Chris Ding - RankMe

62 papers A* 11A 1Misc 2Journal 43Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Adaptive Riemannian Graph Neural Networks. AAAI Xudong Wang, Chris Ding, Tongxin Li, Jicong Fan
2026	J	`jnl`	Evaluation and Benchmarking Suite for Financial Large Language Models and Agents. CoRR Shengyuan Colin Lin, Kaiwen He, Jaisal Patel, Qinchuan Zhang, Chris Ding, James Tang, Keyi Wang, Yupeng Cao, Yan Wang, Kairong Xiao, Vincent Caldeira, Matt White, Xiao-Yang Liu Yanglet
2026	J	`jnl`	FTDMamba: Frequency-Assisted Temporal Dilation Mamba for Unmanned Aerial Vehicle Video Anomaly Detection. CoRR Cheng-Zhuang Liu, Si-Bao Chen, Qing-Ling Shu, Chris Ding, Jin Tang, Bin Luo
2026	J	`jnl`	Multi-scale feature sharing and collaborative sampling for unsupervised vehicle re-identification. Pattern Recognit. Jia-Jia Li, Sibao Chen, Chris Ding, Bin Luo
2025	J	`jnl`	Adaptive Riemannian Graph Neural Networks. CoRR Xudong Wang, Tongxin Li, Chris Ding, Jicong Fan
2025	J	`jnl`	Contrastive Multiview Low-Rank Latent Subspace Self-Representation and Classification Network. IEEE Trans. Syst. Man Cybern. Syst. Deyu Zeng, Tengyu Zhang, Zongze Wu, Wei Liu, Chris Ding, Weixiang Liu
2025	J	`jnl`	Contrastive independent subspace analysis network for multi-view spatial information extraction. Neural Networks Tengyu Zhang, Deyu Zeng, Wei Liu, Zongze Wu, Chris Ding, Xiaopin Zhong
2025	J	`jnl`	DualNILM: Energy Injection Identification Enabled Disaggregation with Deep Multi-Task Learning. CoRR Xudong Wang, Guoming Tang, Junyu Xue, Srinivasan Keshav, Tongxin Li, Chris Ding
2025	A*	`conf`	Effective and Efficient Similarity Search for DNA Sequences Through de Bruijn Sum Graph Embedding. ICDM Zhaochong Yu, Zihang Yang, Chris Ding, Chao Zeng, Feijuan Huang, Yuanzhe Cai
2025	A*	`conf`	Explainable Graph Representation Learning via Graph Pattern Analysis. IJCAI Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan
2025	J	`jnl`	Explainable Graph Representation Learning via Graph Pattern Analysis. CoRR Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan
2025	J	`jnl`	Learnable Kernel Density Estimation for Graphs. CoRR Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan
2025	Misc	`conf`	Learning Class Unique Features in Fine-Grained Visual Classification. ICASSP Runkai Zheng, Li Liu, Zhijia Yu, Yinqi Zhang, Hei Victor Cheng, Chris Ding
2025	Misc	`conf`	Multi-view Subspace Classification: A Hierarchical Contrastive Approach and Low-rank Latent Representation. ICASSP Deyu Zeng, Tengyu Zhang, Zongze Wu, Wei Liu, Chris Ding
2025	J	`jnl`	Multidimensional Remote Sensing Change Detection Based on Siamese Dual-Branch Networks. IEEE Trans. Geosci. Remote. Sens. Li-rong Shen, Sibao Chen, Lili Huang, Zhi-Hui You, Chris Ding, Jin Tang, Bin Luo
2025	J	`jnl`	Weighted Sparse Partial Least Squares With Joint Sample and Feature Selection for Integrating Multi-Omics Data. IEEE Trans. Comput. Biol. Bioinform. Wenwen Min, Taosheng Xu, Chris Ding
2024	J	`jnl`	FL-GNNs: Robust Network Representation via Feature Learning Guided Graph Neural Networks. IEEE Trans. Netw. Sci. Eng. Beibei Wang, Bo Jiang, Chris Ding
