Chen, Chao

129 publications

TMLR 2025 A Theoretical Study of Neural Network Expressive Power via Manifold Topology Jiachen Yao, Lingjie Yi, Mayank Goswami, Chao Chen

ICLR 2025 Backdooring Vision-Language Models with Out-of-Distribution Data Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen

NeurIPS 2025 Controlling Thinking Speed in Reasoning Models Zhengkai Lin, Zhihang Fu, Ze Chen, Chao Chen, Liang Xie, Wenxiao Wang, Deng Cai, Zheng Wang, Jieping Ye

JMLR 2025 Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan, Qi Zhao, Ze Ye, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen

NeurIPS 2025 Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments Jiahui Wang, Chao Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu

ICLR 2025 Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions Lingjie Yi, Jiachen Yao, Weimin Lyu, Haibin Ling, Raphael Douady, Chao Chen

CVPR 2025 Human-Centered Interactive Learning via MLLMs for Text-to-Image Person Re-Identification Yang Qin, Chao Chen, Zhihang Fu, Dezhong Peng, Xi Peng, Peng Hu

CVPR 2025 Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation Takeshi Noda, Chao Chen, Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu, Zhizhong Han

NeurIPS 2025 MATCH: Multi-Faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Meilong Xu, Xiaoling Hu, Shahira Abousamra, Chen Li, Chao Chen

CVPR 2025 MERGE: Multi-Faceted Hierarchical Graph-Based GNN for Gene Expression Prediction from Whole Slide Histopathology Images Aniruddha Ganguly, Debolina Chatterjee, Wentao Huang, Jie Zhang, Alisa Yurovsky, Travis Steele Johnson, Chao Chen

AAAI 2025 MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction Dongsheng Hong, Chao Chen, Xujia Li, Shuhui Wang, Wen Lin, Xiangwen Liao

CVPRW 2025 NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu, Radu Timofte, Nicu Sebe, Ming-Hsuan Yang, Luc Van Gool, Kaijin Zhang, Qingpeng Nong, Xiugang Dong, Hong Gao, Xiangsheng Zhou, Jiancheng Pan, Yanxing Liu, Xiao He, Jiahao Li, Yuze Sun, Xiaomeng Huang, Zhenyu Zhang, Ran Ma, Yuhan Liu, Zijian Zhuang, Shuai Yi, Yixiong Zou, Lingyi Hong, Mingxi Chen, Runze Li, Xingdong Sheng, Wenqiang Zhang, Weisen Chen, Yongxin Yan, Xinguo Chen, Yuanjie Shao, Zhengrong Zuo, Nong Sang, Hao Wu, Haoran Sun, Shuming Hu, Yan Zhang, Zhiguang Shi, Yu Zhang, Chao Chen, Tao Wang, Da Feng, Linhai Zhuo, Ziming Lin, Yali Huang, Jie Me, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu, Maomao Xiong, Qunshu Zhang, Xinyu Cao, Yuqing Yang, Dianmo Sheng, Xuanpu Zhao, Zhiyu Li, Xuyang Ding, Wenqian Li

ICCV 2025 OVA-Fields: Weakly Supervised Open-Vocabulary Affordance Fields for Robot Operational Part Detection Heng Su, Mengying Xie, Nieqing Cao, Yan Ding, Beichen Shao, Xianlei Long, Fuqiang Gu, Chao Chen

WACV 2025 PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots Lingjie Yi, Tao Sun, Yikai Zhang, Songzhu Zheng, Weimin Lyu, Haibin Ling, Chao Chen

ICML 2025 ROPO: Robust Preference Optimization for Large Language Models Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu, Hanzhu Chen, Feng Wu, Jieping Ye

ICLR 2025 ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL Yang Qin, Chao Chen, Zhihang Fu, Ze Chen, Dezhong Peng, Peng Hu, Jieping Ye

NeurIPS 2025 RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction Across Domains Tianle Pu, Zijie Geng, Haoyang Liu, Shixuan Liu, Jie Wang, Li Zeng, Chao Chen, Changjun Fan

CVPR 2025 SKE-Layout: Spatial Knowledge Enhanced Layout Generation with LLMs Junsheng Wang, Nieqing Cao, Yan Ding, Mengying Xie, Fuqiang Gu, Chao Chen

AAAI 2025 Sharpening Neural Implicit Functions with Frequency Consolidation Priors Chao Chen, Yu-Shen Liu, Zhizhong Han

CVPR 2025 TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model Meilong Xu, Saumya Gupta, Xiaoling Hu, Chen Li, Shahira Abousamra, Dimitris Samaras, Prateek Prasanna, Chao Chen

ICLR 2025 TopoDiffusionNet: A Topology-Aware Diffusion Model Saumya Gupta, Dimitris Samaras, Chao Chen

AAAI 2025 UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks Jie Zhao, Chao Chen, Yuanshao Zhu, Mingyu Deng, Yuxuan Liang

ICLR 2025 Wasserstein-Regularized Conformal Prediction Under General Distribution Shift Rui Xu, Chao Chen, Yue Sun, Parvathinathan Venkitasubramaniam, Sihong Xie

IJCAI 2024 Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen

NeurIPS 2024 Enhancing LLM’s Cognition via Structurization Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye

AAAI 2024 Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning Chao Chen, Jiacheng Xu, Weijian Liao, Hao Ding, Zongzhang Zhang, Yang Yu, Rui Zhao

ICLR 2024 INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye

NeurIPS 2024 Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds Through Finetuning Data-Driven Based Priors Chao Chen, Yu-Shen Liu, Zhizhong Han

ECCV 2024 Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes Chao Chen, Yu-Shen Liu, Zhizhong Han

TMLR 2024 Learning to Abstain from Uninformative Data Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen

NeurIPS 2024 Linear Uncertainty Quantification of Graphical Model Inference Chenghua Guo, Han Yu, Jiaxin Liu, Chao Chen, Qi Li, Sihong Xie, Xi Zhang

NeurIPS 2024 MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step Takeshi Noda, Chao Chen, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu, Zhizhong Han

ICLR 2024 OWL: A Large Language Model for IT Operations Hongcheng Guo, Jian Yang, Jiaheng Liu, Liqun Yang, Linzheng Chai, Jiaqi Bai, Junran Peng, Xiaorong Hu, Chao Chen, Dongfeng Zhang, Xu Shi, Tieqiao Zheng, Liangfan Zheng, Bo Zhang, Ke Xu, Zhoujun Li

NeurIPS 2024 Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye

CVPR 2024 SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna

ECCV 2024 Semi-Supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen

AAAI 2024 Sketch and Refine: Towards Fast and Accurate Lane Detection Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu

NeurIPS 2024 Training for Stable Explanation for Free Chao Chen, Chenghua Guo, Rufeng Chen, Guixiang Ma, Ming Zeng, Xiangwen Liao, Xi Zhang, Sihong Xie

ECCV 2024 TrojVLM: Backdoor Attack Against Vision Language Models Weimin Lyu, Lu Pang, Tengfei Ma, Haibin Ling, Chao Chen

CVPRW 2024 Uncertainty Estimation for Tumor Prediction with Unlabeled Data Juyoung Yun, Shahira Abousamra, Chen Li, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Alison L. Van Dyke, Joel H. Saltz, Chao Chen

ACML 2023 A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis Dongming Wu, Lulu Wen, Chao Chen, Zhaoshu Shi

ICLRW 2023 Backdoor Attacks Against Transformers with Attention Enhancement Weimin Lyu, Songzhu Zheng, Haibin Ling, Chao Chen

CVPR 2023 Backdoor Cleansing with Unlabeled Data Lu Pang, Tao Sun, Haibin Ling, Chao Chen

ICCV 2023 Calibrating Uncertainty for Semi-Supervised Crowd Counting Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen

NeurIPS 2023 Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye

ICLR 2023 Confidence Estimation Using Unlabeled Data Chen Li, Xiaoling Hu, Chao Chen

LoG 2023 Cycle Invariant Positional Encoding for Graph Representation Learning Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang

AAAI 2023 Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract) Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu

CVPR 2023 DeepMapping2: Self-Supervised Large-Scale LiDAR mAP Optimization Chao Chen, Xinhao Liu, Yiming Li, Li Ding, Chen Feng

IJCAI 2023 Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li

AAAI 2023 End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun

ICCV 2023 Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna

AAAI 2023 FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen

AAAI 2023 From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution Jie Liu, Chao Chen, Jie Tang, Gangshan Wu

