Wanyu Lin - RankMe

74 papers A* 17A 2B 5Journal 49Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes. AAAI Haokai Hong, Wanyu Lin, Ming Yang, Kay Chen Tan
2026	A*	`conf`	Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction. AAAI Haowei Hua, Jingwen Yang, Wanyu Lin, Pan Zhou
2026	A*	`conf`	S-DAG: A Subject-Based Directed Acyclic Graph for Multi-Agent Heterogeneous Reasoning. AAAI Jiangwen Dong, Zehui Lin, Wanyu Lin, Mingjin Zhang
2025	B	`conf`	A Physics-Informed Evolutionary Transfer Optimization Framework for Material Design. CEC Cheng Chen, Haokai Hong, Wanyu Lin, Kay Chen Tan
2025	A*	`conf`	Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport. ICLR Haokai Hong, Wanyu Lin, Kc Tan
2025	J	`jnl`	Boosting Pseudo-Labeling With Curriculum Self-Reflection for Attributed Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. Pengfei Zhu, Jialu Li, Yu Wang, Bin Xiao, Jinglin Zhang, Wanyu Lin, Qinghua Hu
2025	J	`jnl`	Debiasing Graph Representation Learning Based on Information Bottleneck. IEEE Trans. Neural Networks Learn. Syst. Ziyi Zhang, Mingxuan Ouyang, Wanyu Lin, Hao Lan, Lei Yang
2025	J	`jnl`	Faithful Interpretation for Graph Neural Networks. Trans. Mach. Learn. Res. Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang
2025	J	`jnl`	FedMUA: Exploring the Vulnerabilities of Federated Learning to Malicious Unlearning Attacks. CoRR Jian Chen, Zehui Lin, Wanyu Lin, Wenlong Shi, Xiaoyan Yin, Di Wang
2025	J	`jnl`	Graph Privacy Funnel: A Variational Approach for Privacy-Preserving Representation Learning on Graphs. IEEE Trans. Dependable Secur. Comput. Wanyu Lin, Hao Lan, Jiannong Cao
2025	J	`jnl`	Graph-Relational Federated Learning: Enhanced Personalization and Robustness. IEEE Trans. Dependable Secur. Comput. Wanyu Lin, Hao Lan, Hao He, Baochun Li
2025	A*	`conf`	HPS: Hard Preference Sampling for Human Preference Alignment. ICML Xiandong Zou, Wanyu Lin, Yuchen Li, Pan Zhou
2025	J	`jnl`	HPS: Hard Preference Sampling for Human Preference Alignment. CoRR Xiandong Zou, Wanyu Lin, Yuchen Li, Pan Zhou
2025	J	`jnl`	HybridFlow: Adaptive Task Scheduling for Fast and Token-Efficient LLM Inference in Edge-Cloud Collaboration. CoRR Jiangwen Dong, Jiayu Li, Wanyu Lin
2025	J	`jnl`	Knowledge Grafting of Large Language Models. CoRR Guodong Du, Xuanning Zhou, Junlin Li, Zhuo Li, Zesheng Shi, Wanyu Lin, Ho-Kin Tang, Xiucheng Li, Fangming Liu, Wenya Wang, Min Zhang, Jing Li
2025	A*	`conf`	Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing. ICML Ye Du, Chen Yang, Nanxi Yu, Wanyu Lin, Qian Zhao, Shujun Wang
2025	J	`jnl`	Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing. CoRR Ye Du, Chen Yang, Nanxi Yu, Wanyu Lin, Qian Zhao, Shujun Wang
2025	J	`jnl`	Local-Global Associative Frames for Symmetry-Preserving Crystal Structure Modeling. CoRR Haowei Hua, Wanyu Lin
2025	J	`jnl`	Multistage Graph Convolutional Network With Spatial Attention for Multivariate Time Series Imputation. IEEE Trans. Neural Networks Learn. Syst. Qianyi Chen, Jiannong Cao, Yu Yang, Wanyu Lin, Sumei Wang, Youwu Wang
2025	J	`jnl`	Multiview Subgraph Neural Networks: Self-Supervised Learning With Scarce Labeled Data. IEEE Trans. Neural Networks Learn. Syst. Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan
2025	J	`jnl`	S-DAG: A Subject-Based Directed Acyclic Graph for Multi-Agent Heterogeneous Reasoning. CoRR Jiangwen Dong, Zehui Lin, Wanyu Lin, Mingjin Zhang
2025	A*	`conf`	Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration. ICML Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Ruipu Zhao, Zhoupeng Guo, Weihao Li, Qinghua Hu
2025	J	`jnl`	Take Your Pick: Enabling Effective Distributed Learning Within Low-Dimensional Feature Space. IEEE Trans. Neural Networks Learn. Syst. Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu, Xinghao Wu, Jiaxing Shen, Wanyu Lin
