Correlation Analysis-Based Neural Network Self-Organizing Genetic Evolutionary Algorithm. - Zenghao Chai; Xu Yang 003; Zhilin Liu; Yunlin Lei; Wenhao Zheng; Mengyao Ji; Jinfeng Zhao (IEEE Access, 2019)

Research on learning mechanism designing for equilibrated bipolar spiking neural networks. - Xu Yang 003; Jiajun Lin; Wenhao Zheng; Jinfeng Zhao; Mengyao Ji; Yunlin Lei; Zenghao Chai (Artif. Intell. Rev., 2020)

Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective. - Zhengzhuo Xu; Zenghao Chai; Chun Yuan (NeurIPS, 2021)

CMS-LSTM: Context-Embedding and Multi-Scale Spatiotemporal-Expression LSTM for Video Prediction. - Zenghao Chai; Chun Yuan; Zhihui Lin; Yunpeng Bai (CoRR, 2021)

Semantic-Sparse Colorization Network for Deep Exemplar-Based Colorization. - Yunpeng Bai; Chao Dong 005; Zenghao Chai; Andong Wang; Zhengzhuo Xu; Chun Yuan (ECCV (6), 2022)

REALY: Rethinking the Evaluation of 3D Face Reconstruction. - Zenghao Chai; Haoxian Zhang; Jing Ren 004; Di Kang; Zhengzhuo Xu; Xuefei Zhe; Chun Yuan; Linchao Bao (ECCV (8), 2022)

Modernn: Towards Fine-Grained Motion Details for Spatiotemporal Predictive Learning. - Zenghao Chai; Zhengzhuo Xu; Chun Yuan (ICASSP, 2022)

CMS-LSTM: Context Embedding and Multi-Scale Spatiotemporal Expression LSTM for Predictive Learning. - Zenghao Chai; Zhengzhuo Xu; Yunpeng Bai; Zhihui Lin; Chun Yuan (ICME, 2022)

HyP2 Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval. - Chengyin Xu; Zenghao Chai; Zhengzhuo Xu; Chun Yuan; Yanbo Fan; Jue Wang 001 (ACM Multimedia, 2022)

Learning Imbalanced Data with Vision Transformers. - Zhengzhuo Xu; Ruikang Liu; Shuo Yang; Zenghao Chai; Chun Yuan (CVPR, 2023)

HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details. - Zenghao Chai; Tianke Zhang; Tianyu He; Xu Tan 003; Tadas Baltrusaitis; HsiangTao Wu; Runnan Li; Sheng Zhao; Chun Yuan; Jiang Bian 002 (ICCV, 2023)

SEAM: Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization. - Chen Tang; Kai Ouyang; Zenghao Chai; Yunpeng Bai; Yuan Meng; Zhi Wang 001; Wenwu Zhu 001 (ACM Multimedia, 2023)

ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models. - Shengmeng Li; Luping Liu; Zenghao Chai; Runnan Li; Xu Tan 003 (CoRR, 2023)

Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization. - Chen Tang; Kai Ouyang; Zenghao Chai; Yunpeng Bai; Zhi Wang 001 (CoRR, 2023)

HHF: Hashing-Guided Hinge Function for Deep Hashing Retrieval. - Chengyin Xu; Zenghao Chai; Zhengzhuo Xu; Hongjia Li; Qiruyi Zuo; Lingyu Yang; Chun Yuan (IEEE Trans. Multim., 2023)

STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting. - Zenghao Chai; Chen Tang; Yongkang Wong; Mohan S. Kankanhalli (CoRR, 2024)

PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference. - Ye Li 016; Chen Tang; Yuan Meng; Jiajun Fan; Zenghao Chai; Xinzhu Ma; Zhi Wang 001; Wenwu Zhu 001 (CoRR, 2024)

Towards Effective Collaborative Learning in Long-Tailed Recognition. - Zhengzhuo Xu; Zenghao Chai; Chengyin Xu; Chun Yuan; Haiqin Yang (IEEE Trans. Multim., 2024)