Chen, Ke

54 publications

TMLR 2026 Large Language Model-Based Data Science Agent: A Survey Ke Chen, Peiran Wang, Yaoning Yu, Xianyang Zhan, Haohan Wang

CVPR 2025 Adapting Pre-Trained 3D Models for Point Cloud Video Understanding via Cross-Frame Spatio-Temporal Perception Baixuan Lv, Yaohua Zha, Tao Dai, Xue Yuerong, Ke Chen, Shu-Tao Xia

ICCV 2025 AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery Xinzi Cao, Ke Chen, Feidiao Yang, Xiawu Zheng, Yonghong Tian, Yutong Lu

NeurIPS 2025 Angular Constraint Embedding via SpherePair Loss for Constrained Clustering Shaojie Zhang, Ke Chen

AAAI 2025 CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation Hongwei Yuan, Xiu Tang, Ke Chen, Lidan Shou, Gang Chen, Huan Li

ICML 2025 FLAM: Frame-Wise Language-Audio Modeling Yusong Wu, Christos Tsirigotis, Ke Chen, Cheng-Zhi Anna Huang, Aaron Courville, Oriol Nieto, Prem Seetharaman, Justin Salamon

ICML 2025 FloE: On-the-Fly MoE Inference on Memory-Constrained GPU Yuxin Zhou, Zheng Li, Jun Zhang, Jue Wang, Yiping Wang, Zhongle Xie, Ke Chen, Lidan Shou

NeurIPS 2025 GSPN-2: Efficient Parallel Sequence Modeling Hongjun Wang, Yitong Jiang, Collin McCarthy, David Wehr, Hanrong Ye, Xinhao Li, Ka Chun Cheung, Wonmin Byeon, Jinwei Gu, Ke Chen, Kai Han, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Sifei Liu

AAAI 2025 In-Dataset Trajectory Return Regularization for Offline Preference-Based Reinforcement Learning Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao

CVPR 2025 PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia

IJCAI 2025 Point Cloud Mixture-of-Domain-Experts Model for 3D Self-Supervised Learning Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia

ICLR 2025 Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Yang You, Guiming Xie, Xuejian Gong, Kunlong Zhou

ICLR 2025 Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation Jingbo Sun, Songjun Tu, Qichao Zhang, Haoran Li, Xin Liu, Yaran Chen, Ke Chen, Dongbin Zhao

AAAI 2024 CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition Cheng Peng, Ke Chen, Lidan Shou, Gang Chen

CPAL 2024 Closed-Loop Transcription via Convolutional Sparse Coding Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel Ni, Yi Ma

CVPRW 2024 Deep RAW Image Super-Resolution. a NTIRE 2024 Challenge Survey Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte, Jianxing Zhang, Jia Li, Fan Wang, Xiaopeng Li, Zikun Liu, Hyunhee Park, Sejun Song, Changho Kim, Zhijuan Huang, Hongyuan Yu, Cheng Wan, Wending Xiang, Jiamin Lin, Hang Zhong, Qiaosong Zhang, Yue Sun, Xuanwu Yin, Kunlong Zuo, Senyan Xu, Siyuan Jiang, Zhijing Sun, Jiaying Zhu, Liangyan Li, Ke Chen, Yunzhe Li, Yimo Ning, Guanhua Zhao, Jun Chen, Jinyang Yu, Kele Xu, Qisheng Xu, Yong Dou

MLJ 2024 Goal Exploration Augmentation via Pre-Trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning Lisheng Wu, Ke Chen

IJCAI 2024 Retrieval Guided Music Captioning via Multimodal Prefixes Nikita Srivatsan, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick

AAAI 2024 Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection Cheng Peng, Ke Chen, Lidan Shou, Gang Chen

TMLR 2023 Deep Operator Learning Lessens the Curse of Dimensionality for PDEs Ke Chen, Chunmei Wang, Haizhao Yang

IJCAI 2023 Deep Partial Multi-Label Learning with Graph Disambiguation Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen

AAAI 2023 Effective Continual Learning for Text Classification with Lightweight Snapshots Jue Wang, Dajie Dong, Lidan Shou, Ke Chen, Gang Chen

