Publications (92)
Learning Temporal Abstractions via Variational Homomorphisms in Option-Induced Abstract MDPs
Chang Li, Yaren Zhang, Haoran Lv +3
Large Language Models (LLMs) have shown remarkable reasoning ability through explicit Chain-of-Thought (CoT) prompting, but generating these step-by-step textual explanations is co…
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models
Gang Li, Heliang Zheng, Chaoyue Wang +3
Text-guided diffusion models have shown superior performance in image/video generation and editing. While few explorations have been performed in 3D scenarios. In this paper, we di…
Second order estimates for complex Hessian equations on Hermitian manifolds
Weisong Dong, Chang Li
We derive second order estimates for -plurisubharmonic solutions of complex Hessian equations with right hand sides depending on gradients on compact Hermitian manifolds.
Analytical Modeling of Real-World Photonic Quantum Teleportation
Neil Sinclair, Samantha I. Davis, Nikolai Lauk +5
We develop analytical models for realistic photonic quantum teleportation experiments with time-bin qubits, utilizing phase space methods from quantum optics. These models yield an…
Graph Representation Learning for Infrared and Visible Image Fusion
Jing Li, Lu Bai, Bin Yang +3
Infrared and visible image fusion aims to extract complementary features to synthesize a single fused image. Many methods employ convolutional neural networks (CNNs) to extract loc…
Exploring Efficient Waveform Diffusion Models for Foley Sound Generation
Runwu Shi, Chang Li, Jiahui Li +7
Recent advances in diffusion models have enabled high-fidelity Foley sound generation directly in the waveform space. Existing waveform diffusion models primarily rely on time-doma…
Probabilistic Feature Selection and Classification Vector Machine
Bingbing Jiang, Chang Li, Maarten de Rijke +2
Sparse Bayesian learning is a state-of-the-art supervised learning algorithm that can choose a subset of relevant samples from the input data and make reliable probabilistic predic…
FLSSM: A Federated Learning Storage Security Model with Homomorphic Encryption
Yang Li, Chunhe Xia, Chang Li +2
Federated learning based on homomorphic encryption has received widespread attention due to its high security and enhanced protection of user data privacy. However, the characteris…
MRIo3DS-Net: A Mutually Reinforcing Images to 3D Surface RNN-like framework for model-adaptation indoor 3D reconstruction
Chang Li, Jiao Guo, Yufei Zhao +1
This paper is the first to propose an end-to-end framework of mutually reinforcing images to 3D surface recurrent neural network-like for model-adaptation indoor 3D reconstruction,…
Agentic LLM Reasoning in a Self-Driving Laboratory for Air-Sensitive Lithium Halide Spinel Conductors
Yuxing Fei, Bernardus Rendy, Xiaochen Yang +7
Self-driving laboratories promise to accelerate materials discovery. Yet current automated solid-state synthesis platforms are limited to ambient conditions, thereby precluding the…
The character of ideal circle patterns
Chang Li, Aijin Lin, Liangming Shen
Let be an oriented closed surface with a cellular decomposition and a weight . It is crucial to determine when supports an ideal -t…
RespDiff: An End-to-End Multi-scale RNN Diffusion Model for Respiratory Waveform Estimation from PPG Signals
Yuyang Miao, Zehua Chen, Chang Li +1
Respiratory rate (RR) is a critical health indicator often monitored under inconvenient scenarios, limiting its practicality for continuous monitoring. Photoplethysmography (PPG) s…
Trace Is In Sentences: Unbiased Lightweight ChatGPT-Generated Text Detector
Mo Mu, Dianqiao Lei, Chang Li
The widespread adoption of ChatGPT has raised concerns about its misuse, highlighting the need for robust detection of AI-generated text. Current word-level detectors are vulnerabl…
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback
Chang Li, Branislav Kveton, Tor Lattimore +4
In this paper, we study the problem of safe online learning to re-rank, where user feedback is used to improve the quality of displayed lists. Learning to rank has traditionally be…
Experimental Demonstration of Controllable PT and anti-PT Coupling in a non-Hermitian Metamaterial
Chang Li, Ruisheng Yang, Xinchao Huang +3
Non-Hermiticity has recently emerged as a rapidly developing field due to its exotic characteristics related to open systems, where the dissipation plays a critical role. In the pr…
Human Action Recognition Based on Multi-scale Feature Maps from Depth Video Sequences
Chang Li, Qian Huang, Xing Li +1
Human action recognition is an active research area in computer vision. Although great process has been made, previous methods mostly recognize actions based on depth data at only…
DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation
Guoping Xu, Ximing Wu, Wentao Liao +3
Accurately segmenting lesions in ultrasound images is challenging due to the difficulty in distinguishing boundaries between lesions and surrounding tissues. While deep learning ha…
Online Learning to Rank with List-level Feedback for Image Filtering
Chang Li, Artem Grotov, Ilya Markov +1
Online learning to rank (OLTR) via implicit feedback has been extensively studied for document retrieval in cases where the feedback is available at the level of individual items.…
Exploiting the Prior of Generative Time Series Imputation
YuYang Miao, Chang Li, Zehua Chen
Time series imputation, i.e., filling the missing values of a time recording, finds various applications in electricity, finance, and weather modelling. Previous methods have intro…
UDHF2-Net: Uncertainty-diffusion-model-based High-Frequency TransFormer Network for Remotely Sensed Imagery Interpretation
Pengfei Zhang, Chang Li, Yongjun Zhang +3
Remotely sensed imagery interpretation (RSII) faces the three major problems: (1) objective representation of spatial distribution patterns; (2) edge uncertainty problem caused by…
An Atomic Skill Library Construction Method for Data-Efficient Embodied Manipulation
Dongjiang Li, Bo Peng, Chang Li +13
Embodied manipulation is a fundamental ability in the realm of embodied artificial intelligence. Although current embodied manipulation models show certain generalizations in speci…
Elastic Tactile Simulation Towards Tactile-Visual Perception
Yikai Wang, Wenbing Huang, Bin Fang +2
Tactile sensing plays an important role in robotic perception and manipulation tasks. To overcome the real-world limitations of data collection, simulating tactile response in a vi…
A Finite Horizon Optimal Stochastic Impulse Control Problem with A Decision Lag
Chang Li, Jiongmin Yong
This paper studies an optimal stochastic impulse control problem in a finite horizon with a decision lag, by which we mean that after an impulse is made, a fixed number units of ti…
Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity
Chang Li, Haoyun Feng, Maarten de Rijke
Relevance ranking and result diversification are two core areas in modern recommender systems. Relevance ranking aims at building a ranked list sorted in decreasing order of item r…
Success Probability and Area Spectral Efficiency in Multiuser MIMO HetNets
Chang Li, Jun Zhang, Jeffrey G. Andrews +1
We derive a general and closed-form result for the success probability in downlink multiple-antenna (MIMO) heterogeneous cellular networks (HetNets), utilizing a novel Toeplitz mat…
Latent Swap Joint Diffusion for 2D Long-Form Latent Generation
Yusheng Dai, Chenxi Wang, Chang Li +7
This paper introduces Swap Forward (SaFa), a modality-agnostic and efficient method to generate seamless and coherence long spectrum and panorama through latent swap joint diffusio…
Stage-adaptive audio diffusion modeling
Xuanhao Zhang, Chang Li
Recent progress in diffusion-based audio generation and restoration has substantially improved performance across heterogeneous conditioning regimes, including text-conditioned aud…
Quality-aware Masked Diffusion Transformer for Enhanced Music Generation
Chang Li, Ruoyu Wang, Lijuan Liu +7
Text-to-music (TTM) generation, which converts textual descriptions into audio, opens up innovative avenues for multimedia creation. Achieving high quality and diversity in this pr…
An Intelligent Remote Sensing Image Quality Inspection System
Yijiong Yu, Tao Wang, Kang Ran +2
Due to the inevitable presence of quality problems, quality inspection of remote sensing images is indeed an indispensable step between the acquisition and the application of them.…
An Improved Artificial Fish Swarm Algorithm for Solving the Problem of Investigation Path Planning
Qian Huang, Weiwen Qian, Chang Li +1
Informationization is a prevailing trend in today's world. The increasing demand for information in decision-making processes poses significant challenges for investigation activit…
Positional uncertainty and quality assurance of digital elevation change detection (DECD)
Chang Li, Qi Meng, Dong Wei +2
