PhD in Computer Science and Engineering
The Hong Kong University of Science and Technology, 2022
A Survey for Federated Learning Evaluations: Goals and Measures
Article
High-Performance Hardware Acceleration Architecture for Cross-Silo Federated Learning
Article
Load Balancing With Multi-Level Signals for Lossless Datacenter Networks
Article
Micro-Burst Aware ECN in Multi-Queue Data Centers: Algorithm and Implementation
Article
Accelerating Privacy-Preserving Machine Learning With GeniBatch
Conference paper
Fast, Scalable, and Accurate Rate Limiter for RDMA NICs
Conference paper
Efficient DRL-Based Congestion Control With Ultra-Low Overhead
Article
Enabling ECN for Datacenter Networks with RTT Variations
Article
LiteFlow: Toward High-Performance Adaptive Neural Networks for Kernel Datapath
Article
Communication Efficient Secret Sharing with Dynamic Communication-Computation Conversion
Conference paper
Enabling Load Balancing for Lossless Datacenters
Conference paper
Conference paper
Practical and Secure Federated Recommendation with Personalized Mask
Conference paper
Secure Forward Aggregation for Vertical Federated Neural Networks
Conference paper
Liteflow: Towards High-Performance Adaptive Neural Networks for Kernel Datapath
Conference paper
Multi-Objective Congestion Control
Conference paper
Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data
Conference paper
Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud
Conference paper
Spine: An Efficient DRL-based Congestion Control with Ultra-low Overhead
Conference paper
Towards the Full Extensibility of Multipath TCP with eMPTCP
Conference paper
Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning
Conference paper
Enabling Low Latency Edge Intelligence Based on Multi-Exit DNNs in the Wild
Conference paper
Article
Article
RAT-Resilient Allreduce Tree for Distributed Machine Learning
Conference paper
Bridging the edge-cloud barrier for real-time advanced vision analytics
Conference paper
Enabling ECN for Datacenter Networks with RTT Variations
Conference paper
Quantifying the Performance of Federated Transfer Learning
Conference paper
Rethinking transport layer design for distributed machine learning
Conference paper
Resilient Datacenter Load Balancing in the Wild
Conference paper
A Survey for Federated Learning Evaluations: Goals and Measures
High-Performance Hardware Acceleration Architecture for Cross-Silo Federated Learning
Load Balancing With Multi-Level Signals for Lossless Datacenter Networks
Micro-Burst Aware ECN in Multi-Queue Data Centers: Algorithm and Implementation
Efficient DRL-Based Congestion Control With Ultra-Low Overhead
LiteFlow: Toward High-Performance Adaptive Neural Networks for Kernel Datapath
Liteflow: Towards High-Performance Adaptive Neural Networks for Kernel Datapath
Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data
Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud
Spine: An Efficient DRL-based Congestion Control with Ultra-low Overhead
Resilient Datacenter Load Balancing in the Wild
Conference paper
COMP3511 | Operating Systems |
COMP4981 | Final Year Project |
No Teaching Assignments |
No Teaching Assignments |
No Teaching Assignments |
No Teaching Assignments |
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