Tootfinder

Can all German genocide deniers please get the fuck out of my mentions.
Genocide denial is the last and final stage of genocide and constitutes complicity in genocide.
Matze Schmidt, you are complicit in genocide.
And history is taking notes.
https://masto.ai/@matzeschmidt/1150655

Die Firma #SAIC verkauft den #MG4 und verbaut dort Open-Source-Software. Zu den Autos gibt es weder Lizenztexte noch Quellcode. Rechtsanwalt Chan-jo Jun klagt jetzt gegen die Firma und möchte gern ein Fahrzeug mit lizenzkonformer #Software

Lecture: Yen-yi Chan, “Presence and Performance: Devotional Images of Shaka and His Sacred Body in Medieval Nara” (Kanagawa U., Wed., 24 Sept, 3:30–5pm; in-person only)
https://ift.tt/WXV1OpP
Summer 2026 Vietnamese Language Study with Indiana University Kathleen Evans 09/19/2025 - 9:31am …
via Input 4…

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
George Frideric Handel, Charles Mackerras, BBC Symphony Orchestra & Elim Chan:
🎵 Overture from 'Music for the Royal Fireworks in D major, HWV.351'
#GeorgeFridericHandel
https://open.spotify.com/track/6uQdRndhpEXxy3ogHvxG9C

Incident Analysis for AI Agents
Carson Ezell, Xavier Roberts-Gaal, Alan Chan
https://arxiv.org/abs/2508.14231 https://arxiv.org/pdf/2508.14231

Incident Analysis for AI Agents
As AI agents become more widely deployed, we are likely to see an increasing number of incidents: events involving AI agent use that directly or indirectly cause harm. For example, agents could be prompt-injected to exfiltrate private information or make unauthorized purchases. Structured information about such incidents (e.g., user prompts) can help us understand their causes and prevent future occurrences. However, existing incident reporting processes are not sufficient for understanding age…

K-rings of smooth toric varieties via piecewise-exponential functions
Melody Chan, Emily Clader, Caroline Klivans, Dustin Ross
https://arxiv.org/abs/2507.13610

K-rings of smooth toric varieties via piecewise-exponential functions
We describe an explicit presentation of the ring of integral piecewise-exponential functions on a unimodular fan as a quotient of the Stanley-Reisner ring of the fan. This gives rise to a presentation of K-rings of smooth toric varieties that is parallel to the well-known presentation of integral Chow rings as quotients of Stanley-Reisner rings.

Diverse Negative Sampling for Implicit Collaborative Filtering
Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan
https://arxiv.org/abs/2508.14468 https://

Diverse Negative Sampling for Implicit Collaborative Filtering
Implicit collaborative filtering recommenders are usually trained to learn user positive preferences. Negative sampling, which selects informative negative items to form negative training data, plays a crucial role in this process. Since items are often clustered in the latent space, existing negative sampling strategies normally oversample negative items from the dense regions. This leads to homogeneous negative data and limited model expressiveness. In this paper, we propose Diverse Negative …

Lecture: Yen-yi Chan, “Presence and Performance: Devotional Images of Shaka and His Sacred Body in Medieval Nara” (Kanagawa U., Wed., 24 Sept, 3:30–5pm; in-person only)
https://ift.tt/kwlQfiU
Summer 2026 Vietnamese Language Study with Indiana University Kathleen Evans 09/19/2025 - 9:31am …
via Input 4…

Crosslisted article(s) found for math.AT. https://arxiv.org/list/math.AT/new
[1/1]:
- The algebraic $K$-theory of Green functors
David Chan, Noah Wisdom
https:/…

Toward Practical Fluid Antenna Systems: Co-Optimizing Hardware and Software for Port Selection and Beamforming
Sai Xu, Kai-Kit Wong, Yanan Du, Hanjiang Hong, Chan-Byoung Chae, Baiyang Liu, Kin-Fai Tong
https://arxiv.org/abs/2507.14035

Toward Practical Fluid Antenna Systems: Co-Optimizing Hardware and Software for Port Selection and Beamforming
This paper proposes a hardware-software co-design approach to efficiently optimize beamforming and port selection in fluid antenna systems (FASs). To begin with, a fluid-antenna (FA)-enabled downlink multi-cell multiple-input multiple-output (MIMO) network is modeled, and a weighted sum-rate (WSR) maximization problem is formulated. Second, a method that integrates graph neural networks (GNNs) with random port selection (RPS) is proposed to jointly optimize beamforming and port selection, while…

Astrophysical or Terrestrial: Machine learning classification of gravitational-wave candidates using multiple-search information
Seiya Tsukamoto, Andrew Toivonen, Holton Griffin, Avyukt Raghuvanshi, Megan Averill, Frank Kerkow, Michael W. Coughlin, Man Leong Chan, Leo Singer
https://arxiv.org/abs/2508.14242…

Astrophysical or Terrestrial: Machine learning classification of gravitational-wave candidates using multiple-search information
Low-latency gravitational-wave alerts provide the greater multi-messenger community with information about the candidate events detected by the International Gravitational-Wave Network (IGWN). Prompt release of data products such as the sky localization, false alarm rate (FAR), and $p_\mathrm{astro}$ values allow astronomers to make informed decisions on which candidate gravitational-wave events merit target of opportunity (ToO) follow-up. However, false alarms, often referred to as "glitches",…

A predictive model for bubble-particle collisions in turbulence
Timothy T. K. Chan (Physics of Fluids Group, University of Twente), Linfeng Jiang (Physics of Fluids Group, University of Twente, Institute of Aerodynamics, RWTH Aachen University), Dominik Krug (Physics of Fluids Group, University of Twente, Institute of Aerodynamics, RWTH Aachen University)

A predictive model for bubble-particle collisions in turbulence
The modelling of bubble-particle collisions is crucial to improving the efficiency of industrial processes such as froth flotation. Although such systems usually have turbulent flows and the bubbles are typically much larger than the particles, there currently exist no predictive models for this case which consistently include finite-size effects in the interaction with the bubbles as well as inertial effects for the particles simultaneously. As a first step, Jiang and Krug (J. Fluid Mech., vol…

Algorithms for Stable Roommate with Externalities
Jing Leng, Sanjukta Roy
https://arxiv.org/abs/2508.14194 https://arxiv.org/pdf/2508.14194

Algorithms for Stable Roommate with Externalities
In the roommate matching model, given a set of 2n agents and n rooms, we find an assignment of a pair of agents to a room. Although the roommate matching problem is well studied, the study of the model when agents have preference over both rooms and roommates was recently initiated by Chan et al. [11]. We study two types of stable roommate assignments, namely, 4-person stable (4PS) and 2-person stable (2PS) in conjunction with efficiency and strategy-proofness. We design a simple serial dictato…

SPARCS -- combining radiation hydrodynamics with non-equilibrium metal chemistry in the SWIFT astrophysical code
Tsang Keung Chan, Alexander J. Richings, Tom Theuns, Yuankang Liu, Matthieu Schaller, Mladen Ivkovic
https://arxiv.org/abs/2508.13277

SPARCS -- combining radiation hydrodynamics with non-equilibrium metal chemistry in the SWIFT astrophysical code
We present SPARCS, which combines the moment-based radiative transfer method SPH-M1RT with the non-equilibrium metal chemistry solver CHIMES in the modern highly-parallel astrophysical code SWIFT. SPARCS enables on-the-fly radiation hydrodynamics simulations, with multi-frequency ultraviolet radiative transfer coupled with all ionisation states of 11 major elements, in the presence of dust, cosmic ray ionization and heating, and self-gravity. Direct radiation pressure on gas and dust is also ac…

🔊 #NowPlaying on #BBCRadio3:
#ThroughTheNight
- BBC Proms 2024: First Night
Elim Chan leads the BBC Symphony Orchestra in Clara Schumann's piano concerto with Isata Kanneh-Mason with Beethoven's Fifth Symphony, as well as Ben Nobuto's Hallelujah Sim.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002jfzc

Replaced article(s) found for astro-ph.IM. https://arxiv.org/list/astro-ph.IM/new
[1/1]:
- GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wa...
Raza, Chan, Haggard, Mahabal, McIver, Durand, Larouche, Moazen

The algebraic $K$-theory of Green functors
David Chan, Noah Wisdom
https://arxiv.org/abs/2508.14207 https://arxiv.org/pdf/2508.14207

The algebraic $K$-theory of Green functors
In this paper we develop computational tools to study the higher algebraic $K$-theory of Green functors. We construct a spectral sequence converging to the algebraic $\mathbb{G}$-theory of any $G$-Green functor, for $G$ a cyclic $p$-group. From the spectral sequence we deduce a complete calculation of the algebraic $K$-theory of the constant $C_2$-Green functor associated to the field with two elements, and a calculation of the $p$-completion of the algebraic $K$-theory of the constant $G$-Gree…

Einige der zuletzt hier besonders häufig geteilten #News:
"Ohne Zynismus nicht erklärtbar" - Anwalt Chan-jo Jun zum Facebook-Urteil

anime where a quirky group of drugsonas has to stop lsd-chan's involvement in mkultra

Landmark-Assisted Monte Carlo Planning
David H. Chan, Mark Roberts, Dana S. Nau
https://arxiv.org/abs/2508.11493 https://arxiv.org/pdf/2508.11493

Landmark-Assisted Monte Carlo Planning
Landmarks$\unicode{x2013}$conditions that must be satisfied at some point in every solution plan$\unicode{x2013}$have contributed to major advancements in classical planning, but they have seldom been used in stochastic domains. We formalize probabilistic landmarks and adapt the UCT algorithm to leverage them as subgoals to decompose MDPs; core to the adaptation is balancing between greedy landmark achievement and final goal achievement. Our results in benchmark domains show that well-chosen la…

Indoor Fluid Antenna Systems Enabled by Layout-Specific Modeling and Group Relative Policy Optimization
Tong Zhang, Qianren Li, Shuai Wang, Wanli Ni, Jiliang Zhang, Rui Wang, Kai-Kit Wong, Chan-Byoung Chae
https://arxiv.org/abs/2509.15006

Indoor Fluid Antenna Systems Enabled by Layout-Specific Modeling and Group Relative Policy Optimization
The fluid antenna system (FAS) revolutionizes wireless communications by employing position-flexible antennas that dynamically optimize channel conditions and mitigate multipath fading. This innovation is particularly valuable in indoor environments, where signal propagation is severely degraded due to structural obstructions and complex multipath reflections. In this paper, we study the channel modeling and joint optimization of antenna positioning, beamforming, and power allocation for indoor…

LamiGauss: Pitching Radiative Gaussian for Sparse-View X-ray Laminography Reconstruction
Chu Chen, Ander Biguri, Jean-Michel Morel, Raymond H. Chan, Carola-Bibiane Sch\"onlieb, Jizhou Li
https://arxiv.org/abs/2509.13863

LamiGauss: Pitching Radiative Gaussian for Sparse-View X-ray Laminography Reconstruction
X-ray Computed Laminography (CL) is essential for non-destructive inspection of plate-like structures in applications such as microchips and composite battery materials, where traditional computed tomography (CT) struggles due to geometric constraints. However, reconstructing high-quality volumes from laminographic projections remains challenging, particularly under highly sparse-view acquisition conditions. In this paper, we propose a reconstruction algorithm, namely LamiGauss, that combines G…

Retrieval-augmented reasoning with lean language models
Ryan Sze-Yin Chan, Federico Nanni, Tomas Lazauskas, Rosie Wood, Penelope Yong, Lionel Tarassenko, Mark Girolami, James Geddes, Andrew Duncan
https://arxiv.org/abs/2508.11386

Retrieval-augmented reasoning with lean language models
This technical report details a novel approach to combining reasoning and retrieval augmented generation (RAG) within a single, lean language model architecture. While existing RAG systems typically rely on large-scale models and external APIs, our work addresses the increasing demand for performant and privacy-preserving solutions deployable in resource-constrained or secure environments. Building on recent developments in test-time scaling and small-scale reasoning models, we develop a retrie…

Inside science labs trying to survive in the Trump era
Anastasia Khvorova is perched at the edge of a massive scientific opportunity.
Her laboratory at the University of Massachusetts Chan Medical School deploys cutting-edge RNA biology with one aim:
to cure diseases — the ones that rob people of their memories or endanger pregnant women.

Lately, she sees peril all around her.

In the hallway, she bumps into one world-class chemist, then another, whose salaries…

Inside science labs trying to survive in the Trump era
Anastasia Khvorova’s lab at U-Mass. Chan Medical School shows how quickly the administration is dismantling an 80-year partnership that made the U.S. a scientific superpower.

