Publications (41)
Video-rate large-scale imaging with Multi-Z confocal microscopy
Amaury Badon, Seth Bensussen, Howard J. Gritton +4
Fast, volumetric imaging over large scales has been a long-standing goal in biological microscopy. Scanning techniques such as fluorescence confocal microscopy can acquire 2D image…
Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training
Zhijun Wang, Jiahuan Li, Hao Zhou +7
Large language models (LLMs) exhibit remarkable multilingual capabilities despite the extreme language imbalance in the pre-training data. In this paper, we closely examine the rea…
SCSC: A Novel Standards-Compatible Semantic Communication Framework for Image Transmission
Xue Han, Yongpeng Wu, Zhen Gao +4
Joint source-channel coding (JSCC) is a promising paradigm for next-generation communication systems, particularly in challenging transmission environments. In this paper, we propo…
Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs
Yanyan Luo, Xue Han, Ruiqiao Bai +10
Large Language Models (LLMs) have enabled increasingly personalized interactions by adapting to users' preferences, contexts, and long-term histories. However, the mechanisms that…
Age of Semantic Information-Aware Wireless Transmission for Remote Monitoring Systems
Xue Han, Biqian Feng, Yongpeng Wu +3
Semantic communication is emerging as an effective means of facilitating intelligent and context-aware communication for next-generation communication systems. In this paper, we pr…
Goldbach-Linnik type problems involving one prime, four prime cubes and powers of 2
Xue Han, Huafeng Liu
In this paper, we prove that every pair of sufficiently large odd integers can be represented in the form of a pair of one prime, four prime cubes and powers of .
Enhanced photon blockade in an optomechanical system with parametric amplification
Dong-Yang Wang, Cheng-Hua Bai, Xue Han +3
We propose a scheme to enhance the single- and two-photon blockade effect significantly in a standard optomechanical system (OMS) via optical parametric amplification (OPA). The sc…
MambaRain: Multi-Scale Mamba-Attention Framework for 0-3 Hour Precipitation Nowcasting
Chunlei Shi, Cui Wu, Xiang Xu +10
Accurate precipitation nowcasting over extended horizons (0-3 hours) is essential for disaster mitigation and operational decision-making, yet remains a critical challenge in the f…
Observation of Intrinsic and LED Light-Enhanced Memristor Performance in In-Plane Ferroelectric NbOI2
Zheng Hao, Gaolei Zhao, Haoran Li +13
Two-dimensional (2D) layered ferroelectrics, as an emerging area of research, have attracted extensive attention, while memristors based on new 2D ferroelectric materials have yet…
Selective surface modification and layer thinning of MoS2 via ultraviolet light irradiation in ionic solution
Lei Zhang, Kun Liu, Fanyi Kong +7
The electrical and optoelectronic properties of transition-metal dichalcogenides (TMDs), such as MoS2, are highly dependent on carrier doping and layer thickness. The ability to se…
Efficient Microparticle Trapping with Plasmonic Annular Apertures Arrays
Xue Han, Viet Giang Truong, SÃle Nic Chormaic
In this work, we demonstrate trapping of microparticles using a plasmonic tweezers based on arrays of annular apertures. The transmission spectra and the E- field distribution are…
Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
Peng Hu, Sizhe Liu, Changjiang Gao +5
Large Language Models have demonstrated impressive reasoning capabilities across multiple languages. However, the relationship between capabilities in different languages is less e…
Temporal Alignment of LLMs through Cycle Encoding for Long-Range Time Representations
Xue Han, Qian Hu, Yitong Wang +6
Large language models (LLMs) suffer from temporal misalignment issues especially across long span of time. The issue arises from knowing that LLMs are trained on large amounts of d…
Method and Taxonomy for Evaluation of Distributed Control Strategies for Distributed Energy Resources
Xue Han, Kai Heussen, Oliver Gehrke +2
Distributed control strategies applied to power distribution control problems are meant to offer robust and scalable integration of distributed energy resources. However, the term…
Automatic Business Process Structure Discovery using Ordered Neurons LSTM: A Preliminary Study
Xue Han, Lianxue Hu, Yabin Dang +4
Automatic process discovery from textual process documentations is highly desirable to reduce time and cost of Business Process Management (BPM) implementation in organizations. Ho…
Towards World Model-Empowered Integrated Sensing, Communication, and Decision for Complex Unmanned Systems
Xue Han, Yongpeng Wu, Meng Shen +6
Complex unmanned systems comprising satellites, unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), and quadruped robots are increasingly deployed to perform large-sc…
Sequential trapping of single nanoparticles using a gold plasmonic nanohole array
Xue Han, Viet Giang Truong, Sile Nic Chormaic
We have used a gold nanohole array to trap single polystyrene nanoparticles, with a mean diameter of 30 nm, into separated hot spots located at connecting nanoslot regions. A high…
ConPredictor: Concurrency Defect Prediction in Real-World Applications
Tingting Yu, Wei Wen, Xue Han +1
Concurrent programs are difficult to test due to their inherent non-determinism. To address this problem, testing often requires the exploration of thread schedules of a program; t…
Stable self-charged perovskite quantum rods for liquid laser with near-zero threshold
Jialu Li, Xue Han, Wenjie Wang +18
Colloidal quantum dots (QDs) are promising optical gain materials that require further threshold reduction to realize their full potential. While QD charging theoretically reduces…
Organic Thermoelectric Textiles for Harvesting Thermal Energy and Powering Electronics
Yuanyuan Zheng, Qihao Zhang, Wenlong Jin +10
Wearable thermoelectric devices show promises to generate electricity in a ubiquitous, unintermittent and noiseless way for on-body applications. Three-dimensional thermoelectric t…
Plasmonic tweezers based on connected nanoring apertures
Theodoros D. Bouloumis, Domna G. Kotsifaki, Xue Han +2
The manipulation of microparticles using optical forces has led to many applications in the life and physical sciences. To extend optical trapping towards the nano-regime, in this…
Real-time Neuron Segmentation for Voltage Imaging
Yosuke Bando, Ramdas Pillai, Atsushi Kajita +7
In voltage imaging, where the membrane potentials of individual neurons are recorded at from hundreds to thousand frames per second using fluorescence microscopy, data processing p…
MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing
Hao Zhou, Zhijun Wang, Shujian Huang +6
Large Language Models (LLMs) are often English-centric due to the disproportionate distribution of languages in their pre-training data. Enhancing non-English language capabilities…
Align to the Pivot: Dual Alignment with Self-Feedback for Multilingual Math Reasoning
Chunxu Zhao, Xin Huang, Xue Han +3
Despite the impressive reasoning abilities demonstrated by large language models (LLMs), empirical evidence indicates that they are not language agnostic as expected, leading to pe…
Semantic Noise Aided Secure Image Transmission over MIMO Fading Channels
Xue Han, Biqian Feng, Ting Zhou +5
Existing semantic communications have exhibited satisfactory performance in many tasks, but secure image transmission remains insufficiently explored. We propose a novel secure ima…
Response of open two-band systems to a momentum-carrying single-mode quantized field
Xue Han, Kang Xue, X. X. Yi
As a new quantum state, topological insulators have become the focus of condensed matter and material science. The open system research of topological insulators has aroused the in…
Automated Performance Tuning for Highly-Configurable Software Systems
Xue Han, Tingting Yu
Performance is an important non-functional aspect of the software requirement. Modern software systems are highly-configurable and misconfigurations may easily cause performance is…
Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners
Shimao Zhang, Changjiang Gao, Wenhao Zhu +6
Recently, Large Language Models (LLMs) have shown impressive language capabilities. While most of the existing LLMs have very unbalanced performance across different languages, mul…
Self-Improving Multilingual Long Reasoning via Translation-Reasoning Integrated Training
Junxiao Liu, Zhijun Wang, Yixiao Li +6
Long reasoning models often struggle in multilingual settings: they tend to reason in English for non-English questions; when constrained to reasoning in the question language, acc…
A Graph Neural Network-Based Approach to XANES Data Analysis
Fei Zhan, Lirong Zheng, Haodong Yao +6
X-ray absorption spectroscopy (XAS) is an indispensable tool to characterize the atomic-scale three-dimensional local structure of the system, in which XANES is the most important…
ChildEval: When large language models meet children's personalities
Yanyan Luo, Xue Han, Chunxu Zhao +5
While LLMs enable personalized chatbots, their effectiveness in child-centered personalization remains unclear, as systematic evaluation of child-specific preferences is still lack…
PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement Learning
Yunzhi Shen, Hao Zhou, Xin Huang +3
Reinforcement learning (RL) has shown strong promise for LLM-based machine translation, with recent methods such as GRPO demonstrating notable gains; nevertheless, translation-orie…
High-Accuracy Prediction of Metal-Insulator-Metal Metasurface with Deep Learning
Kaizhu Liu, Hsiang-Chen Chui, Changsen Sun +1
Deep learning prediction of electromagnetic software calculation results has been a widely discussed issue in recent years. But the prediction accuracy was still one of the challen…
A new framework for X-ray absorption spectroscopy data analysis based on machine learning: XASDAML
Xue Han, Haodong Yao, Fei Zhan +3
X-ray absorption spectroscopy (XAS) is a powerful technique to probe the electronic and structural properties of materials. With the rapid growth in both the volume and complexity…
Understanding LLMs' Cross-Lingual Context Retrieval: How Good It Is And Where It Comes From
Changjiang Gao, Hankun Lin, Xin Huang +5
Cross-lingual context retrieval (extracting contextual information in one language based on requests in another) is a fundamental aspect of cross-lingual alignment, but the perform…
AI Based Digital Twin Model for Cattle Caring
Xue Han, Zihuai Lin
In this paper, we developed innovative digital twins of cattle status that are powered by artificial intelligence (AI). The work was built on a farm IoT system that remotely monito…
A Field-Weighted model for Surface Layer Characterization using Single Channel Intensity Interrogation SPR
Zhiying Chen, Zihao Luo, Changsen Sun +5
To address the difficulty of characterizing the surface layer rigorously, especially the thickness and refractive index (RI) in surface plasmon resonance (SPR) technology, we propo…
Two Kinds Hybrid Power Mean Involving Two-Term Exponential Sums and Dedekind Sums
Jinmin Yu, Xue Han, Tingting Wang
The main purpose of this article is using the analytic mathods and the quadratic residual transformation technique, and properties of Dedekind sums to study the calculating problem…
Reconstructing the wavefunction of magnetic topological insulators MnBi2Te4 and MnBi4Te7 using spin-resolved photoemission
Xue Han, Jason Qu, Hengxin Tan +7
Despite their importance for exotic quantum effects, the surface electronic structure of magnetic topological insulators MnBi2Te4 and MnBi4Te7 remains poorly understood. Using high…
MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts
Qing Wang, Xue Han, Jiahui Wang +5
Despite LLMs' excellent code creation capabilities, multilingual code generation remains extremely challenging. To address this, we intent to improve the multi-programming-lingual…
ESCL: Equivariant Self-Contrastive Learning for Sentence Representations
Jie Liu, Yixuan Liu, Xue Han +2
Previous contrastive learning methods for sentence representations often focus on insensitive transformations to produce positive pairs, but neglect the role of sensitive transform…