| 2026 | AAAI | Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning. | Yanan Chen, Tieliang Gong, Yunjiao Zhang, Wen Wen |
| 2026 | AAAI | Recovering Coherent Affective Patterns: Addressing Modality Missing in Multimodal Sentiment Analysis. | Huiting Huang, Tieliang Gong, Kai He, Wen Wen, Weizhan Zhang, Mengling Feng |
| 2026 | AAAI | DynamicEarth: How Far Are We from Open-Vocabulary Change Detection? | Kaiyu Li, Xiangyong Cao, Yupeng Deng, Chao Pang, Zepeng Xin, Hui Qiao, Tieliang Gong, Deyu Meng, Zhi Wang |
| 2025 | AAAI | SpotActor: Training-Free Layout-Controlled Consistent Image Generation. | Jiahao Wang, Caixia Yan, Weizhan Zhang, Haonan Lin, Mengmeng Wang, Guang Dai, Tieliang Gong, Hao Sun, Jingdong Wang |
| 2025 | CVPR | Rectified Diffusion Guidance for Conditional Generation. | Mengfei Xia, Nan Xue, Yujun Shen, Ran Yi, Tieliang Gong, Yong-Jin Liu |
| 2025 | ICLR | Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification. | Wen Wen, Han Li, Tieliang Gong, Hong Chen |
| 2025 | ICML | Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence. | Yuxin Dong, Haoran Guo, Tieliang Gong, Wen Wen, Chen Li |
| 2025 | ICML | InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective. | Yuanhong Zhang, Muyao Yuan, Weizhan Zhang, Tieliang Gong, Wen Wen, Jiangyong Ying, Weijie Shi |
| 2025 | IJCAI | Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples. | Liyuan Liu, Hong Chen, Weifu Li, Tieliang Gong, Hao Deng, Yulong Wang |
| 2024 | CVPR | ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. | Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu |
| 2024 | ICLR | Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds. | Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li |
| 2024 | ICML | Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective. | Yuxin Dong, Tieliang Gong, Hong Chen, Zhongjiang He, Mengxiang Li, Shuangyong Song, Chen Li |
| 2024 | IJCAI | Towards Sharper Generalization Bounds for Adversarial Contrastive Learning. | Wen Wen, Han Li, Tieliang Gong, Hong Chen |
| 2024 | IJCAI | Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization. | Xuelin Zhang, Hong Chen, Bin Gu, Tieliang Gong, Feng Zheng |
| 2024 | MICCAI | PAMIL: Prototype Attention-Based Multiple Instance Learning for Whole Slide Image Classification. | Jiashuai Liu, Anyu Mao, Yi Niu, Xianli Zhang, Tieliang Gong, Chen Li, Zeyu Gao |
| 2023 | AAAI | On the Stability and Generalization of Triplet Learning. | Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng |
| 2023 | AAAI | Robust and Fast Measure of Information via Low-Rank Representation. | Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li |
| 2023 | ACL | PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition. | Yucheng Huang, Wenqiang Liu, Xianli Zhang, Jun Lang, Tieliang Gong, Chen Li |
| 2023 | ICANN | Enhancing Cross-Lingual Few-Shot Named Entity Recognition by Prompt-Guiding. | Yige Wang, Yucheng Huang, Tieliang Gong, Chen Li |
| 2023 | ICML | Tilted Sparse Additive Models. | Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao |
| 2023 | IJCAI | Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rnyi's Entropy Perspective. | Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li |
| 2022 | AAAI | Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment. | Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li |
| 2022 | AAAI | Error-Based Knockoffs Inference for Controlled Feature Selection. | Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng |
| 2022 | CIKM | Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. | Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang |
| 2022 | COLING | COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition. | Yucheng Huang, Kai He, Yige Wang, Xianli Zhang, Tieliang Gong, Rui Mao, Chen Li |
| 2020 | AAAI | Robust Gradient-Based Markov Subsampling. | Tieliang Gong, Quanhan Xi, Chen Xu |
| 2018 | AAAI | Margin Based PU Learning. | Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin |