| 2026 | AAAI | MetaTrader: Learning to Generalize RL Trading Policies Beyond Offline Data. | Haochen Yuan, Minting Pan, Yunbo Wang, Siyu Gao, Xiaokang Yang |
| 2026 | AAAI | Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation. | Haochen Yuan, Yang Zhang, Xiang He, Quan Z. Sheng, Zhongjie Wang |
| 2025 | ACL | Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs. | Yijie Jin, Junjie Peng, Xuanchao Lin, Haochen Yuan, Lan Wang, Cangzhi Zheng |
| 2025 | CIKM | PKGRec: Personal Knowledge Graph Construction and Mining for Federated Recommendation Enhancement. | Haochen Yuan, Yang Zhang, Quan Z. Sheng, Lina Yao, Yipeng Zhou, Xiang He, Zhongjie Wang |
| 2025 | EuroSys | NeuStream: Bridging Deep Learning Serving and Stream Processing. | Haochen Yuan, Yuanqing Wang, Wenhao Xie, Yu Cheng, Ziming Miao, Lingxiao Ma, Jilong Xue, Zhi Yang |
| 2024 | ICLR | Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video. | Xiangming Zhu, Huayu Deng, Haochen Yuan, Yunbo Wang, Xiaokang Yang |
| 2024 | ICWS | GCPN: A Group Connected based Method for Continual Vertical Federated Recommender Systems in Data Ecosystems. | Haochen Yuan, Xiang He, Ruihan Hu, Zhongjie Wang, Jun Zhou, Yunqing Feng, Lecheng Gong |
| 2023 | IJCNN | MHRNet: A Multi-stage Image Deblurring Approach with High-Resolution Representation Learning. | Wenfu Liu, Junjie Peng, Haochen Yuan, Luming Zhang, Zesu Cai |
| 2022 | ICWS | A Privacy-Preserving Oriented Service Recommendation Approach based on Personal Data Cloud and Federated Learning. | Haochen Yuan, Chao Ma, Zhenxiang Zhao, Xiaofei Xu, Zhongjie Wang |
| 2021 | SERVICES | A Blockchain-based Infrastructure for Distributed Internet of Services. | Yuxin Wang, Zhiying Tu, Yu Bai, Haochen Yuan, Xiaofei Xu, Zhongjie Wang |
| 2014 | ACSSC | Reducing the latency and improving the resolution of vector quantization with anamorphic stretch transform. | Haochen Yuan, Mohammad H. Asghari, Bahram Jalali |