About Me

I’m Jheng-Hong (Matt) Yang, a Ph.D. candidate at the renowned David R. Cheriton School of Computer Science at the University of Waterloo, where I specialize in neural ranking models, multimodal information retrieval, and both sparse and dense retrieval methods. My research is advised by Professor Jimmy Lin, contributing to innovative projects that advance the boundaries of information retrieval and data systems.

Prior to my Ph.D. journey, I was a research assistant at Academia Sinica’s Research Center for Information Technology Innovation. There, I contributed to pioneering projects within the CFDA&CLIP Labs, focusing on recommender systems and time-series modeling in credit risk analysis.

Feel free to reach out at jheng-hong.yang [at] uwaterloo [dot] ca with insights or collaboration ideas. I value all constructive feedback and am always eager to learn from diverse perspectives.

News

• 11/2024 AToMiC research paper accepted to EMNLP 2024 NLP for Wikipedia workshop
• 07/2024 Vision-LLM as Judge paper accepted to SIGIR 2024 LLM4Eval workshop
• 08/2023 Organizing TREC-AToMiC: an image–text retrieval evaluation workshop
• 05/2023 Presenting AToMiC at WikiWorkshop 2023
• 03/2023 AToMiC resource paper accepted to SIGIR 2023
• 08/2022 1 paper accepted to EMNLP 2022
• 03/2022 I started my internship/collaboration in Naver Labs Europe
• 08/2021 1 paper accepted to EMNLP 2021
• 08/2021 TCT-ColBERT paper accepted to ACL 2021 RepL4NLP workshop
• 07/2021 4 papers accepted to SIGIR 2021
• 12/2020 Multi-stage ConvIR paper accepted to ACM TOIS: Special Issue on Conversational Search and Recommendation
• 11/2020 Commonsense T5 paper accepted to COLING 2020
• 10/2020 Top-ranked submission for TREC 2020 CAsT track
• 10/2019 Top-ranked submission for TREC 2019 CAsT track
• 07/2019 Summer intern at NUS Credit Research Initiative
• 10/2018 HOP-Rec got best paper runner-up at RecSys 2018