Publications (46)
On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models
Yuxuan, Yang, Hadi Akbarzadeh Khorshidi +3
Surgical risk increases significantly when patients present with comorbid conditions. This has resulted in the creation of numerous risk stratification tools with the objective of…
Co-evolution of the global research collaboration network and the performance of nations in science and technology
Travis A. Whetsell, Jeongyoon, Yang
Researchers have long suspected that international research collaboration (IRC) and scientific and technological (S\&T) performance are subject to reciprocal causality, yet the end…
Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures
Shuqing Luo, Ye Han, Pingzhi Li +7
Mixture-of-Experts (MoE) architecture offers enhanced efficiency for Large Language Models (LLMs) with modularized computation, yet its inherent sparsity poses significant hardware…
Smart Fast Finish: Preventing Overdelivery via Daily Budget Pacing at DoorDash
Rohan Garg, Yongjin Xiao, Jason +2
We present a budget pacing feature called Smart Fast Finish (SFF). SFF builds upon the industry standard Fast Finish (FF) feature in budget pacing systems that depletes remaining a…
Unleashing the Potential of Large Language Models: A Blueprint for Real-Time, Enterprise-Ready Deployments
Muhammad Faizan Raza, Shuo, Yang +2
Large language models deployed in real-time, regulated settings face knowledge staleness, catastrophic forgetting, hallucination, and weak feedback loops. We present a unified, pat…
Wick Renormalized Parabolic Stochastic Quantization Equations on Rough Metric Measure Spaces
Hongyi Chen, Yifan, Yang
On metric measure spaces with sub-Gaussian heat kernel behavior in small time, we obtain a sufficient condition to solve Wick renormalized stochastic quantization equations with po…
MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging
Jinwei Tang, Jiayin Qin, Nuo Xu +5
As program workloads (e.g., AI) increase in size and algorithmic complexity, the primary challenge lies in their high dimensionality, encompassing computing cores, array sizes, and…
What Makes People Install a COVID-19 Contact-Tracing App? Understanding the Influence of App Design and Individual Difference on Contact-Tracing App Adoption Intention
Tianshi Li, Camille Cobb, Jackie +6
Smartphone-based contact-tracing apps are a promising solution to help scale up the conventional contact-tracing process. However, low adoption rates have become a major issue that…
Personalized Context-Aware Multi-Modal Transportation Recommendation
Meixin Zhu, Jingyun Hu, Hao +3
This study proposes to find the most appropriate transport modes with awareness of user preferences (e.g., costs, times) and trip characteristics (e.g., purpose, distance). The wor…
Tracking Sentiment in Mail: How Genders Differ on Emotional Axes
Saif M. Mohammad, Tony, Yang
With the widespread use of email, we now have access to unprecedented amounts of text that we ourselves have written. In this paper, we show how sentiment analysis can be used in t…
Mobile Distributed MIMO (MD-MIMO) for NextG: Mobility Meets Cooperation in Distributed Arrays
Karim A. Said, Yibin Liang, Usama Saeed +13
Distributed multiple-input multiple-output (D\mbox{-}MIMO) is a promising technology to realize the promise of massive MIMO gains by fiber-connecting the distributed antenna arrays…
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale
Zhaoxia, Deng, Jongsoo Park +17
Tremendous success of machine learning (ML) and the unabated growth in ML model complexity motivated many ML-specific designs in both CPU and accelerator architectures to speed up…
Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and Inference
Shuqing Luo, Pingzhi Li, Jie Peng +7
Mixture-of-experts (MoE) architectures could achieve impressive computational efficiency with expert parallelism, which relies heavily on all-to-all communication across devices. U…
Spatio-Temporal Human Action Recognition Modelwith Flexible-interval Sampling and Normalization
Yuke, Yang
Human action recognition is a well-known computer vision and pattern recognition task of identifying which action a man is actually doing. Extracting the keypoint information of a…
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents
Chih-Hsuan, Yang, Tanwi Mallick +5
Large Language Models (LLMs) in multi-agent systems (MAS) have shown promise for complex tasks, yet current training methods lack principled ways to connect system-level evaluation…
