| 2026 | AAAI | MirrorShield: Towards Dynamic Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting. | Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang |
| 2026 | AAAI | Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS. | Bingyu Yan, Xiaoming Zhang, Ziyi Zhou, Chaozhuo Li, Ruilin Zeng, Yirui Qi, Tianbo Wang, Litian Zhang |
| 2026 | ACL | Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning. | Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang |
| 2026 | ACL | Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MAS. | Bingyu Yan, Xiaoming Zhang, Jinyu Hou, Chaozhuo Li, Ziyi Zhou, Yiming Hei, Litian Zhang |
| 2025 | AAAI | Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers. | Hui Pang, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang |
| 2025 | AAAI | MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning. | Liwen Zheng, Chaozhuo Li, Litian Zhang, Haoran Jia, Senzhang Wang, Zheng Liu, Xi Zhang |
| 2025 | AAAI | Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection. | Ziyi Zhou, Xiaoming Zhang, Shenghan Tan, Litian Zhang, Chaozhuo Li |
| 2025 | AAAI | Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training. | Wenting Zhu, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang |
| 2025 | CIKM | LLMCBR: Large Language Model-based Multi-View and Multi-Grained Learning for Bundle Recommendation. | Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu |
| 2025 | CIKM | Reverse Chain-of-Thought and Causal Path Verification: A Modular Plugin for Aligning LLMs with Knowledge Graphs. | Dezhuang Miao, Yibin Du, Xiang Li, Xiaoming Zhang, Jiahe Li, Bo Zhang, Bingyu Yan, Lian Zhang, Litian Zhang |
| 2025 | EMNLP | DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models. | Rui Ha, Chaozhuo Li, Rui Pu, Litian Zhang, Xi Zhang, Sen Su |
| 2025 | EMNLP | LlmFixer: Fix the Helpfulness of Defensive Large Language Models. | Zelong Yu, Xiaoming Zhang, Litian Zhang, Yu Yuan, Chaozhuo Li |
| 2025 | IJCAI | Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction. | Chaozhuo Li, Zhihao Tang, Mingji Zhang, Zhiquan Liu, Litian Zhang, Xi Zhang |
| 2025 | IJCAI | Diffusion Guided Propagation Augmentation for Popularity Prediction. | Chaozhuo Li, Tianqi Yang, Litian Zhang, Xi Zhang |
| 2025 | IJCAI | Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling. | Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Zaisheng Ye |
| 2025 | WWW | ModalSync: Synchronizing User Behavior with Multimodal Features for Multimodal Pre-training Recommendation. | Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu |
| 2024 | AAAI | Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection. | Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Feiran Huang, Chaozhuo Li |
| 2024 | COLING | MDS: A Fine-Grained Dataset for Multi-Modal Dialogue Summarization. | Zhipeng Liu, Xiaoming Zhang, Litian Zhang, Zelong Yu |
| 2024 | EMNLP | BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting. | Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang |
| 2023 | SDM | CISum: Learning Cross-modality Interaction to Enhance Multimodal Semantic Coverage for Multimodal Summarization. | Litian Zhang, Xiaoming Zhang, Ziming Guo, Zhipeng Liu |
| 2022 | AAAI | Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization. | Litian Zhang, Xiaoming Zhang, Junshu Pan |