Publications (49)
Thermal stress around a smooth cavity in a plate subjected to uniform heat flux
Zhaohang Lee, Yu Tang, Wennan Zou
The two-dimensional thermoelastic problem of an adiabatic cavity in an infinite isotropic homogeneous medium subjected to uniform heat flux is studied, where the shape of the cavit…
Observation of hidden altermagnetism in CsVTeO
Guowei Yang, Ruihan Chen, Changchao Liu +25
Altermagnets are characterized by anisotropic band/spin splittings in momentum space, dictated by their spin-space group symmetries. However, the real-space modulations of altermag…
A Deep Reinforcement Learning Approach for Ramp Metering Based on Traffic Video Data
Bing Liu, Yu Tang, Yuxiong Ji +2
Ramp metering that uses traffic signals to regulate vehicle flows from the on-ramps has been widely implemented to improve vehicle mobility of the freeway. Previous studies general…
Can the latent signatures of quantum superposition be detected through correlation harvesting?
Yu Tang, Wentao Liu, Zhilong Liu +1
In this paper, we explore correlation harvesting in quantum superposition, specifically focusing on the entanglement and mutual information extracted by two Unruh-DeWitt detectors…
Observational signature of Lorentz violation in acceleration radiation
Yu Tang, Wentao Liu, Jieci Wang
In recent years, Lorentz violation (LV) has emerged as a vibrant area of research in fundamental physics. Despite predictions from quantum gravity theories that Lorentz symmetry ma…
Robust Outlier Detection and Low-Latency Concept Drift Adaptation for Data Stream Regression: A Dual-Channel Architecture
Bingbing Wang, Shengyan Sun, Jiaqi Wang +1
Outlier detection and concept drift detection represent two challenges in data analysis. Most studies address these issues separately. However, joint detection mechanisms in regres…
Transfer Learning in Regression with Influential Points
Bingbing Wang, Jiaqi Wang, Yu Tang
Regression prediction plays a crucial role in practical applications and strongly relies on data annotation. However, due to prohibitive annotation costs or domain-specific constra…
Thermoelectric and stress distributions around a smooth cavity in thermoelectric material
Zhaohang Lee, Yu Tang, Wennan Zou
Thermoelectric materials have attracted more and more attention since they are friendly to the environment and have potentials for sustainable and renewable energy applications. As…
Vibration Control Design for Nonlinear Systems using Frequency Response Function
Suresh Thenozhi, Yu Tang
A nonlinear frequency response based adaptive vibration controller is proposed for a class of nonlinear mechanical systems. In order to obtain the nonlinear Frequency Response Func…
Response Analysis of Four-Level Heterodyne Rydberg Atom Receiver
Yu Tang, Siyuan Wang, Shuang Ren +3
The four-level heterodyne Rydberg atom receiver has garnered significant attention in microwave detection and communication due to its high sensitivity and phase measurement capabi…
Towards Safe and Robust Autonomous Vehicle Platooning: A Self-Organizing Cooperative Control Framework
Chengkai Xu, Zihao Deng, Jiaqi Liu +4
In hybrid traffic environments where human-driven vehicles (HDVs) and autonomous vehicles (AVs) coexist, achieving safe and robust decision-making for AV platooning remains a compl…
How Does Driver Non-compliance Destroy Traffic Routing Control?
Yu Tang, Li Jin, Kaan Ozbay
Routing control is one of important traffic management strategies against urban congestion. However, it could be compromised by heterogeneous driver non-compliance with routing ins…
FailureAtlas:Mapping the Failure Landscape of T2I Models via Active Exploration
Muxi Chen, Zhaohua Zhang, Chenchen Zhao +8
Static benchmarks have provided a valuable foundation for comparing Text-to-Image (T2I) models. However, their passive design offers limited diagnostic power, struggling to uncover…
Pricing is All You Need to Improve Traffic Routing
Yu Tang, Kaan Ozbay, Li Jin
We investigate the design of pricing policies that enhance driver adherence to route guidance, ensuring effective routing control. The major novelty lies in that we adopt a Markov…
DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation
Yu Tang, Chenyu Wang, Yufan Zhang +5
The further development of deep neural networks is hampered by the limited GPU memory resource. Therefore, the optimization of GPU memory resources is highly demanded. Swapping and…
How far have we gone in Generative Image Restoration? A study on its capability, limitations and evaluation practices
Xiang Yin, Jinfan Hu, Zhiyuan You +4
Generative Image Restoration (GIR) has achieved impressive perceptual realism, but how far have its practical capabilities truly advanced compared with previous methods? To answer…
GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework
Xuecheng Zou, Ke Liu, Bingbing Wang +3
Building upon the standard graph-based Retrieval-Augmented Generation (RAG), the introduction of heterogeneous graphs and hypergraphs aims to enrich retrieval and generation by lev…
Geo-ConvGRU: Geographically Masked Convolutional Gated Recurrent Unit for Bird-Eye View Segmentation
Guanglei Yang, Yongqiang Zhang, Wanlong Li +5
Convolutional Neural Networks (CNNs) have significantly impacted various computer vision tasks, however, they inherently struggle to model long-range dependencies explicitly due to…
Geometric Tracking on Based on Sliding Mode Control
Eduardo Espindola, Yu Tang
Attitude tracking on the unit sphere of dimension based on sliding mode is considered in this paper. The tangent bundle of Lagrangian dynamics that describes the rotational mot…
SAD: A Large-scale Dataset towards Airport Detection in Synthetic Aperture Radar Images
Daochang Wang, Fan Zhang, Fei Ma +3
Airports have an important role in both military and civilian domains. The synthetic aperture radar (SAR) based airport detection has received increasing attention in recent years.…
Resilient Control of Dynamic Flow Networks Subject to Stochastic Cyber-Physical Disruptions
Yu Tang, Li Jin
Modern network systems, such as transportation and communication systems, are prone to cyber-physical disruptions and thus suffer efficiency loss. This paper studies network resili…
Physics-informed Machine Learning for Calibrating Macroscopic Traffic Flow Models
Yu Tang, Li Jin, Kaan Ozbay
Well-calibrated traffic flow models are fundamental to understanding traffic phenomena and designing control strategies. Traditional calibration has been developed base on optimiza…
Morphis: SLO-Aware Resource Scheduling for Microservices with Time-Varying Call Graphs
Yu Tang, Hailiang Zhao, Chuansheng Lu +4
Modern microservice systems exhibit continuous structural evolution in their runtime call graphs due to workload fluctuations, fault responses, and deployment activities. Despite t…
Geometric Control of Mechanical Systems with Symmetries Based on Sliding Modes
Eduardo Espindola, Yu Tang
In this paper, we propose a framework for designing sliding mode controllers for a class of mechanical systems with symmetry, both unconstrained and constrained, that evolve on pri…
Application of Data-Driven Model Predictive Control for Autonomous Vehicle Steering
Jiarui Zhang, Aijing Kong, Yu Tang +3
With the development of autonomous driving technology, there are increasing demands for vehicle control, and MPC has become a widely researched topic in both industry and academia.…
Quantum advantage prediction in turbulent free-space quantum illumination
Yu Tang, Beining Xia, Qianqian Liu +3
Quantum illumination offers a significant theoretical advantage for target detection in high background noise environments. However, its practical deployment in free-space channels…
Optimum mixed level detecting arrays
Ce Shi, Yu Tang, Jianxing Yin
As a type of search design, a detecting array can be used to generate test suites to identify and detect faults caused by interactions of factors in a component-based system. Recen…
Semi-Supervised Learning for Visual Bird's Eye View Semantic Segmentation
Junyu Zhu, Lina Liu, Yu Tang +3
Visual bird's eye view (BEV) semantic segmentation helps autonomous vehicles understand the surrounding environment only from images, including static elements (e.g., roads) and dy…
Phonons and magnetism of kagome FeGe probed by nuclear resonant scattering
Yu Tang, Saizheng Cao, Sijie Xu +6
Kagome FeGe hosts a charge-density wave (CDW) that strongly interplays with antiferromagnetic order. Here, we report Fe nuclear resonant scattering measure…
Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
Yu Tang, Muhammad Zakwan, Efe Balta +2
The Flexible Job Shop Scheduling Problem (FJSP) is the optimal allocation of a set of jobs to machines. Two primary challenges persist in FJSP: the unpredictable arrival of future…