IJCAI 2023 FedBFPT: An Efficient Federated Learning Framework for BERT Further Pre-Training Xin'ao Wang, Huan Li, Ke Chen, Lidan Shou

IJCAI 2023 Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6d Object Pose Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia

CVPRW 2023 NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang

AAAI 2023 Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu

CVPRW 2023 SwinFSR: Stereo Image Super-Resolution Using SwinIR and Frequency Domain Knowledge Ke Chen, Liangyan Li, Huan Liu, Yunzhe Li, Congling Tang, Jun Chen

CVPR 2023 Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model Hongrun Zhang, Liam Burrows, Yanda Meng, Declan Sculthorpe, Abhik Mukherjee, Sarah E. Coupland, Ke Chen, Yalin Zheng

IJCAI 2022 BiCo-Net: Regress Globally, Match Locally for Robust 6d Pose Estimation Zelin Xu, Yichen Zhang, Ke Chen, Kui Jia

IJCAI 2022 Continual Federated Learning Based on Knowledge Distillation Yuhang Ma, Zhongle Xie, Jue Wang, Ke Chen, Lidan Shou

CVPR 2022 Fine-Grained Object Classification via Self-Supervised Pose Alignment Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian

ECCV 2022 Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia

AAAI 2022 Zero-Shot Audio Source Separation Through Query-Based Learning from Weakly-Labeled Data Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov

CVPR 2021 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia

AAAI 2021 Effective Slot Filling via Weakly-Supervised Dual-Model Learning Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Gang Chen

ICCV 2021 Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds Longkun Zou, Hui Tang, Ke Chen, Kui Jia

ICCV 2021 Real-Time Vanishing Point Detector Integrating Under-Parameterized RANSAC and Hough Transform Jianping Wu, Liang Zhang, Ye Liu, Ke Chen

NeurIPS 2021 Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia

AAAI 2020 Cascading Convolutional Color Constancy Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia

NeurIPS 2020 Feature Importance Ranking for Deep Learning Maksymilian Wojtas, Ke Chen

AAAI 2020 Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen

IJCAI 2020 Learning from Multi-Dimensional Partial Labels Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen

IJCAI 2019 Deep Cascade Generation on Point Sets Kaiqi Wang, Ke Chen, Kui Jia

CoRL 2018 Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation Fan Wang, Bo Zhou, Ke Chen, Tingxiang Fan, Xi Zhang, Jiangyong Li, Hao Tian, Jia Pan

ECML-PKDD 2017 Alternative Semantic Representations for Zero-Shot Human Action Recognition Qian Wang, Ke Chen

IJCAI 2017 Cross-Granularity Graph Inference for Semantic Video Object Segmentation Huiling Wang, Tinghuai Wang, Ke Chen, Joni-Kristian Kämäräinen

ICCV 2017 Recurrent Color Constancy Yanlin Qian, Ke Chen, Jarno Nikkanen, Joni-Kristian Kamarainen, Jiri Matas

ECML-PKDD 2016 Exploring a Mixed Representation for Encoding Temporal Coherence Jon Parkinson, Ubai Sandouk, Ke Chen

CVPR 2015 Unsupervised Visual Alignment with Similarity Graphs Fatemeh Shokrollahi Yancheshmeh, Ke Chen, Joni-Kristian Kamarainen

CVPR 2013 Cumulative Attribute Space for Age and Crowd Density Estimation Ke Chen, Shaogang Gong, Tao Xiang, Chen Change Loy

CVPRW 2012 Fast Quality-Guided Phase Unwrapping Algorithm for 3D Profilometry Based on Object Image Edge Detection Ke Chen, Jiangtao Xi, Yanguang Yu

NeurIPS 2011 Extracting Speaker-Specific Information with a Regularized Siamese Deep Network Ke Chen, Ahmad Salman

NeurIPS 2007 Regularized Boost for Semi-Supervised Learning Ke Chen, Shihai Wang

NeurIPS 1998 Perceiving Without Learning: From Spirals to Inside/Outside Relations Ke Chen, DeLiang L. Wang