PhD in Computer Science
The Hong Kong Polytechnic University, 2022
Human Cognition Modeling for the Metaverse-oriented Design System
Article
Article
Towards performance-maximizing neural network pruning via global channel attention
Article
Conference paper
Conference paper
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
Conference paper
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
Conference paper
Dual Expert Distillation Network for Generalized Zero-Shot Learning
Conference paper
Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring
Conference paper
On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks
Conference paper
OTAS: An Elastic Transformer Serving System via Token Adaptation
Conference paper
Article
RuleDRL: Reliability-Aware SFC Provisioning with Bounded Approximations in Dynamic Environments
Article
Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning
Article
Prophet: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering
Conference paper
SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models
Conference paper
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models
Conference paper
Towards Unbiased Training in Federated Open-world Semi-supervised Learning
Conference paper
A Survey of Incentive Mechanism Design for Federated Learning
Article
Adaptive Federated Learning on Non-IID Data With Resource Constraint
Article
Adaptive Vertical Federated Learning on Unbalanced Features
Article
Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge
Article
Federated Unlearning: Guarantee the Right of Clients to Forget
Article
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning
Conference paper
Layer-wised Model Aggregation for Personalized Federated Learning
Conference paper
Conference paper
Parameterized Knowledge Transfer for Personalized Federated Learning
Conference paper
Dual-view Attention Networks for Single Image Super-Resolution
Conference paper
Multi-path routing oriented flow statistics collection in software defined networks
Conference paper
Energy-efficient coordinated multipoint scheduling in green cloud radio access network
Article
Stochastic scheduling towards cost efficient network function virtualization in edge cloud
Conference paper
Take Renewable Energy into CRAN toward Green Wireless Access Networks
Article
Joint Optimization of Virtual Function Migration and Rule Update in Software Defined NFV Networks
Conference paper
Minimize Coflow Completion Time via Joint Optimization of Flow Scheduling and Processor Placement
Conference paper
On rule placement for multi-path routing in software-defined networks
Conference paper
Human Cognition Modeling for the Metaverse-oriented Design System
Towards performance-maximizing neural network pruning via global channel attention
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
Dual Expert Distillation Network for Generalized Zero-Shot Learning
Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring
On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks
OTAS: An Elastic Transformer Serving System via Token Adaptation
RuleDRL: Reliability-Aware SFC Provisioning with Bounded Approximations in Dynamic Environments
Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning
Prophet: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering
SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models
Towards Unbiased Training in Federated Open-world Semi-supervised Learning
Parameterized Knowledge Transfer for Personalized Federated Learning
Dual-view Attention Networks for Single Image Super-Resolution
On rule placement for multi-path routing in software-defined networks
Energy-efficient coordinated multipoint scheduling in green cloud radio access network
Article
Stochastic scheduling towards cost efficient network function virtualization in edge cloud
Conference paper
Take Renewable Energy into CRAN toward Green Wireless Access Networks
Article
Joint Optimization of Virtual Function Migration and Rule Update in Software Defined NFV Networks
Conference paper
Minimize Coflow Completion Time via Joint Optimization of Flow Scheduling and Processor Placement
Conference paper
On rule placement for multi-path routing in software-defined networks
Conference paper
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