Publications (29)
A Survey of Neural Network Robustness Assessment in Image Recognition
Jie Wang, Jun Ai, Minyan Lu +5
In recent years, there has been significant attention given to the robustness assessment of neural networks. Robustness plays a critical role in ensuring reliable operation of arti…
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset
Zhiwei Ma, Haojie Li, Zhihui Wang +5
With the development of underwater object grabbing technology, underwater object recognition and segmentation of high accuracy has become a challenge. The existing underwater objec…
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
Zhihui Zhao, Xiaorong Dong, Yimo Ren +4
Federated learning is an essential distributed model training technique. However, threats such as gradient inversion attacks and poisoning attacks pose significant risks to the pri…
Precision Higgs Physics at CEPC
Fenfen An, Yu Bai, Chunhui Chen +68
The discovery of the Higgs boson with its mass around 125 GeV by the ATLAS and CMS Collaborations marked the beginning of a new era in high energy physics. The Higgs boson will be…
A 5' UTR Language Model for Decoding Untranslated Regions of mRNA and Function Predictions
Yanyi Chu, Dan Yu, Yupeng Li +5
The 5' UTR, a regulatory region at the beginning of an mRNA molecule, plays a crucial role in regulating the translation process and impacts the protein expression level. Language…
5-dimensional Brans-Dicke Theory and Cosmic Acceleration
Li-e Qiang, Yongge Ma, Muxin Han +1
We consider a 5-dimensional scalar-tensor theory which is a direct generalization of the original 4-dimensional Brans-Dicke theory to 5-dimensions. By assuming that there is a hype…
Novel Subsampling Strategies for Heavily Censored Reliability Data
Yixiao Ruan, Zan Li, Zhaohui Li +3
Computational capability often falls short when confronted with massive data, posing a common challenge in establishing a statistical model or statistical inference method dealing…
Reconstruction of physics objects at the Circular Electron Positron Collider with Arbor
Manqi Ruan, Hang Zhao, Gang Li +16
After the Higgs discovery, precise measurements of the Higgs properties and the electroweak observables become vital for the experimental particle physics. A powerful Higgs/Z facto…
Decoupled Data Based Approach for Learning to Control Nonlinear Dynamical Systems
Ran Wang, Karthikeya Parunandi, Dan Yu +2
This paper addresses the problem of learning the optimal control policy for a nonlinear stochastic dynamical system with continuous state space, continuous action space and unknown…
A Randomized Proper Orthogonal Decomposition Technique
Dan Yu, Suman Chakravorty
In this paper, we consider the problem of model reduction of large scale systems, such as those obtained through the discretization of PDEs. We propose a randomized proper orthogon…
Achieving Max-Min Throughput in LoRa Networks
Jiangbin Lyu, Dan Yu, Liqun Fu
With growing popularity, LoRa networks are pivotally enabling Long Range connectivity to low-cost and power-constrained user equipments (UEs). Due to its wide coverage area, a crit…
Breaking the Secret: Economic Interventions for Combating Collusion in Embodied Multi-Agent Systems
Qi Liu, Xiaohui Chen, Zhihui Zhao +5
Collusion among autonomous agents poses a critical security threat in embodied multi-agent systems (MAS), where coordinated behaviors can deviate from global objectives and lead to…
EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy
Yichun Yu, Yuqing Lan, Zhihuan Xing +3
High-resolution remote sensing (HRRS) image segmentation is challenging due to complex spatial layouts and diverse object appearances. While CNNs excel at capturing local features,…
Mining Compressed Repetitive Gapped Sequential Patterns Efficiently
Yongxin Tong, Li Zhao, Dan Yu +2
Mining frequent sequential patterns from sequence databases has been a central research topic in data mining and various efficient mining sequential patterns algorithms have been p…
A Separation-Based Design to Data-Driven Control for Large-Scale Partially Observed Systems
Dan Yu, Mohammadhussein Rafieisakhaei, Suman Chakravorty