China says Nvidia was found in violation of antitrust regulations in a preliminary investigation, in a brief statement without further details (Edwin Chan/Bloomberg)
https://www.bloomberg.com/news/articles/2025-09-15/china-find…

Lecture: Yen-yi Chan, “Presence and Performance: Devotional Images of Shaka and His Sacred Body in Medieval Nara” (Kanagawa U., Wed., 24 Sept, 3:30–5pm; in-person only) https://networks.h-net.org/group/announcements/20125…

Crosslisted article(s) found for astro-ph.IM. https://arxiv.org/list/astro-ph.IM/new
[1/1]:
- SPARCS -- combining radiation hydrodynamics with non-equilibrium metal chemistry in the SWIFT ast...
Tsang Keung Chan, Alexander J. Richings, Tom Theuns, Yuankang Liu, Matthieu Schaller, Mlad…

ℹ️ Beitrag im Liveblog gelöscht oder nicht zuordenbar, es folgt die alte Version:
Israelisches Militär ordnet neue Evakuierungen in Chan Junis an
Das israelische Militär hat die Räumung weiterer Gebiete im Gazastreifen angeordnet. Es forderte Menschen im Nordwesten der Stadt Chan Junis auf, die Gegend in Richtung Westen zu verlassen, weil in der Stadt Militäreinsätze gegen die militant-islamistische Hamas geplant seien. Die n…
📑

Ukraine-Liveblog: ++ AKW Saporischschja laut IAEA ohne Strom ++
Das von Russland besetzte Atomkraftwerk Saporischschja hat der Internationalen Atomenergiebehörde (IAEA) zufolge die externe Stromversorgung verloren. US-Präsident Trump will offenbar mit der Ukraine bei der Luftverteidigung zusammenarbeiten.

Transforming Football Data into Object-centric Event Logs with Spatial Context Information
Vito Chan, Lennart Ebert, Paul-Julius Hillmann, Christoffer Rubensson, Stephan A. Fahrenkrog-Petersen, Jan Mendling
https://arxiv.org/abs/2507.12504

Transforming Football Data into Object-centric Event Logs with Spatial Context Information
Object-centric event logs expand the conventional single-case notion event log by considering multiple objects, allowing for the analysis of more complex and realistic process behavior. However, the number of real-world object-centric event logs remains limited, and further studies are needed to test their usefulness. The increasing availability of data from team sports can facilitate object-centric process mining, leveraging both real-world data and suitable use cases. In this paper, we presen…

LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference
Po-Han Lee, Yu-Cheng Lin, Chan-Tung Ku, Chan Hsu, Pei-Cing Huang, Ping-Hsun Wu, Yihuang Kang
https://arxiv.org/abs/2508.07221

LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference
Estimating individualized treatment effects from observational data presents a persistent challenge due to unmeasured confounding and structural bias. Causal Machine Learning (causal ML) methods, such as causal trees and doubly robust estimators, provide tools for estimating conditional average treatment effects. These methods have limited effectiveness in complex real-world environments due to the presence of latent confounders or those described in unstructured formats. Moreover, reliance on …

Early Detection of Furniture-Infesting Wood-Boring Beetles Using CNN-LSTM Networks and MFCC-Based Acoustic Features
J. M. Chan Sri Manukalpa, H. S. Bopage, W. A. M. Jayawardena, P. K. P. G. Panduwawala
https://arxiv.org/abs/2507.12793

Early Detection of Furniture-Infesting Wood-Boring Beetles Using CNN-LSTM Networks and MFCC-Based Acoustic Features
Structural pests, such as termites, pose a serious threat to wooden buildings, resulting in significant economic losses due to their hidden and progressive damage. Traditional detection methods, such as visual inspections and chemical treatments, are invasive, labor intensive, and ineffective for early stage infestations. To bridge this gap, this study proposes a non invasive deep learning based acoustic classification framework for early termite detection. We aim to develop a robust, scalable …

A TRRIP Down Memory Lane: Temperature-Based Re-Reference Interval Prediction For Instruction Caching
Henry Kao, Nikhil Sreekumar, Prabhdeep Singh Soni, Ali Sedaghati, Fang Su, Bryan Chan, Maziar Goudarzi, Reza Azimi
https://arxiv.org/abs/2509.14041

A TRRIP Down Memory Lane: Temperature-Based Re-Reference Interval Prediction For Instruction Caching
Modern mobile CPU software pose challenges for conventional instruction cache replacement policies due to their complex runtime behavior causing high reuse distance between executions of the same instruction. Mobile code commonly suffers from large amounts of stalls in the CPU frontend and thus starvation of the rest of the CPU resources. Complexity of these applications and their code footprint are projected to grow at a rate faster than available on-chip memory due to power and area constrain…

Einige der zuletzt hier besonders häufig geteilten #News:
"Ohne Zynismus nicht erklärtbar" - Anwalt Chan-jo Jun zum Facebook-Urteil

Fluid Dynamics and Domain Reconstruction from Noisy Flow Images Using Physics-Informed Neural Networks and Quasi-Conformal Mapping
Han Zhang, Xue-Cheng Tai, Jean-Michel Morel, Raymond H. Chan
https://arxiv.org/abs/2508.11216

Fluid Dynamics and Domain Reconstruction from Noisy Flow Images Using Physics-Informed Neural Networks and Quasi-Conformal Mapping
Blood flow imaging provides important information for hemodynamic behavior within the vascular system and plays an essential role in medical diagnosis and treatment planning. However, obtaining high-quality flow images remains a significant challenge. In this work, we address the problem of denoising flow images that may suffer from artifacts due to short acquisition times or device-induced errors. We formulate this task as an optimization problem, where the objective is to minimize the discrep…

Lecture: Yen-yi Chan, “Presence and Performance: Devotional Images of Shaka and His Sacred Body in Medieval Nara” (Kanagawa U., Wed., 24 Sept, 3:30–5pm; in-person only) https://networks.h-net.org/group/announcements/20125…

Crosslisted article(s) found for cs.OS. https://arxiv.org/list/cs.OS/new
[1/1]:
- A TRRIP Down Memory Lane: Temperature-Based Re-Reference Interval Prediction For Instruction Caching
Kao, Sreekumar, Soni, Sedaghati, Su, Chan, Goudarzi, Azimi

Classification of three-dimensional Nijenhuis Leibniz algebras
Tianshui Ma, Chan Zhao
https://arxiv.org/abs/2507.12692 https://arxiv.…

Classification of three-dimensional Nijenhuis Leibniz algebras
There are thirteen types of three-dimensional Leibniz algebras over the real field $\mathbb{R}$ based on the classification given by S. Ayupov, B. Omirov and I. Rakhimov in [Leibniz algebras: structure and classification. CRC Press, Boca Raton, FL, 2020]. In this paper, we investigate all the Nijenhuis operators on these thirteen types of three-dimensional Leibniz algebras.

Murmurations using Petersson trace formula
Chan Ieong Kuan, Didier Lesesvre
https://arxiv.org/abs/2507.11418 https://arxiv.org/pdf/25…

Murmurations using Petersson trace formula
We prove the murmuration phenomenon, which is a correlation between signs of functional equations and Fourier coefficients, in the case of modular forms in the weight aspect. We in particular improve the range of visibility of murmurations compared to previous results. This is the first approach to the murmuration phenomenon using a relative trace formula, showing its robustness.

Generative AI for Misalignment-Resistant Virtual Staining to Accelerate Histopathology Workflows
Jiabo MA, Wenqiang Li, Jinbang Li, Ziyi Liu, Linshan Wu, Fengtao Zhou, Li Liang, Ronald Cheong Kin Chan, Terence T. W. Wong, Hao Chen
https://arxiv.org/abs/2509.14119

Generative AI for Misalignment-Resistant Virtual Staining to Accelerate Histopathology Workflows
Accurate histopathological diagnosis often requires multiple differently stained tissue sections, a process that is time-consuming, labor-intensive, and environmentally taxing due to the use of multiple chemical stains. Recently, virtual staining has emerged as a promising alternative that is faster, tissue-conserving, and environmentally friendly. However, existing virtual staining methods face significant challenges in clinical applications, primarily due to their reliance on well-aligned pai…

LubDubDecoder: Bringing Micro-Mechanical Cardiac Monitoring to Hearables
Siqi Zhang, Xiyuxing Zhang, Duc Vu, Tao Qiang, Clara Palacios, Jiangyifei Zhu, Yuntao Wang, Mayank Goel, Justin Chan
https://arxiv.org/abs/2509.10764

LubDubDecoder: Bringing Micro-Mechanical Cardiac Monitoring to Hearables
We present LubDubDecoder, a system that enables fine-grained monitoring of micro-cardiac vibrations associated with the opening and closing of heart valves across a range of hearables. Our system transforms the built-in speaker, the only transducer common to all hearables, into an acoustic sensor that captures the coarse "lub-dub" heart sounds, leverages their shared temporal and spectral structure to reconstruct the subtle seismocardiography (SCG) and gyrocardiography (GCG) waveforms, and extr…

Bitcoin Cross-Chain Bridge: A Taxonomy and Its Promise in Artificial Intelligence of Things
Guojun Tang, Carylyne Chan, Ning Nan, Spencer Yang, Jiayu Zhou, Henry Leung, Mohammad Mamun, Steve Drew
https://arxiv.org/abs/2509.10413

Bitcoin Cross-Chain Bridge: A Taxonomy and Its Promise in Artificial Intelligence of Things
Bitcoin's limited scripting capabilities and lack of native interoperability mechanisms have constrained its integration into the broader blockchain ecosystem, especially decentralized finance (DeFi) and multi-chain applications. This paper presents a comprehensive taxonomy of Bitcoin cross-chain bridge protocols, systematically analyzing their trust assumptions, performance characteristics, and applicability to the Artificial Intelligence of Things (AIoT) scenarios. We categorize bridge design…

Heterogeneous Bribery, Technology Choice, and Capital Accumulation
Jafar M. Olimov, Yi-Chan Tsai, Hao-Yu Yang
https://arxiv.org/abs/2507.13124 https://

Heterogeneous Bribery, Technology Choice, and Capital Accumulation
We study the production, entry, and technological decisions of firms in the presence of bribery. We find that bribery can be justified even in the absence of bureaucratic inefficiencies. We document substantial technology-specific heterogeneity in bribery in 148 countries and incorporate it into a general equilibrium model, where firms use capital-intensive or labor-intensive technology. When bribery more heavily affects less efficient labor-intensive firms, resources move toward more efficient…

Crosslisted article(s) found for cs.PF. https://arxiv.org/list/cs.PF/new
[1/1]:
- A TRRIP Down Memory Lane: Temperature-Based Re-Reference Interval Prediction For Instruction Caching
Kao, Sreekumar, Soni, Sedaghati, Su, Chan, Goudarzi, Azimi

Replaced article(s) found for cs.RO. https://arxiv.org/list/cs.RO/new
[1/2]:
- Traversability analysis with vision and terrain probing for safe legged robot navigation
Haddeler, Chuah, You, Chan, Adiwahono, Yau, Chew

How Easterners and Westerners perceive ADHD differently
Xing-Chan Lin (Department of Computer Science,Psychology, University of Cyprus,Open University of Cyprus)
https://arxiv.org/abs/2509.10549

How Easterners and Westerners perceive ADHD differently
Attention Deficit Hyperactivity Disorder has traditionally been conceptualized as a neurodevelopmental condition associated with deficits such as inattention, impulsivity, and poor time management. Such perspectives often emphasize pathology and functional limitations. More recent scholarship, however, has begun to reconceptualize ADHD by identifying potential adaptive characteristics, including heightened energy, periods of hyperfocus, and advanced cognitive flexibility. A growing body of qual…

Crosslisted article(s) found for cs.MM. https://arxiv.org/list/cs.MM/new
[1/1]:
- A Traditional Approach to Symbolic Piano Continuation
Zhou-Zheng, Backsund, Chan, Coventry, Eslami, Goel, Han, Soomro, Wei

SV-Mixer: Replacing the Transformer Encoder with Lightweight MLPs for Self-Supervised Model Compression in Speaker Verification
Jungwoo Heo, Hyun-seo Shin, Chan-yeong Lim, Kyo-won Koo, Seung-bin Kim, Jisoo Son, Ha-Jin Yu
https://arxiv.org/abs/2509.14136

SV-Mixer: Replacing the Transformer Encoder with Lightweight MLPs for Self-Supervised Model Compression in Speaker Verification
Self-supervised learning (SSL) has pushed speaker verification accuracy close to state-of-the-art levels, but the Transformer backbones used in most SSL encoders hinder on-device and real-time deployment. Prior compression work trims layer depth or width yet still inherits the quadratic cost of self-attention. We propose SV-Mixer, the first fully MLP-based student encoder for SSL distillation. SV-Mixer replaces Transformer with three lightweight modules: Multi-Scale Mixing for multi-resolution …

Mind the Gap: Aligning Knowledge Bases with User Needs to Enhance Mental Health Retrieval
Amanda Chan, James Jiayu Liu, He Kai, Onno P. Kampman
https://arxiv.org/abs/2509.13626 …

Mind the Gap: Aligning Knowledge Bases with User Needs to Enhance Mental Health Retrieval
Access to reliable mental health information is vital for early help-seeking, yet expanding knowledge bases is resource-intensive and often misaligned with user needs. This results in poor performance of retrieval systems when presented concerns are not covered or expressed in informal or contextualized language. We present an AI-based gap-informed framework for corpus augmentation that authentically identifies underrepresented topics (gaps) by overlaying naturalistic user data such as forum po…

Graph-based Fingerprint Update Using Unlabelled WiFi Signals
Ka Ho Chiu, Handi Yin, Weipeng Zhuo, Chul-Ho Lee, S. -H. Gary Chan
https://arxiv.org/abs/2507.11038

Graph-based Fingerprint Update Using Unlabelled WiFi Signals
WiFi received signal strength (RSS) environment evolves over time due to movement of access points (APs), AP power adjustment, installation and removal of APs, etc. We study how to effectively update an existing database of fingerprints, defined as the RSS values of APs at designated locations, using a batch of newly collected unlabelled (possibly crowdsourced) WiFi signals. Prior art either estimates the locations of the new signals without updating the existing fingerprints or filters out the…

