Publications (312)
Ultrafast charge-transfer dynamics in CaCuOCl from time-resolved optical reflectivity
Haiyun Huang, Xiu Zhang, Junzhi Zhu +7
We employ time-resolved optical reflectivity to investigate the ultrafast dynamics of the charge-transfer gap (CTG) in a parent cuprate compound CaCuOCl (CCOC). We obse…
Study of pseudogap and superconducting quasiparticle dynamics in by time-resolved optical reflectivity
X. C. Nie, Hai-Ying Song, Xiu Zhang +8
The relation between pseudogap (PG) and superconducting (SC) gap, whether PG is a precursor of SC or they coexist or compete, is a long-standing controversy in cuprate high-tempera…
Tightly-coupled Visual-DVL-Inertial Odometry for Robot-based Ice-water Boundary Exploration
Lin Zhao, Mingxi Zhou, Brice Loose
Robotic underwater systems, e.g., Autonomous Underwater Vehicles (AUVs) and Remotely Operated Vehicles (ROVs), are promising tools for collecting biogeochemical data at the ice-wat…
Forensicability Assessment of Questioned Images in Recapturing Detection
Changsheng Chen, Lin Zhao, Rizhao Cai +3
Recapture detection of face and document images is an important forensic task. With deep learning, the performances of face anti-spoofing (FAS) and recaptured document detection ha…
Doping Evolution of Nodal Electron Dynamics in Trilayer Cuprate Superconductor BiSrCaCuO Revealed by Laser-Based Angle-Resolved Photoemission Spectroscopy
Hao Chen, Jumin Shi, Xiangyu Luo +22
The doping evolution of the nodal electron dynamics in the trilayer cuprate superconductor BiSrCaCuO (Bi2223) is investigated using high-resolution laser-…
Conditional Evidence Reconstruction and Decomposition for Interpretable Multimodal Diagnosis
Shaowen Wan, Yanjun Lv, Lu Zhang +5
Neurobiological and neurodegenerative diseases are inherently multifactorial, arising from coupled influences spanning genetic susceptibility, brain alterations, and environmental…
Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping
Yikang Liu, Lin Zhao, Eric Z. Chen +3
Dynamic coronary roadmapping is a technology that overlays the vessel maps (the "roadmap") extracted from an offline image sequence of X-ray angiography onto a live stream of X-ray…
Electronic Evidence of Temperature-Induced Lifshitz Transition and Topological Nature in ZrTe5
Yan Zhang, Chenlu Wang, Li Yu +25
The topological materials have attracted much attention recently. While three-dimensional topological insulators are becoming abundant, two-dimensional topological insulators remai…
Identification of a New Form of Electron Coupling in Bi2Sr2CaCu2O8 Superconductor by Laser-Based Angle-Resolved Photoemission
Wentao Zhang, Guodong Liu, Lin Zhao +17
Laser-based angle-resolved photoemission measurements with super-high resolution have been carried out on an optimally-doped BiSrCaCuO high temperature superconduct…
Disappearance of Nodal Gap across the Insulator-Superconductor Transition in a Copper-Oxide Superconductor
Yingying Peng, Jianqiao Meng, Daixiang Mou +16
The parent compound of the copper-oxide high temperature superconductors is a Mott insulator. Superconductivity is realized by doping an appropriate amount of charge carriers. How…
Spatiotemporal Diffusion Model with Paired Sampling for Accelerated Cardiac Cine MRI
Shihan Qiu, Shaoyan Pan, Yikang Liu +7
Current deep learning reconstruction for accelerated cardiac cine MRI suffers from spatial and temporal blurring. We aim to improve image sharpness and motion delineation for cine…
Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios
Jingliang Duan, Yangang Ren, Fawang Zhang +5
In this paper, we propose a new reinforcement learning (RL) algorithm, called encoding distributional soft actor-critic (E-DSAC), for decision-making in autonomous driving. Unlike…
Evidence of Topological Surface State in Three-Dimensional Dirac Semimetal Cd3As2
Hemian Yi, Zhijun Wang, Chaoyu Chen +23
The three-dimensional topological semimetals represent a new quantum state of matter. Distinct from the surface state in the topological insulators that exhibits linear dispersion…
A Geometric Approach to Aggregate Flexibility Modeling of Thermostatically Controlled Loads
Lin Zhao, Wei Zhang, He Hao +1
Coordinated aggregation of a large population of thermostatically controlled loads (TCLs) presents a great potential to provide various ancillary services to the grid. One of the k…
Orbital-Selective Spin Texture and its Manipulation in a Topological Insulator
Zhuojin Xie, Shaolong He, Chaoyu Chen +20
Topological insulators represent a new quantum state of matter that are insulating in the bulk but metallic on the edge or surface. In the Dirac surface state, it is well-establish…
Common Features in Electronic Structure of the Fe-Based Layered Superconductors from Photoemission Spectroscopy
Xiaowen Jia, Haiyun Liu, Wentao Zhang +23
High resolution photoemission measurements have been carried out on non-superconducting LaOFeAs parent compound and various superconducting R(O1-xFx)FeAs (R=La, Ce and Pr) compound…
IMA-MoE: An Interpretable Modality-Aware Mixture-of-Experts Framework for Characterizing the Neurobiological Signatures of Binge Eating Disorder
Lin Zhao, Qiaohui Gao, Elizabeth Martin +5
Binge eating disorder (BED) is the most prevalent eating disorder. However, current diagnostic frameworks remain largely grounded in symptom-based criteria rather than underlying b…
On Social Optima of Non-Cooperative Mean Field Games
Sen Li, Wei Zhang, Lin Zhao
This paper studies the connections between mean-field games and the social welfare optimization problems. We consider a mean field game in functional spaces with a large population…
Orbital Origin of Extremely Anisotropic Superconducting Gap in Nematic Phase of FeSe Superconductor
Defa Liu, Cong Li, Jianwei Huang +31
The iron-based superconductors are characterized by multiple-orbital physics where all the five Fe 3 orbitals get involved. The multiple-orbital nature gives rise to various nov…
Learning Agile Gate Traversal via Analytical Optimal Policy Gradient
Tianchen Sun, Bingheng Wang, Nuthasith Gerdpratoom +3
Traversing narrow gates presents a significant challenge and has become a standard benchmark for evaluating agile and precise quadrotor flight. Traditional modularized autonomous f…
Tracking the nematicity in cuprate superconductors: a resistivity study under uniaxial pressure
Tao Xie, Zhaoyu Liu, Yanhong Gu +14
Overshadowing the superconducting dome in hole-doped cuprates, the pseudogap state is still one of the mysteries that no consensus can be achieved. It has been suggested that the r…
Origin of the Electronic Structure in Single-Layer FeSe/SrTiO3 Films
Defa Liu, Xianxin Wu, Fangsen Li +18
The accurate theoretical description of the underlying electronic structures is essential for understanding the superconducting mechanism of iron-based superconductors. Compared to…
Electronic Origin of High-Tc Maximization and Persistence in Trilayer Cuprate Superconductors
Xiangyu Luo, Hao Chen, Yinghao Li +18
In high temperature cuprate superconductors, it was found that the superconducting transition temperature Tc depends on the number of CuO2 planes (n) in the structural unit and the…
Finite-time analysis of single-timescale actor-critic
Xuyang Chen, Lin Zhao
Actor-critic methods have achieved significant success in many challenging applications. However, its finite-time convergence is still poorly understood in the most practical singl…
Differentiable Moving Horizon Estimation for Robust Flight Control
Bingheng Wang, Zhengtian Ma, Shupeng Lai +2
Estimating and reacting to external disturbances is of fundamental importance for robust control of quadrotors. Existing estimators typically require significant tuning or training…
World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications
Arif Hassan Zidan, Yi Pan, Hanqi Jiang +23
World models, internal simulators that learn the structure and dynamics of an environment, have emerged as a central paradigm in the pursuit of artificial general intelligence, ena…
One-step exfoliation method for plasmonic activation of large-area 2D crystals
Qiang Fu, Jia-Qi Dai, Xin-Yu Huang +16
Advanced exfoliation techniques are crucial for exploring the intrinsic properties and applications of 2D materials. Though the recently discovered Au-enhanced exfoliation techniqu…
Electronic Nature of Charge Density Wave and Electron-Phonon Coupling in Kagome Superconductor KVSb
Hailan Luo, Qiang Gao, Hongxiong Liu +17
The Kagome superconductors AV3Sb5 (A=K, Rb, Cs) have received enormous attention due to their nontrivial topological electronic structure, anomalous physical properties and superco…
