| 2026 | AAAI | Causal-LLM: Towards Predictive and Interpretable Spatiotemporal Foundation Models. | Zhiqing Cui |
| 2026 | AAAI | Affordance-R1: Reinforcement Learning for Generalizable Affordance Reasoning in Multimodal Large Language Models. | Hanqing Wang, Shaoyang Wang, Yiming Zhong, Zemin Yang, Jiamin Wang, Zhiqing Cui, Jiahao Yuan, Yifan Han, Mingyu Liu, Yuexin Ma |
| 2026 | ACL | Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models. | Zhiqing Cui, Binwu Wang, Qingxiang Liu, Yeqiang Wang, Zhengyang Zhou, Yuxuan Liang, Yang Wang |
| 2026 | WWW | Kardia-R1: Unleashing LLMs to Reason toward Understanding and Empathy for Emotional Support via Rubric-as-Judge Reinforcement Learning. | Jiahao Yuan, Zhiqing Cui, Hanqing Wang, Yuansheng Gao, Yucheng Zhou, Usman Naseem |
| 2025 | ACL | ReflectDiffu: Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework. | Jiahao Yuan, Zixiang Di, Zhiqing Cui, Guisong Yang, Usman Naseem |
| 2025 | IJCAI | Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting. | Jiaming Ma, Zhiqing Cui, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Yang Wang |