Can We Predict Alignment Before Models Finish Thinking? Towards Monitoring Misaligned Reasoning Models
Yik Siu Chan, Zheng-Xin Yong, Stephen H. Bach
https://arxiv.org/abs/2507.12428

Can We Predict Alignment Before Models Finish Thinking? Towards Monitoring Misaligned Reasoning Models
Open-weights reasoning language models generate long chains-of-thought (CoTs) before producing a final response, which improves performance but introduces additional alignment risks, with harmful content often appearing in both the CoTs and the final outputs. In this work, we investigate if we can use CoTs to predict final response misalignment. We evaluate a range of monitoring approaches, including humans, highly-capable large language models, and text classifiers, using either CoT text or ac…

Replaced article(s) found for cs.CG. https://arxiv.org/list/cs.CG/new
[1/1]:
- Mechanism Design for Automated Market Makers
T-H. Hubert Chan, Ke Wu, Elaine Shi
ht…

Limited access to healthy foods may raise childhood asthma risk https://hsph.harvard.edu/news/limited-access-to-healthy-foods-may-raise-childhood-asthma-risk/

Limited access to healthy foods may raise childhood asthma risk | Harvard T.H. Chan School of Public Health
Living in neighborhoods with limited access to grocery stores—and thus nutritious foods—can increase children’s risk of asthma, according to a study.

These 14 companies account for a third of global warming - who are they | The Independent
https://www.independent.co.uk/climate-change/news/global-warming-heatwaves-fossil-fuel-europe-b2823812.html

Crosslisted article(s) found for eess.IV. https://arxiv.org/list/eess.IV/new
[1/1]:
- Glorbit: A Modular, Web-Based Platform for AI Based Periorbital Measurement in Low-Resource Settings
Nahass, van der Ende, Hubschman, Beltran, Kolli, Berek, Edmonds, Chan, Setabutr, Larrick, Yi, Tran

Adaptive and robust smartphone-based step detection in multiple sclerosis
Lorenza Angelini, Dimitar Stanev, Marta P{\l}onka, Rafa{\l} Klimas, Natan Napi\'orkowski, Gabriela Gonz\'alez Chan, Lisa Bunn, Paul S Glazier, Richard Hosking, Jenny Freeman, Jeremy Hobart, Jonathan Marsden, Licinio Craveiro, Mike D Rinderknecht, Mattia Zanon
https://

Adaptive and robust smartphone-based step detection in multiple sclerosis
Background: Many attempts to validate gait pipelines that process sensor data to detect gait events have focused on the detection of initial contacts only in supervised settings using a single sensor. Objective: To evaluate the performance of a gait pipeline in detecting initial/final contacts using a step detection algorithm adaptive to different test settings, smartphone wear locations, and gait impairment levels. Methods: In GaitLab (ISRCTN15993728), healthy controls (HC) and people with mul…

Predictive Free Energy Simulations Through Hierarchical Distillation of Quantum Hamiltonians
Chenghan Li, Garnet Kin-Lic Chan
https://arxiv.org/abs/2509.10967 https://

Predictive Free Energy Simulations Through Hierarchical Distillation of Quantum Hamiltonians
Obtaining the free energies of condensed phase chemical reactions remains computationally prohibitive for high-level quantum mechanical methods. We introduce a hierarchical machine learning framework that bridges this gap by distilling knowledge from a small number of high-fidelity quantum calculations into increasingly coarse-grained, machine-learned quantum Hamiltonians. By retaining explicit electronic degrees of freedom, our approach further enables a faithful embedding of quantum and class…

The Star Formation History and Evolution of the Ultra-Diffuse M81 Satellite, F8D1
Adam Smercina, Eric F. Bell, Benjamin F. Williams, Benjamin N. Velguth, Sarah Pearson, Jeremy Bailin, Tsang Keung Chan, Julianne J. Dalcanton, Roelof S. de Jong, Richard D'Souza, Andrew Dolphin, Puragra Guhathakurta, Kristen B. W. McQuinn, Antonela Monachesi, Colin T. Slater, Elisa Toloba, Daniel R. Weisz, Andrew Wetzel

The Star Formation History and Evolution of the Ultra-Diffuse M81 Satellite, F8D1
We present deep HST imaging of one of the nearest ultra-diffuse galaxies (UDGs) outside of the Local Group: F8D1, a satellite of M81 known to be tidally disrupting. UDGs are an enigmatic and diverse population, with evolutionary pathways ranging from tidal processing to bursty feedback and high initial angular momentum. To determine F8D1's evolutionary drivers, we resolve stars in F8D1's central $\sim$1 kpc and in a parallel field $\sim$6 kpc along its major axis to deep photometric limits, rea…

A Traditional Approach to Symbolic Piano Continuation
Christian Zhou-Zheng, John Backsund, Dun Li Chan, Alex Coventry, Avid Eslami, Jyotin Goel, Xingwen Han, Danysh Soomro, Galen Wei
https://arxiv.org/abs/2509.12267

A Traditional Approach to Symbolic Piano Continuation
We present a traditional approach to symbolic piano music continuation for the MIREX 2025 Symbolic Music Generation challenge. While computational music generation has recently focused on developing large foundation models with sophisticated architectural modifications, we argue that simpler approaches remain more effective for constrained, single-instrument tasks. We thus return to a simple, unaugmented next-token-prediction objective on tokenized raw MIDI, aiming to outperform large foundatio…

Generating 10 GW-class isolated zeptosecond x-ray bursts through bootstrapping two plasma-based accelerator stages
Qianyi Ma, Yuhui Xia, Zhenan Wang, Yuekai Chen, Letian Liu, Zhiyan Yang, Chao Feng, Xinlu Xu, Xueqing Yan, Chan Joshi, Warren B. Mori
https://arxiv.org/abs/2509.13937

Generating 10 GW-class isolated zeptosecond x-ray bursts through bootstrapping two plasma-based accelerator stages
A method is proposed to generate coherent, intense zeptosecond x-ray pulses by using the electron beam produced by a laser wakefield accelerator (LWFA) stage as the driver for a beam driven plasma wakefield accelerator (PWFA) stage. The LWFA injector stage requires a readily available 100 TW laser driver to produce a GeV class self-injected electron beam. This beam is focused and used as the driver in a PWFA stage that utilizes a solid-density plasma with a modulated density downramp. The conce…

Anomalous diffusion in coupled viscoelastic media: A fractional Langevin equation approach
Chan Lim, Jae-Hyung Jeon
https://arxiv.org/abs/2507.08291 https:…

Anomalous diffusion in coupled viscoelastic media: A fractional Langevin equation approach
Anomalous diffusion often arises in complex environments where viscoelastic or crowded conditions influence particle motion. In many biological and soft-matter systems, distinct components of the medium exhibit unique viscoelastic responses, resulting in time-dependent changes in the observed diffusion exponents. Here, we develop a theoretical model of two particles, each embedded in a distinct viscoelastic medium, and coupled via a harmonic potential. By formulating and solving a system of cou…

A recent study found nearly four in five children aged under 12 in the UK experience ecoanxiety,
fear of the state of the climate in the future
https://www.independent.co.uk/climate-change/news/greenpeace-children-homes-b2690913.h…

Eco-anxiety rife among children as 78% found to be worried about climate change
As Children’s Mental Health Week kicks off, Greenpeace has released guidance on having conversations with young people about the climate crisis.

Nonlinear Systems in Wireless Power Transfer Applications
H Chan
https://arxiv.org/abs/2508.07627 https://arxiv.org/pdf/2508.07627

Nonlinear Systems in Wireless Power Transfer Applications
As a novel pattern of energization, the wireless power transfer (WPT) offers a brand-new way to the energy acquisition for electric-driven devices, thus alleviating the over-dependence on the battery. This report presents three types of WPT systems that use nonlinear control methods, in order to acquire an in-depth understanding of the course of Nonlinear Systems.

Replaced article(s) found for gr-qc. https://arxiv.org/list/gr-qc/new
[1/2]:
- TESLA-X: An effective method to search for sub-threshold lensed gravitational waves with a target...
Li, Chan, Fong, Chong, Weinstein, Ezquiaga

Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery
Benjamin S. Allen, James Anchell, Victor Anisimov, Thomas Applencourt, Abhishek Bagusetty, Ramesh Balakrishnan, Riccardo Balin, Solomon Bekele, Colleen Bertoni, Cyrus Blackworth, Renzo Bustamante, Kevin Canada, John Carrier, Christopher Chan-nui, Lance C. Cheney, Taylor Childers, Paul Coffman, Susan Coghlan, Michael D'Mello, Murali Emani, Kyle G. Felker, Sam Foreman, Olivier Franza,…

Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery
Aurora is Argonne National Laboratory's pioneering Exascale supercomputer, designed to accelerate scientific discovery with cutting-edge architectural innovations. Key new technologies include the Intel(TM) Xeon(TM) Data Center GPU Max Series (code-named Sapphire Rapids) with support for High Bandwidth Memory (HBM), alongside the Intel(TM) Data Center GPU Max Series (code-named Ponte Vecchio) on each compute node. Aurora also integrates the Distributed Asynchronous Object Storage (DAOS), a nove…

🇺🇦 #NowPlaying on KEXP's #DriveTime
Matmos:
🎵 Changing States
#Matmos
https://matmos.bandcamp.com/track/changing-states
https://open.spotify.com/track/1KOlXSrzEZHdEX4Scqzjw5

Complete classification of the Dehn functions of Bestvina-Brady groups
Yu-Chan Chang, Jer\'onimo Garc\'ia-Mej\'ia, Matteo Migliorini
https://arxiv.org/abs/2507.07566

Complete classification of the Dehn functions of Bestvina-Brady groups
We prove that the Dehn function of every finitely presented Bestvina-Brady group grows as a linear, quadratic, cubic, or quartic polynomial. In fact, we provide explicit criteria on the defining graph to determine the degree of this polynomial. As a consequence, we identify an obstruction that prevents certain Bestvina-Brady groups from admitting a CAT(0) structure.

Why Facts Don’t Change Minds in the Culture Wars—Structure Does
https://vasily.cc/blog/facts-dont-change-minds/

Why Facts Don’t Change Minds in the Culture Wars—Structure Does
Why do facts bounce off some people? It’s not about logic; it’s about structure. Your worldview isn’t a list of opinions—it's a living network. And right now, it's at war.

Lecture: Yen-yi Chan, “Presence and Performance: Devotional Images of Shaka and His Sacred Body in Medieval Nara” (Kanagawa U., Wed., 24 Sept, 3:30–5pm; in-person only)
https://ift.tt/0ixpmAw
TOC The Asia Pacific Journal of Anthropology, vol 18, 5 (2017) …
via Input 4 RELCFP

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[6/6]:
- Representation biases: will we achieve complete understanding by analyzing representations?
Andrew Kyle Lampinen, Stephanie C. Y. Chan, Yuxuan Li, Katherine Hermann

Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning
Chan Young Park, Jillian Fisher, Marius Memmel, Dipika Khullar, Andy Yun, Abhishek Gupta, Yejin Choi
https://arxiv.org/abs/2507.08224

Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning
Large language models (LLMs) have shown promise in robotic procedural planning, yet their human-centric reasoning often omits the low-level, grounded details needed for robotic execution. Vision-language models (VLMs) offer a path toward more perceptually grounded plans, but current methods either rely on expensive, large-scale models or are constrained to narrow simulation settings. We introduce SelfReVision, a lightweight and scalable self-improvement framework for vision-language procedural …

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Ludwig van Beethoven, BBC Symphony Orchestra & Elim Chan:
🎵 Symphony no 5 in C minor, Op 67
#LudwigvanBeethoven #BBCSymphonyOrchestra #ElimChan

FAS-ARIS: Turning Multipath Challenges Into Localization Opportunities
Hua Chen, Tao Gong, Tuo Wu, Maged Elkashlan, Baiyang Liu, Chan-Byoung Chae, Kin-Fai Tong, Kai-Kit Wong
https://arxiv.org/abs/2509.12348

FAS-ARIS: Turning Multipath Challenges Into Localization Opportunities
Traditional single-input single-output (SISO) systems face fundamental limitations in achieving accurate three-dimensional (3D) localization due to limited spatial degrees of freedom (DoF) and the adverse impact of multipath propagation. This paper proposes a novel fluid antenna system (FAS)-active reconfigurable intelligent surface (ARIS) framework that transforms multipath effects from a hindrance into a resource for enhanced localization. By synergistically combining the signal amplification…

Lecture: Yen-yi Chan, “Presence and Performance: Devotional Images of Shaka and His Sacred Body in Medieval Nara” (Kanagawa U., Wed., 24 Sept, 3:30–5pm; in-person only)
https://ift.tt/KsP1Mnt
TOC The Asia Pacific Journal of Anthropology, vol 18, 5 (2017) …
via Input 4 RELCFP

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/7]:
- Bidirectional Hierarchical Protein Multi-Modal Representation Learning
Xuefeng Liu, Songhao Jiang, Chih-chan Tien, Jinbo Xu, Rick Stevens

Token-based Attractors and Cross-attention in Spoof Diarization
Kyo-Won Koo, Chan-yeong Lim, Jee-weon Jung, Hye-jin Shim, Ha-Jin Yu
https://arxiv.org/abs/2509.13085 https://

