Publications (26)
Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning
Xuan Zhou, Xiang Shi, Lele Zhang +5
To improve the efficiency of warehousing system and meet huge customer orders, we aim to solve the challenges of dimension disaster and dynamic properties in hyper scale multi-robo…
Dominance Regions of Pursuit-evasion Games in Non-anticipative Information Patterns
Weiwen Huang, Li Liang, Ningsheng Xu +1
The evader's dominance region is an important concept and the foundation of geometric methods for pursuit-evasion games. This article mainly reveals the relevant properties of the…
Adversarial Training for Robust Coverage Network under Worst-case Facility Losses
Changhao Miao, Yuntian Zhang, Tongyu Wu +2
The Maximal Covering Location-Interdiction Problem (MCLIP) is a classic bi-level optimization problem, which is fundamental to resilient infrastructure planning yet remains computa…
Data-driven Control Against False Data Injection Attacks
Wenjie Liu, Lidong Li, Jian Sun +3
The rise of cyber-security concerns has brought significant attention to the analysis and design of cyber-physical systems (CPSs). Among the various types of cyberattacks, denial-o…
Distributed Noise Covariance Matrices Estimation in Sensor Networks
Jiahong Li, Nan Ma, Fang Deng
Adaptive algorithms based on in-network processing over networks are useful for online parameter estimation of historical data (e.g., noise covariance) in predictive control and ma…
VitaTouch: Property-Aware Vision-Tactile-Language Model for Robotic Quality Inspection in Manufacturing
Junyi Zong, Qingxuan Jia, Meixian Shi +5
Quality inspection in smart manufacturing requires identifying intrinsic material and surface properties beyond visible geometry, yet vision-only methods remain vulnerable to occlu…
End-to-End Code-Switching ASR for Low-Resourced Language Pairs
Xianghu Yue, Grandee Lee, Emre Yılmaz +2
Despite the significant progress in end-to-end (E2E) automatic speech recognition (ASR), E2E ASR for low resourced code-switching (CS) speech has not been well studied. In this wor…
Dimensions of Biquadratic and Bicubic Spline Spaces over Hierarchical T-meshes
Chao Zeng, Fang Deng, Xin Li +1
This paper discusses the dimensions of biquadratic C1 spline spaces and bicubic C2 spline spaces over hierarchical T-meshes using the smoothing cofactor-conformality method. We obt…
In-Context Adaptation to Concept Drift for Learned Database Operations
Jiaqi Zhu, Shaofeng Cai, Yanyan Shen +3
Machine learning has demonstrated transformative potential for database operations, such as query optimization and in-database data analytics. However, dynamic database environment…
MAD: Mapping-Aware World Models for Agile Quadrotor Flight
Xinhong Zhang, Runqing Wang, Yunfan Ren +6
Agile quadrotor flight in cluttered scenes requires more than a reactive mapping from a depth image to a control command: the vehicle must remember which regions have been observed…
Two-Way Garment Transfer: Unified Diffusion Framework for Dressing and Undressing Synthesis
Angang Zhang, Fang Deng, Hao Chen +2
While recent advances in virtual try-on (VTON) have achieved realistic garment transfer to human subjects, its inverse task, virtual try-off (VTOFF), which aims to reconstruct cano…
An End-to-End Learning Approach for Solving Capacitated Location-Routing Problems
Changhao Miao, Yuntian Zhang, Tongyu Wu +2
The capacitated location-routing problems (CLRPs) are classical problems in combinatorial optimization, which require simultaneously making location and routing decisions. In CLRPs…
A RankNet-Inspired Surrogate-Assisted Hybrid Metaheuristic for Expensive Coverage Optimization
Tongyu Wu, Changhao Miao, Yuntian Zhang +2
Coverage optimization generally involves deploying a set of facilities to best satisfy the demands of specified points, with broad applications in fields such as location science a…
Attitude Tracking of Uncertain Flexible Spacecraft Systems Subject to Unknown External Disturbances
Zean Bao, Maobin Lu, Fang Deng +1
In this paper, we investigate the attitude tracking problem of uncertain flexible spacecraft systems subject to external disturbances. In sharp contrast to existing results, the dy…
Value of Multi-pursuer Single-evader Pursuit-evasion Game with Terminal Cost of Evader's Position: Relaxation of Convexity Condition
Weiwen Huang, Li Liang, Ningsheng Xu +1
In this study, we consider a multi-pursuer single-evader quantitative pursuit-evasion game with payoff function that includes only the terminal cost. The terminal cost is a functio…
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection
Jiaqi Zhu, Shaofeng Cai, Fang Deng +2
Real-time analytics and decision-making require online anomaly detection (OAD) to handle drifts in data streams efficiently and effectively. Unfortunately, existing approaches are…
High quality Fe1+yTe synthesized by chemical vapor deposition with conspicuous vortex flow
Lu Lv, Lihong Hu, Weikang Dong +12
Two-dimensional (2D) materials provide an ideal platform to explore novel superconducting behavior including Ising superconductivity, topological superconductivity and Majorana bou…
Feeling the Unexpected: ResTacVLA for Contact-Rich Manipulation via Residual Tactile Representation
Pengwei Zhang, Bin Xie, Ce Hao +5
Tactile perception is indispensable for contact-rich manipulation, yet integrating it into Vision-Language-Action (VLA) models often induces modality collapse, where high-bandwidth…
Catching Every Ripple: Enhanced Anomaly Awareness via Dynamic Concept Adaptation
Jiaqi Zhu, Shaofeng Cai, Jie Chen +3
Online anomaly detection (OAD) plays a pivotal role in real-time analytics and decision-making for evolving data streams. However, existing methods often rely on costly retraining…
Optimal Output Feedback Learning Control for Discrete-Time Linear Quadratic Regulation
Kedi Xie, Martin Guay, Shimin Wang +2
This paper studies the linear quadratic regulation (LQR) problem of unknown discrete-time systems via dynamic output feedback learning control. In contrast to the state feedback, t…
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection
Jiaqi Zhu, Shaofeng Cai, Fang Deng +2
Large vision-language models (LVLMs) are markedly proficient in deriving visual representations guided by natural language. Recent explorations have utilized LVLMs to tackle zero-s…
Space Mapping of Spline Spaces over Hierarchical T-meshes
Jingjing Liu, Fang Deng, Jiansong Deng
In this paper, we construct a bijective mapping between a biquadratic spline space over the hierarchical T-mesh and the piecewise constant space over the corresponding crossing-ver…
Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts
Changhao Miao, Yuntian Zhang, Tongyu Wu +2
In recent years, Deep Reinforcement Learning (DRL) has achieved substantial progress on Vehicle Routing Problems (VRPs). However, existing DRL-based methods are typically trained o…
Outlier-robust Autocovariance Least Square Estimation via Iteratively Reweighted Least Square
Jiahong Li, Fang Deng
The autocovariance least squares (ALS) method is a computationally efficient approach for estimating noise covariances in Kalman filters without requiring specific noise models. Ho…
Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models
Yue Han, Chong Li, Zhening Liu +5
Recent 3D generative models can synthesize high-quality geometry but often struggle to reproduce intricate textures from reference images, largely due to the scarcity of large-scal…
Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning
Runqing Wang, Gang Wang, Jian Sun +2
Flexible manufacturing has given rise to complex scheduling problems such as the flexible job shop scheduling problem (FJSP). In FJSP, operations can be processed on multiple machi…