Multi-objective Pruning for CNNs Using Genetic Algorithm. - Chuanguang Yang; Zhulin An; Chao Li 028; Boyu Diao; Yongjun Xu 001 (ICANN (2), 2019)

EENA: Efficient Evolution of Neural Architecture. - Hui Zhu 002; Zhulin An; Chuanguang Yang; Kaiqiang Xu; Erhu Zhao; Yongjun Xu 001 (ICCV Workshops, 2019)

EENA: Efficient Evolution of Neural Architecture. - Hui Zhu 002; Zhulin An; Chuanguang Yang; Kaiqiang Xu; Yongjun Xu 001 (CoRR, 2019)

Gated Convolutional Networks with Hybrid Connectivity for Image Classification. - Chuanguang Yang; Zhulin An; Hui Zhu 002; Xiaolong Hu; Kaiqiang Xu; Chao Li 028; Boyu Diao; Yongjun Xu 001 (CoRR, 2019)

Rethinking the Number of Channels for the Convolutional Neural Network. - Hui Zhu 002; Zhulin An; Chuanguang Yang; Xiaolong Hu; Kaiqiang Xu; Yongjun Xu 001 (CoRR, 2019)

DNANet: De-Normalized Attention Based Multi-Resolution Network for Human Pose Estimation. - Kun Zhang 045; Peng He; Ping Yao; Ge Chen; Chuanguang Yang; Huimin Li; Li Fu; Tianyao Zheng (CoRR, 2019)

Gated Convolutional Networks with Hybrid Connectivity for Image Classification. - Chuanguang Yang; Zhulin An; Hui Zhu 002; Xiaolong Hu; Kun Zhang 045; Kaiqiang Xu; Chao Li 028; Yongjun Xu 001 (AAAI, 2020)

DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners. - Xiaolong Hu; Zhulin An; Chuanguang Yang; Hui Zhu 002; Kaiqiang Xu; Yongjun Xu 001 (ECAI, 2020)

Softer Pruning, Incremental Regularization. - Linhang Cai; Zhulin An; Chuanguang Yang; Yongjun Xu 001 (ICPR, 2020)

Efficient Search for the Number of Channels for Convolutional Neural Networks. - Hui Zhu 002; Zhulin An; Chuanguang Yang; Xiaolong Hu; Kaiqiang Xu; Yongjun Xu 001 (IJCNN, 2020)

Localizing Multi-scale Semantic Patches for Image Classification. - Chuanguang Yang; Xiaolong Hu; Zhulin An; Hui Zhu 002; Yongjun Xu 001 (CoRR, 2020)

Multi-view Contrastive Learning for Online Knowledge Distillation. - Chuanguang Yang; Zhulin An; Xiaolong Hu; Hui Zhu 002; Kaiqiang Xu; Yongjun Xu 001 (CoRR, 2020)

Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation. - Kun Zhang 045; Rui Wu; Ping Yao; Kai Deng; Ding Li 006; Renbiao Liu; Chuanguang Yang; Ge Chen; Min Du; Tianyao Zheng (CoRR, 2020)

Multi-View Contrastive Learning for Online Knowledge Distillation. - Chuanguang Yang; Zhulin An; Yongjun Xu 001 (ICASSP, 2021)

Hierarchical Self-supervised Augmented Knowledge Distillation. - Chuanguang Yang; Zhulin An; Linhang Cai; Yongjun Xu 001 (IJCAI, 2021)

Soft and Hard Filter Pruning via Dimension Reduction. - Linhang Cai; Zhulin An; Chuanguang Yang; Yongjun Xu 001 (IJCNN, 2021)

Learning Positional Priors for Pretraining 2D Pose Estimators. - Kun Zhang 045; Ping Yao; Rui Wu; Chuanguang Yang; Ding Li 006; Min Du; Kai Deng; Renbiao Liu; Tianyao Zheng (HUMA @ ACM Multimedia, 2021)

Prior Gradient Mask Guided Pruning-Aware Fine-Tuning. - Linhang Cai; Zhulin An; Chuanguang Yang; Yangchun Yan; Yongjun Xu 001 (AAAI, 2022)

Mutual Contrastive Learning for Visual Representation Learning. - Chuanguang Yang; Zhulin An; Linhang Cai; Yongjun Xu 001 (AAAI, 2022)

Cross-Image Relational Knowledge Distillation for Semantic Segmentation. - Chuanguang Yang; Helong Zhou; Zhulin An; Xue Jiang; Yongjun Xu 001; Qian Zhang 009 (CVPR, 2022)

MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition. - Chuanguang Yang; Zhulin An; Helong Zhou; Linhang Cai; Xiang Zhi; Jiwen Wu; Yongjun Xu 001; Qian Zhang 009 (ECCV (24), 2022)

Localizing Semantic Patches for Accelerating Image Classification. - Chuanguang Yang; Zhulin An; Yongjun Xu 001 (ICME, 2022)

Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. - Chuanguang Yang; Zhulin An; Helong Zhou; Yongjun Xu 001; Qian Zhang 009 (CoRR, 2022)

VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching. - Junyu Bi; Daixuan Cheng; Ping Yao; Bochen Pang; Yuefeng Zhan; Chuanguang Yang; Yujing Wang; Hao Sun 015; Weiwei Deng; Qi Zhang 066 (ICCV, 2023)

eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation. - Libo Huang; Yan Zeng 002; Chuanguang Yang; Zhulin An; Boyu Diao; Yongjun Xu 001 (CoRR, 2023)

Team AcieLee: Technical Report for EPIC-SOUNDS Audio-Based Interaction Recognition Challenge 2023. - Yuqi Li; Yizhi Luo; Xiaoshuai Hao; Chuanguang Yang; Zhulin An; Dantong Song; Wei Yi (CoRR, 2023)

Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation. - Chuanguang Yang; Xinqiang Yu; Zhulin An; Yongjun Xu 001 (CoRR, 2023)

CLIP-KD: An Empirical Study of Distilling CLIP Models. - Chuanguang Yang; Zhulin An; Libo Huang; Junyu Bi; Xinqiang Yu; Han Yang; Yongjun Xu 001 (CoRR, 2023)

Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. - Chuanguang Yang; Zhulin An; Helong Zhou; Fuzhen Zhuang; Yongjun Xu 001; Qian Zhang 009 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation. - Libo Huang; Yan Zeng 002; Chuanguang Yang; Zhulin An; Boyu Diao; Yongjun Xu 001 (AAAI, 2024)

Class-wise Image Mixture Guided Self-Knowledge Distillation for Image Classification. - Zeyu Dong; Chuanguang Yang; Yuqi Li; Libo Huang; Zhulin An; Yongjun Xu 001 (CSCWD, 2024)

Online Relational Knowledge Distillation for Image Classification. - Yihang Zhou; Chuanguang Yang; Yuqi Li; Libo Huang; Zhulin An; Yongjun Xu 001 (CSCWD, 2024)

CLIP-KD: An Empirical Study of CLIP Model Distillation. - Chuanguang Yang; Zhulin An; Libo Huang; Junyu Bi; Xinqiang Yu; Han Yang; Boyu Diao; Yongjun Xu 001 (CVPR, 2024)

DetKDS: Knowledge Distillation Search for Object Detectors. - Lujun Li 001; Yufan Bao; Peijie Dong; Chuanguang Yang; Anggeng Li; Wenhan Luo; Qifeng Liu; Wei Xue 002; Yike Guo (ICML, 2024)

CPG: Channel Pruning with DFS Guided Grouping for Efficient Medical Image Segmentation. - Xilin Yan; Fuyan Zhang; Yuqi Li; Zhen Qiu; Boyuan Zhao; Jiarui Li; Hansheng Zeng; Yihao Chen; Chuanguang Yang (ICONIP (4), 2024)

Online Policy Distillation with Decision-Attention. - Xinqiang Yu; Chuanguang Yang; Chengqing Yu; Libo Huang; Zhulin An; Yongjun Xu 001 (IJCNN, 2024)

Relational Diffusion Distillation for Efficient Image Generation. - Weilun Feng; Chuanguang Yang; Zhulin An; Libo Huang; Boyu Diao; Fei Wang 014; Yongjun Xu 001 (ACM Multimedia, 2024)

Exemplar-Free Class Incremental Learning via Incremental Representation. - Libo Huang; Zhulin An; Yan Zeng 002; Chuanguang Yang; Xinqiang Yu; Yongjun Xu 001 (CoRR, 2024)

SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Models. - Yuqi Li; Yao Lu; Zeyu Dong; Chuanguang Yang; Yihao Chen; Jianping Gou (CoRR, 2024)

Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution. - Chuanguang Yang; Zhulin An; Linhang Cai; Yongjun Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

PDD: Pruning Neural Networks During Knowledge Distillation. - Xi Dan; Wenjie Yang; Fuyan Zhang; Yihang Zhou; Zhuojun Yu; Zhen Qiu; Boyuan Zhao; Zeyu Dong; Libo Huang; Chuanguang Yang (Cogn. Comput., 2024)

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models. - Weilun Feng; Haotong Qin; Chuanguang Yang; Zhulin An; Libo Huang; Boyu Diao; Fei Wang 014; Renshuai Tao; Yongjun Xu 001; Michele Magno (AAAI, 2025)

HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation. - Han Yang; Chuanguang Yang; Zhulin An; Libo Huang; Yongjun Xu 001 (AAAI, 2025)

Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition. - Chuanguang Yang; Xinqiang Yu; Han Yang; Zhulin An; Chengqing Yu; Libo Huang; Yongjun Xu 001 (AAAI, 2025)

