Tengfei Liu - RankMe

19 papers A* 7A 3Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	GMamba: EEG Representation Learning from Spatiotemporal Perspectives via Graph Mamba. ICONIP (3) Weiwei Feng, Nanqing Xu, Kaiyuan Zheng, Changtao Miao, Tengfei Liu, Weiqiang Wang
2025	A*	`conf`	Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement. IJCAI Weiwei Feng, Nanqing Xu, Tengfei Liu, Weiqiang Wang
2025	J	`jnl`	Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data. CoRR Wei Guo, Yiyang Duan, Zhaojun Hu, Yiqi Tong, Fuzhen Zhuang, Xiao Zhang, Jin Dong, Ruofan Wu, Tengfei Liu, Yifan Sun
2025	A	`conf`	Towards Explainable Transaction Risk Analysis With Dual Graph Retrieval Augmented Generation. CIKM Liang Su, Mingyang Zhang, Kangxiang Jia, Tengfei Liu, Weiqiang Wang, Yun Xiong, Xixi Wu, Xinyu Gao, Yongrui Fu, Jiawei Zhang
2024	A	`conf`	DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. CIKM Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang
2024	J	`jnl`	DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. CoRR Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang
2024	A*	`conf`	On provable privacy vulnerabilities of graph representations. NeurIPS Ruofan Wu, Guanhua Fang, Mingyang Zhang, Qiying Pan, Tengfei Liu, Weiqiang Wang
2024	J	`jnl`	On provable privacy vulnerabilities of graph representations. CoRR Ruofan Wu, Guanhua Fang, Qiying Pan, Mingyang Zhang, Tengfei Liu, Weiqiang Wang, Wenbiao Zhao
2024	A*	`conf`	Resource-Aware Federated Self-Supervised Learning with Global Class Representations. NeurIPS Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu
2023	J	`jnl`	FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks. CoRR Qiying Pan, Ruofan Wu, Tengfei Liu, Tianyi Zhang, Yifei Zhu, Weiqiang Wang
2023	A*	`conf`	Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. NeurIPS Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang
2023	J	`jnl`	Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. CoRR Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang
2023	J	`jnl`	Privacy-preserving design of graph neural networks with applications to vertical federated learning. CoRR Ruofan Wu, Mingyang Zhang, Lingjuan Lyu, Xiaolong Xu, Xiuquan Hao, Xinyi Fu, Tengfei Liu, Tianyi Zhang, Weiqiang Wang
2023	—	`conf`	Self-supervision meets kernel graph neural models: From architecture to augmentations. ICDM (Workshops) Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang
2023	J	`jnl`	Self-supervision meets kernel graph neural models: From architecture to augmentations. CoRR Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang
2021	A	`conf`	Fraud Detection under Multi-Sourced Extremely Noisy Annotations. CIKM Chuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han, Chen Gong
2020	A*	`conf`	Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. AAAI Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, Weiqiang Wang
2020	A*	`conf`	Online Positive and Unlabeled Learning. IJCAI Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang
2020	A*	`conf`	SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks. KDD Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu