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Zicong Hong
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D^2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving
Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management
Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing
Collaborative Neural Architecture Search for Personalized Federated Learning
Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning
VeriDKG: A Verifiable SPARQL Query Engine for Decentralized Knowledge Graphs
Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
OTAS: An Elastic Transformer Serving System via Token Adaptation
Poisoning Attack on Federated Knowledge Graph Embedding
ptimus: Warming Serverless ML Inference via Inter-Function Model Transformation
Chiron: A Robustness-aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning
GriDB: Scaling Blockchain Database via Sharding and Off-Chain Cross-Shard Mechanism
PROPHET: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering
Long-term Adaptive VCG Auction Mechanism for Sustainable Federated Learning with Periodical Client Shifting
Sustainable Federated Learning with Long-term Online VCG Auction Mechanism
CYCLE: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing
MSTDB- A Hybrid Storage-empowered Scalable Semantic Blockchain Database
Scaling Blockchain via Layered Sharding
Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism
Pyramid: A Layered Sharding Blockchain System
SkyChain: A Deep Reinforcement Learning-Empowered Dynamic Blockchain Sharding System
Multi-hop cooperative computation offloading for industrial IoT--edge--cloud computing environments
QoS-Aware Cooperative Computation Offloading for Robot Swarms in Cloud Robotics
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