compressed Sensing for Wireless Neural Recording. - Biao Sun; Hui Feng; Kefan Chen; Xinshan Zhu (IEEE Access, 2016)

An Intelligent Sewer Defect Detection Method Based on Convolutional Neural Network. - Kefan Chen; Hong Hu; Chaozhan Chen; Long Chen; Caiying He (ICIA, 2018)

A Scheme for Improving the Communications Efficiency Between the Control Plane and Data Plane of the SDN-Enabled Airborne Tactical Network. - Kefan Chen; Na Lv; Shanghong Zhao 001; Xiang Wang; Jing Zhao (IEEE Access, 2018)

Micro Congestion Control: Every Flow Deserves a Second Chance. - Kefan Chen; Fengyuan Ren (CoRR, 2018)

Segment Routing Based Traffic Scheduling for the Software-Defined Airborne Backbone Network. - Kefan Chen; Shanghong Zhao 001; Na Lv; Weiting Gao; Xiang Wang; Xinqing Zou (IEEE Access, 2019)

Routing Algorithm of Congestion Control for Aeronautic Swarm Network. - Fang-bo Cao; Na Lv; Kefan Chen; Li Qu; Chuang Liu (J. Commun., 2019)

One Rein to Rule Them All: A Framework for Datacenter-to-User Congestion Control. - Kefan Chen; Danfeng Shan; Xiaohui Luo; Tong Zhang 018; Yajun Yang; Fengyuan Ren (APNet, 2020)

An Analysis of SVD for Deep Rotation Estimation. - Jake Levinson; Carlos Esteves; Kefan Chen; Noah Snavely; Angjoo Kanazawa; Afshin Rostamizadeh; Ameesh Makadia (NeurIPS, 2020)

Regression Based Dynamic Elephant Flow Detection in Airborne Network. - Pengfei Liu; Na Lv; Kefan Chen; Liang Tang; Jiaxin Zhou (IEEE Access, 2020)

ImmuNetNAS: An Immune-network approach for searching Convolutional Neural Network Architectures. - Kefan Chen; Wei Pang 001 (CoRR, 2020)

Wide-Baseline Relative Camera Pose Estimation With Directional Learning. - Kefan Chen; Noah Snavely; Ameesh Makadia (CVPR, 2021)

A Reliable Interference-Aware Mapping Algorithm for Airborne Tactical Network Virtualization. - Jingcheng Miao; Na Lv; Kefan Chen; Weiting Gao; Yanhui Zhang (IEEE Access, 2021)

Fault-Tolerant Embedding Algorithm for Node Failure in Airborne Tactical Network Virtualization. - Jingcheng Miao; Na Lv; Qi Gao; Kefan Chen; Xiang Wang (IEEE Access, 2022)

FAIFO: UAV-assisted IoT programmable packet scheduling considering freshness. - Meng-yuan Zhu; Kefan Chen; Zhuo Chen; Na Lv (Ad Hoc Networks, 2022)

Attention-based federated incremental learning for traffic classification in the Internet of Things. - Meng-yuan Zhu; Zhuo Chen; Kefan Chen; Na Lv; Yun Zhong (Comput. Commun., 2022)

FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy. - Zuhao Yang; Yingfang Yuan; Yang Xu; Shuo Zhan; Huajun Bai; Kefan Chen (NeurIPS, 2023)

DeeProphet: Improving HTTP Adaptive Streaming for Low Latency Live Video by Meticulous Bandwidth Prediction. - Kefan Chen; Bo Wang 066; Wufan Wang; Xiaoyu Li; Fengyuan Ren (WWW, 2023)

Communicating Complex Decisions in Robot-Assisted Therapy. - Carl Bettosi; Kefan Chen; Ryan Shah; Lynne Baillie (CoRR, 2023)

DiVA-360: The Dynamic Visuo-Audio Dataset for Immersive Neural Fields. - Cheng-You Lu; Peisen Zhou; Angela Xing; Chandradeep Pokhariya; Arnab Dey; Ishaan N. Shah; Rugved Mavidipalli; Dylan Hu; Andrew I. Comport; Kefan Chen; Srinath Sridhar 002 (CoRR, 2023)

MANUS: Markerless Hand-Object Grasp Capture using Articulated 3D Gaussians. - Chandradeep Pokhariya; Ishaan N. Shah; Angela Xing; Zekun Li; Kefan Chen; Avinash Sharma 001; Srinath Sridhar 002 (CoRR, 2023)

Immediate Effects of Vagal Nerve Stimulation in Drug-Resistant Epilepsy Revealed by Magnetoencephalographic Recordings. - Yuejun Li; Haitao Zhu; Qiqi Chen; Lu Yang; Fangqing Chen; Haiyan Ma; Honghao Xu; Kefan Chen; Jinxin Bu; Rui Zhang (Brain Connect., 2023)

DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields. - Cheng-You Lu; Peisen Zhou; Angela Xing; Chandradeep Pokhariya; Arnab Dey; Ishaan Nikhil Shah; Rugved Mavidipalli; Dylan Hu; Andrew I. Comport; Kefan Chen; Srinath Sridhar 002 (CVPR, 2024)

MANUS: Markerless Grasp Capture Using Articulated 3D Gaussians. - Chandradeep Pokhariya; Ishaan Nikhil Shah; Angela Xing; Zekun Li; Kefan Chen; Avinash Sharma 001; Srinath Sridhar 002 (CVPR, 2024)

Evolving Molecular Graph Neural Networks with Hierarchical Evaluation Strategy. - Yingfang Yuan; Wenjun Wang 003; Xin Li 033; Kefan Chen; Yonghan Zhang; Wei Pang 001 (GECCO, 2024)

Tracking Model gdi-SAM2 for RGB, Depth, and Infrared Data. - Xinglin Xie; Kehuan Song; Kefan Chen (ICPR (Workshops and Challenges, 4), 2024)

Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness. - Yingfang Yuan; Kefan Chen; Mehdi Rizvi; Lynne Baillie; Wei Pang 001 (CoRR, 2024)

High-Low-Frequency Progressive-Guided Diffusion Model for PAN and MS Classification. - Hao Zhu 009; Fengtao Yan; Pute Guo; Xiaotong Li; Biao Hou; Kefan Chen; Shuang Wang 001; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2024)

Enhancing Low Latency Adaptive Live Streaming Through Precise Bandwidth Prediction. - Bo Wang 066; Muhan Su; Wufan Wang; Kefan Chen; Bingyang Liu; Fengyuan Ren; Mingwei Xu; Jiangchuan Liu; Jianping Wu (IEEE/ACM Trans. Netw., 2024)

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation. - Kefan Chen; Chaerin Min; Linguang Zhang; Shreyas Hampali; Cem Keskin; Srinath Sridhar 002 (CVPR, 2025)

UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping. - Aashish Rai; Dilin Wang; Mihir Jain; Nikolaos Sarafianos; Kefan Chen; Srinath Sridhar 002; Aayush Prakash (CVPR, 2025)

FAFormer: Frequency-Analysis-Based Transformer Focusing on Correlation and Specificity for Pansharpening. - Yifan Meng; Hao Zhu 009; Xiaoyu Yi 002; Biao Hou; Shuang Wang 001; Yuan Wang; Kefan Chen; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2025)

Sample-Level Improved Cross-Source Contrastive Learning for PAN and MS Joint Classification. - Pengyu Tian; Hao Zhu 009; Biao Hou; Lu Chen; Pute Guo; Kefan Chen; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2025)

InteractAvatar: Modeling Hand-Face Interaction in Photorealistic Avatars with Deformable Gaussians. - Kefan Chen; Sergiu Oprea; Justin Theiss; Sreyas Mohan; Srinath Sridhar 002; Aayush Prakash (CoRR, 2025)

A Unifying Bias-aware Multidisciplinary Framework for Investigating Socio-Technical Issues. - Sacha Hasan; Mehdi Rizvi; Yingfang Yuan; Kefan Chen; Lynne Baillie; Wei Pang 001 (CoRR, 2025)