Attitude Tracking for Rigid Bodies Using Vector and Biased Gyro Measurements
Eduardo EspÃndola, Yu Tang
The rigid-body attitude tracking using vector and biased gyro measurements with unknown inertia matrix is studied in this note. First, a gyro-bias observer with global exponential…
Single Molecule Mixture: A Concept in Polymer Science
Yu Tang
In theory, there exist two extreme forms of substances: pure form and single-molecule mixture form. Single-molecule mixture form contains a mixture of molecules that have molecular…
Half-KFN: An Enhanced Detection Method for Subtle Covariate Drift
Bingbing Wang, Dong Xu, Yu Tang
Detecting covariate drift is a common task of significant practical value in supervised learning. Once covariate drift occurs, the models may no longer be applicable, hence numerou…
Median regression with differential privacy
E Chen, Ying Miao, Yu Tang
Median regression analysis has robustness properties which make it attractive compared with regression based on the mean, while differential privacy can protect individual privacy…
Split-as-a-Pro: behavioral control via operator splitting and alternating projections
Yu Tang, Carlo Cenedese, Alessio Rimoldi +3
The paper introduces Split-as-a-Pro, a control framework that integrates behavioral systems theory, operator splitting methods, and alternating projection algorithms. The framework…
P-ADMMiRNN: Training RNN with Stable Convergence via An Efficient and Paralleled ADMM Approach
Yu Tang, Zhigang Kan, Dequan Sun +4
It is hard to train Recurrent Neural Network (RNN) with stable convergence and avoid gradient vanishing and exploding problems, as the weights in the recurrent unit are repeated fr…
Resilient Ramp Control for Highways Facing Stochastic Perturbations
Yu Tang, Li Jin, Alexander A. Kurzhanskiy +1
Highway capacity is often subject to stochastic perturbations due to the combined effects of weather, traffic mixture, driver behavior, etc. This paper is motivated by the need of…
MoE-TTS: Enhancing Out-of-Domain Text Understanding for Description-based TTS via Mixture-of-Experts
Heyang Xue, Xuchen Song, Yu Tang +4
Description-based text-to-speech (TTS) models exhibit strong performance on in-domain text descriptions, i.e., those encountered during training. However, in real-world application…
GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuning
Kaiyuan Tian, Yu Tang, Gongqingjian Jiang +5
Full-parameter fine-tuning of large language models is constrained by substantial GPU memory requirements. Low-rank adaptation methods mitigate this challenge by updating only a su…
HunyuanVideo 1.5 Technical Report
Bing Wu, Chang Zou, Changlin Li +78
We present HunyuanVideo 1.5, a lightweight yet powerful open-source video generation model that achieves state-of-the-art visual quality and motion coherence with only 8.3 billion…
Security Risk Analysis of the Shorter-Queue Routing Policy for Two Symmetric Servers
Yu Tang, Yining Wen, Li Jin
In this article, we study the classical shortest queue problem under the influence of malicious attacks, which is relevant to a variety of engineering system including transportati…
Geometric sliding mode control of mechanical systems on Lie groups
Eduardo Espindola, Yu Tang
This paper presents a generalization of conventional sliding mode control designs for systems in Euclidean spaces to fully actuated simple mechanical systems whose configuration sp…
Robust Queue Length Estimation for Ramp Metering in a Connected Vehicle Environment
Yu Tang, Kaan Ozbay, Li Jin
Connected vehicles (CVs) can provide numerous new data via vehicle-to-vehicle or vehicle-to-infrastructure communication. These data can in turn be used to facilitate real-time tra…
SynergyKGC: Reconciling Topological Heterogeneity in Knowledge Graph Completion via Topology-Aware Synergy
Xuecheng Zou, Yu Tang, Bingbing Wang
Knowledge Graph Completion (KGC) fundamentally hinges on the coherent fusion of pre-trained entity semantics with heterogeneous topological structures to facilitate robust relation…
Capillary Rise in Tubes with Sharp Grooves
Lei-Han Tang, Yu Tang
Liquid in grooved capillaries, made by e.g. inserting a plate in a cylindrical tube, exhibits unusual spreading and flow properties. One example is capillary rise, where a long, up…
A Perception-feedback position-tracking control for quadrotors
Eduardo Espindola, Yu Tang
In this paper a position-tracking controller for quadrotors based on perception feedback is developed, which directly uses measurements from onboard sensors such as low cost IMUs a…
Microheterogeneity and Single-Molecule Mixture Science: An Introduction
Yu Tang
Microheterogeneity, as a fundamental natural property, is widely presented in a range of microscopic systems such as polymer systems, biomacromolecular systems, and nanosystems, ho…
A Novel Four-DOF Lagrangian Approach to Attitude Tracking for Rigid Spacecraft
Eduardo EspÃndola, Yu Tang
This paper presents a novel Lagrangian approach to attitude tracking for rigid spacecraft using unit quaternions, where the motion equations of a spacecraft are described by a four…
Uniform fractional factorial designs
Yu Tang, Hongquan Xu, Dennis K. J. Lin
The minimum aberration criterion has been frequently used in the selection of fractional factorial designs with nominal factors. For designs with quantitative factors, however, lev…