Variational Autoencoder for Anti-Cancer Drug Response Prediction. - Hongyuan Dong; Jiaqing Xie; Zhi Jing 003; Dexin Ren (CoRR, 2020)

Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks. - Jiaqing Xie; Rex Ying (PKDD/ECML Workshops (1), 2021)

Study on the Preparation and Test of Hydrodynamic Focusing Microfluidic Chip Fabricated by Liquid Crystal Display Mask Photo-Curing Method. - Jiaqing Xie; Xiaoyu Meng; Haoran Pang; Qian Yu; Zhikang Zhou; Fangchao Wang (IEEE Access, 2021)

Study on Design and Additive Manufacturing of Customized Bionic Sports Sole for the Elderly. - Jiaqing Xie; Zhikang Zhou; Tongyun Luo; Haoran Pang; Xiaoyu Meng; Fuyang Zhou (IEEE Access, 2021)

Graph Structure Learning via Lottery Hypothesis at Scale. - Yuxin Wang 005; Xiannian Hu; Jiaqing Xie; Zhangyue Yin; Yunhua Zhou; Xipeng Qiu; Xuanjing Huang 001 (ACML, 2023)

CADA-GAN: Context-Aware GAN with Data Augmentation. - Sofie Daniels; Jiugeng Sun; Jiaqing Xie (CoRR, 2023)

Could Chemical LLMs benefit from Message Passing. - Jiaqing Xie; Ziheng Chi (CoRR, 2024)

ReLExS: Reinforcement Learning Explanations for Stackelberg No-Regret Learners. - Xiangge Huang; Jingyuan Li; Jiaqing Xie (CoRR, 2024)

DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning. - Jiaqing Xie; Yue Zhao; Tianfan Fu (CoRR, 2024)

Benchmarking Positional Encodings for GNNs and Graph Transformers. - Florian Grötschla; Jiaqing Xie; Roger Wattenhofer (CoRR, 2024)

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 001; Linjiang Chen; Shufei Zhang; et al. (CoRR, 2025)

QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry. - Jiaqing Xie; Weida Wang; Ben Gao; Zhuo Yang; Haiyuan Wang; Shufei Zhang; Tianfan Fu; Yuqiang Li (CoRR, 2025)