Publications (261)
Spin-supersolidity induced quantum criticality and magnetocaloric effect in the triangular-lattice antiferromagnet RbCo(SeO)
Yi Cui, Zhanlong Wu, Zhongcen Sun +12
We performed high-field magnetization, magnetocaloric effect (MCE), and NMR measurements on the Ising triangular-lattice antiferromagnet RbCo(SeO). The observations of…
Effects of shallow carbon and deep N++ layer on the radiation hardness of IHEP-IME LGAD sensors
Mengzhao Li, Yunyun Fan, Xuewei Jia +23
Low Gain Avalanche Diode (LGAD) is applied for the High-Granularity Timing Detector (HGTD), and it will be used to upgrade the ATLAS experiment. The first batch IHEP-IME LGAD senso…
Human not in the loop: objective sample difficulty measures for Curriculum Learning
Zhengbo Zhou, Jun Luo, Dooman Arefan +2
Curriculum learning is a learning method that trains models in a meaningful order from easier to harder samples. A key here is to devise automatic and objective difficulty measures…
PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D
Amir Rasouli, Tiffany Yau, Peter Lakner +3
Predicting the behavior of road users, particularly pedestrians, is vital for safe motion planning in the context of autonomous driving systems. Traditionally, pedestrian behavior…
A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents
Hang Su, Jun Luo, Chang Liu +4
Recent advances in large language models (LLMs) have catalyzed the rise of autonomous AI agents capable of perceiving, reasoning, and acting in dynamic, open-ended environments. Th…
Similar dissection of sets
Shigeki Akiyama, Jun Luo, Ryotaro Okazaki +2
In 1994, Martin Gardner stated a set of questions concerning the dissection of a square or an equilateral triangle in three similar parts. Meanwhile, Gardner's questions have been…
A unified theory of grain growth in polycrystalline materials
Jianfeng Hu, Xianhao Wang, Junzhan Zhang +3
Grain growth is a ubiquitous and fundamental phenomenon observed in the cellular structures with the grain assembly separated by a network of grain boundaries, including metals and…
DECA: Decentralizing Block-Wise Adam for Efficient LLM Full-Parameter Fine-Tuning on Non-IID Data
Yunsheng Yuan, Shaowei Li, Kai Wang +5
Fine-tuning large language models (LLMs) in privacy-sensitive and resource-constrained environments remains challenging. Since training data are often distributed across multiple c…
Combined search for Lorentz violation in short-range gravity
Cheng-Gang Shao, Yu-Jie Tan, Wen-Hai Tan +8
Short-range experiments testing the gravitational inverse-square law at the submillimeter scale offer uniquely sensitive probes of Lorentz invariance. A combined analysis of result…
Gravitational Wave Astronomy With TianQin
En-Kun Li, Shuai Liu, Alejandro Torres-Orjuela +50
The paper outlines the scientific potential of the TianQin space‑based gravitational‑wave observatory, describing the types of compact‑object sources it can detect in the mHz band…
A Symplecticity-preserving Gas-kinetic Scheme for Hydrodynamic Equations under Gravitational Field
Jun Luo, Kun Xu, Na Liu
A well-balanced scheme for a gravitational hydrodynamic system is defined as a scheme which could precisely preserve a hydrostatic isothermal solution. In this paper, we will const…
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
Jun Luo, Chen Chen, Shandong Wu
Federated prompt learning benefits federated learning with CLIP-like Vision-Language Model's (VLM's) robust representation learning ability through prompt learning. However, curren…
Test of non-Newtonian gravitational force at micrometer range
Pengshun Luo, Jianbo Wang, Shengguo Guan +5
We report an experimental test of non-Newtonian gravitational forces at mi- crometer range. To experimentally subtract off the Casimir force and the electrostatic force background,…
Dual-Level Compressed Aggregation: Recovering Fields of Physical Quantities from Incomplete Sensory Data
Liu Xiang, Jun Luo, Chenwei Deng +2
Although wireless sensor networks (WSNs) are powerful in monitoring physical events, the data collected from a WSN are almost always incomplete if the surveyed physical event sprea…
