New limit power function spaces. - Chuanyi Zhang (IEEE Trans. Autom. Control., 2004)

Uniform limit power-type function spaces. - Chuanyi Zhang; Weiguo Liu (Int. J. Math. Math. Sci., 2006)

C*-algebra of strong limit power functions. - Chuanyi Zhang; Chenhui Meng (IEEE Trans. Autom. Control., 2006)

Remotely almost periodic solutions to systems of differential equations with piecewise constant argument. - Chuanyi Zhang; Lina Jiang (Appl. Math. Lett., 2008)

Two unsolved problems on almost periodic type functions. - Chuanyi Zhang; Junwei Liu (Appl. Math. Lett., 2010)

Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification. - Chuanyi Zhang; Yazhou Yao; Huafeng Liu 004; Guo-Sen Xie; Xiangbo Shu; Tianfei Zhou; Zheng Zhang 006; Fumin Shen; Zhenmin Tang (AAAI, 2020)

Web-Supervised Network for Fine-Grained Visual Classification. - Chuanyi Zhang; Yazhou Yao; Jiachao Zhang; Jiaxin Chen; Pu Huang; Jian Zhang 002; Zhenmin Tang (ICME, 2020)

Data-driven Meta-set Based Fine-Grained Visual Recognition. - Chuanyi Zhang; Yazhou Yao; Xiangbo Shu; Zechao Li; Zhenmin Tang; Qi Wu 001 (ACM Multimedia, 2020)

VEF: a variant filtering tool based on ensemble methods. - Chuanyi Zhang; Idoia Ochoa (Bioinform., 2020)

Data-driven Meta-set Based Fine-Grained Visual Classification. - Chuanyi Zhang; Yazhou Yao; Xiangbo Shu; Zechao Li; Zhenmin Tang; Qi Wu 001 (CoRR, 2020)

Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation. - Yazhou Yao; Tao Chen 012; Guo-Sen Xie; Chuanyi Zhang; Fumin Shen; Qi Wu 001; Zhenmin Tang; Jian Zhang 002 (CVPR, 2021)

Jo-SRC: A Contrastive Approach for Combating Noisy Labels. - Yazhou Yao; Zeren Sun; Chuanyi Zhang; Fumin Shen; Qi Wu 001; Jian Zhang 002; Zhenmin Tang (CVPR, 2021)

Extracting Useful Knowledge from Noisy Web Images via Data Purification for Fine-Grained Recognition. - Chuanyi Zhang; Yazhou Yao; Xing Xu 001; Jie Shao 001; Jingkuan Song; Zechao Li; Zhenmin Tang (ACM Multimedia, 2021)

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones. - Huafeng Liu 004; Chuanyi Zhang; Yazhou Yao; Xiu-Shen Wei; Fumin Shen; Jian Zhang 002; Zhenmin Tang (CoRR, 2021)

CORSID Enables de novo Identification of Transcription Regulatory Sequences and Genes in Coronaviruses. - Chuanyi Zhang; Palash Sashittal; Mohammed El-Kebir (RECOMB, 2022)

Dual collaborative representation based discriminant projection for face recognition. - Pu Huang; Yangyang Shen; Zhangjing Yang; Chuanyi Zhang; Guowei Yang 002 (Comput. Electr. Eng., 2022)

On the Study of Sample Complexity for Polynomial Neural Networks. - Chao Pan; Chuanyi Zhang (CoRR, 2022)

An Uncertainly Dynamic Loss Correction and Global Sample Selection Method for Webly Supervised Fine-Grained Visual Classification. - Jian Guo; Mengying Ding; Qiong Wang 003; Chuanyi Zhang; Yazhou Yao (Circuits Syst. Signal Process., 2022)

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples. - Huafeng Liu 004; Chuanyi Zhang; Yazhou Yao; Xiu-Shen Wei; Fumin Shen; Zhenmin Tang; Jian Zhang 002 (IEEE Trans. Multim., 2022)

