| 2026 | AAAI | Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs. | Jiayu Hu, Beibei Li, Jiangwei Xia, Yanjun Qin, Bing Ji, Zhongshi He |
| 2026 | AAAI | Adaptive Frequency Pathways for Spatiotemporal Forecasting. | Yanjun Qin, Yuchen Fang, Xinke Jiang, Hao Miao, Xiaoming Tao |
| 2025 | PRICAI | CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-scale Adaptive Fusion. | Shengchang Wang, Yue Han, Yanjun Qin, Yongke Li, Zhaoru Guo, Feng Yan, Lei Su, Haoxiang Huang, Tiquan Gu, Panpan Zheng |
| 2023 | ICDE | When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks. | Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chenxing Wang |
| 2023 | VTC | A Hybrid Approach for Driving Behavior Recognition: Integration of CNN and Transformer-Encoder with EEG data. | Yunlong Wang, Tianqi Liu, Yanjun Qin, Siyuan Shen, Xiaoming Tao |
| 2022 | SIGIR | Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network. | Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang |
| 2018 | UIC | Detecting Transportation Modes with Low-Power-Consumption Sensors Using Recurrent Neural Network. | Hao Wang, Haiyong Luo, Fang Zhao, Yanjun Qin, Zhongliang Zhao, Yiqu Chen |