Publications (23)
Determining the NJL Coupling and AMM in Magnetized QCD Matter via Machine Learning
Zigeng Ding, Fan Lin, Xinyang Wang
In this study, we investigate the phase structure of magnetized QCD matter by determining the field-dependent parameters of the Nambu-Jona-Lasinio (NJL) model through a physics-inf…
Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA
Mind Lab, :, Vin Bo +74
Macaron-V1 is an open agent-model family for experiential intelligence: learning from experience in real environments and continuing to learn after deployment. It is organized arou…
Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation
Hong Chen, Pengcheng Wu, Yuanguo Lin +4
We rethink Federated Learning (FL) from a nested learning perspective, framing the core challenge as how to collaboratively learn optimization rules, not just static models, to tac…
RemoteChess: Enhancing Older Adults' Social Connectedness via Designing a Virtual Reality Chinese Chess (Xiangqi) Community
Qianjie Wei, Xiaoying Wei, Yiqi Liang +3
The decline of social connectedness caused by distance and physical limitations severely affects older adults' well-being and mental health. While virtual reality (VR) is promising…
MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems
Dewei Liu, Chuan He, Xin Peng +6
Availability issues of industrial microservice systems (e.g., drop of successfully placed orders and processed transactions) directly affect the running of the business. These issu…
Diffusion Model for Camouflaged Object Detection
Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang +1
Camouflaged object detection is a challenging task that aims to identify objects that are highly similar to their background. Due to the powerful noise-to-image denoising capabilit…
Transfer Learning Based Multi-Objective Genetic Algorithm for Dynamic Community Detection
Jungang Zou, Fan Lin, Siyu Gao +3
Dynamic community detection is the hotspot and basic problem of complex network and artificial intelligence research in recent years. It is necessary to maximize the accuracy of cl…
Photon emission from weakly magnetized neutral pions
Xinyang Wang, Fan Lin, Igor Shovkovy
Using a hadronic framework, we derive an explicit expression for photon production from neutral pions in a weak background magnetic field. Our calculation is built on the proton tr…
Baryon Construction with Meson Field
Fan Lin, Yong-Liang Ma
In the low-energy regime, baryons with have long been constructed as skyrmions or through bag models, but such constructions for are hindered by the trivial…
Magnetism of QCD matter and pion mass from tensor-type spin polarization and anomalous magnetic moment of quarks
Fan Lin, Kun Xu, Mei Huang
We investigate the magnetism of QCD matter and pion mass under magnetic field considering the contribution from the tensor-type spin polarization and the anomalous magnetic moment…
Baryons as Vortexes on the Domain Wall
Fan Lin, Yong-Liang Ma
We show that the recent construction of baryons on the domain wall can be understood as vortexes of the principal effective theory -- the Chern-Simons-Higgs the…
A Survey on Reinforcement Learning for Recommender Systems
Yuanguo Lin, Yong Liu, Fan Lin +5
Recommender systems have been widely applied in different real-life scenarios to help us find useful information. In particular, Reinforcement Learning (RL) based recommender syste…
RG-Consistent (P)NJL Model: Impact of Thermal Cutoff Modifications on Thermodynamics and Net-Baryon Number Fluctuations
Jie Tang, Fan Lin, Xinyang Wang
In this paper, we investigate the impact of renormalization group (RG) consistency on the chiral phase transition and thermodynamic properties of QCD matter using the RGNJL and RGP…
Polarization and Splitting Induced by Rotation and Magnetic Field
Kun Xu, Fan Lin, Anping Huang +1
The global polarization of and the splitting of polarization induced by rotation and magnetic field has been investigated in a dynamical quark model b…
Confined Monopoles in Chiral Bag
Fan Lin, Yong-Liang Ma
The chiral bag model offers a dual description of hadron physics in terms of quarks and hadrons in the sense of Cheshire Cat principle. In this work, we find that, within the chira…
Magnetic correction to the Anomalous Magnetic Moment of Electron
Fan Lin, Mei Huang
We investigate the leading order correction of anomalous magnetic moment (AMM) to the electron in weak magnetic field and find that the magnetic correction is negative and magnetic…
Toward a Unified Picture of Confinement and Baryon Structure
Fan Lin, Xinyang Wang
In this work, we investigate the infrared structure of quantum chromodynamics from the perspective of the Cho-Faddeev-Niemi decomposition and the Faddeev-Niemi effective theory of…
IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation
Fan Lin, Shuyi Xie, Yong Dai +7
As Large Language Models (LLMs) grow increasingly adept at managing complex tasks, the evaluation set must keep pace with these advancements to ensure it remains sufficiently discr…
Wireless Powered Cooperative Jamming for Secure OFDM System
Guangchi Zhang, Jie Xu, Qingqing Wu +3
This paper studies the secrecy communication in an orthogonal frequency division multiplexing (OFDM) system, where a source sends confidential information to a destination in the p…
Diagnosing Failures in Large Language Models' Answers: Integrating Error Attribution into Evaluation Framework
Zishan Xu, Shuyi Xie, Qingsong Lv +4
With the widespread application of Large Language Models (LLMs) in various tasks, the mainstream LLM platforms generate massive user-model interactions daily. In order to efficient…
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions
Yuanguo Lin, Fan Lin, Guorong Cai +3
In response to the limitations of reinforcement learning and evolutionary algorithms (EAs) in complex problem-solving, Evolutionary Reinforcement Learning (EvoRL) has emerged as a…
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining
Yuanguo Lin, Hong Chen, Wei Xia +3
Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses the power of computational techniques to analyze educational data. With the increasing compl…
A Survey on Data Security in Large Language Models
Kang Chen, Xiuze Zhou, Yuanguo Lin +4
Large Language Models (LLMs), now a foundation in advancing natural language processing, power applications such as text generation, machine translation, and conversational systems…