93 citations
- University of MacauMO8 papers
- Shandong UniversityCN3 papers
- Shanghai Jiao Tong UniversityCN3 papers
- University of CoimbraPT3 papers
- Uppsala UniversitySE3 papers
- Guangdong University of TechnologyCN2 papers
- Hunan UniversityCN2 papers
- Institute of Materials for Electronics and MagnetismIT2 papers
- Italian Institute of TechnologyIT2 papers
- Korea UniversityKR2 papers
- Lawrence Berkeley National LaboratoryUS2 papers
- Macau University of Science and TechnologyMO2 papers
47 papers
RUQuant: Towards Refining Uniform Quantization for Large Language Models
Han Liu, Haotian Gao, Changya Li +4
The increasing size and complexity of large language models (LLMs) have raised significant challenges in deployment efficiency, particularly under resource constraints. Post-traini…
Efficient and Robust p-type Transistor based on Ultra-wide-bandgap Semiconductor
Kaijian Xing, Zherui Yang, Weiyao Zhao +17
The p-type transistor is an indispensable component of semiconductor technology, enabling complementary operation with n-channel transistors for computation, storage, and communica…
On the Impact of Phase Errors in Phase-Dependent Amplitudes of Near-Field RISs
Ke Wang, Chan-Tong Lam, Benjamin K. Ng +1
This paper investigates mutual coupling between phase-dependent amplitudes (PDAs) and designed phase shifts within pixels of near-field (NF) reconfigurable intelligent surfaces (RI…
Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation
Qiangguo Jin, Hui Cui, Junbo Wang +7
Semi-supervised learning (SSL) has attracted considerable attention in medical image processing. The latest SSL methods use a combination of consistency regularization and pseudo-l…
Taylor$\unicode{x2013}$Aris dispersion of active particles in oscillatory channel flow
Bohan Wang, Weiquan Jiang, Li Zeng +2
Mass dispersion in oscillatory flows is intimately linked to various environmental and biological processes, offering a distinct contrast to dispersion in steady flows due to the p…
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
Yijie Zhu, Lingsen Zhang, Zitong Yu +3
Emotional understanding and generation are often treated as separate tasks, yet they are inherently complementary and can mutually enhance each other. In this paper, we propose the…