2024	J	`jnl`	Fuzzy K-Means Clustering without Cluster Centroids. CoRR Han Lu, Fangfang Li, Quanxue Gao, Cheng Deng, Chris Ding, Qianqian Wang
2024	J	`jnl`	K-means Derived Unsupervised Feature Selection using Improved ADMM. CoRR Ziheng Sun, Chris Ding, Jicong Fan
2024	A*	`conf`	Learning Graph Representation via Graph Entropy Maximization. ICML Ziheng Sun, Xudong Wang, Chris Ding, Jicong Fan
2024	A*	`conf`	Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. AAAI Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu
2024	A*	`conf`	Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice. ICLR Jicong Fan, Rui Chen, Zhao Zhang, Chris Ding
2024	J	`jnl`	Non-linear Feature Selection Based on Convolution Neural Networks with Sparse Regularization. Cogn. Comput. Wen-Bin Wu, Sibao Chen, Chris Ding, Bin Luo
2024	J	`jnl`	Segmentary group-sparsity self-representation learning and spectral clustering via double L21 norm. Knowl. Based Syst. Deyu Zeng, Chris Ding, Zongze Wu, Xiaopin Zhong, Weixiang Liu
2023	J	`jnl`	Combinatorial online high-order interactive feature selection based on dynamic graph convolution network. Signal Process. Wen-Bin Wu, Jun-Jun Sun, Sibao Chen, Chris Ding, Bin Luo
2023	J	`jnl`	Data representation learning via dictionary learning and self-representation. Appl. Intell. Deyu Zeng, Jing Sun, Zongze Wu, Chris Ding, Zhigang Ren
2023	A*	`conf`	Federated Spectral Clustering via Secure Similarity Reconstruction. NeurIPS Dong Qiao, Chris Ding, Jicong Fan
2023	A*	`conf`	Lovász Principle for Unsupervised Graph Representation Learning. NeurIPS Ziheng Sun, Chris Ding, Jicong Fan
2023	—	`conf`	MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging. MICCAI (1) Yixiong Chen, Li Liu, Jingxian Li, Hua Jiang, Chris Ding, Zongwei Zhou
2023	J	`jnl`	Tensorized Bipartite Graph Learning for Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao, Chris Ding, Dacheng Tao
2023	J	`jnl`	Weighted Sparse Partial Least Squares for Joint Sample and Feature Selection. CoRR Wenwen Min, Taosheng Xu, Chris Ding
2023	J	`jnl`	X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models. CoRR Yixiong Chen, Li Liu, Chris Ding
2022	—	`conf`	Data Representation and Clustering with Double Low-Rank Constraints. ICONIP (4) Haoming He, Deyu Zeng, Chris Ding, Zongze Wu
2022	J	`jnl`	Labeled-Robust Regression: Simultaneous Data Recovery and Classification. IEEE Trans. Cybern. Deyu Zeng, Zongze Wu, Chris Ding, Zhigang Ren, Qingyu Yang, Shengli Xie
2022	J	`jnl`	Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning. CoRR Longkang Li, Siyuan Liang, Zihao Zhu, Xiaochun Cao, Chris Ding, Hongyuan Zha, Baoyuan Wu
2022	J	`jnl`	MetaLR: Layer-wise Learning Rate based on Meta-Learning for Adaptively Fine-tuning Medical Pre-trained Models. CoRR Yixiong Chen, Jingxian Li, Hua Jiang, Li Liu, Chris Ding
2022	J	`jnl`	MvInf: Social Influence Prediction with Multi-view Graph Attention Learning. Cogn. Comput. Huifang Xu, Bo Jiang, Chris Ding
