Chen, Shuo

61 publications

ICCV 2025 BlinkTrack: Feature Tracking over 80 FPS via Events and Images Yichen Shen, Yijin Li, Shuo Chen, Guanglin Li, Zhaoyang Huang, Hujun Bao, Zhaopeng Cui, Guofeng Zhang

WACV 2025 Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? Shuo Chen, Zhen Han, Bailan He, Jianzhe Liu, Mark Buckley, Yao Qin, Philip Torr, Volker Tresp, Jindong Gu

ICLR 2025 Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan Yuille

TMLR 2025 CyberThreat-Eval: Can Large Language Models Automate Real-World Threat Research? Xiangsen Chen, Xuan Feng, Shuo Chen, Matthieu Maitre, Sudipto Rakshit, Diana Duvieilh, Ashley Picone, Nan Tang

MLJ 2025 DP-FedSecure: A Secure and Efficient Federated Learning Scheme Based on Adaptive Differential Privacy Shuo Chen, Tanping Zhou, Huiyu Xie, Weidong Du, Xiaoyuan Yang

ICCV 2025 DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation Jiazhe Guo, Yikang Ding, Xiwu Chen, Shuo Chen, Bohan Li, Yingshuang Zou, Xiaoyang Lyu, Feiyang Tan, Xiaojuan Qi, Zhiheng Li, Hao Zhao

ICCV 2025 DimensionX: Create Any 3D and 4D Scenes from a Single Image with Decoupled Video Diffusion Wenqiang Sun, Shuo Chen, Fangfu Liu, Zilong Chen, Yueqi Duan, Jun Zhu, Jun Zhang, Yikai Wang

NeurIPS 2025 Enhancing Contrastive Learning with Variable Similarity Haowen Cui, Shuo Chen, Jun Li, Jian Yang

AAAI 2025 Hybrid Data-Free Knowledge Distillation Jialiang Tang, Shuo Chen, Chen Gong

IJCAI 2025 Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng

AAAI 2025 Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory Sizhuo Jin, Shuo Chen, Jianjun Qian, Ying Tai, Jun Li

AAAI 2025 Modeling Inter-Intra Heterogeneity for Graph Federated Learning Wentao Yu, Shuo Chen, Yongxin Tong, Tianlong Gu, Chen Gong

NeurIPS 2025 RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation Between Labels Zhiqiang Kou, Yucheng Xie, Hailin Wang, Junyang Chen, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Xin Geng

CVPR 2025 Remote Photoplethysmography in Real-World and Extreme Lighting Scenarios Hang Shao, Lei Luo, Jianjun Qian, Mengkai Yan, Shuo Chen, Jian Yang

ICML 2025 Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation Jian Bi, Qianliang Wu, Xiang Li, Shuo Chen, Jianjun Qian, Lei Luo, Jian Yang

AAAI 2025 Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Hongliang Zhang, Shuo Chen, Lei Luo, Jian Yang

ICML 2025 Volume-Aware Distance for Robust Similarity Learning Shuo Chen, Chen Gong, Jun Li, Jian Yang

ECCV 2024 BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation Using RGB Frames and Events Yijin Li, Yichen Shen, Zhaoyang Huang, Shuo Chen, Weikang Bian, Xiaoyu Shi, Fu-Yun Wang, Keqiang Sun, Hujun Bao, Zhaopeng Cui, Guofeng Zhang, Hongsheng Li

ECCV 2024 CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model Zhengyi Wang, Yikai Wang, Yifei Chen, Chendong Xiang, Shuo Chen, Dajiang Yu, Chongxuan Li, Hang Su, Jun Zhu

TMLR 2024 Can We Count on LLMs? the Fixed-Effect Fallacy and Claims of GPT-4 Capabilities Thomas Ball, Shuo Chen, Cormac Herley

ICLR 2024 CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents Siyuan Qi, Shuo Chen, Yexin Li, Xiangyu Kong, Junqi Wang, Bangcheng Yang, Pring Wong, Yifan Zhong, Xiaoyuan Zhang, Zhaowei Zhang, Nian Liu, Yaodong Yang, Song-Chun Zhu

ECCV 2024 Direct Distillation Between Different Domains Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama

IJCAI 2024 Efficiency Calibration of Implicit Regularization in Deep Networks via Self-Paced Curriculum-Driven Singular Value Selection Zhe Li, Shuo Chen, Jian Yang, Lei Luo

ICML 2024 Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding Chuanhao Sun, Zhihang Yuan, Kai Xu, Luo Mai, Siddharth N, Shuo Chen, Mahesh K. Marina

NeurIPS 2024 Novel Object Synthesis via Adaptive Text-Image Harmony Zeren Xiong, Zedong Zhang, Zikun Chen, Shuo Chen, Xiang Li, Gan Sun, Jian Yang, Jun Li

AAAI 2024 On the Unstable Convergence Regime of Gradient Descent Shuo Chen, Jiaying Peng, Xiaolong Li, Yao Zhao

CVPR 2024 PromptKD: Unsupervised Prompt Distillation for Vision-Language Models Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang

ICLRW 2024 Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip Torr, Volker Tresp, Jindong Gu

ICLR 2024 Robust Similarity Learning with Difference Alignment Regularization Shuo Chen, Gang Niu, Chen Gong, Okan Koc, Jian Yang, Masashi Sugiyama

NeurIPS 2023 Benchmarking Robustness of Adaptation Methods on Pre-Trained Vision-Language Models Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip Torr, Volker Tresp

AAAI 2023 Bidirectional Optical Flow NeRF: High Accuracy and High Quality Under Fewer Views Shuo Chen, Binbin Yan, Xinzhu Sang, Duo Chen, Peng Wang, Xiao Guo, Chongli Zhong, Huaming Wan

MLJ 2023 Boundary-Restricted Metric Learning Shuo Chen, Chen Gong, Xiang Li, Jian Yang, Gang Niu, Masashi Sugiyama

ICCV 2023 Creative Birds: Self-Supervised Single-View 3D Style Transfer Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang

ICML 2023 Distortion and Uncertainty Aware Loss for Panoramic Depth Completion Zhiqiang Yan, Xiang Li, Kun Wang, Shuo Chen, Jun Li, Jian Yang

ICCV 2023 Distribution Shift Matters for Knowledge Distillation with Webly Collected Images Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong

ICCV 2023 IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis Weicai Ye, Shuo Chen, Chong Bao, Hujun Bao, Marc Pollefeys, Zhaopeng Cui, Guofeng Zhang

CVPR 2023 PVO: Panoptic Visual Odometry Weicai Ye, Xinyue Lan, Shuo Chen, Yuhang Ming, Xingyuan Yu, Hujun Bao, Zhaopeng Cui, Guofeng Zhang

NeurIPS 2023 Self-Weighted Contrastive Learning Among Multiple Views for Mitigating Representation Degeneration Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu

IJCAI 2022 Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination Hanyu Xuan, Yihong Xu, Shuo Chen, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda

MLJ 2022 Dual-Domain Graph Convolutional Networks for Skeleton-Based Action Recognition Shuo Chen, Ke Xu, Zhongjie Mi, Xinghao Jiang, Tanfeng Sun

CVPR 2022 Industrial Style Transfer with Large-Scale Geometric Warping and Content Preservation Jinchao Yang, Fei Guo, Shuo Chen, Jun Li, Jian Yang

NeurIPS 2022 Learning Contrastive Embedding in Low-Dimensional Space Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama

AAAI 2022 Linearity-Aware Subspace Clustering Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian

NeurIPS 2021 Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong Liu

CVPR 2021 Contrastive Embedding for Generalized Zero-Shot Learning Zongyan Han, Zhenyong Fu, Shuo Chen, Jian Yang

ICML 2021 Large-Margin Contrastive Learning with Distance Polarization Regularizer Shuo Chen, Gang Niu, Chen Gong, Jun Li, Jian Yang, Masashi Sugiyama

ICCV 2021 Social Fabric: Tubelet Compositions for Video Relation Detection Shuo Chen, Zenglin Shi, Pascal Mettes, Cees G. M. Snoek

NeurIPS 2021 Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution Guangpin Tao, Xiaozhong Ji, Wenzhuo Wang, Shuo Chen, Chuming Lin, Yun Cao, Tong Lu, Donghao Luo, Ying Tai

AAAI 2020 AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang

AAAI 2020 Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization Hanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan

NeurIPS 2020 Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

AAAI 2020 Understanding the Disharmony Between Weight Normalization Family and Weight Decay Xiang Li, Shuo Chen, Jian Yang

IJCAI 2019 ATSIS: Achieving the Ad Hoc Teamwork by Sub-Task Inference and Selection Shuo Chen, Ewa Andrejczuk, Athirai Aravazhi Irissappane, Jie Zhang

NeurIPS 2019 Curvilinear Distance Metric Learning Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang

AAAI 2019 Data-Adaptive Metric Learning with Scale Alignment Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li

ICLR 2019 GANSynth: Adversarial Neural Audio Synthesis Jesse Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts

IJCAI 2018 Adversarial Metric Learning Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li

AAAI 2018 POMDP-Based Decision Making for Fast Event Handling in VANETs Shuo Chen, Athirai Aravazhi Irissappane, Jie Zhang

IJCAI 2017 Deep Multi-Species Embedding Di Chen, Yexiang Xue, Daniel Fink, Shuo Chen, Carla P. Gomes

AAAI 2010 What if the Irresponsible Teachers Are Dominating? Shuo Chen, Jianwen Zhang, Guangyun Chen, Changshui Zhang

IJCAI 2009 Selecting Informative Universum Sample for Semi-Supervised Learning Shuo Chen, Changshui Zhang