| 2026 | AAAI | Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation. | Zhenshuo Zhang, Minxuan Duan, Youran Ye, Hongyang R. Zhang |
| 2026 | KDD | Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning. | Dongyue Li, Zhenshuo Zhang, Minxuan Duan, Edgar Dobriban, 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 |
| 2024 | WWW | MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning. | Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang |
| 2024 | WWW | GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning. | Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang |
| 2023 | ECAI | Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework. | Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang |