| 2026 | AAAI | Uncovering and Aligning Anomalous Attention Heads to Defend Against NLP Backdoor Attacks. | Haotian Jin, Yang Li, Haihui Fan, Lin Shen, Xiangfang Li, Bo Li |
| 2026 | SIGIR | Incentivizing Retrieval-Augmented Generation via Inner Adaptive Context Selection. | Chenxu Cui, Lin Shen, Haihui Fan, Sa Zhu, Feifei Dai, Bo Li |
| 2025 | CIKM | Dangerous Language Habits! Exploiting Code-Mixing for Backdoor Attacks on NLP Models. | Haotian Jin, Haihui Fan, Jinchao Zhang, Yang Li, Bo Li, Junhao Zhou |
| 2025 | CIKM | Retrieval-Augmented Image Captioning via Synthesized Entity-Aware Knowledge Representations. | Lin Shen, Chenxu Cui, Jinchao Zhang, Haihui Fan, Haotian Jin, Bo Li |
| 2025 | DASFAA | Towards Confidential and Efficient LLM Inference with Dual Privacy Protection. | Honglan Yu, Yibin Wang, Feifei Dai, Dong Liu, Haihui Fan, Xiaoyan Gu |
| 2025 | IJCNN | Teach Structure Features to Cooperate with Node Embeddings in Link Prediction. | Ziwei Li, Feifei Dai, Yucan Zhou, Haihui Fan, Xiaoyan Gu, Dan Meng |
| 2025 | INFOCOM | Learning to Optimize Resource Utilization with QoS Guarantees. | Zifan Jia, Qingsong Liu, Haihui Fan, Xiaoyan Gu, Bo Li, Weiping Wang |
| 2025 | ISCAS | High-Fidelity Object Removal through Boosting Diffusion Processes. | Hongbo Xu, Haihui Fan, Xiaoyan Gu, Wei Zhang, Wu Liu |
| 2025 | IWQoS | AoI-Constrained Scheduling for Information Freshness Over Unreliable Channels. | Zifan Jia, Haihui Fan, Xiaoyan Gu, Bo Li, Weiping Wang, Qingsong Liu |
| 2025 | NAACL | DisComp: A Two-Stage Prompt Optimization Framework Combining Task-Agnostic and Task-Aware Compression. | Quancai Liu, Haihui Fan, Jinchao Zhang, Xiangfang Li, Chuanrong Li, Bo Li |
| 2025 | SIGIR | CIRAG: Retrieval-Augmented Language Model with Collective Intelligence. | Chenxu Cui, Haihui Fan, Jinchao Zhang, Lin Shen, Bo Li, Weiping Wang |
| 2024 | ICASSP | Online Caching With Switching Cost and Operational Long-Term Constraints: An Online Learning Approach. | Zifan Jia, Qingsong Liu, Xiaoyan Gu, Haihui Fan, Feifei Dai, Bo Li, Weiping Wang |
| 2024 | ICONIP | Identifying Misaligned Features for Cross-Domain Cold-Start Recommendation. | Mingda Qian, Feifei Dai, Xiaoyan Gu, Haihui Fan, Dong Liu, Feng Tian, Bo Li |
| 2023 | CIKM | Learning Pair-Centric Representation for Link Sign Prediction with Subgraph. | Jushuo Chen, Feifei Dai, Xiaoyan Gu, Haihui Fan, Jiang Zhou, Bo Li, Weiping Wang |
| 2023 | DASFAA | Powering Fine-Tuning: Learning Compatible and Class-Sensitive Representations for Domain Adaption Few-shot Relation Extraction. | Yijun Liu, Feifei Dai, Xiaoyan Gu, Haihui Fan, Dong Liu, Bo Li, Weiping Wang |
| 2023 | ICCS | User Popularity Preference Aware Sequential Recommendation. | Mingda Qian, Feifei Dai, Xiaoyan Gu, Haihui Fan, Dong Liu, Bo Li |
| 2023 | ICONIP | Preserving Potential Neighbors for Low-Degree Nodes via Reweighting in Link Prediction. | Ziwei Li, Yucan Zhou, Haihui Fan, Xiaoyan Gu, Bo Li, Dan Meng |
| 2023 | ICONIP | Learning Discriminative Semantic and Multi-view Context for Domain Adaptive Few-Shot Relation Extraction. | Minghui Zhai, Feifei Dai, Xiaoyan Gu, Haihui Fan, Dong Liu, Bo Li |
| 2022 | PAKDD | Multi-granularity Evolution Network for Dynamic Link Prediction. | Yi Yang, Xiaoyan Gu, Haihui Fan, Bo Li, Weiping Wang |
| 2021 | ICANN | Semi-supervised Graph Edge Convolutional Network for Anomaly Detection. | Zhicheng Lun, Xiaoyan Gu, Haihui Fan, Bo Li, Weiping Wang |
| 2021 | IJCNN | RCS: An Attributed Community Search Approach Based on Representation Learning. | Yaochen Guo, Xiaoyan Gu, Zhuo Wang, Haihui Fan, Bo Li, Weiping Wang |