Songcan Chen - RankMe

401 papers A* 51A 8B 8C 3Misc 1Journal 301Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A gradual coarse-to-fine framework for irregularly sampled multivariate time series analysis. Sci. China Inf. Sci. Jiexi Liu, Meng Cao, Songcan Chen
2026	J	`jnl`	A simple yet lightweight module for enhancing domain generalization through relative representation. Pattern Recognit. Meng Cao, Songcan Chen
2026	A*	`conf`	Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning. AAAI Jiexi Liu, Meng Cao, Songcan Chen
2026	J	`jnl`	Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis. CoRR Junwei Zeng, Dong Liang, Sheng-Jun Huang, Kun Zhan, Songcan Chen
2026	J	`jnl`	Embracing the Power of Known Class Bias in Open Set Recognition From a Reconstruction Perspective. IEEE Trans. Image Process. Heyang Sun, Chuanxing Geng, Songcan Chen
2026	J	`jnl`	Environment is a nexus: generalization process for domain generalization. Frontiers Comput. Sci. Meng Cao, Songcan Chen
2026	J	`jnl`	Filter, Obstruct, and Dilute: Defending Against Backdoor Attacks on Semi-Supervised Learning. IEEE Trans. Inf. Forensics Secur. Xinrui Wang, Wenhai Wan, Xiang Li, Chuanxing Geng, Shao-Yuan Li, Songcan Chen
2026	A*	`conf`	HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition. AAAI Jinpeng Zheng, Shao-Yuan Li, Gan Xu, Wenhai Wan, Zijian Tao, Songcan Chen, Kangkan Wang
2026	J	`jnl`	HomeAdam: Adam and AdamW Algorithms Sometimes Go Home to Obtain Better Provable Generalization. CoRR Feihu Huang, Guanyi Zhang, Songcan Chen
2026	J	`jnl`	ItemRAG: Retrieval-Augmented Generation with Item-Based Knowledge Computing for E-Commerce Product Question Answering. Big Data Min. Anal. Changliang Xu, Yukun Kang, Quan Feng, Jinghua Hua, Piji Li, Feiran Wu, Hu Wei, Xiang Chen, Sheng-Jun Huang, Songcan Chen
2026	J	`jnl`	Negatives-Dominant Contrastive Learning for Generalization in Imbalanced Domains. CoRR Meng Cao, Jiexi Liu, Songcan Chen
2026	J	`jnl`	Prototype-guided diffusion alignment for few-shot unsupervised domain adaptation. Sci. China Inf. Sci. Heyang Sun, Chuanxing Geng, Songcan Chen
2026	A*	`conf`	The Finer the Better: Towards Granular-aware Open-set Domain Generalization. AAAI Yunyun Wang, Zheng Duan, Xinyue Liao, Ke-Jia Chen, Songcan Chen
2025	J	`jnl`	Aesthetics-Guided Low-Light Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. Dong Liang, Yuanhang Gao, Ling Li, Zhengyan Xu, Sheng-Jun Huang, Songcan Chen
2025	J	`jnl`	All-Around Neural Collapse for Imbalanced Classification. IEEE Trans. Knowl. Data Eng. Enhao Zhang, Chaohua Li, Chuanxing Geng, Songcan Chen
2025	A	`conf`	Beyond Myopia: Enhancing Few-Shot Open-Set Recognition via Hyperopia Distillation. ECAI Chuanxing Geng, Xiangshu Ding, Songcan Chen, Pong C. Yuen
2025	J	`jnl`	Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning. CoRR Jiexi Liu, Meng Cao, Songcan Chen
2025	J	`jnl`	Class-aware Universum Inspired re-balance learning for long-tailed recognition. Pattern Recognit. Enhao Zhang, Chuanxing Geng, Songcan Chen
2025	A*	`conf`	Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning. ICML Xinrui Wang, Shao-Yuan Li, Jiaqiang Zhang, Songcan Chen
2025	J	`jnl`	Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning. CoRR Xinrui Wang, Shao-Yuan Li, Jiaqiang Zhang, Songcan Chen
2025	A*	`conf`	DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation. IJCAI Shiji Zhao, Shao-Yuan Li, Chuanxing Geng, Sheng-Jun Huang, Songcan Chen
2025	J	`jnl`	Dual-Correction-Adaptation Network for Noisy Knowledge Transfer. IEEE Trans. Neural Networks Learn. Syst. Yunyun Wang, Weiwen Zheng, Qinghao Li, Songcan Chen
2025	A	`conf`	Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization. AISTATS Feihu Huang, Chunyu Xuan, Xinrui Wang, Siqi Zhang, Songcan Chen
2025	A*	`conf`	Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference. AAAI Jiaqiang Zhang, Songcan Chen
2025	J	`jnl`	Explicit View-Labels Matter: A Multifacet Complementarity Study of Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Chuanxing Geng, Aiyang Han, Songcan Chen
2025	J	`jnl`	Filter, Obstruct and Dilute: Defending Against Backdoor Attacks on Semi-Supervised Learning. CoRR Xinrui Wang, Chuanxing Geng, Wenhai Wan, Shaoyuan Li, Songcan Chen
2025	J	`jnl`	Global Pre-fixing, Local Adjusting: A Simple yet Effective Contrastive Strategy for Continual Learning. CoRR Jia Tang, Xinrui Wang, Songcan Chen
2025	J	`jnl`	Handling Noisy Annotation for Remote Sensing Semantic Segmentation via Boundary-Aware Knowledge Distillation. IEEE Trans. Geosci. Remote. Sens. Yue Sun, Dong Liang, Shao-Yuan Li, Songcan Chen, Sheng-Jun Huang
2025	J	`jnl`	Image Lens Flare Removal Using Adversarial Curve Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang
2025	J	`jnl`	KD-Crowd: a knowledge distillation framework for learning from crowds. Frontiers Comput. Sci. Shaoyuan Li, Yuxiang Zheng, Ye Shi, Shengjun Huang, Songcan Chen
2025	J	`jnl`	LiMuon: Light and Fast Muon Optimizer for Large Models. CoRR Feihu Huang, Yuning Luo, Songcan Chen
2025	A*	`conf`	LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data. IJCAI Chuanxing Geng, Qifei Li, Xinrui Wang, Dong Liang, Songcan Chen, Pong C. Yuen
2025	J	`jnl`	LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data. CoRR Chuanxing Geng, Qifei Li, Xinrui Wang, Dong Liang, Songcan Chen, Pong C. Yuen
2025	A*	`conf`	MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse. AAAI Zijian Tao, Shao-Yuan Li, Wenhai Wan, Jinpeng Zheng, Jia-Yao Chen, Yuchen Li, Sheng-Jun Huang, Songcan Chen
2025	A	`conf`	PSUMatch: Unifying Open-Set Semi-Supervised Learning with Progressive Semantic Universum. ICME Chenyang Song, Songcan Chen
2025	A*	`conf`	ProMEA: Prompt-driven Expansion and Alignment for Single Domain Generalization. IJCAI Yunyun Wang, Yi Guo, Xiaodong Liu, Songcan Chen
2025	J	`jnl`	Prototypes as Anchors: Tackling Unseen Noise for online continual learning. Neural Networks Shaoyuan Li, Yuxiang Zheng, Sheng-Jun Huang, Songcan Chen, Kangkan Wang
2025	J	`jnl`	Pushing one pair of labels apart each time in multi-label learning: from single positive to full labels. Sci. China Inf. Sci. Xiang Li, Xinrui Wang, Songcan Chen
2025	J	`jnl`	Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey. CoRR Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen
2025	J	`jnl`	Robust domain adaptation with noisy and shifted label distribution. Frontiers Comput. Sci. Shao-Yuan Li, Shi-Ji Zhao, Zheng-Tao Cao, Sheng-Jun Huang, Songcan Chen
2025	J	`jnl`	The Finer the Better: Towards Granular-aware Open-set Domain Generalization. CoRR Yunyun Wang, Zheng Duan, Xinyue Liao, Ke-Jia Chen, Songcan Chen
2025	A*	`conf`	TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis. AAAI Jiexi Liu, Meng Cao, Songcan Chen
2025	J	`jnl`	Topology reorganized graph contrastive learning with mitigating semantic drift. Pattern Recognit. Jiaqiang Zhang, Songcan Chen
2025	J	`jnl`	ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning. CoRR Enhao Zhang, Chaohua Li, Chuanxing Geng, Songcan Chen
2025	A*	`conf`	Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition. AAAI Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen
2025	J	`jnl`	You Never Walk Alone: A Generalizable and Nonparametric Structure Learning Framework. IEEE Trans. Neural Networks Learn. Syst. Jiaqiang Zhang, Xinrui Wang, Songcan Chen
2024	J	`jnl`	A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends. CoRR Xiang Li, Jiexi Liu, Xinrui Wang, Songcan Chen
2024	A	`conf`	Adaptive Federated Minimax Optimization with Lower Complexities. AISTATS Feihu Huang, Xinrui Wang, Junyi Li, Songcan Chen
2024	A*	`conf`	All Beings Are Equal in Open Set Recognition. AAAI Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen
2024	J	`jnl`	All Beings Are Equal in Open Set Recognition. CoRR Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen
2024	J	`jnl`	All-around Neural Collapse for Imbalanced Classification. CoRR Enhao Zhang, Chaohua Li, Chuanxing Geng, Songcan Chen
2024	J	`jnl`	Contrastive Prototype-Guided Generation for Generalized Zero-Shot Learning. Neural Networks Yunyun Wang, Jian Mao, Chenguang Guo, Songcan Chen
2024	J	`jnl`	Dynamic Against Dynamic: An Open-set Self-learning Framework. CoRR Haifeng Yang, Chuanxing Geng, Pong C. Yuen, Songcan Chen
2024	J	`jnl`	Dynamic Learnable Logit Adjustment for Long-Tailed Visual Recognition. IEEE Trans. Circuits Syst. Video Technol. Enhao Zhang, Chuanxing Geng, Chaohua Li, Songcan Chen
2024	A*	`conf`	Dynamic against Dynamic: An Open-Set Self-Learning Framework. IJCAI Haifeng Yang, Chuanxing Geng, Pong C. Yuen, Songcan Chen
2024	A*	`conf`	Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning. NeurIPS Xinrui Wang, Chuanxing Geng, Wenhai Wan, Shao-Yuan Li, Songcan Chen
2024	J	`jnl`	Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning. CoRR Xinrui Wang, Chuanxing Geng, Wenhai Wan, Shaoyuan Li, Songcan Chen
2024	J	`jnl`	Guest Editorial: Anomaly detection and open-set recognition applications for computer vision. IET Comput. Vis. Hakan Cevikalp, Robi Polikar, Ömer Nezih Gerek, Songcan Chen, Chuanxing Geng
2024	J	`jnl`	Guidance Not Obstruction: A Conjugate Consistent Enhanced Strategy for Domain Generalization. CoRR Meng Cao, Songcan Chen
2024	A*	`conf`	Mixup-Induced Domain Extrapolation for Domain Generalization. AAAI Meng Cao, Songcan Chen
2024	J	`jnl`	MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis. CoRR Jiexi Liu, Meng Cao, Songcan Chen
2024	A*	`conf`	No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning. IJCAI Xiang Li, Songcan Chen
2024	J	`jnl`	PIE: Physics-Inspired Low-Light Enhancement. Int. J. Comput. Vis. Dong Liang, Zhengyan Xu, Ling Li, Mingqiang Wei, Songcan Chen
2024	J	`jnl`	PIE: Physics-inspired Low-light Enhancement. CoRR Dong Liang, Zhengyan Xu, Ling Li, Mingqiang Wei, Songcan Chen
2024	J	`jnl`	PointSmile: point self-supervised learning via curriculum mutual information. Sci. China Inf. Sci. Xin Li, Mingqiang Wei, Songcan Chen
2024	J	`jnl`	Relative Difficulty Distillation for Semantic Segmentation. CoRR Dong Liang, Yue Sun, Yun Du, Songcan Chen, Sheng-Jun Huang
2024	J	`jnl`	Relative difficulty distillation for semantic segmentation. Sci. China Inf. Sci. Dong Liang, Yue Sun, Yun Du, Songcan Chen, Sheng-Jun Huang
2024	J	`jnl`	Sequential Cooperative Distillation for Imbalanced Multi-Task Learning. J. Comput. Sci. Technol. Quan Feng, Jia-Yu Yao, Ming-Kun Xie, Sheng-Jun Huang, Songcan Chen
2024	J	`jnl`	TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis. CoRR Jiexi Liu, Meng Cao, Songcan Chen
2024	A*	`conf`	TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning. AAAI Jiexi Liu, Songcan Chen
2024	J	`jnl`	Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift. CoRR Jiaqiang Zhang, Songcan Chen
2024	J	`jnl`	Towards adaptive unknown authentication for universal domain adaptation by classifier paradox. Mach. Learn. Yunyun Wang, Yao Liu, Songcan Chen
2024	J	`jnl`	UNM: A Universal Approach for Noisy Multi-Label Learning. IEEE Trans. Knowl. Data Eng. Jia-Yao Chen, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen, Lei Wang, Ming-Kun Xie
2024	A*	`conf`	Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning. AAAI Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen
2024	J	`jnl`	Unsupervised Multitarget Domain Adaptation With Dictionary-Bridged Knowledge Exploitation. IEEE Trans. Neural Networks Learn. Syst. Qing Tian, Chuang Ma, Meng Cao, Jun Wan, Zhen Lei, Songcan Chen
2023	J	`jnl`	A Similarity-Based Framework for Classification Task. IEEE Trans. Knowl. Data Eng. Zhongchen Ma, Songcan Chen
2023	A*	`conf`	ALL-E: Aesthetics-guided Low-light Image Enhancement. IJCAI Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen
2023	J	`jnl`	ALL-E: Aesthetics-guided Low-light Image Enhancement. CoRR Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen
2023	A*	`conf`	Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends. NeurIPS Xinrui Wang, Wenhai Wan, Chuanxing Geng, Shaoyuan Li, Songcan Chen
2023	J	`jnl`	Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends. CoRR Xinrui Wang, Wenhai Wan, Chuanxing Geng, Shaoyuan Li, Songcan Chen
2023	A*	`conf`	Collective Decision for Open Set Recognition (Extended Abstract). ICDE Chuanxing Geng, Songcan Chen
2023	J	`jnl`	Convex Subspace Clustering by Adaptive Block Diagonal Representation. IEEE Trans. Neural Networks Learn. Syst. Yunxia Lin, Songcan Chen
2023	J	`jnl`	Human Collective Intelligence Inspired Multi-View Representation Learning - Enabling View Communication by Simulating Human Communication Mechanism. IEEE Trans. Pattern Anal. Mach. Intell. Xiaodong Jia, Xiao-Yuan Jing, Qixing Sun, Songcan Chen, Bo Du, David Zhang
2023	A*	`conf`	Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks. AAAI Ye Li, Songcan Chen, Sheng-Jun Huang
2023	J	`jnl`	Implicit Stochastic Gradient Descent for Training Physics-informed Neural Networks. CoRR Ye Li, Songcan Chen, Sheng-Jun Huang
2023	J	`jnl`	Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery. CoRR Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li
2023	A*	`conf`	Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery. ICCV Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li
2023	J	`jnl`	Learning multi-tasks with inconsistent labels by using auxiliary big task. Frontiers Comput. Sci. Quan Feng, Songcan Chen
2023	J	`jnl`	Multiplane Convex Proximal Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. Chuanxing Geng, Songcan Chen
2023	J	`jnl`	Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems. CoRR Feihu Huang, Songcan Chen
2023	J	`jnl`	No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning. CoRR Xiang Li, Songcan Chen
2023	J	`jnl`	Partial Domain Adaptation Without Domain Alignment. IEEE Trans. Pattern Anal. Mach. Intell. Weikai Li, Songcan Chen
