Publications (595)
The amount of crustal entrainment and the type of Vela-like pulsars
Ang Li, Jingbo Wang, Lijing Shao +1
The "glitch crisis" of Vela-like pulsars has been a great debate recently. It might challenge the standard two-component glitch model, because large fractions of superfluid neutron…
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination
Fuxun Yu, Zirui Xu, Tong Shen +12
Despite the superb performance of State-Of-The-Art (SOTA) DNNs, the increasing computational cost makes them very challenging to meet real-time latency and accuracy requirements. A…
MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation
Boyuan Zhang, Bo Fang, Qiang Guan +2
In this extended abstract, we have introduced a highly memory-efficient state vector simulation of quantum circuits premised on data compression, harnessing the capabilities of bot…
Highly tuneable hole quantum dots in Ge-Si core-shell nanowires
Matthias Brauns, Joost Ridderbos, Ang Li +3
We define single quantum dots of lengths varying from 60 nm up to nearly half a micron in Ge-Si core-shell nanowires. The charging energies scale inversely with the quantum dot len…
Mining and searching association relation of scientific papers based on deep learning
Jie Song, Meiyu Liang, Zhe Xue +2
There is a complex correlation among the data of scientific papers. The phenomenon reveals the data characteristics, laws, and correlations contained in the data of scientific and…
A Synergistic Compilation Workflow for Tackling Crosstalk in Quantum Machines
Fei Hua, Yuwei Jin, Ang Li +9
Near-term quantum systems tend to be noisy. Crosstalk noise has been recognized as one of several major types of noises in superconducting Noisy Intermediate-Scale Quantum (NISQ) d…
MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems
Jieyang Chen, Chenhao Xie, Jesun S Firoz +5
Sparse linear algebra kernels play a critical role in numerous applications, covering from exascale scientific simulation to large-scale data analytics. Offloading linear algebra k…
Outflows from black hole hyperaccretion systems: short and long-short gamma-ray bursts and "quasi-supernovae"
Cui-Ying Song, Tong Liu, Ang Li
The detections of some long gamma-ray bursts (LGRBs) relevant to mergers of neutron star (NS)-NS or black hole (BH)-NS, as well as some short gamma-ray bursts (SGRBs) probably prod…
Coherent control of a few-channel hole type gatemon qubit
Han Zheng, Luk Yi Cheung, Nikunj Sangwan +9
Gatemon qubits are the electrically tunable cousins of superconducting transmon qubits. In this work, we demonstrate the full coherent control of a gatemon qubit based on hole carr…
Characterization of Speech Imagery in Scalp EEG and Comparison with Motor Imagery
Bob Van Dyck, Liuyin Yang, Qiang Sun +2
Speech imagery is an attractive brain-computer interface paradigm for communication because it is endogenous and intrinsically linguistic. Yet despite growing interest, its dominan…
DeepFleet: Multi-Agent Foundation Models for Mobile Robots
Ameya Agaskar, Sriram Siva, William Pickering +18
We introduce DeepFleet, a suite of foundation models designed to support coordination and planning for large-scale mobile robot fleets. These models are trained on fleet movement d…
STEP3-VL-10B Technical Report
Ailin Huang, Chengyuan Yao, Chunrui Han +90
We present STEP3-VL-10B, a lightweight open-source foundation model designed to redefine the trade-off between compact efficiency and frontier-level multimodal intelligence. STEP3-…
Exact and Efficient Stabilizer Simulation of Thermal-Relaxation Noise for Quantum Error Correction
Sean R. Garner, Nathan M. Myers, Meng Wang +3
Stabilizer-based simulation of quantum error-correcting codes typically relies on the Pauli-twirling approximation (PTA) to render non-Clifford noise classically tractable, but PTA…
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms
Yuke Wang, Boyuan Feng, Zheng Wang +4
The increasing size of input graphs for graph neural networks (GNNs) highlights the demand for using multi-GPU platforms. However, existing multi-GPU GNN systems optimize the compu…
NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis
Yexiao He, Ziyao Wang, Yuning Zhang +4
Alzheimer's disease (AD) diagnosis is complex, requiring the integration of imaging and clinical data for accurate assessment. While deep learning has shown promise in brain MRI an…
NWQWorkflow: The Northwest Quantum Workflow
Ang Li
This whitepaper presents NWQWorkflow, an end-to-end workflow for quantum application development, compilation, error correction, benchmarking, numerical simulation, control, and ex…
Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs
Ang Li, Simon Su
Despite foreseeing tremendous speedups over conventional deep neural networks, the performance advantage of binarized neural networks (BNNs) has merely been showcased on general-pu…
A Challenge Dataset and Effective Models for Conversational Stance Detection
Fuqiang Niu, Min Yang, Ang Li +3
Previous stance detection studies typically concentrate on evaluating stances within individual instances, thereby exhibiting limitations in effectively modeling multi-party discus…
On-chip spectrometer using stratified waveguides filters
Ang Li, Yeshaiahu Fainman
We present an ultra-compact single-shot spectrometer on silicon platform with broad operation bandwidth and high resolution. It consists of 32 stratified waveguide filters (SWFs) w…
Multi-modal Stance Detection: New Datasets and Model
Bin Liang, Ang Li, Jingqian Zhao +5
Stance detection is a challenging task that aims to identify public opinion from social media platforms with respect to specific targets. Previous work on stance detection largely…
Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation
Xiaodong Zhao, YiXuan Luo, Juejing Liu +6
Manual analysis of XRD data is usually laborious and time consuming. The deep neural network (DNN) based models trained by synthetic XRD patterns are proved to be an automatic, acc…
Sentiment Analysis of Online Travel Reviews Based on Capsule Network and Sentiment Lexicon
Jia Wang, Junping Du, Yingxia Shao +1
With the development of online travel services, it has great application prospects to timely mine users' evaluation emotions for travel services and use them as indicators to guide…
GALIC: Hybrid Multi-Qubitwise Pauli Grouping for Quantum Computing Measurement
Matthew X. Burns, Chenxu Liu, Samuel Stein +3
Observable estimation is a core primitive in NISQ-era algorithms targeting quantum chemistry applications. To reduce the state preparation overhead required for accurate estimation…
Surface Geometric and Electronic Structure of BaFe2As2(001)
V. B. Nascimento, Ang Li, Dilushan R. Jayasundara +15
BaFe2As2 exhibits properties characteristic of the parent compounds of the newly discovered iron (Fe)-based high-TC superconductors. By combining the real space imaging of scanning…
Rotating NSs/QSs and recent astrophysical observations
Ang Li, Jianmin Dong
Both fast and slow configurations of rotating neutron stars (NSs) are studied with the recently-constructed unified NS EoSs. The calculations for pure quark stars (QSs) and hybrid…
Boosting Adversarial Transferability with Low-Cost Optimization via Maximin Expected Flatness
Chunlin Qiu, Ang Li, Yiheng Duan +4
Transfer-based attacks craft adversarial examples on white-box surrogate models and directly deploy them against black-box target models, offering model-agnostic and query-free thr…
Constraining hadron-quark phase transition parameters within the quark-mean-field model using multimessenger observations of neutron stars
Zhiqiang Miao, Ang Li, Zhenyu Zhu +1
We extend the quark mean-field (QMF) model for nuclear matter and study the possible presence of quark matter inside the cores of neutron stars. A sharp first-order hadron-quark ph…
Towards Model Generalization for Monocular 3D Object Detection
Zhenyu Li, Zehui Chen, Ang Li +4
Monocular 3D object detection (Mono3D) has achieved tremendous improvements with emerging large-scale autonomous driving datasets and the rapid development of deep learning techniq…
Cryogenic hyperabrupt strontium titanate varactors for sensitive reflectometry of quantum dots
Rafael S. Eggli, Simon Svab, Taras Patlatiuk +8
Radio frequency reflectometry techniques enable high bandwidth readout of semiconductor quantum dots. Careful impedance matching of the resonant circuit is required to achieve high…
Secure Interference Exploitation Precoding in MISO Wiretap Channel: Destructive Region Redefinition with Efficient Solutions
Ye Fan, Xuewen Liao, Ang Li +1
In this paper, we focus on the physical layer security for a K-user multiple-input-single-output (MISO) wiretap channel in the presence of a malicious eavesdropper, where we propos…
Unified QMF equation of state for neutron star matter: Static and dynamic properties
Zhonghao Tu, Xiangdong Sun, Shuochong Han +2
We construct a set of unified equations of state based on the quark mean field (QMF) model, calibrated to different values of nuclear symmetry energy slope at the saturation densit…
Microarchitectures for Heterogeneous Superconducting Quantum Computers
Samuel Stein, Sara Sussman, Teague Tomesh +12
Noisy Intermediate-Scale Quantum Computing (NISQ) has dominated headlines in recent years, with the longer-term vision of Fault-Tolerant Quantum Computation (FTQC) offering signifi…
Tableau-Based Framework for Efficient Logical Quantum Compilation
Meng Wang, Chenxu Liu, Sean Garner +4
Quantum computing holds the promise of solving problems intractable for classical computers, but practical large-scale quantum computation requires error correction to protect agai…
Characterizing User Susceptibility to COVID-19 Misinformation on Twitter
Xian Teng, Yu-Ru Lin, Wen-Ting Chung +2
Though significant efforts such as removing false claims and promoting reliable sources have been increased to combat COVID-19 "misinfodemic", it remains an unsolved societal chall…
Quark mean-field model for nuclear matter with or without bag
Zhen-Yu Zhu, Ang Li, Jin-Niu Hu +1
We propose the new quark mean-field bag (QMFB) model by incorporating the bag confinement mechanism in the original quark mean-field model. Nuclear matter and neutron star properti…
MERIT: Multimodal Wearable Vital Sign Waveform Monitoring
Yongyang Tang, Zhe Chen, Ang Li +6
Cardiovascular disease (CVD) is the leading cause of death and premature mortality worldwide, with occupational environments significantly influencing CVD risk, underscoring the ne…
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection
Xin Dong, Junfeng Guo, Ang Li +3
Various approaches have been proposed for out-of-distribution (OOD) detection by augmenting models, input examples, training sets, and optimization objectives. Deviating from exist…
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
Haoran You, Tong Geng, Yongan Zhang +2
Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art graph learning model. However, it can be notoriously challenging to inference GCNs over large graph dataset…
Low Complexity SLP: An Inversion-Free, Parallelizable ADMM Approach
Junwen Yang, Ang Li, Xuewen Liao +1
We propose a parallel constructive interference (CI)-based symbol-level precoding (SLP) approach for massive connectivity in the downlink of multiuser multiple-input single-output…
A special Higgs challenge: Measuring the mass and production cross section with ultimate precision at FCC-ee
Paolo Azzurri, Gregorio Bernardi, Sylvie Braibant +5
The FCC-ee offers powerful opportunities to determine the Higgs boson parameters, exploiting over events and almost events at c…
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation (Extended Version)
Yuansan Liu, Sudanthi Wijewickrema, Ang Li +3
Generating time series data is a promising approach to address data deficiency problems. However, it is also challenging due to the complex temporal properties of time series data,…
Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G
Zhihui Gao, Ang Li, Yunfan Gao +2
With the incoming 5G network, the ubiquitous Internet of Things (IoT) devices can benefit our daily life, such as smart cameras, drones, etc. With the introduction of the millimete…
SymBreak: Mitigating Quantum Degeneracy Issues in QLDPC Code Decoders by Breaking Symmetry
Keyi Yin, Xiang Fang, Jixuan Ruan +7
Quantum error correction (QEC) is critical for scalable and reliable quantum computing, but existing solutions, such as surface codes, incur significant qubit overhead. Quantum low…
MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization
Yiting Wang, Wanghao Ye, Yexiao He +3
This paper presents MCP4EDA, the first Model Context Protocol server that enables Large Language Models (LLMs) to control and optimize the complete open-source RTL-to-GDSII design…
Neutron star equation of state from the quark level in the light of GW170817
Zhen-Yu Zhu, En-Ping Zhou, Ang Li
Matter state inside neutron stars is an exciting problem in astrophysics, nuclear physics and particle physics. The equation of state (EOS) of neutron stars plays a crucial role in…
QECC-Synth: A Layout Synthesizer for Quantum Error Correction Codes on Sparse Hardware Architectures
Keyi Yin, Hezi Zhang, Xiang Fang +4
Quantum Error Correction (QEC) codes are essential for achieving fault-tolerant quantum computing (FTQC). However, their implementation faces significant challenges due to disparit…
BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision
Ang Li, Chang Gao
Extended Reality (XR) wearables require always-on perception within tight power envelopes of a few watts and motion-to-photon latency budgets below 20 ms, leaving only a few millis…
Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation
Ziyao Wang, Guoheng Sun, Yexiao He +3
Commercial LLM services often conceal internal reasoning traces while still charging users for every generated token, including those from hidden intermediate steps, raising concer…
Multiplexing More Streams in the MU-MISO Downlink by Interference Exploitation Precoding
Ang Li, Christos Masouros, Yonghui Li +1
In this paper, we study the interference exploitation precoding for the scenario where the number of streams simultaneously transmitted by the base station (BS) is larger than that…
Learning Visual N-Grams from Web Data
Ang Li, Allan Jabri, Armand Joulin +1
Real-world image recognition systems need to recognize tens of thousands of classes that constitute a plethora of visual concepts. The traditional approach of annotating thousands…
Generating Holistic 3D Scene Abstractions for Text-based Image Retrieval
Ang Li, Jin Sun, Joe Yue-Hei Ng +3
Spatial relationships between objects provide important information for text-based image retrieval. As users are more likely to describe a scene from a real world perspective, usin…
Growth and Strain Relaxation Mechanisms of InAs/InP/GaAsSb Core-Dual-Shell Nanowires
Omer Arif, Valentina Zannier, Ang Li +4
The combination of core/shell geometry and band gap engineering in nanowire heterostructures can be employed to realize systems with novel transport and optical properties. Here, w…
Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning
Ang Li, Zhihang Yuan, Yang Zhang +2
Reinforcement Learning with Verifiable Feedback (RLVF) has become a key technique for enhancing the reasoning abilities of Large Language Models (LLMs). However, its reliance on sp…
Towards counterfactual fairness through auxiliary variables
Bowei Tian, Ziyao Wang, Shwai He +5
The challenge of balancing fairness and predictive accuracy in machine learning models, especially when sensitive attributes such as race, gender, or age are considered, has motiva…
A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors
Muqing Zheng, Ang Li, Tamás Terlaky +1
Various noise models have been developed in quantum computing study to describe the propagation and effect of the noise which is caused by imperfect implementation of hardware. Ide…
CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Designed Adaptive Lossy Compression
Chengming Zhang, Sian Jin, Tong Geng +3
As HPC systems continue to grow to exascale, the amount of data that needs to be saved or transmitted is exploding. To this end, many previous works have studied using error-bounde…
Short-Term and Long-Term Context Aggregation Network for Video Inpainting
Ang Li, Shanshan Zhao, Xingjun Ma +5
Video inpainting aims to restore missing regions of a video and has many applications such as video editing and object removal. However, existing methods either suffer from inaccur…
Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization
Zejia Weng, Xitong Yang, Ang Li +2
Contrastive Language-Image Pretraining (CLIP) has demonstrated impressive zero-shot learning abilities for image understanding, yet limited effort has been made to investigate CLIP…
Bounds on Causal Effects and Application to High Dimensional Data
Ang Li, Judea Pearl
This paper addresses the problem of estimating causal effects when adjustment variables in the back-door or front-door criterion are partially observed. For such scenarios, we deri…
In-medium effects of nucleon-nucleon cross sections in heavy-ion collisions
Shuochong Han, Xinle Shang, Wei Zuo +2
Based on the isospin-dependent Boltzmann-Uehling-Uhlenbeck transport model, we systematically investigate the in-medium effects of nucleon-nucleon () cross sections on nucleoni…
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective
Binghui Wang, Jiayi Guo, Ang Li +2
Learning with graphs has attracted significant attention recently. Existing representation learning methods on graphs have achieved state-of-the-art performance on various graph-re…
The stable Picard group of finite Adams Hopf algebroids with an application to the -motivic Steenrod subalgebra
Xu Gao, Ang Li
In this paper, we investigate the rigidity of the stable comodule category of a specific class of Hopf algebroids known as finite Adams, shedding light on its Picard group. Then we…
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction
Ang Li, Qiangchao Chen, Yiquan Wu +4
Confusing charge prediction is a challenging task in legal AI, which involves predicting confusing charges based on fact descriptions. While existing charge prediction methods have…
QASMTrans: An End-to-End QASM Compilation Framework with Pulse Generation for Near-Term Quantum Devices
Aaron Hoyt, Meng Wang, Fei Hua +8
QASMTrans is a lightweight, high-performance, C++-based quantum compiler that bridges abstract quantum algorithms to device-level control and is designed for just-in-time (JIT) dep…
Research Team Identification Based on Representation Learning of Academic Heterogeneous Information Network
Junfu Wang, Yawen Li, Zhe Xue +1
Academic networks in the real world can usually be described by heterogeneous information networks composed of multiple types of nodes and relationships. Existing representation-le…
Beyond Autoregressive RTG: Conditioning via Injection Outside Sequential Modeling in Decision Transformer
Yongyi Wang, Hanyu Liu, Lingfeng Li +6
Decision Transformer (DT) formulates offline reinforcement learning as autoregressive sequence modeling, achieving promising results by predicting actions from a sequence of Return…
Two-flavor color superconducting quark stars may not exist
Wen-Li Yuan, Ang Li
Large uncertainties in the determinations of the equation of state of dense stellar matter allow the intriguing possibility that the bulk quark matter in beta equilibrium might be…
Unleashed from Constrained Optimization: Quantum Computing for Quantum Chemistry Employing Generator Coordinate Inspired Method
Muqing Zheng, Bo Peng, Ang Li +2
Hybrid quantum-classical approaches offer potential solutions to quantum chemistry problems, yet they often manifest as constrained optimization problems. Here, we explore the inte…
FAIR Universe HiggsML Uncertainty Dataset and Competition
Lisa Benato, Wahid Bhimji, Paolo Calafiura +26
The FAIR Universe HiggsML Uncertainty Challenge focused on measuring the physical properties of elementary particles with imperfect simulators. Participants were required to comput…
Beyond Local vs. External: A Game-Theoretic Framework for Trustworthy Knowledge Acquisition
Rujing Yao, Yufei Shi, Yang Wu +5
Cloud-hosted Large Language Models (LLMs) offer unmatched reasoning capabilities and dynamic knowledge, yet submitting raw queries to these external services risks exposing sensiti…
MARS: Malleable Actor-Critic Reinforcement Learning Scheduler
Betis Baheri, Jacob Tronge, Bo Fang +3
In this paper, we introduce MARS, a new scheduling system for HPC-cloud infrastructures based on a cost-aware, flexible reinforcement learning approach, which serves as an intermed…
Beam Allocation for Millimeter-Wave MIMO Tracking Systems
Deyou Zhang, Ang Li, He Chen +4
In this paper, we propose a new beam allocation strategy aiming to maximize the average successful tracking probability (ASTP) of time-varying millimeter-wave MIMO systems. In cont…