Studies on rapid change detection of large area urgently need to be extended from 2D image to digital elevation model (DEM) due to the challenge of changes caused by disasters. Thi…
FreeAudio: Training-Free Timing Planning for Controllable Long-Form Text-to-Audio Generation
Yuxuan Jiang, Zehua Chen, Zeqian Ju +3
Text-to-audio (T2A) generation has achieved promising results with the recent advances in generative models. However, because of the limited quality and quantity of temporally-alig…
Infinite combinatorial Ricci flow in spherical background geometry
Chang Li, Yangxiang Lu, Hao Yu
Since the fundamental work of Chow-Luo \cite{CL03}, Ge \cite{Ge12,Ge17} et al., the combinatorial curvature flow methods became a basic technique in the study of circle pattern the…
Tailoring composite skyrmionic spin textures in an above-room-temperature ferromagnet Fe3-xGaTe2
Songyang Li, Jianfeng Guo, Zizhao Gong +12
Realizing room-temperature tunable skyrmionic objects in van der Waals ferromagnet offers unparalleled prospects for future spintronics. Here, we report an experimental investigati…
A Tractable Framework for Performance Analysis of Dense Multi-Antenna Networks
Xianghao Yu, Chang Li, Jun Zhang +1
Densifying the network and deploying more antennas at each access point are two principal ways to boost the capacity of wireless networks. However, due to the complicated distribut…
NaCl-Assisted Growth of Ferroelectric SnSe Nanosheets with Spin Glass-like Behavior
Huiwen Xu, Hanxiang Wu, Chang Li +1
Two-dimensional (2D) SnSe is an emerging 2D material exhibiting intriguing properties such as ferroelectricity and nonlinear optical response. Here, high-quality single-crystalline…
Audio Super-Resolution with Latent Bridge Models
Chang Li, Zehua Chen, Liyuan Wang +1
Audio super-resolution (SR), i.e., upsampling the low-resolution (LR) waveform to the high-resolution (HR) version, has recently been explored with diffusion and bridge models, whi…
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System
Chao Xue, Wei Liu, Shuai Xie +25
Automated machine learning (AutoML) seeks to build ML models with minimal human effort. While considerable research has been conducted in the area of AutoML in general, aiming to t…
JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token Efficiency
Aichen Cai, Anmeng Zhang, Anyu Li +66
We introduce JoyAI-LLM Flash, an efficient Mixture-of-Experts (MoE) language model designed to redefine the trade-off between strong performance and token efficiency in the sub-50B…
ISWSST: Index-space-wave State Superposition Transformers for Multispectral Remotely Sensed Imagery Semantic Segmentation
Chang Li, Pengfei Zhang, Yu Wang
Currently the semantic segmentation task of multispectral remotely sensed imagery (MSRSI) faces the following problems: 1) Usually, only single domain feature (i.e., space domain o…
FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection
Dongmei Zhang, Chang Li, Ray Zhang +4
The superior performances of pre-trained foundation models in various visual tasks underscore their potential to enhance the 2D models' open-vocabulary ability. Existing methods ex…
Resolving the bias-precision paradox with stochastic causal representation learning for personalized medicine
Peisong Zhang, Manqiang Peng, Yuxuan Wu +21
Estimating individualized treatment effects from longitudinal observational data is central to data-driven medicine, yet existing methods face a fundamental limitation: reducing co…
Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System
Jing Li, Lu Bai, Bin Yang +4
Infrared and visible image fusion (IVF) plays an important role in intelligent transportation system (ITS). The early works predominantly focus on boosting the visual appeal of the…
Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis
Yunduo Zhou, Bo Dong, Chang Li +4
Homeostatic mechanisms play a crucial role in maintaining optimal functionality within the neural circuits of the brain. By regulating physiological and biochemical processes, thes…
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Chuang Liu, Yibing Zhan, Jia Wu +5
Graph neural networks have emerged as a leading architecture for many graph-level tasks, such as graph classification and graph generation. As an essential component of the archite…
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model
Chang Li, Maarten de Rijke
Non-stationarity appears in many online applications such as web search and advertising. In this paper, we study the online learning to rank problem in a non-stationary environment…