2023	A*	`conf`	Personalized Federated Semi-Supervised Learning with Black-Box Models. ICDM Siyin Huang, Shaoyuan Li, Songcan Chen
2023	J	`jnl`	PointSmile: Point Self-supervised Learning via Curriculum Mutual Information. CoRR Xin Li, Mingqiang Wei, Songcan Chen
2023	J	`jnl`	Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels. CoRR Xiang Li, Xinrui Wang, Songcan Chen
2023	J	`jnl`	Rectified Euler k-means and beyond. Pattern Recognit. Yunxia Lin, Songcan Chen
2023	J	`jnl`	Structure-Aware Subspace Clustering. IEEE Trans. Knowl. Data Eng. Simin Kou, Xuesong Yin, Yigang Wang, Songcan Chen, Tieming Chen, Zizhao Wu
2023	J	`jnl`	TIToK: A solution for bi-imbalanced unsupervised domain adaptation. Neural Networks Yunyun Wang, Quchuan Chen, Yao Liu, Weikai Li, Songcan Chen
2023	J	`jnl`	TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning. CoRR Jiexi Liu, Songcan Chen
2023	J	`jnl`	Universum-Inspired Supervised Contrastive Learning. IEEE Trans. Image Process. Aiyang Han, Chuanxing Geng, Songcan Chen
2023	J	`jnl`	Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning. CoRR Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shengjun Huang, Songcan Chen, Shaoyuan Li
2022	J	`jnl`	A Concise Yet Effective Model for Non-Aligned Incomplete Multi-View and Missing Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. Xiang Li, Songcan Chen
2022	J	`jnl`	A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition. IEEE Trans. Cybern. Qing Tian, Chuang Ma, Meng Cao, Songcan Chen, Hujun Yin
2022	B	`conf`	A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree. ICPR Dan Li, Songcan Chen
2022	J	`jnl`	A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree. CoRR Dan Li, Songcan Chen
2022	J	`jnl`	A Similarity-based Framework for Classification Task. CoRR Zhongchen Ma, Songcan Chen
2022	A*	`conf`	Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2022	J	`jnl`	Can Adversarial Training Be Manipulated By Non-Robust Features? CoRR Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2022	J	`jnl`	Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition. CoRR Enhao Zhang, Chuanxing Geng, Songcan Chen
2022	J	`jnl`	Collective Decision for Open Set Recognition. IEEE Trans. Knowl. Data Eng. Chuanxing Geng, Songcan Chen
2022	J	`jnl`	Dual-Correction Adaptation Network for Noisy Knowledge Transfer. CoRR Yunyun Wang, Weiwen Zheng, Songcan Chen
2022	J	`jnl`	Heterogeneous Domain Adaptation With Structure and Classification Space Alignment. IEEE Trans. Cybern. Qing Tian, Heyang Sun, Chuang Ma, Meng Cao, Yi Chu, Songcan Chen
2022	J	`jnl`	Improving deep label noise learning with dual active label correction. Mach. Learn. Shaoyuan Li, Ye Shi, Sheng-Jun Huang, Songcan Chen
2022	J	`jnl`	Jacobian Norm for Unsupervised Source-Free Domain Adaptation. CoRR Weikai Li, Meng Cao, Songcan Chen
2022	J	`jnl`	Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels. CoRR Zhongchen Ma, Lisha Li, Qirong Mao, Songcan Chen
2022	J	`jnl`	Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts. CoRR Quan Feng, Qingyuan Wu, Jiayu Yao, Songcan Chen
2022	J	`jnl`	Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task. CoRR Quan Feng, Songcan Chen
2022	J	`jnl`	On the learning dynamics of two-layer quadratic neural networks for understanding deep learning. Frontiers Comput. Sci. Zhenghao Tan, Songcan Chen
2022	A*	`conf`	Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. IJCAI Jiaqiang Zhang, Senzhang Wang, Songcan Chen
2022	J	`jnl`	Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. CoRR Jiaqiang Zhang, Senzhang Wang, Songcan Chen
2022	J	`jnl`	Self-corrected unsupervised domain adaptation. Frontiers Comput. Sci. Yunyun Wang, Chao Wang, Hui Xue, Songcan Chen
2022	J	`jnl`	Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox. CoRR Yunyun Wang, Yao Liu, Songcan Chen
2022	—	`conf`	Universum-Inspired Supervised Contrastive Learning. APWeb/WAIM (2) Aiyang Han, Songcan Chen
2022	J	`jnl`	Universum-inspired Supervised Contrastive Learning. CoRR Aiyang Han, Songcan Chen
2022	J	`jnl`	Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces. IEEE Trans. Circuits Syst. Video Technol. Qing Tian, Yanan Zhu, Heyang Sun, Songcan Chen, Hujun Yin
2022	J	`jnl`	Unsupervised domain adaptation with progressive adaptation of subspaces. Pattern Recognit. Weikai Li, Songcan Chen
2022	J	`jnl`	View-labels Are Indispensable: A Multifacet Complementarity Study of Multi-view Clustering. CoRR Chuanxing Geng, Aiyang Han, Songcan Chen
2022	A*	`conf`	With False Friends Like These, Who Can Notice Mistakes? AAAI Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen
2021	J	`jnl`	A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering. IEEE Trans. Fuzzy Syst. Yunxia Lin, Songcan Chen
2021	J	`jnl`	A comprehensive perspective of contrastive self-supervised learning. Frontiers Comput. Sci. Songcan Chen, Chuanxing Geng
2021	A*	`conf`	Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training. NeurIPS Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2021	J	`jnl`	Crowdsourcing aggregation with deep Bayesian learning. Sci. China Inf. Sci. Shaoyuan Li, Sheng-Jun Huang, Songcan Chen
2021	J	`jnl`	Expand globally, shrink locally: Discriminant multi-label learning with missing labels. Pattern Recognit. Zhongchen Ma, Songcan Chen
2021	A*	`conf`	Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. AAAI Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang
2021	J	`jnl`	Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. CoRR Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang
2021	J	`jnl`	Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs. CoRR Quan Feng, Songcan Chen
2021	J	`jnl`	Partial Domain Adaptation without Domain Alignment. CoRR Weikai Li, Songcan Chen
2021	J	`jnl`	Provable Defense Against Delusive Poisoning. CoRR Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2021	J	`jnl`	Recent Advances in Open Set Recognition: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Chuanxing Geng, Sheng-Jun Huang, Songcan Chen
2021	J	`jnl`	Rectified Euler k-means and Beyond. CoRR Yunxia Lin, Songcan Chen
2021	J	`jnl`	Semi-Supervised Multi-View Deep Discriminant Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. Xiaodong Jia, Xiao-Yuan Jing, Xiaoke Zhu, Songcan Chen, Bo Du, Ziyun Cai, Zhenyu He, Dong Yue
2021	J	`jnl`	Semi-blind compressed sensing via adaptive dictionary learning and one-pass online extension. Sci. China Inf. Sci. Di Ma, Songcan Chen
2021	A	`conf`	Sign-aware Perturbations Regression. SDM Zhongnian Li, Tao Zhang, Wei Shao, Songcan Chen, Daoqiang Zhang
2021	J	`jnl`	Structure-Exploiting Discriminative Ordinal Multioutput Regression. IEEE Trans. Neural Networks Learn. Syst. Qing Tian, Meng Cao, Songcan Chen, Hujun Yin
2020	J	`jnl`	A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering. CoRR Yunxia Lin, Songcan Chen
2020	J	`jnl`	A Concise yet Effective model for Non-Aligned Incomplete Multi-view and Missing Multi-label Learning. CoRR Xiang Li, Songcan Chen
