Second Order-Based Real-Time Anomaly Detection for Application Maintenance Services. - Qicheng Li; Lijun Mei; Shaochun Li; Liu Rong; Weiye Chen; Fenfei Wang (ICSS, 2015)

A Congestion Detection Framework based on Vehicle-Counter CNN and Self-Learning Critical Density Approach. - Yuheng Kan; Weiye Chen; Zian Ma; Shai Bai; Yue Gong; Wei Wu 021 (ITSC, 2021)

Decentralized Multiagent Actor-Critic Algorithm Based on Message Diffusion. - Siyuan Ding; Shengxiang Li; Guangyi Liu 006; Ou Li; Ke Ke; Yijie Bai; Weiye Chen (J. Sensors, 2021)

DAPnet: A Double Self-Attention Convolutional Network for Point Cloud Semantic Labeling. - Li Chen 025; Weiye Chen; Zewei Xu; Haozhe Huang; Shaowen Wang 001; Qing Zhu; Haifeng Li 007 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. - Yiqun Xie; Erhu He; Xiaowei Jia; Weiye Chen; Sergii Skakun; Han Bao 003; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (AAAI, 2022)

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. - Eduardo Pérez-Pellitero; Sibi Catley-Chandar; Richard Shaw; Ales Leonardis; Radu Timofte; Zexin Zhang; Cen Liu; Yunbo Peng; Yue Lin 002; Gaocheng Yu; Jin Zhang; Zhe Ma; et al. (CVPR Workshops, 2022)

A Lightweight Network for High Dynamic Range Imaging. - Qingsen Yan; Song Zhang; Weiye Chen; Yuhang Liu 002; Zhen Zhang 008; Yanning Zhang 001; Javen Qinfeng Shi; Dong Gong (CVPR Workshops, 2022)

Deep semantic segmentation for building detection using knowledge-informed features from LiDAR point clouds. - Weiye Chen; Zhihao Wang; Zhili Li; Yiqun Xie; Xiaowei Jia; Anlin Li (SIGSPATIAL/GIS, 2022)

Sailing in the location-based fairness-bias sphere. - Erhu He; Weiye Chen; Yiqun Xie; Han Bao 003; Xun Zhou 001; Xiaowei Jia; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (SIGSPATIAL/GIS, 2022)

A data-driven adversarial examples recognition framework via adversarial feature genomes. - Li Chen 025; Qi Li 031; Weiye Chen; Zeyu Wang; Haifeng Li 007 (Int. J. Intell. Syst., 2022)

Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction. - Erhu He; Yiqun Xie; Licheng Liu; Weiye Chen; Zhenong Jin; Xiaowei Jia (AAAI, 2023)

A Unified HDR Imaging Method with Pixel and Patch Level. - Qingsen Yan; Weiye Chen; Song Zhang; Yu Zhu 004; Jinqiu Sun; Yanning Zhang 001 (CVPR, 2023)

SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders. - Qingsen Yan; Song Zhang; Weiye Chen; Hao Tang 005; Yu Zhu 004; Jinqiu Sun; Luc Van Gool; Yanning Zhang 001 (CVPR, 2023)

Harnessing heterogeneity in space with statistically guided meta-learning. - Yiqun Xie; Weiye Chen; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (Knowl. Inf. Syst., 2023)

Referee-Meta-Learning for Fast Adaptation of Locational Fairness. - Weiye Chen; Yiqun Xie; Xiaowei Jia; Erhu He; Han Bao 003; Bang An 002; Xun Zhou 001 (AAAI, 2024)

When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery. - Yiqun Xie; Zhihao Wang; Weiye Chen; Zhili Li; Xiaowei Jia; Yanhua Li; Ruichen Wang; Kangyang Chai; Ruohan Li; Sergii Skakun (CoRR, 2024)

Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. - Erhu He; Yiqun Xie; Weiye Chen; Sergii Skakun; Han Bao 003; Rahul Ghosh; Praveen Ravirathinam; Xiaowei Jia (IEEE Trans. Knowl. Data Eng., 2024)

Muon-Accelerated Attention Distillation for Real-Time Edge Synthesis via Optimized Latent Diffusion. - Weiye Chen; Qingen Zhu; Qian Long (CoRR, 2025)