| 2026 | AAAI | De Novo Molecular Generation from Mass Spectra via Many-Body Enhanced Diffusion. | Xichen Sun, Wentao Wei, Jiahua Rao, Jiancong Xie, Yuedong Yang |
| 2026 | AAAI | Informative Subgraph Extraction with Deep Reinforcement Learning for Drug-Drug Interaction Prediction. | Jiancong Xie, Wentao Wei, Chi Zhang, Jiahua Rao, Yuedong Yang |
| 2026 | AAAI | Advancing Protein Design via Multi-Agent Reinforcement Learning with Pareto-Based Collaborative Optimization. | Mingming Zhu, Jiahua Rao, Xiaoyu Chen, Qianmu Yuan, Yuedong Yang |
| 2025 | AAAI | Advancing Retrosynthesis with Retrieval-Augmented Graph Generation. | Anjie Qiao, Zhen Wang, Jiahua Rao, Yuedong Yang, Zhewei Wei |
| 2025 | CVPR | Multi-modal Contrastive Learning with Negative Sampling Calibration for Phenotypic Drug Discovery. | Jiahua Rao, Hanjing Lin, Leyu Chen, Jiancong Xie, Shuangjia Zheng, Yuedong Yang |
| 2025 | ICML | Quadruple Attention in Many-body Systems for Accurate Molecular Property Predictions. | Jiahua Rao, Dahao Xu, Wentao Wei, Yicong Chen, Mingjun Yang, Yuedong Yang |
| 2025 | KDD | Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Molecular Graph Learning. | Jiahua Rao, Hanjing Lin, Jiancong Xie, Zhen Wang, Shuangjia Zheng, Yuedong Yang |
| 2024 | CVPR | Instance-level Expert Knowledge and Aggregate Discriminative Attention for Radiology Report Generation. | Shenshen Bu, Taiji Li, Yuedong Yang, Zhiming Dai |
| 2024 | CVPR | Cache and Reuse: Rethinking the Efficiency of On-device Transfer Learning. | Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu |
| 2023 | CVPR | Efficient On-Device Training via Gradient Filtering. | Yuedong Yang, Guihong Li, Radu Marculescu |
| 2023 | ICLR | ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients. | Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu |
| 2023 | ICML | TIPS: Topologically Important Path Sampling for Anytime Neural Networks. | Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu |
| 2022 | IJCAI | Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. | Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang |
| 2021 | AAAI | Communicative Message Passing for Inductive Relation Reasoning. | Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu |
| 2021 | CoRL | Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices. | Yuedong Yang, Zihui Xue, Radu Marculescu |
| 2021 | IJCAI | Learning Attributed Graph Representation with Communicative Message Passing Transformer. | Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang |
| 2021 | MICCAI | Integration of Patch Features Through Self-supervised Learning and Transformer for Survival Analysis on Whole Slide Images. | Ziwang Huang, Hua Chai, Ruoqi Wang, Haitao Wang, Yuedong Yang, Hejun Wu |
| 2020 | IJCAI | Communicative Representation Learning on Attributed Molecular Graphs. | Ying Song, Shuangjia Zheng, Zhangming Niu, Zhang-Hua Fu, Yutong Lu, Yuedong Yang |
| 2020 | IECON | HeLPS: Heterogeneous LiDAR-based Positioning System for Autonomous Vehicle. | Yuedong Yang, Chao Xia, Xiaodong Deng, Yanqing Shen, Shitao Chen, Nanning Zheng |