Skip to main navigation Skip to search Skip to main content
No photo of Chong Zhang
20232026

Research activity per year

Personal profile

Personal profile

Chong Zhang is currently pursuing a PhD at the Xi'an Jiaotong-Liverpool University & University of Liverpool, with research interests in Agent Simulation, LLM Safety, Explainability for LLM, and Recommender systems. He has delivered presentations at prestigious conferences, including EMNLP, ICDM, ECAI, ICME and PRCV, and actively contributes to the academic community as a reviewer for renowned journals and conferences.

Research interests

At present, my research area mainly focuses on:

1.  Ultra-large-scale concurrent simulation of LLM-driven agents 

3.  Large Language Model Safety

3.  Robustness of recommender systems

4.  Large Language Model Explainability

Interested researchers are welcome to contact me and are sincerely invited to in-depth cooperation.

Experience

Academic Services:

  • Conference reviewing: ICML 25, ICLR 25, ARR(25 Feb, May, July, Oct. 26 Jan)ACM MM 25, WWW 25, ICME 26.
  • Journal reviewing: IEEE TNNLS, TETCI, TITS. ACM TIST. IJCV.  Pattern Recognition. Research policy.
  • Academic talk: 
    Adversarial Attacks on LLMs and Robustness: Distribution-Oriented and Scenario-Oriented Perspectives  - ECNU 2025
  • NSF Application Assistance:25, 26

Person Types

  • Students

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities
  4. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Fingerprint

Dive into the research topics where Chong Zhang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or