Auto-Multilift: Distributed Learning and Control for Cooperative Load Transportation With Quadrotors
Bingheng Wang, Rui Huang, Lin Zhao
Designing motion control and planning algorithms for multilift systems remains challenging due to the complexities of dynamics, collision avoidance, actuator limits, and scalabilit…
Video-STR: Reinforcing MLLMs in Video Spatio-Temporal Reasoning with Relation Graph
Wentao Wang, Heqing Zou, Tianze Luo +8
Recent progress in Multimodal Large Language Models (MLLMs) has demonstrated strong semantic understanding capabilities, but struggles to perform precise spatio-temporal understand…
Invertible Sharpening Network for MRI Reconstruction Enhancement
Siyuan Dong, Eric Z. Chen, Lin Zhao +4
High-quality MRI reconstruction plays a critical role in clinical applications. Deep learning-based methods have achieved promising results on MRI reconstruction. However, most sta…
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy
Shaoyan Pan, Yikang Liu, Lin Zhao +4
The accurate segmentation of guidewires in interventional cardiac fluoroscopy videos is crucial for computer-aided navigation tasks. Although deep learning methods have demonstrate…
Giant and Reversible Electronic Structure Evolution in a Magnetic Topological Material EuCd2As2
Yang Wang, Cong Li, Taimin Miao +25
The electronic structure and the physical properties of quantum materials can be significantly altered by charge carrier doping and magnetic state transition. Here we report a disc…
Representing Brain Anatomical Regularity and Variability by Few-Shot Embedding
Lu Zhang, Xiaowei Yu, Yanjun Lyu +7
Effective representation of brain anatomical architecture is fundamental in understanding brain regularity and variability. Despite numerous efforts, it is still difficult to infer…
On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control
Jingliang Duan, Wenhan Cao, Yang Zheng +1
The convergence of policy gradient algorithms hinges on the optimization landscape of the underlying optimal control problem. Theoretical insights into these algorithms can often b…
Momentum Q-learning with Finite-Sample Convergence Guarantee
Bowen Weng, Huaqing Xiong, Lin Zhao +2
Existing studies indicate that momentum ideas in conventional optimization can be used to improve the performance of Q-learning algorithms. However, the finite-sample analysis for…
Mountain Muography for China Jinping Underground Laboratory
Xinshun Zhang, Shaomin Chen, Wei Dou +31
The China Jinping Underground Laboratory (CJPL), located ~m beneath Jinping Mountain, is one of the world's deepest and largest () undergro…
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference
Haixing Dai, Mengxuan Hu, Qing Li +12
Alzheimer's disease (AD) is a neurodegenerative disorder that is beginning with amyloidosis, followed by neuronal loss and deterioration in structure, function, and cognition. The…
FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling
Jingting Li, Yu Qian, Lin Zhao +1
Micro-expressions (MEs) are brief, low-intensity, often localized facial expressions. They could reveal genuine emotions individuals may attempt to conceal, valuable in contexts li…
Quantitative Determination of Eliashberg Function and Evidence of Strong Electron Coupling with Multiple Phonon Modes in Heavily Over doped (Bi,Pb)2Sr2CuO6
Lin Zhao, Jing Wang, Junren Shi +16
Super-high resolution laser-based angle-resolved photoemission spectroscopy measurements have been carried out on a heavily overdoped (Bi,Pb)2Sr2CuO6 (Tc> 5 K) superconductor. Taki…
Evaluating Large Language Models for Radiology Natural Language Processing
Zhengliang Liu, Tianyang Zhong, Yiwei Li +43
The rise of large language models (LLMs) has marked a pivotal shift in the field of natural language processing (NLP). LLMs have revolutionized a multitude of domains, and they hav…
Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain
Xu Liu, Mengyue Zhou, Gaosheng Shi +6
Linking computational natural language processing (NLP) models and neural responses to language in the human brain on the one hand facilitates the effort towards disentangling the…
Superconducting Gap and Pseudogap in Sm(OF)FeAs Layered Superconductor from Photoemission Spectroscopy
Haiyun Liu, Xiaowen Jia, Wentao Zhang +20
High resolution photoemission measurements have been carried out on non-superconducting SmOFeAs parent compound and superconducting Sm(OF)FeAs (x=0.12, and 0.15) compou…
DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4
Zhengliang Liu, Yue Huang, Xiaowei Yu +15
The digitization of healthcare has facilitated the sharing and re-using of medical data but has also raised concerns about confidentiality and privacy. HIPAA (Health Insurance Port…
Realization of Kagome Kondo lattice
Boqin Song, Yuyang Xie, Wei-Jian Li +8
The Kondo lattice, describing a grid of the local magnetic moments coupling to itinerant electrons, is a fertile ground of strongly correlated states in condensed matter physics. W…
Extracting Flexibility of Heterogeneous Deferrable Loads via Polytopic Projection Approximation
Lin Zhao, He Hao, Wei Zhang
Aggregation of a large number of responsive loads presents great power flexibility for demand response. An effective control and coordination scheme of flexible loads requires an a…
AION: Aerial Indoor Object-Goal Navigation Using Dual-Policy Reinforcement Learning
Zichen Yan, Yuchen Hou, Shenao Wang +3
Object-Goal Navigation (ObjectNav) requires an agent to autonomously explore an unknown environment and navigate toward target objects specified by a semantic label. While prior wo…
Muon Flux Measurement at China Jinping Underground Laboratory
Ziyi Guo, Lars Bathe-Peters, Shaomin Chen +19
China Jinping Underground Laboratory (CJPL) is ideal for studying solar-, geo-, and supernova neutrinos. A precise measurement of the cosmic-ray background would play an essential…
Rectify ViT Shortcut Learning by Visual Saliency
Chong Ma, Lin Zhao, Yuzhong Chen +7
Shortcut learning is common but harmful to deep learning models, leading to degenerated feature representations and consequently jeopardizing the model's generalizability and inter…
CheXPO: Preference Optimization for Chest X-ray VLMs with Counterfactual Rationale
Xiao Liang, Jiawei Hu, Di Wang +5
Vision-language models (VLMs) are prone to hallucinations that critically compromise reliability in medical applications. While preference optimization can mitigate these hallucina…
Spectroscopic Evidence on Realization of a Genuine Topological Nodal Line Semimetal in LaSbTe
Yang Wang, Yuting Qian, Meng Yang +19
The nodal line semimetals have attracted much attention due to their unique topological electronic structure and exotic physical properties. A genuine nodal line semimetal is quali…
Data-based wind disaster climate identification algorithm and extreme wind speed prediction
Wei Cui, Teng Ma, Lin Zhao +1
An extreme wind speed estimation method that considers wind hazard climate types is critical for design wind load calculation for building structures affected by mixed climates. Ho…
Adapting Vision Foundation Models with Cascaded Semantics
Xi Xiao, Xingjian Li, Cheng Han +8
Prompt tuning, a leading parameter-efficient adaptation paradigm in NLP, has recently been extended to computer vision. Visual prompt tuning (VPT) adapts pre-trained vision transfo…
Electronic Origin of High Temperature Superconductivity in Single-Layer FeSe Superconductor
Defa Liu, Wenhao Zhang, Daixiang Mou +21
The latest discovery of high temperature superconductivity signature in single-layer FeSe is significant because it is possible to break the superconducting critical temperature ce…
Fermi Surface and Band Renormalization in (Sr,K)FeAs Superconductor from Angle-Resolved Photoemission Spectroscopy
Haiyun Liu, Wentao Zhang, Lin Zhao +16
High resolution angle-resolved photoemission measurements have been carried out on (Sr,K)FeAs superconductor (Tc=21 K). Three hole-like Fermi surface sheets are clearly res…
Spectroscopic Evidence of Type II Weyl Semimetal State in WTe2
Chenlu Wang, Yan Zhang, Jianwei Huang +29
Quantum topological materials, exemplified by topological insulators, three-dimensional Dirac semimetals and Weyl semimetals, have attracted much attention recently because of thei…
ARPES Detection of Superconducting Gap Sign in Unconventional Superconductors
Qiang Gao, Jin Mo Bok, Ping Ai +20
Superconductivity is realized by opening a gap in the superconducting state. The gap symmetry is crucial in understanding the underlying superconductivity mechanism. The magnitude…
Strong Anisotropy of Dirac Cone in SrMnBi2 and CaMnBi2 Revealed by Angle-Resolved Photoemission Spectroscopy
Ya Feng, Zhijun Wang, Chaoyu Chen +18
The Dirac materials, such as graphene and three-dimensional topological insulators, have attracted much attention because they exhibit novel quantum phenomena with their low energy…
Electronic Evidence of an Insulator-Superconductor Transition in Single-Layer FeSe/SrTiO3 Films
Junfeng He, Xu Liu, Wenhao Zhang +21
In high temperature cuprate superconductors, it is now generally agreed that the parent compound is a Mott insulator and superconductivity is realized by doping the antiferromagnet…
Distinct Superconducting Gap on Two Bilayer-Split Fermi Surface Sheets in Superconductor
Ping Ai, Qiang Gao, Jing Liu +13
High resolution laser-based angle-resolved photoemission measurements were carried out on an overdoped superconductor with a Tc of 75 K. Two Fermi surface…
Thinking with Gaze: Sequential Eye-Tracking as Visual Reasoning Supervision for Medical VLMs
Yiwei Li, Zihao Wu, Yanjun Lv +8
Vision--language models (VLMs) process images as visual tokens, yet their intermediate reasoning is often carried out in text, which can be suboptimal for visually grounded radiolo…
Neural Functional Alignment Space: Brain-Referenced Representation of Artificial Neural Networks
Ruiyu Yan, Hanqi Jiang, Yi Pan +4
We propose the Neural Functional Alignment Space (NFAS), a brain-referenced representational framework for characterizing artificial neural networks on equal functional grounds. NF…
TransforMARS: Fault-Tolerant Self-Reconfiguration for Arbitrarily Shaped Modular Aerial Robot Systems
Rui Huang, Zhiyu Gao, Siyu Tang +4
Modular Aerial Robot Systems (MARS) consist of multiple drone modules that are physically bound together to form a single structure for flight. Exploiting structural redundancy, MA…
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
Lin Zhao, Tianchen Zhao, Zinan Lin +4
In recent years, there has been significant progress in the development of text-to-image generative models. Evaluating the quality of the generative models is one essential step in…
Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps
Yaonai Wei, Tuo Zhang, Han Zhang +10
Over decades, neuroscience has accumulated a wealth of research results in the text modality that can be used to explore cognitive processes. Meta-analysis is a typical method that…
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT
Zhenxiang Xiao, Yuzhong Chen, Lu Zhang +14
Prompts have been proven to play a crucial role in large language models, and in recent years, vision models have also been using prompts to improve scalability for multiple downst…
Electronic Evidence for Type II Weyl Semimetal State in MoTe2
Aiji Liang, Jianwei Huang, Simin Nie +33
Topological quantum materials, including topological insulators and superconductors, Dirac semimetals and Weyl semimetals, have attracted much attention recently for their unique e…
Observation of Flat Band, Dirac Nodal Lines and Topological Surface States in Kagome Superconductor CsTiBi
Jiangang Yang, Yuyang Xie, Zhen Zhao +23
A kagome lattice of 3d transition metals hosts flat bands, Dirac fermions and saddle points. It provides a versatile platform for achieving topological superconductivity, anomalous…
Suppression of p-Wave Altermagnetism by Localized 4f Electrons in CeNiAsO
Jiuxiang Zhang, Yueyang Sun, Honglin Zhou +32
Altermagnetism, characterized by momentum-dependent spin splitting and zero net magnetization, has so far been explored mainly in weakly or moderately correlated d-electron systems…
Electronic Structure and Superconducting Gap of HgBaCaCuO Revealed by Laser-Based Angle-Resolved Photoemission Spectroscopy
Taimin Miao, Wenshan Hong, Qinghong Wang +18
The spatially-resolved laser-based high resolution angle resolved photoemission spectroscopy (ARPES) measurements have been performed on the optimally-doped HgBaCaCuO$_…
Learning Agile Flight Maneuvers: Deep SE(3) Motion Planning and Control for Quadrotors
Yixiao Wang, Bingheng Wang, Shenning Zhang +2
Agile flights of autonomous quadrotors in cluttered environments require constrained motion planning and control subject to translational and rotational dynamics. Traditional model…
Simultaneous Generation of Direct- and Indirect-Gap Photoluminescence in Multilayer MoS2 Bubbles
Hailan Luo, Xuanyi Li, Yanchong Zhao +12