ICLR 2023 Graph Signal Sampling for Inductive One-Bit Matrix Completion: A Closed-Form Solution Chao Chen, Haoyu Geng, Gang Zeng, Zhaobing Han, Hua Chai, Xiaokang Yang, Junchi Yan

ICCV 2023 GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds Chao Chen, Yu-Shen Liu, Zhizhong Han

ICLR 2023 Learning Probabilistic Topological Representations Using Discrete Morse Theory Xiaoling Hu, Dimitris Samaras, Chao Chen

ICLR 2023 Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen

ICLRW 2023 On the Existence of a Trojaned Twin Model Songzhu Zheng, Yikai Zhang, Lu Pang, Weimin Lyu, Mayank Goswami, Anderson Schneider, Yuriy Nevmyvaka, Haibin Ling, Chao Chen

NeurIPS 2023 Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye

ICLRW 2023 Removing Backdoor Behaviors with Unlabeled Data Lu Pang, Tao Sun, Haibin Ling, Chao Chen

ICMLW 2023 Robust Ranking Explanations Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie

NeurIPSW 2023 Structure-Wise Uncertainty for Curvilinear Image Segmentation Saumya Gupta, Xiaoling Hu, Chao Chen

NeurIPS 2023 Topology-Aware Uncertainty for Image Segmentation Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen

CVPR 2023 Topology-Guided Multi-Class Cell Context Generation for Digital Pathology Shahira Abousamra, Rajarsi Gupta, Tahsin Kurc, Dimitris Samaras, Joel Saltz, Chao Chen

ICCV 2023 UniFusion: Unified Multi-View Fusion Transformer for Spatial-Temporal Representation in Bird's-Eye-View Zequn Qin, Jingyu Chen, Chao Chen, Xiaozhi Chen, Xi Li

CVPR 2023 Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds Without Learning Priors Chao Chen, Yu-Shen Liu, Zhizhong Han

AISTATS 2022 A Manifold View of Adversarial Risk Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas

ICML 2022 Cycle Representation Learning for Inductive Relation Prediction Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

ICLRW 2022 Cycle Representation Learning for Inductive Relation Prediction Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

CVPR 2022 DIFNet: Boosting Visual Information Flow for Image Captioning Mingrui Wu, Xuying Zhang, Xiaoshuai Sun, Yiyi Zhou, Chao Chen, Jiaxin Gu, Xing Sun, Rongrong Ji

ECCV 2022 ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement Dongli Tan, Jiang-Jiang Liu, Xingyu Chen, Chao Chen, Ruixin Zhang, Yunhang Shen, Shouhong Ding, Rongrong Ji

ECCV 2022 Latent Partition Implicit with Surface Codes for 3D Representation Chao Chen, Yu-Shen Liu, Zhizhong Han

ECCV 2022 Learning Topological Interactions for Multi-Class Medical Image Segmentation Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary Saltz, Tahsin Kurc, Joel Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen

CVPRW 2022 NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

ICLRW 2022 Neural Approximation of Extended Persistent Homology on Graphs Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen

NeurIPS 2022 Neural Approximation of Graph Topological Features Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen

ECCV 2022 PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation Jing He, Yiyi Zhou, Qi Zhang, Jun Peng, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji

AAAI 2022 Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du

ECCV 2022 SeqTR: A Simple yet Universal Network for Visual Grounding Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji

UAI 2022 Stability of SGD: Tightness Analysis and Improved Bounds Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami

CVPR 2022 Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna

ICLR 2022 Trigger Hunting with a Topological Prior for Trojan Detection Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen

ICML 2021 Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang

ICLR 2021 Learning with Feature-Dependent Label Noise: A Progressive Approach Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen

ICML 2021 Link Prediction with Persistent Homology: An Interactive View Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

AAAI 2021 Localization in the Crowd with Topological Constraints Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen

ICCV 2021 Multi-Class Cell Detection Using Spatial Context Representation Shahira Abousamra, David Belinsky, John Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin Kurc, Dimitris Samaras, Joel Saltz, Chao Chen

AAAI 2021 Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang

CVPRW 2021 SrvfRegNet: Elastic Function Registration Using Deep Neural Networks Chao Chen, Anuj Srivastava

IJCAI 2021 Structure Guided Lane Detection Jinming Su, Chao Chen, Ke Zhang, Junfeng Luo, Xiaoming Wei, Xiaolin Wei