This paper studies the partially observed stochastic optimal control problem for systems with state dynamics governed by Partial Differential Equations (PDEs) that leads to an extr…
Intention Knowledge Graph Construction for User Intention Relation Modeling
Jiaxin Bai, Zhaobo Wang, Junfei Cheng +8
Understanding user intentions is challenging for online platforms. Recent work on intention knowledge graphs addresses this but often lacks focus on connecting intentions, which is…
CEPC Research Report: Higgs Physics Analysis
Manqi Ruan, Yaquan Fang, Gang Li +1
In November 2018, the CEPC released the Conceptual Design Report (CDR) with the physics potential investigation and the analysis about different detector concepts. Since then, inte…
A Separation-based Approach to Data-based Control for Large-Scale Partially Observed Systems
Dan Yu, Mohammadhussein Rafieisakhaei, Suman Chakravorty
This paper studies the partially observed stochastic optimal control problem for systems with state dynamics governed by partial differential equations (PDEs) that leads to an extr…
A Decoupled Data Based Approach to Stochastic Optimal Control Problems
Dan Yu, Mohammandhussen Rafieisakhaei, Suman Chakravorty
This paper studies the stochastic optimal control problem for systems with unknown dynamics. A novel decoupled data based control (D2C) approach is proposed, which solves the probl…
Analysis and Optimization for Large-Scale LoRa Networks: Throughput Fairness and Scalability
Jiangbin Lyu, Dan Yu, Liqun Fu
LoRa networks are pivotally enabling Long Range connectivity to low-cost and power-constrained user equipments (UEs) in a wide area, whereas a critical issue is to effectively allo…
Lepton identification at particle flow oriented detector for the future Higgs factories
Dan Yu, Manqi Ruan, Vincent Boudry +1
The lepton identification is essential for the physics programs at high-energy frontier, especially for the precise measurement of the Higgs boson. For this purpose, a Toolkit for…
An autoregressive (AR) model based stochastic unknown input realization and filtering technique
Dan Yu, Suman Chakravorty
This paper studies the state estimation problem of linear discrete-time systems with stochastic unknown inputs. The unknown input is a wide-sense stationary process while no other…
Analysis of at CEPC
Taifan Zheng, Ji Xu, Lu Cao +5
The precise determination of the branching ratio provides an advantageous opportunity for understanding the electroweak structure of the Standard Model, measuring…
Stochastic Feedback Control of Systems with Unknown Nonlinear Dynamics
Dan Yu, Mohammadhussein Rafieisakhaei, Suman Chakravorty
This paper studies the stochastic optimal control problem for systems with unknown dynamics. First, an open-loop deterministic trajectory optimization problem is solved without kno…
Superconductivity and Charge-density-wave-like Transition in Th2Cu4As5
Qing-Chen Duan, Shao-Hua Liu, Bai-Zhuo Li +20
We report the synthesis, crystal structure, and physical properties of a novel ternary compound, ThCuAs. The material crystallizes in a tetragonal structure with lattic…
Lepton identification performance in Jets at a future electron positron Higgs Z factory
Dan Yu, Taifan Zheng, Manqi Ruan
Identifying the leptons inside jets is critical for the measurements of Higgs boson and the flavor physics program at the CEPC, a proposed Higgs/Z factory with the main ring circum…
Higgs to analysis in the future Higgs factories
Dan Yu, Manqi Ruan, Vincent Boudry +2
The Circular Electron Positron Collider and International Linear Collider are two electron positron Higgs factories. They are designed to operate at center-of-mass energy of 240 an…
The Higgs Signatures at the CEPC CDR Baseline
Hang Zhao, Yong-Feng Zhu, Cheng-Dong Fu +2
As a Higgs factory, The CEPC (Circular Electron-Positron Collider) project aims at the precise measurement of the Higgs boson properties. A baseline detector concept, APODIS (A PFA…
A Computationally Optimal Randomized Proper Orthogonal Decomposition Technique
Dan Yu, Suman Chakravorty
In this paper, we consider the model reduction problem of large-scale systems, such as systems obtained through the discretization of partial differential equations. We propose a c…