A5021693730- Software Engineering Research
- Advanced Memory and Neural Computing
- Topic Modeling
- Ferroelectric and Negative Capacitance Devices
- Software Testing and Debugging Techniques
- Neural Networks and Reservoir Computing
- Software System Performance and Reliability
- Advanced Malware Detection Techniques
- Anomaly Detection Techniques and Applications
- Network Security and Intrusion Detection
- Environmental and Agricultural Sciences
- Natural Language Processing Techniques
- Neural dynamics and brain function
- Noncommutative and Quantum Gravity Theories
- Advanced Thermodynamics and Statistical Mechanics
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Adversarial Robustness in Machine Learning
- Topological Materials and Phenomena
- Electronic and Structural Properties of Oxides
- Regional Economic and Spatial Analysis
- Algebraic and Geometric Analysis
- Historical Studies and Socio-cultural Analysis
- Digital Rights Management and Security
- Academic integrity and plagiarism
Peking University
2019-2025
Shanghai Pulmonary Hospital
2025
Tongji University
2025
Kunming Medical University
2025
Shandong University of Science and Technology
2023-2024
Binzhou University
2024
Binzhou Medical University
2024
Sichuan Tourism University
2024
Chinese People's Liberation Army
2024
Guilin University of Electronic Technology
2024
Dynamic physical systems such as reservoir computing (RC) architectures show a great prospect in temporal information processing, whereas hierarchical processing capability is still lacking due to the absence of advanced multilayer elements. Here, stackable system constructed based on ferroelectric α-In2 Se3 devices with voltage input and output, which realized by dynamic division between field-effect transistor planar device therefore allows reservoirs cascade, enabling RC. Fast Fourier...
The recent advances in optic neuromorphic devices have led to a subsequent rise use for construction of energy-efficient artificial-vision systems. widespread can be attributed their ability capture, store, and process visual information from the environment. primary limitations existing include nonlinear weight updates, cross-talk issues, silicon incompatibility. In this study, highly linear, light-tunable, cross-talk-free, silicon-compatible one-phototransistor-one-memristor (1PT1R)...
Code translation tools, namely transpilers, are developed for automatic source-to-source translation. Latest learning-based transpilers have shown impressive enhancement against rule-based counterparts in both accuracy and readability, owing to their task-specific pre-training on extensive monolingual corpora. Nevertheless, current performance still remains unsatisfactory practical deployment, the associated training resources also prohibitively expensive. Large Language Models (LLMs),...
Code comment has been an important part of computer programs, greatly facilitating the understanding and maintenance source code. However, high-quality code comments are often unavailable in smart contracts, increasingly popular programs that run on blockchain. In this paper, we propose a Multi-Modal Transformer-based (MMTrans) summarization approach for contracts. Specifically, MMTrans learns representation from two heterogeneous modalities Abstract Syntax Tree (AST), i.e., Structure-based...
Software comments sometimes are not promptly updated in sync when the associated code is changed. The inconsistency between and may mislead developers result future bugs. Thus, studies concerning code-comment synchronization have become highly important, which aims to automatically synchronize with changes. Existing approaches mainly contain two types, i.e., (1) deep learning-based (e.g., CUP), (2) heuristic-based HebCUP). former constructs a neural machine translation-structured semantic...
Abstract Understanding the mechanisms of candidate drugs play an important role in drug discovery. The activating/inhibiting between and targets are major types drugs. Owing to complexity drug–target (DT) data scarcity, modelling this problem based on deep learning methods accurately predict DT remains a considerable challenge. Here, by considering network pharmacology, we propose multi-view model, DrugAI, which combines four modules, i.e. graph neural for drugs, convolutional targets,...
The rapid development of visual neuromorphic hardware can be attributed to their ability capture, store and process optical signals from the environment. main limitation existing is that realization complex functions premised on increase manufacturing cost, volume energy consumption. In this study, we demonstrated an synaptic device based a three-terminal van der Waals (vdW) heterojunction realize sensing light wavelength intensity as well short-term long-term plasticity. image recognition...
Abstract Developing versatile and reliable memristive devices is crucial for advancing future memory computing architectures. The years of intensive research have still not reached demonstrated their full horizon capabilities, new concepts are essential successfully using the complete spectra functionalities industrial applications. Here, we introduce two-terminal ohmic memristor, characterized by a different type switching defined as filament conductivity change mechanism (FCM). operation...
Abstract Computing‐in‐memory (CIM) architecture inspired by the hierarchy of human brain is proposed to resolve von Neumann bottleneck and boost acceleration artificial intelligence. Whereas remarkable progress has been achieved for CIM, making further improvements in CIM performance becoming increasingly challenging, which mainly caused disparity between rapid evolution synaptic arrays relatively slow building efficient neuronal devices. Specifically, dedicated efforts are required toward...
Conventional vision systems suffer from lots of data handling between memory and processing units. Inspired by how humans recognize noisy images the flexible modulation on timescale ion dynamics inside an emerging memtransistor, a novel neuromorphic system is reported based ion‐modulated memtransistors. By controlling ion‐doping processes under adequate stimuli strengths, both short‐term long‐term can be utilized to deliver energy‐efficient processing. When dealing with image...
Pulmonary mucinous adenocarcinoma (PMA), a rare type of adenocarcinoma, remains controversial in terms its associated prognosis. We conducted this study to compare the oncological outcomes lobectomy and sublobectomy for peripheral small-sized PMA. This retrospective observational included all patients with (≤2 cm) clinical stage IA1-A2 PMA who underwent or (with margin distances ≥2 cm greater than tumor diameter) between January 2015 December 2018. Recurrence-free survival (RFS) overall (OS)...
The rapid development of deep learning enables significant breakthroughs for intelligent edge‐terminal devices. However, neural network training edge computing is currently overly dependent on cloud service platforms, resulting in low adaptivity fast‐changing real‐world environments. energy efficiency also strictly constrained by the traditional Von‐Neumann architecture with separate memory and processing units. To improve adaptability devices, a fully parallel online scheme based...
When dealing with multi-view data, the heterogeneity of data attributes across different views often leads to label ambiguity. To effectively address this challenge, paper designs a Multi-View Partial-Label Learning (MVPLL) framework, where each training instance is described by multiple view features and associated set candidate labels, among which only one correct. The key deal such problem lies in how fuse information accurately disambiguate these ambiguous labels. In paper, we propose...
Diffusion models have exhibited substantial success in text-to-image generation. However, they often encounter challenges when dealing with complex and dense prompts involving multiple objects, attribute binding, long descriptions. In this paper, we propose a novel framework called LLM4GEN, which enhances the semantic understanding of diffusion by leveraging representation Large Language Models (LLMs). It can be seamlessly incorporated into various as plug-and-play component. A specially...
The rumen is a microbial-rich ecosystem in which fungi play an important role the feed digestion of ruminants. composition free-range ruminants such as gayals, yaks, Tibetan yellow cattle, and domesticated Yunnan cattle was investigated by sequencing internal transcribed spacer region 1 (ITS1) using Illumina MiSeq. A total 285 092 optimized sequences 904 operational taxonomic units (OTUs) were obtained from four breeds. abundance Chao Simpson indexes all higher than Three fungal phyla...