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ORCIDSongcan Chen
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2020 – today
- 2025
[j199]Shaoyuan Li, Yuxiang Zheng, Ye Shi, Shengjun Huang, Songcan Chen:
KD-Crowd: a knowledge distillation framework for learning from crowds. Frontiers Comput. Sci. 19(1): 191302 (2025)- [j198]Jiaqiang Zhang, Songcan Chen
:
Topology reorganized graph contrastive learning with mitigating semantic drift. Pattern Recognit. 159: 111160 (2025) - 2024
- [j197]Dong Liang, Zhengyan Xu, Ling Li, Mingqiang Wei, Songcan Chen:
PIE: Physics-Inspired Low-Light Enhancement. Int. J. Comput. Vis. 132(9): 3911-3932 (2024) - [j196]Yunyun Wang, Yao Liu, Songcan Chen:
Towards adaptive unknown authentication for universal domain adaptation by classifier paradox. Mach. Learn. 113(4): 1623-1641 (2024) - [j195]Yunyun Wang, Jian Mao, Chenguang Guo, Songcan Chen:
Contrastive Prototype-Guided Generation for Generalized Zero-Shot Learning. Neural Networks 176: 106324 (2024) - [j194]Enhao Zhang, Chuanxing Geng, Chaohua Li, Songcan Chen:
Dynamic Learnable Logit Adjustment for Long-Tailed Visual Recognition. IEEE Trans. Circuits Syst. Video Technol. 34(9): 7986-7997 (2024) - [j193]Jia-Yao Chen, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen, Lei Wang, Ming-Kun Xie:
UNM: A Universal Approach for Noisy Multi-Label Learning. IEEE Trans. Knowl. Data Eng. 36(9): 4968-4980 (2024) - [j192]Qing Tian, Chuang Ma, Meng Cao, Jun Wan, Zhen Lei, Songcan Chen:
Unsupervised Multitarget Domain Adaptation With Dictionary-Bridged Knowledge Exploitation. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3464-3477 (2024) - [c84]Meng Cao, Songcan Chen:
Mixup-Induced Domain Extrapolation for Domain Generalization. AAAI 2024: 11168-11176 - [c83]Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen:
All Beings Are Equal in Open Set Recognition. AAAI 2024: 13446-13454 - [c82]Jiexi Liu, Songcan Chen:
TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning. AAAI 2024: 13918-13926 - [c81]Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen:
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning. AAAI 2024: 15438-15446 - [c80]Feihu Huang, Xinrui Wang, Junyi Li, Songcan Chen:
Adaptive Federated Minimax Optimization with Lower Complexities. AISTATS 2024: 4663-4671 - [c79]Xiang Li, Songcan Chen:
No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning. IJCAI 2024: 4470-4478 - [c78]Haifeng Yang, Chuanxing Geng, Pong C. Yuen, Songcan Chen:
Dynamic against Dynamic: An Open-Set Self-Learning Framework. IJCAI 2024: 5307-5315 - [i65]Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen:
All Beings Are Equal in Open Set Recognition. CoRR abs/2401.17654 (2024) - [i64]Dong Liang, Zhengyan Xu, Ling Li, Mingqiang Wei, Songcan Chen:
PIE: Physics-inspired Low-light Enhancement. CoRR abs/2404.04586 (2024) - [i63]Haifeng Yang, Chuanxing Geng, Pong C. Yuen, Songcan Chen:
Dynamic Against Dynamic: An Open-set Self-learning Framework. CoRR abs/2404.17830 (2024) - [i62]Xiang Li, Jiexi Liu, Xinrui Wang, Songcan Chen:
A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends. CoRR abs/2406.06119 (2024) - [i61]Dong Liang, Yue Sun, Yun Du, Songcan Chen, Sheng-Jun Huang:
Relative Difficulty Distillation for Semantic Segmentation. CoRR abs/2407.03719 (2024) - [i60]Jiaqiang Zhang, Songcan Chen:
Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift. CoRR abs/2407.16726 (2024) - [i59]Enhao Zhang, Chaohua Li, Chuanxing Geng, Songcan Chen:
All-around Neural Collapse for Imbalanced Classification. CoRR abs/2408.07253 (2024) - [i58]Xinrui Wang, Chuanxing Geng, Wenhai Wan, Shaoyuan Li, Songcan Chen:
