| 2026 | AAAI | Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing. | Suyu Liu, Zhiguang Cao, Nan Yin, Yew-Soon Ong |
| 2026 | AAAI | Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning. | Yingxu Wang, Mengzhu Wang, Zhichao Huang, Suyu Liu, Nan Yin |
| 2026 | ACL | TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question Answering. | Yingxu Wang, Jiaxin Huang, Mengzhu Wang, Nan Yin |
| 2026 | WWW | KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection. | Yifan Wang, Haodong Zhang, Zhiping Xiao, Yusheng Zhao, Siyu Yi, Nan Yin, Xinwang Liu, Ming Zhang, Wei Ju |
| 2025 | AAAI | Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors. | Xiao Teng, Long Lan, Dingyao Chen, Kele Xu, Nan Yin |
| 2025 | AAAI | CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting. | Haoxin Wang, Yipeng Mo, Kunlan Xiang, Nan Yin, Honghe Dai, Bixiong Li, Songhai Fan, Site Mo |
| 2025 | ACL | Nested-Refinement Metamorphosis: Reflective Evolution for Efficient Optimization of Networking Problems. | Shuhan Guo, Nan Yin, James Kwok, