Xiang Liu - RankMe

27 papers A* 4A 1Misc 1Journal 13Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diffusion-based model as a generalizable denoiser for optoacoustic imaging. Comput. Biol. Medicine Yuan Xu, Xiang Liu, Xia Li, Sandeep Kumar Kalva, Joachim M. Buhmann, Daniel Razansky, X. Luís Dean-Ben
2026	A*	`conf`	MASI: Memory-Adaptive Inference Framework for Spiking Neural Networks on Edge Devices. WWW Di Yu, Helin Zheng, Changze Lv, Xin Du, Linshan Jiang, Xiang Liu, Gang Pan, Shuiguang Deng
2026	J	`jnl`	Validation of a Software-Defined 100-Gb/s RDMA Streaming Architecture for Ultrafast Optoacoustic and Ultrasound Imaging. CoRR Federico Villani, Christian Vogt, Luca Specht, Jero Schmid, Xiang Liu, Andrea Cossettini, Daniel Razansky, Luca Benini
2025	J	`jnl`	Automatic Pruning via Structured Lasso with Class-wise Information. CoRR Xiang Liu, Mingchen Li, Xia Li, Leigang Qu, Zifan Peng, Yijun Song, Zemin Liu, Linshan Jiang, Jialin Li
2025	J	`jnl`	Building State Machine Replication Using Practical Network Synchrony. CoRR Yiliang Wan, Nitin Shivaraman, Akshaye Shenoi, Xiang Liu, Tao Luo, Jialin Li
2025	—	`conf`	Efficient Partitioning Deep Learning Models for Medical Image Analysis on Iot Devices. BIBM Xiang Liu, Mengyao Zheng, Junyong Cao, Dehui Wei, Kang Lai, Huiying Lan, Yijun Song, Xia Li
2025	A	`conf`	Efficient Partitioning Vision Transformer on Edge Devices for Distributed Inference. ICDCS Xiang Liu, Yijun Song, Xia Li, Yifei Sun, Huiying Lan, Zemin Liu, Linshan Jiang, Jialin Li
2025	—	`conf`	High Performance Computing Framework for Secure Variable Selection on Genome-Wide Association Studies with Adaptive Vertical Federated Learning. BIBM Mengyao Zheng, Xiang Liu, Junyong Cao, Xueling Liu, Huiying Lan, Liangxi Liu, Xia Li
2025	J	`jnl`	Hypernetworks for Model-Heterogeneous Personalized Federated Learning. CoRR Chen Zhang, Husheng Li, Xiang Liu, Linshan Jiang, Danxin Wang
2025	A*	`conf`	One-shot Federated Learning Methods: A Practical Guide. IJCAI Xiang Liu, Zhenheng Tang, Xia Li, Yijun Song, Sijie Ji, Zemin Liu, Bo Han, Linshan Jiang, Jialin Li
2025	J	`jnl`	One-shot Federated Learning Methods: A Practical Guide. CoRR Xiang Liu, Zhenheng Tang, Xia Li, Yijun Song, Sijie Ji, Zemin Liu, Bo Han, Linshan Jiang, Jialin Li
2025	J	`jnl`	QoE-Optimized MultiPath Scheduling for Video Services in Large-Scale Peer-to-Peer CDNs. IEEE J. Sel. Areas Commun. Dehui Wei, Jiao Zhang, Xiang Liu, Haozhe Li, Zhichen Xue, Tao Huang, Linshan Jiang, Jialin Li
2025	A*	`conf`	SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation. CVPR Leigang Qu, Haochuan Li, Wenjie Wang, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua
2025	J	`jnl`	Yotta: A Large-Scale Trustless Data Trading Scheme for Blockchain System. CoRR Xiang Liu, Zhanpeng Guo, Liangxi Liu, Mengyao Zheng, Yiming Qiu, Linshan Jiang
2024	J	`jnl`	ED-ViT: Splitting Vision Transformer for Distributed Inference on Edge Devices. CoRR Xiang Liu, Yijun Song, Xia Li, Yifei Sun, Huiying Lan, Zemin Liu, Linshan Jiang, Jialin Li
2024	A*	`conf`	FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation. NeurIPS Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li
2024	—	`conf`	FusionFrame: A Fusion Dataflow Scheduling Framework for DNN Accelerators via Analytical Modeling. ICA3PP (6) Liutao Zheng, Huiying Lan, Xiang Liu, Linshan Jiang, Xuehai Zhou
2024	—	`conf`	High Performance Computing Framework for Variable Selection on Genome-wide Association Studies. BIBM Xiang Liu, Xueling Liu, Jing Diao, Mengyao Zheng, Jihe Li, Dehui Wei, Qipeng Xie, Xia Li, Linshan Jiang
2024	—	`conf`	Novel Truncated-rank Graph-structured and Tree-guided Sparse Linear Mixed Models for Variable Selection on Genome-wide Association Studies. BIBM Xiang Liu, Xueling Liu, Jing Diao, Mengyao Zheng, Jihe Li, Yongyi Xie, Kang Lai, Xiao Geng, Yijun Song, Linshan Jiang
2024	J	`jnl`	SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation. CoRR Leigang Qu, Haochuan Li, Wenjie Wang, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua
2024	J	`jnl`	Sparse Variable Selection on High Dimensional Heterogeneous Data With Tree Structured Responses. IEEE Access Hui Liu, Xiang Liu, Jing Diao, Wenting Ye, Xueling Liu, Dehui Wei
2023	J	`jnl`	FedLPA: Personalized One-shot Federated Learning with Layer-Wise Posterior Aggregation. CoRR Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li
2019	Misc	`conf`	Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning. PSB Haohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W. Cohen, Eric P. Xing
2018	—	`conf`	Jersey Number Recognition With Semi-Supervised Spatial Transformer Network. CVPR Workshops Gen Li, Shikun Xu, Xiang Liu, Lei Li, Changhu Wang
2018	—	`conf`	Latency-Optimal Task Offloading for Mobile-Edge Computing System in 5G Heterogeneous Networks. VTC Spring Guoxuan Chi, Yumei Wang, Xiang Liu, Yiming Qiu
2017	J	`jnl`	A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction. CoRR Wenting Ye, Xiang Liu, Haohan Wang, Eric P. Xing
2017	—	`conf`	Multiplex confounding factor correction for genomic association mapping with squared sparse linear mixed model. BIBM Haohan Wang, Xiang Liu, Yunpeng Xiao, Ming Xu, Eric P. Xing