2025	J	`jnl`	The Compositional Architecture of Regret in Large Language Models. CoRR Xiangxiang Cui, Shu Yang, Tianjin Huang, Wanyu Lin, Lijie Hu, Di Wang
2025	J	`jnl`	The Diversity Bonus: Learning From Dissimilar Clients in Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. Xinghao Wu, Jianwei Niu, Xuefeng Liu, Guogang Zhu, Shaojie Tang, Wanyu Lin, Jiannong Cao
2025	J	`jnl`	Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons. CoRR Wenshuo Dong, Qingsong Yang, Shu Yang, Lijie Hu, Meng Ding, Wanyu Lin, Tianhang Zheng, Di Wang
2025	J	`jnl`	Unlearning Attacks for Regression Learning. IEEE Trans. Neural Networks Learn. Syst. Jian Chen, Wenlong Shi, Wanyu Lin, Chen Wang, Wei Liu, Hailong Sun, Gaoyang Liu
2025	J	`jnl`	Visible-thermal cross-modality class-incremental learning. Expert Syst. Appl. Xinjie Yao, Yingxue Wang, Yu Wang, Pengfei Zhu, Ruipu Zhao, Weihao Li, Shenglei Pei, Wanyu Lin
2024	J	`jnl`	Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networks. CoRR Changfu Xu, Jianxiong Guo, Wanyu Lin, Haodong Zou, Wentao Fan, Tian Wang, Xiaowen Chu, Jiannong Cao
2024	B	`conf`	Adaptive Personalized Federated Learning for Non-IID Data with Continual Distribution Shift. IWQoS Sisi Chen, Weijie Liu, Xiaoxi Zhang, Hong Xu, Wanyu Lin, Xu Chen
2024	J	`jnl`	Crystalline Material Discovery in the Era of Artificial Intelligence. CoRR Zhenzhong Wang, Haowei Hua, Wanyu Lin, Ming Yang, Kay Chen Tan
2024	J	`jnl`	DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in Graphs. CoRR Xindi Zheng, Yuwei Wu, Yu Pan, Wanyu Lin, Lei Ma, Jianjun Zhao
2024	J	`jnl`	Debiasing Graph Representation Learning based on Information Bottleneck. CoRR Ziyi Zhang, Mingxuan Ouyang, Wanyu Lin, Hao Lan, Lei Yang
2024	J	`jnl`	Diffusion-Driven Domain Adaptation for Generating 3D Molecules. CoRR Haokai Hong, Wanyu Lin, Kay Chen Tan
2024	J	`jnl`	Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models. CoRR Zhenzhong Wang, Zehui Lin, Wanyu Lin, Ming Yang, Minggang Zeng, Kay Chen Tan
2024	B	`conf`	Explanations for Graph Neural Networks using A Game-theoretic Value. IJCNN Xueting Qiao, Wanyu Lin, Mingxuan Ouyang, Ting Jiang, Ji Zhang
2024	J	`jnl`	Faithful Interpretation for Graph Neural Networks. CoRR Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang
2024	J	`jnl`	Fast 3D Molecule Generation via Unified Geometric Optimal Transport. CoRR Haokai Hong, Wanyu Lin, Kay Chen Tan
2024	J	`jnl`	Fast Crystal Tensor Property Prediction: A General O(3)-Equivariant Framework Based on Polar Decomposition. CoRR Haowei Hua, Wanyu Lin, Jingwen Yang
2024	J	`jnl`	Federated Class-Incremental Learning With Dynamic Feature Extractor Fusion. IEEE Trans. Mob. Comput. Yanyan Lu, Lei Yang, Hao-Rui Chen, Jiannong Cao, Wanyu Lin, Saiqin Long
2024	A*	`conf`	Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks. AAAI Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan
2024	J	`jnl`	Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data. CoRR Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan
2024	J	`jnl`	Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning. ACM Trans. Knowl. Discov. Data Jingke Tu, Jiaming Huang, Lei Yang, Wanyu Lin
2024	A*	`conf`	SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency. AAAI Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Wei Wang, Xiao-Ming Wu
2024	A*	`conf`	Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration. ICML Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu
2024	J	`jnl`	Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Wanyu Lin, Baochun Li
2024	J	`jnl`	Unveiling Molecular Secrets: An LLM-Augmented Linear Model for Explainable and Calibratable Molecular Property Prediction. CoRR Zhuoran Li, Xu Sun, Wanyu Lin, Jiannong Cao
2024	A*	`conf`	What Matters in Graph Class Incremental Learning? An Information Preservation Perspective. NeurIPS Jialu Li, Yu Wang, Pengfei Zhu, Wanyu Lin, Qinghua Hu
2023	J	`jnl`	A IEEE Trans. Inf. Forensics Secur. Xiaoyan Yin, Wanyu Lin, Kexin Sun, Chun Wei, Yanjiao Chen
2023	J	`jnl`	Improving Accuracy and Convergence in Group-Based Federated Learning on Non-IID Data. IEEE Trans. Netw. Sci. Eng. Ziqi He, Lei Yang, Wanyu Lin, Weigang Wu
2023	J	`jnl`	Personalized Federated Learning on Non-IID Data via Group-based Meta-learning. ACM Trans. Knowl. Discov. Data Lei Yang, Jiaming Huang, Wanyu Lin, Jiannong Cao
2023	J	`jnl`	Practical Differentially Private and Byzantine-resilient Federated Learning. CoRR Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang
2023	J	`jnl`	Practical Differentially Private and Byzantine-resilient Federated Learning. Proc. ACM Manag. Data Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang
2023	J	`jnl`	Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition. IEEE Trans. Inf. Forensics Secur. Kunlei Jing, Xinman Zhang, Chen Zhang, Wanyu Lin, Hebo Ma, Meng Pang, Bihan Wen
2023	A*	`conf`	Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. AAAI Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan
2023	J	`jnl`	SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency. CoRR Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Xiao-Ming Wu
2023	A	`conf`	SoftGPT: Learn Goal-Oriented Soft Object Manipulation Skills by Generative Pre-Trained Heterogeneous Graph Transformer. IROS Junjia Liu, Zhihao Li, Wanyu Lin, Sylvain Calinon, Kay Chen Tan, Fei Chen
2022	J	`jnl`	1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct). CoRR Hao Wang, Wanyu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang
2022	A*	`conf`	OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. CVPR Wanyu Lin, Hao Lan, Hao Wang, Baochun Li
2022	J	`jnl`	OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. CoRR Wanyu Lin, Hao Lan, Hao Wang, Baochun Li
2022	J	`jnl`	Towards Private Learning on Decentralized Graphs With Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. Wanyu Lin, Baochun Li, Cong Wang
2022	J	`jnl`	Towards Private Learning on Decentralized Graphs with Local Differential Privacy. CoRR Wanyu Lin, Baochun Li, Cong Wang
2021	A*	`conf`	Generative Causal Explanations for Graph Neural Networks. ICML Wanyu Lin, Hao Lan, Baochun Li
2021	J	`jnl`	Generative Causal Explanations for Graph Neural Networks. CoRR Wanyu Lin, Hao Lan, Baochun Li
2021	—	`conf`	Hierarchical Deep Reinforcement Learning for Multi-robot Cooperation in Partially Observable Environment. CogMI Zhixuan Liang, Jiannong Cao, Wanyu Lin, Jinlin Chen, Huafeng Xu
2021	A*	`conf`	Medley: Predicting Social Trust in Time-Varying Online Social Networks. INFOCOM Wanyu Lin, Baochun Li
2021	J	`jnl`	Privacy-Preserving Similarity Search With Efficient Updates in Distributed Key-Value Stores. IEEE Trans. Parallel Distributed Syst. Wanyu Lin, Helei Cui, Baochun Li, Cong Wang
2020	A	`conf`	Adversarial Attacks on Link Prediction Algorithms Based on Graph Neural Networks. AsiaCCS Wanyu Lin, Shengxiang Ji, Baochun Li
2020	A*	`conf`	Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks. INFOCOM Wanyu Lin, Zhaolin Gao, Baochun Li
2020	A*	`conf`	Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data. CVPR Wanyu Lin, Zhaolin Gao, Baochun Li
2019	J	`jnl`	Distributed Least Squares Estimation Algorithms Design for Sensor Networks. Ad Hoc Sens. Wirel. Networks Wanyu Lin, Jiannong Cao, Xuefeng Liu
2019	J	`jnl`	Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data. CoRR Wanyu Lin, Zhaolin Gao, Baochun Li
2017	B	`conf`	Multi-Client Searchable Encryption over Distributed Key-Value Stores. SMARTCOMP Wanyu Lin, Xu Yuan, Baochun Li, Cong Wang
2014	B	`conf`	E IWQoS Wanyu Lin, Jiannong Cao, Xuefeng Liu