Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. - Shikun Li; Shiming Ge; Yingying Hua; Chunhui Zhang 001; Hao Wen; Tengfei Liu 007; Weiqiang Wang 002 (AAAI, 2020)

Online Positive and Unlabeled Learning. - Chuang Zhang; Chen Gong 002; Tengfei Liu 007; Xun Lu; Weiqiang Wang 002; Jian Yang 003 (IJCAI, 2020)

SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks. - Yao Zhang 009; Yun Xiong; Yun Ye; Tengfei Liu 007; Weiqiang Wang 002; Yangyong Zhu; Philip S. Yu (KDD, 2020)

Fraud Detection under Multi-Sourced Extremely Noisy Annotations. - Chuang Zhang; Qizhou Wang; Tengfei Liu 007; Xun Lu; Jin Hong; Bo Han 003; Chen Gong 002 (CIKM, 2021)

Self-supervision meets kernel graph neural models: From architecture to augmentations. - Jiawang Dan; Ruofan Wu; Yunpeng Liu; Baokun Wang; Changhua Meng; Tengfei Liu 007; Tianyi Zhang; Ningtao Wang; Xing Fu; Qi Li 002; Weiqiang Wang 002 (ICDM (Workshops), 2023)

Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. - Ruofan Wu; Jiawei Qiao; Mingzhe Wu; Wen Yu 002; Ming Zheng; Tengfei Liu 007; Tianyi Zhang; Weiqiang Wang 002 (NeurIPS, 2023)

FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks. - Qiying Pan; Ruofan Wu; Tengfei Liu 007; Tianyi Zhang; Yifei Zhu 001; Weiqiang Wang 002 (CoRR, 2023)

Privacy-preserving design of graph neural networks with applications to vertical federated learning. - Ruofan Wu; Mingyang Zhang 004; Lingjuan Lyu; Xiaolong Xu; Xiuquan Hao; Xinyi Fu; Tengfei Liu 007; Tianyi Zhang; Weiqiang Wang 002 (CoRR, 2023)

DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. - Xi Chen 072; Yun Xiong; Siwei Zhang 001; Jiawei Zhang 001; Yao Zhang 009; Shiyang Zhou; Xixi Wu; Mingyang Zhang 004; Tengfei Liu 007; Weiqiang Wang 002 (CIKM, 2024)

Resource-Aware Federated Self-Supervised Learning with Global Class Representations. - Mingyi Li; Xiao Zhang 015; Qi Wang; Tengfei Liu 007; Ruofan Wu; Weiqiang Wang 002; Fuzhen Zhuang; Hui Xiong 001; Dongxiao Yu (NeurIPS, 2024)

On provable privacy vulnerabilities of graph representations. - Ruofan Wu; Guanhua Fang; Mingyang Zhang 004; Qiying Pan; Tengfei Liu 007; Weiqiang Wang 002 (NeurIPS, 2024)

On provable privacy vulnerabilities of graph representations. - Ruofan Wu; Guanhua Fang; Qiying Pan; Mingyang Zhang 004; Tengfei Liu 007; Weiqiang Wang 002; Wenbiao Zhao (CoRR, 2024)

Towards Explainable Transaction Risk Analysis With Dual Graph Retrieval Augmented Generation. - Liang Su; Mingyang Zhang 004; Kangxiang Jia; Tengfei Liu 007; Weiqiang Wang 002; Yun Xiong; Xixi Wu; Xinyu Gao; Yongrui Fu; Jiawei Zhang 001 (CIKM, 2025)

GMamba: EEG Representation Learning from Spatiotemporal Perspectives via Graph Mamba. - Weiwei Feng; Nanqing Xu; Kaiyuan Zheng; Changtao Miao; Tengfei Liu 007; Weiqiang Wang 002 (ICONIP (3), 2025)

Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement. - Weiwei Feng; Nanqing Xu; Tengfei Liu 007; Weiqiang Wang 002 (IJCAI, 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 015; Jin Dong 004; Ruofan Wu; Tengfei Liu 007; Yifan Sun (CoRR, 2025)