BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture. - Nanyang Ye 001; Jingbiao Mei; Zhicheng Fang; Yuwen Zhang; Ziqing Zhang; Huaying Wu; Xiaoyao Liang (DAC, 2021)

Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering. - Weizhe Lin; Jinghong Chen; Jingbiao Mei; Alexandru Coca; Bill Byrne (NeurIPS, 2023)

Improving hateful memes detection via learning hatefulness-aware embedding space through retrieval-guided contrastive learning. - Jingbiao Mei; Jinghong Chen; Weizhe Lin; Bill Byrne; Marcus Tomalin (CoRR, 2023)

PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. - Weizhe Lin; Jingbiao Mei; Jinghong Chen; Bill Byrne (ACL (1), 2024)

Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning. - Jingbiao Mei; Jinghong Chen; Weizhe Lin; Bill Byrne; Marcus Tomalin (ACL (1), 2024)

Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata. - Jinghong Chen; Weizhe Lin; Jingbiao Mei; Bill Byrne (NAACL (Short Papers), 2024)

On Extending Direct Preference Optimization to Accommodate Ties. - Jinghong Chen; Guangyu Yang; Weizhe Lin; Jingbiao Mei; Bill Byrne (CoRR, 2024)

Improved Fine-Tuning of Large Multimodal Models for Hateful Meme Detection. - Jingbiao Mei; Jinghong Chen; Guangyu Yang; Weizhe Lin; Bill Byrne (CoRR, 2025)