Tingjin Luo - RankMe

62 papers A* 13A 2Journal 41Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hierarchical teacher-student learning framework with adaptive cross-modal fusion for brain tumor segmentation. Expert Syst. Appl. Tongxue Zhou, Su Ruan, Jinming Duan, Haigen Hu, Yanda Meng, Ling Huang, Defu Yang, Bingbing Jiang, Tingjin Luo, Zhiwei Ji, Baiying Lei
2026	J	`jnl`	A reliable framework for brain tumor segmentation via multi-modal fusion and uncertainty modeling. Inf. Fusion Tongxue Zhou, Mingyang Li, Su Ruan, Tingjin Luo, Bingbing Jiang, Junan Zhu, Ping Ma, Defu Yang, Guang Yang
2026	J	`jnl`	Adaptive Disentangled Representation Learning for Incomplete Multi-View Multi-Label Classification. CoRR Quanjiang Li, Zhiming Liu, Tianxiang Xu, Tingjin Luo, Chenping Hou
2026	—	`conf`	CLASS: Deep Partial Label Feature Selection with Cluster-Guided Disambiguation and Structured Sparsity. KDD (1) Tingjin Luo, Mengyuan Tong, Qingyang Shu, Yueying Liu, Hao Zhou, Zhen Wang
2026	A*	`conf`	DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering. AAAI Xinyi Wang, Yiping Song, Zhiliang Tian, Bo Liu, Tingjin Luo, Minlie Huang
2026	—	`conf`	ESTIM: Efficient and Scalable Tensorial Incomplete Multi-view Semi-supervised Classification. KDD (1) Tingjin Luo, Xiangyao Li, Zhangqi Jiang, Shuanghui Zhang, Dewen Hu
2026	A*	`conf`	Multi-Label Classification with Incremental and Decremental Features. AAAI Mingdie Jiang, Quanjiang Li, Tingjin Luo, Yiping Song, Chenping Hou
2026	J	`jnl`	NLSC: A noise-robust label shift correction framework via three-head training and class-adaptive cleaning. Inf. Sci. Xiaowen Wu, Ruidong Fan, Tingjin Luo, Chenping Hou
2026	J	`jnl`	Non-Convex Transfer Subspace Learning via Embedded Distribution Alignment. IEEE Trans. Image Process. Tingjin Luo, Yueying Liu, Xinyue Zhang, Chenping Hou
2025	J	`jnl`	A forward k-means algorithm for regression clustering. Inf. Sci. Jun Lu, Tingjin Luo, Kai Li
2025	J	`jnl`	Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation. CoRR Zhangqi Jiang, Tingjin Luo, Xu Yang, Xinyan Liang
2025	A*	`conf`	Core-to-Global Reasoning for Compositional Visual Question Answering. AAAI Hao Zhou, Tingjin Luo, Zhangqi Jiang
2025	—	`conf`	DCMKC: A Dual Consistency Matching Approach for Multi-hop Question Answering in LLMs. EMNLP (Findings) Xinyi Wang, Yiping Song, Chang Liu, Tingjin Luo, Bo Liu, Zheng Xie, Minlie Huang
2025	J	`jnl`	DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering. CoRR Xinyi Wang, Yiping Song, Zhiliang Tian, Bo Liu, Tingjin Luo, Minlie Huang
2025	A*	`conf`	Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens. CVPR Zhangqi Jiang, Junkai Chen, Beier Zhu, Tingjin Luo, Yankun Shen, Xu Yang
2025	J	`jnl`	Dynamic collaborative learning with heterogeneous knowledge transfer for long-tailed visual recognition. Inf. Fusion Hao Zhou, Tingjin Luo, Yongming He
2025	J	`jnl`	Exploring the Essence of Relationships for Scene Graph Generation via Causal Features Enhancement Network. IEEE Trans. Pattern Anal. Mach. Intell. Hao Zhou, Tingjin Luo, Jun Zhang, Liguo Liu
2025	J	`jnl`	Imbalanced multi-instance multi-label learning via tensor product-based semantic fusion. Frontiers Comput. Sci. Xinyue Zhang, Tingjin Luo
2025	J	`jnl`	Noise-free prototype guided representation calibration under label noise. Knowl. Based Syst. Huiting Yuan, Tingjin Luo, Xinghao Wu, Jie Jiang
