韩凯｜中国药科大学｜学者主页

2026

植物乳杆菌cqf-43胞外多糖对鼠伤寒沙门氏菌感染小鼠肠道损伤的预防作用

韩凯，母新杨，钟晓霞，刘志云，黄金秀，周晓容，官小凤

《动物营养学报》

2026

铁死亡介导的环磷酰胺诱导男性生殖损伤及中药干预机制研究进展

穆海龙，韩凯，刘韦，韩聪

《中华男科学杂志》

2026

Oral nano-delivery of a gut microbial metabolite enhances T cell stemness for cancer immunotherapy

Kai Han, Young Seok Cho, Mariko Takahashi, Xingwu Zhou, Hannah E. Dobson, Kim M. Hutchings, Yuesong Wu, Youngseo Na, Fang Xie, Julia Crowther, Jinmei Wu, Jin Xu, Chuan Lee, Himani Jasewicz, Yujin Kim, Minal Nenwani, Olamide H. Animasahun, Fulei Wuchu, Anthony C. Andren, Harrison K. A. Wong, Emma Camp, Ziye Wan, Qi Wu, Li Zhang, Cheng Xu, Katherine Dong, Yao Xu, Anna A. Schwendeman, Grace Chen, Yuying Xie, Costas Andreas Lyssiotis, Martin C. Clasby, Deepak Nagrath, Yu L. Lei, James Jaehyun Moon

Nature Nanotechnology

精选作品

期刊论文

植物乳杆菌cqf-43胞外多糖对鼠伤寒沙门氏菌感染小鼠肠道损伤的预防作用

铁死亡介导的环磷酰胺诱导男性生殖损伤及中药干预机制研究进展

Oral nano-delivery of a gut microbial metabolite enhances T cell stemness for cancer immunotherapy

Zwitterionic Lipid Nanotherapeutics from Mulberry for Oral Treatment of Diabetic Colitis

Engineered strategies for the allergic disease therapy

Toward Effective Knowledge Distillation: Navigating Beyond Small-Data Pitfall

Hyperbolic Category Discovery

ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models

ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval

Mr. DETR: Instructive Multi-Route Training for Detection Transformers

Parallel Sequence Modeling via Generalized Spatial Propagation Network

DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery

v-CLR: View-Consistent Learning for Open-World Instance Segmentation

ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models

VipDiff: Towards Coherent and Diverse Video Inpainting via Training-Free Denoising Diffusion Models

Inulin-gel-based oral immunotherapy remodels the small intestinal microbiome and suppresses food allergy

Engineering Strategies to Modulate the Gut Microbiome and Immune System

RegionDrag: Fast Region-Based Image Editing with Diffusion Models

Antibiotic nanoparticles boost antitumor immunity

GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks?

Category Feature Transformer for Semantic Segmentation

Masked Image Modeling with Local Multi-Scale Reconstruction

ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks

LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models

One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation

Network Expansion For Practical Training Acceleration

VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism

Network Amplification with Efficient MACs Allocation

Vision GNN: An Image is Worth Graph of Nodes

FastMIM: Expediting Masked Image Modeling Pre-training for Vision

GhostNetV2: Enhance Cheap Operation with Long-Range Attention

Instance-Aware Dynamic Neural Network Quantization

A Transformer-Based Object Detector with Coarse-Fine Crossing Representations

PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture

GhostNets on Heterogeneous Devices via Cheap Operations

Local Means Binary Networks for Image Super-Resolution

Redistribution of Weights and Activations for AdderNet Quantization

An Image Patch is a Wave: Phase-Aware Vision MLP

Multi-bit Adaptive Distillation for Binary Neural Networks

Transformer in Transformer

Distilling Object Detectors via Decoupled Features

Learning Versatile Convolution Filters for Efficient Visual Recognition

AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence

Hire-MLP: Vision MLP via Hierarchical Rearrangement

Learning Frequency Domain Approximation for Binary Neural Networks

Positive-Unlabeled Data Purification in the Wild for Object Detection

CMT: Convolutional Neural Networks Meet Vision Transformers

Dynamic Resolution Network

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution

Visual Transformer Pruning

Patch Slimming for Efficient Vision Transformers

Augmented Shortcuts for Vision Transformers

Post-Training Quantization for Vision Transformer

Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation

Greedy Network Enlarging

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

Widening and Squeezing: Towards Accurate and Efficient QNNs

Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets

Learning Binary Neurons with Noisy Supervision

Dynamic feature pyramid networks for object detection

Training Binary Neural Networks through Learning with Noisy Supervision

Searching for Low-Bit Weights in Quantized Neural Networks

A Survey on Vision Transformer

Balanced Binary Neural Networks with Gated Residual

Positive-Unlabeled Compression on the Cloud

Learning Instance-wise Sparsity for Accelerating Deep Models

Co-Evolutionary Compression for Unpaired Image Translation

Searching for Accurate Binary Neural Architectures

Attribute Aware Pooling for Pedestrian Attribute Recognition

Full-Stack Filters to Build Minimum Viable CNNs

GhostNet: More Features From Cheap Operations

RNAS: Architecture Ranking for Powerful Networks

Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification

ReNAS: Relativistic Evaluation of Neural Architecture Search

Low-resolution Visual Recognition via Deep Feature Distillation

Attribute-Aware Attention Model for Fine-grained Representation Learning

Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN