Publications (40)
Unitary Approximate Message Passing for Sparse Bayesian Learning
Man Luo, Qinghua Guo, Ming Jin +4
Sparse Bayesian learning (SBL) can be implemented with low complexity based on the approximate message passing (AMP) algorithm. However, it does not work well for a generic measure…
Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration
Xiang Gao, Jennie Si, Yue Wen +3
We are motivated by the real challenges presented in a human-robot system to develop new designs that are efficient at data level and with performance guarantees such as stability…
Personalized Keyphrase Detection using Speaker and Environment Information
Rajeev Rikhye, Quan Wang, Qiao Liang +6
In this paper, we introduce a streaming keyphrase detection system that can be easily customized to accurately detect any phrase composed of words from a large vocabulary. The syst…
Nanoconfinement Effects on Intermolecular Forces Observed via Dewetting
Tara, Huang, Evon S. Petek +1
Although wettability is a macroscopic manifestation of molecular-level forces, such as van der Waals (vdW) forces, the impact of nanoconfinement on material properties in reduced f…
Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications
Chieh-Yang Huang, Ting-Hao, Huang +1
Instant messaging is one of the major channels of computer mediated communication. However, humans are known to be very limited in understanding others' emotions via text-based com…
Impact of Noisy Labels on Sound Event Detection: Deletion Errors Are More Detrimental Than Insertion Errors
Yuliang Zhang, Roberto Togneri, Defeng +1
This study explores the critical but underexamined impact of label noise on Sound Event Detection (SED), which requires both sound identification and precise temporal localization.…
Envisioning Possibilities and Challenges of AI for Personalized Cancer Care
Elaine Kong, Kuo-Ting, Huang +1
The use of Artificial Intelligence (AI) in healthcare, including in caring for cancer survivors, has gained significant interest. However, gaps remain in our understanding of how s…
Accurate Sampling Timing Acquisition for Baseband OFDM Power-line Communication in Non-Gaussian Noise
Chen Chen, Yun Chen, Na Ding +4
In this paper, a novel technique is proposed to address the joint sampling timing acquisition for baseband and broadband power-line communication (BB-PLC) systems using Orthogonal-…
Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques
Jihyeon Lee, Joseph Z. Xu, Kihyuk Sohn +8
To respond to disasters such as earthquakes, wildfires, and armed conflicts, humanitarian organizations require accurate and timely data in the form of damage assessments, which in…
Ultrawide bandgap semiconductor heterojunction p-n diodes with distributed polarization doped p-type AlGaN layers on bulk AlN substrates
Shivali Agrawal, Len van Deurzen, Jimy Encomendero +7
Ultrawide bandgap heterojunction p-n diodes with polarization-induced AlGaN p-type layers are demonstrated using plasma-assisted molecular beam epitaxy on bulk AlN substrates. Curr…
Ultra low-cost fabrication of homogeneous alginate hydrogel microspheres in symmetry designed microfluidic device
Qing Qin, Yu Zhang, Yubei Wei +12
In this study, we present a two-stage method for fabricating monodisperse alginate hydrogel microspheres using a symmetrically designed flow-focusing microfluidic device. One of th…
EmotionLines: An Emotion Corpus of Multi-Party Conversations
Sheng-Yeh Chen, Chao-Chun Hsu, Chuan-Chun Kuo +3
Feeling emotion is a critical characteristic to distinguish people from machines. Among all the multi-modal resources for emotion detection, textual datasets are those containing t…
Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm
Yuming, Huang, Yao Liu +3
Benchmarking is mature where answers are verifiable -- math, code, reasoning -- but the fastest-growing uses of LLMs are subjective and human-facing: companionship, emotional suppo…
Prospective Learning: Principled Extrapolation to the Future
Ashwin De Silva, Rahul Ramesh, Lyle Ungar +40
Learning is a process which can update decision rules, based on past experience, such that future performance improves. Traditionally, machine learning is often evaluated under the…
Approximate Message Passing with Nearest Neighbor Sparsity Pattern Learning
Xiangming Meng, Sheng Wu, Linling Kuang +3
We consider the problem of recovering clustered sparse signals with no prior knowledge of the sparsity pattern. Beyond simple sparsity, signals of interest often exhibits an underl…
Margin-Consistent Deep Subtyping of Invasive Lung Adenocarcinoma via Perturbation Fidelity in Whole-Slide Image Analysis
Meghdad Sabouri Rad, Junze, Huang +6
Whole-slide image classification for invasive lung adenocarcinoma subtyping remains vulnerable to real-world imaging perturbations that undermine model reliability at the decision…
Visual Storytelling
Ting-Hao, Huang, Francis Ferraro +13
We introduce the first dataset for sequential vision-to-language, and explore how this data may be used for the task of visual storytelling. The first release of this dataset, SIND…
Design of EMG-driven Musculoskeletal Model for Volitional Control of a Robotic Ankle Prosthesis
Chinmay Shah, Aaron Fleming, Varun Nalam +2
Existing robotic lower-limb prostheses use autonomous control to address cyclic, locomotive tasks, but they are inadequate to operate the prosthesis for daily activities that are n…
Message-Passing Receiver for Joint Channel Estimation and Decoding in 3D Massive MIMO-OFDM Systems
Sheng Wu, Linling Kuang, Zuyao Ni +4
In this paper, we address the message-passing receiver design for the 3D massive MIMO-OFDM systems. With the aid of the central limit argument and Taylor-series approximation, a co…
OptiClear: Differentiable Curvilinear Design Rule Legalization for Inverse-Designed Photonic Devices
Hongjian Zhou, Haoyu Yang, Nicholas Gangi +3
Photonic inverse design enables ultra-compact, high-performance devices with highly curvilinear and non-intuitive geometries, but the resulting layouts often violate fabrication de…