2020	J	`jnl`	A Multi-view Perspective of Self-supervised Learning. CoRR Chuanxing Geng, Zhenghao Tan, Songcan Chen
2020	A*	`conf`	Accelerated Stochastic Gradient-free and Projection-free Methods. ICML Feihu Huang, Lue Tao, Songcan Chen
2020	J	`jnl`	Accelerated Stochastic Gradient-free and Projection-free Methods. CoRR Feihu Huang, Lue Tao, Songcan Chen
2020	J	`jnl`	Bayesian compressive principal component analysis. Frontiers Comput. Sci. Di Ma, Songcan Chen
2020	J	`jnl`	Convex Subspace Clustering by Adaptive Block Diagonal Representation. CoRR Yunxia Lin, Songcan Chen
2020	J	`jnl`	Discrimination-Aware Domain Adversarial Neural Network. J. Comput. Sci. Technol. Yunyun Wang, Jian-Min Gu, Chao Wang, Songcan Chen, Hui Xue
2020	J	`jnl`	Distribution agnostic Bayesian matching pursuit based on the exponential embedded family. Neurocomputing Di Ma, Songcan Chen
2020	J	`jnl`	Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. CoRR Feihu Huang, Songcan Chen, Heng Huang
2020	J	`jnl`	Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels. CoRR Zhongchen Ma, Songcan Chen
2020	J	`jnl`	Growing neural gas with random projection method for high-dimensional data stream clustering. Soft Comput. Yingwen Zhu, Songcan Chen
2020	J	`jnl`	Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes. Pattern Recognit. Chuanxing Geng, Lue Tao, Songcan Chen
2020	J	`jnl`	Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection. CoRR Weikai Li, Chuanxing Geng, Songcan Chen
2020	J	`jnl`	Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data. ACM Trans. Intell. Syst. Technol. Qing Tian, Wenqiang Zhang, Meng Cao, Liping Wang, Songcan Chen, Hujun Yin
2020	J	`jnl`	Ordinal factorization machine with hierarchical sparsity. Frontiers Comput. Sci. Shaocheng Guo, Songcan Chen, Qing Tian
2020	J	`jnl`	Robust convex clustering. Soft Comput. Zhenzhen Quan, Songcan Chen
2020	J	`jnl`	Robust nonnegative matrix factorization with structure regularization. Neurocomputing Qi Huang, Xuesong Yin, Songcan Chen, Yigang Wang, Bowen Chen
2020	J	`jnl`	Shared Gaussian Process Latent Variable Model for Incomplete Multiview Clustering. IEEE Trans. Cybern. Ping Li, Songcan Chen
2020	J	`jnl`	Soft large margin clustering for unsupervised domain adaptation. Knowl. Based Syst. Yunyun Wang, Lingli Nie, Yun Li, Songcan Chen
2020	A*	`conf`	Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning. AAAI Zhao-Yang Liu, Shaoyuan Li, Songcan Chen, Yao Hu, Sheng-Jun Huang
2020	J	`jnl`	Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously. CoRR Qing Tian, Chuang Ma, Meng Cao, Songcan Chen
2020	J	`jnl`	Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces. CoRR Weikai Li, Songcan Chen
2020	J	`jnl`	With False Friends Like These, Who Can Have Self-Knowledge? CoRR Lue Tao, Songcan Chen
2019	J	`jnl`	2D compressed learning: support matrix machine with bilinear random projections. Mach. Learn. Di Ma, Songcan Chen
2019	J	`jnl`	A Primal Framework for Indefinite Kernel Learning. Neural Process. Lett. Hui Xue, Lin Wang, Songcan Chen, Yunyun Wang
2019	J	`jnl`	A convex formulation for multiple ordinal output classification. Pattern Recognit. Zhongchen Ma, Songcan Chen
2019	A*	`conf`	Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation. ICDM Yunyun Wang, Xuzhang Chen, Songcan Chen, Hui Xue
2019	J	`jnl`	Doubly Aligned Incomplete Multi-view Clustering. CoRR Menglei Hu, Songcan Chen
2019	A*	`conf`	Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. AAAI Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang
2019	J	`jnl`	Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. CoRR Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang
2019	A*	`conf`	Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. ICML Feihu Huang, Songcan Chen, Heng Huang
2019	J	`jnl`	Gaussian process approach for metric learning. Pattern Recognit. Ping Li, Songcan Chen
2019	—	`conf`	Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks. PRICAI (3) Jiexi Liu, Songcan Chen
2019	A*	`conf`	One-Pass Incomplete Multi-View Clustering. AAAI Menglei Hu, Songcan Chen
2019	J	`jnl`	One-Pass Incomplete Multi-view Clustering. CoRR Menglei Hu, Songcan Chen
2019	J	`jnl`	Relationships Self-Learning Based Gender-Aware Age Estimation. Neural Process. Lett. Qing Tian, Meng Cao, Songcan Chen, Hujun Yin
2019	J	`jnl`	Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning. CoRR Chuanxing Geng, Lue Tao, Songcan Chen
2019	A*	`conf`	Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. IJCAI Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang
2019	J	`jnl`	Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. CoRR Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang
2018	A*	`conf`	Active Feature Acquisition with Supervised Matrix Completion. KDD Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen
2018	J	`jnl`	Active Feature Acquisition with Supervised Matrix Completion. CoRR Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen
2018	J	`jnl`	Cross modal similarity learning with active queries. Pattern Recognit. Nengneng Gao, Sheng-Jun Huang, Yifan Yan, Songcan Chen
2018	J	`jnl`	Data-driven graph construction and graph learning: A review. Neurocomputing Lishan Qiao, Limei Zhang, Songcan Chen, Dinggang Shen
2018	A*	`conf`	Doubly Aligned Incomplete Multi-view Clustering. IJCAI Menglei Hu, Songcan Chen
2018	C	`conf`	Feature-correlation-aware Gaussian Process Latent Variable Model. ACML Ping Li, Songcan Chen
2018	J	`jnl`	Heterogeneous multi-output classification by structured conditional risk minimization. Pattern Recognit. Lett. Zhongchen Ma, Songcan Chen, Di Ma
2018	J	`jnl`	Hierarchical Dirichlet Process-based Open Set Recognition. CoRR Chuanxing Geng, Songcan Chen
2018	J	`jnl`	Hierarchical Gaussian Processes model for multi-task learning. Pattern Recognit. Ping Li, Songcan Chen
2018	J	`jnl`	Joint Estimation of Multiple Conditional Gaussian Graphical Models. IEEE Trans. Neural Networks Learn. Syst. Feihu Huang, Songcan Chen, Sheng-Jun Huang
2018	J	`jnl`	Joint gender classification and age estimation by nearly orthogonalizing their semantic spaces. Image Vis. Comput. Qing Tian, Songcan Chen
2018	J	`jnl`	Learning Dynamic Conditional Gaussian Graphical Models. IEEE Trans. Knowl. Data Eng. Feihu Huang, Songcan Chen
2018	J	`jnl`	Metric Learning-Guided Least Squares Classifier Learning. IEEE Trans. Neural Networks Learn. Syst. Chuanxing Geng, Songcan Chen
2018	J	`jnl`	Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization. CoRR Feihu Huang, Songcan Chen
2018	J	`jnl`	Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas. IEEE Trans. Medical Imaging Lei Chen, Han Zhang, Junfeng Lu, Kim-Han Thung, Abudumijiti Aibaidula, Luyan Liu, Songcan Chen, Lei Jin, Jinsong Wu, Qian Wang, LiangFu Zhou, Dinggang Shen
2018	J	`jnl`	Multi-dimensional classification via a metric approach. Neurocomputing Zhongchen Ma, Songcan Chen
2018	J	`jnl`	Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories. CoRR Huanhuan Yu, Menglei Hu, Songcan Chen
2018	A*	`conf`	New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. KDD Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang
2018	J	`jnl`	Ordinal space projection learning via neighbor classes representation. Comput. Vis. Image Underst. Qing Tian, Songcan Chen, Tinghuai Ma
2018	J	`jnl`	Recent Advances in Open Set Recognition: A Survey. CoRR Chuanxing Geng, Sheng-Jun Huang, Songcan Chen
2018	J	`jnl`	Robust ordinal regression induced by Neurocomputing Qing Tian, Wenqiang Zhang, Liping Wang, Songcan Chen, Hujun Yin
2017	J	`jnl`	Cross-heterogeneous-database age estimation through correlation representation learning. Neurocomputing Qing Tian, Songcan Chen
2017	C	`ed.`	Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30 - November 1, 2017, Proceedings IDEAL Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Min-Ling Zhang
2017	J	`jnl`	Joint representation classification for collective face recognition. Pattern Recognit. Liping Wang, Songcan Chen
2017	—	`conf`	Multi-Features Fusion Based Face Recognition. ICONIP (6) Xianzhong Long, Songcan Chen
2017	A*	`conf`	Multi-instance multi-label active learning. IJCAI Sheng-Jun Huang, Nengneng Gao, Songcan Chen
2017	A*	`conf`	Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification. AAAI Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen
2017	J	`jnl`	Semi-supervised manifold regularization with adaptive graph construction. Pattern Recognit. Lett. Yunyun Wang, Yan Meng, Yun Li, Songcan Chen, Zhenyong Fu, Hui Xue
2016	J	`jnl`	A Unified Gender-Aware Age Estimation. CoRR Qing Tian, Songcan Chen, Xiaoyang Tan
2016	J	`jnl`	A review on Gaussian Process Latent Variable Models. CAAI Trans. Intell. Technol. Ping Li, Songcan Chen
2016	J	`jnl`	A robust multi-class AdaBoost algorithm for mislabeled noisy data. Knowl. Based Syst. Bo Sun, Songcan Chen, Jiandong Wang, Haiyan Chen
2016	B	`conf`	Cross-heterogeneous-database age estimation with co-representation among them. ICPR Qing Tian, Songcan Chen
2016	J	`jnl`	Generating labeled samples for hyperspectral image classification using correlation of spectral bands. Frontiers Comput. Sci. Lu Yu, Jun Xie, Songcan Chen, Lei Zhu
2016	J	`jnl`	Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification. IEEE Trans. Pattern Anal. Mach. Intell. Mingxia Liu, Daoqiang Zhang, Songcan Chen, Hui Xue
2016	J	`jnl`	Joint Gender Classification and Age Estimation by Nearly Orthogonalizing Their Semantic Spaces. CoRR Qing Tian, Songcan Chen
2016	J	`jnl`	Margin distribution explanation on metric learning for nearest neighbor classification. Neurocomputing Peng-Cheng Zou, Jiandong Wang, Songcan Chen, Haiyan Chen
2016	J	`jnl`	Mixed bi-subject kinship verification via multi-view multi-task learning. Neurocomputing Xiaoqian Qin, Xiaoyang Tan, Songcan Chen
2016	J	`jnl`	Multi-label active learning by model guided distribution matching. Frontiers Comput. Sci. Nengneng Gao, Sheng-Jun Huang, Songcan Chen
2016	J	`jnl`	Ordinal margin metric learning and its extension for cross-distribution image data. Inf. Sci. Qing Tian, Songcan Chen, Lishan Qiao
2016	J	`jnl`	Spatial regularization in subspace learning for face recognition: implicit vs. explicit. Neurocomputing Yulian Zhu, Songcan Chen, Qing Tian
2016	A*	`conf`	Transfer Learning with Active Queries from Source Domain. IJCAI Sheng-Jun Huang, Songcan Chen
2015	J	`jnl`	A novel ordinal learning strategy: Ordinal nearest-centroid projection. Knowl. Based Syst. Qing Tian, Songcan Chen
2015	J	`jnl`	Cumulative attribute relation regularization learning for human age estimation. Neurocomputing Qing Tian, Songcan Chen
2015	J	`jnl`	Detecting differential expression from RNA-seq data with expression measurement uncertainty. Frontiers Comput. Sci. Li Zhang, Songcan Chen, Xuejun Liu
2015	J	`jnl`	FREL: A Stable Feature Selection Algorithm. IEEE Trans. Neural Networks Learn. Syst. Yun Li, Jennie Si, Guojing Zhou, Shasha Huang, Songcan Chen
2015	J	`jnl`	Joint Learning of Multiple Sparse Matrix Gaussian Graphical Models. IEEE Trans. Neural Networks Learn. Syst. Feihu Huang, Songcan Chen
2015	J	`jnl`	Joint Representation Classification for Collective Face Recognition. CoRR Liping Wang, Songcan Chen
2015	J	`jnl`	McMatMHKS: A direct multi-class matrixized learning machine. Knowl. Based Syst. Zhe Wang, Yun Meng, Yujin Zhu, Qi Fan, Songcan Chen, Daqi Gao
2015	A*	`conf`	Multi-Label Active Learning: Query Type Matters. IJCAI Sheng-Jun Huang, Songcan Chen, Zhi-Hua Zhou
2015	J	`jnl`	Semi-supervised classification learning by discrimination-aware manifold regularization. Neurocomputing Yunyun Wang, Songcan Chen, Hui Xue, Zhenyong Fu
2015	B	`conf`	The FG 2015 Kinship Verification in the Wild Evaluation. FG Jiwen Lu, Junlin Hu, Venice Erin Liong, Xiuzhuang Zhou, Andrea Bottino, Ihtesham Ul Islam, Tiago Figueiredo Vieira, Xiaoqian Qin, Xiaoyang Tan, Songcan Chen, Shahar Mahpod, Yosi Keller, Lilei Zheng, Khalid Idrissi, Christophe Garcia, Stefan Duffner, Atilla Baskurt, Modesto Castrillón Santana, Javier Lorenzo-Navarro
2015	J	`jnl`	Tri-Subject Kinship Verification: Understanding the Core of A Family. CoRR Xiaoqian Qin, Xiaoyang Tan, Songcan Chen
2015	J	`jnl`	Tri-Subject Kinship Verification: Understanding the Core of A Family. IEEE Trans. Multim. Xiaoqian Qin, Xiaoyang Tan, Songcan Chen
2015	Misc	`conf`	Tri-subjects kinship verification: Understanding the core of a family. MVA Xiaoqian Qin, Xiaoyang Tan, Songcan Chen
2015	A*	`conf`	Web Page Classification Based on Uncorrelated Semi-Supervised Intra-View and Inter-View Manifold Discriminant Feature Extraction. IJCAI Xiao-Yuan Jing, Qian Liu, Fei Wu, Baowen Xu, Yang-Ping Zhu, Songcan Chen
2015	J	`jnl`	基于特征偏好的聚类研究 (Research on Clustering with Feature Preferences). 计算机科学 Ling Fang, Songcan Chen
2014	J	`jnl`	A Comparative Study: Globality versus Locality for Graph Construction in Discriminant Analysis. J. Appl. Math. Bo Yang, Songcan Chen
2014	J	`jnl`	A Two-Step Regularization Framework for Non-Local Means. J. Comput. Sci. Technol. Zhong-Gui Sun, Songcan Chen, Li-Shan Qiao
2014	J	`jnl`	A general non-local denoising model using multi-kernel-induced measures. Pattern Recognit. Zhonggui Sun, Songcan Chen, Lishan Qiao
2014	J	`jnl`	A unified algorithm for mixed $l_{2, p}$ -minimizations and its application in feature selection. Comput. Optim. Appl. Liping Wang, Songcan Chen, Yuanping Wang
2014	J	`jnl`	Attribute relation learning for zero-shot classification. Neurocomputing Mingxia Liu, Daoqiang Zhang, Songcan Chen
2014	J	`jnl`	Bagging-like metric learning for support vector regression. Knowl. Based Syst. Peng-Cheng Zou, Jiandong Wang, Songcan Chen, Haiyan Chen
2014	J	`jnl`	Comparative study among three strategies of incorporating spatial structures to ordinal image regression. Neurocomputing Qing Tian, Songcan Chen, Xiaoyang Tan
2014	J	`jnl`	Detecting Differential Expression from RNA-seq Data with Expression Measurement Uncertainty. CoRR Li Zhang, Xuejun Liu, Songcan Chen
2014	J	`jnl`	Discriminality-driven regularization framework for indefinite kernel machine. Neurocomputing Hui Xue, Songcan Chen
2014	J	`jnl`	Exploiting relationship between attributes for improved face verification. Comput. Vis. Image Underst. Fengyi Song, Xiaoyang Tan, Songcan Chen
2014	J	`jnl`	Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients. Pattern Recognit. Fengyi Song, Xiaoyang Tan, Xue Liu, Songcan Chen
2014	J	`jnl`	Fuzzy classifier based on fuzzy support vector machine. J. Intell. Fuzzy Syst. Aibing Ji, Songcan Chen, Qiang Hua
2014	—	`conf`	Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease. MLINI@NIPS Chen Zu, Biao Jie, Songcan Chen, Daoqiang Zhang
2014	J	`jnl`	Linear discriminant analysis with worst between-class separation and average within-class compactness. Frontiers Comput. Sci. Leilei Yang, Songcan Chen
2013	J	`jnl`	$l_{2,p}$ Matrix Norm and Its Application in Feature Selection CoRR Liping Wang, Songcan Chen
2013	J	`jnl`	A comparative study on local binary pattern (LBP) based face recognition: LBP histogram versus LBP image. Neurocomputing Bo Yang, Songcan Chen
2013	J	`jnl`	A literature survey on robust and efficient eye localization in real-life scenarios. Pattern Recognit. Fengyi Song, Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou
2013	J	`jnl`	Analysis of Non-Local Euclidean Medians and Its Improvement. IEEE Signal Process. Lett. Zhonggui Sun, Songcan Chen
2013	J	`jnl`	Co-metric: a metric learning algorithm for data with multiple views. Frontiers Comput. Sci. Qiang Qian, Songcan Chen
2013	J	`jnl`	Dimensionality reduction with adaptive graph. Frontiers Comput. Sci. Lishan Qiao, Limei Zhang, Songcan Chen
2013	J	`jnl`	Multi-view classification with cross-view must-link and cannot-link side information. Knowl. Based Syst. Qiang Qian, Songcan Chen, Xudong Zhou
2013	J	`jnl`	Neighborhood Correlation Analysis for Semi-paired Two-View Data. Neural Process. Lett. Xudong Zhou, Xiaohong Chen, Songcan Chen
2013	J	`jnl`	Query-dependent cross-domain ranking in heterogeneous network. Knowl. Inf. Syst. Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Chenhao Tan, Zi Yang
2013	J	`jnl`	Random projection ensemble learning with multiple empirical kernels. Knowl. Based Syst. Zhe Wang, Wenbo Jie, Songcan Chen, Daqi Gao
2013	J	`jnl`	Regularized soft K-means for discriminant analysis. Neurocomputing Xuesong Yin, Songcan Chen, Enliang Hu
2013	J	`jnl`	Safety-Aware Semi-Supervised Classification. IEEE Trans. Neural Networks Learn. Syst. Yunyun Wang, Songcan Chen
2013	J	`jnl`	Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers. Neuroinformatics Bo Cheng, Daoqiang Zhang, Songcan Chen, Daniel Kaufer, Dinggang Shen
2013	J	`jnl`	Soft large margin clustering. Inf. Sci. Yunyun Wang, Songcan Chen
2013	—	`conf`	Stable L2-Regularized Ensemble Feature Weighting. MCS Yun Li, Shasha Huang, Songcan Chen, Jennie Si
2013	J	`jnl`	Three-fold structured classifier design based on matrix pattern. Pattern Recognit. Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen
2012	J	`jnl`	A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data. Pattern Recognit. Xiaohong Chen, Songcan Chen, Hui Xue, Xudong Zhou
2012	J	`jnl`	Can under-exploited structure of original-classes help ECOC-based multi-class classification? Neurocomputing Yunyun Wang, Songcan Chen, Hui Xue
2012	B	`conf`	Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data. ICPR Hui Xue, Songcan Chen, Jijian Huang
2012	A*	`conf`	Ensemble Feature Weighting Based on Local Learning and Diversity. AAAI Yun Li, Su-Yan Gao, Songcan Chen
2012	A	`conf`	Exploiting relationship between attributes for improved face verification. BMVC Fengyi Song, Xiaoyang Tan, Songcan Chen
2012	—	`conf`	Eyes Closeness Detection Using Appearance Based Methods. IIP Xue Liu, Xiaoyang Tan, Songcan Chen
2012	J	`jnl`	Graph optimization for dimensionality reduction with sparsity constraints. Pattern Recognit. Limei Zhang, Songcan Chen, Lishan Qiao
2012	—	`conf`	Learning Attribute Relation in Attribute-Based Zero-Shot Classification. IScIDE Mingxia Liu, Songcan Chen, Daoqiang Zhang
2012	J	`jnl`	Manifold-based canonical correlation analysis for wireless sensor network localization. Wirel. Commun. Mob. Comput. Jingjing Gu, Songcan Chen
2012	J	`jnl`	Margin Distribution Controlled Boosting CoRR Guangxu Guo, Songcan Chen
2012	J	`jnl`	Metric Learning across Heterogeneous Domains by Respectively Aligning Both Priors and Posteriors CoRR Qiang Qian, Songcan Chen
2012	J	`jnl`	New Semi-Supervised Classification Method Based on Modified Cluster Assumption. IEEE Trans. Neural Networks Learn. Syst. Yunyun Wang, Songcan Chen, Zhi-Hua Zhou
2012	J	`jnl`	Plane-Gaussian artificial neural network. Neural Comput. Appl. Xubing Yang, Songcan Chen, Bin Chen
2012	J	`jnl`	Regularized multi-view learning machine based on response surface technique. Neurocomputing Zhe Wang, Jin Xu, Songcan Chen, Daqi Gao
2012	J	`jnl`	Simultaneous clustering and classification over cluster structure representation. Pattern Recognit. Qiang Qian, Songcan Chen, Weiling Cai
2011	J	`jnl`	A novel multi-view classifier based on Nyström approximation. Expert Syst. Appl. Zhe Wang, Songcan Chen, Daqi Gao
2011	J	`jnl`	A novel multi-view learning developed from single-view patterns. Pattern Recognit. Zhe Wang, Songcan Chen, Daqi Gao
2011	J	`jnl`	A structurally motivated framework for discriminant analysis. Pattern Anal. Appl. Bo Yang, Songcan Chen, Xindong Wu
2011	A*	`conf`	BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent. ICML Enliang Hu, Bo Wang, Songcan Chen
2011	J	`jnl`	Glocalization pursuit support vector machine. Neural Comput. Appl. Hui Xue, Songcan Chen
2011	J	`jnl`	Large correlation analysis. Appl. Math. Comput. Xiaohong Chen, Songcan Chen, Hui Xue
2011	—	`conf`	Learning to Advertise: How Many Ads Are Enough? PAKDD (2) Bo Wang, Zhaonan Li, Jie Tang, Kuo Zhang, Songcan Chen, Liyun Ru
2011	J	`jnl`	Localization with Incompletely Paired Data in Complex Wireless Sensor Network. IEEE Trans. Wirel. Commun. Jingjing Gu, Songcan Chen, Tingkai Sun
2011	—	`conf`	Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression. MLMI Bo Cheng, Daoqiang Zhang, Songcan Chen, Dinggang Shen
2011	J	`jnl`	SCIHTBB: Sparsity constrained iterative hard thresholding with Barzilai-Borwein step size. Neurocomputing Zhipeng Xie, Songcan Chen
2011	J	`jnl`	Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier. IEEE Trans. Neural Networks Hui Xue, Songcan Chen, Qiang Yang
2011	J	`jnl`	Support Vector Machine incorporated with feature discrimination. Expert Syst. Appl. Yunyun Wang, Songcan Chen, Hui Xue
2011	J	`jnl`	Two-stage nonparametric kernel leaning: From label propagation to kernel propagation. Neurocomputing Enliang Hu, Songcan Chen, Jiankun Yu, Lishan Qiao