Multi-party Collaborative Attention Control for Image Customization. - Han Yang; Chuanguang Yang; Qiuli Wang 001; Zhulin An; Weilun Feng; Libo Huang; Yongjun Xu 001 (CVPR, 2025)

Cross-Layer Graph Knowledge Distillation for Image Recognition. - Jiaming Chu; Yanzhuo Xiang; Yuqi Li; Chuanguang Yang; Zhulin An; Yongjun Xu 001 (ICASSP, 2025)

Prototype-Driven Multi-Feature Generation for Visible-Infrared Person Re-identification. - Jiarui Li; Zhen Qiu; Yilin Yang; Yuqi Li; Zeyu Dong; Chuanguang Yang (ICASSP, 2025)

OLN++: Improved Object Localization Network for Open-world Object Detection. - Haonan Mai; Libo Huang; Zhulin An; Jiarui Zhao; Chuanguang Yang; Erhu Zhao; Yongjun Xu 001 (ICASSP, 2025)

ECG-guided individual identification via PPG. - Riling Wei; Hanjie Chen; Kelu Yao; Chuanguang Yang; Jun Wang; Chao Li 028 (ICASSP, 2025)

Enhancing Image Generation Fidelity via Progressive Prompts. - Zhen Xiong; Yuqi Li; Chuanguang Yang; Tiao Tan; Zhihong Zhu; Siyuan Li; Yue Ma (ICASSP, 2025)

Achieving fair medical image segmentation in foundation models with adversarial visual prompt tuning. - Yuqi Li; Yanli Li; Kai Zhang 029; Fuyan Zhang; Chuanguang Yang; Zhongliang Guo 001; Weiping Ding 001; Tingwen Huang (Inf. Sci., 2025)

Enhancing spatiotemporal prediction through the integration of Mamba state space models and Diffusion Transformers. - Hansheng Zeng; Yuqi Li; Ruize Niu; Chuanguang Yang; Shiping Wen 001 (Knowl. Based Syst., 2025)

Spatio-temporal masked autoencoder-based phonetic segments classification from ultrasound. - Xi Dan; Kele Xu; Yihang Zhou; Chuanguang Yang; Yihao Chen; Yutao Dou; Cheng Yang 004 (Speech Commun., 2025)

ECG-guided individual identification via PPG. - Riling Wei; Hanjie Chen; Kelu Yao; Chuanguang Yang; Jun Wang; Chao Li (CoRR, 2025)

FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot Detection. - Yuqi Li; Xingyou Lin; Kai Zhang 029; Chuanguang Yang; Zhongliang Guo 001; Jianping Gou; Yanli Li (CoRR, 2025)

Efficient Continual Learning through Frequency Decomposition and Integration. - Ruiqi Liu; Boyu Diao; Libo Huang; Hangda Liu; Chuanguang Yang; Zhulin An; Yongjun Xu 001 (CoRR, 2025)

PrePrompt: Predictive prompting for class incremental learning. - Libo Huang; Zhulin An; Chuanguang Yang; Boyu Diao; Fei Wang 014; Yan Zeng 002; Zhifeng Hao; Yong-Jun Xu 001 (CoRR, 2025)

SepPrune: Structured Pruning for Efficient Deep Speech Separation. - Yuqi Li; Kai Li; Xin Yin; Zhifei Yang 004; Junhao Dong 001; Zeyu Dong; Chuanguang Yang; Yingli Tian; Yao Lu (CoRR, 2025)

Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers. - Weilun Feng; Chuanguang Yang; Haotong Qin; Xiangqi Li; Yu Wang; Zhulin An; Libo Huang; Boyu Diao; Zixiang Zhao; Yongjun Xu 001; Michele Magno (CoRR, 2025)

Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates. - Chengqing Yu; Fei Wang 014; Chuanguang Yang; Zezhi Shao; Tao Sun 011; Tangwen Qian; Wei Wei 002; Zhulin An; Yongjun Xu 001 (CoRR, 2025)

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation. - Yuqi Li; Junhao Dong 001; Zeyu Dong; Chuanguang Yang; Zhulin An; Yongjun Xu 001 (CoRR, 2025)

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting. - Yuqi Li; Chuanguang Yang; Hansheng Zeng; Zeyu Dong; Zhulin An; Yongjun Xu 001; Yingli Tian; Hao Wu (CoRR, 2025)

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation. - Weilun Feng; Chuanguang Yang; Haotong Qin; Yuqi Li; Xiangqi Li; Zhulin An; Libo Huang; Boyu Diao; Fuzhen Zhuang; Michele Magno; Yongjun Xu 001; Yingli Tian; et al. (CoRR, 2025)

S2Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation. - Weilun Feng; Haotong Qin; Chuanguang Yang; Xiangqi Li; Han Yang; Yuqi Li; Zhulin An; Libo Huang; Michele Magno; Yongjun Xu 001 (CoRR, 2025)