AudioMoG: Guiding Audio Generation with Mixture-of-Guidance
Junyou Wang, Zehua Chen, Binjie Yuan +4
The design of diffusion-based audio generation systems has been investigated from diverse perspectives, such as data space, network architecture, and conditioning techniques, while…
Unveiling the delicate "hidden" interface conditions in WS2 flakes by advanced atomic force microscopy
Yanyan Geng, Chang Li, Shuo Mi +15
The delicate interfacial conditions and behaviors play critical roles in determining the valuable physical properties of two-dimensional materials and their heterostructures on sub…
An application of a -estimate for a complex Monge-Ampère equation
Chang Li, Lei Ni, Xiaohua Zhu
By studying a complex Monge-Ampère equation, we present an alternate proof to a recent result of Chu-Lee-Tam concerning the projectivity of a compact Kähler manifold with $…
High dimensional entanglement between a photon and a multiplexed atomic quantum memory
Chang Li, Yukai Wu, Wei Chang +4
Multiplexed quantum memories and high-dimensional entanglement can improve the performance of quantum repeaters by promoting the entanglement generation rate and the quantum commun…
Compact optical waveform generator with digital feedback
Shuzhe Yang, Guido Masella, Vase Moeini +4
A key requirement for quantum technologies based on atoms, ions, and molecules, is the ability to realize precise phase- and amplitude-controlled quantum operations via coherent la…
Rigidity of eigenvalues of shrinking Ricci solitons
Chang Li, Huaiyu Zhang, Xi Zhang
In this paper, we study the rigidity of eigenvalues of shring Ricci solitons. It is known that the drifted Laplacian on shrinking Ricci solitons has discrete spectrum, its eigenval…
A Novel Downsampling Strategy Based on Information Complementarity for Medical Image Segmentation
Wenbo Yue, Chang Li, Guoping Xu
In convolutional neural networks (CNNs), downsampling operations are crucial to model performance. Although traditional downsampling methods (such as maximum pooling and cross-row…
BRFL: A Blockchain-based Byzantine-Robust Federated Learning Model
Yang Li, Chunhe Xia, Chang Li +1
With the increasing importance of machine learning, the privacy and security of training data have become critical. Federated learning, which stores data in distributed nodes and s…
DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human Action Recognition
Chang Li, Qian Huang, Yingchi Mao
Graph Convolutional Networks (GCNs) have been widely used in skeleton-based human action recognition. In GCN-based methods, the spatio-temporal graph is fundamental for capturing m…
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey
Xun Chen, Chang Li, Aiping Liu +3
Electroencephalogram (EEG) decoding aims to identify the perceptual, semantic, and cognitive content of neural processing based on non-invasively measured brain activity. Tradition…
Multicell Atomic Quantum Memory as a Hardware-Efficient Quantum Repeater Node
Chang Li, Sheng Zhang, Yukai Wu +3
For scalable quantum communication and networks, a key step is to realize a quantum repeater node that can efficiently connect different segments of atom-photon entanglement using…
Stabilized Higher-Order Influence Functions: Statistical Theory of a Class of Bilinear Forms
Na Liu, Chang Li, Yujia Gu +1
Higher-order influence functions, introduced in a series of articles (Robins et al., 2008, 2009a; van der Vaart, 2014; Robins et al., 2016, 2023; Liu et al., 2017), are a unified f…
Fibration Policy Optimization
Chang Li, Tshihao Tsu, Yaren Zhang +2
Large language models are increasingly trained as heterogeneous systems spanning multiple domains, expert partitions, and agentic pipelines, yet prevalent proximal objectives opera…
New -consistent, numerically stable higher-order influence function estimators
Lin Liu, Chang Li
Higher-Order Influence Functions (HOIFs) provide a unified theory for constructing rate-optimal estimators for a large class of low-dimensional (smooth) statistical functionals/par…
Zero-Shot Polygon Matching with Pre-trained Models for Pose Estimation and Polygon Cloud from Challenging Stereo
Chang Li, Xingtao Peng
While stereo matching has achieved maturity for 0D point and 1D line primitives, establishing correspondences for 2D polygons remains largely unexplored due to challenges including…
PulseGAN: Learning to generate realistic pulse waveforms in remote photoplethysmography
