Wanyu Lin

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 34

Top Topics

Top Venues

IEEE Trans. Inf. Forensics Secur.

ACM Trans. Knowl. Discov. Data

Publications

Zhenzhong Wang, Zehui Lin, Wanyu Lin, Ming Yang, Minggang Zeng, Kay Chen Tan
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models. CoRR (2024)
Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks. AAAI (2024)
Haokai Hong, Wanyu Lin, Kay Chen Tan
Fast 3D Molecule Generation via Unified Geometric Optimal Transport. CoRR (2024)
Xindi Zheng, Yuwei Wu, Yu Pan, Wanyu Lin, Lei Ma, Jianjun Zhao
DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in Graphs. CoRR (2024)
Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Wei Wang, Xiao-Ming Wu
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency. AAAI (2024)
Jingke Tu, Jiaming Huang, Lei Yang, Wanyu Lin
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Haokai Hong, Wanyu Lin, Kay Chen Tan
Diffusion-Driven Domain Adaptation for Generating 3D Molecules. CoRR (2024)
Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data. CoRR (2024)
Wanyu Lin, Baochun Li
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang
Practical Differentially Private and Byzantine-resilient Federated Learning. CoRR (2023)
Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Xiao-Ming Wu
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency. CoRR (2023)
Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang
Practical Differentially Private and Byzantine-resilient Federated Learning. Proc. ACM Manag. Data 1 (2) (2023)
Ziqi He, Lei Yang, Wanyu Lin, Weigang Wu
Improving Accuracy and Convergence in Group-Based Federated Learning on Non-IID Data. IEEE Trans. Netw. Sci. Eng. 10 (3) (2023)
Lei Yang, Jiaming Huang, Wanyu Lin, Jiannong Cao
Personalized Federated Learning on Non-IID Data via Group-based Meta-learning. ACM Trans. Knowl. Discov. Data 17 (4) (2023)
Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. AAAI (2023)
Junjia Liu, Zhihao Li, Wanyu Lin, Sylvain Calinon, Kay Chen Tan, Fei Chen
SoftGPT: Learn Goal-Oriented Soft Object Manipulation Skills by Generative Pre-Trained Heterogeneous Graph Transformer. IROS (2023)
Xiaoyan Yin, Wanyu Lin, Kexin Sun, Chun Wei, Yanjiao Chen
-GNN: Rigging GNN-Based Social Status by Adversarial Attacks in Signed Social Networks. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Kunlei Jing, Xinman Zhang, Chen Zhang, Wanyu Lin, Hebo Ma, Meng Pang, Bihan Wen
Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Wanyu Lin, Baochun Li, Cong Wang
Towards Private Learning on Decentralized Graphs With Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Wanyu Lin, Hao Lan, Hao Wang, Baochun Li
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. CVPR (2022)
Wanyu Lin, Hao Lan, Hao Wang, Baochun Li
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. CoRR (2022)
Wanyu Lin, Baochun Li, Cong Wang
Towards Private Learning on Decentralized Graphs with Local Differential Privacy. CoRR (2022)
Hao Wang, Wanyu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang
1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct). CoRR (2022)
Wanyu Lin, Hao Lan, Baochun Li
Generative Causal Explanations for Graph Neural Networks. ICML (2021)
Wanyu Lin, Hao Lan, Baochun Li
Generative Causal Explanations for Graph Neural Networks. CoRR (2021)
Wanyu Lin, Helei Cui, Baochun Li, Cong Wang
Privacy-Preserving Similarity Search With Efficient Updates in Distributed Key-Value Stores. IEEE Trans. Parallel Distributed Syst. 32 (5) (2021)
Zhixuan Liang, Jiannong Cao, Wanyu Lin, Jinlin Chen, Huafeng Xu
Hierarchical Deep Reinforcement Learning for Multi-robot Cooperation in Partially Observable Environment. CogMI (2021)
Wanyu Lin, Baochun Li
Medley: Predicting Social Trust in Time-Varying Online Social Networks. INFOCOM (2021)
Wanyu Lin, Zhaolin Gao, Baochun Li
Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks. INFOCOM (2020)
Wanyu Lin, Zhaolin Gao, Baochun Li
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data. CVPR (2020)
Wanyu Lin, Shengxiang Ji, Baochun Li
Adversarial Attacks on Link Prediction Algorithms Based on Graph Neural Networks. AsiaCCS (2020)
Wanyu Lin, Jiannong Cao, Xuefeng Liu
Distributed Least Squares Estimation Algorithms Design for Sensor Networks. Ad Hoc Sens. Wirel. Networks 43 (1-2) (2019)
Wanyu Lin, Zhaolin Gao, Baochun Li
Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data. CoRR (2019)
Wanyu Lin, Xu Yuan, Baochun Li, Cong Wang
Multi-Client Searchable Encryption over Distributed Key-Value Stores. SMARTCOMP (2017)
Wanyu Lin, Jiannong Cao, Xuefeng Liu
: Towards energy-efficient distributed least squares estimation in sensor networks. IWQoS (2014)