Transition metal dichalcogenide (TMD) materials have received enormous attention due to their extraodinary optical and electrical properties, among which MoS2 is the most typical o…
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task
Zihao Wu, Lu Zhang, Chao Cao +12
Recently, ChatGPT and GPT-4 have emerged and gained immense global attention due to their unparalleled performance in language processing. Despite demonstrating impressive capabili…
Global Convergence of Two-timescale Actor-Critic for Solving Linear Quadratic Regulator
Xuyang Chen, Jingliang Duan, Yingbin Liang +1
The actor-critic (AC) reinforcement learning algorithms have been the powerhouse behind many challenging applications. Nevertheless, its convergence is fragile in general. To study…
On the Optimal Solutions of the Infinite-Horizon Linear Sensor Scheduling Problem
Lin Zhao, Wei Zhang, Jianghai Hu +2
This paper studies the infinite-horizon sensor scheduling problem for linear Gaussian processes with linear measurement functions. Several important properties of the optimal infin…
Empowering Embodied Manipulation: A Bimanual-Mobile Robot Manipulation Dataset for Household Tasks
Tianle Zhang, Dongjiang Li, Yihang Li +8
The advancements in embodied AI are increasingly enabling robots to tackle complex real-world tasks, such as household manipulation. However, the deployment of robots in these envi…
Universal mechanical exfoliation of large-area 2D crystals
Yuan Huang, Yu-Hao Pan, Rong Yang +27
Two-dimensional (2D) materials provide extraordinary opportunities for exploring phenomena arising in atomically thin crystals. Beginning with the first isolation of graphene, mech…
Cross-Domain Attribute Alignment with CLIP: A Rehearsal-Free Approach for Class-Incremental Unsupervised Domain Adaptation
Kerun Mi, Guoliang Kang, Guangyu Li +3
Class-Incremental Unsupervised Domain Adaptation (CI-UDA) aims to adapt a model from a labeled source domain to an unlabeled target domain, where the sets of potential target class…
Uniqueness of Schrodinger flow via energy inequality
Li Ma, Lin Zhao, Jing Wang
In this short note, we show a uniqueness result of the energy solutions for the Cauchy problem of Schrodinger flow in the whole space provided there is a smooth solution in t…
One-shot learning for the complex dynamical behaviors of weakly nonlinear forced oscillators
Teng Ma, Luca Rosafalco, Wei Cui +2
Extrapolative prediction of complex nonlinear dynamics remains a central challenge in engineering. This study proposes a one-shot learning method to identify global frequency-respo…
Electronic Origin of Density Wave Orders in a Trilayer Nickelate
Jiangang Yang, Jun Zhan, Taimin Miao +24
The discovery of superconductivity in Ruddlesden-Popper nickelates has established a new frontier in the study of high-temperature superconductors. However, the underlying pairing…
Growth, characterization and physical properties of high-quality large single crystals of BiSrLaCuO high-temperature superconductors
Jianqiao Meng, Guodong Liu, Wentao Zhang +5
High quality large BiSrLaCuO(La-Bi2201) single crystals have been successfully grown by the traveling solvent floating zone technique. The samples are charact…
DiffCoord: Differentiable Coordination for Distributed Multi-Agent Trajectory Optimization
Bingheng Wang, Yichao Gao, Tianchen Sun +2
Integrating the Alternating Direction Method of Multipliers (ADMM) with Differential Dynamic Programming (DDP) provides a scalable framework for distributed multi-agent trajectory…
Stabilization of Nonlinear Systems with State-Dependent Representation: From Model-Based to Direct Data-Driven Control
Lidong Li, Rui Huang, Lin Zhao
This paper presents a novel framework for stabilizing nonlinear systems represented in state-dependent form. We first reformulate the nonlinear dynamics as a state-dependent parame…
Extraction of Electron Self-Energy and Gap Function in the Superconducting State of Bi_2Sr_2CaCu_2O_8 Superconductor via Laser-Based Angle-Resolved Photoemission
Wentao Zhang, Jin Mo Bok, Jae Hyun Yun +28
Super-high resolution laser-based angle-resolved photoemission measurements have been performed on a high temperature superconductor Bi_2Sr_2CaCu_2O_8. The band back-bending charac…
MARS-Dragonfly: Agile and Robust Flight Control of Modular Aerial Robot Systems
