Shuo Chen - RankMe

92 papers A* 31A 1Journal 56Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Theoretical Perspective on Streaming Noisy Data With Distribution Shift. IEEE Trans. Pattern Anal. Mach. Intell. Wenshui Luo, Shuo Chen, Tao Zhou, Chen Gong
2026	J	`jnl`	Atom-Motif Contrastive Transformer for Molecular Property Prediction. ACM Trans. Intell. Syst. Technol. Wentao Yu, Shuo Chen, Chen Gong, Bo Han, Gang Niu, Masashi Sugiyama
2026	J	`jnl`	ERDDCI: Exact Reversible Diffusion via Dual-Chain Inversion for High-Quality Image Editing. IEEE Trans. Circuits Syst. Video Technol. Jimin Dai, Yingzhen Zhang, Shuo Chen, Jian Yang, Lei Luo
2026	J	`jnl`	Heterogeneity-Aware Knowledge Sharing for Graph Federated Learning. CoRR Wentao Yu, Sheng Wan, Shuo Chen, Bo Han, Chen Gong
2026	A*	`conf`	RMLer: Synthesizing Novel Objects Across Diverse Categories via Reinforcement Mixing Learning. AAAI Jun Li, Zikun Chen, Haibo Chen, Shuo Chen, Jian Yang
2026	J	`jnl`	TranSpike: Pixel-wise frequency reconstruction and spike interaction for remote photoplethysmography. Pattern Recognit. Hang Shao, Lei Luo, Jianjun Qian, Chuanfei Hu, Shuo Chen, Jian Yang
2025	J	`jnl`	Asymptotics-Aware Multi-View Subspace Clustering. IEEE Trans. Multim. Yesong Xu, Shuo Chen, Jun Li, Jian Yang
2025	A*	`conf`	Empowering Large Language Models for Time Series Forecasting with Patterns and Semantics. ICDM Jialiang Tang, Shuo Chen, Chen Gong, Jing Zhang, Dacheng Tao
2025	J	`jnl`	Estimating Per-Class Statistics for Label Noise Learning. IEEE Trans. Pattern Anal. Mach. Intell. Wenshui Luo, Shuo Chen, Tongliang Liu, Bo Han, Gang Niu, Masashi Sugiyama, Dacheng Tao, Chen Gong
2025	A*	`conf`	Hybrid Data-Free Knowledge Distillation. AAAI Jialiang Tang, Shuo Chen, Chen Gong
2025	J	`jnl`	LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics. CoRR Jialiang Tang, Shuo Chen, Chen Gong, Jing Zhang, Dacheng Tao
2025	A*	`conf`	Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning. IJCAI Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng
2025	J	`jnl`	Label Distribution Learning with Biased Annotations by Learning Multi-Label Representation. CoRR Zhiqiang Kou, Si Qin, Hailin Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng
2025	J	`jnl`	Metric Learning-Based Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. Yesong Xu, Shuo Chen, Jun Li, Jian Yang
2025	A*	`conf`	Modeling Inter-Intra Heterogeneity for Graph Federated Learning. AAAI Wentao Yu, Shuo Chen, Yongxin Tong, Tianlong Gu, Chen Gong
2025	A*	`conf`	Remote Photoplethysmography in Real-World and Extreme Lighting Scenarios. CVPR Hang Shao, Lei Luo, Jianjun Qian, Mengkai Yan, Shuo Chen, Jian Yang
2025	J	`jnl`	Remote Photoplethysmography in Real-World and Extreme Lighting Scenarios. CoRR Hang Shao, Lei Luo, Jianjun Qian, Mengkai Yan, Shuo Chen, Jian Yang
2025	A*	`conf`	Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation. ICML Jian Bi, Qianliang Wu, Xiang Li, Shuo Chen, Jianjun Qian, Lei Luo, Jian Yang
2025	J	`jnl`	Robust Learning under Hybrid Noise. ACM Trans. Intell. Syst. Technol. Yang Wei, Shuo Chen, Shanshan Ye, Bo Han, Chen Gong
2025	J	`jnl`	Similarity-Agnostic Contrastive Learning With Alterable Self-Supervision. IEEE Trans. Neural Networks Learn. Syst. Shuo Chen, Chen Gong, Jun Li, Jian Yang
2025	A*	`conf`	Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction. AAAI Hongliang Zhang, Shuo Chen, Lei Luo, Jian Yang
