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ORCIDWanyu Lin
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2020 – today
- 2024
[j11]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): 99:1-99:21 (2024)- [j10]Yanyan Lu, Lei Yang, Hao-Rui Chen, Jiannong Cao, Wanyu Lin, Saiqin Long:
Federated Class-Incremental Learning With Dynamic Feature Extractor Fusion. IEEE Trans. Mob. Comput. 23(12): 12969-12982 (2024) - [j9]Wanyu Lin, Baochun Li:
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4580-4592 (2024) - [c17]Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Wei Wang, Xiao-Ming Wu:
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency. AAAI 2024: 5327-5335 - [c16]Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan:
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks. AAAI 2024: 21690-21698 - [c15]Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu:
Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration. ICML 2024 - [c14]Xueting Qiao, Wanyu Lin, Mingxuan Ouyang, Ting Jiang, Ji Zhang:
Explanations for Graph Neural Networks using A Game-theoretic Value. IJCNN 2024: 1-8 - [c13]Sisi Chen, Weijie Liu, Xiaoxi Zhang, Hong Xu, Wanyu Lin, Xu Chen:
Adaptive Personalized Federated Learning for Non-IID Data with Continual Distribution Shift. IWQoS 2024: 1-6 - [c12]Jialu Li, Yu Wang, Pengfei Zhu, Wanyu Lin, Qinghua Hu:
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective. NeurIPS 2024 - [i18]Haokai Hong, Wanyu Lin, Kay Chen Tan:
Diffusion-Driven Domain Adaptation for Generating 3D Molecules. CoRR abs/2404.00962 (2024) - [i17]Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan:
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data. CoRR abs/2404.12569 (2024) - [i16]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 abs/2404.17164 (2024) - [i15]Haokai Hong, Wanyu Lin, Kay Chen Tan:
Fast 3D Molecule Generation via Unified Geometric Optimal Transport. CoRR abs/2405.15252 (2024) - [i14]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 abs/2405.16041 (2024) - [i13]Zhenzhong Wang, Haowei Hua, Wanyu Lin, Ming Yang, Kay Chen Tan:
Crystalline Material Discovery in the Era of Artificial Intelligence. CoRR abs/2408.08044 (2024) - [i12]Ziyi Zhang, Mingxuan Ouyang, Wanyu Lin, Hao Lan, Lei Yang:
Debiasing Graph Representation Learning based on Information Bottleneck. CoRR abs/2409.01367 (2024) - [i11]Haowei Hua, Wanyu Lin, Jingwen Yang:
Fast Crystal Tensor Property Prediction: A General O(3)-Equivariant Framework Based on Polar Decomposition. CoRR abs/2410.02372 (2024) - [i10]Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang:
Faithful Interpretation for Graph Neural Networks. CoRR abs/2410.06950 (2024) - [i9]Zhuoran Li, Xu Sun, Wanyu Lin, Jiannong Cao:
Unveiling Molecular Secrets: An LLM-Augmented Linear Model for Explainable and Calibratable Molecular Property Prediction. CoRR abs/2410.08829 (2024) - [i8]Changfu Xu, Jianxiong Guo, Wanyu Lin, Haodong Zou, Wentao Fan, Tian Wang, Xiaowen Chu, Jiannong Cao:
Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networks. CoRR abs/2412.18212 (2024) - 2023
- [j8]Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang:
Practical Differentially Private and Byzantine-resilient Federated Learning. Proc. ACM Manag. Data 1(2): 119:1-119:26 (2023) - [j7]Xiaoyan Yin, Wanyu Lin, Kexin Sun, Chun Wei, Yanjiao Chen:
A2S2-GNN: Rigging GNN-Based Social Status by Adversarial Attacks in Signed Social Networks. IEEE Trans. Inf. Forensics Secur. 18: 206-220 (2023) - [j6]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: 5431-5446 (2023) - [j5]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): 49:1-49:20 (2023) - [j4]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): 1389-1404 (2023) - [c11]Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan:
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. AAAI 2023: 15224-15232 - [c10]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: 4920-4925 - [i7]Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Xiao-Ming Wu:
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency. CoRR abs/2303.07033 (2023) - [i6]Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang:
Practical Differentially Private and Byzantine-resilient Federated Learning. CoRR abs/2304.09762 (2023) - 2022
- [j3]Wanyu Lin, Baochun Li, Cong Wang:
Towards Private Learning on Decentralized Graphs With Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17: 2936-2946 (2022) - [c9]Wanyu Lin, Hao Lan, Hao Wang, Baochun Li:
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. CVPR 2022: 13719-13728 - [i5]Wanyu Lin, Baochun Li, Cong Wang:
Towards Private Learning on Decentralized Graphs with Local Differential Privacy. CoRR abs/2201.09398 (2022) - [i4]Wanyu Lin, Hao Lan, Hao Wang, Baochun Li:
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. CoRR abs/2203.15209 (2022) - [i3]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 abs/2210.03612 (2022) - 2021
- [j2]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): 1072-1084 (2021) - [c8]Zhixuan Liang, Jiannong Cao, Wanyu Lin, Jinlin Chen, Huafeng Xu:
Hierarchical Deep Reinforcement Learning for Multi-robot Cooperation in Partially Observable Environment. CogMI 2021: 272-281 - [c7]Wanyu Lin, Hao Lan, Baochun Li:
Generative Causal Explanations for Graph Neural Networks. ICML 2021: 6666-6679 - [c6]Wanyu Lin, Baochun Li:
Medley: Predicting Social Trust in Time-Varying Online Social Networks. INFOCOM 2021: 1-10 - [i2]Wanyu Lin, Hao Lan, Baochun Li:
Generative Causal Explanations for Graph Neural Networks. CoRR abs/2104.06643 (2021) - 2020
- [c5]Wanyu Lin, Shengxiang Ji, Baochun Li:
Adversarial Attacks on Link Prediction Algorithms Based on Graph Neural Networks. AsiaCCS 2020: 370-380 - [c4]Wanyu Lin, Zhaolin Gao, Baochun Li:
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data. CVPR 2020: 4173-4181 - [c3]Wanyu Lin, Zhaolin Gao, Baochun Li:
Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks. INFOCOM 2020: 914-923
2010 – 2019
- 2019
- [j1]Wanyu Lin, Jiannong Cao, Xuefeng Liu:
Distributed Least Squares Estimation Algorithms Design for Sensor Networks. Ad Hoc Sens. Wirel. Networks 43(1-2): 85-108 (2019) - [i1]Wanyu Lin, Zhaolin Gao, Baochun Li:
Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data. CoRR abs/1910.12976 (2019) - 2017
- [c2]Wanyu Lin, Xu Yuan, Baochun Li, Cong Wang:
Multi-Client Searchable Encryption over Distributed Key-Value Stores. SMARTCOMP 2017: 1-7 - 2014
- [c1]Wanyu Lin, Jiannong Cao, Xuefeng Liu:
E3: Towards energy-efficient distributed least squares estimation in sensor networks. IWQoS 2014: 21-30
Coauthor Index
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