I am a PhD student in National University of Singapore (NUS), supervised by Prof. Li Haizhou (李海洲) and Prof. Robby T. Tan. Prior to that, I received the Bachelor’s Degree from Southern University of Science and Technology (SUSTech) in 2020.
My research interests span the areas of natural language processing and machine learning. I am specifically interested in large language models, few-shot learning and representation learning. I am also interested in their applications to conversational AI.
🏫 Education
- 2020.08 - Present, Ph.D. in Electrical and Computer Engineering, National University of Singapore, Singapore.
- 2016.09 - 2020.06, B.Eng. in Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
📝 Publications
- Simin Chen, Yiming Chen, Zexin Li, Yifan Jiang, Zhongwei Wan, Yixin He, Dezhi Ran, Tianle Gu, Haizhou Li, Tao Xie, Baishakhi Ray, Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation, EMNLP, 2025.
- Xiaoxue Gao, Yiming Chen, Xianghu Yue, Yu Tsao, Nancy F. Chen, TTSlow: Slow Down Text-to-Speech with Efficiency Robustness Evaluations, TASLP, 2025.
- Xiaoxue Gao, Chen Zhang, Yiming Chen, Huayun Zhang, Nancy F. Chen, Emo-DPO: Controllable Emotional Speech Synthesis through Direct Preference Optimization, ICASSP, 2025.
- Yiming Chen, Xianghu Yue, Xiaoxue Gao, Chen Zhang, Luis Fernando D’Haro, Robby T. Tan, Haizhou Li, Beyond Single-Audio: Advancing Multi-Audio Processing in Audio Large Language Models, EMNLP Findings, 2024. [Code]
- Xianghu Yue, Xueyi Zhang, Yiming Chen, Chengwei Zhang, Mingrui Lao, Huiping Zhuang, Xinyuan Qian, Haizhou Li, MMAL: Multi-Modal Analytic Learning for Exemplar-Free Audio-Visual Class Incremental Tasks, MM, 2024.
- Xiaoxue Gao, Zexin Li, Yiming Chen, Cong Liu, Haizhou Li, Transferable Adversarial Attacks against ASR, SPL, 2024.
- Yiming Chen, Chen Zhang, Danqing Luo, Luis Fernando D’Haro, Robby T. Tan, Haizhou Li, Unveiling the Achilles’ Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models, ACL Findings, 2024. [Code]
- Chen Zhang, Luis Fernando D’Haro, Yiming Chen, Malu Zhang, Haizhou Li, A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators, AAAI, 2024. [Code]
- Yiming Chen, Simin Chen, Zexin Li, Wei Yang, Cong Liu, Robby T. Tan, Haizhou Li, Dynamic Transformers Provide a False Sense of Efficiency, ACL, 2023. [Code]
- Yiming Chen, Yan Zhang, Bin Wang, Zuozhu Liu, Haizhou Li, Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework, EMNLP, 2022. [Code]
- Bin Wang, Chen Zhang, Yan Zhang, Yiming Chen, Haizhou Li, Analyzing and Evaluating Faithfulness in Dialogue Summarization, EMNLP, 2022. [Code]
- Chen Zhang, Luis Fernando D’Haro, Yiming Chen, Thomas Friedrichs, Haizhou Li, Investigating the Impact of Pre-trained Language Models on Dialog Evaluation, IWSDS, Best paper, 2021.
- Yiming Chen, Yan Zhang, Chen Zhang, Grandee Lee, Ran Cheng, Haizhou Li, Revisiting Self-Training for Few-Shot Learning of Language Model, EMNLP, 2021. [Code]
- Chen Zhang, Yiming Chen, Luis Fernando D’Haro, Yan Zhang, Thomas Friedrichs, Grandee Lee, Haizhou Li, DynaEval: Unifying Turn and Dialogue Level Evaluation, ACL, 2021. [Code]
Ⓜ️ Others
Reviewer
- Reviewer of ACL, EMNLP, NAACL, EACL, ICLR
- Area Chair of ARR
Teaching
- Microcontroller Programming and Interfacing, Teaching Assistant, NUS undergraduate course.
- Visual Computing, Teaching Assistant, NUS graduate course.