2022	J	`jnl`	Rethinking Two Consensuses of the Transferability in Deep Learning. CoRR Yixiong Chen, Jingxian Li, Chris Ding, Li Liu
2021	J	`jnl`	Learning Graph Similarity With Large Spectral Gap. IEEE Trans. Syst. Man Cybern. Syst. Zongze Wu, Sihui Liu, Chris Ding, Zhigang Ren, Shengli Xie
2021	J	`jnl`	Non-Greedy L21-Norm Maximization for Principal Component Analysis. IEEE Trans. Image Process. Feiping Nie, Lai Tian, Heng Huang, Chris Ding
2020	J	`jnl`	A group lasso based sparse KNN classifier. Pattern Recognit. Lett. Shuai Zheng, Chris Ding
2020	J	`jnl`	Double robust principal component analysis. Neurocomputing Qianqian Wang, Quanxue Gao, Gan Sun, Chris Ding
2020	J	`jnl`	Revisiting L IEEE Trans. Neural Networks Learn. Syst. Bo Jiang, Chris Ding
2020	J	`jnl`	Supervised Dimensionality Reduction Methods via Recursive Regression. IEEE Trans. Neural Networks Learn. Syst. Yun Liu, Rui Zhang, Feiping Nie, Xuelong Li, Chris Ding
2020	J	`jnl`	Towards Class-Specific Unit. CoRR Runkai Zheng, Zhijia Yu, Yinqi Zhang, Chris Ding, Hei Victor Cheng, Li Liu
2019	J	`jnl`	${R}_1$ -2-DPCA and Face Recognition. IEEE Trans. Cybern. Quanxue Gao, Sai Xu, Fang Chen, Chris Ding, Xinbo Gao, Yunsong Li
2019	A*	`conf`	A Probabilistic Derivation of LASSO and L12-Norm Feature Selections. AAAI Di Ming, Chris Ding, Feiping Nie
2019	J	`jnl`	Harmonic Mean Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. Shuai Zheng, Chris Ding, Feiping Nie, Heng Huang
2019	J	`jnl`	Image Representation and Learning With Graph-Laplacian Tucker Tensor Decomposition. IEEE Trans. Cybern. Bo Jiang, Chris Ding, Jin Tang, Bin Luo
2019	A*	`conf`	Robust Flexible Feature Selection via Exclusive L21 Regularization. IJCAI Di Ming, Chris Ding
2019	J	`jnl`	Sparse classification using Group Matching Pursuit. Neurocomputing Shuai Zheng, Chris Ding
2018	—	`ch.`	Dimension Reduction Techniques for Clustering. Encyclopedia of Database Systems (2nd ed.) Chris Ding
2018	J	`jnl`	Minimal Support Vector Machine. CoRR Shuai Zheng, Chris Ding
2018	J	`jnl`	Non-greedy Max-min Large Margin based on L1-norm. Pattern Recognit. Lett. Si-Bao Chen, Chong Zuo, Chris Ding, Bin Luo
2018	J	`jnl`	Robust data representation using locally linear embedding guided PCA. Neurocomputing Bo Jiang, Chris Ding, Bin Luo
2018	J	`jnl`	Saliency detection via a multi-layer graph based diffusion model. Neurocomputing Bo Jiang, Zhouqin He, Chris Ding, Bin Luo
2018	—	`conf`	Transductive Semi-Supervised Deep Learning Using Min-Max Features. ECCV (5) Weiwei Shi, Yihong Gong, Chris Ding, Zhiheng Ma, Xiaoyu Tao, Nanning Zheng
2017	A*	`conf`	Binary Constraint Preserving Graph Matching. CVPR Bo Jiang, Jin Tang, Chris Ding, Bin Luo
2017	—	`conf`	Graph Matching via Multiplicative Update Algorithm. NIPS Bo Jiang, Jin Tang, Chris Ding, Yihong Gong, Bin Luo
2017	J	`jnl`	L1-norm Error Function Robustness and Outlier Regularization. CoRR Chris Ding, Bo Jiang
2017	J	`jnl`	Outlier Regularization for Vector Data and L21 Norm Robustness. CoRR Bo Jiang, Chris Ding
2003	A	`conf`	Document Retrieval and Clustering: from Principal Component Analysis to Self-aggregation Networks. AISTATS Chris Ding