Token-based Attractors and Cross-attention in Spoof Diarization
Spoof diarization identifies ``what spoofed when" in a given speech by temporally locating spoofed regions and determining their manipulation techniques. As a first step toward this task, prior work proposed a two-branch model for localization and spoof type clustering, which laid the foundation for spoof diarization. However, its simple structure limits the ability to capture complex spoofing patterns and lacks explicit reference points for distinguishing between bona fide and various spoofing…

Reactive Chemistry at Unrestricted Coupled Cluster Level: High-throughput Calculations for Training Machine Learning Potentials
Alice E. A. Allen, Rui Li, Sakib Matin, Xing Zhang, Benjamin Nebgen, Nicholas Lubbers, Justin S. Smith, Richard Messerly, Sergei Tretiak, Garnet Kin-Lic Chan, Kipton Barros
https://arxiv.org/abs/2509.10872

Reactive Chemistry at Unrestricted Coupled Cluster Level: High-throughput Calculations for Training Machine Learning Potentials
Accurately modeling chemical reactions at the atomistic level requires high-level electronic structure theory due to the presence of unpaired electrons and the need to properly describe bond breaking and making energetics. Commonly used approaches such as Density Functional Theory (DFT) frequently fail for this task due to deficiencies that are well recognized. However, for high-fidelity approaches, creating large datasets of energies and forces for reactive processes to train machine learning …

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Clara Schumann, Isata Kanneh‐Mason, BBC Symphony Orchestra & Elim Chan:
🎵 Piano Concerto in A minor, Op 7
#ClaraSchumann #IsataKannehMason #BBCSymphonyOrchestra #ElimChan

Great Barrier Reef sees sharpest annual coral decline in nearly four decades | The Independent
https://www.independent.co.uk/climate-change/news/great-barrier-reef-mass-bleaching-coral-decline-b2802690.html

EQT agrees to sell Japanese automotive electronics manufacturer Pioneer for $1.1B to CarUX, a unit of Taiwan-listed Innolux specializing in smart cockpit tech (Cathy Chan/Bloomberg)
https://www.bloomberg.com/news/articles/20

FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction
Sichen Zhao, Wei Shao, Jeffrey Chan, Ziqi Xu, Flora Salim
https://arxiv.org/abs/2508.07518

FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction
As deep spatio-temporal neural networks are increasingly utilised in urban computing contexts, the deployment of such methods can have a direct impact on users of critical urban infrastructure, such as public transport, emergency services, and traffic management systems. While many spatio-temporal methods focus on improving accuracy, fairness has recently gained attention due to growing evidence that biased predictions in spatio-temporal applications can disproportionately disadvantage certain …

Replaced article(s) found for q-bio.NC. https://arxiv.org/list/q-bio.NC/new
[1/1]:
- Representation biases: will we achieve complete understanding by analyzing representations?
Andrew Kyle Lampinen, Stephanie C. Y. Chan, Yuxuan Li, Katherine Hermann

Numbers with three close factorizations and central lattice points on hyperbolas
Tsz Ho Chan
https://arxiv.org/abs/2507.07094 https://

Numbers with three close factorizations and central lattice points on hyperbolas
In this paper, we continue the study of three close factorizations of an integer and correct a mistake of a previous result. This turns out to be related to lattice points close to the center point $(\sqrt{N}, \sqrt{N})$ of the hyperbola $x y = N$. We establish optimal lower bounds for $L^1$-distance between these lattice points and the center. We also give some good examples based on polynomials and Pell equations more systematically.

Replaced article(s) found for cs.MM. https://arxiv.org/list/cs.MM/new
[1/1]:
- Multimodal LLM-based Query Paraphrasing for Video Search
Jiaxin Wu, Chong-Wah Ngo, Wing-Kwong Chan, Sheng-Hua Zhong, Xiong-Yong Wei, Qing Li

Extreme heat worsens air pollution health risks #environment

Extreme heat worsens air pollution health risks | Harvard T.H. Chan School of Public Health
Rising temperatures due to climate change are exacerbating the health risks of air pollution, experts say.

Replaced article(s) found for astro-ph.GA. https://arxiv.org/list/astro-ph.GA/new
[1/2]:
- Joint Modeling of Quasar Variability and Accretion Disk Reprocessing using Latent Stochastic Diff...
Fagin, Chan, Best, O'Dowd, Ford, Graham, Park, Villar

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/4]:
- Explainable AI for Accelerated Microstructure Imaging: A SHAP-Guided Protocol on the Connectome 2...
Uhl, Pavan, Gerold, Chan, Jun, Fujita, Bhatt, Ma, Wang, Lee, Huang, Bilgic, Jelescu

Unveiling IPv6 Scanning Dynamics: A Longitudinal Study Using Large Scale Proactive and Passive IPv6 Telescopes
Hammas Bin Tanveer, Wai Sun Chan, Ricky K. P. Mok, Sebastian Kappes, Philipp Richter, Oliver Gasser, John Ronan, Arthur Berger, kc Claffy
https://arxiv.org/abs/2508.07506

Unveiling IPv6 Scanning Dynamics: A Longitudinal Study Using Large Scale Proactive and Passive IPv6 Telescopes
We introduce new tools and vantage points to develop and integrate proactive techniques to attract IPv6 scan traffic, thus enabling its analysis. By deploying the largest-ever IPv6 proactive telescope in a production ISP network, we collected over 600M packets of unsolicited traffic from 1.9k Autonomous Systems in 10 months. We characterized the sources of unsolicited traffic, evaluated the effectiveness of five major features across the network stack, and inferred scanners' sources of target a…

Computer Vision-based Adaptive Control for Back Exoskeleton Performance Optimization
Andrea Dal Prete, Seyram Ofori, Chan Yon Sin, Ashwin Narayan, Francesco Braghin, Marta Gandolla, Haoyong Yu
https://arxiv.org/abs/2508.06207

Computer Vision-based Adaptive Control for Back Exoskeleton Performance Optimization
Back exoskeletons can reduce musculoskeletal strain, but their effectiveness depends on support modulation and adaptive control. This study addresses two challenges: defining optimal support strategies and developing adaptive control based on payload estimation. We introduce an optimization space based on muscle activity reduction, perceived discomfort, and user preference, constructing functions to identify optimal strategies. Experiments with 12 subjects revealed optimal operating regions, hi…

Scalable FAS: A New Paradigm for Array Signal Processing
Tuo Wu, Ye Tian, Jie Tang, Kangda Zhi, Maged Elkashlan, Kin-Fai Tong, Naofal Al-Dhahir, Chan-Byoung Chae, Matthew C. Valenti, George K. Karagiannidis, Kwai-Man Luk
https://arxiv.org/abs/2508.10831