Bulk high-temperature superconductivity in the high-pressure tetragonal phase of bilayer La2PrNi2O7
Ningning Wang, Gang Wang, Xiaoling Shen +26
The Ruddlesden-Popper (R-P) bilayer nickelate, La3Ni2O7, was recently found to show signatures of high-temperature superconductivity (HTSC) at pressures above 14 GPa. Subsequent in…
Affordance as general value function: A computational model
Daniel Graves, Johannes Günther, Jun Luo
General value functions (GVFs) in the reinforcement learning (RL) literature are long-term predictive summaries of the outcomes of agents following specific policies in the environ…
MLA-Trust: Benchmarking Trustworthiness of Multimodal LLM Agents in GUI Environments
Xiao Yang, Jiawei Chen, Jun Luo +4
The emergence of multimodal LLM-based agents (MLAs) has transformed interaction paradigms by seamlessly integrating vision, language, action and dynamic environments, enabling unpr…
Science with the TianQin observatory: Preliminary results on testing the no-hair theorem with ringdown signals
Changfu Shi, Jiahui Bao, Haitian Wang +6
We study the capability of the space-based gravitational wave observatory TianQin to test the no-hair theorem of General Relativity, using the ringdown signal from the coalescence…
SNAP: SNowbAll multi-tree Pushing for Peer-to-Peer Media Streaming
Jun Luo
Given the respective advantages of the two complimentary techniques for peer-to-peer media streaming (namely tree-based push and mesh-based pull), there is a strong trend of combin…
Gemini: Integrating Full-fledged Sensing upon Millimeter Wave Communications
Yilong Li, Zhe Chen, Jun Luo +1
Integrating millimeter wave (mmWave)technology in both communication and sensing is promising as it enables the reuse of existing spectrum and infrastructure without draining resou…
A Classification of Fractal Squares
Gregory Conner, Curtis Kent, Jun Luo +1
Let be the lambda function of a planar comapctum , as defined in MR4488162. It is known that a planar continuum is locally c…
Learning Virtual Machine Scheduling in Cloud Computing through Language Agents
JieHao Wu, Ziwei Wang, Junjie Sheng +3
In cloud services, virtual machine (VM) scheduling is a typical Online Dynamic Multidimensional Bin Packing (ODMBP) problem, characterized by large-scale complexity and fluctuating…
Effect of Earth-Moon's gravity on TianQin's range acceleration noise
Xuefeng Zhang, Chengjian Luo, Lei Jiao +6
TianQin is a proposed space gravitational-wave detection mission using circular high Earth orbits. The geocentric concept has raised questions about the disturbing effect of the ne…
Haldane phase, field-induced magnetic ordering and Tomonaga-Luttinger liquid behavior in a spin-one chain compound NiCO2NH
Shuo Li, Zhanlong Wu, Yanhong Wang +12
We performed single-crystal magnetic susceptibility and H NMR measurements on a quasi-1D, spin-1 antiferromagnet NiCO2NH, with temperature down to 100 mK and…
Radar and Camera Fusion for Object Detection and Tracking: A Comprehensive Survey
Kun Shi, Shibo He, Zhenyu Shi +4
Multi-modal fusion is imperative to the implementation of reliable object detection and tracking in complex environments. Exploiting the synergy of heterogeneous modal information…
On cut sets of attractors of iterated function systems
Benoît Loridant, Jun Luo, Tarek Sellami +1
In this paper, we study cut sets of attractors of iteration function systems (IFS) in . Under natural conditions, we show that all irreducible cut sets of these attra…
Rehearsal-free and Task-free Online Continual Learning With Contrastive Prompt
Aopeng Wang, Ke Deng, Yongli Ren +1
The main challenge of continual learning is \textit{catastrophic forgetting}. Because of processing data in one pass, online continual learning (OCL) is one of the most difficult c…
Field-Free Deterministic Writing of SOT-MTJ by Unipolar Current
Tengzhi Yang, Meiyin Yang, Lei Zhao +6
We propose a manufacturable solution for field-free writing of perpendicular SOT-MTJ without sacrificing integration density on a 200 mm wafer. The field-free writing operation can…
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation
Qingfeng Lan, Yangchen Pan, Jun Luo +1
Artificial neural networks are promising for general function approximation but challenging to train on non-independent or non-identically distributed data due to catastrophic forg…
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification
Jun Luo, Gene Kitamura, Dooman Arefan +3
Elbow fracture diagnosis often requires patients to take both frontal and lateral views of elbow X-ray radiographs. In this paper, we propose a multiview deep learning method for a…
Construction of all-in-focus images assisted by depth sensing
Hang Liu, Hengyu Li, Jun Luo +2
Multi-focus image fusion is a technique for obtaining an all-in-focus image in which all objects are in focus to extend the limited depth of field (DoF) of an imaging system. Diffe…
Enhancing RF Sensing with Deep Learning: A Layered Approach
Tianyue Zheng, Zhe Chen, Shuya Ding +1
In recent years, radio frequency (RF) sensing has gained increasing popularity due to its pervasiveness, low cost, non-intrusiveness, and privacy preservation. However, realizing t…
Optimal Data Reduction under Information-Theoretic Criteria
Taotao He, Jun Luo, Junkai Zhao
Selecting an optimal subset of features or instances under an information theoretic criterion has become an effective preprocessing strategy for reducing data complexity while pres…
Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors
Cameron Haigh, Zichen Zhang, Negar Hassanpour +5
Design of Voltage-Controlled Oscillator (VCO) inductors is a laborious and time-consuming task that is conventionally done manually by human experts. In this paper, we propose a fr…
MIMOCrypt: Multi-User Privacy-Preserving Wi-Fi Sensing via MIMO Encryption
Jun Luo, Hangcheng Cao, Hongbo Jiang +2
Wi-Fi signals may help realize low-cost and non-invasive human sensing, yet it can also be exploited by eavesdroppers to capture private information. Very few studies rise to handl…
Comprehensive landscape and simple rules for transition-metal Heusler semiconductors
Yubo Zhang, Zirui Dong, Jun Luo
Heusler alloys, renowned for their multifunctionality and capacity for vast elemental customization, are primarily classified into half-Heusler (XYZ) and full-Heusler (X2YZ) struct…
GossiCrypt: Wireless Sensor Network Data Confidentiality Against Parasitic Adversaries
Jun Luo, Panos Papadimitratos, Jean-Pierre Hubaux
Resource and cost constraints remain a challenge for wireless sensor network security. In this paper, we propose a new approach to protect confidentiality against a parasitic adver…
Fundamental Physics and Cosmology with TianQin
Jun Luo, Haipeng An, Ligong Bian +33
The exploration of the surrounding world and the universe is an important theme in the legacy of humankind. The detection of gravitational waves is adding a new dimension to this g…
V2iFi: in-Vehicle Vital Sign Monitoring via Compact RF Sensing
Tianyue Zheng, Zhe Chen, Chao Cai +2
Given the significant amount of time people spend in vehicles, health issues under driving condition have become a major concern. Such issues may vary from fatigue, asthma, stroke,…
A Survey on the Topology of Fractal Squares
Jun Luo, Hui Rao
We consider a special type of self-similar sets, called fractal squares, and give a brief review on recent results and unsolved issues with an emphasis on their topological propert…
Test of the universality of free fall with atoms in different spin Orientations
Xiao-Chun Duan, Min-Kang Zhou, Xiao-Bing Deng +4
We report a test of the universality of free fall (UFF) related to spin-gravity coupling effects by comparing the gravity acceleration of the Rb atoms in versus tha…
Optimizing orbits for TianQin
Bo-Bing Ye, Xuefeng Zhang, Ming-Yue Zhou +7
TianQin is a geocentric space-based gravitational-wave observatory mission consisting of three drag-free controlled satellites in an equilateral triangle with an orbital radius of…
Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map
Elmira Amirloo, Mohsen Rohani, Ershad Banijamali +2
While supervised learning is widely used for perception modules in conventional autonomous driving solutions, scalability is hindered by the huge amount of data labeling needed. In…
Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents
Yun Hua, Haosheng Chen, Shiqin Wang +3
Large Language Models (LLMs) show strong collaborative performance in multi-agent systems with predefined roles and workflows. However, in open-ended environments lacking coordinat…
Test of the universality of free fall with atoms in different spin orientations
Xiao-Chun Duan, Xiao-Bing Deng, Min-Kang Zhou +7
We report a test of the universality of free fall (UFF) by comparing the gravity acceleration of the Rb atoms in versus that in , where the corresponding sp…
Realization of decoherence-free subspace using Multiple-Quantum coherences
Daxiu Wei, Jun Luo, Xianping Sun +3
This letter presents a two-dimensional nuclear magnetic resonance(NMR) approach for constructing a two-logical-qubit decoherence-free subspace (DFS) based on the fact that the thre…
What Makes LVLMs Hallucinate Less? Unveiling the Architectural Factors Behind Hallucination Robustness
Yusheng He, Jizhe Zhou, Xia Du +3
Hallucination remains one of the key challenges undermining the reliability of Large Vision-Language Models (LVLMs). But what makes an LVLM hallucinate less? Many existing efforts…
Combined Search for a Lorentz-Violating Force in Short-Range Gravity Varying as the Inverse Sixth Power of Distance
Cheng-Gang Shao, Ya-Fen Chen, Yu-Jie Tan +6
Precision measurements of the inverse-square law via experiments on short-range gravity provide sensitive tests of Lorentz symmetry. A combined analysis of data from experiments at…
Probing the Effect of Selection Bias on Generalization: A Thought Experiment
John K. Tsotsos, Jun Luo
Learned systems in the domain of visual recognition and cognition impress in part because even though they are trained with datasets many orders of magnitude smaller than the full…
LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction
Elmira Amirloo, Amir Rasouli, Peter Lakner +2
Multi-agent trajectory prediction is a fundamental problem in autonomous driving. The key challenges in prediction are accurately anticipating the behavior of surrounding agents an…
Ricci-flat graphs with girth four
Weihua He, Jun Luo, Chao Yang +1
Lin-Lu-Yau introduced an interesting notion of Ricci curvature for graphs and obtained a complete characterization for all Ricci-flat graphs with girth at least five [1]. In this p…
Duty-Cycle-Aware Minimum-Energy Multicasting in Wireless Sensor Networks
Kai Han, Yang Liu, Jun Luo
In duty-cycled wireless sensor networks, the nodes switch between active and dormant states, and each node may determine its active/dormant schedule independently. This complicates…
Image Quality Assessment: Exploring Quality Awareness via Memory-driven Distortion Patterns Matching
Xuting Lan, Mingliang Zhou, Xuekai Wei +5
Existing full-reference image quality assessment (FR-IQA) methods achieve high-precision evaluation by analysing feature differences between reference and distorted images. However…
Minimum-Energy All-to-All Multicasting in Multi-hop Wireless Networks
Kai Han, Yang Liu, Jun Luo
Designing energy-efficient all-to-all multicasting protocols is of of great importance for multi-hop wireless networks such as wireless sensor networks and wireless ad hoc networks…
MST: Adaptive Multi-Scale Tokens Guided Interactive Segmentation
Long Xu, Shanghong Li, Yongquan Chen +2
Interactive segmentation has gained significant attention for its application in human-computer interaction and data annotation. To address the target scale variation issue in inte…
Multi-Modal Hybrid Architecture for Pedestrian Action Prediction
Amir Rasouli, Tiffany Yau, Mohsen Rohani +1
Pedestrian behavior prediction is one of the major challenges for intelligent driving systems in urban environments. Pedestrians often exhibit a wide range of behaviors and adequat…
Gravitational Effects of Rotating Bodies
Yuan-Zhong Zhang, Jun Luo, Yu-Xin Nie
We study two type effects of gravitational field on mechanical gyroscopes (i.e. rotating extended bodies). The first depends on special relativity and equivalence principle. The se…
To Define the Core Entropy for All Polynomials Having a Connected Julia Set
Jun Luo, Bo Tan, Yi Yang +1
For all polynomials with that have a connected filled Julia set , we introduce a new quantity , such that $h_{\rm GCE}\left(f^n\right)=n\c…
On Lambda Function and a Quantification of Torhorst Theorem
Li Feng, Jun Luo, Xiao-Ting Yao
To any compact we associate a map -- the lambda function of -- such that a planar continu…
Progress of the TianQin project
Jun Luo, Shaojun Bai, Yan-Zheng Bai +97
TianQin is a future space-based gravitational wave observatory targeting the frequency window of Hz Hz. A large variety of gravitational wave sources are expecte…
Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning
Ershad Banijamali, Mohsen Rohani, Elmira Amirloo +2
In autonomous driving (AD), accurately predicting changes in the environment can effectively improve safety and comfort. Due to complex interactions among traffic participants, how…
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning
Daniel Graves, Jun Jin, Jun Luo
We propose a framework for transferring any existing policy from a potentially unknown source MDP to a target MDP. This framework (1) enables reuse in the target domain of any form…
Science with the TianQin observatory: Preliminary results on massive black hole binaries
Hai-Tian Wang, Zhen Jiang, Alberto Sesana +8
We investigate the prospects of detecting gravitational waves from coalescing massive black hole binaries in the Universe with the TianQin observatory, a space-based gravitational…
Physics Guided Exponential Model Design of High Ge Content SiGe Selective Epitaxy for Gate All Around Source/Drain Applications
Zhigang Li, Guobin Bai, Hengwei Cui +9
High germanium content silicon germanium (SiGe) epitaxy is critical for strain engineering in advanced gate all around (GAA) transistors. This paper demonstrates a physics guided e…
Understanding and Mitigating the Limitations of Prioritized Experience Replay
Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand +4
Prioritized Experience Replay (ER) has been empirically shown to improve sample efficiency across many domains and attracted great attention; however, there is little theoretical u…
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference
Wenhao Shen, Mingliang Zhou, Yu Chen +4
Existing full-reference image quality assessment (FR-IQA) methods often fail to capture the complex causal mechanisms that underlie human perceptual responses to image distortions,…
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification
Jun Luo, Shandong Wu
Machine learning in medical research, by nature, needs careful attention on obeying the regulations of data privacy, making it difficult to train a machine learning model over gath…
Review on Ranking and Selection: A New Perspective
L. Jeff Hong, Weiwei Fan, Jun Luo
In this paper, we briefly review the development of ranking-and-selection (R&S) in the past 70 years, especially the theoretical achievements and practical applications in the last…
On the Performance Analysis of Momentum Method: A Frequency Domain Perspective
Xianliang Li, Jun Luo, Zhiwei Zheng +5
Momentum-based optimizers are widely adopted for training neural networks. However, the optimal selection of momentum coefficients remains elusive. This uncertainty impedes a clear…
PGFed: Personalize Each Client's Global Objective for Federated Learning
Jun Luo, Matias Mendieta, Chen Chen +1
Personalized federated learning has received an upsurge of attention due to the mediocre performance of conventional federated learning (FL) over heterogeneous data. Unlike convent…
Design, fabrication and initial test of a novel 3D-Trench sensor utilizing 8-inch CMOS compatible technology
Manwen Liu, Huimin Ji, Wenzheng Cheng +10
The 3D silicon sensor has demonstrated excellent performances (signal collection, detection efficiency, power consumption, etc.) comparable or even better with respect to the tradi…
TIC-GRPO: Provable and Efficient Optimization for Reinforcement Learning from Human Feedback
Lei Pang, Jun Luo, Ruinan Jin
Group Relative Policy Optimization (GRPO), recently introduced by DeepSeek, is a critic-free reinforcement learning algorithm for fine-tuning large language models. GRPO replaces t…