2025	J	`jnl`	Nonconvex and adaptive multi-Label learning for highly incomplete labels. Knowl. Based Syst. Tingjin Luo, Quanjiang Liang, Mingdie Jiang, Chenping Hou
2025	J	`jnl`	Nonconvex and discriminative transfer subspace learning for unsupervised domain adaptation. Frontiers Comput. Sci. Yueying Liu, Tingjin Luo
2025	A*	`conf`	One-step Label Shift Adaptation via Robust Weight Estimation. IJCAI Ruidong Fan, Xiao Ouyang, Tingjin Luo, Lijun Zhang, Chenping Hou
2025	A*	`conf`	Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label. AAAI Quanjiang Li, Tingjin Luo, Mingdie Jiang, Zhangqi Jiang, Chenping Hou, Feijiang Li
2025	A*	`conf`	Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels. CVPR Quanjiang Li, Tingjin Luo, Jiahui Liao
2025	A*	`conf`	Trusted Multi-View Classification with Expert Knowledge Constraints. ICML Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li
2024	J	`jnl`	Absent Multiview Semisupervised Classification. IEEE Trans. Cybern. Wenzhang Zhuge, Tingjin Luo, Ruidong Fan, Hong Tao, Chenping Hou, Dongyun Yi
2024	J	`jnl`	Compound Weakly Supervised Clustering. IEEE Trans. Image Process. Hong Tao, Jiacheng Jiang, Chenping Hou, Tingjin Luo, Ruidong Fan, Jing Zhang
2024	A*	`conf`	Core-Structures-Guided Multi-Modal Classification Neural Architecture Search. IJCAI Pinhan Fu, Xinyan Liang, Tingjin Luo, Qian Guo, Yayu Zhang, Yuhua Qian
2024	A*	`conf`	Deep Incomplete Multi-View Learning Network with Insufficient Label Information. AAAI Zhangqi Jiang, Tingjin Luo, Xinyan Liang
2024	A*	`conf`	Deep Incomplete Multi-View Network Semi-Supervised Multi-Label Learning with Unbiased Loss. ACM Multimedia Quanjiang Li, Tingjin Luo, Mingdie Jiang, Jiahui Liao, Zhangqi Jiang
2024	J	`jnl`	Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens. CoRR Zhangqi Jiang, Junkai Chen, Beier Zhu, Tingjin Luo, Yankun Shen, Xu Yang
2024	A*	`conf`	Imbalanced Multi-instance Multi-label Learning via Coding Ensemble and Adaptive Thresholds. ACM Multimedia Xinyue Zhang, Tingjin Luo, Yueying Liu, Chenping Hou
2024	J	`jnl`	Robust discriminative feature learning with calibrated data reconstruction and sparse low-rank model. Appl. Intell. Tingjin Luo, Yang Yang, Dongyun Yi, Jieping Ye
2023	J	`jnl`	Active label distribution learning via kernel maximum mean discrepancy. Frontiers Comput. Sci. Xinyue Dong, Tingjin Luo, Ruidong Fan, Wenzhang Zhuge, Chenping Hou
2023	J	`jnl`	Debiased Scene Graph Generation for Dual Imbalance Learning. IEEE Trans. Pattern Anal. Mach. Intell. Hao Zhou, Jun Zhang, Tingjin Luo, Yazhou Yang, Jun Lei
2023	J	`jnl`	Decorrelated spectral regression: An unsupervised dimension reduction method under data selection bias. Neurocomputing Xiuqi Huang, Haotian Ni, Tingjin Luo, Hong Tao, Chenping Hou
2023	J	`jnl`	Incomplete Multi-View Learning Under Label Shift. IEEE Trans. Image Process. Ruidong Fan, Xiao Ouyang, Tingjin Luo, Dewen Hu, Chenping Hou
2023	—	`conf`	Joint Distribution Alignment and Transfer Subspace Learning for Unsupervised Domain Adaptation. CCIS Yueying Liu, Tingjin Luo
2023	J	`jnl`	Online Learning With Incremental Feature Space and Bandit Feedback. IEEE Trans. Knowl. Data Eng. Shilin Gu, Tingjin Luo, Ming He, Chenping Hou
2023	J	`jnl`	Semi-Supervised Learning With Label Proportion. IEEE Trans. Knowl. Data Eng. Ningzhao Sun, Tingjin Luo, Wenzhang Zhuge, Hong Tao, Chenping Hou, Dewen Hu
2022	J	`jnl`	A unified deep sparse graph attention network for scene graph generation. Pattern Recognit. Hao Zhou, Yazhou Yang, Tingjin Luo, Jun Zhang, Shuohao Li
