| 2026 | AAAI | FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing. | Haoning Jiang, Han Wu, Zhuoli Ouyang, Ziheng Wang, Tinghuan Chen, Junmin Jiang |
| 2026 | DATE | GRAIN: A Design-Intent-Driven Analog Layout Migration Framework. | Bingyang Liu, Haoning Jiang, Haoyi Zhang, Xiaohan Gao, Zichen Kong, Xiyuan Tang, David Z. Pan, Yibo Lin |
| 2026 | DATE | ACEMARL: Adaptive Clustering Enhanced Multi-Agent Reinforcement Learning for Analog Circuit Sizing. | Han Wu, Haoning Jiang, Zhuoli Ouyang, Ziheng Wang, Qi Shen, Bo Yuan, Yan Lu, Junmin Jiang |
| 2026 | ISCAS | Parallel Critic-Free Reinforcement Learning with Direct Parameter Space Mapping for Large-Scale Analog LDO Sizing. | Han Wu, Haoning Jiang, Ziheng Wang, Zhuoli Ouyang, Chen Hu, Bo Yuan, Yan Lu, Junmin Jiang |
| 2026 | SIGCSE | Pacing for Mastery: Optimizing LLM Interactions for Learning. | Karena Tran, Ge Gao, Angela Lombard, Tyler Yu, Haoning Jiang, Thomas Y. Yeh |
| 2025 | LAK | Bridging Human and Machine Perspectives: Integrating Large Language Models into Collaborative Coding and Peer Debriefing for Qualitative Inquiry. | Haoning Jiang, Seth Corrigan, Kylie Peppler, Tisa Islam Erana |