Invisible to Humans, Triggered by Agents: Stealthy Jailbreak Attacks on Mobile Vision-Language Agents
Renhua Ding, Xiao Yang, Zhengwei Fang +3
Large Vision-Language Models (LVLMs) empower autonomous mobile agents, yet their security under realistic mobile deployment constraints remains underexplored. While agents are vuln…
A Stackelberg Game Approach Towards Socially-Aware Incentive Mechanisms for Mobile Crowdsensing (Online report)
Jiangtian Nie, Jun Luo, Zehui Xiong +2
Mobile crowdsensing has shown a great potential to address large-scale data sensing problems by allocating sensing tasks to pervasive mobile users. The mobile users will participat…
Quantum Algorithms of Bio-molecular Solutions for the Clique Problem on a Quantum Computer
Weng-Long Chang, Ting-Ting Ren, Mang Feng +4
In this paper, it is demonstrated that the DNA-based algorithm [Ho et al. 2005] for solving an instance of the clique problem to any a graph G = (V, E) with n vertices and p edges…
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning
Elmira Amirloo Abolfathi, Jun Luo, Peyman Yadmellat +1
Despite the recent successes of reinforcement learning in games and robotics, it is yet to become broadly practical. Sample efficiency and unreliable performance in rare but challe…
Measurable signatures of quantum mechanics in a classical spacetime
Bassam Helou, Jun Luo, Hsien-Chi Yeh +4
We propose an optomechanics experiment that can search for signatures of a fundamentally classical theory of gravity and in particular of the many-body Schroedinger-Newton (SN) equ…
Password-Stealing without Hacking: Wi-Fi Enabled Practical Keystroke Eavesdropping
Jingyang Hu, Hongbo Wang, Tianyue Zheng +4
The contact-free sensing nature of Wi-Fi has been leveraged to achieve privacy breaches, yet existing attacks relying on Wi-Fi CSI (channel state information) demand hacking Wi-Fi…
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou, Jun Luo, Julian Villella +34
Multi-agent interaction is a fundamental aspect of autonomous driving in the real world. Despite more than a decade of research and development, the problem of how to competently i…
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition
Shuya Ding, Zhe Chen, Tianyue Zheng +1
Radio-Frequency (RF) based device-free Human Activity Recognition (HAR) rises as a promising solution for many applications. However, device-free (or contactless) sensing is often…
Superconductivity emerging from density-wave-like order in a correlated kagome metal
Yi Liu, Zi-Yi Liu, Jin-Ke Bao +22
Unconventional superconductivity (USC) in a highly correlated kagome system has been theoretically proposed for years, yet the experimental realization is hard to achieve. The rece…
Peano Model for Planar Compacta and a Lemma by Beardon
Jun Luo, Yi Yang, Xiao-Ting Yao
It is known that, among all the monotone decompositions of a planar compact set K with Peano hyperspaces, there exists a unique one that is finer than all the others. We call it th…
Cascade of Spin Liquids in a Bilayer Triangular-lattice Antiferromagnet Rb_2Co_2(SeO_3)_3
Xiaoyu Xu, Yunlong Wang, Xuejuan Gui +20
In frustrated Ising magnets, classical spin liquids (CSLs) with macroscopic ground-state degeneracy can survive against conventional magnetic order, as exemplified by systems on tr…
General Phase Segregation and Phase Pinning Effects in Ln-doped Lead Halide Perovskite with Dual-wavelength Lasing
Junyu He, Jun Luo, Weihao Zheng +8
Lead halide perovskites (LHPs) exhibit outstanding optoelectronic properties, making them highly promising for applications in various optoelectronics devices. However, rapid ion m…
Electric field effect on short-range polar orders in a relaxor ferroelectric system
Zhijun Xu, Fei Li, Shujun Zhang +4
Short-range polar orders in the relaxor ferroelectric material PbMgNbO-PbTiO (PMN-28PT) have been studied using neutron diffuse scattering. An externa…
Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory Generation
Zhiyang Zhang, Ningcong Chen, Xin Zhang +4
The widespread use of GPS devices has driven advances in spatiotemporal data mining, enabling machine learning models to simulate human decision making and generate realistic traje…