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning. CoRR abs/2409.19245 (2024) - 2023
- [j191]Quan Feng, Songcan Chen:
Learning multi-tasks with inconsistent labels by using auxiliary big task. Frontiers Comput. Sci. 17(5): 175342 (2023) - [j190]Yunyun Wang, Quchuan Chen, Yao Liu, Weikai Li, Songcan Chen:
TIToK: A solution for bi-imbalanced unsupervised domain adaptation. Neural Networks 164: 81-90 (2023) - [j189]Xiaodong Jia, Xiao-Yuan Jing, Qixing Sun, Songcan Chen, Bo Du, David Zhang:
Human Collective Intelligence Inspired Multi-View Representation Learning - Enabling View Communication by Simulating Human Communication Mechanism. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7412-7429 (2023) - [j188]Weikai Li, Songcan Chen:
Partial Domain Adaptation Without Domain Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8787-8797 (2023) - [j187]Yunxia Lin, Songcan Chen:
Rectified Euler k-means and beyond. Pattern Recognit. 137: 109283 (2023) - [j186]Aiyang Han, Chuanxing Geng, Songcan Chen:
Universum-Inspired Supervised Contrastive Learning. IEEE Trans. Image Process. 32: 4275-4286 (2023) - [j185]Zhongchen Ma, Songcan Chen:
A Similarity-Based Framework for Classification Task. IEEE Trans. Knowl. Data Eng. 35(5): 5438-5443 (2023) - [j184]Simin Kou, Xuesong Yin, Yigang Wang, Songcan Chen, Tieming Chen, Zizhao Wu:
Structure-Aware Subspace Clustering. IEEE Trans. Knowl. Data Eng. 35(10): 10569-10582 (2023) - [j183]Chuanxing Geng, Songcan Chen:
Multiplane Convex Proximal Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4918-4931 (2023) - [j182]Yunxia Lin, Songcan Chen:
Convex Subspace Clustering by Adaptive Block Diagonal Representation. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10065-10078 (2023) - [c77]Ye Li, Songcan Chen, Sheng-Jun Huang:
Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks. AAAI 2023: 8692-8700 - [c76]Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li:
Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery. ICCV 2023: 12923-12933 - [c75]Chuanxing Geng, Songcan Chen:
Collective Decision for Open Set Recognition (Extended Abstract). ICDE 2023: 3773-3774 - [c74]Siyin Huang, Shaoyuan Li, Songcan Chen:
Personalized Federated Semi-Supervised Learning with Black-Box Models. ICDM 2023: 1061-1066 - [c73]Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen:
ALL-E: Aesthetics-guided Low-light Image Enhancement. IJCAI 2023: 1062-1070 - [c72]Xinrui Wang, Wenhai Wan, Chuanxing Geng, Shaoyuan Li, Songcan Chen:
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends. NeurIPS 2023 - [i57]Xin Li, Mingqiang Wei, Songcan Chen:
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information. CoRR abs/2301.12744 (2023) - [i56]Xiang Li, Xinrui Wang, Songcan Chen:
Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels. CoRR abs/2302.14695 (2023) - [i55]Ye Li, Songcan Chen, Sheng-Jun Huang:
Implicit Stochastic Gradient Descent for Training Physics-informed Neural Networks. CoRR abs/2303.01767 (2023) - [i54]Feihu Huang, Songcan Chen:
Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems. CoRR abs/2304.10902 (2023) - [i53]Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen:
ALL-E: Aesthetics-guided Low-light Image Enhancement. CoRR abs/2304.14610 (2023) - [i52]Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shengjun Huang, Songcan Chen, Shaoyuan Li:
Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning. CoRR abs/2305.04203 (2023) - [i51]Xiang Li, Songcan Chen:
No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning. CoRR abs/2308.07047 (2023) - [i50]Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li:
Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery. CoRR abs/2308.16460 (2023) - [i49]Xinrui Wang, Wenhai Wan, Chuanxing Geng, Shaoyuan Li, Songcan Chen:
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends. CoRR abs/2310.04078 (2023) - [i48]Jiexi Liu, Songcan Chen:
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning. CoRR abs/2312.15709 (2023) - 2022
- [j181]Zhenghao Tan, Songcan Chen:
On the learning dynamics of two-layer quadratic neural networks for understanding deep learning. Frontiers Comput. Sci. 16(3): 163313 (2022) - [j180]Yunyun Wang, Chao Wang, Hui Xue, Songcan Chen:
Self-corrected unsupervised domain adaptation. Frontiers Comput. Sci. 16(5): 165323 (2022) - [j179]Shaoyuan Li, Ye Shi, Sheng-Jun Huang, Songcan Chen:
Improving deep label noise learning with dual active label correction. Mach. Learn. 111(3): 1103-1124 (2022) - [j178]Xiang Li, Songcan Chen:
A Concise Yet Effective Model for Non-Aligned Incomplete Multi-View and Missing Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 5918-5932 (2022) - [j177]Weikai Li, Songcan Chen:
Unsupervised domain adaptation with progressive adaptation of subspaces. Pattern Recognit. 132: 108918 (2022) - [j176]Qing Tian, Yanan Zhu, Heyang Sun, Songcan Chen, Hujun Yin:
Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8562-8573 (2022) - [j175]Qing Tian, Chuang Ma, Meng Cao, Songcan Chen, Hujun Yin:
A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition. IEEE Trans. Cybern. 52(2): 849-861 (2022) - [j174]Qing Tian, Heyang Sun, Chuang Ma, Meng Cao, Yi Chu, Songcan Chen:
Heterogeneous Domain Adaptation With Structure and Classification Space Alignment. IEEE Trans. Cybern. 52(10): 10328-10338 (2022) - [j173]Chuanxing Geng, Songcan Chen:
Collective Decision for Open Set Recognition. IEEE Trans. Knowl. Data Eng. 34(1): 192-204 (2022) - [c71]Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen:
With False Friends Like These, Who Can Notice Mistakes? AAAI 2022: 8458-8466 - [c70]Aiyang Han, Songcan Chen:
Universum-Inspired Supervised Contrastive Learning. APWeb/WAIM (2) 2022: 459-473 - [c69]Dan Li, Songcan Chen:
A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree. ICPR 2022: 4808-4814 - [c68]Jiaqiang Zhang, Senzhang Wang, Songcan Chen:
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. IJCAI 2022: 2376-2382 - [c67]Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS 2022 - [i47]Quan Feng, Songcan Chen:
Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task. CoRR abs/2201.02305 (2022) - [i46]Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Can Adversarial Training Be Manipulated By Non-Robust Features? CoRR abs/2201.13329 (2022) - [i45]Zhongchen Ma, Songcan Chen:
A Similarity-based Framework for Classification Task. CoRR abs/2203.02669 (2022) - [i44]Weikai Li, Meng Cao, Songcan Chen:
Jacobian Norm for Unsupervised Source-Free Domain Adaptation. CoRR abs/2204.03467 (2022) - [i43]Quan Feng, Qingyuan Wu, Jiayu Yao, Songcan Chen:
Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts. CoRR abs/2204.05248 (2022) - [i42]Aiyang Han, Songcan Chen:
Universum-inspired Supervised Contrastive Learning. CoRR abs/2204.10695 (2022) - [i41]Dan Li, Songcan Chen:
A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree. CoRR abs/2204.11011 (2022) - [i40]Chuanxing Geng, Aiyang Han, Songcan Chen:
View-labels Are Indispensable: A Multifacet Complementarity Study of Multi-view Clustering. CoRR abs/2205.02507 (2022) - [i39]Jiaqiang Zhang, Senzhang Wang, Songcan Chen:
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. CoRR abs/2205.04816 (2022) - [i38]Yunyun Wang, Weiwen Zheng, Songcan Chen:
