Tengfei Liu

According to our database, Tengfei Liu authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data.

Wei Guo, Yiyang Duan, Zhaojun Hu, Yiqi Tong, Fuzhen Zhuang, Xiao Zhang, Jin Dong, Ruofan Wu, Tengfei Liu, Yifan Sun

CoRR, July, 2025

Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement.

Weiwei Feng, Nanqing Xu, Tengfei Liu, Weiqiang Wang

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

GMamba: EEG Representation Learning from Spatiotemporal Perspectives via Graph Mamba.

Weiwei Feng, Nanqing Xu, Kaiyuan Zheng, Changtao Miao, Tengfei Liu, Weiqiang Wang

Proceedings of the Neural Information Processing - 32nd International Conference, 2025

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

On provable privacy vulnerabilities of graph representations.

Ruofan Wu, Guanhua Fang, Qiying Pan, Mingyang Zhang, Tengfei Liu, Weiqiang Wang, Wenbiao Zhao

CoRR, 2024

On provable privacy vulnerabilities of graph representations.

Ruofan Wu, Guanhua Fang, Mingyang Zhang, Qiying Pan, Tengfei Liu, Weiqiang Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Resource-Aware Federated Self-Supervised Learning with Global Class Representations.

Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Privacy-preserving design of graph neural networks with applications to vertical federated learning.

Ruofan Wu, Mingyang Zhang, Lingjuan Lyu, Xiaolong Xu, Xiuquan Hao, Xinyi Fu, Tengfei Liu, Tianyi Zhang, Weiqiang Wang

CoRR, 2023

FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks.

Qiying Pan, Ruofan Wu, Tengfei Liu, Tianyi Zhang, Yifei Zhu, Weiqiang Wang

CoRR, 2023

Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions.

Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the IEEE International Conference on Data Mining, 2023

2021

Fraud Detection under Multi-Sourced Extremely Noisy Annotations.

Chuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han, Chen Gong

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Online Positive and Unlabeled Learning.

Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Coupled-View Deep Classifier Learning from Multiple Noisy Annotators.

Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020