2010	J	`jnl`	A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization. Neural Process. Lett. Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan
2010	J	`jnl`	A multiobjective simultaneous learning framework for clustering and classification. IEEE Trans. Neural Networks Weiling Cai, Songcan Chen, Daoqiang Zhang
2010	J	`jnl`	A tree-structured framework for purifying "complex" clusters with structural roles of individual data. Pattern Recognit. Jundi Ding, RuNing Ma, Jingyu Yang, Songcan Chen
2010	J	`jnl`	An empirical study of two typical locality preserving linear discriminant analysis methods. Neurocomputing Lishan Qiao, Limei Zhang, Songcan Chen
2010	J	`jnl`	Disguised Int. J. Pattern Recognit. Artif. Intell. Bo Yang, Songcan Chen
2010	J	`jnl`	Generalized low-rank approximations of matrices revisited. IEEE Trans. Neural Networks Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
2010	J	`jnl`	Graph-optimized locality preserving projections. Pattern Recognit. Limei Zhang, Lishan Qiao, Songcan Chen
2010	J	`jnl`	Manifold contraction for semi-supervised classification. Sci. China Inf. Sci. Enliang Hu, Songcan Chen, Xuesong Yin
2010	J	`jnl`	SSPS: A Semi-Supervised Pattern Shift for Classification. Neural Process. Lett. Enliang Hu, Xuesong Yin, Yongming Wang, Songcan Chen
2010	J	`jnl`	Sample-dependent graph construction with application to dimensionality reduction. Neurocomputing Bo Yang, Songcan Chen
2010	J	`jnl`	Semi-supervised clustering with metric learning: An adaptive kernel method. Pattern Recognit. Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zhang
2010	J	`jnl`	Semisupervised Kernel Matrix Learning by Kernel Propagation. IEEE Trans. Neural Networks Enliang Hu, Songcan Chen, Daoqiang Zhang, Xuesong Yin
2010	B	`conf`	Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification. PRICAI Shuo Xiang, Songcan Chen, Lishan Qiao
2010	J	`jnl`	Sparsity preserving discriminant analysis for single training image face recognition. Pattern Recognit. Lett. Lishan Qiao, Songcan Chen, Xiaoyang Tan
2010	J	`jnl`	Sparsity preserving projections with applications to face recognition. Pattern Recognit. Lishan Qiao, Songcan Chen, Xiaoyang Tan
2010	J	`jnl`	Structure-Embedded AUC-SVM. Int. J. Pattern Recognit. Artif. Intell. Yunyun Wang, Songcan Chen, Hui Xue
2009	—	`conf`	A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness. ISNN (4) Zhe Wang, Songcan Chen, Daqi Gao
2009	J	`jnl`	A simultaneous learning framework for clustering and classification. Pattern Recognit. Weiling Cai, Songcan Chen, Daoqiang Zhang
2009	—	`conf`	Discriminative Canonical Correlation Analysis with Missing Samples. CSIE (6) Tingkai Sun, Songcan Chen, Jing-Yu Yang, Xuelei Hu, Pengfei Shi
2009	J	`jnl`	Discriminatively regularized least-squares classification. Pattern Recognit. Hui Xue, Songcan Chen, Qiang Yang
2009	A*	`conf`	Enhanced Pictorial Structures for precise eye localization under incontrolled conditions. CVPR Xiaoyang Tan, Fengyi Song, Zhi-Hua Zhou, Songcan Chen
2009	—	`conf`	Exploiting Intensity Inhomogeneity to Extract Textured Objects from Natural Scenes. ACCV (3) Jundi Ding, Jialie Shen, HweeHwa Pang, Songcan Chen, Jing-Yu Yang
2009	J	`jnl`	Face recognition under occlusions and variant expressions with partial similarity. IEEE Trans. Inf. Forensics Secur. Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Jun Liu
2009	A	`conf`	Heterogeneous cross domain ranking in latent space. CIKM Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang, Yanzhu Liu
2009	A*	`conf`	Learning the Optimal Neighborhood Kernel for Classification. IJCAI Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye
2009	J	`jnl`	Local ridge regression for face recognition. Neurocomputing Hui Xue, Yulian Zhu, Songcan Chen
2009	—	`conf`	Matrix-Pattern-Oriented Ho-Kashyap Classifier with Early Stopping. CSIE (3) Zhe Wang, Songcan Chen, Zhisong Pan, Xuelei Ni
2009	J	`jnl`	Multi-view kernel machine on single-view data. Neurocomputing Zhe Wang, Songcan Chen
2009	J	`jnl`	Proximal support vector machine using local information. Neurocomputing Xubing Yang, Songcan Chen, Bin Chen, Zhisong Pan
2009	J	`jnl`	Semi-random subspace method for face recognition. Image Vis. Comput. Yulian Zhu, Jun Liu, Songcan Chen
2008	A*	`conf`	A Novel Method of Combined Feature Extraction for Recognition. ICDM Tingkai Sun, Songcan Chen, Jing-Yu Yang, Pengfei Shi
2008	J	`jnl`	A Scale-Based Connected Coherence Tree Algorithm for Image Segmentation. IEEE Trans. Image Process. Jundi Ding, RuNing Ma, Songcan Chen
2008	J	`jnl`	A study on three linear discriminant analysis based methods in small sample size problem. Pattern Recognit. Jun Liu, Songcan Chen, Xiaoyang Tan
2008	J	`jnl`	Classifier learning with a new locality regularization method. Pattern Recognit. Hui Xue, Songcan Chen, Xiaoqin Zeng
2008	—	`conf`	Clustering Using Normalized Path-Based Metric. ISNN (2) Jundi Ding, RuNing Ma, Songcan Chen, Jing-Yu Yang
2008	A*	`conf`	Constraint Projections for Ensemble Learning. AAAI Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang
2008	J	`jnl`	Constraint Score: A new filter method for feature selection with pairwise constraints. Pattern Recognit. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2008	J	`jnl`	Fractional order singular value decomposition representation for face recognition. Pattern Recognit. Jun Liu, Songcan Chen, Xiaoyang Tan
2008	J	`jnl`	Matrix-pattern-oriented least squares support vector classifier with AdaBoost. Pattern Recognit. Lett. Zhe Wang, Songcan Chen
2008	J	`jnl`	MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. Zhe Wang, Songcan Chen, Tingkai Sun
2008	J	`jnl`	Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector. IEEE Trans. Neural Networks Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang
2008	—	`conf`	Structural Support Vector Machine. ISNN (1) Hui Xue, Songcan Chen, Qiang Yang
2007	—	`conf`	A Novel Approach of Rough Set-Based Attribute Reduction Using Fuzzy Discernibility Matrix. FSKD (3) Ming Yang, Songcan Chen, Xubing Yang
2007	J	`jnl`	Class label versus sample label-based CCA. Appl. Math. Comput. Tingkai Sun, Songcan Chen
2007	J	`jnl`	Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion". IEEE Trans. Neural Networks Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang
2007	J	`jnl`	Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang
2007	J	`jnl`	Entropy-Inspired Competitive Clustering Algorithms. Int. J. Softw. Informatics Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2007	—	`conf`	Exponential Bidirectional Associative Memory Based on Small-world Architecture. ICNC (1) Min Wang, Songcan Chen
2007	J	`jnl`	Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern Recognit. Weiling Cai, Songcan Chen, Daoqiang Zhang
2007	J	`jnl`	Locality preserving CCA with applications to data visualization and pose estimation. Image Vis. Comput. Tingkai Sun, Songcan Chen
