Design of Kernels in Convolutional Neural Networks for Image Classification. - Zhun Sun; Mete Ozay; Takayuki Okatani (ECCV (7), 2016)

Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs. - Zhun Sun; Mete Ozay; Takayuki Okatani (CoRR, 2017)

Linear Discriminant Generative Adversarial Networks. - Zhun Sun; Mete Ozay; Takayuki Okatani (CoRR, 2017)

Information Potential Auto-Encoders. - Yan Zhang 055; Mete Ozay; Zhun Sun; Takayuki Okatani (CoRR, 2017)

HyperNetworks with statistical filtering for defending adversarial examples. - Zhun Sun; Mete Ozay; Takayuki Okatani (CoRR, 2017)

Feature Quantization for Defending Against Distortion of Images. - Zhun Sun; Mete Ozay; Yan Zhang 055; Xing Liu 010; Takayuki Okatani (CVPR, 2018)

Guaranteed Matrix Completion Under Multiple Linear Transformations. - Chao Li 013; Wei He 003; Longhao Yuan; Zhun Sun; Qibin Zhao (CVPR, 2019)

Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. - Xing Liu 010; Masanori Suganuma; Zhun Sun; Takayuki Okatani (CVPR, 2019)

Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. - Mingzhen Shao; Zhun Sun; Mete Ozay; Takayuki Okatani (FG, 2019)

Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. - Chao Li 013; Zhun Sun; Jinshi Yu; Ming Hou; Qibin Zhao (ICASSP, 2019)

Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling. - Chao Li 013; Mohammad Emtiyaz Khan; Zhun Sun; Gang Niu 001; Bo Han 003; Shengli Xie; Qibin Zhao (AAAI, 2020)

Evolutionary Topology Search for Tensor Network Decomposition. - Chao Li 013; Zhun Sun (ICML, 2020)

Application-Oblivious L7 Parsing Using Recurrent Neural Networks. - Hao Li 011; Zhengda Bian; Peng Zhang 011; Zhun Sun; Chengchen Hu; Qiang Fu 011; Tian Pan 001; Jia Lv (IEEE/ACM Trans. Netw., 2020)

On the Memory Mechanism of Tensor-Power Recurrent Models. - Hejia Qiu; Chao Li 013; Ying Weng; Zhun Sun; Xingyu He; Qibin Zhao (AISTATS, 2021)

Siamese Prototypical Contrastive Learning. - Shentong Mo; Zhun Sun; Chao Li 013 (BMVC, 2021)

Hide Chopin in the Music: Efficient Information Steganography Via Random Shuffling. - Zhun Sun; Chao Li 013; Qibin Zhao (ICASSP, 2021)

Focus and retain: Complement the Broken Pose in Human Image Synthesis. - Pu Ge; Qiushi Huang; Wei Xiang; Xue Jing; Yule Li; Yiyong Li; Zhun Sun (WACV, 2021)

Are we pruning the correct channels in image-to-image translation models? - Yiyong Li; Zhun Sun; Chao Li 013 (BMVC, 2022)

Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation. - Shentong Mo; Zhun Sun; Chao Li 013 (BMVC, 2022)

Transferring Textual Knowledge for Visual Recognition. - Wenhao Wu; Zhun Sun; Wanli Ouyang (CoRR, 2022)

Design of the topology for contrastive visual-textual alignment. - Zhun Sun (CoRR, 2022)

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition. - Wenhao Wu; Zhun Sun; Wanli Ouyang (AAAI, 2023)

What Can Simple Arithmetic Operations Do for Temporal Modeling? - Wenhao Wu; Yuxin Song; Zhun Sun; Jingdong Wang 001; Chang Xu 002; Wanli Ouyang (ICCV, 2023)

Representation Disentanglement in Generative Models with Contrastive Learning. - Shentong Mo; Zhun Sun; Chao Li 013 (WACV, 2023)

Multi-level Contrastive Learning for Self-Supervised Vision Transformers. - Shentong Mo; Zhun Sun; Chao Li 013 (WACV, 2023)

Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models. - Shentong Mo; Zhun Sun; Chao Li 013 (CoRR, 2023)

tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs). - Junhua Zeng; Chao Li 013; Zhun Sun; Qibin Zhao; Guoxu Zhou (ICML, 2024)

Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs). - Junhua Zeng; Guoxu Zhou; Chao Li 013; Zhun Sun; Qibin Zhao (CoRR, 2024)

Analyzing the Impact of Learnable Softmax Temperature in Contrastive Visual-Textual Alignment Systems: Benefits, Drawbacks, and Alternative Approaches. - Zhun Sun; Chao Li 013 (Trans. Mach. Learn. Res., 2024)

Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective. - Wenhao Wu; Zhun Sun; Yuxin Song; Jingdong Wang 001; Wanli Ouyang (Int. J. Comput. Vis., 2024)

Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning. - Hai-Long Sun; Zhun Sun; Houwen Peng; Han-Jia Ye (ACL (1), 2025)

Fractional Tensor Recurrent Unit (fTRU): A Stable Forecasting Model With Long Memory. - Hejia Qiu; Chao Li 013; Ying Weng; Zhun Sun; Qibin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2025)