| 2026 | AAAI | MARE: Multimodal Analogical Reasoning for Disease Evolution-Aware Radiology Report Generation. | Qingqing Gao, Tengfei Liu, Xiaoyan Li, Xiaodan Zhang, Zhongfan Sun, Boyue Wang, Baocai Yin, Zhaohui Liu |
| 2025 | AAAI | HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation. | Tengfei Liu, Jiapu Wang, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin |
| 2025 | CIKM | Towards Explainable Transaction Risk Analysis With Dual Graph Retrieval Augmented Generation. | Liang Su, Mingyang Zhang, Kangxiang Jia, Tengfei Liu, Weiqiang Wang, Yun Xiong, Xixi Wu, Xinyu Gao, Yongrui Fu, Jiawei Zhang |
| 2025 | GLOBECOM | Efficient Privacy-Preserving Outsourced K-Means Clustering via Secure Two-Party Computation. | Tengfei Liu, Zuxiang Mo, Xiaoli Liu, Anjia Yang |
| 2025 | ICONIP | GMamba: EEG Representation Learning from Spatiotemporal Perspectives via Graph Mamba. | Weiwei Feng, Nanqing Xu, Kaiyuan Zheng, Changtao Miao, Tengfei Liu, Weiqiang Wang |
| 2025 | IJCAI | Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement. | Weiwei Feng, Nanqing Xu, Tengfei Liu, Weiqiang Wang |
| 2025 | WCNC | Modeling Packet Loss of Low-Earth Orbit Satellite Networks. | Tengfei Liu, Tingting Wang, Ye Li, Jinwei Zhao, Ruifeng Gao, Jianping Pan |
| 2024 | CIKM | DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. | Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang |
| 2024 | ICDE | A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units. | Liyue Chen, Jiangyi Fang, Tengfei Liu, Shaosheng Cao, Leye Wang |
| 2023 | ICDM | Self-supervision meets kernel graph neural models: From architecture to augmentations. | Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang |
| 2023 | IJCNN | Zero-Shot Text Classification with Semantically Extended Textual Entailment. | Tengfei Liu, Yongli Hu, Puman Chen, Yanfeng Sun, Baocai Yin |
| 2022 | IJCNN | Hierarchical Multiple Granularity Attention Network for Long Document Classification. | Yongli Hu, Wen Ding, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin |
| 2021 | CIKM | Fraud Detection under Multi-Sourced Extremely Noisy Annotations. | Chuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han, Chen Gong |
| 2021 | IJCNN | Hierarchical Attention Transformer Networks for Long Document Classification. | Yongli Hu, Puman Chen, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin |
| 2020 | AAAI | Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. | Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang |
| 2020 | ICPR | Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network. | Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin |
| 2020 | IJCAI | Online Positive and Unlabeled Learning. | Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang |
| 2020 | KDD | SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks. | Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu |
| 2017 | IECON | Disturbance rejection control for single-rod electro-hydraulic servo system based on dual-extended-state-observer. | Tengfei Liu, Jianyong Yao, Xiangxin Liu, Lan Li |
| 2015 | ICDM | A Generic Energy Disaggregation Approach: What and When Electrical Appliances are Used. | Tengfei Liu, Xianghua Ding, Ning Gu |
| 2012 | UAI | A Model-Based Approach to Rounding in Spectral Clustering. | Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang |