1.5k citations
- City University of Hong Kong, Shenzhen Research InstituteCN70 papers
- University of Hong KongHK68 papers
- Southern University of Science and TechnologyCN50 papers
- Chinese University of Hong KongHK45 papers
- Hong Kong University of Science and TechnologyHK39 papers
- Chinese Academy of SciencesCN38 papers
- Nanyang Technological UniversitySG38 papers
- Institut National de la Recherche ScientifiqueCA35 papers
- Hong Kong Polytechnic UniversityHK34 papers
- Tsinghua UniversityCN34 papers
- Swinburne University of TechnologyAU30 papers
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1,103 papers
SIMS: Scale-Invariant Merit-Function-Based Scalarization for Multi-Task Learning
Zebin Chen, Fei Xing, Yang Chen +4
Multi-task learning (MTL) requires navigating unavoidable trade-offs among competing objectives. This paradigm is frequently formulated as multi-objective optimization (MOO), where…
Reconfigurable microwave photonic Fano filters based on optical Kerr microcombs
Qi Zou, Jiayang Wu, Yang Sun +9
Microwave photonic (MWP) Fano filters, featuring asymmetric filter shapes that enable steep spectral transitions, are attractive for high bandwidth microwave signal processing such…
Robotic Fabric Alignment System for Sewing Using Global Local Weighted ICP
Wenbo Dong, Dipankar Bhattacharya Member, Kai Tang +5
Accurate fabric alignment is a critical step that must be performed before sewing. This paper presents a novel automated fabric alignment system. The system estimates the poses of…
Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework
Zhaoqi Wang, Daqing He, Zijian Zhang +13
While retrieval-augmented generation systems partially address the hallucination issues in large language models, it also introduces new vulnerabilities to knowledge corruption att…
Large Models for Battery Prognostics and Health Management: A Review and Future Roadmap
Jiale Liu, Huan Wang, Weicheng Wang +3
Battery Prognostics and Health Management (BPHM) is critical for ensuring the safe, reliable, and cost-effective operation of batteries across electric vehicles, grid storage, and…
RRAM-DP: Device-Calibrated Differential Privacy for In-Memory Edge Learning
Kwunhang Wong, Jichang Yang, Karl M. H. Lai +7
Edge Artificial Intelligence of Things (AIoT) systems often collect sensitive data in situ, raising serious privacy concerns. Resistive-switching random-access memory (RRAM) is an…