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Yuri Alexeev, Maximilian Amsler, Paul Baity +124
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones
Ang Li, Jiayi Guo, Huanrui Yang +2
Deep learning has been widely applied in many computer vision applications, with remarkable success. However, running deep learning models on mobile devices is generally challengin…
Precisely aligned graphene grown on hexagonal boron nitride by catalyst free chemical vapor deposition
Shujie Tang, Haomin Wang, Yu Zhang +8
To grow precisely aligned graphene on h-BN without metal catalyst is extremely important, which allows for intriguing physical properties and devices of graphene/h-BN hetero-struct…
OneAdapt: Adaptive Compilation for Resource-Constrained Photonic One-Way Quantum Computing
Hezi Zhang, Jixuan Ruan, Dean Tullsen +3
Measurement-based quantum computing (MBQC), a.k.a. one-way quantum computing (1WQC), is a universal quantum computing model, which is particularly well-suited for photonic platform…
PhotoSafer: Content-Based and Context-Aware Private Photo Protection for Smartphones
Ang Li, David Darling, Qinghua Li
Nowadays many people store photos in smartphones. Many of the photos contain sensitive, private information, such as a photocopy of driver's license and credit card. An arising pri…
Phase Diagram and Weak-link Behavior in Nd-doped CaFe_2As_2
Bo Gao, Xiaojiang Li, Qiucheng Ji +5
The transport properties, phase diagram, and dopant distribution are investigated in systematically Nd doped CaFe_2As_2 single crystals. Coexistence of two superconducting (SC) pha…
The Effectiveness of Memory Replay in Large Scale Continual Learning
Yogesh Balaji, Mehrdad Farajtabar, Dong Yin +2
We study continual learning in the large scale setting where tasks in the input sequence are not limited to classification, and the outputs can be of high dimension. Among multiple…
Towards Stepwise Domain Knowledge-Driven Reasoning Optimization and Reflection Improvement
Chengyuan Liu, Shihang Wang, Lizhi Qing +7
Recently, stepwise supervision on Chain of Thoughts (CoTs) presents an enhancement on the logical reasoning tasks such as coding and math, with the help of Monte Carlo Tree Search…
Enabling Augmented Segmentation and Registration in Ultrasound-Guided Spinal Surgery via Realistic Ultrasound Synthesis from Diagnostic CT Volume
Ang Li, Jiayi Han, Yongjian Zhao +2
This paper aims to tackle the issues on unavailable or insufficient clinical US data and meaningful annotation to enable bone segmentation and registration for US-guided spinal sur…
On Provable Backdoor Defense in Collaborative Learning
Ximing Qiao, Yuhua Bai, Siping Hu +3
As collaborative learning allows joint training of a model using multiple sources of data, the security problem has been a central concern. Malicious users can upload poisoned data…
Social Network Community Detection Based on Textual Content Similarity and Sentimental Tendency
Jie Gao, Junping Du, Yingxia Shao +2
Shared travel has gradually become one of the hot topics discussed on social networking platforms such as Micro Blog. In a timely manner, deeper network community detection on the…
VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation
Yiting Wang, Guoheng Sun, Wanghao Ye +2
Automating Register Transfer Level (RTL) code generation using Large Language Models (LLMs) offers substantial promise for streamlining digital circuit design and reducing human ef…
MindCraft: How Concept Trees Take Shape In Deep Models
Bowei Tian, Yexiao He, Wanghao Ye +3
Large-scale foundation models demonstrate strong performance across language, vision, and reasoning tasks. However, how they internally structure and stabilize concepts remains elu…
SymmNet: A Symmetric Convolutional Neural Network for Occlusion Detection
Ang Li, Zejian Yuan
Detecting the occlusion from stereo images or video frames is important to many computer vision applications. Previous efforts focus on bundling it with the computation of disparit…
Hybrid continuous-discrete-variable quantum computing: a guide to utility
A. F. Kemper, Antonios Alvertis, Muhammad Asaduzzaman +24
