Chen, Fang

31 publications

ICCV 2025 COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets Lingyu Chen, Yawen Zeng, Yue Wang, Peng Wan, Guochen Ning, Hongen Liao, Daoqiang Zhang, Fang Chen

CVPR 2025 Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection Jia Guo, Shuai Lu, Weihang Zhang, Fang Chen, Huiqi Li, Hongen Liao

AAAI 2025 LLM-RG4: Flexible and Factual Radiology Report Generation Across Diverse Input Contexts Zhuhao Wang, Yihua Sun, Zihan Li, Xuan Yang, Fang Chen, Hongen Liao

ICLR 2025 Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Nan Yang, Jiahao Huang, Jianlong Zhou, Fang Chen

AAAI 2025 Navigating Towards Fairness with Data Selection Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan, Feng Zhou

TMLR 2025 ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs Fang Chen, Gourav Datta, Mujahid Al Rafi, Hyeran Jeon, Meng Tang

NeurIPS 2025 Revealing Multimodal Causality with Large Language Models Jin Li, Shoujin Wang, Qi Zhang, Feng Liu, Tongliang Liu, Longbing Cao, Shui Yu, Fang Chen

ICML 2025 Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution Jiayu Zhang, Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jianlong Zhou, Fang Chen, Huaming Chen

ECML-PKDD 2023 ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation Boyu Li, Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen

MLJ 2023 Dynamic Customer Segmentation via Hierarchical Fragmentation-Coagulation Processes Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen

AISTATS 2023 Fair Representation Learning with Unreliable Labels Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen

WACV 2023 Self-Attentive Pooling for Efficient Deep Learning Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel

NeurIPS 2022 Domain Generalization by Learning and Removing Domain-Specific Features Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang, Fang Chen

ACML 2021 Bias-Tolerant Fair Classification Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen

JMLR 2020 Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen

AAAI 2020 Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data Weida Li, Mingxia Liu, Fang Chen, Daoqiang Zhang

MLJ 2019 Collaborative Topic Regression for Predicting Topic-Based Social Influence Asso Hamzehei, Raymond K. Wong, Danai Koutra, Fang Chen

IJCAI 2019 Discriminative Sample Generation for Deep Imbalanced Learning Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen

WACV 2018 Fine-Grained and Semantic-Guided Visual Attention for Image Captioning Zongjian Zhang, Qiang Wu, Yang Wang, Fang Chen

IJCAI 2017 Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen

ACML 2016 An Efficient Approach for Multi-Sentence Compression Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen

IJCAI 2016 Bayesian Optimization of Partition Layouts for Mondrian Processes Yi Wang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen

NeurIPS 2016 Infinite Hidden Semi-Markov Modulated Interaction Point Process Matt Zhang, Peng Lin, Peng Lin, Ting Guo, Yang Wang, Yang Wang, Fang Chen

AAAI 2016 Interaction Point Processes via Infinite Branching Model Peng Lin, Bang Zhang, Ting Guo, Yang Wang, Fang Chen

AAAI 2016 The Ostomachion Process Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen

ICML 2015 Metadata Dependent Mondrian Processes Yi Wang, Bin Li, Yang Wang, Fang Chen

CVPR 2014 Stable Learning in Coding Space for Multi-Class Decoding and Its Extension for Multi-Class Hypothesis Transfer Learning Bang Zhang, Yi Wang, Yang Wang, Fang Chen

MLJ 2014 Water Pipe Condition Assessment: A Hierarchical Beta Process Approach for Sparse Incident Data Zhidong Li, Bang Zhang, Yang Wang, Fang Chen, Ronnie Taib, Vicky Whiffin, Yi Wang

ECML-PKDD 2013 A Bayesian Classifier for Learning from Tensorial Data Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao

WACV 2013 A Bayesian Non-Parametric Viewpoint to Visual Tracking Yi Wang, Zhidong Li, Yang Wang, Fang Chen

WACV 2013 A Weakly Supervised Approach for Object Detection Based on Soft-Label Boosting Weihong Wang, Yang Wang, Fang Chen, Arcot Sowmya