Adaptive Generation Model: A New Ensemble Method. - Jiacheng Ruan; Jiahao Li (CoRR, 2020)

MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation. - Jiacheng Ruan; Suncheng Xiang; Mingye Xie; Ting Liu 016; Yuzhuo Fu (BIBM, 2022)

MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation. - Jiacheng Ruan; Mingye Xie; Suncheng Xiang; Ting Liu 016; Yuzhuo Fu (CoRR, 2022)

EGE-UNet: An Efficient Group Enhanced UNet for Skin Lesion Segmentation. - Jiacheng Ruan; Mingye Xie; Jingsheng Gao; Ting Liu 016; Yuzhuo Fu (MICCAI (4), 2023)

Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification. - Suncheng Xiang; Jingsheng Gao; Mengyuan Guan; Jiacheng Ruan; Chengfeng Zhou; Ting Liu 016; Dahong Qian; Yuzhuo Fu (CoRR, 2023)

GIST: Improving Parameter Efficient Fine Tuning via Knowledge Interaction. - Jiacheng Ruan; Jingsheng Gao; Mingye Xie; Suncheng Xiang; Zefang Yu; Ting Liu 016; Yuzhuo Fu (CoRR, 2023)

LAMM: Label Alignment for Multi-Modal Prompt Learning. - Jingsheng Gao; Jiacheng Ruan; Suncheng Xiang; Zefang Yu; Ke Ji; Mingye Xie; Ting Liu 016; Yuzhuo Fu (AAAI, 2024)

LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training. - Tong Zhu 002; Xiaoye Qu; Daize Dong; Jiacheng Ruan; Jingqi Tong; Conghui He; Yu Cheng 001 (EMNLP, 2024)

VT-ReID: Learning Discriminative Visual-Text Representation for Polyp Re-Identification. - Suncheng Xiang; Cang Liu; Jiacheng Ruan; Shilun Cai; Sijia Du; Dahong Qian (ICASSP, 2024)

Oceanship: A Large-Scale Dataset for Underwater Audio Target Recognition. - Zeyu Li; Suncheng Xiang; Tong Yu; Jingsheng Gao; Jiacheng Ruan; Yanping Hu; Ting Liu 016; Yuzhuo Fu (ICIC (4), 2024)

iDAT: inverse Distillation Adapter-Tuning. - Jiacheng Ruan; Jingsheng Gao; Mingye Xie; Daize Dong; Suncheng Xiang; Ting Liu 016; Yuzhuo Fu (ICME, 2024)

GIST: Improving Parameter Efficient Fine-Tuning via Knowledge Interaction. - Jiacheng Ruan; Jingsheng Gao; Mingye Xie; Suncheng Xiang; Zefang Yu; Ting Liu 016; Yuzhuo Fu; Xiaoye Qu (ACM Multimedia, 2024)

CLAPP: Contrastive Language-Audio Pre-training in Passive Underwater Vessel Classification. - Zeyu Li; Jingsheng Gao; Tong Yu; Suncheng Xiang; Jiacheng Ruan; Ting Liu 016; Yuzhuo Fu (CoRR, 2024)

VM-UNet: Vision Mamba UNet for Medical Image Segmentation. - Jiacheng Ruan; Suncheng Xiang (CoRR, 2024)

Understanding Robustness of Parameter-Efficient Tuning for Image Classification. - Jiacheng Ruan; Xian Gao; Suncheng Xiang; Mingye Xie; Ting Liu 016; Yuzhuo Fu (CoRR, 2024)

FTII-Bench: A Comprehensive Multimodal Benchmark for Flow Text with Image Insertion. - Jiacheng Ruan; Yebin Yang; Zehao Lin; Feiyu Xiong; Zeyun Tang; Zhiyu Li (CoRR, 2024)

Optical Spectral Modulation of CdSe/ZnS Quantum Dot-Based UAV Identification. - Hua Xiao; Tama Fouzder; Jiacheng Ruan; Caiming Sun; Wensong Wang (IEEE Trans. Instrum. Meas., 2024)

MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios. - Jiacheng Ruan; Wenzhen Yuan 002; Zehao Lin; Ning Liao; Zhiyu Li; Feiyu Xiong; Ting Liu 016; Yuzhuo Fu (AAAI, 2025)

TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning. - Jiacheng Ruan; Mingye Xie; Jingsheng Gao; Xian Gao; Suncheng Xiang; Ting Liu; Yuzhuo Fu (AAAI, 2025)

GPA: Enhancing Generalizable Physical Adversarial Attacks Across Multiple Vision Tasks. - Mingye Xie; Suncheng Xiang; Jiacheng Ruan; Xian Gao; Zefang Yu; Ting Liu; Yuzhuo Fu (ICASSP, 2025)

Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts. - Tong Zhu 002; Daize Dong; Xiaoye Qu; Jiacheng Ruan; Wenliang Chen; Yu Cheng 001 (NAACL (Long Papers), 2025)

Learning multi-axis representation in frequency domain for medical image segmentation. - Jiacheng Ruan; Jingsheng Gao; Mingye Xie; Suncheng Xiang (Mach. Learn., 2025)

From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classes. - Xian Gao; Jiacheng Ruan; Jingsheng Gao; Mingye Xie; Zongyun Zhang; Ting Liu 016; Yuzhuo Fu (CoRR, 2025)

VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models. - Jiacheng Ruan; Wenzhen Yuan 002; Xian Gao; Ye Guo; Daoxin Zhang; Zhe Xu; Yao Hu; Ting Liu 016; Yuzhuo Fu (CoRR, 2025)

ReviewAgents: Bridging the Gap Between Human and AI-Generated Paper Reviews. - Xian Gao; Jiacheng Ruan; Jingsheng Gao; Ting Liu 016; Yuzhuo Fu (CoRR, 2025)

EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models. - Zongyun Zhang; Jiacheng Ruan; Xian Gao; Ting Liu 016; Yuzhuo Fu (CoRR, 2025)