Towards Sharper Generalization Bounds for Adversarial Contrastive Learning. - Wen Wen 013; Han Li; Tieliang Gong; Hong Chen 004 (IJCAI, 2024)

Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification. - Wen Wen 013; Han Li; Tieliang Gong; Hong Chen 004 (ICLR, 2025)

Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence. - Yuxin Dong 003; Haoran Guo; Tieliang Gong; Wen Wen 013; Chen Li 011 (ICML, 2025)

InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective. - Yuanhong Zhang; Muyao Yuan; Weizhan Zhang; Tieliang Gong; Wen Wen 013; Jiangyong Ying; Weijie Shi (ICML, 2025)

Towards the Generalization of Multi-view Learning: An Information-theoretical Analysis. - Wen Wen 013; Tieliang Gong; Yuxin Dong 003; Shujian Yu; Weizhan Zhang (CoRR, 2025)

Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning. - Yanan Chen; Tieliang Gong; Yunjiao Zhang; Wen Wen 013 (AAAI, 2026)

Recovering Coherent Affective Patterns: Addressing Modality Missing in Multimodal Sentiment Analysis. - Huiting Huang; Tieliang Gong; Kai He 001; Wen Wen 013; Weizhan Zhang; Mengling Feng (AAAI, 2026)

Towards the generalization of multi-view learning: An information-theoretical analysis. - Wen Wen 013; Tieliang Gong; Yuxin Dong 003; Shujian Yu; Bo Dong 001 (Inf. Fusion, 2026)

Nyström-aware approximations for matrix-based Rényi's entropy. - Tieliang Gong; Wen Wen 013; Yuxin Dong 003; Zeyu Gao 001; Weizhan Zhang (Neural Networks, 2026)