Zhiqing Cui

According to our database, Zhiqing Cui authored at least 19 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

VideoAfford: Grounding 3D Affordance from Human-Object-Interaction Videos via Multimodal Large Language Model.

Hanqing Wang, Mingyu Liu, Xiaoyu Chen, Chengwei MA, Yiming Zhong, Wenti Yin, Yuhao Liu, Zhiqing Cui, Jiahao Yuan, Lu Dai, Zhiyuan Ma, Hui Xiong

CoRR, February, 2026

PaperX: A Unified Framework for Multimodal Academic Presentation Generation with Scholar DAG.

Tao Yu, Minghui Zhang, Zhiqing Cui, Hao Wang, Zhongtian Luo, Shenghua Chai, Junhao Gong, Yuzhao Peng, Yuxuan Zhou, Yujia Yang, Zhenghao Zhang, Haopeng Jin, Xinming Wang, Yufei Xiong, Jiabing Yang, Jiahao Yuan, Hanqing Wang, Hongzhu Yi, Yan Huang, Liang Wang

CoRR, February, 2026

Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting.

Zhiqing Cui, Siru Zhong, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang

CoRR, January, 2026

DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting.

Siru Zhong, Yiqiu Liu, Zhiqing Cui, Zezhi Shao, Fei Wang, Qingsong Wen, Yuxuan Liang

CoRR, January, 2026

Rationale-Grounded In-Context Learning for Time Series Reasoning with Multimodal Large Language Models.

Qingxiang Liu, Zhiqing Cui, Xiaoliang Luo, Yuqian Wu, Zhuoyang Jiang, Huaiyu Wan, Sheng Sun, Lvchun Wang, Wei Yu, Yuxuan Liang

CoRR, January, 2026

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

Proceedings of the ACM Web Conference 2026, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Causal-LLM: Towards Predictive and Interpretable Spatiotemporal Foundation Models.

Zhiqing Cui

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Breaking through tropical cyclone intensity prediction: a foundation model Prithvi-TC.

Zhiqing Cui, Fan Meng, Jingjia Luo

Frontiers Comput. Sci., December, 2025

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

CoRR, October, 2025

Affordance-R1: Reinforcement Learning for Generalizable Affordance Reasoning in Multimodal Large Language Model.

Hanqing Wang, Shaoyang Wang, Yiming Zhong, Zemin Yang, Jiamin Wang, Zhiqing Cui, Jiahao Yuan, Yifan Han, Mingyu Liu, Yuexin Ma

CoRR, August, 2025

Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided Distillation.

Jiahao Yuan, Xingzhe Sun, Xing Yu, Jingwen Wang, Dehui Du, Zhiqing Cui, Zixiang Di

CoRR, April, 2025

Think Locally and Act Globally: A Frequency-Spatial Fusion Network for Infrared Small Target Detection.

Weijie Xu, Zhenglong Ding, Ziheng Wang, Zhiqing Cui, Yifan Hu, Feng Jiang

IEEE Trans. Geosci. Remote. Sens., 2025

RTL-Net: real-time lightweight Urban traffic object detection algorithm.

Zhiqing Cui, Jiahao Yuan, Haibin Xu, Yamei Wei, Zhenglong Ding

Complex Intell. Syst., 2025

Draw with Thought: Unleashing Multimodal Reasoning for Scientific Diagram Generation.

Zhiqing Cui, Jiahao Yuan, Hanqing Wang, Yanshu Li, Chenxu Du, Zhenglong Ding

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

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

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

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

CoRR, 2024

An improved DNN model for WLAN intrusion detection.

Haizhen Wang, Zhiqing Cui, Zuozheng Lian, Jinying Yan

Comput. J., 2024