Understanding Performance Differences of FPGAs and GPUs. - Jason Cong; Zhenman Fang; Michael Lo; Hanrui Wang 002; Jingxian Xu; Shaochong Zhang (FCCM, 2018)

Understanding Performance Differences of FPGAs and GPUs: (Abtract Only). - Jason Cong; Zhenman Fang; Michael Lo; Hanrui Wang 002; Jingxian Xu; Shaochong Zhang (FPGA, 2018)

Diffusion Utility Increment Based Crowdsensing Data Transmission Model over City Public Traffic System. - Zhenlong Peng; Jian An; Xiaolin Gui; Tianjie Wu; Jingxian Xu (ICCCN, 2018)

Research and Analysis of Collaborative Development of Logistics and E-Commerce. - Jingxian Xu; Jianhong Guo; Chun Lan Ren (ICIEB, 2018)

Location Correlated Differential Privacy Protection Based on Mobile Feature Analysis. - Zhenlong Peng; Jian An; Xiaolin Gui; Zhenxing Wang; Wendong Zhang; Ruowei Gui; Jingxian Xu (IEEE Access, 2019)

Label Representations in Modeling Classification as Text Generation. - Xinyi Chen; Jingxian Xu; Alex Wang (AACL/IJCNLP (Student Research Workshop), 2020)

Research on 3D Reverse Technology Based on Monocular Image Sequence. - Yangfan Chen; Jingxian Xu; Wenhan Feng; Hao Yuan; Hengzhi Gu; Yi Han 004 (ICAIIS, 2021)

Algorithm of Filling Region Generation Based on Implicit Surface in Complex Surface. - Jingxian Xu; Yangfan Chen; Hao Yuan; Hengzhi Gu; Zhen Xu; Yi Han 004 (ICAIIS, 2021)

HFedPFS: Heterogeneous Federated Learning with Personalized Data Feature Sharing. - Jingxian Xu; Liping Yi; Gang Wang; Xiaoguang Liu (ICASSP, 2025)

TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers' Guidance. - Jingxian Xu; Mengyu Zhou; Weichang Liu; Hanbing Liu; Shi Han; Dongmei Zhang 001 (CoRR, 2025)

Fortune: Formula-Driven Reinforcement Learning for Symbolic Table Reasoning in Language Models. - Lang Cao; Jingxian Xu; Hanbing Liu; Jinyu Wang; Mengyu Zhou; Haoyu Dong 001; Shi Han; Dongmei Zhang 001 (CoRR, 2025)

UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound. - Junxuan Yu; Yaofei Duan; Yuhao Huang 001; Yuchen Wang; Rongbo Ling; Weihao Luo; Ang Zhang; Jingxian Xu; Qiongying Ni; Yongsong Zhou; Binghan Li; Haoran Dou; et al. (CoRR, 2025)

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound. - Huanwen Liang; Jingxian Xu; Yuanji Zhang; Yuhao Huang 001; Yuhan Zhang; Xin Yang 009; Ran Li; Xuedong Deng; Yanjun Liu; Guowei Tao; Yun Wu; Sheng Zhao; et al. (CoRR, 2025)