2022	J	`jnl`	Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data. IEEE Trans. Knowl. Data Eng. Wenzhang Zhuge, Hong Tao, Tingjin Luo, Ling-Li Zeng, Chenping Hou, Dongyun Yi
2022	J	`jnl`	Multi-instance positive and unlabeled learning with bi-level embedding. Intell. Data Anal. Xijia Tang, Chao Xu, Tingjin Luo, Chenping Hou
2022	J	`jnl`	Safe incomplete label distribution learning. Pattern Recognit. Jing Zhang, Hong Tao, Tingjin Luo, Chenping Hou
2021	J	`jnl`	Active label distribution learning. Neurocomputing Xinyue Dong, Shilin Gu, Wenzhang Zhuge, Tingjin Luo, Chenping Hou
2021	—	`conf`	Multiple Instance Learning for Unilateral Data. PAKDD (1) Xijia Tang, Tingjin Luo, Tianxiang Luan, Chenping Hou
2021	A	`conf`	Relationship-Aware Primal-Dual Graph Attention Network For Scene Graph Generation. ICME Hao Zhou, Tingjin Luo, Jun Zhang, Jun Lei, Shuohao Li
2020	J	`jnl`	Multi-View Spectral Clustering With Incomplete Graphs. IEEE Access Wenzhang Zhuge, Tingjin Luo, Hong Tao, Chenping Hou, Dongyun Yi
2020	J	`jnl`	Multi-view subspace learning via bidirectional sparsity. Pattern Recognit. Ruidong Fan, Tingjin Luo, Wenzhang Zhuge, Sheng Qiang, Chenping Hou
2020	J	`jnl`	Optimal Representative Distribution Margin Machine for Multi-Instance Learning. IEEE Access Tianxiang Luan, Tingjin Luo, Wenzhang Zhuge, Chenping Hou
2019	J	`jnl`	Bi-direction hierarchical LSTM with spatial-temporal attention for action recognition. J. Intell. Fuzzy Syst. Haodong Yang, Jun Zhang, Shuohao Li, Tingjin Luo
2019	J	`jnl`	Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis. IEEE Trans. Cybern. Tingjin Luo, Chenping Hou, Feiping Nie, Dongyun Yi
2019	A	`conf`	Non-Convex Transfer Subspace Learning for Unsupervised Domain Adaptation. ICME Zhipeng Lin, Zhenyu Zhao, Tingjin Luo, Wenjing Yang, Yongjun Zhang, Yuhua Tang
2019	J	`jnl`	Rademacher dropout: An adaptive dropout for deep neural network via optimizing generalization gap. Neurocomputing Haotian Wang, Wenjing Yang, Zhenyu Zhao, Tingjin Luo, Ji Wang, Yuhua Tang
2018	J	`jnl`	Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks. IEEE Trans. Knowl. Data Eng. Weizhong Zhang, Tingjin Luo, Shuang Qiu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang
2018	J	`jnl`	Robust feature selection via simultaneous sapped norm and sparse regularizer minimization. Neurocomputing Gongmin Lan, Chenping Hou, Feiping Nie, Tingjin Luo, Dongyun Yi
2018	J	`jnl`	Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition. IEEE Trans. Knowl. Data Eng. Tingjin Luo, Chenping Hou, Feiping Nie, Hong Tao, Dongyun Yi
2017	J	`jnl`	2D Feature Selection by Sparse Matrix Regression. IEEE Trans. Image Process. Chenping Hou, Yuanyuan Jiao, Feiping Nie, Tingjin Luo, Zhi-Hua Zhou
2017	A*	`conf`	Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning. KDD Tingjin Luo, Weizhong Zhang, Shang Qiu, Yang Yang, Dongyun Yi, Guangtao Wang, Jieping Ye, Jie Wang
2017	J	`jnl`	Nonconvex One-bit Single-label Multi-label Learning. CoRR Shuang Qiu, Tingjin Luo, Jieping Ye, Ming Lin
2017	—	`conf`	Robust Self-Tuning Sparse Subspace Clustering. ICDM Workshops Guangtao Wang, Jiayu Zhou, Jingjie Ni, Tingjin Luo, Wei Long, Hai Zhen, Gao Cong, Jieping Ye
2016	J	`jnl`	Discriminative orthogonal elastic preserving projections for classification. Neurocomputing Tingjin Luo, Chenping Hou, Dongyun Yi, Jun Zhang