Wanyu Lin

According to our database, Wanyu Lin authored at least 42 papers between 2014 and 2024.

Collaborative distances:

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

2024

Federated Class-Incremental Learning With Dynamic Feature Extractor Fusion.

Yanyan Lu, Lei Yang, Hao-Rui Chen, Jiannong Cao, Wanyu Lin, Saiqin Long

IEEE Trans. Mob. Comput., December, 2024

Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning.

Jingke Tu, Jiaming Huang, Lei Yang, Wanyu Lin

ACM Trans. Knowl. Discov. Data, May, 2024

Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks.

Wanyu Lin, Baochun Li

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networks.

Changfu Xu, Jianxiong Guo, Wanyu Lin, Haodong Zou, Wentao Fan, Tian Wang, Xiaowen Chu, Jiannong Cao

CoRR, 2024

Unveiling Molecular Secrets: An LLM-Augmented Linear Model for Explainable and Calibratable Molecular Property Prediction.

Zhuoran Li, Xu Sun, Wanyu Lin, Jiannong Cao

CoRR, 2024

Faithful Interpretation for Graph Neural Networks.

Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang

CoRR, 2024

Fast Crystal Tensor Property Prediction: A General O(3)-Equivariant Framework Based on Polar Decomposition.

Haowei Hua, Wanyu Lin, Jingwen Yang

CoRR, 2024

Debiasing Graph Representation Learning based on Information Bottleneck.

Ziyi Zhang, Mingxuan Ouyang, Wanyu Lin, Hao Lan, Lei Yang

CoRR, 2024

Crystalline Material Discovery in the Era of Artificial Intelligence.

Zhenzhong Wang, Haowei Hua, Wanyu Lin, Ming Yang, Kay Chen Tan

CoRR, 2024

Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models.

Zhenzhong Wang, Zehui Lin, Wanyu Lin, Ming Yang, Minggang Zeng, Kay Chen Tan

CoRR, 2024

Fast 3D Molecule Generation via Unified Geometric Optimal Transport.

Haokai Hong, Wanyu Lin, Kay Chen Tan

CoRR, 2024

DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in Graphs.

Xindi Zheng, Yuwei Wu, Yu Pan, Wanyu Lin, Lei Ma, Jianjun Zhao

CoRR, 2024

Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data.

Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan

CoRR, 2024

Diffusion-Driven Domain Adaptation for Generating 3D Molecules.

Haokai Hong, Wanyu Lin, Kay Chen Tan

CoRR, 2024

Adaptive Personalized Federated Learning for Non-IID Data with Continual Distribution Shift.

Sisi Chen, Weijie Liu, Xiaoxi Zhang, Hong Xu, Wanyu Lin, Xu Chen

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Explanations for Graph Neural Networks using A Game-theoretic Value.

Xueting Qiao, Wanyu Lin, Mingxuan Ouyang, Ting Jiang, Ji Zhang

Proceedings of the International Joint Conference on Neural Networks, 2024

Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration.

Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks.

Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency.

Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Wei Wang, Xiao-Ming Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Personalized Federated Learning on Non-IID Data via Group-based Meta-learning.

Lei Yang, Jiaming Huang, Wanyu Lin, Jiannong Cao

ACM Trans. Knowl. Discov. Data, May, 2023

Improving Accuracy and Convergence in Group-Based Federated Learning on Non-IID Data.

Ziqi He, Lei Yang, Wanyu Lin, Weigang Wu

IEEE Trans. Netw. Sci. Eng., 2023

A²S²-GNN: Rigging GNN-Based Social Status by Adversarial Attacks in Signed Social Networks.

Xiaoyan Yin, Wanyu Lin, Kexin Sun, Chun Wei, Yanjiao Chen

IEEE Trans. Inf. Forensics Secur., 2023

Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition.

Kunlei Jing, Xinman Zhang, Chen Zhang, Wanyu Lin, Hebo Ma, Meng Pang, Bihan Wen

IEEE Trans. Inf. Forensics Secur., 2023

Practical Differentially Private and Byzantine-resilient Federated Learning.

Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang

Proc. ACM Manag. Data, 2023

SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency.

Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Xiao-Ming Wu

CoRR, 2023

SoftGPT: Learn Goal-Oriented Soft Object Manipulation Skills by Generative Pre-Trained Heterogeneous Graph Transformer.

Junjia Liu, Zhihao Li, Wanyu Lin, Sylvain Calinon, Kay Chen Tan, Fei Chen

IROS, 2023

Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs.

Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Towards Private Learning on Decentralized Graphs With Local Differential Privacy.

Wanyu Lin, Baochun Li, Cong Wang

IEEE Trans. Inf. Forensics Secur., 2022

1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct).

Hao Wang, Wanyu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang

CoRR, 2022

OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.

Wanyu Lin, Hao Lan, Hao Wang, Baochun Li

CoRR, 2022

OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.

Wanyu Lin, Hao Lan, Hao Wang, Baochun Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Privacy-Preserving Similarity Search With Efficient Updates in Distributed Key-Value Stores.

Wanyu Lin, Helei Cui, Baochun Li, Cong Wang

IEEE Trans. Parallel Distributed Syst., 2021

Medley: Predicting Social Trust in Time-Varying Online Social Networks.

Wanyu Lin, Baochun Li

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Generative Causal Explanations for Graph Neural Networks.

Wanyu Lin, Hao Lan, Baochun Li

Proceedings of the 38th International Conference on Machine Learning, 2021

Hierarchical Deep Reinforcement Learning for Multi-robot Cooperation in Partially Observable Environment.

Zhixuan Liang, Jiannong Cao, Wanyu Lin, Jinlin Chen, Huafeng Xu

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

2020

Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks.

Wanyu Lin, Zhaolin Gao, Baochun Li

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data.

Wanyu Lin, Zhaolin Gao, Baochun Li

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adversarial Attacks on Link Prediction Algorithms Based on Graph Neural Networks.

Wanyu Lin, Shengxiang Ji, Baochun Li

Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

2019

Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data.

Wanyu Lin, Zhaolin Gao, Baochun Li

CoRR, 2019

Distributed Least Squares Estimation Algorithms Design for Sensor Networks.

Wanyu Lin, Jiannong Cao, Xuefeng Liu

Ad Hoc Sens. Wirel. Networks, 2019

2017

Multi-Client Searchable Encryption over Distributed Key-Value Stores.

Wanyu Lin, Xu Yuan, Baochun Li, Cong Wang

Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017

2014

E³: Towards energy-efficient distributed least squares estimation in sensor networks.

Wanyu Lin, Jiannong Cao, Xuefeng Liu

Proceedings of the IEEE 22nd International Symposium of Quality of Service, 2014