Rencheng Song, Huan Chen, Juan Cheng +3
Remote photoplethysmography (rPPG) is a non-contact technique for measuring cardiac signals from facial videos. High-quality rPPG pulse signals are urgently demanded in many fields…
Intertwined atomic-nanoscale-microscale structures via intralayer anisotropic Fe-chains in the layered ferromagnet FePd2Te2
Manyu Wang, Chang Li, Bingxian Shi +12
Controlling mesoscale and nanoscale material structures and properties through self-organized atomic behavior is essential for atomic-scale manufacturing. However, direct and visua…
Prompt-aware classifier free guidance for diffusion models
Xuanhao Zhang, Chang Li
Diffusion models have achieved remarkable progress in image and audio generation, largely due to Classifier-Free Guidance. However, the choice of guidance scale remains underexplor…
Unsupervised Single-Channel Audio Separation with Diffusion Source Priors
Runwu Shi, Chang Li, Jiang Wang +5
Single-channel audio separation aims to separate individual sources from a single-channel mixture. Most existing methods rely on supervised learning with synthetically generated pa…
ΩSFormer: Dual-Modal Ω-like Super-Resolution Transformer Network for Cross-scale and High-accuracy Terraced Field Vectorization Extraction
Chang Li, Yu Wang, Ce Zhang +1
Terraced field is a significant engineering practice for soil and water conservation (SWC). Terraced field extraction from remotely sensed imagery is the foundation for monitoring…
The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration
Haoyuan Xu, Chang Li, Xinyan Ma +12
Tool use enables large language models (LLMs) to access external information, invoke software systems, and act in digital environments beyond what can be solved from model paramete…
Experimental demonstration of memory-enhanced scaling for entanglement connection of quantum repeater segments
Yunfei Pu, Sheng Zhang, Yukai Wu +4
The quantum repeater protocol is a promising approach to implement long-distance quantum communication and large-scale quantum networks. A key idea of the quantum repeater protocol…
Quantum Communication between Multiplexed Atomic Quantum Memories
Chang Li, Nan Jiang, Yukai Wu +4
The use of multiplexed atomic quantum memories (MAQM) can significantly enhance the efficiency to establish entanglement in a quantum network. In the previous experiments, individu…
The Auton Agentic AI Framework
Sheng Cao, Zhao Chang, Chang Li +3
The field of Artificial Intelligence is undergoing a transition from Generative AI -- probabilistic generation of text and images -- to Agentic AI, in which autonomous systems exec…
Entanglement swapping systems toward a quantum internet
Samantha I. Davis, Raju Valivarthi, Andrew Cameron +14
We demonstrate conditional entanglement swapping, i.e. teleportation of entanglement, between time-bin qubits at the telecommunication wavelength of 1536.4 nm with high fidelity of…
Beyond Token Length: Step Pruner for Efficient and Accurate Reasoning in Large Language Models
Canhui Wu, Qiong Cao, Chang Li +5
Large Reasoning Models (LRMs) demonstrate strong performance on complex tasks but often suffer from excessive verbosity, known as "overthinking." Existing solutions via reinforceme…
Optimizing Ranking Systems Online as Bandits
Chang Li
Ranking system is the core part of modern retrieval and recommender systems, where the goal is to rank candidate items given user contexts. Optimizing ranking systems online means…
Green Haven or Risky Venture? Exploring the Connectedness and Hedging of Sustainable Cryptocurrencies and Green Financial Markets
Chang Li, Rui Jiang, Hao Wu +1
Conventional cryptocurrency often leads to increased energy consumption and carbon emissions, while sustainable cryptocurrencies possess the potential to become a green alternative…
MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation
Chang Li, Ilya Markov, Maarten de Rijke +1
Online ranker evaluation is one of the key challenges in information retrieval. While the preferences of rankers can be inferred by interleaving methods, the problem of how to effe…
A Unified Framework for the Tractable Analysis of Multi-Antenna Wireless Networks
Xianghao Yu, Chang Li, Jun Zhang +2
Densifying networks and deploying more antennas at each access point are two principal ways to boost the capacity of wireless networks. However, the complicated distributions of th…
Coverage Optimization of Camera Network for Continuous Deformable Object