2025	J	`jnl`	VMDiff: Visual Mixing Diffusion for Limitless Cross-Object Synthesis. CoRR Zeren Xiong, Yue Yu, Zedong Zhang, Shuo Chen, Jian Yang, Jun Li
2025	A*	`conf`	Volume-Aware Distance for Robust Similarity Learning. ICML Shuo Chen, Chen Gong, Jun Li, Jian Yang
2025	J	`jnl`	ZS-VAT: Learning Unbiased Attribute Knowledge for Zero-Shot Recognition Through Visual Attribute Transformer. IEEE Trans. Neural Networks Learn. Syst. Zongyan Han, Zhenyong Fu, Shuo Chen, Le Hui, Guangyu Li, Jian Yang, Chang Wen Chen
2024	J	`jnl`	Boosting Graph Contrastive Learning via Adaptive Sampling. IEEE Trans. Neural Networks Learn. Syst. Sheng Wan, Yibing Zhan, Shuo Chen, Shirui Pan, Jian Yang, Dacheng Tao, Chen Gong
2024	—	`conf`	Direct Distillation Between Different Domains. ECCV (80) Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama
2024	J	`jnl`	Direct Distillation between Different Domains. CoRR Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama
2024	J	`jnl`	ERDDCI: Exact Reversible Diffusion via Dual-Chain Inversion for High-Quality Image Editing. CoRR Jimin Dai, Yingzhen Zhang, Shuo Chen, Jian Yang, Lei Luo
2024	A*	`conf`	Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection. IJCAI Zhe Li, Shuo Chen, Jian Yang, Lei Luo
2024	J	`jnl`	Few-shot learning with long-tailed labels. Pattern Recognit. Hongliang Zhang, Shuo Chen, Lei Luo, Jiang Yang
2024	J	`jnl`	Hybrid Data-Free Knowledge Distillation. CoRR Jialiang Tang, Shuo Chen, Chen Gong
2024	—	`conf`	Learning Fully Parametric Subspace Clustering. PRCV (1) Xuanrong Chen, Jianjun Qian, Shuo Chen, Guangyu Li, Jian Yang, Jun Li
2024	J	`jnl`	Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory. CoRR Sizhuo Jin, Shuo Chen, Jianjun Qian, Ying Tai, Jun Li
2024	J	`jnl`	Modeling Inter-Intra Heterogeneity for Graph Federated Learning. CoRR Wentao Yu, Shuo Chen, Yongxin Tong, Tianlong Gu, Chen Gong
2024	A*	`conf`	Novel Object Synthesis via Adaptive Text-Image Harmony. NeurIPS Zeren Xiong, Zedong Zhang, Zikun Chen, Shuo Chen, Xiang Li, Gan Sun, Jian Yang, Jun Li
2024	J	`jnl`	Novel Object Synthesis via Adaptive Text-Image Harmony. CoRR Zeren Xiong, Zedong Zhang, Zikun Chen, Shuo Chen, Xiang Li, Gan Sun, Jian Yang, Jun Li
2024	A*	`conf`	PromptKD: Unsupervised Prompt Distillation for Vision-Language Models. CVPR Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang
2024	J	`jnl`	PromptKD: Unsupervised Prompt Distillation for Vision-Language Models. CoRR Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang
2024	J	`jnl`	Revisiting Prompt Pretraining of Vision-Language Models. CoRR Zhenyuan Chen, Lingfeng Yang, Shuo Chen, Zhaowei Chen, Jiajun Liang, Xiang Li
2024	J	`jnl`	Robust Learning under Hybrid Noise. CoRR Yang Wei, Shuo Chen, Shanshan Ye, Bo Han, Chen Gong
2024	A*	`conf`	Robust Similarity Learning with Difference Alignment Regularization. ICLR Shuo Chen, Gang Niu, Chen Gong, Okan Koc, Jian Yang, Masashi Sugiyama
2024	J	`jnl`	Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction. CoRR Hongliang Zhang, Shuo Chen, Lei Luo, Jian Yang
2024	J	`jnl`	TranPhys: Spatiotemporal Masked Transformer Steered Remote Photoplethysmography Estimation. IEEE Trans. Circuits Syst. Video Technol. Hang Shao, Lei Luo, Jianjun Qian, Shuo Chen, Chuanfei Hu, Jian Yang
2024	J	`jnl`	TranPulse: Remote Photoplethysmography Estimation With Time-Varying Supervision to Disentangle Multiphysiologically Interference. IEEE Trans. Instrum. Meas. Hang Shao, Lei Luo, Jianjun Qian, Shuo Chen, Chuanfei Hu, Jian Yang