Dual-Correction Adaptation Network for Noisy Knowledge Transfer. CoRR abs/2207.04423 (2022) - [i37]Yunyun Wang, Yao Liu, Songcan Chen:
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox. CoRR abs/2207.04494 (2022) - [i36]Enhao Zhang, Chuanxing Geng, Songcan Chen:
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition. CoRR abs/2207.12808 (2022) - [i35]Zhongchen Ma, Lisha Li, Qirong Mao, Songcan Chen:
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels. CoRR abs/2209.01314 (2022) - 2021
- [j172]Shaoyuan Li, Sheng-Jun Huang, Songcan Chen:
Crowdsourcing aggregation with deep Bayesian learning. Sci. China Inf. Sci. 64(3) (2021) - [j171]Di Ma, Songcan Chen:
Semi-blind compressed sensing via adaptive dictionary learning and one-pass online extension. Sci. China Inf. Sci. 64(9) (2021) - [j170]Songcan Chen, Chuanxing Geng:
A comprehensive perspective of contrastive self-supervised learning. Frontiers Comput. Sci. 15(4): 154332 (2021) - [j169]Xiaodong Jia, Xiao-Yuan Jing, Xiaoke Zhu, Songcan Chen, Bo Du, Ziyun Cai, Zhenyu He, Dong Yue:
Semi-Supervised Multi-View Deep Discriminant Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2496-2509 (2021) - [j168]Chuanxing Geng, Sheng-Jun Huang, Songcan Chen:
Recent Advances in Open Set Recognition: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3614-3631 (2021) - [j167]Zhongchen Ma, Songcan Chen:
Expand globally, shrink locally: Discriminant multi-label learning with missing labels. Pattern Recognit. 111: 107675 (2021) - [j166]Yunxia Lin, Songcan Chen:
A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering. IEEE Trans. Fuzzy Syst. 29(7): 2006-2017 (2021) - [j165]Qing Tian, Meng Cao, Songcan Chen, Hujun Yin:
Structure-Exploiting Discriminative Ordinal Multioutput Regression. IEEE Trans. Neural Networks Learn. Syst. 32(1): 266-280 (2021) - [c66]Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang:
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. AAAI 2021: 9161-9169 - [c65]Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training. NeurIPS 2021: 16209-16225 - [c64]Zhongnian Li, Tao Zhang, Wei Shao, Songcan Chen, Daoqiang Zhang:
Sign-aware Perturbations Regression. SDM 2021: 396-404 - [i34]Quan Feng, Songcan Chen:
Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs. CoRR abs/2101.12431 (2021) - [i33]Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Provable Defense Against Delusive Poisoning. CoRR abs/2102.04716 (2021) - [i32]Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang:
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. CoRR abs/2103.14824 (2021) - [i31]Yunxia Lin, Songcan Chen:
Rectified Euler k-means and Beyond. CoRR abs/2108.03081 (2021) - [i30]Weikai Li, Songcan Chen:
Partial Domain Adaptation without Domain Alignment. CoRR abs/2108.12867 (2021) - 2020
- [j164]Shaocheng Guo, Songcan Chen, Qing Tian:
Ordinal factorization machine with hierarchical sparsity. Frontiers Comput. Sci. 14(1): 67-83 (2020) - [j163]Di Ma, Songcan Chen:
Bayesian compressive principal component analysis. Frontiers Comput. Sci. 14(4): 144303 (2020) - [j162]Di Ma, Songcan Chen:
Distribution agnostic Bayesian matching pursuit based on the exponential embedded family. Neurocomputing 410: 401-409 (2020) - [j161]Qi Huang, Xuesong Yin, Songcan Chen, Yigang Wang, Bowen Chen:
Robust nonnegative matrix factorization with structure regularization. Neurocomputing 412: 72-90 (2020) - [j160]Yunyun Wang, Jian-Min Gu, Chao Wang, Songcan Chen, Hui Xue:
Discrimination-Aware Domain Adversarial Neural Network. J. Comput. Sci. Technol. 35(2): 259-267 (2020) - [j159]Yunyun Wang, Lingli Nie, Yun Li, Songcan Chen:
