Seminar

Zoom Link: https://hku.zoom.us/j/93740801215 Abstract  Diffusion models generate high-quality images and videos, closely mirroring the imagination of human brain. Specifically, score-based diffusion models generate by solving neural differential equations. However, their […]

Zoom Link: https://hku.zoom.us/j/7425733217?omn=96993354197 Abstract Different Length Alignment Sewing (DLAS), which involves stretching the shorter fabric to match the longer one and sewing them together in a straight line, is a […]

Zoom Link: https://hku.zoom.us/j/9706928305?omn=95929409545 Abstract Unlike rigid objects, fabric pieces are difficult for robots to plan motion because they are deformable objects with infinite degrees of freedom, and their states evolve […]

Zoom Link: https://hku.zoom.us/j/99913066038?pwd=qqqBn1ojbFqbJJ4Koun6hucopMT2rJ.1 Abstract Brain-inspired computing aims to mimic cognitive functions like associative memory, the ability to recall complete patterns from partial cues. Memristor technology offers promising hardware for such […]

Zoom Link: https://hku.zoom.us/j/9706928305?omn=95929409545 Abstract Accurate fabric alignment is essential in garment manufacturing, yet remains a challenging and labor-intensive task. This work presents a novel automated fabric alignment system that integrates […]

Zoom Link:  https://hku.zoom.us/j/94531714904 Abstract The rapid proliferation of AI applications in the 6G era calls for efficient support of edge intelligence, where models must be cached and executed at the […]

Zoom Link: https://hku.zoom.us/j/94531714904 Abstract The next-generation mobile network aims to natively support distributed intelligence, such as federated learning, across massive wireless edge devices. Unfortunately, in the era of large models, […]

Zoom Link: https://hku.zoom.us/j/99378601502?pwd=bKeW5GqjRbFRaQFLBmZmTBJHPSdKBf.1 Abstract Solving complex combinatorial optimization problems is a fundamental challenge that pushes conventional digital computers to their limits. While some physics-based computing approaches offer a promising alternative, […]

Zoom Link:https://hku.zoom.us/j/97594921448?pwd=0AyvpTWODP87uNjZhADkvcGRrXh3V7.1 Abstract The recently emerged movable antenna (MA) and Fluid antenna (FA) show great potential in leveraging spatial degrees of freedom for enhancing the performance of wireless systems. In […]

Zoom Link: https://hku.zoom.us/j/96125660975?pwd=yg6g1tnX9xobocust8dUATRUcIan5q.1 Abstract The rapid advancement of artificial intelligence has raised concerns regarding its trustworthiness, especially in terms of interpretability and robustness. Tree-based models like Random Forest and XGBoost […]

Zoom Link: https://hku.zoom.us/j/8957840635?pwd=jB4IyfmX0hTbEjn9W0LVEs31VhDw0e.1&omn=97635631185 Abstract The proliferation of distributed energy resources presents significant coordination challenges due to their scale and variability. While traditional centralized methods are hindered by high communication and […]

Zoom Link: https://hku.zoom.us/j/93194207095?pwd=se5Jt0b8jIM7nz3yy9YZdNrWJIm818.1 Abstract This seminar introduces two complementary pruning strategies implemented directly on RRAM-based compute-in-memory hardware. The first approach uses the intrinsic randomness of analog RRAM electroforming to build […]

Zoom Link: https://hku.zoom.us/j/99109748447?pwd=JSHjhMjma2hylEHbOCcLr3fJRCOoJq.1 Abstract This seminar presents novel solutions to tackle instability and redundancy in modern generative models. We first address the high-variance optimization challenges in Conditional Flow Matching (CFM) […]

Zoom Link: https://hku.zoom.us/j/98873959228 Abstract Accurate load forecasting is fundamental to the stability and efficiency of modern power grids. While collaborative approaches that leverage multi-party data sharing can significantly enhance forecasting […]

Zoom Link: https://hku.zoom.us/j/94936719507?pwd=ceXhzS1htWuwj8oG0vJGQLS3JMpVwF.1 Abstract The reliable operation and strategic planning of smart grids are critically dependent on high-fidelity time series data. However, the increasing stochasticity of both energy supply and […]

Zoom Link: https://hku.zoom.us/j/92603659701 Abstract In the context of digital transformation of the energy system, how to effectively manage and quantify the uncertainty in forecasting has become a key bottleneck that […]

Zoom Link: https://hku.zoom.us/j/99852061481?pwd=QAsfylVs3cR4U1q4B4fczaBQpbyzKl.1 Abstract With the digitalization of smart grids, data becomes vital for advanced applications like load forecasting, energy management, and demand response. To unlock its full potential, the critical […]

Zoom Link: https://hku.zoom.us/j/99712347936?pwd=P2oHpewBKizDaTJNY9m4YowNQLZfaP.1 Abstract High-throughput dynamic imaging must recover fine spatial structure under rapid motion, yet no conventional sensor can fully overcome the trade-offs between spatial resolution, temporal resolution, and […]

Zoom Link: https://hku.zoom.us/j/96497087839?pwd=5X1msaxhZNiH87SuzGTPgQHZILJmgi.1 Abstract Machine learning has advanced unprecedentedly, exemplified by GPT-4 and SORA. However, they cannot parallel human brains in efficiency and adaptability due to differences in signal representation, […]

Zoom Link: https://hku.zoom.us/j/92646013468?pwd=lkoH511LkjLHtW43awHeBpEVnLfZ7b.1 Abstract Supervised deep learning has revolutionized computational imaging but relies heavily on vast datasets of clean, ground-truth images, which are often challenging to acquire in practice. This […]