Kefei Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
11
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Synthetic Doctor-Patient Dialogue Generation for Robust Medical ASR: A Scalable Pipeline for Vocabulary Expansion and Privacy Preservation. | Kefei Liu, Meizhu Liu |
| 2026 | NSDI | Skyline: A Cloud Centric Internet Monitoring Engine. | Shixian Guo, Ziqian Liu, Yangyang Bai, Yuan Chen, Kefei Liu, Qi Zhang, Songlin Liu, Yang Lv, Jianwei Hu, Gen Li, Zhenyang Zhong, Sisi Wen, Yongbin Dong, Feng Luo, Anjian Chen, Rui Han, Jiale Feng, Lingpei Meng, Siwan Chen, Hang Li, Shuai Xu, Juntao Zhong, Chaoran Hu, Yibo Huang, Yiming Qiu |
| 2026 | SIGCOMM | Horizon: A Hyper-Edge Observability Engine for Live Streaming Networks. | Ziqian Liu, Daqian Ding, Rui Han, Shixian Guo, Zhendong Xie, Aifang Xu, Changqian Wang, Kefei Liu, Jialin Li, Yunming Xiao, Heming Cui, Yiming Qiu |
| 2026 | SIGCOMM | Evaluating Link-level Lossless Mechanisms in AI Networks. | Kefei Liu, Ruixue Wang, Tianrun Jiang, Runlong Hu, Jieyu Li, Weiqiang Cheng, Kai Yang, Danyuan Zhou, Yan Zhang, Junye Zhang, Xinhong Deng, Rundi Zhai, Cong Qi, Yijian Qi |
| 2026 | SIGCOMM | Delphinus: Ultra-Fast Link Failure Detection and Recovery for AI Data Center Networks. | Junye Zhang, Jie Li, Zhigang Ji, Hui Yuan, Kefei Liu, Rui Zhuang, Ruixue Wang, Weiqiang Cheng, Zixuan Guan, Xiaolong Zheng |
| 2026 | SIGCOMM | Dragonfly-Ultra: A Scalable, Low-Cost Network Architecture for High-Performance AI Clusters. | Rui Zhuang, Hui Yuan, Junye Zhang, Kefei Liu, Jie Li, Weiqiang Cheng, Yuting Wu, Xinyuan Cao, Xiangyu Chen, Zixuan Guan, Shengnan Yue, Ruixue Wang, Tong Yang, Xiaolong Zheng |
| 2025 | SIGCOMM | ByteTracker: An Agentless and Real-time Path-aware Network Probing System. | Shixian Guo, Kefei Liu, Yulin Lai, Yangyang Bai, Ziwei Zhao, Songlin Liu, Jianghang Ning, Gen Li, Jianwei Hu, Yongbin Dong, Feng Luo, Sisi Wen, Qi Zhang, Yuan Chen, Jiale Feng, Yang Bai, Chengcai Yao, Zhe Liu, Xin Hu, Yang Lv, Zhuo Jiang, Jiao Zhang, Tao Huang |
| 2024 | SIGCOMM | R-Pingmesh: A Service-Aware RoCE Network Monitoring and Diagnostic System. | Kefei Liu, Zhuo Jiang, Jiao Zhang, Shixian Guo, Xuan Zhang, Yangyang Bai, Yongbin Dong, Feng Luo, Zhang Zhang, Lei Wang, Xiang Shi, Haohan Xu, Yang Bai, Dongyang Song, Haoran Wei, Bo Li, Yongchen Pan, Tian Pan, Tao Huang |
| 2023 | NSDI | Hostping: Diagnosing Intra-host Network Bottlenecks in RDMA Servers. | Kefei Liu, Zhuo Jiang, Jiao Zhang, Haoran Wei, Xiaolong Zhong, Lizhuang Tan, Tian Pan, Tao Huang |
| 2022 | ISCAS | An Event-driven Spiking Neural Network Accelerator with On-chip Sparse Weight. | Yisong Kuang, Xiaoxin Cui, Chenglong Zou, Yi Zhong, Zhenhui Dai, Zilin Wang, Kefei Liu, Dunshan Yu, Yuan Wang |
| 2021 | IJCNN | An SNN-Based and Neuromorphic-Hardware-Implementable Noise Filter with Self-adaptive Time Window for Event-Based Vision Sensor. | Kanglin Xiao, Xiaoxin Cui, Kefei Liu, Xiaole Cui, Xin'an Wang |
| 2021 | ISCAS | A 28-nm 0.34-pJ/SOP Spike-Based Neuromorphic Processor for Efficient Artificial Neural Network Implementations. | Yisong Kuang, Xiaoxin Cui, Yi Zhong, Kefei Liu, Chenglong Zou, Zhenhui Dai, Dunshan Yu, Yuan Wang, Ru Huang |
| 2021 | ISCAS | A Spike-Event-Based Neuromorphic Processor with Enhanced On-Chip STDP Learning in 28nm CMOS. | Yi Zhong, Xiaoxin Cui, Yisong Kuang, Kefei Liu, Yuan Wang, Ru Huang |
| 2020 | AMIA | Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. | Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, Li Shen |
| 2020 | BIBE | Deep Multiview Learning to Identify Population Structure with Multimodal Imaging. | Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen |
| 2020 | GLOBECOM | PLB: Adaptive Partial Congestion-aware Load Balancing for Datacenter Networks. | Kefei Liu, Jiao Zhang, Dehui Wei, Kai Zhang, Tao Huang |
| 2020 | MICCAI | Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet. | Mansu Kim, Jingxaun Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Li Shen |
| 2019 | MICCAI | A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. | Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen |
| 2019 | MICCAI | Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank. | Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, Xia Ning |
| 2017 | ICASSP | Bayesian information criterion for multidimensional sinusoidal order selection. | Jie Xiong, Kefei Liu, Joo Paulo Carvalho Lustosa da Costa, Wen-Qin Wang |
| 2017 | MICCAI | A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics. | Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen |
| 2017 | MICCAI | Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm. | Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen |
| 2014 | AINA | Evaluation of Space-Time-Frequency (STF)-Coded MIMO-OFDM Systems in Realistic Channel Models. | Ricardo Kehrle Miranda, Joo Paulo Carvalho Lustosa da Costa, Marco A. M. Marinho, Edison Pignaton de Freitas, Rafael de Freitas Ramos, Kefei Liu, Hing-Cheung So, Leonardo Gomes Baltar, Rafael Timteo de Sousa Jnior |
| 2013 | ICASSP | Core consistency diagnostic aided by reconstruction error for accurate enumeration of the number of components in parafac models. | Kefei Liu, Hing-Cheung So, Joo Paulo Carvalho Lustosa da Costa, Lei Huang |
| 2012 | ICASSP | A multi-dimensional model order selection criterion with improved identifiability. | Kefei Liu, Hing-Cheung So, Lei Huang |