Multiplex confounding factor correction for genomic association mapping with squared sparse linear mixed model. - Haohan Wang; Xiang Liu 017; Yunpeng Xiao 001; Ming Xu 008; Eric P. Xing (BIBM, 2017)

A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction. - Wenting Ye; Xiang Liu 017; Haohan Wang; Eric P. Xing (CoRR, 2017)

Jersey Number Recognition With Semi-Supervised Spatial Transformer Network. - Gen Li; Shikun Xu; Xiang Liu 017; Lei Li 005; Changhu Wang (CVPR Workshops, 2018)

Latency-Optimal Task Offloading for Mobile-Edge Computing System in 5G Heterogeneous Networks. - Guoxuan Chi; Yumei Wang; Xiang Liu 017; Yiming Qiu (VTC Spring, 2018)

Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning. - Haohan Wang; Xiang Liu 017; Yifeng Tao; Wenting Ye; Qiao Jin 001; William W. Cohen; Eric P. Xing (PSB, 2019)

FedLPA: Personalized One-shot Federated Learning with Layer-Wise Posterior Aggregation. - Xiang Liu 017; Liangxi Liu; Feiyang Ye 004; Yunheng Shen; Xia Li 005; Linshan Jiang; Jialin Li 001 (CoRR, 2023)

High Performance Computing Framework for Variable Selection on Genome-wide Association Studies. - Xiang Liu 017; Xueling Liu; Jing Diao; Mengyao Zheng; Jihe Li; Dehui Wei; Qipeng Xie; Xia Li 005; Linshan Jiang (BIBM, 2024)

Novel Truncated-rank Graph-structured and Tree-guided Sparse Linear Mixed Models for Variable Selection on Genome-wide Association Studies. - Xiang Liu 017; Xueling Liu; Jing Diao; Mengyao Zheng; Jihe Li; Yongyi Xie; Kang Lai; Xiao Geng; Yijun Song; Linshan Jiang (BIBM, 2024)

FusionFrame: A Fusion Dataflow Scheduling Framework for DNN Accelerators via Analytical Modeling. - Liutao Zheng; Huiying Lan; Xiang Liu 017; Linshan Jiang; Xuehai Zhou (ICA3PP (6), 2024)

FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation. - Xiang Liu 017; Liangxi Liu; Feiyang Ye 004; Yunheng Shen; Xia Li 005; Linshan Jiang; Jialin Li 001 (NeurIPS, 2024)

Sparse Variable Selection on High Dimensional Heterogeneous Data With Tree Structured Responses. - Hui Liu; Xiang Liu 017; Jing Diao; Wenting Ye; Xueling Liu; Dehui Wei (IEEE Access, 2024)

ED-ViT: Splitting Vision Transformer for Distributed Inference on Edge Devices. - Xiang Liu 017; Yijun Song; Xia Li 005; Yifei Sun; Huiying Lan; Zemin Liu; Linshan Jiang; Jialin Li 001 (CoRR, 2024)

SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation. - Leigang Qu; Haochuan Li; Wenjie Wang 007; Xiang Liu 017; Juncheng Li 006; Liqiang Nie; Tat-Seng Chua (CVPR, 2025)

One-shot Federated Learning Methods: A Practical Guide. - Xiang Liu 017; Zhenheng Tang; Xia Li 005; Yijun Song; Sijie Ji; Zemin Liu; Bo Han 003; Linshan Jiang; Jialin Li 001 (CoRR, 2025)

Automatic Pruning via Structured Lasso with Class-wise Information. - Xiang Liu 017; Mingchen Li; Xia Li 005; Leigang Qu; Zifan Peng; Yijun Song; Zemin Liu; Linshan Jiang; Jialin Li 001 (CoRR, 2025)

QoE-Optimized MultiPath Scheduling for Video Services in Large-Scale Peer-to-Peer CDNs. - Dehui Wei; Jiao Zhang 002; Xiang Liu 017; Haozhe Li; Zhichen Xue; Tao Huang 005; Linshan Jiang; Jialin Li 001 (IEEE J. Sel. Areas Commun., 2025)

Yotta: A Large-Scale Trustless Data Trading Scheme for Blockchain System. - Xiang Liu 017; Zhanpeng Guo; Liangxi Liu; Mengyao Zheng; Yiming Qiu; Linshan Jiang (CoRR, 2025)