| 2026 | AAAI | Multi-Label Classification with Incremental and Decremental Features. | Mingdie Jiang, Quanjiang Li, Tingjin Luo, Yiping Song, Chenping Hou |
| 2026 | AAAI | DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering. | Xinyi Wang, Yiping Song, Zhiliang Tian, Bo Liu, Tingjin Luo, Minlie Huang |
| 2026 | KDD | ESTIM: Efficient and Scalable Tensorial Incomplete Multi-view Semi-supervised Classification. | Tingjin Luo, XiangYao Li, Zhangqi Jiang, Shuanghui Zhang, Dewen Hu |
| 2026 | KDD | CLASS: Deep Partial Label Feature Selection with Cluster-Guided Disambiguation and Structured Sparsity. | Tingjin Luo, Mengyuan Tong, Qingyang Shu, Yueying Liu, Hao Zhou, Zhen Wang |
| 2025 | AAAI | Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label. | Quanjiang Li, Tingjin Luo, Mingdie Jiang, Zhangqi Jiang, Chenping Hou, Feijiang Li |
| 2025 | AAAI | Core-to-Global Reasoning for Compositional Visual Question Answering. | Hao Zhou, Tingjin Luo, Zhangqi Jiang |
| 2025 | CVPR | Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens. | Zhangqi Jiang, Junkai Chen, Beier Zhu, Tingjin Luo, Yankun Shen, Xu Yang |
| 2025 | CVPR | Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels. | Quanjiang Li, Tingjin Luo, Jiahui Liao |
| 2025 | EMNLP | DCMKC: A Dual Consistency Matching Approach for Multi-hop Question Answering in LLMs. | Xinyi Wang, Yiping Song, Chang Liu, Tingjin Luo, Bo Liu, Zheng Xie, Minlie Huang |
| 2025 | ICML | Trusted Multi-View Classification with Expert Knowledge Constraints. | Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li |
| 2025 | IJCAI | One-step Label Shift Adaptation via Robust Weight Estimation. | Ruidong Fan, Xiao Ouyang, Tingjin Luo, Lijun Zhang, Chenping Hou |
| 2024 | AAAI | Deep Incomplete Multi-View Learning Network with Insufficient Label Information. | Zhangqi Jiang, Tingjin Luo, Xinyan Liang |
| 2024 | IJCAI | Core-Structures-Guided Multi-Modal Classification Neural Architecture Search. | Pinhan Fu, Xinyan Liang, Tingjin Luo, Qian Guo, Yayu Zhang, Yuhua Qian |
| 2021 | PAKDD | Multiple Instance Learning for Unilateral Data. | Xijia Tang, Tingjin Luo, Tianxiang Luan, Chenping Hou |
| 2017 | ICDM | Robust Self-Tuning Sparse Subspace Clustering. | Guangtao Wang, Jiayu Zhou, Jingjie Ni, Tingjin Luo, Wei Long, Hai Zhen, Gao Cong, Jieping Ye |
| 2017 | KDD | Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning. | Tingjin Luo, Weizhong Zhang, Shang Qiu, Yang Yang, Dongyun Yi, Guangtao Wang, Jieping Ye, Jie Wang |