| 2026 | AAAI | OmniPT: Unleashing the Potential of Large Vision Language Models for Pedestrian Tracking and Understanding. | Teng Fu, Mengyang Zhao, Ke Niu, Kaixin Peng, Bin Li |
| 2026 | AAAI | From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation. | Ke Niu, Haiyang Yu, Zhuofan Chen, Mengyang Zhao, Teng Fu, Bin Li, Xiangyang Xue |
| 2026 | AAAI | DeLightMono: Enhancing Self-Supervised Monocular Depth Estimation in Endoscopy by Decoupling Uneven Illumination. | Mingyang Ou, Haojin Li, Yifeng Zhang, Ke Niu, Zhongxi Qiu, Heng Li, Jiang Liu |
| 2026 | ACL | Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning. | Haiyang Yu, Yuchuan Wu, Fan Shi, Jinghui Lu, Ke Niu, Xiaodong Ge, Minghan Zhuo, Jingqun Tang, Bin Li |
| 2025 | AAAI | Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking. | Teng Fu, Haiyang Yu, Ke Niu, Bin Li, Xiangyang Xue |
| 2025 | AAAI | AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation. | Haojin Li, Heng Li, Jianyu Chen, Rihan Zhong, Ke Niu, Huazhu Fu, Jiang Liu |
| 2025 | ICCV | ChatReID: Open-Ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models. | Ke Niu, Haiyang Yu, Mengyang Zhao, Teng Fu, Siyang Yi, Wei Lu, Bin Li, Xuelin Qian, Xiangyang Xue |
| 2024 | IJCNN | Self-KT: Self-attentive Knowledge Tracing with Feature Fusion Pre-training in Online Education. | Guoqiang Lu, Ke Niu, Xueping Peng, Yuhang Zhou, Ke Zhang, Wenjuan Tai |
| 2023 | IJCNN | CGDC- LSTM: A novel hybrid neural network model for MOOC dropout prediction. | Yuhang Zhou, Ke Niu, Haoyi Lv, GuoQiang Lu, Yijie Pan |
| 2023 | ICTAI | MedCT-BERT: Multimodal Mortality Prediction using Medical ConvTransformer-BERT Model. | Ke Zhang, Ke Niu, Yuhang Zhou, Wenjuan Tai, Guoqiang Lu |
| 2022 | ICTAI | MIFTP: A Multimodal Multi-Level Independent Fusion Framework with Improved Twin Pyramid for Multilabel Chest X-Ray Image Classification. | Jingni Zeng, Ke Niu, You Lu, Su Pei, Yuhang Zhou, Zhongmin Guo |
| 2021 | KSEM | Readmission Prediction with Knowledge Graph Attention and RNN-Based Ordinary Differential Equations. | Su Pei, Ke Niu, Xueping Peng, Jingni Zeng |
| 2019 | ADMA | Prediction for Student Academic Performance Using SMNaive Bayes Model. | Baoting Jia, Ke Niu, Xia Hou, Ning Li, Xueping Peng, Peipei Gu, Ran Jia |
| 2019 | ICSR | ACO-RR: Ant Colony Optimization Ridge Regression in Reuse of Smart City System. | Qiaoyun Yin, Ke Niu, Ning Li, Xueping Peng, Yijie Pan |
| 2017 | ICTAI | Using CV-CRITIC to Determine Weights for Smart City Evaluation. | Qiaoyun Yin, Ke Niu, Ning Li |
| 2016 | EDM | A Coupled User Clustering Algorithm for Web-based Learning Systems. | Ke Niu, Zhendong Niu, Xiangyu Zhao, Can Wang, Kai Kang, Min Ye |
| 2015 | DASFAA | Learning Trend Analysis and Prediction Based on Knowledge Tracing and Regression Analysis. | Yali Cai, Zhendong Niu, Yingwang Wang, Ke Niu |
| 2014 | ICTAI | A Personalized User Evaluation Model for Web-Based Learning Systems. | Ke Niu, Zhendong Niu, Donglei Liu, Xiangyu Zhao, Peipei Gu |
| 2007 | ICCS | A New Multi-class SVM Algorithm Based on One-Class SVM. | Xiaoyuan Yang, Jia Liu, Min-Qing Zhang, Ke Niu |