Supercharging Federated Learning with Flower and NVIDIA FLARE
Holger R. Roth, Daniel J. Beutel, Yan Cheng +13
Several open-source systems, such as Flower and NVIDIA FLARE, have been developed in recent years while focusing on different aspects of federated learning (FL). Flower is dedicate…
Existence of Large Independent-Like Sets
Robert, Yang
Let be a compact abelian group and be its discrete dual group. For , we define a class of independent-like sets, -PR sets, as a set in such that…
HDLxGraph: Bridging Large Language Models and HDL Repositories via HDL Graph Databases
Pingqing Zheng, Jiayin Qin, Fuqi Zhang +7
Retrieval Augmented Generation (RAG) is an essential agent for Large Language Model (LLM) aided Description Language (HDL) tasks, addressing the challenges of limited training data…
Towards Explainable Traffic Flow Prediction with Large Language Models
Xusen Guo, Qiming Zhang, Junyue Jiang +4
Traffic forecasting is crucial for intelligent transportation systems. It has experienced significant advancements thanks to the power of deep learning in capturing latent patterns…
Magnetically modulated fluorescent probes in turbid media
Yang, KhanhVan T. Nguyen, Hongyu Chen +1
Magnetically modulated optical nanoprobes (MagMOONs) were used to detect and distinguish probe fluorescence from autofluorescent backgrounds in turbid media. MagMOONs are micro/nan…
Achieve Fully Decentralized End to End Encryption Meeting via Blockchain
Yang, Tan
Zoom Meeting is an enterprise online video conferencing solution with real-time messaging and content sharing. However, it's lack of privacy protection since centralized Zoom serve…
Hallucination reduction with CASAL: Contrastive Activation Steering For Amortized Learning
Wannan, Yang, Xinchi Qiu +6
Large Language Models (LLMs) exhibit impressive capabilities but often hallucinate, confidently providing incorrect answers instead of admitting ignorance. Prior work has shown tha…
HiVeGen -- Hierarchical LLM-based Verilog Generation for Scalable Chip Design
Jinwei Tang, Jiayin Qin, Kiran Thorat +5
With Large Language Models (LLMs) recently demonstrating impressive proficiency in code generation, it is promising to extend their abilities to Hardware Description Language (HDL)…
My Advisor, Her AI and Me: Evidence from a Field Experiment on Human-AI Collaboration and Investment Decisions
Cathy, Yang, Kevin Bauer +2
Amid ongoing policy and managerial debates on keeping humans in the loop of AI decision-making, we investigate whether human involvement in AI-based service production benefits dow…
TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer
Meixin Zhu, Simon S. Du, Xuesong Wang +4
Car-following refers to a control process in which the following vehicle (FV) tries to keep a safe distance between itself and the lead vehicle (LV) by adjusting its acceleration i…
Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning
Kian Hamedani, Lingjia Liu, Jithin Jagannath +2
Smart grids are vulnerable to cyber-attacks. This paper proposes a game-theoretic approach to evaluate the variations caused by an attacker on the power measurements. Adversaries c…
13.56MHz Rectifying Diodes Based on Metal Halide Perovskite
Peng Jin, Xuehui Xu, Zeng Chen +5
The increasing use of portable and wireless technologies has led to a growing focus on radio-frequency identification (RFID) tags. Among the various devices in RFID tags, rectifyin…
Using Large Language Models for Humanitarian Frontline Negotiation: Opportunities and Considerations
Zilin Ma, Susannah, Su +14
Humanitarian negotiations in conflict zones, called \emph{frontline negotiation}, are often highly adversarial, complex, and high-risk. Several best-practices have emerged over the…
Distributionally Robust Resource Allocation with Trust-aided Parametric Information Fusion
Yanru Guo, Bo Zhou, Ruiwei Jiang +3
Reference information plays an essential role for making decisions under uncertainty, yet may vary across multiple data sources. In this paper, we study resource allocation in stoc…
Simulating the Integration of Urban Air Mobility into Existing Transportation Systems: A Survey
Xuan Jiang, Yuhan Tang, Junzhe Cao +7
Urban air mobility (UAM) has the potential to revolutionize transportation in metropolitan areas, providing a new mode of transportation that could alleviate congestion and improve…
Half Strong Ill-Posedness of D Electron Magnetohydrodynamics with Fractional Resistivity
Xiaotong, Yang, Haoming Zhu
We study the D electron magnetohydrodynamics (MHD): the electron MHD system that has D magnetic field but is independent of -variable. We establish a "half" str…
Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps
Tianshi Li, Jackie, Yang +5
Contact-tracing apps have potential benefits in helping health authorities to act swiftly to halt the spread of COVID-19. However, their effectiveness is heavily dependent on their…
MetaFollower: Adaptable Personalized Autonomous Car Following
Xianda Chen, Kehua Chen, Meixin Zhu +5
Car-following (CF) modeling, a fundamental component in microscopic traffic simulation, has attracted increasing interest of researchers in the past decades. In this study, we prop…
Future Semantic Segmentation with Convolutional LSTM
Seyed shahabeddin Nabavi, Mrigank Rochan, Yang +1
We consider the problem of predicting semantic segmentation of future frames in a video. Given several observed frames in a video, our goal is to predict the semantic segmentation…
SAGE: SLO-Aware Adaptive Retrieval for Production RAG Systems
Muhammad Faizan Raza, Shuo, Yang +1
Retrieval-Augmented Generation (RAG) systems in production operate under strict service level objectives (SLOs) on tail latency and infrastructure cost. However, standard retrieval…
SLFS: a Flexible, Low-Cost Distributed File System Using Serverless Designs
Cheng Hao, Yang, Paola Alsharabaty +3
Large-scale distributed file systems must provision resources for peak demand, yet file access patterns fluctuate significantly, leaving substantial capacity idle during off-peak p…
Pressure-Induced Re-entrant transition in NbS3 Phases: Combined Raman Scattering and X-ray Diffraction Study
Abdel-Hafiez, M. Thiyagarajan, R. Majumdar +13
We report the evolution of charge density wave states under pressure for two NbS3 phases triclinic (phase I) and monoclinic (phase II) at room temperature. Raman and X-ray diffract…
Inverse Problem of Electro-seismic Conversion
Jie Chen, Yang
When a porous rock is saturated with an electrolyte, electrical fields are coupled with seismic waves via the electro-seismic conversion. Pride derived the governing models, in whi…
ArcLP: A Matlab implementation of an arc-search infeasible interior-point algorithm for linear programming
Yang, Yaguang
This paper presents a Matlab implementation of an arc-search infeasible interior point algorithm for linear programming (LP), which has a proven polynomial bound of $\mathcal{O}(\s…
Multi-energy X-ray linear-array detector enabled by the side-illuminated metal halide scintillator
Peng Ran, Qingrui Yao, Juan Hui +5
Conventional scintillator-based X-ray imaging typically captures the full spectral of X-ray photons without distinguishing their energy. However, the absence of X-ray spectral info…
Sidon sets are proportionally Sidon with small Sidon constants
Kathryn E. Hare, Robert, Yang
In his seminal work on Sidon sets, Pisier found an important characterization of Sidonicity: A set is Sidon if and only if it is proportionally quasi-independent. Later, it was sho…
Vector Electrometry in a Wide-Gap Semiconductor Device Using a Spin Ensemble Quantum Sensor
Yang, Bang, Takuya Murooka +8
Nitrogen-vacancy (NV) centers in diamond work as a quantum electrometer. Using an ensemble state of NV centers, we propose vector electrometry and demonstrate measurements in a dia…
Optimal Corpus Aware Training for Neural Machine Translation
Yi-Hsiu Liao, Cheng Shen, Brenda +1
Corpus Aware Training (CAT) leverages valuable corpus metadata during training by injecting corpus information into each training example, and has been found effective in the liter…
Multispectral large-area X-ray imaging enabled by stacked multilayer scintillators
Peng Ran, Lurong Yang, Tingming Jiang +6
Conventional energy-integration black-white X-ray imaging lacks spectral information of X-ray photons. Although X-ray spectra (energy) can be distinguished by photon-counting techn…
Characterizing Driver Interactions with Autonomous Vehicles via Response Maps
Dave Broaddus, Rachel DiPirro, Chishang +4
Understanding human responses to autonomous vehicle (AV) behaviors is essential for socially aware interaction, which is crucial for socially compatible navigation in shared traffi…
Enhancing Data Security in the User Layer of Mobile Cloud Computing Environment: A Novel Approach
Noah Oghenfego Ogwara, Krassie Petrova, Mee Loong +2
This paper reviews existing Intrusion Detection Systems (IDS) that target the Mobile Cloud Computing (MCC), Cloud Computing (CC), and Mobile Device (MD) environment. The review ide…