Hi, I am Howard (Jingbiao) Mei, currently a third year PhD student at Machine Inteligence Lab, University of Cambridge. My interests are Deep Learning and its various applications.
My current research is on multimodal large language models and retrieval systems.
Here is some of my latest work:
- BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture. 2021 58th ACM/IEEE Design Automation Conference link
- Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering. NeurIPS2023 link
- Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning. ACL2024 Main link
- PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. ACL2024 Main Link
- Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata. NAACL link 2024 Main
- On Extending Direct Preference Optimization to Accommodate Ties link
Here is a copy of my CV to download.
