Exploring Structural Information for Semantic Segmentation of Ultrasound Images. - Jiaxiang Geng; Yanzhao Hou; Guoshun Nan; Lishuang Ma; Jinghan Mao; Zhong Feng; Qin Liu; Chao Liu (ICCC, 2022)

Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction. - Ge Bai; Chenji Lu; Jiaxiang Geng; Shilong Li; Yidong Shi; Xiyan Liu; Ying Liu; Zhang Zhang; Ruifang Liu (EMNLP (Findings), 2023)

Hybrid Beamforming Optimization for Power Minimization in MU-MIMO Dual-Function Radar-Communication System. - Songning Gao; Jiaxiang Geng; Mingjie Chen; Yanzhao Hou; Xiaofeng Tao; Qimei Cui (ICC Workshops, 2024)

Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling. - Jiaxiang Geng; Yanzhao Hou; Xiaofeng Tao; Juncheng Wang 001; Bing Luo (ICC, 2024)

Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics. - Jiaxiang Geng; Beilong Tang; Boyan Zhang; Jiaqi Shao; Bing Luo (MobiHoc, 2024)

On the Waveform Design and Performance Enhancement of Multi- Target Detection in Dual-Function Radar-Communication System. - Songning Gao; Mingjie Chen; Jiaxiang Geng; Weichao Li 001; Yanzhao Hou; Qimei Cui; Xiaofeng Tao (WCNC, 2024)

WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling. - Huai-an Su; Jiaxiang Geng; Liang Li; Xiaoqi Qin; Yanzhao Hou; Xin Fu; Miao Pan (CoRR, 2024)

FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection. - Jiaxiang Geng; Boyu Li; Xiaoqi Qin; Yixuan Li; Liang Li; Yanzhao Hou; Miao Pan (CoRR, 2024)

REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning Over Mobile Devices. - Yixuan Li; Xiaoqi Qin; Jiaxiang Geng; Rui Chen 026; Yanzhao Hou; Yanmin Gong 001; Miao Pan; Ping Zhang 003 (IEEE Trans. Mob. Comput., 2024)

WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling. - Huai-An Su; Jiaxiang Geng; Liang Li; Xiaoqi Qin; Yanzhao Hou; Hao Wang 022; Xin Fu; Miao Pan (AAAI, 2025)

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling. - Yanzhao Hou; Jiaxiang Geng; Boyu Li; Xiaofeng Tao; Juncheng Wang 001; Xiaodong Xu 001; Bing Luo (CoRR, 2025)

Ten Challenging Problems in Federated Foundation Models. - Tao Fan 002; Hanlin Gu; Xuemei Cao 001; Chee Seng Chan; Qian Chen; Yiqiang Chen 001; Yihui Feng; Yang Gu 001; Jiaxiang Geng; Bing Luo; Shuoling Liu; WinKent Ong; et al. (IEEE Trans. Knowl. Data Eng., 2025)

Flexible Personalized Split Federated Learning for On-Device Fine-Tuning of Foundation Models. - Tianjun Yuan; Jiaxiang Geng; Pengchao Han; Xianhao Chen; Bing Luo (CoRR, 2025)