Soft large margin clustering for unsupervised domain adaptation. Knowl. Based Syst. 192: 105344 (2020) - [j158]Chuanxing Geng, Lue Tao, Songcan Chen:
Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes. Pattern Recognit. 102: 107263 (2020) - [j157]Zhenzhen Quan, Songcan Chen:
Robust convex clustering. Soft Comput. 24(2): 731-744 (2020) - [j156]Yingwen Zhu, Songcan Chen:
Growing neural gas with random projection method for high-dimensional data stream clustering. Soft Comput. 24(13): 9789-9807 (2020) - [j155]Ping Li, Songcan Chen:
Shared Gaussian Process Latent Variable Model for Incomplete Multiview Clustering. IEEE Trans. Cybern. 50(1): 61-73 (2020) - [j154]Qing Tian, Wenqiang Zhang, Meng Cao, Liping Wang, Songcan Chen, Hujun Yin:
Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data. ACM Trans. Intell. Syst. Technol. 11(5): 61:1-61:18 (2020) - [c63]Zhao-Yang Liu, Shaoyuan Li, Songcan Chen, Yao Hu, Sheng-Jun Huang:
Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning. AAAI 2020: 4957-4964 - [c62]Feihu Huang, Lue Tao, Songcan Chen:
Accelerated Stochastic Gradient-free and Projection-free Methods. ICML 2020: 4519-4530 - [i29]Chuanxing Geng, Zhenghao Tan, Songcan Chen:
A Multi-view Perspective of Self-supervised Learning. CoRR abs/2003.00877 (2020) - [i28]Qing Tian, Chuang Ma, Meng Cao, Songcan Chen:
Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously. CoRR abs/2003.08051 (2020) - [i27]Zhongchen Ma, Songcan Chen:
Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels. CoRR abs/2004.03951 (2020) - [i26]Yunxia Lin, Songcan Chen:
A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering. CoRR abs/2004.12756 (2020) - [i25]Xiang Li, Songcan Chen:
A Concise yet Effective model for Non-Aligned Incomplete Multi-view and Missing Multi-label Learning. CoRR abs/2005.00976 (2020) - [i24]Feihu Huang, Lue Tao, Songcan Chen:
Accelerated Stochastic Gradient-free and Projection-free Methods. CoRR abs/2007.12625 (2020) - [i23]Feihu Huang, Songcan Chen, Heng Huang:
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. CoRR abs/2008.01296 (2020) - [i22]Weikai Li, Songcan Chen:
Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces. CoRR abs/2009.00520 (2020) - [i21]Yunxia Lin, Songcan Chen:
Convex Subspace Clustering by Adaptive Block Diagonal Representation. CoRR abs/2009.09386 (2020) - [i20]Weikai Li, Chuanxing Geng, Songcan Chen:
Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection. CoRR abs/2012.13309 (2020) - [i19]Lue Tao, Songcan Chen:
With False Friends Like These, Who Can Have Self-Knowledge? CoRR abs/2012.14738 (2020)
2010 – 2019
- 2019
- [j153]Di Ma, Songcan Chen:
2D compressed learning: support matrix machine with bilinear random projections. Mach. Learn. 108(12): 2035-2060 (2019) - [j152]Hui Xue, Lin Wang, Songcan Chen, Yunyun Wang:
A Primal Framework for Indefinite Kernel Learning. Neural Process. Lett. 50(1): 165-188 (2019) - [j151]Qing Tian, Meng Cao, Songcan Chen, Hujun Yin:
Relationships Self-Learning Based Gender-Aware Age Estimation. Neural Process. Lett. 50(3): 2141-2160 (2019) - [j150]Zhongchen Ma, Songcan Chen:
A convex formulation for multiple ordinal output classification. Pattern Recognit. 86: 73-84 (2019) - [j149]Ping Li, Songcan Chen:
Gaussian process approach for metric learning. Pattern Recognit. 87: 17-28 (2019) - [c61]Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang:
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. AAAI 2019: 1503-1510 - [c60]Menglei Hu, Songcan Chen:
One-Pass Incomplete Multi-View Clustering. AAAI 2019: 3838-3845 - [c59]