| 2026 | AAAI | S-DAG: A Subject-Based Directed Acyclic Graph for Multi-Agent Heterogeneous Reasoning. | Jiangwen Dong, Zehui Lin, Wanyu Lin, Mingjin Zhang |
| 2026 | AAAI | Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes. | Haokai Hong, Wanyu Lin, Ming Yang, Kay Chen Tan |
| 2026 | AAAI | Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction. | Haowei Hua, Jingwen Yang, Wanyu Lin, Pan Zhou |
| 2026 | INFOCOM | The Aggregated Model is a Confounder: Enabling Deconfounded Federated Learning for OOD Generalization. | Jiayuan Zhang, Xuefeng Liu, Jianwei Niu, Haotian Yang, Wanyu Lin, Xinghao Wu |
| 2025 | CEC | A Physics-Informed Evolutionary Transfer Optimization Framework for Material Design. | Cheng Chen, Haokai Hong, Wanyu Lin, Kay Chen Tan |
| 2025 | ICCV | Backdoor Defense via Enhanced Splitting and Trap Isolation. | Hongrui Yu, Lu Qi, Wanyu Lin, Jian Chen, Hailong Sun, Chengbin Sun |
| 2025 | ICLR | Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport. | Haokai Hong, Wanyu Lin, KC Tan |
| 2025 | ICML | Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing. | Ye Du, Chen Yang, Nanxi Yu, Wanyu Lin, Qian Zhao, Shujun Wang |
| 2025 | ICML | Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration. | Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Ruipu Zhao, Zhoupeng Guo, Weihao Li, Qinghua Hu |
| 2025 | ICML | HPS: Hard Preference Sampling for Human Preference Alignment. | Xiandong Zou, Wanyu Lin, Yuchen Li, Pan Zhou |
| 2024 | AAAI | SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency. | Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Wei Wang, Xiao-Ming Wu |
| 2024 | AAAI | Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks. | Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan |
| 2024 | ICML | Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration. | Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu |
| 2024 | IJCNN | Explanations for Graph Neural Networks using A Game-theoretic Value. | Xueting Qiao, Wanyu Lin, Mingxuan Ouyang, Ting Jiang, Ji Zhang |
| 2024 | IWQoS | Adaptive Personalized Federated Learning for Non-IID Data with Continual Distribution Shift. | Sisi Chen, Weijie Liu, Xiaoxi Zhang, Hong Xu, Wanyu Lin, Xu Chen |
| 2023 | AAAI | Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. | Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan |
| 2023 | IROS | 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 |
| 2022 | CVPR | OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. | Wanyu Lin, Hao Lan, Hao Wang, Baochun Li |
| 2021 | ICML | Generative Causal Explanations for Graph Neural Networks. | Wanyu Lin, Hao Lan, Baochun Li |
| 2021 | INFOCOM | Medley: Predicting Social Trust in Time-Varying Online Social Networks. | Wanyu Lin, Baochun Li |
| 2020 | CCS | Adversarial Attacks on Link Prediction Algorithms Based on Graph Neural Networks. | Wanyu Lin, Shengxiang Ji, Baochun Li |
| 2020 | CVPR | Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data. | Wanyu Lin, Zhaolin Gao, Baochun Li |
| 2020 | INFOCOM | Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks. | Wanyu Lin, Zhaolin Gao, Baochun Li |
| 2017 | SmartComp | Multi-Client Searchable Encryption over Distributed Key-Value Stores. | Wanyu Lin, Xu Yuan, Baochun Li, Cong Wang |
| 2014 | IWQoS | E | Wanyu Lin, Jiannong Cao, Xuefeng Liu |