Screening of half-Heuslers with temperature-induced band convergence and enhanced thermoelectric properties
Jinyang Xi, Zirui Dong, Menghan Gao +2
Enhancing band convergence is an effective way to optimize the thermoelectric (TE) properties of materials. However, the temperature-induced band renormalization is commonly ignore…
RF-Based Human Activity Recognition Using Signal Adapted Convolutional Neural Network
Zhe Chen, Chao Cai, Tianyue Zheng +3
Human Activity Recognition (HAR) plays a critical role in a wide range of real-world applications, and it is traditionally achieved via wearable sensing. Recently, to avoid the bur…
To Intervene or Not: Guiding Inference-time Alignment with Probabilistic Model Blending
Jin Gan, Xin Li, Jun Luo
The wide deployment of LLMs has made model alignment necessary to make newly trained models safely and effectively respond to user instructions. Among different methods, inference-…
Efficient Beamforming Feedback Information-Based Wi-Fi Sensing by Feature Selection
Xin Li, Jingzhi Hu, Jun Luo
Wi-Fi sensing leveraging plain-text beamforming feedback information (BFI) in multiple-input-multiple-output (MIMO) systems attracts increasing attention. However, due to the impli…
The First Round Result from the TianQin-1 Satellite
Jun Luo, Yan-Zheng Bai, Lin Cai +55
The TianQin-1 satellite (TQ-1), which is the first technology demonstration satellite for the TianQin project, was launched on 20 December 2019. The first round of experiment had b…
Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images
Jiayi Kong, Xurui Song, Shuo Huai +3
While 3D head reconstruction is widely used for modeling, existing neural reconstruction approaches rely on high-resolution multi-view images, posing notable privacy issues. Indivi…
Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity Recognition
Yuxuan Weng, Guoquan Wu, Tianyue Zheng +2
Radio-Frequency (RF)-based Human Activity Recognition (HAR) rises as a promising solution for applications unamenable to techniques requiring computer visions. However, the scarcit…
Design and testing of LGAD sensor with shallow carbon implantation
Kewei Wu, Xuewei Jia, Tao Yang +26
The low gain avalanche detectors (LGADs) are thin sensors with fast charge collection which in combination with internal gain deliver an outstanding time resolution of about 30 ps.…
Current controlled non-hysteresis magnetic switching in the ansence of magnetic field
Yanru Li, Meiyin Yang, Guoqiang Yu +2
By means of local ion implantation, we investigated the influence of lateral interface on current-induced magnetic switching by spin-orbit torque in a perpendicularly magnetized Pt…
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems
Yaodong Yang, Jun Luo, Ying Wen +5
Multiagent reinforcement learning (MARL) has achieved a remarkable amount of success in solving various types of video games. A cornerstone of this success is the auto-curriculum f…
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction
Tiffany Yau, Saber Malekmohammadi, Amir Rasouli +3
One of the most crucial yet challenging tasks for autonomous vehicles in urban environments is predicting the future behaviour of nearby pedestrians, especially at points of crossi…
Neighbor Discovery for Wireless Networks via Compressed Sensing
Lei Zhang, Jun Luo, Dongning Guo
This paper studies the problem of neighbor discovery in wireless networks, namely, each node wishes to discover and identify the network interface addresses (NIAs) of those nodes w…
Ubiquitous Acoustic Sensing on Commodity IoT Devices: A Survey
Chao Cai, Rong Zheng, Jun Luo
With the proliferation of Internet-of-Things devices, acoustic sensing attracts much attention in recent years. It exploits acoustic transceivers such as microphones and speakers b…
A Socially-Aware Incentive Mechanism for Mobile Crowdsensing Service Market
Jiangtian Nie, Zehui Xiong, Dusit Niyato +2
Mobile Crowdsensing has shown a great potential to address large-scale problems by allocating sensing tasks to pervasive Mobile Users (MUs). The MUs will participate in a Crowdsens…