Reinforcement Learning Enabled Automatic Impedance Control of a Robotic Knee Prosthesis to Mimic the Intact Knee Motion in a Co-Adapting Environment
Ruofan Wu, Minhan Li, Zhikai Yao +3
Automatically configuring a robotic prosthesis to fit its user's needs and physical conditions is a great technical challenge and a roadblock to the adoption of the technology. Pre…
Semiconductor SEM Image Defect Classification Using Supervised and Semi-Supervised Learning with Vision Transformers
Chien-Fu, Huang, Katherine Sieg +4
Controlling defects in semiconductor processes is important for maintaining yield, improving production cost, and preventing time-dependent critical component failures. Electron be…
Replicating Real-World 23-Hz Oscillations Caused by Large Electronic Loads
Lingling Fan, Ali Yazdanpanah, Yunzhi Cheng +5
In 2024, Texas operators observed 23-Hz oscillations in real power measurements close to a large electronic load (LEL). Oscillations emerged when the load's power consumption reach…
A Survey of Current Datasets for Vision and Language Research
Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao +5
Integrating vision and language has long been a dream in work on artificial intelligence (AI). In the past two years, we have witnessed an explosion of work that brings together vi…
On the Price of Decentralization in Decentralized Detection
Bruce, Huang, I-Hsiang Wang
Fundamental limits on the error probabilities of a family of decentralized detection algorithms (eg., the social learning rule proposed by Lalitha et al. over directed graphs are i…
A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton
Xikai Tu, Minhan Li, Ming Liu +3
Robotic exoskeletons are exciting technologies for augmenting human mobility. However, designing such a device for seamless integration with the human user and to assist human move…
Bernstein-Gelfand-Gelfand meets geometric complexity theory: resolving the 2 x 2 permanents of a 2 x n matrix
Fulvio Gesmundo, Hang, Huang +2
We describe the minimal free resolution of the ideal of subpermanents of a generic matrix . In contrast to the case of determinants, the $…
The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning
Wenqian Ye, Luyang Jiang, Eric Xie +16
Back in the early 20th century, a horse named Hans appeared to perform arithmetic and other intellectual tasks during exhibitions in Germany, while it actually relied solely on inv…
A Network-of-Networks Model for Electrical Infrastructure Networks
Mahantesh Halappanavar, Eduardo Cotilla-Sanchez, Emilie Hogan +4
Modeling power transmission networks is an important area of research with applications such as vulnerability analysis, study of cascading failures, and location of measurement dev…
Pseudo Strong Labels from Frame-Level Predictions for Weakly Supervised Sound Event Detection
Yuliang Zhang, Defeng, Huang +1
Weakly Supervised Sound Event Detection (WSSED), which relies on audio tags without precise onset and offset times, has become prevalent due to the scarcity of strongly labeled dat…
The incompressible energy cascade rate in anisotropic solar wind turbulence
N. Andrés, F. Sahraoui, Huang +2
Context. The presence of a magnetic guide field induces several types of anisotropy in solar wind turbulence. The energy cascade rate between scales in the inertial range depends s…
A Spin-based model checking for the simple concurrent program on a preemptive RTOS
Chen-Kai Lin, Ching-Chun, Huang +1
We adapt an existing preemptive scheduling model of RTOS kernel by eChronos from machine-assisted proof to Spin-based model checker. The model we constructed can be automatically v…
Urban to Rural Migration in Eastern Europe: Unpacking digital ruralities through TikTok video analysis
Anca-Simona Horvath, Cristian Tosa, Simai +1
Urban to rural migration is a less-researched phenomenon compared to its counterpart: rural to urban migration. In parts of Europe, an increasing number of people living in big urb…
A Comparative Study of Interface Techniques for Transmission and Distribution Dynamic Co-Simulation
Qiuhua Huang, Renke Huang, Rui Fan +5
Transmission and distribution dynamic co-simulation is a practical and effective approach to leverage existing simulation tools for transmission and distribution systems to simulat…
AI Deception: Risks, Dynamics, and Controls
Boyuan Chen, Sitong Fang, Jiaming Ji +56
As intelligence increases, so does its shadow. AI deception, in which systems induce false beliefs to secure self-beneficial outcomes, has evolved from a speculative concern to an…
Regression Accumulation in Multi-Turn LLM Programming Conversations
Yonghui, Huang, Lin Ma +4
In LLM-assisted software development, coding is often iterative. We study regression accumulation in multi-turn LLM programming conversations, where later code suggestions may brea…
LiDAR 2.0: Hierarchical Curvy Waveguide Detailed Routing for Large-Scale Photonic Integrated Circuits
Hongjian Zhou, Haoyu Yang, Ziang Ying +6
Driven by innovations in photonic computing and interconnects, photonic integrated circuit (PIC) designs advance and grow in complexity. Traditional manual physical design processe…
Efficient Financial Language Understanding via Distillation with Synthetic Data
Wen-Fong, Huang, Edwin Simpson
Large instruction-following models are powerful but costly to deploy, particularly in finance, where labelled data are limited by confidentiality and expert annotation cost. We pre…
Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-critic Reinforcement Learning
Ruofan Wu, Zhikai Yao, Jennie Si +2
We address a state-of-the-art reinforcement learning (RL) control approach to automatically configure robotic prosthesis impedance parameters to enable end-to-end, continuous locom…
Overview of the DESI Legacy Imaging Surveys
Arjun Dey, David J. Schlegel, Dustin Lang +157
The DESI Legacy Imaging Surveys are a combination of three public projects (the Dark Energy Camera Legacy Survey, the Beijing-Arizona Sky Survey, and the Mayall z-band Legacy Surve…