Gang Huang

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba

2021

Conceptual graphs, which is a particular type of Knowledge Graphs, play an essential role in semantic search. Prior conceptual graph construction approaches typically extract high-frequent, coarse-grained, and time-invariant concepts from formal texts such as Wikipedia. …

FLASH: Heterogeneity-Aware Federated Learning at Scale

2022 · IEEE Transactions on Mobile Computing

Federated learning (FL) becomes a promising machine learning paradigm. The impact of heterogeneous hardware specifications and dynamic states on the FL process has not yet been studied systematically. This paper presents the first large-scale study …

Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation

2023 · arXiv (Cornell University)

Personalized Federated Learning (PFL) aims to learn personalized models for each client based on the knowledge across all clients in a privacy-preserving manner. Existing PFL methods generally assume that the underlying global data across all …

Open hardware solutions in quantum technology

2024 · APL Quantum

Quantum technologies, such as communication, computing, and sensing, offer vast opportunities for advanced research and development. While an open-source ethos currently exists within some quantum technologies, especially in quantum computer programming, we argue that there …

TITAN: A Fast and Distributed Large-Scale Trapped-Ion NISQ Computer

2024

Trapped-Ion (TI) technology offers potential breakthroughs for Noisy Intermediate Scale Quantum (NISQ) computing. TI qubits offer extended coherence times and high gate fidelity, making them appealing for large-scale NISQ computers. Constructing such computers demands a …