About Me

I’m Jheng-Hong (Matt) Yang, a Ph.D. student at the prestigious David R. Cheriton School of Computer Science, University of Waterloo. My research revolves around cutting-edge topics such as neural ranking models, sparse & dense retrieval models, and multimodal information retrieval, all under the expert guidance of Professor Jimmy Lin.

Before embarking on my Ph.D. journey, I had the incredible opportunity to work as a research assistant at the Research Center for Information Technology Innovation at Academia Sinica. During my time there, I contributed to significant projects in the Computational Finance and Data Analytics and Computational Linguistics and Information Processing (CFDA & CLIP) Labs, focusing on the development of music recommender systems and time-series modeling for credit analysis.

If you’d like to connect with me or have any insights to share, don’t hesitate to reach out through my email: jheng-hong.yang [at] uwaterloo [dot] ca. I value any valuable feedback, whether positive or constructive, and I am genuinely grateful for the opportunity to learn and grow.

News

• 08/2023 Organizing TREC-AToMiC: an image–text retrieval evaluation workshop
• 05/2023 Presenting AToMiC at WikiWorkshop 2023
• 03/2023 2 papers accepted to SIGIR 2023 AToMiC
• 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 is accepted to RepL4NLP workshop at ACL 2021
• 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 submission for TREC 2020 CAsT track
• 10/2019 Top 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