Rui Huang, Zhiqian Cai, Siyu Tang +6
Modular Aerial Robot Systems (MARS) comprise multiple drone units with reconfigurable connected formations, providing high adaptability to diverse mission scenarios, fault conditio…
HIERAMP: Coarse-to-Fine Autoregressive Amplification for Generative Dataset Distillation
Lin Zhao, Xinru Jiang, Xi Xiao +7
Dataset distillation often prioritizes global semantic proximity when creating small surrogate datasets for original large-scale ones. However, object semantics are inherently hier…
Flash-WAM: Modality-Aware Distillation for World Action Models
Arman Akbari, Ci Zhang, Arash Akbari +6
World-action models (WAMs) jointly generate future video and robot actions through iterative diffusion, achieving strong performance on manipulation benchmarks but requiring tens o…
Evolution of Charge and Pair Density Modulations in Overdoped Bi2Sr2CuO6+delta
Xintong Li, Changwei Zou, Ying Ding +7
One of the central issues concerning the mechanism of high temperature superconductivity in cuprates is the nature of the ubiquitous charge order and its implications to supercondu…
Disentangling Spatial-Temporal Functional Brain Networks via Twin-Transformers
Xiaowei Yu, Lu Zhang, Lin Zhao +3
How to identify and characterize functional brain networks (BN) is fundamental to gain system-level insights into the mechanisms of brain organizational architecture. Current funct…
Radiology-Llama2: Best-in-Class Large Language Model for Radiology
Zhengliang Liu, Yiwei Li, Peng Shu +18
This paper introduces Radiology-Llama2, a large language model specialized for radiology through a process known as instruction tuning. Radiology-Llama2 is based on the Llama2 arch…
A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers
Yuzhong Chen, Yu Du, Zhenxiang Xiao +8
Vision transformer (ViT) and its variants have achieved remarkable successes in various visual tasks. The key characteristic of these ViT models is to adopt different aggregation s…
Neutron Spin Resonance Near a Lifshitz Transition in Overdoped BaKFeAs
Yang Li, Dingsong Wu, Yingjie Shu +11
Elucidating the relationship between spin excitations and fermiology is essential for clarifying the pairing mechanism in iron-based superconductors (FeSCs). Here, we report inelas…
PepMLM: Target Sequence-Conditioned Generation of Therapeutic Peptide Binders via Span Masked Language Modeling
Tianlai Chen, Madeleine Dumas, Rio Watson +17
Target proteins that lack accessible binding pockets and conformational stability have posed increasing challenges for drug development. Induced proximity strategies, such as PROTA…
Trust-Region Neural Moving Horizon Estimation for Robots
Bingheng Wang, Xuyang Chen, Lin Zhao
Accurate disturbance estimation is essential for safe robot operations. The recently proposed neural moving horizon estimation (NeuroMHE), which uses a portable neural network to m…
High Energy Dispersions in Bi2Sr2CaCu2O8 High Temperature Superconductor from Laser-Based Angle-Resolved Photoemission
Wentao Zhang, Guodong Liu, Jianqiao Meng +17
Super-high resolution laser-based angle-resolved photoemission (ARPES) measurements have been carried out on the high energy electron dynamics in Bi2Sr2CaCu2O8 (Bi2212) high temper…
Shifting Adaptation from Weight Space to Memory Space: A Memory-Augmented Agent for Medical Image Segmentation
Bowen Chen, Qiaohui Gao, Shaowen Wan +5
Medical image segmentation is fundamental to clinical workflows, yet models trained on a single dataset often fail to generalize across institutions, scanners, or patient populatio…
Evaluation of OpenAI o1: Opportunities and Challenges of AGI
Tianyang Zhong, Zhengliang Liu, Yi Pan +73
This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, spanning multiple domains, includi…
Selective Hybridization between Main Band and Superstructure Band in BiSrCaCuO Superconductor
Qiang Gao, Hongtao Yan, Jing Liu +20
High-resolution laser-based angle-resolved photoemission measurements have been carried out on BiSrCaCuO (Bi2212) and BiSrLaCuO (Bi220…
Robust Self-Reconfiguration for Fault-Tolerant Control of Modular Aerial Robot Systems
Rui Huang, Siyu Tang, Zhiqian Cai +1
Modular Aerial Robotic Systems (MARS) consist of multiple drone units assembled into a single, integrated rigid flying platform. With inherent redundancy, MARS can self-reconfigure…