Scalable FAS: A New Paradigm for Array Signal Processing
Most existing antenna array-based source localization methods rely on fixed-position arrays (FPAs) and strict assumptions about source field conditions (near-field or far-field), which limits their effectiveness in complex, dynamic real-world scenarios where high-precision localization is required. In contrast, this paper introduces a novel scalable fluid antenna system (SFAS) that can dynamically adjust its aperture configuration to optimize performance for different localization tasks. Within…

Modality Alignment with Multi-scale Bilateral Attention for Multimodal Recommendation
Kelin Ren, Chan-Yang Ju, Dong-Ho Lee
https://arxiv.org/abs/2509.09114 https://

Modality Alignment with Multi-scale Bilateral Attention for Multimodal Recommendation
Multimodal recommendation systems are increasingly becoming foundational technologies for e-commerce and content platforms, enabling personalized services by jointly modeling users' historical behaviors and the multimodal features of items (e.g., visual and textual). However, most existing methods rely on either static fusion strategies or graph-based local interaction modeling, facing two critical limitations: (1) insufficient ability to model fine-grained cross-modal associations, leading to …

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Ben Nobuto, BBC Singers, BBC Symphony Chorus, Neil Ferris, BBC Symphony Orchestra & Elim Chan:
🎵 Hallelujah Sim.
#BenNobuto #BBCSingers #BBCSymphonyChorus #NeilFerris #BBCSymphonyOrchestra #ElimChan

A congruence family modulo powers of 5 for generalized cubic partitions via the localization method
Dalen Dockery
https://arxiv.org/abs/2508.05833 https://…

A congruence family modulo powers of 5 for generalized cubic partitions via the localization method
Recently Amdeberhan, Sellers, and Singh introduced a new infinite family of partition functions called generalized cubic partitions. Given a positive integer $d$, they let $a_d(n)$ be the counting function for partitions of $n$ in which the odd parts are unrestricted and the even parts are $d$-colored. These partitions are natural generalizations of Chan's notion of cubic partitions, as they coincide when $d=2.$ Many Ramanujan-like congruences exist in the literature for cubic partitions, and i…

The Future is Fluid: Revolutionizing DOA Estimation with Sparse Fluid Antennas
He Xu, Tuo Wu, Ye Tian, Ming Jin, Wei Liu, Qinghua Guo, Maged Elkashlan, Matthew C. Valenti, Chan-Byoung Chae, Kin-Fai Tong, Kai-Kit Wong
https://arxiv.org/abs/2508.10826

The Future is Fluid: Revolutionizing DOA Estimation with Sparse Fluid Antennas
This paper investigates a design framework for sparse fluid antenna systems (FAS) enabling high-performance direction-of-arrival (DOA) estimation, particularly in challenging millimeter-wave (mmWave) environments. By ingeniously harnessing the mobility of fluid antenna (FA) elements, the proposed architectures achieve an extended range of spatial degrees of freedom (DoF) compared to conventional fixed-position antenna (FPA) arrays. This innovation not only facilitates the seamless application o…

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Anton Bruckner, Sophie Bevan, BBC Singers, BBC Symphony Chorus, Neil Ferris, BBC Symphony Orchestra & Elim Chan:
🎵 Psalm 150, WAB 38
#AntonBruckner #SophieBevan #BBCSingers #BBCSymphonyChorus #NeilFerris #ElimChan

Enhancing Retrieval-Augmented Generation for Electric Power Industry Customer Support
Hei Yu Chan, Kuok Tou Ho, Chenglong Ma, Yujing Si, Hok Lai Lin, Sa Lei Lam
https://arxiv.org/abs/2508.05664

Enhancing Retrieval-Augmented Generation for Electric Power Industry Customer Support
Many AI customer service systems use standard NLP pipelines or finetuned language models, which often fall short on ambiguous, multi-intent, or detail-specific queries. This case study evaluates recent techniques: query rewriting, RAG Fusion, keyword augmentation, intent recognition, and context reranking, for building a robust customer support system in the electric power domain. We compare vector-store and graph-based RAG frameworks, ultimately selecting the graph-based RAG for its superior p…

Fluid Antenna Enabled Direction-of-Arrival Estimation Under Time-Constrained Mobility
He Xu, Tuo Wu, Ye Tian, Kangda Zhi, Wei Liu, Baiyang Liu, Hing Cheung So, Naofal Al-Dhahir, Kin-Fai Tong, Chan-Byoung Chae, Kai-Kit Wong
https://arxiv.org/abs/2508.10820

Fluid Antenna Enabled Direction-of-Arrival Estimation Under Time-Constrained Mobility
Fluid antenna (FA) technology has emerged as a promising approach in wireless communications due to its capability of providing increased degrees of freedom (DoFs) and exceptional design flexibility. This paper addresses the challenge of direction-of-arrival (DOA) estimation for aligned received signals (ARS) and non-aligned received signals (NARS) by designing two specialized uniform FA structures under time-constrained mobility. For ARS scenarios, we propose a fully movable antenna configurat…

🔊 #NowPlaying on #BBCRadio3:
#ThroughTheNight
- Schoenberg, Gershwin and Rachmaninov
Elim Chan conducts the WDR Symphony Orchestra in Schoenberg's Piano Concerto and Gershwin's Rhapsody in Blue. Kirill Gerstein is the soloist in this sparkling performance.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002fk18

Bayesian-Driven Graph Reasoning for Active Radio Map Construction
Wenlihan Lu, Shijian Gao, Miaowen Wen, Yuxuan Liang, Chan-Byoung Chae, H. Vincent Poor
https://arxiv.org/abs/2508.09142

Bayesian-Driven Graph Reasoning for Active Radio Map Construction
With the emergence of the low-altitude economy, radio maps have become essential for ensuring reliable wireless connectivity to aerial platforms. Autonomous aerial agents are commonly deployed for data collection using waypoint-based navigation; however, their limited battery capacity significantly constrains coverage and efficiency. To address this, we propose an uncertainty-aware radio map (URAM) reconstruction framework that explicitly leverages graph-based reasoning tailored for waypoint na…

🔊 #NowPlaying on #BBCRadio3:
#ThroughTheNight
- Ogonek, Rachmaninov and Prokofiev from Berlin
Pianist Alexander Malofeev joins German Symphony Orchestra, Berlin, and conductor Elim Chan in Rachmaninov's Second Piano Concerto plus Prokofiev Symphony No 5. John Shea presents.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002hws7

🇺🇦 #NowPlaying on BBCRadio3's #Radio3sPromsCountdown
Frédéric Chopin, Benjamin Grosvenor, Royal Scottish National Orchestra & Elim Chan:
🎵 Piano Concerto No. 1 in E Minor, Op. 11; 2. Romance
#FrédéricChopin #ElimChan
https://open.spotify.com/track/1nXhZsvRXcbDDc0CHcBy63