CV
Basics
| Name | Yiming Du |
| Label | PhD Student | Natural Language Processing |
| ymdu@link.cuhk.edu.hk | |
| Phone | (+86) 15051862878 / (+852) 54284864 |
| Url | https://elvin-yiming-du.github.io/ |
| Summary | PhD student at CUHK working on memory-augmented LLM agents, long-term memory, and reasoning in multi-session dialogues. |
Education
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2022.08 - 2026.08 Hong Kong
PhD
The Chinese University of Hong Kong
System Engineering and Engineering Management (Minor in NLP)
- Supervisor: Prof. Kam-Fai Wong (MoE Lab)
- Research focus: memory-augmented dialogue systems, long-term memory in LLM agents
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2019.08 - 2022.06 Jiangsu, China
M.Eng.
Southeast University
Computer Science & Engineering (Minor in NLP)
- Supervisor: Prof. Gao Zhiqiang (Atur Lab)
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2015.08 - 2019.05 Jiangsu, China
B.Eng.
Southeast University
Computer Science & Engineering (Minor in Software Engineering)
- Artificial Intelligence
- Machine Learning
- Algorithm Analysis and Design
- Natural Language Processing
Work
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2025.07 - Present Hong Kong
Research Intern
Huawei, Noah's Ark Lab
Mentor: Baojun Wang.
- Temporal Reasoning: developed an RL framework to improve temporal reasoning for LLM agents.
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2025.01 - 2025.06 Edinburgh, UK
Visiting Researcher
The University of Edinburgh, Informatics Forum
Supervisor: Prof. Jeff Z. Pan.
- Personal Agent: explore parametric memory and contextual memory in personal assistants.
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2024.08 - 2025.01 Shenzhen, China
Research Intern
SenseTime
Mentor: Fei Tan.
- Data Selection: explore high-quality multi-turn dialogues for SFT and RL training.
- Multi-turn Dialogue System: developed a noise-robust SFT pipeline for Edge LLMs.
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2023.08 - 2024.08 Hong Kong
Visiting Researcher
Huawei, Noah's Ark Lab
Mentor: Baojun Wang.
- Memory in LLM Dialogue System: led the creation of a memory-based LLM dialogue system with RAG framework and FAISS vector databases.
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2022.08 - Present Hong Kong
PhD Student
The Chinese University of Hong Kong, MoE Lab
Supervisor: Prof. Kam-Fai Wong.
- Memory-Augmented Agents: novel long-term memory agent with Retrieval-Augmented Generation (RAG) and Reinforcement Learning under multi-session dialogues.
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2021.08 - 2022.02 Hong Kong
Research Assistant
City University of Hong Kong, Web Mining Lab
Supervisor: Prof. Liu Xiaofan.
- Sentence Classification: developed the DPCIPI model based on DNABERT for viral gene similarity evaluation.
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2021.06 - 2021.07 London, UK
Research Experience
Imperial College London
Supervisor: Prof. Lucia Specia.
- Sentiment Classification: news headline sentiment analysis using BERT.
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2019.03 - 2022.08 Nanjing, China
Master Student
Southeast University, Atur Lab
Supervisor: Prof. Gao Zhiqiang.
- Text Generation: research on middle-representation language Pseudo-SQL to generate comparative questions.
Publications
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2026.05 MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models
arXiv:2605.14906
Ren, X., Wang, Z., Du, Y., Xie, Z., Liu, C., Yang, X., Feng, H., Pan, W., Zheng, T., Xu, B., Li, Z., Song, Y., Wong, G., See, S.
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2026 MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents
AAAI 2026 (Oral, Co-first author)
Du, Y.* (co-first), Wang, B.*, He, Y., Liang, B., Wang, B., Li, Z., Gui, L., Pan, J.Z., Xu, R., Wong, K.-F.
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2026 MEMORY-T1: Reinforcement Learning for Temporal Reasoning in Multi-Session Agents
ICLR 2026
Du, Y. (first author), Wang, B., Xiang, Y., Wang, Z., Huang, W., Xue, B., Liang, B., Zeng, X., Bai, H., Mi, F., Shang, L., Pan, J.Z., Jiang, Y., Wong, K.-F.
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2025 A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models
ACL 2025 Findings
Xue, B., Wang, H., Wang, R., Wang, S., Wang, Z., Du, Y., Wong, K.-F.
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2025 Fine-tuning after Prompting: an Explainable Way for Classification
ARR Oct 2025 (under review)
Zhao, Z.*, Zhang, S.*, Du, Y., Liang, B., Wang, B., Li, Z., Li, B., Wong, K.-F.
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2025 A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation
AAAI 2025 (Co-first author)
Wang, B.*, Du, Y.*, Liang, B., Bai, Z., Wang, B., Xu, R., Wong, K.-F.
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2025 Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions
arXiv (under review)
Du, Y.* (co-first), Huang, W.*, Zheng, D.*, Wang, Z., Montella, S., Lapata, M., Wong, K.-F., Pan, J.Z. — comprehensive survey on memory in AI.
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2025 Flexibly Utilize Memory for Long-Term Conversation via a Fragment-then-Compose Framework
EMNLP 2025 (Oral)
Ke, C., Du, Y., Liang, B., Yifan, X., Gui, L., Li, Z., Wang, B., Yu, Y., Wang, H., Wong, K.-F., Xu, R.
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2025 ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning
EMNLP 2025
Du, Y. (first author), Xiang, Y., Liang, B., Lin, D., Wong, K.-F., Tan, F.
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2024 M3SUM: A Novel Unsupervised Language-Guided Video Summarization
ICASSP 2024
Wang, H.*, Zhou, B.*, Zhang, Z., Du, Y., Ho, D., Wong, K.-F.
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2024 PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Fusion in Question Answering
ACL-SIGHAN 2024 (Best Paper)
Du, Y. (first author), Wang, H., Zhao, Z., Liang, B., Wang, B., Zhong, W., Wang, Z., Wong, K.-F.
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2023 UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation
ACL 2023
Mao, Z., Wang, H., Du, Y., Wong, K.-F.
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2023 A Survey of the Evolution of Language Model-Based Dialogue Systems
Under review
Wang, H., Wang, L., Du, Y., Chen, L., Zhou, J., Wang, Y., Wong, K.-F.
Awards
- 2018 – 2020
Excellent Scholarships
Shenzhen Stock Exchange, Southeast University, Huawei, Keyuan Automation
Skills
| Programming Languages | |
| Python | |
| Java | |
| C++ | |
| SQL | |
| HTML/CSS |
| Libraries | |
| PyTorch | |
| NumPy |
Languages
| Chinese | |
| Native |
| English | |
| Professional |
Interests
| Memory in AI | |
| Long-term & parametric memory | |
| Reinforcement Learning for LLM Agents | |
| Temporal reasoning | |
| Personalization in dialogue systems |
Projects
- 2023.01 - 2025.01
Human-like Memory Integration for Dialogue System
- Tech: Python
- 2022.10 - 2024.10
Multi-model Summarization System
- Tech: Java, Python