| 2026 | AAAI | Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation. | Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin |
| 2026 | ACL | Enhancing the Transferability of Jailbreak Attacks on Large Language Models via Exploiting Reparameterization Invariance. | Ao Wang, Xinghao Yang, Yongshun Gong, Wei Liu, Bao-di Liu, Weifeng Liu |
| 2025 | AAAI | Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification. | Yudong Han, Haocong Wang, Yupeng Hu, Yongshun Gong, Xuemeng Song, Weili Guan |
| 2025 | AAAI | PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration. | Xiaoshui Huang, Zhou Huang, Yifan Zuo, Yongshun Gong, Chengdong Zhang, Deyang Liu, Yuming Fang |
| 2025 | ACL | CodeV: Issue Resolving with Visual Data. | Linhao Zhang, Daoguang Zan, Quanshun Yang, Zhirong Huang, Dong Chen, Bo Shen, Tianyu Liu, Yongshun Gong, Pengjie Huang, Xudong Lu, Guangtai Liang, Lizhen Cui, Qianxiang Wang |
| 2025 | CVPR | SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning. | Ren Wang, Haoliang Sun, Yuxiu Lin, Chuanhui Zuo, Yongshun Gong, Yilong Yin, Wenjia Meng |
| 2025 | CVPR | An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models. | Wentao Qu, Jing Wang, Yongshun Gong, Xiaoshui Huang, Liang Xiao |
| 2025 | ICASSP | Disparity-Guided Cross-View Transformer For Stereo Image Super-Resolution. | Bingting Li, Wenjing Shang, Yongshun Gong, Qiangchang Wang, Xinxin Zhang, Yilong Yin |
| 2025 | IJCAI | CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning. | Min Yang, Yang An, Jinliang Deng, Xiaoyu Li, Bin Xu, Ji Zhong, Xiankai Lu, Yongshun Gong |
| 2025 | IJCAI | Towards Region-Adaptive Feature Disentanglement and Enhancement for Small Object Detection. | Yanchao Bi, Yang Ning, Xiushan Nie, Xiankai Lu, Yongshun Gong, Leida Li |
| 2025 | IJCAI | Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction. | Shilu Yuan, Xiaoyu Li, Wenqian Mu, Ji Zhong, Meng Chen, Haoliang Sun, Yongshun Gong |
| 2025 | WWW | Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes. | Yishuo Li, Qi Zhang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Jiasheng Si, Yongshun Gong, Liang Hu |
| 2024 | AAAI | Exploring Channel-Aware Typical Features for Out-of-Distribution Detection. | Rundong He, Yue Yuan, Zhongyi Han, Fan Wang, Wan Su, Yilong Yin, Tongliang Liu, Yongshun Gong |
| 2024 | AAAI | Urban Region Embedding via Multi-View Contrastive Prediction. | Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen |
| 2024 | ACL | CodeM: Less Data Yields More Versatility via Ability Matrix. | Daoguang Zan, Ailun Yu, Wei Liu, Bo Shen, Shaoxin Lin, Yongshun Gong, Yafen Yao, Yan Liu, Bei Guan, Weihua Luo, Yongji Wang, Qianxiang Wang, Lizhen Cui |
| 2024 | CIKM | Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction. | Yang An, Zhibin Li, Wei Liu, Haoliang Sun, Meng Chen, Wenpeng Lu, Yongshun Gong |
| 2024 | CIKM | Time-Series Representation Learning via Dual Reference Contrasting. | Rui Yu, Yongshun Gong, Shoujin Wang, Jiasheng Si, Xueping Peng, Bing Xu, Wenpeng Lu |
| 2024 | CVPR | Point Cloud Pre-Training with Diffusion Models. | Xiao Zheng, Xiaoshui Huang, Guofeng Mei, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong |
| 2024 | DASFAA | Fine-Grained Urban Flow Inference with Dynamic Multi-scale Representation Learning. | Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong |
| 2024 | ICASSP | Synonym Replacement and Generation Enhancement for Document Augmentation. | Jianwei Sun, Yang An, Xinyu Jiang, Qian Li, Yulong Liu, Yongshun Gong |
| 2024 | IJCAI | 3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset. | Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng |
| 2024 | IJCAI | Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences. | Hongwei Jia, Meng Chen, Weiming Huang, Kai Zhao, Yongshun Gong |
| 2024 | IJCAI | Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names. | Dabin Zhang, Meng Chen, Weiming Huang, Yongshun Gong, Kai Zhao |
| 2024 | KDD | Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology. | Meng Chen, Zechen Li, Weiming Huang, Yongshun Gong, Yilong Yin |
| 2024 | KDD | Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity. | Tianao Sun, Ke Fu, Weiming Huang, Kai Zhao, Yongshun Gong, Meng Chen |
| 2023 | CIKM | Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. | Xu Zhang, Yongshun Gong, Xinxin Zhang, Xiaoming Wu, Chengqi Zhang, Xiangjun Dong |
| 2023 | ICDM | Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning. | Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng |
| 2022 | CVPR | Exploring Domain-Invariant Parameters for Source Free Domain Adaptation. | Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin |
| 2020 | AAAI | Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. | Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi |
| 2020 | IJCAI | A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. | Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong |
| 2019 | KDD | Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. | Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch |
| 2018 | CIKM | Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization. | Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng, Christina Kirsch |
| 2018 | DICTA | Information Enhancement for Travelogues via a Hybrid Clustering Model. | Lu Zhang, Jingsong Xu, Jian Zhang, Yongshun Gong |