| 2025 | CVPR | Once-Tuning-Multiple-Variants: Tuning Once and Expanded as Multiple Vision-Language Model Variants. | Chong Yu, Tao Chen, Zhongxue Gan |
| 2025 | CVPR | Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning. | Maosen Zhao, Pengtao Chen, Chong Yu, Yan Wen, Xudong Tan, Tao Chen |
| 2025 | IJCAI | Boost Embodied AI Models with Robust Compression Boundary. | Chong Yu, Tao Chen, Zhongxue Gan |
| 2024 | AAAI | Boosting Residual Networks with Group Knowledge. | Shengji Tang, Peng Ye, Baopu Li, Weihao Lin, Tao Chen, Tong He, Chong Yu, Wanli Ouyang |
| 2024 | CVPR | MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer. | Jianjian Cao, Peng Ye, Shengze Li, Chong Yu, Yansong Tang, Jiwen Lu, Tao Chen |
| 2024 | CVPR | Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression. | Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang |
| 2024 | ECCV | Enhanced Sparsification via Stimulative Training. | Shengji Tang, Weihao Lin, Hancheng Ye, Peng Ye, Chong Yu, Baopu Li, Tao Chen |
| 2024 | IJCAI | Spear: Evaluate the Adversarial Robustness of Compressed Neural Models. | Chong Yu, Tao Chen, Zhongxue Gan, Jiayuan Fan |
| 2024 | ICRA | Through the Real World Haze Scenes: Navigating the Synthetic-to-Real Gap in Challenging Image Dehazing. | Shijie Chen, Mohammad Mahdizadeh, Chong Yu, Jiayuan Fan, Tao Chen |
| 2023 | ACL | Boost Transformer-based Language Models with GPU-Friendly Sparsity and Quantization. | Chong Yu, Tao Chen, Zhongxue Gan |
| 2023 | CVPR | Boost Vision Transformer with GPU-Friendly Sparsity and Quantization. | Chong Yu, Tao Chen, Zhongxue Gan, Jiayuan Fan |
| 2023 | IJCAI | Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend. | Chong Yu, Tao Chen, Zhongxue Gan |
| 2022 | WCNC | Energy-Aware Device Scheduling for Joint Federated Learning in Edge-assisted Internet of Agriculture Things. | Chong Yu, Shuaiqi Shen, Kuan Zhang, Hai Zhao, Yeyin Shi |
| 2021 | CVPR | Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner. | Chong Yu |
| 2021 | GLOBECOM | Exploiting Ensemble Learning for Edge-assisted Anomaly Detection Scheme in e-healthcare System. | Wei Yao, Kuan Zhang, Chong Yu, Hai Zhao |
| 2021 | IWCMC | Communication-Efficient Federated Learning for Connected Vehicles with Constrained Resources. | Shuaiqi Shen, Chong Yu, Kuan Zhang, Xi Chen, Huimin Chen, Song Ci |
| 2020 | AAAI | Attention Based Data Hiding with Generative Adversarial Networks. | Chong Yu |
| 2019 | CVPR | Semi-supervised Three-dimensional Reconstruction Framework with Generative Adversarial Networks. | Chong Yu |
| 2019 | IJCAI | Semi-supervised Three-dimensional Reconstruction Framework with GAN. | Chong Yu |
| 2018 | ICLR | 3D-Scene-GAN: Three-dimensional Scene Reconstruction with Generative Adversarial Networks. | Chong Yu, Young Wang |
| 2018 | ICONIP | A Refined Spatial Transformer Network. | Chang Shu, Xi Chen, Chong Yu, Hua Han |
| 2016 | ACML | Long Short-term Memory Network over Rhetorical Structure Theory for Sentence-level Sentiment Analysis. | Xianghua Fu, Wangwang Liu, Yingying Xu, Chong Yu, Ting Wang |
| 2016 | ACML | Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model. | Xianghua Fu, Ting Wang, Jing Li, Chong Yu, Wangwang Liu |