Jiaqing Xie
Scholar

Jiaqing Xie

Google Scholar ID: Tfg7A2AAAAAJ
ETH Zurich, Shanghai Artificial Intelligence Laboratory
AI for ScienceGenerative ModelsLarge Language Models
Citations & Impact
All-time
Citations
16
 
H-index
2
 
i10-index
0
 
Publications
10
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • [{'Title': 'MolSpectLLM: A Molecular Foundation Model Bridging Spectroscopy, Molecule Elucidation, and 3D Structure Generation', 'Authors': 'Shuaike Shen‡, Jiaqing Xie‡, Zhuo Yang, Antong Zhang, Shuzhou Sun, Ben Gao, Tianfan Fu, Biqing Qi, Yuqiang Li', 'Status': 'Under Review, Arxiv', 'Links': 'Paper, Code'}, {'Title': 'A Comparative Analysis of Sparse Autoencoder and Activation Difference in Language Model Steering', 'Authors': 'Jiaqing Xie', 'Status': 'Under Review, Arxiv', 'Links': 'Paper, Code'}, {'Title': 'Deep Research Arena: The First Exam of LLMs’ Research Abilities via Seminar-Grounded Tasks', 'Authors': 'Haiyuan Wan, Chen Yang, Junchi Yu, Meiqi Tu, Jiaxuan Lu, Di Yu, Jianbao Cao, Ben Gao, Jiaqing Xie, Aoran Wang, Wenlong Zhang, Philip Torr, Dongzhan Zhou', 'Status': 'Under Review, Arxiv', 'Links': 'Paper, Code'}, {'Title': 'SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy', 'Authors': 'Zhuo Yang‡, Jiaqing Xie‡, Shuaike Shen, Daolang Wang, Yeyun Chen, Ben Gao, Shuzhou Sun, Biqing Qi, Dongzhan Zhou, Lei Bai, Linjiang Chen, Shufei Zhang, Jun Jiang, Tianfan Fu, and Yuqiang Li', 'Status': 'Under Review, Arxiv', 'Links': 'Paper, Code'}, {'Title': 'QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry', 'Authors': 'Jiaqing Xie‡, Weida Wang‡, Ben Gao‡, Zhuo Yang, Haiyuan Wan, Shufei Zhang, Tianfan Fu, and Yuqiang Li', 'Status': 'Journal of Chemical Information and Modeling, 2025', 'Links': 'Paper, Code'}, {'Title': 'Re-Evaluating Positional Encodings for GNNs', 'Authors': 'Florian Grotschla‡, Jiaqing Xie‡, and Roger Wattenhofer', 'Status': 'Under Review, Arxiv', 'Links': 'Paper, Code'}, {'Title': 'DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning', 'Authors': 'Jiaqing Xie, Yuqiang Li and Tianfan Fu', 'Status': 'Bioinformatics btaf165, Oxford University Press, 2025', 'Links': 'Paper, Code'}]
Background
  • Research Interests: AI for Chemistry, Protein Design, and Quantum Physics. Bio: Graduated from ETH Zurich in May 2025, currently an AI4Science Research Assistant at Shanghai AI Lab, actively seeking PhD positions for Fall 2026.
Miscellany
  • Personal interests and hobbies not provided