Students

Interns at MSRA

• 2024.09 – present, Jio Oh, master @ KAIST, South Korea.
  • Topics: LLM.
  • Outcomes: ERBench (NeurIPS’24 spotlight)
• 2024.09 – present, Soyeon Kim, PhD @ KAIST, South Korea.
  • Topics: LLM evaluation.
  • Outcomes: ERBench (NeurIPS’24 spotlight)
• 2024.09 – present, Miaomiao Li, master @ Institute of Software, CAS.
• 2024.05 – present, Shudong Liu, PhD @ U. Macao.

Alumni:

• 2023.08 – 2024.06, Qinlin Zhao, MSRA-USTC joint Ph.D student (co-mentored with Xing Xie).
  • Topics: agent and social science.
  • Outcomes during internship: CompeteAI (ICML’24 oral), PromptBench (JMLR’24)
• 2023.09 – 2024.05, Cheng Li, master @ Institute of Software, CAS.
  • Topics: LLM and psychology, culture bias
  • Ourcomes during internship: EmotionPrompt (ICML’24), NegativePrompt (IJCAI’24), CultureLLM (NeurIPS’24), CulturePark (NeurIPS’24), MentalArena
• 2023.03 – 2024.04, Kaijie Zhu, master @ Institute of Automation, CAS. Now: Phd @ UCSB.
  • Topics: LLM evaluation
  • Outcomes during internship: DyVal 2 (ICML’24), DyVal (ICLR’24 spotlight), Adversarial robustness (ICCV’23), PromptBench, Project SearchAnything.
• 2023.05 – 2023.10, Hao Chen, PhD @ Carnegie Mellon University. Now: continues his Ph.D.
  • Topics: robustness of foundation models.
  • Outcomes during internship: Noisy model learning (ICLR’24 spotlight), Weakly supervised learning (ICML’24), PromptBench
• 2023.06 – 2023.09, Yachuan Liu, PhD @ University of Michigan, Ann Arbor.
  • Topics: evaluation of large language models
  • Outcomes during internship: Meta semantic evaluation of LLMs
• 2022.10 – 2023.03, Xixu Hu, Ph.D @ City University of Hong Kong. Now: faculty at CityU.
  • Topics: adversarial machine learning.
  • outcomes during internship: SpecFormer (ECCV’24), IEEE Data Engineering Bulletin, ICLR’23 workshop.
• 2022.07 – 2023.03, Runkai Zheng, Master @ Chinese University of Hong Kong (Shenzhen).
  • Topics: adversarial machine learning.
• 2021.11 – 2022.10, Yidong Wang, Master @ Tokyo Institute of Technology. Now: Ph.D in PKU. [MSRA official blog]
  • Topics: semi-supervised learning, long-tail learning.
  • Publications during internship: ICLR’23, NeurIPS’22, ACML’22, COLING’22. Excellent master student at TokyoTech.
• 2021.06 – 2021.11, Wang Lu, Ph.D @ ICT, Chinese Academy of Sciences. Now: Tsinghua University.
  • Topics: domain generalization, federated learning, transfer learning.
  • Publications during internship: ICLR’23, TKDE’22, TMLR’22, Ubicomp’22, IEEE TBD’22, ICASSP’22, IJCAI’22 workshop. National scholarship.
• 2020.12 – 2021.05, Wenxin Hou, Master @ Tokyo Institute of Technology. Now: SDE at Microsoft.
  • Topics: speech recognition, semi-supervised learning.
  • Publications during internship: NeurIPS’21, TASLP’22, Interspeech’21.
• 2020.05 – 2020.09, Yuntao Du, Ph.D @ Nanjing University. Now: BigAI.
  • Topics: domain adaptation, time series analysis.
  • Publications during internship: CIKM’21 (Paperdigest most influential papers).
• 2019.10 – 2020.01, Weixin Lu, Bachelor @ Peking University. Now: Ph.D @ New York University.
  • Topics: transfer learning, time series analysis, fintech.

Collaborating students

• Ph.D student at Georgia Institute of Technology: Yiqiao Jin. AgentReview
• Ph.D students at ICT, CAS:
  • Xin Qin (Ubicomp, KDD, national scholarship). Now: assistant professor at ICT, CAS.
  • Yuxin Zhang (TKDE * 2). Now: engineer at StateGrid.
• Ph.D student at Institute of Acoustics, CAS: Han Zhu (ICASSP * 2, TASLP).
• Master/Ph.D students at Institute of Automation, CAS: YiFan Zhang (KDD’23).
• Ph.D student at University of Tokyo: Yivan Zhang, Wei Wang.