NeurIPS 2021 Topological Detection of Trojaned Neural Networks Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen

ICLR 2021 Topology-Aware Segmentation Using Discrete Morse Theory Xiaoling Hu, Yusu Wang, Li Fuxin, Dimitris Samaras, Chao Chen

ICCV 2021 Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projections Matching Chao Chen, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker

NeurIPS 2020 A Topological Filter for Learning with Label Noise Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris Metaxas, Chao Chen

ECCVW 2020 Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer David Paredes, Prateek Prasanna, Christina Preece, Rajarsi Gupta, Farzad Fereidouni, Dimitris Samaras, Tahsin M. Kurç, Richard M. Levenson, Patricia Thompson-Carino, Joel H. Saltz, Chao Chen

ICLR 2020 Curvature Graph Network Ze Ye, Kin Sum Liu, Tengfei Ma, Jie Gao, Chao Chen

ICML 2020 DRWR: A Differentiable Renderer Without Rendering for Unsupervised 3D Structure Learning from Silhouette Images Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker

NeurIPS 2020 Deep Variational Instance Segmentation Jialin Yuan, Chao Chen, Fuxin Li

PGM 2020 Efficient Heuristic Search for M-Modes Inference Cong Chen, Changhe Yuan, Chao Chen

ICML 2020 Error-Bounded Correction of Noisy Labels Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris Metaxas, Chao Chen

AAAI 2020 HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua

ECCV 2020 Learn Distributed GAN with Temporary Discriminators Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris Metaxas

AAAI 2020 Local Regularizer Improves Generalization Yikai Zhang, Hui Qu, Dimitris N. Metaxas, Chao Chen

AISTATS 2020 Persistence Enhanced Graph Neural Network Qi Zhao, Ze Ye, Chao Chen, Yusu Wang

AAAI 2020 SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xian-Sheng Hua

PGM 2020 Solving Multiple Inference by Minimizing Expected Loss Cong Chen, Jiaqi Yang, Chao Chen, Changhe Yuan

ECCV 2020 TopoGAN: A Topology-Aware Generative Adversarial Network Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen

AISTATS 2019 A Topological Regularizer for Classifiers via Persistent Homology Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang

IJCAI 2019 Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen

AAAI 2019 Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin

AAAI 2019 Point Cloud Processing via Recurrent Set Encoding Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas

IJCAI 2019 Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes Yikai Zhang, Hui Qu, Chao Chen, Dimitris N. Metaxas

NeurIPS 2019 Topology-Preserving Deep Image Segmentation Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen

PGM 2018 Solving M-Modes in Loopy Graphs Using Tree Decompositions Cong Chen, Changhe Yuan, Ze Ye, Chao Chen

ICML 2017 Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data Xiuyan Ni, Novi Quadrianto, Yusu Wang, Chao Chen

AAAI 2017 ERMMA: Expected Risk Minimization for Matrix Approximation-Based Recommender Systems Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha

AAAI 2017 ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy Shaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang

AAAI 2017 GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu

NeurIPS 2017 Mixture-Rank Matrix Approximation for Collaborative Filtering Dongsheng Li, Chao Chen, Wei Liu, Tun Lu, Ning Gu, Stephen Chu

ICML 2016 Clustering High Dimensional Categorical Data via Topographical Features Chao Chen, Novi Quadrianto

ICML 2016 Low-Rank Matrix Approximation with Stability Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen Chu

IJCAI 2016 MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang

IJCAI 2016 Solving M-Modes Using Heuristic Search Cong Chen, Changhe Yuan, Chao Chen

NeurIPS 2014 Mode Estimation for High Dimensional Discrete Tree Graphical Models Chao Chen, Han Liu, Dimitris Metaxas, Tianqi Zhao

AISTATS 2013 Computing the M Most Probable Modes of a Graphical Model Chao Chen, Vladimir Kolmogorov, Yan Zhu, Dimitris N. Metaxas, Christoph H. Lampert

ICML 2012 The Most Persistent Soft-Clique in a Set of Sampled Graphs Novi Quadrianto, Chao Chen, Christoph H. Lampert

ICCV 2011 Diffusion Runs Low on Persistence Fast Chao Chen, Herbert Edelsbrunner

CVPR 2011 Enforcing Topological Constraints in Random Field Image Segmentation Chao Chen, Daniel Freedman, Christoph H. Lampert