An Analytical Model for Broadcasting by Self Pruning in Wireless Ad Hoc Networks. - Yu Huang 002; Bo Liu 049; XianPing Tao; Jiannong Cao 001; Beihong Jin (EUC (2), 2008)

Medical Visual Question Answering via Conditional Reasoning. - Li-Ming Zhan; Bo Liu 049; Lu Fan; Jiaxin Chen; Xiao-Ming Wu 003 (ACM Multimedia, 2020)

Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training. - Li-Ming Zhan; Haowen Liang; Bo Liu 049; Lu Fan; Xiao-Ming Wu 003; Albert Y. S. Lam (ACL/IJCNLP (1), 2021)

Slake: A Semantically-Labeled Knowledge-Enhanced Dataset For Medical Visual Question Answering. - Bo Liu 049; Li-Ming Zhan; Li Xu; Lin Ma; Yan Yang; Xiao-Ming Wu 003 (ISBI, 2021)

Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images. - Bo Liu 049; Li-Ming Zhan; Xiao-Ming Wu 003 (MICCAI (2), 2021)

Joint Computation Partitioning and Resource Allocation for Latency Sensitive Applications in Mobile Edge Clouds. - Lei Yang 024; Bo Liu 049; Jiannong Cao 001; Yuvraj Sahni; Zhenyu Wang 001 (IEEE Trans. Serv. Comput., 2021)

Modeling User Behavior with Graph Convolution for Personalized Product Search. - Lu Fan; Qimai Li; Bo Liu 049; Xiao-Ming Wu 003; Xiaotong Zhang 003; Fuyu Lv; Guli Lin; Sen Li 001; Taiwei Jin; Keping Yang (WWW, 2022)

Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models. - Li Xu; Bo Liu 049; Ameer Hamza Khan; Lu Fan; Xiao-Ming Wu 003 (CHIL, 2023)

Towards LLM-driven Dialogue State Tracking. - Yujie Feng; Zexin Lu; Bo Liu 049; Liming Zhan; Xiao-Ming Wu 003 (EMNLP, 2023)

Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark. - Li Xu; Bo Liu 049; Ameer Hamza Khan; Lu Fan; Xiao-Ming Wu 003 (CoRR, 2023)

How Good Are Large Language Models at Out-of-Distribution Detection? - Bo Liu 049; Liming Zhan; Zexin Lu; Yujie Feng; Lei Xue 001; Xiao-Ming Wu 003 (CoRR, 2023)

Making Multimodal Generation Easier: When Diffusion Models Meet LLMs. - Xiangyu Zhao; Bo Liu 049; Qijiong Liu; Guangyuan Shi; Xiao-Ming Wu 003 (CoRR, 2023)

Medical Visual Question Answering via Conditional Reasoning and Contrastive Learning. - Bo Liu 049; Li-Ming Zhan; Li Xu; Xiao-Ming Wu 003 (IEEE Trans. Medical Imaging, 2023)

Continual Dialogue State Tracking via Reason-of-Select Distillation. - Yujie Feng; Bo Liu 049; Xiaoyu Dong; Zexin Lu; Li-Ming Zhan; Xiao-Ming Wu 003; Albert Y. S. Lam (ACL (Findings), 2024)

TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation. - Yujie Feng; Xu Chu; Yongxin Xu; Guangyuan Shi; Bo Liu 049; Xiao-Ming Wu 003 (ACL (1), 2024)

EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs. - Xiangyu Zhao; Bo Liu 049; Qijiong Liu; Guangyuan Shi; Xiao-Ming Wu 003 (ACL (1), 2024)

How Good Are LLMs at Out-of-Distribution Detection? - Bo Liu 049; Li-Ming Zhan; Zexin Lu; Yujie Feng; Lei Xue 001; Xiao-Ming Wu 003 (LREC/COLING, 2024)

TaSL: Task Skill Localization and Consolidation for Language Model Continual Learning. - Yujie Feng; Xu Chu; Yongxin Xu; Zexin Lu; Bo Liu 049; Philip S. Yu; Xiao-Ming Wu 003 (CoRR, 2024)

Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection. - Bo Liu 049; Liming Zhan; Yujie Feng; Zexin Lu; Chengqiang Xie; Lei Xue 001; Albert Y. S. Lam; Xiao-Ming Wu 003 (CoRR, 2024)

GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis. - Bo Liu 049; Ke Zou; Liming Zhan; Zexin Lu; Xiaoyu Dong; Yidi Chen; Chengqiang Xie; Jiannong Cao 001; Xiao-Ming Wu 003; Huazhu Fu (CoRR, 2024)

DEAL: Disentangling Transformer Head Activations for LLM Steering. - Li-Ming Zhan; Bo Liu 049; Zexin Lu; Chengqiang Xie; Jiannong Cao 001; Xiao-Ming Wu 003 (CoRR, 2025)