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X-ORIGINAL-URL:https://ece.hku.hk
X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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TZID:Asia/Hong_Kong
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DTSTART:20250101T000000
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DTSTART;TZID=Asia/Hong_Kong:20260427T103000
DTEND;TZID=Asia/Hong_Kong:20260427T113000
DTSTAMP:20260511T035817
CREATED:20260422T071526Z
LAST-MODIFIED:20260422T071526Z
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SUMMARY:RPG Seminar – Toward Trustworthy Network Intrusion Detection: From Representation Learning to Multi-Agent Orchestration
DESCRIPTION:Zoom Link:\nhttps://hku.zoom.us/j/94349548162?pwd=rk4r0ND8iT1JzXjGsg293RmHKPGrjg.1 \nAbstract\nModern network intrusion detection systems face critical challenges in open and dynamic environments\, including concept drift as threat patterns evolve\, label noise as annotations are inherently unreliable\, and limited interpretability as detection decisions are difficult to understand and trust. This seminar presents our recent progress toward a trustworthy intrusion detection paradigm. We propose a representation enhancement framework that learns drift-aware and noise-robust feature embeddings\, enabling detectors to sustain high accuracy under non-stationary and imperfectly labeled conditions. We further introduce an LLM-based hierarchical multi-agent system that brings semantic reasoning into intrusion detection\, delivering both strong detection performance and human-interpretable explanations. These works chart a path from robust representation learning to next-generation agentic inference\, advancing network intrusion detection toward greater robustness\, adaptivity\, and trustworthiness. \nSpeaker\nMr Shuo YANG\nDepartment of Electrical and Computer Engineering\nThe University of Hong Kong \nBiography of the Speaker\nShuo Yang is a Ph.D. candidate in the Department of Electrical and Computer Engineering at The University of Hong Kong\, under the supervision of Prof. Edith C. H. Ngai. His current research interests include Network Security\, Trustworthy AI\, Data Mining and LLM Agent. \nOrganiser\nProf Edith C. H. NGAI \nDepartment of Electrical and Computer Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20260427-2/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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DTSTART;TZID=Asia/Hong_Kong:20260427T143000
DTEND;TZID=Asia/Hong_Kong:20260427T153000
DTSTAMP:20260511T035817
CREATED:20260413T092309Z
LAST-MODIFIED:20260413T092309Z
UID:115657-1777300200-1777303800@ece.hku.hk
SUMMARY:RPG Seminar – Mobile Reasoning-as-a-Service via Distributed LLM Inference-Time Scaling
DESCRIPTION:Zoom Link:\nhttps://hku.zoom.us/j/6589092185?pwd=19EpQ4AqzgRRwQzym8vF0aaKui1J2b.1 \nAbstract\nInference-time scaling has emerged as an effective approach for enhancing the capabilities of Large Language Models (LLMs)\, addressing the growing demand for stronger reasoning without increasing model size. This novel form of LLM scaling comprises two representative approaches: explicit reasoning\, which generates intermediate chain-of-thought tokens during an explicit thinking phase\, and implicit reasoning\, which iteratively updates hidden states in the latent space without producing explicit outputs. Despite their effectiveness\, both paradigms incur substantial computational and memory overhead\, raising challenges for deployment on resource-constrained edge devices. To address these issues\, we propose a Mobile Reasoning-as-a-Service framework that treats reasoning as a computational service accessible to edge devices over wireless networks. Focusing on implicit reasoning\, we leverage its recursive structure to partition hidden-state updates between edge devices and servers\, enabling cooperative inference that allows devices to access additional cloud computation on demand. To handle dynamic wireless conditions and optimize long-term performance\, we formulate a joint computation and communication scheduling problem and solve it using a semantic Mixture-of-Experts (MoE)-based Soft Actor-Critic (SAC) algorithm to address heterogeneity in wireless conditions and task demands. Ultimately\, this work validates distributed inference-time scaling through semantic-aware collaborative reasoning services\, offering a scalable and efficient paradigm for deploying advanced LLM reasoning at the mobile edge \nSpeaker\nMr. Guanchen LIU\nDepartment of Electrical and Computer Engineering\nThe University of Hong Kong \nBiography of the Speaker\nGuanchen Liu received his B.S. degree from the Harbin Institute of Technology. He is currently an MPhil candidate in the Department of Electrical and Computer Engineering at the University of Hong Kong\, with a research focus on LLM reasoning. \nOrganiser\nProf. Kaibin HUANG \nDepartment of Electrical and Computer Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20260427/
CATEGORIES:Seminar
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