Scholar
CHANG MA
Google Scholar ID: 8OOpuiIAAAAJ
The University of Hong Kong
Citations & Impact
Citations
715
H-index
10
i10-index
11
Publications
20
Co-authors
7
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published 'Retrieved Sequence Augmentation for Protein Representation Learning' at EMNLP 2024.
- Published 'GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning' at NeurIPS 2023.
- Published 'PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding' at NeurIPS 2022 (Dataset and Benchmark Track).
- Published 'Non-myopic Generation of Language Models for Reasoning and Planning' at ICLR 2025.
- Published 'AgentBoard: An Analytical Evaluation Board of Multi-Turn LLM Agents' at NeurIPS 2024 (Dataset and Benchmark Track, Oral).
- Co-authored 'ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows' at ICML CUA Workshop 2025 (Oral).
- Contributed to the open-source platform TorchDrug, a flexible ML platform for drug discovery.
- Involved in multiple preprints including BioMaze, Genius, φ-Decoding, LearnAct, GUIMid, CISS, KS-Lottery, ArchillesBench, and SIDA.
Background
- Third-year Ph.D. student in Computer Science at The University of Hong Kong, affiliated with HKUNLP Lab.
- Research goal is to develop Autonomous, Efficient, and Trustworthy Agents, with a focus on advancing scientific discovery.
- For Autonomous Decision Making, designs generative model-powered agents to enhance foundation models’ planning capabilities for advanced research tasks.
- For Efficient Scientific Discovery, leverages NLP and agents to accelerate scientific progress, especially in drug discovery.
- For Trustworthy ML, focuses on building AI systems that are certifiably robust and provably optimal.