Robust Learning From Noisy Web Images Via Data Purification for Fine-Grained Recognition. - Chuanyi Zhang; Qiong Wang 003; Guo-Sen Xie; Qi Wu 001; Fumin Shen; Zhenmin Tang (IEEE Trans. Multim., 2022)

Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction. - Jiaqi Li; Chuanyi Zhang; Miaozeng Du; Dehai Min; Yongrui Chen 002; Guilin Qi (EMNLP, 2023)

Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive Learning. - Jiaqi Li; Guilin Qi; Chuanyi Zhang; Yongrui Chen 002; Yiming Tan; Chenlong Xia; Ye Tian (ACM Multimedia, 2023)

Guided by Meta-Set: A Data-Driven Method for Fine-Grained Visual Recognition. - Chuanyi Zhang; Guosheng Lin; Qiong Wang 003; Fumin Shen; Yazhou Yao; Zhenmin Tang (IEEE Trans. Multim., 2023)

Phertilizer: Growing a clonal tree from ultra-low coverage single-cell DNA sequencing of tumors. - Leah L. Weber; Chuanyi Zhang; Idoia Ochoa; Mohammed El-Kebir (PLoS Comput. Biol., 2023)

MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing. - Jiaqi Li; Miaozeng Du; Chuanyi Zhang; Yongrui Chen 002; Nan Hu; Guilin Qi; Haiyun Jiang; Siyuan Cheng 008; Bozhong Tian (ACL (Findings), 2024)

Progressively Robust Loss for Deep Learning with Noisy Labels. - Zhenhuang Cai; Shuai Yan; Yuanbo Chen; Chuanyi Zhang; Zeren Sun; Yazhou Yao (IJCNN, 2024)

Feature-weighted Multi-stage Bayesian Prototype for Few-shot Classification. - Xiaocong Zhou; Fan Liu 003; Chuanyi Zhang; Feifan Li; Wenwen Cai; Jun Zhou 001 (MMAsia, 2024)

Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models. - Jiaqi Li; Qianshan Wei; Chuanyi Zhang; Guilin Qi; Miaozeng Du; Yongrui Chen 002; Sheng Bi; Fan Liu (NeurIPS, 2024)

Group benefits instance for data purification. - Zhenhuang Cai; Chuanyi Zhang; Dan Huang; Yuanbo Chen; Xiuyun Guan; Yazhou Yao (Comput. Electr. Eng., 2024)

Group Benefits Instances Selection for Data Purification. - Zhenhuang Cai; Chuanyi Zhang; Dan Huang; Yuanbo Chen; Xiuyun Guan; Yazhou Yao (CoRR, 2024)

Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models. - Jiaqi Li; Qianshan Wei; Chuanyi Zhang; Guilin Qi; Miaozeng Du; Yongrui Chen 002; Sheng Bi (CoRR, 2024)

Scale-Invariant Feature Disentanglement via Adversarial Learning for UAV-based Object Detection. - Fan Liu 003; Liang Yao; Chuanyi Zhang; Ting Wu; Xinlei Zhang; Xiruo Jiang; Jun Zhou 011 (CoRR, 2024)

UEMM-Air: A Synthetic Multi-modal Dataset for Unmanned Aerial Vehicle Object Detection. - Fan Liu; Liang Yao; Shengxiang Xu; Chuanyi Zhang; Xinlei Zhang; Ting Wu (CoRR, 2024)

Making Large Vision Language Models to be Good Few-shot Learners. - Fan Liu 003; Wenwen Cai; Jian Huo; Chuanyi Zhang; Delong Chen; Jun Zhou 011 (CoRR, 2024)

Domain-invariant Progressive Knowledge Distillation for UAV-based Object Detection. - Liang Yao; Fan Liu; Chuanyi Zhang; Zhiquan Ou; Ting Wu (CoRR, 2024)

Robust Noisy Correspondence Learning via Self-Drop and Dual-Weight. - Fan Liu; Chenwei Dong; Chuanyi Zhang; Hualiang Zhou; Jun Zhou (CoRR, 2024)

RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image Classification. - Guangwenjie Zou; Liang Yao; Fan Liu 003; Chuanyi Zhang; Xin Li 090; Ning Chen; Shengxiang Xu; Jun Zhou 011 (CoRR, 2024)

Study on artificial intelligence recognition pre-processing algorithm for cervical cancer. - Bo Feng; Chao Xu; Zhengping Li; Jusheng Li; Chuanyi Zhang (EAI Endorsed Trans. Pervasive Health Technol., 2024)

Few-shot adaptation of multi-modal foundation models: a survey. - Fan Liu 003; Tianshu Zhang; Wenwen Dai; Chuanyi Zhang; Wenwen Cai; Xiaocong Zhou; Delong Chen (Artif. Intell. Rev., 2024)

Making Large Vision Language Models to Be Good Few-Shot Learners. - Fan Liu; Wenwen Cai; Jian Huo; Chuanyi Zhang; Delong Chen; Jun Zhou (AAAI, 2025)

Open-World Attribute Mining for E-Commerce Products with Multimodal Self-Correction Instruction Tuning. - Jiaqi Li; Yanming Li; Xiaoli Shen; Chuanyi Zhang; Guilin Qi; Sheng Bi (ACL (1), 2025)

Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models. - Jiaqi Li; Chuanyi Zhang; Miaozeng Du; Hui Zhang; Yongrui Chen 002; Qianshan Wei; Junfeng Fang; Ruipeng Wang; Sheng Bi; Guilin Qi (ACL (Findings), 2025)

Prompting DirectSAM for Semantic Contour Extraction in Remote Sensing Images. - Shiyu Miao; Delong Chen; Fan Liu 003; Chuanyi Zhang; Yanhui Gu; Shengjie Guo; Jun Zhou 011 (ICASSP, 2025)

RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image Classification. - Guangwenjie Zou; Liang Yao; Fan Liu; Chuanyi Zhang; Xin Li; Ning Chen; Shengxiang Xu; Jun Zhou (ICASSP, 2025)

Domain-Invariant Progressive Knowledge Distillation for UAV-Based Object Detection. - Liang Yao; Fan Liu 003; Chuanyi Zhang; Zhiquan Ou; Ting Wu (IEEE Geosci. Remote. Sens. Lett., 2025)

Boost UAV-Based Object Detection via Scale-Invariant Feature Disentanglement and Adversarial Learning. - Fan Liu 003; Liang Yao; Chuanyi Zhang; Ting Wu; Xinlei Zhang; Xiruo Jiang; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

RemoteSAM: Towards Segment Anything for Earth Observation. - Liang Yao; Fan Liu; Delong Chen; Chuanyi Zhang; Yijun Wang; Ziyun Chen; Wei Xu; Shimin Di; Yuhui Zheng (CoRR, 2025)

Chain-of-Talkers (CoTalk): Fast Human Annotation of Dense Image Captions. - Yijun Shen; Delong Chen; Fan Liu; Xingyu Wang; Chuanyi Zhang; Liang Yao; Yuhui Zheng (CoRR, 2025)

RemoteReasoner: Towards Unifying Geospatial Reasoning Workflow. - Liang Yao; Fan Liu; Hongbo Lu; Chuanyi Zhang; Rui Min; Shengxiang Xu; Shimin Di; Pai Peng (CoRR, 2025)

Combating Noisy Labels via Dynamic Connection Masking. - Xinlei Zhang; Fan Liu; Chuanyi Zhang; Fan Cheng; Yuhui Zheng (CoRR, 2025)

Multi-stage Bayesian Prototype Refinement with feature weighting for few-shot classification. - Wei Xu; Xiaocong Zhou; Shengxiang Xu; Fan Liu 003; Chuanyi Zhang; Feifan Li; Wenwen Cai; Jun Zhou 011 (Pattern Anal. Appl., 2025)