Hello! I am Jiaqing Xie(謝嘉慶). I was graduated in May 2025 at ETH Zurich (CS Rank@4). I am now a AI4Science Research Assistant at Shanghai AI Lab. I am now actively seeking PhD positions in Fall 2026!
My research interests are (1) AI for Physical Sciences; (2) Generative Models such as Flow Matching, Diffusion Models, and Autoencoders; (3) Graph Neural Networks and Graph Transformers
News:
Most recent publications on Google Scholar.
‡ indicates equal contribution.
PolyReal: A Benchmark for Real-World Polymer Science Workflows
Wanhao Liu‡, Weida Wang‡, Jiaqing Xie, Suorong Yang, Jue Wang, Benteng Chen, Guangtao Mei, Zonglin Yang, Shufei Zhang, Yuchun Mo, Lang Cheng, Jin Zeng, Houqiang Li, Wanli Ouyang, Yuqiang Li
Under Review, Arxiv
R2-Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection
Shuaike Shen‡, Ke Liu‡, Jiaqing Xie, Shangde Gao, Chunhua Shen, Ge Liu, Mireia Crispin-Ortuzar, Shangqi Gao
Under Review, Arxiv
MolSpectLLM: A Molecular Foundation Model Bridging Spectroscopy, Molecule Elucidation, and 3D Structure Generation
Shuaike Shen‡, Jiaqing Xie‡, Zhuo Yang, Antong Zhang, Shuzhou Sun, Ben Gao, Tianfan Fu, Biqing Qi, Yuqiang Li
Under Review, Arxiv
SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy
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
Under Review, Arxiv
Benchmarking Positional Encodings for GNNs and Graph Transformers
Florian Grotschla‡, Jiaqing Xie‡ and Roger Wattenhofer
KDD 2026
QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry
Jiaqing Xie‡, Weida Wang‡, Ben Gao‡, Zhuo Yang, Haiyuan Wan, Shufei Zhang, Tianfan Fu, and Yuqiang Li
JCIM 2025
Deep Research Arena: The First Exam of LLMs’ Research Abilities via Seminar-Grounded Tasks
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
AAAI 2026
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
Jiaqing Xie, Yuqiang Li and Tianfan Fu
Bioinformatics 2025
PolyReal: A Benchmark for Real-World Polymer Science Workflows
Wanhao Liu‡, Weida Wang‡, Jiaqing Xie, Suorong Yang, Jue Wang, Benteng Chen, Guangtao Mei, Zonglin Yang, Shufei Zhang, Yuchun Mo, Lang Cheng, Jin Zeng, Houqiang Li, Wanli Ouyang, Yuqiang Li
Under Review, Arxiv
R2-Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection
Shuaike Shen‡, Ke Liu‡, Jiaqing Xie, Shangde Gao, Chunhua Shen, Ge Liu, Mireia Crispin-Ortuzar, Shangqi Gao
Under Review, Arxiv
MolSpectLLM: A Molecular Foundation Model Bridging Spectroscopy, Molecule Elucidation, and 3D Structure Generation
Shuaike Shen‡, Jiaqing Xie‡, Zhuo Yang, Antong Zhang, Shuzhou Sun, Ben Gao, Tianfan Fu, Biqing Qi, Yuqiang Li
Under Review, Arxiv
SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy
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
Under Review, Arxiv
Benchmarking Positional Encodings for GNNs and Graph Transformers
Florian Grotschla‡, Jiaqing Xie‡ and Roger Wattenhofer
KDD 2026
QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry
Jiaqing Xie‡, Weida Wang‡, Ben Gao‡, Zhuo Yang, Haiyuan Wan, Shufei Zhang, Tianfan Fu, and Yuqiang Li
JCIM 2025
Deep Research Arena: The First Exam of LLMs’ Research Abilities via Seminar-Grounded Tasks
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
AAAI 2026
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
Jiaqing Xie, Yuqiang Li and Tianfan Fu
Bioinformatics 2025