Xiang Liu

According to our database, Xiang Liu authored at least 29 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents.

Xiang Liu, Sa Song, Zhaowei Zhang, Huiying Lan, Jason Zeng, Ming Wu, Michael Heinrich, Yong Sun, Ceyao Zhang

CoRR, May, 2026

RL over Commodity Networks: Overcoming the Bandwidth Barrier with Lossless Sparse Deltas.

Chaoyi Ruan, Geng Luo, Xinyi Wan, Long Zhao, Qinghe Wang, Jiaan Zhu, Duling Xu, Guanbin Xu, Dehui Wei, Xiang Liu, Cheng Li, Haifeng Sun, Congcong Miao, Jialin Li

CoRR, February, 2026

Validation of a Software-Defined 100-Gb/s RDMA Streaming Architecture for Ultrafast Optoacoustic and Ultrasound Imaging.

Federico Villani, Christian Vogt, Luca Specht, Jero Schmid, Xiang Liu, Andrea Cossettini, Daniel Razansky, Luca Benini

CoRR, January, 2026

HyStream: A Hybrid System for Application Streaming via Predictive Delivery and Sequence-Linearized Caching.

Jun Lu, Sheng Yue, Xiang Liu, Jinrui Zhang, Yongjian Fu, Jialin Li

IEEE Trans. Netw., 2026

Diffusion-based model as a generalizable denoiser for optoacoustic imaging.

Yuan Xu, Xiang Liu, Xia Li, Sandeep Kumar Kalva, Joachim M. Buhmann, Daniel Razansky, X. Luís Dean-Ben

Comput. Biol. Medicine, 2026

MASI: Memory-Adaptive Inference Framework for Spiking Neural Networks on Edge Devices.

Di Yu, Helin Zheng, Changze Lv, Xin Du, Linshan Jiang, Xiang Liu, Gang Pan, Shuiguang Deng

Proceedings of the ACM Web Conference 2026, 2026

Lemonshark: Asynchronous DAG-BFT With Early Finality.

Michael Yiqing Hu, Alvin Hong Yao Yan, Yihan Yang, Xiang Liu, Jialin Li

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

2025

Hypernetworks for Model-Heterogeneous Personalized Federated Learning.

Chen Zhang, Husheng Li, Xiang Liu, Linshan Jiang, Danxin Wang

CoRR, July, 2025

Building State Machine Replication Using Practical Network Synchrony.

Yiliang Wan, Nitin Shivaraman, Akshaye Shenoi, Xiang Liu, Tao Luo, Jialin Li

CoRR, July, 2025

Yotta: A Large-Scale Trustless Data Trading Scheme for Blockchain System.

Xiang Liu, Zhanpeng Guo, Liangxi Liu, Mengyao Zheng, Yiming Qiu, Linshan Jiang

CoRR, June, 2025

QoE-Optimized MultiPath Scheduling for Video Services in Large-Scale Peer-to-Peer CDNs.

Dehui Wei, Jiao Zhang, Xiang Liu, Haozhe Li, Zhichen Xue, Tao Huang, Linshan Jiang, Jialin Li

IEEE J. Sel. Areas Commun., February, 2025

Automatic Pruning via Structured Lasso with Class-wise Information.

Xiang Liu, Mingchen Li, Xia Li, Leigang Qu, Zifan Peng, Yijun Song, Zemin Liu, Linshan Jiang, Jialin Li

CoRR, February, 2025

One-shot Federated Learning Methods: A Practical Guide.

Xiang Liu, Zhenheng Tang, Xia Li, Yijun Song, Sijie Ji, Zemin Liu, Bo Han, Linshan Jiang, Jialin Li

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Efficient Partitioning Vision Transformer on Edge Devices for Distributed Inference.

Xiang Liu, Yijun Song, Xia Li, Yifei Sun, Huiying Lan, Zemin Liu, Linshan Jiang, Jialin Li

Proceedings of the 45th IEEE International Conference on Distributed Computing Systems, 2025

SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation.

Leigang Qu, Haochuan Li, Wenjie Wang, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

High Performance Computing Framework for Secure Variable Selection on Genome-Wide Association Studies with Adaptive Vertical Federated Learning.

Mengyao Zheng, Xiang Liu, Junyong Cao, Xueling Liu, Huiying Lan, Liangxi Liu, Xia Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Efficient Partitioning Deep Learning Models for Medical Image Analysis on Iot Devices.

Xiang Liu, Mengyao Zheng, Junyong Cao, Dehui Wei, Kang Lai, Huiying Lan, Yijun Song, Xia Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

ED-ViT: Splitting Vision Transformer for Distributed Inference on Edge Devices.

Xiang Liu, Yijun Song, Xia Li, Yifei Sun, Huiying Lan, Zemin Liu, Linshan Jiang, Jialin Li

CoRR, 2024

Sparse Variable Selection on High Dimensional Heterogeneous Data With Tree Structured Responses.

Hui Liu, Xiang Liu, Jing Diao, Wenting Ye, Xueling Liu, Dehui Wei

IEEE Access, 2024

FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation.

Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FusionFrame: A Fusion Dataflow Scheduling Framework for DNN Accelerators via Analytical Modeling.

Liutao Zheng, Huiying Lan, Xiang Liu, Linshan Jiang, Xuehai Zhou

Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

Novel Truncated-rank Graph-structured and Tree-guided Sparse Linear Mixed Models for Variable Selection on Genome-wide Association Studies.

Xiang Liu, Xueling Liu, Jing Diao, Mengyao Zheng, Jihe Li, Yongyi Xie, Kang Lai, Xiao Geng, Yijun Song, Linshan Jiang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

High Performance Computing Framework for Variable Selection on Genome-wide Association Studies.

Xiang Liu, Xueling Liu, Jing Diao, Mengyao Zheng, Jihe Li, Dehui Wei, Qipeng Xie, Xia Li, Linshan Jiang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

FedLPA: Personalized One-shot Federated Learning with Layer-Wise Posterior Aggregation.

Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li

CoRR, 2023

2019

Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.

Haohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W. Cohen, Eric P. Xing

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2018

Latency-Optimal Task Offloading for Mobile-Edge Computing System in 5G Heterogeneous Networks.

Guoxuan Chi, Yumei Wang, Xiang Liu, Yiming Qiu

Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

Jersey Number Recognition With Semi-Supervised Spatial Transformer Network.

Gen Li, Shikun Xu, Xiang Liu, Lei Li, Changhu Wang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction.

Wenting Ye, Xiang Liu, Haohan Wang, Eric P. Xing

CoRR, 2017

Multiplex confounding factor correction for genomic association mapping with squared sparse linear mixed model.

Haohan Wang, Xiang Liu, Yunpeng Xiao, Ming Xu, Eric P. Xing

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017