Quantum computing has traditionally centered around the discrete variable paradigm. A new direction is the inclusion of continuous variable modes and the consideration of a hybrid…
WisdomInterrogatory (LuWen): An Open-Source Legal Large Language Model Technical Report
Yiquan Wu, Yuhang Liu, Yifei Liu +4
Large language models have demonstrated remarkable capabilities across a wide range of natural language processing tasks, yet their application in the legal domain remains challeng…
F2: Offline Reinforcement Learning for Hamiltonian Simulation via Free-Fermionic Subroutine Compilation
Ethan Decker, Christopher Watson, Junyu Zhou +5
Compiling shallow and accurate quantum circuits for Hamiltonian simulation remains challenging due to hardware constraints and the combinatorial complexity of minimizing gate count…
Closed-Loop Magnetic Manipulation for Robotic Transesophageal Echocardiography
Keyu Li, Yangxin Xu, Ziqi Zhao +2
This paper presents a closed-loop magnetic manipulation framework for robotic transesophageal echocardiography (TEE) acquisitions. Different from previous work on intracorporeal ro…
FCC feasibility studies: Impact of tracker- and calorimeter-detector performance on jet flavor identification and Higgs physics analyses
Haider Abidi, Ketevi A. Assamagan, Diallo Boye +12
The extensive and ambitious physics program planned at the Future Circular Collider for electrons and positrons (FCC-ee) imposes strict constraints on detector performance. This wo…
Multiple testing with the structure adaptive Benjamini-Hochberg algorithm
Ang Li, Rina Foygel Barber
In multiple testing problems, where a large number of hypotheses are tested simultaneously, false discovery rate (FDR) control can be achieved with the well-known Benjamini-Hochber…
CoMET: A Contrastive-Masked Brain Foundation Model for Universal EEG Representation
Ang Li, Zikai Wang, Liuyin Yang +4
Electroencephalography (EEG) is a non-invasive technique for recording brain activity, widely used in brain-computer interfaces, clinic, and healthcare. Traditional EEG deep models…
Accurate and Data-Efficient Micro-XRD Phase Identification Using Multi-Task Learning: Application to Hydrothermal Fluids
Yanfei Li, Juejing Liu, Xiaodong Zhao +4
Traditional analysis of highly distorted micro-X-ray diffraction (μ-XRD) patterns from hydrothermal fluid environments is a time-consuming process, often requiring substantial dat…
CogniPair: From LLM Chatbots to Conscious AI Agents -- GNWT-Based Multi-Agent Digital Twins for Social Pairing -- Dating & Hiring Applications
Wanghao Ye, Sihan Chen, Yiting Wang +18
Current large language model (LLM) agents lack authentic human psychological processes necessary for genuine digital twins and social AI applications. To address this limitation, w…
Introenumerability, autoreducibility, and randomness
Ang Li
We define -autoreducible sets given an autoreduction procedure . Then, we show that for any , a measurable class of -autoreducible sets has measure zero. Using this…
Bayesian inference of quark star equation of state using the NICER PSR J0030+0451 data
Ang Li, Zhi-Qiang Miao, Jin-Liang Jiang +2
We constrain the equation of state of quark stars within the Bayesian statistical approach using the mass and radius measurements of PSR J0030+0451 from NICER. Three types of bag m…
Anisotropic Pauli spin blockade in hole quantum dots
Matthias Brauns, Joost Ridderbos, Ang Li +3
We present measurements on gate-defined double quantum dots in Ge-Si core-shell nanowires, which we tune to a regime with visible shell filling in both dots. We observe a Pauli spi…
MVStylizer: An Efficient Edge-Assisted Video Photorealistic Style Transfer System for Mobile Phones
Ang Li, Chunpeng Wu, Yiran Chen +1
Recent research has made great progress in realizing neural style transfer of images, which denotes transforming an image to a desired style. Many users start to use their mobile p…
VOID: Defeating Unauthorized Mimicry in Latent Diffusion Models
Chunlin Qiu, Ang Li, Tianxiao Huang +7
While Latent Diffusion Models (LDMs) have revolutionized visual synthesis, they are increasingly exploited for unauthorized mimicry of individuals. Existing defenses inject decepti…