News Recommendation Model Based on Improved Label Propagation Algorithm. - Zelin Peng; Ronghua Lin; Yi He; Liu Wang; Hanlu Chu; Chengzhou Fu; Yong Tang 001 (HCC, 2019)

A Learnable Blur Kernel for Remote Sensing Image Retrieval. - Zelin Peng; Guanchun Wang; Xiangrong Zhang; Xu Tang; Li Gao; Licheng Jiao (IGARSS, 2020)

Time-aware Neural Collaborative Filtering with Multi-dimensional Features on Academic Paper Recommendation. - Yibo Lu; Yi He; Yixiang Cai; Zelin Peng; Yong Tang 001 (CSCWD, 2021)

Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation. - Xiangrong Zhang; Zelin Peng; Peng Zhu; Tianyang Zhang 002; Chen Li 011; Huiyu Zhou 001; Licheng Jiao (ACM Multimedia, 2021)

Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information. - Guanchun Wang; Xiangrong Zhang; Zelin Peng; Xu Tang; Huiyu Zhou 001; Licheng Jiao (IJCAI, 2022)

Re-Unet: Multi-Modality Cell Segmentation based on nnU-Net Pipeline. - Haotian Lu 001; Jinghao Feng 001; Zelin Peng; Wei Shen 002 (Cell Segmentation Challenge @ NeurIPS, 2022)

A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction. - Wei Shen 002; Zelin Peng; Xuehui Wang; Huayu Wang; Jiazhong Cen; Dongsheng Jiang; Lingxi Xie; Xiaokang Yang 001; Qi Tian 001 (CoRR, 2022)

USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation. - Zelin Peng; Guanchun Wang; Lingxi Xie; Dongsheng Jiang; Wei Shen 002; Qi Tian 001 (ICCV, 2023)

A Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction. - Wei Shen 002; Zelin Peng; Xuehui Wang; Huayu Wang; Jiazhong Cen; Dongsheng Jiang; Lingxi Xie; Xiaokang Yang 001; Qi Tian 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction. - Zelin Peng; Zhengqin Xu; Zhilin Zeng; Xiaokang Yang 001; Wei Shen 002 (AAAI, 2024)

LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation. - Zhengqin Xu; Yulun Zhang 001; Chao Ma 004; Yichao Yan; Zelin Peng; Shoulie Xie; Shiqian Wu; Xiaokang Yang 001 (AAAI, 2024)

DeCo-Net: Robust Multimodal Brain Tumor Segmentation via Decoupled Complementary Knowledge Distillation. - Zhilin Zeng; Zelin Peng; Xiaokang Yang 001; Wei Shen 002 (BIBM, 2024)

Parameter Efficient Fine-Tuning via Cross Block Orchestration for Segment Anything Model. - Zelin Peng; Zhengqin Xu; Zhilin Zeng; Lingxi Xie; Qi Tian 001; Wei Shen 002 (CVPR, 2024)

Missing as Masking: Arbitrary Cross-Modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation. - Zhilin Zeng; Zelin Peng; Xiaokang Yang 001; Wei Shen 002 (MICCAI (8), 2024)

S2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification. - Guanchun Wang; Xiangrong Zhang; Zelin Peng; Tianyang Zhang 002; Xiuping Jia; Licheng Jiao (CoRR, 2024)

Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation. - Zelin Peng; Zhengqin Xu; Zhilin Zeng; Yaoming Wang; Lingxi Xie; Qi Tian 001; Wei Shen 002 (CoRR, 2024)

OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining. - Ming Hu; Kun Yuan 004; Yaling Shen; Feilong Tang; Xiaohao Xu; Lin Zhou; Wei Li 044; Ying Chen; Zhongxing Xu; Zelin Peng; Siyuan Yan; Vinkle Srivastav; et al. (CoRR, 2024)

FATE: Feature-Adapted Parameter Tuning for Vision-Language Models. - Zhengqin Xu; Zelin Peng; Xiaokang Yang 001; Wei Shen 002 (AAAI, 2025)

Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation. - Yuheng Feng; Changsong Wen; Zelin Peng; Li jiaye; Siyu Zhu (CVPR, 2025)

Star with Bilinear Mapping. - Zelin Peng; Yu Huang; Zhengqin Xu; Feilong Tang; Ming Hu; Xiaokang Yang 001; Wei Shen 002 (CVPR, 2025)

Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation. - Zelin Peng; Zhengqin Xu; Zhilin Zeng; Yu Huang; Yaoming Wang; Wei Shen 002 (CVPR, 2025)

Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space. - Zelin Peng; Zhengqin Xu; Zhilin Zeng; Changsong Wen; Yu Huang; Menglin Yang 001; Feilong Tang; Wei Shen 002 (CVPR, 2025)

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. - Feilong Tang; Chengzhi Liu; Zhongxing Xu; Ming Hu; Zile Huang; Haochen Xue; Ziyang Chen 003; Zelin Peng; Zhiwei Yang; Sijin Zhou; Wenxue Li; Yulong Li; et al. (CVPR, 2025)

Domain Generalization in CLIP via Learning with Diverse Text Prompts. - Changsong Wen; Zelin Peng; Yu Huang; Xiaokang Yang 001; Wei Shen 002 (CVPR, 2025)

S2Mamba: A Spatial-Spectral State Space Model for Hyperspectral Image Classification. - Guanchun Wang; Xiangrong Zhang; Zelin Peng; Tianyang Zhang 002; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2025)

ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos. - Haolin Yang; Feilong Tang; Ming Hu; Yulong Li; Yexin Liu; Zelin Peng; Junjun He; Zongyuan Ge; Imran Razzak (CoRR, 2025)

PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation. - Yiheng Zhong; Zihong Luo; Chengzhi Liu; Feilong Tang; Zelin Peng; Ming Hu; Yingzhen Hu; Jionglong Su; Zongyuan Ge; Imran Razzak (CoRR, 2025)

ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model. - Guanchun Wang; Xiangrong Zhang; Yifei Zhang; Zelin Peng; Tianyang Zhang 002; Xu Tang; Licheng Jiao (CoRR, 2025)

Negative Deterministic Information-Based Multiple Instance Learning for Weakly Supervised Object Detection and Segmentation. - Guanchun Wang; Xiangrong Zhang; Zelin Peng; Tianyang Zhang 002; Xu Tang; Huiyu Zhou 001; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. - Feilong Tang; Chengzhi Liu; Zhongxing Xu; Ming Hu; Zelin Peng; Zhiwei Yang; Jionglong Su; Minquan Lin; Yifan Peng 002; Xuelian Cheng; Imran Razzak; Zongyuan Ge (CoRR, 2025)

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models. - Yu Huang; Zelin Peng; Yichen Zhao; Piao Yang; Xiaokang Yang 001; Wei Shen 002 (CoRR, 2025)

OraL: An Observational Learning Paradigm for Unsupervised Hyperspectral Change Detection. - Guanchun Wang; Xiangrong Zhang; Zelin Peng; Shunli Tian; Tianyang Zhang 002; Xu Tang; Licheng Jiao (IEEE Trans. Circuits Syst. Video Technol., 2025)

NEARL-CLIP: Interacted Query Adaptation with Orthogonal Regularization for Medical Vision-Language Understanding. - Zelin Peng; Yichen Zhao; Yu Huang; Piao Yang; Feilong Tang; Zhengqin Xu; Xiaokang Yang 001; Wei Shen 002 (CoRR, 2025)

AnimateScene: Camera-controllable Animation in Any Scene. - Qingyang Liu; Bingjie Gao; Weiheng Huang; Jun Zhang; Zhongqian Sun; Yang Wei; Zelin Peng; Qianli Ma; Shuai Yang; Zhaohe Liao; Haonan Zhao; Li Niu (CoRR, 2025)