Research Focus
After completing his Ph.D. at the University of Southern California (USC), he joined the National University of Singapore (NUS) as a Research Fellow — his first time living and working in Singapore. Building on his earlier work in representation learning, his research at NUS focused on dialogue-based technologies, with emphasis on dialogue summarization and embedding evaluation methods.
Worked with Prof. Haizhou Li (IEEE Fellow).
Publications
- Zero-Shot Relation Classification Through Inference on Category Attributes — IEEE TNNLS 2024
- Relational Sentence Embedding for Flexible Semantic Matching — RepL4NLP 2023
- Speech-Aware Multi-Domain Dialogue State Generation with ASR Error Correction Modules — DSTC 2023
- Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data Augmentation — arXiv 2023
- Just Rank: Rethinking Evaluation with Word and Sentence Similarities — ACL 2022
- Analyzing and Evaluating Faithfulness in Dialogue Summarization — EMNLP 2022
- Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework — EMNLP 2022
- A Focused Study on Sequence Length for Dialogue Summarization — arXiv 2022
Students Supervised
- Yan Xiao — Ph.D., Donghua University, China (2023-02 – 2024-02). Relation extraction from text. (IEEE TNNLS)
Academic Services
- Reviewer: IEEE/ACM TASLP, ACL ARR, NAACL, EMNLP, ICME
- Reviewer: Nature Human Behaviour 2022
- Session Chair: IJCNN 2021
- Organizational Volunteer: IALP 2022
- Organizational Volunteer: CLSW 2023