A5087269962- Aluminum Alloys Composites Properties
- Advanced ceramic materials synthesis
- Advanced Surface Polishing Techniques
- Advanced machining processes and optimization
- Diamond and Carbon-based Materials Research
- Computational Drug Discovery Methods
- Face and Expression Recognition
- Advanced Neural Network Applications
- Thermal Expansion and Ionic Conductivity
- Microstructure and mechanical properties
- Autonomous Vehicle Technology and Safety
- Metal and Thin Film Mechanics
- Domain Adaptation and Few-Shot Learning
- GABA and Rice Research
- MXene and MAX Phase Materials
- Robot Manipulation and Learning
- Simulation and Modeling Applications
- Face recognition and analysis
- Thermal properties of materials
- Machine Learning in Materials Science
- Generative Adversarial Networks and Image Synthesis
- Aluminum Alloy Microstructure Properties
- Biometric Identification and Security
- Laser-Matter Interactions and Applications
- Evolutionary Psychology and Human Behavior
Hebei University of Technology
2022-2025
Shanghai Jiao Tong University
2019-2024
Chinese Academy of Sciences
2011-2023
Institute of Microelectronics
2017-2023
Northeastern University
2019-2023
Moscow State University
2023
Harbin University of Science and Technology
2020-2023
Guangdong Pharmaceutical University
2021-2023
University of Science and Technology of China
2022
Beijing Forestry University
2021
We report on the laser pulse output of 339 J centered at 800 nm from a chirped-pulse amplification (CPA) Ti:sapphire system Shanghai Superintense Ultrafast Laser Facility. The experimental results demonstrated that parasitic lasing as well transverse amplified spontaneous emission homemade 235-mm-diameter final amplifier were suppressed successfully via temporal dual-pulse pumped scheme and index-matching liquid cladding technique. maximum pump-to-signal conversion efficiency 32.1% was...
We introduce Grounded SAM, which uses Grounding DINO as an open-set object detector to combine with the segment anything model (SAM). This integration enables detection and segmentation of any regions based on arbitrary text inputs opens a door connecting various vision models. As shown in Fig.1, wide range tasks can be achieved by using versatile SAM pipeline. For example, automatic annotation pipeline solely input images realized incorporating models such BLIP Recognize Anything....
To overcome the strength-ductility conflict in particle reinforced aluminum matrix composites (PRAMCs), a novel dual configuration strategy of microstructure was proposed this work. The including both heterogeneous grain structure and hybrid reinforcements obtained by powder metallurgy, which designed as submicron-sized SiC particles (SiCsm)/Al micron-sized (SiCm)/2024Al components. Representative alternating coarse (CG) bands containing SiCm ultra fine (UFG) with dispersed SiCsm were...
Diamond‐based subwavelength antireflective microstructures are corrosion resistant, impact and possess high transmittance, thereby presenting broad application prospects in special optical windows. Nevertheless, fabricating uniform highly transmissive on diamond surfaces poses a significant challenge. The hard brittle properties of result large number chips particles, adhering to the during processing, which subsequently impacts subsequent processing. Herein, laser cleaning‐assisted...
Protein-ligand binding affinity plays an important role in drug discovery, especially during virtual screening and hit-to-lead optimization. Computational chemistry machine learning methods have been developed to investigate these tasks. Despite the encouraging performance, optimization are often studied separately by existing methods, partially because they performed sequentially discovery pipeline, thereby overlooking their interdependency complementarity. To address this problem, we...
We present DreamWaltz, a novel framework for generating and animating complex 3D avatars given text guidance parametric human body prior. While recent methods have shown encouraging results text-to-3D generation of common objects, creating high-quality animatable remains challenging. To create avatars, DreamWaltz proposes 3D-consistent occlusion-aware Score Distillation Sampling (SDS) to optimize implicit neural representations with canonical poses. It provides view-aligned supervision via...
The DEtection TRansformer (DETR) algorithm has received considerable attention in the research community and is gradually emerging as a mainstream approach for object detection other perception tasks. However, current field lacks unified comprehensive benchmark specifically tailored DETR-based models. To address this issue, we develop unified, highly modular, lightweight codebase called detrex, which supports majority of instance recognition algorithms, covering various fundamental tasks,...
Abstract Background Semantic textual similarity (STS) is a fundamental natural language processing (NLP) task which can be widely used in many NLP applications such as Question Answer (QA), Information Retrieval (IR), etc. It typical regression problem, and almost all STS systems either use distributed representation or one-hot to model sentence pairs. Methods In this paper, we proposed novel framework based on gated network fuse of Some current state-of-the-art methods, including...
The rapid evolution of artificial intelligence in drug discovery encounters challenges with generalization and extensive training, yet Large Language Models (LLMs) offer promise reshaping interactions complex molecular data. Our novel contribution, InstructMol, a multi-modal LLM, effectively aligns structures natural language via an instruction-tuning approach, utilizing two-stage training strategy that adeptly combines limited domain-specific data textual information. InstructMol showcases...
Because of the lack discriminative face representations and scarcity labeled training data, facial beauty prediction (FBP), which aims at assessing attractiveness automatically, has become a challenging pattern recognition problem. Inspired by recent promising work on fine-grained image classification using multiscale architecture to extend diversity deep features, BeautyNet for unconstrained is proposed in this paper. Firstly, network adopted improve features. Secondly, alleviate...
Facial beauty plays an important role in many fields today, such as digital entertainment, facial beautification surgery and etc. However, the prediction task has challenges of insufficient training datasets, low performance traditional methods, rarely takes advantage feature learning Convolutional Neural Networks. In this paper, a transfer based CNN method that integrates multiple channel features is utilized for Asian female tasks. Firstly, Large-Scale Female Beauty Dataset (LSAFBD) with...