2007	J	`jnl`	Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning. Pattern Recognit. Songcan Chen, Zhe Wang, Yongjun Tian
2007	J	`jnl`	New Least Squares Support Vector Machines Based on Matrix Patterns. Neural Process. Lett. Zhe Wang, Songcan Chen
2007	J	`jnl`	Robust fuzzy relational classifier incorporating the soft class labels. Pattern Recognit. Lett. Weiling Cai, Songcan Chen, Daoqiang Zhang
2007	A	`conf`	Semi-Supervised Dimensionality Reduction. SDM Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
2007	—	`conf`	Single Image Subspace for Face Recognition. AMFG Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
2006	—	`conf`	A Fast Directed Tree Based Neighborhood Clustering Algorithm for Image Segmentation. ICONIP (2) Jundi Ding, Songcan Chen, RuNing Ma, Bo Wang
2006	A*	`conf`	Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. ICDM Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
2006	J	`jnl`	Diagonal principal component analysis for face recognition. Pattern Recognit. Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
2006	J	`jnl`	Discriminant common vectors versus neighbourhood components analysis and Laplacianfaces: A comparative study in small sample size problem. Image Vis. Comput. Jun Liu, Songcan Chen
2006	J	`jnl`	Distance-Based Sparse Associative Memory Neural Network Algorithm for Pattern Recognition. Neural Process. Lett. Lei Chen, Songcan Chen
2006	J	`jnl`	Face recognition from a single image per person: A survey. Pattern Recognit. Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang
2006	J	`jnl`	Image binarization focusing on objects. Neurocomputing Songcan Chen, Daohong Li
2006	J	`jnl`	Integrating the improved CBP model with kernel SOM. Neurocomputing Qun Dai, Songcan Chen
2006	—	`conf`	Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion. CVPR (1) Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou
2006	J	`jnl`	Learning the kernel parameters in kernel minimum distance classifier. Pattern Recognit. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2006	J	`jnl`	Non-iterative generalized low rank approximation of matrices. Pattern Recognit. Lett. Jun Liu, Songcan Chen
2006	B	`conf`	Non-negative Matrix Factorization on Kernels. PRICAI Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
2006	—	`conf`	Recognition from a Single Sample per Person with Multiple SOM Fusion. ISNN (2) Xiaoyang Tan, Jun Liu, Songcan Chen
2006	—	`conf`	Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns. SSPR/SPR Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2006	J	`jnl`	Sub-intrapersonal space analysis for face recognition. Neurocomputing Xiaoyang Tan, Jun Liu, Songcan Chen
2005	J	`jnl`	A new face recognition method based on SVD perturbation for single example image per person. Appl. Math. Comput. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2005	J	`jnl`	A unified SWSI-KAMs framework and performance evaluation on face recognition. Neurocomputing Songcan Chen, Lei Chen, Zhi-Hua Zhou
2005	J	`jnl`	Adaptively weighted sub-pattern PCA for face recognition. Neurocomputing Keren Tan, Songcan Chen
2005	J	`jnl`	Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction. Neural Process. Lett. Qun Dai, Songcan Chen
2005	J	`jnl`	Class-information-incorporated principal component analysis. Neurocomputing Songcan Chen, Tingkai Sun
2005	J	`jnl`	Discounted least squares-improved circular back-propogation neural networks with applications in time series prediction. Neural Comput. Appl. Songcan Chen, Qun Dai
2005	J	`jnl`	Enhanced FMAM based on empirical kernel map. IEEE Trans. Neural Networks Min Wang, Songcan Chen
2005	J	`jnl`	Fast image compression using matrix K-L transform. Neurocomputing Daoqiang Zhang, Songcan Chen
2005	B	`conf`	Feature Selection for High Dimensional Face Image Using Self-organizing Maps. PAKDD Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang
2005	J	`jnl`	Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA. Pattern Recognit. Lett. Songcan Chen, Yulian Zhu, Daoqiang Zhang, Jing-Yu Yang
2005	J	`jnl`	Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures. Neural Process. Lett. Daoqiang Zhang, Songcan Chen, Keren Tan
2005	J	`jnl`	Modified linear discriminant analysis. Pattern Recognit. Songcan Chen, Daohong Li
2005	J	`jnl`	Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble. IEEE Trans. Neural Networks Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang
2005	—	`conf`	Representing Image Matrices: Eigenimages Versus Eigenvectors. ISNN (2) Daoqiang Zhang, Songcan Chen, Jun Liu
2005	—	`conf`	Resampling LDA/QR and PCA+LDA for Face Recognition. Australian Conference on Artificial Intelligence Jun Liu, Songcan Chen
2005	J	`jnl`	Seeking multi-thresholds directly from support vectors for image segmentation. Neurocomputing Songcan Chen, Min Wang
2005	—	`conf`	Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition. AMFG Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2005	C	`conf`	Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image. IDEAL Xiaoyang Tan, Jun Liu, Songcan Chen, Fuyan Zhang
2004	J	`jnl`	A comment on "Alternative c-means clustering algorithms". Pattern Recognit. Daoqiang Zhang, Songcan Chen
2004	J	`jnl`	A novel kernelized fuzzy C-means algorithm with application in medical image segmentation. Artif. Intell. Medicine Daoqiang Zhang, Songcan Chen
2004	J	`jnl`	Alternative linear discriminant classifier. Pattern Recognit. Songcan Chen, Xubing Yang
2004	J	`jnl`	Enhanced (PC) Pattern Recognit. Lett. Songcan Chen, Daoqiang Zhang, Zhi-Hua Zhou
2004	—	`conf`	Fuzzy-Kernel Learning Vector Quantization. ISNN (1) Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2004	J	`jnl`	Making FLDA applicable to face recognition with one sample per person. Pattern Recognit. Songcan Chen, Jun Liu, Zhi-Hua Zhou
2004	—	`conf`	Progressive Principal Component Analysis. ISNN (1) Jun Liu, Songcan Chen, Zhi-Hua Zhou
2004	—	`conf`	Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face. ISNN (1) Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang
2004	—	`conf`	Robust Image Denoising Using Kernel-Induced Measures. ICPR (4) Keren Tan, Songcan Chen, Daoqiang Zhang
2004	J	`jnl`	Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Trans. Syst. Man Cybern. Part B Songcan Chen, Daoqiang Zhang
2004	B	`conf`	Semi-supervised Kernel-Based Fuzzy C-Means. ICONIP Daoqiang Zhang, Keren Tan, Songcan Chen
2004	J	`jnl`	Subpattern-based principle component analysis. Pattern Recognit. Songcan Chen, Yulian Zhu
2003	J	`jnl`	A new method based on SOM network to generate coarse meshes for overlapping unstructured multigrid algorithm. Appl. Math. Comput. Hongqiang Lu, Yizhao Wu, Songcan Chen
2003	J	`jnl`	Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm. Neural Process. Lett. Daoqiang Zhang, Songcan Chen
2003	J	`jnl`	Improved CBP Neural Network Model with Applications in Time Series Prediction. Neural Process. Lett. Qun Dai, Songcan Chen, Benzhu Zhang