| 2026 | KDD | Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning. | Dongyue Li, Zhenshuo Zhang, Minxuan Duan, Edgar Dobriban, Hongyang R. Zhang |
| 2025 | ACL | Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets. | Dongyue Li, Ziniu Zhang, Lu Wang, Hongyang R. Zhang |
| 2025 | EMNLP | Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation. | Ziniu Zhang, Zhenshuo Zhang, Dongyue Li, Lu Wang, Jennifer G. Dy, Hongyang R. Zhang |
| 2025 | IROS | An Evidence-Based Tri-Branch Cross-Pseudo Supervision Method for Semi-Supervised Medical Image Segmentation. | Dongyue Li, Aocheng Luo, Shaoan Wang, Yaoqing Hu, Jie Pan, Yifei Wang, Junzhi Yu |
| 2024 | EMNLP | Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach. | Dongyue Li, Ziniu Zhang, Lu Wang, Hongyang Zhang |
| 2024 | KDD | Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity. | Dongyue Li, Aneesh Sharma, Hongyang R. Zhang |
| 2023 | AISTATS | Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion. | Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang |
| 2023 | ICASSP | MSFORMER: Multi-Scale Transformer with Neighborhood Consensus for Feature Matching. | Dongyue Li, Yaping Yan, Dong Liang, Songlin Du |
| 2023 | KDD | Boosting Multitask Learning on Graphs through Higher-Order Task Affinities. | Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang |
| 2023 | SDM | Optimal Intervention on Weighted Networks via Edge Centrality. | Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang |
| 2022 | DATE | DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture. | Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He, Li Jiang |
| 2022 | ICML | Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees. | Haotian Ju, Dongyue Li, Hongyang R. Zhang |
| 2021 | CIKM | AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs. | Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang |
| 2021 | DAC | PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration. | Tao Yang, Dongyue Li, Yibo Han, Yilong Zhao, Fangxin Liu, Xiaoyao Liang, Zhezhi He, Li Jiang |
| 2021 | ISCAS | ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator. | Zhuoran Song, Dongyue Li, Zhezhi He, Xiaoyao Liang, Li Jiang |
| 2014 | IGARSS | Interpreting the remotely sensed microwave radiance FROm snow covered mountains via a high-resolution modeling framework. | Dongyue Li, Michael Durand, Steven A. Margulis |