Chang Li, Xi Chen, Li Chai
In this paper, a deformable object is considered for cameras deployment with the aim of visual coverage. The object contour is discretized into sampled points as meshes, and the de…
User-Centric Intercell Interference Nulling for Downlink Small Cell Networks
Chang Li, Jun Zhang, Martin Haenggi +1
Small cell networks are regarded as a promising candidate to meet the exponential growth of mobile data traffic in cellular networks. With a dense deployment of access points, spat…
PACE: Pretrained Audio Continual Learning
Chang Li, Kanglei Zhou, Liyuan Wang
Audio is a fundamental modality for analyzing speech, music, and environmental sounds. Although pretrained audio models have significantly advanced audio understanding, they remain…
Incremental Sparse Bayesian Ordinal Regression
Chang Li, Maarten de Rijke
Ordinal Regression (OR) aims to model the ordering information between different data categories, which is a crucial topic in multi-label learning. An important class of approaches…
Bridge-SR: Schrödinger Bridge for Efficient SR
Chang Li, Zehua Chen, Fan Bao +1
Speech super-resolution (SR), which generates a waveform at a higher sampling rate from its low-resolution version, is a long-standing critical task in speech restoration. Previous…
Scalar V-soliton equation and Kähler-Ricci flow on symplectic quotients
Chang Li
In this paper, we consider the -soliton equation which is a degenerate fully nonlinear equation introduced by La Nave and Tian in their work on Kähler-Ricci flow on symplectic…
Quantum-Memory-Enhanced Preparation of Nonlocal Graph States
Sheng Zhang, Yu-Kai Wu, Chang Li +3
Graph states are an important class of multipartite entangled states. Previous experimental generation of graph states and in particular the Greenberger-Horne-Zeilinger (GHZ) state…
Unsupervised Single-Channel Speech Separation with Diffusion under Speaker-Embedding Guidance
Runwu Shi, Kai Li, Chang Li +5
Speech separation is a fundamental task in audio processing, typically addressed with fully supervised systems trained on paired mixtures. While effective, such systems typically r…
Spin Grouping in Ring Cavity and its Protection on Entangled States Transfer
Chang Li
Long-range interactions are essential for large-scale quantum computation and quantum interconnections. Cavities provide a promising avenue to achieve long-range interaction by enh…
BriMA: Bridged Modality Adaptation for Multi-Modal Continual Action Quality Assessment
Kanglei Zhou, Chang Li, Qingyi Pan +1
Action Quality Assessment (AQA) aims to score how well an action is performed and is widely used in sports analysis, rehabilitation assessment, and human skill evaluation. Multi-mo…
Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving
Yuxin Cao, Yedi Zhang, Wentao He +5
Learning-based autonomous driving systems remain critically vulnerable to adversarial patches, posing serious safety and security risks in their real-world deployment. Black-box at…
Federated Unbiased Learning to Rank
Chang Li, Hua Ouyang
Unbiased Learning to Rank (ULTR) studies the problem of learning a ranking function based on biased user interactions. In this framework, ULTR algorithms have to rely on a large am…
Intrinsic motivation in virtual assistant interaction for fostering spontaneous interactions
Chang Li, Hideyoshi Yanagisawa
With the growing utility of today's conversational virtual assistants, the importance of user motivation in human-AI interaction is becoming more obvious. However, previous studies…
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Jiafeng Liang, Hao Li, Chang Li +12
Memory serves as the pivotal nexus bridging past and future, providing both humans and AI systems with invaluable concepts and experience to navigate complex tasks. Recent research…
Realization of polytype heterostructures via delicate structural transitions from a doped-Mott insulator
Yanyan Geng, Manyu Wang, Shumin Meng +9
Transition metal dichalcogenides (TMDs) host multiple competing structural and electronic phases, making them an ideal platform for constructing polytype heterostructures with emer…
SOM-Net: Unrolling the Subspace-based Optimization for Solving Full-wave Inverse Scattering Problems
Yu Liu, Hao Zhao, Rencheng Song +3
In this paper, an unrolling algorithm of the iterative subspace-based optimization method (SOM) is proposed for solving full-wave inverse scattering problems (ISPs). The unrolling…