2023	J	`jnl`	Atom-Motif Contrastive Transformer for Molecular Property Prediction. CoRR Wentao Yu, Shuo Chen, Chen Gong, Gang Niu, Masashi Sugiyama
2023	J	`jnl`	Boundary-restricted metric learning. Mach. Learn. Shuo Chen, Chen Gong, Xiang Li, Jian Yang, Gang Niu, Masashi Sugiyama
2023	A*	`conf`	Creative Birds: Self-Supervised Single-View 3D Style Transfer. ICCV Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang
2023	J	`jnl`	Creative Birds: Self-Supervised Single-View 3D Style Transfer. CoRR Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang
2023	A*	`conf`	Distortion and Uncertainty Aware Loss for Panoramic Depth Completion. ICML Zhiqiang Yan, Xiang Li, Kun Wang, Shuo Chen, Jun Li, Jian Yang
2023	A*	`conf`	Distribution Shift Matters for Knowledge Distillation with Webly Collected Images. ICCV Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong
2023	J	`jnl`	Distribution Shift Matters for Knowledge Distillation with Webly Collected Images. CoRR Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong
2023	J	`jnl`	Fast subspace clustering by learning projective block diagonal representation. Pattern Recognit. Yesong Xu, Shuo Chen, Jun Li, Chunyan Xu, Jian Yang
2023	J	`jnl`	Hyperbolic embedding steered spatiotemporal graph convolutional network for video-based remote heart rate estimation. Eng. Appl. Artif. Intell. Hang Shao, Lei Luo, Shuo Chen, Chuanfei Hu, Jian Yang
2023	J	`jnl`	Learnable Differencing Center for Nighttime Depth Perception. CoRR Zhiqiang Yan, Yupeng Zheng, Kun Wang, Xiang Li, Zhenyu Zhang, Shuo Chen, Jun Li, Jian Yang
2023	J	`jnl`	Relative margin induced support vector ordinal regression. Expert Syst. Appl. Fa Zhu, Xingchi Chen, Shuo Chen, Wei Zheng, Weidu Ye
2023	A*	`conf`	Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration. NeurIPS Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu
2022	J	`jnl`	Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering. IEEE Trans. Cybern. Yesong Xu, Shuo Chen, Jun Li, Zongyan Han, Jian Yang
2022	J	`jnl`	Feature Selection Boosted by Unselected Features. IEEE Trans. Neural Networks Learn. Syst. Wei Zheng, Shuo Chen, Zhenyong Fu, Fa Zhu, Hui Yan, Jian Yang
2022	A*	`conf`	Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation. CVPR Jinchao Yang, Fei Guo, Shuo Chen, Jun Li, Jian Yang
2022	J	`jnl`	Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation. CoRR Jinchao Yang, Fei Guo, Shuo Chen, Jun Li, Jian Yang
2022	A*	`conf`	Learning Contrastive Embedding in Low-Dimensional Space. NeurIPS Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama
2022	A*	`conf`	Linearity-Aware Subspace Clustering. AAAI Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian
2022	J	`jnl`	Semantic Contrastive Embedding for Generalized Zero-Shot Learning. Int. J. Comput. Vis. Zongyan Han, Zhenyong Fu, Shuo Chen, Jian Yang
2022	J	`jnl`	Streaming feature selection via graph diffusion. Inf. Sci. Wei Zheng, Shuo Chen, Zhenyong Fu, Jun Li, Jian Yang
2021	A*	`conf`	Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model. NeurIPS Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong Liu
2021	J	`jnl`	Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model. CoRR Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong Liu
2021	A	`conf`	Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? ACSAC Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu
2021	J	`jnl`	Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? CoRR Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu
2021	A*	`conf`	Contrastive Embedding for Generalized Zero-Shot Learning. CVPR Zongyan Han, Zhenyong Fu, Shuo Chen, Jian Yang
2021	J	`jnl`	Contrastive Embedding for Generalized Zero-Shot Learning. CoRR Zongyan Han, Zhenyong Fu, Shuo Chen, Jian Yang
2021	A*	`conf`	Large-Margin Contrastive Learning with Distance Polarization Regularizer. ICML Shuo Chen, Gang Niu, Chen Gong, Jun Li, Jian Yang, Masashi Sugiyama
2021	J	`jnl`	Learnable low-rank latent dictionary for subspace clustering. Pattern Recognit. Yesong Xu, Shuo Chen, Jun Li, Lei Luo, Jian Yang
2021	A*	`conf`	Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution. NeurIPS Guangpin Tao, Xiaozhong Ji, Wenzhuo Wang, Shuo Chen, Chuming Lin, Yun Cao, Tong Lu, Donghao Luo, Ying Tai
2021	J	`jnl`	Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution. CoRR Guangpin Tao, Xiaozhong Ji, Wenzhuo Wang, Shuo Chen, Chuming Lin, Yun Cao, Tong Lu, Donghao Luo, Ying Tai
2021	J	`jnl`	δ-Norm-Based Robust Regression With Applications to Image Analysis. IEEE Trans. Cybern. Shuo Chen, Jian Yang, Yang Wei, Lei Luo, Gui-Fu Lu, Chen Gong
2020	A*	`conf`	Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization. AAAI Hanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan
2020	A*	`conf`	Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. NeurIPS Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang
2020	J	`jnl`	Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. CoRR Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang
2020	J	`jnl`	Harnessing Side Information for Classification Under Label Noise. IEEE Trans. Neural Networks Learn. Syst. Yang Wei, Chen Gong, Shuo Chen, Tongliang Liu, Jian Yang, Dacheng Tao
2020	A*	`conf`	Understanding the Disharmony between Weight Normalization Family and Weight Decay. AAAI Xiang Li, Shuo Chen, Jian Yang
2019	A*	`conf`	Curvilinear Distance Metric Learning. NeurIPS Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang
2019	A*	`conf`	Data-Adaptive Metric Learning with Scale Alignment. AAAI Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li
2019	J	`jnl`	Obstacle Detection by Fusing Point Clouds and Monocular Image. Neural Process. Lett. Yang Wei, Jian Yang, Chen Gong, Shuo Chen, Jianjun Qian
2019	A*	`conf`	Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift. CVPR Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang
2018	A*	`conf`	Adversarial Metric Learning. IJCAI Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li
2018	J	`jnl`	Adversarial Metric Learning. CoRR Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li
2018	J	`jnl`	Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift. CoRR Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang
2017	—	`conf`	Harnessing U-disparity in Point Clouds for Obstacle Detection. ACPR Yang Wei, Chen Gong, Shuo Chen
2017	J	`jnl`	Low-Rank Latent Pattern Approximation With Applications to Robust Image Classification. IEEE Trans. Image Process. Shuo Chen, Jian Yang, Lei Luo, Yang Wei, Kaihua Zhang, Ying Tai
2015	J	`jnl`	Online Topic-Aware Influence Maximization. Proc. VLDB Endow. Shuo Chen, Ju Fan, Guoliang Li, Jianhua Feng, Kian-Lee Tan, Jinhui Tang
2014	—	`conf`	Efficient location-aware influence maximization. SIGMOD Conference Guoliang Li, Shuo Chen, Jianhua Feng, Kian-Lee Tan, Wen-Syan Li
2014	J	`jnl`	R3: A Real-Time Route Recommendation System. Proc. VLDB Endow. Henan Wang, Guoliang Li, Huiqi Hu, Shuo Chen, Bingwen Shen, Hao Wu, Wen-Syan Li, Kian-Lee Tan