A5015118469- Atmospheric Ozone and Climate
- Advanced Chemical Physics Studies
- Software Testing and Debugging Techniques
- Software Engineering Research
- Spectroscopy and Laser Applications
- Multimodal Machine Learning Applications
- Software Reliability and Analysis Research
- Atmospheric chemistry and aerosols
- AI in cancer detection
- Domain Adaptation and Few-Shot Learning
- Retinal Imaging and Analysis
- Atomic and Molecular Physics
- Molecular Spectroscopy and Structure
- Asymmetric Hydrogenation and Catalysis
- Acoustic Wave Resonator Technologies
- Advancements in Battery Materials
- Catalytic Processes in Materials Science
- Advanced Image and Video Retrieval Techniques
- Medical Imaging and Analysis
- Spectroscopy and Quantum Chemical Studies
- Various Chemistry Research Topics
- Mechanical and Optical Resonators
- Mass Spectrometry Techniques and Applications
- Advanced Neural Network Applications
- Atomic and Subatomic Physics Research
Cornell University
2024
Shanghai Jiao Tong University
2015-2024
Peking University
2015-2024
Tianjin University
2020-2023
Xi’an Jiaotong-Liverpool University
2023
Nanjing University of Chinese Medicine
2023
University of California, Davis
1995-2022
Collaborative Innovation Center of Chemical Science and Engineering Tianjin
2020
Beijing National Laboratory for Molecular Sciences
2015
Chinese Academy of Sciences
2006-2014
Abstract The emergence of all‐organic frameworks is fundamental significance, and designing such structures for anion conduction holds great promise in energy conversion storage applications. Herein, inspired by the efficient transport within organisms, a de novo design covalent organic (COFs) toward ultrafast demonstrated. A phase‐transfer polymerization process developed to acquire dense ordered alignment quaternary ammonium‐functionalized side chains along channels frameworks. resultant...
We report center-of-mass kinetic energy distributions for the 193 nm photodissociation of H2S and HBr using method velocity–aligned Doppler spectroscopy. Nascent H atoms are detected by sequential two-photon photoionization via Lyman-α (121.6 + 364.7 nm), internal SH(X 2Π) Br excitations observed directly in H-atom distributions. The resolution is much better than ‘‘conventional’’ sub-Doppler spectroscopy results from detecting spatially selected species whose velocities aligned with wave...
Single-crystalline Ni-rich layered oxides are one of the most promising cathode materials for lithium-ion batteries due to their superior structural stability. However, sluggish diffusion kinetics and interfacial issues hinder practical applications. These intensify with increasing Ni content in ultrahigh-Ni regime (≥90%), significantly threatening viability single-crystalline strategy oxide cathodes. Herein, by developing a high-entropy coating strategy, we successfully constructed an...
Ophthalmologists typically require multimodal data sources to improve diagnostic accuracy in clinical decisions. However, due medical device shortages, low-quality and privacy concerns, missing modalities are common real-world scenarios. Existing deep learning methods tend address it by an implicit latent subspace representation for different modality combinations. We identify two significant limitations of these methods: (1) constraints that hinder the model's ability capture...
Recent multimodal large language models (MLLMs) have demonstrated significant potential in open-ended conversation, generating more accurate and personalized responses. However, their abilities to memorize, recall, reason sustained interactions within real-world scenarios remain underexplored. This paper introduces MMRC, a Multi-Modal Real-world Conversation benchmark for evaluating six core of MLLMs: information extraction, multi-turn reasoning, update, image management, memory answer...
The application of Contrastive Language-Image Pre-training (CLIP) in Weakly Supervised Semantic Segmentation (WSSS) research demonstrates powerful cross-modal semantic understanding capabilities. Existing methods attempt to optimize input text prompts for improved alignment images and text, specifically by finely adjusting prototypes facilitate matching. Nevertheless, given the modality gap between vision spaces, employed these have not effectively established a close correspondence with...
In medical image analysis, multi-organ semi-supervised segmentation faces challenges such as insufficient labels and low contrast in soft tissues. To address these issues, existing studies typically employ techniques using pseudo-labeling consistency regularization. However, methods mainly rely on individual data samples for training, ignoring the rich neighborhood information present feature space. this work, we argue that supervisory can be directly extracted from geometry of Inspired by...
Ophthalmologists typically require multimodal data sources to improve diagnostic accuracy in clinical decisions. However, due medical device shortages, low-quality and privacy concerns, missing modalities are common real-world scenarios. Existing deep learning methods tend address it by an implicit latent subspace representation for different modality combinations. We identify two significant limitations of these methods: (1) constraints that hinder the model's ability capture...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDetermining reaction pathways and spin-orbit populations in the photodissociation of hydrogen bromide iodide using velocity-aligned Doppler spectroscopyZ. Xu, B. Koplitz, C. WittigCite this: J. Phys. Chem. 1988, 92, 19, 5518–5523Publication Date (Print):September 1, 1988Publication History Published online1 May 2002Published inissue 1 September 1988https://pubs.acs.org/doi/10.1021/j100330a037https://doi.org/10.1021/j100330a037research-articleACS...
The technique of velocity-aligned Doppler spectrosocopy (VADS) is presented and discussed. For photolysis/probe experiments with pulsed initiation, VADS can yield profiles for nascent photofragments that allow detailed center-of-mass (c.m.) kinetic energy distributions to be extracted. When compared traditional forms spectroscopy, the improvement in resolution dramatic. Changes measured are a consequence spatial discrimination (i.e., focused overlapping photolysis probe beams) delayed...
In this study, we developed a highly sensitive automatic counting method for gold nanomaterials at the single particle level, which can serve as general sensing platform based on of nanomaterials. This substantially improved sensitivity and accuracy AuNP by adopting color image processing distinctive localized plasmonic light-scattering The 60-nm AuNPs, with concentrations down to 4 fM, be detected our method. As universal approach nanomaterials, such nanospheres, nanorods, aggregates from...
5-Methyluridine (m 5 U) is one of the most common post-transcriptional RNA modifications, which involved in a variety important biological processes and disease development. The precise identification m U sites allows for better understanding contributes to discovery new functional therapeutic targets. Here, we present m5U-GEPred, prediction framework, combine sequence characteristics graph embedding-based information identification. embedding approach was introduced extract global training...
Photoexcitation is used to prepare species whose subsequent fragmentation can be exploited for the purposes of studying, controlling and manipulating different kinds molecular processes. First, we show how a form sub-Doppler resolution spectroscopy determine centre-of-mass kinetic energy distributions, thereby enabling internal distributions obtained elementary processes which occur at fixed total energy. We present data H atoms monitored Lyman-α wavelength. Secondly, such study binary...
This paper describes a prototype tool, called SimC, which automatically generates test data for unit testing of C programs. The tool symbolically simulates the execution given program. It pointer operations precisely. makes it capable generating programs involving and structure operations. Experiments on real-world including GNU coreutils are presented. Some trade-offs simulation schemes also discussed
Surgical practice involves complex visual interpretation, procedural skills, and advanced medical knowledge, making surgical vision-language pretraining (VLP) particularly challenging due to this complexity the limited availability of annotated data. To address gap, we propose OphCLIP, a hierarchical retrieval-augmented framework specifically designed for ophthalmic workflow understanding. OphCLIP leverages OphVL dataset constructed, large-scale comprehensive collection over 375K...