Li Chen

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 32

Top Topics

Completion Times

Distributed Data

Top Venues

IEEE Trans. Parallel Distributed Syst.

ACM Trans. Sens. Networks

Publications

Shuhao Liu, Li Chen, Yuanzhong Fu
Periscoping: Private Key Distribution for Large-Scale Mixnets. INFOCOM (2024)
Jie Lian, Xu Yuan, Jiadong Lou, Li Chen, Hao Wang, Nian-Feng Tzeng
Room-scale Location Trace Tracking via Continuous Acoustic Waves. ACM Trans. Sens. Networks 20 (3) (2024)
Jiabin Chen, Fei Xu, Yikun Gu, Li Chen, Fangming Liu, Zhi Zhou
HarmonyBatch: Batching multi-SLO DNN Inference with Heterogeneous Serverless Functions. CoRR (2024)
Md Sirajul Islam, Simin Javaherian, Fei Xu, Xu Yuan, Li Chen, Nian-Feng Tzeng
FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering. CoRR (2024)
Jie Lian, Changlai Du, Jiadong Lou, Li Chen, Xu Yuan
EchoSensor: Fine-grained Ultrasonic Sensing for Smart Home Intrusion Detection. ACM Trans. Sens. Networks 20 (1) (2024)
Md Sirajul Islam, Simin Javaherian, Fei Xu, Xu Yuan, Li Chen, Nian-Feng Tzeng
FedClust: Optimizing Federated Learning on Non-IID Data Through Weight-Driven Client Clustering. IPDPS (Workshops) (2024)
Abeda Sultana, Fei Xu, Xu Yuan, Li Chen, Nian-Feng Tzeng
Hadar: Heterogeneity-Aware Optimization-Based Online Scheduling for Deep Learning Cluster. IPDPS (2024)
Md Sirajul Islam, Simin Javaherian, Fei Xu, Xu Yuan, Li Chen, Nian-Feng Tzeng
FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering. CoRR (2024)
Md Sirajul Islam, Simin Javaherian, Fei Xu, Xu Yuan, Li Chen, Nian-Feng Tzeng
FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering. ICPP (2024)
Ruitao Shang, Fei Xu, Zhuoyan Bai, Li Chen, Zhi Zhou, Fangming Liu
spotDNN: Provisioning Spot Instances for Predictable Distributed DNN Training in the Cloud. IWQoS (2023)
Jananie Jarachanthan, Li Chen, Fei Xu
ACTS: Autonomous Cost-Efficient Task Orchestration for Serverless Analytics. IWQoS (2023)
Fudong Lin, Xu Yuan, Yihe Zhang, Purushottam Sigdel, Li Chen, Lu Peng, Nian-Feng Tzeng
Comprehensive Transformer-Based Model Architecture for Real-World Storm Prediction. ECML/PKDD (7) (2023)
Fei Xu, Jianian Xu, Jiabin Chen, Li Chen, Ruitao Shang, Zhi Zhou, Fangming Liu
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud. IEEE Trans. Parallel Distributed Syst. 34 (3) (2023)
Fudong Lin, Summer Crawford, Kaleb Guillot, Yihe Zhang, Yan Chen, Xu Yuan, Li Chen, Shelby Williams, Robert Minvielle, Xiangming Xiao, Drew Gholson, Nicolas Ashwell, Tri Setiyono, Brenda Tubana, Lu Peng, Magdy A. Bayoumi, Nian-Feng Tzeng
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer. CoRR (2023)
Fei Xu, Yiling Qin, Li Chen, Zhi Zhou, Fangming Liu
λDNN: Achieving Predictable Distributed DNN Training With Serverless Architectures. IEEE Trans. Computers 71 (2) (2022)
Jananie Jarachanthan, Li Chen, Fei Xu, Bo Li
Astrea: Auto-Serverless Analytics Towards Cost-Efficiency and QoS-Awareness. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Abeda Sultana, Md. Mainul Haque, Li Chen, Fei Xu, Xu Yuan
Eiffel: Efficient and Fair Scheduling in Adaptive Federated Learning. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Li Chen, Shuhao Liu, Baochun Li
Optimizing Network Transfers for Data Analytic Jobs Across Geo-Distributed Datacenters. IEEE Trans. Parallel Distributed Syst. 33 (2) (2022)
Fei Xu, Jianian Xu, Jiabin Chen, Li Chen, Ruitao Shang, Zhi Zhou, Fangming Liu
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud. CoRR (2022)
Li Chen, Yuan Feng, Baochun Li, Bo Li
A Case for Pricing Bandwidth: Sharing Datacenter Networks With Cost Dominant Fairness. IEEE Trans. Parallel Distributed Syst. 32 (5) (2021)
Li Chen, Shuhao Liu, Baochun Li, Bo Li
Scheduling Jobs across Geo-Distributed Datacenters with Max-Min Fairness. IEEE Trans. Netw. Sci. Eng. 6 (3) (2019)
Li Chen, Yuan Feng, Baochun Li, Bo Li
Promenade: Proportionally Fair Multipath Rate Control in Datacenter Networks with Random Network Coding. IEEE Trans. Parallel Distributed Syst. 30 (11) (2019)
Yuanxiang Gao, Li Chen, Baochun Li
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization. NeurIPS (2018)
Li Chen, Yuan Feng, Baochun Li, Bo Li
Efficient Performance-Centric Bandwidth Allocation with Fairness Tradeoff. IEEE Trans. Parallel Distributed Syst. 29 (8) (2018)
Shuhao Liu, Li Chen, Baochun Li
Siphon: Expediting Inter-Datacenter Coflows in Wide-Area Data Analytics. USENIX Annual Technical Conference (2018)
Yuanxiang Gao, Li Chen, Baochun Li
Spotlight: Optimizing Device Placement for Training Deep Neural Networks. ICML (2018)
Shuhao Liu, Li Chen, Baochun Li, Aiden Carnegie
A Hierarchical Synchronous Parallel Model for Wide-Area Graph Analytics. INFOCOM (2018)
Shuhao Liu, Li Chen, Baochun Li
Siphon: a high-performance substrate for inter-datacenter transfers in wide-area data analytics. SoCC (2017)
Li Chen, Shuhao Liu, Baochun Li, Bo Li
Scheduling jobs across geo-distributed datacenters with max-min fairness. INFOCOM (2017)
Li Chen, Wei Cui, Baochun Li, Bo Li
Optimizing coflow completion times with utility max-min fairness. INFOCOM (2016)
Li Chen, Baochun Li, Bo Li
Barrier-Aware Max-Min Fair Bandwidth Sharing and Path Selection in Datacenter Networks. IC2E (2016)
Li Chen, Baochun Li, Bo Li
Surviving Failures with Performance-Centric Bandwidth Allocation in Private Datacenters. IC2E (2016)
Li Chen, Yuan Feng, Baochun Li, Bo Li
Towards performance-centric fairness in datacenter networks. INFOCOM (2014)
Li Chen, Baochun Li, Bo Li
Allocating Bandwidth in Datacenter Networks: A Survey. J. Comput. Sci. Technol. 29 (5) (2014)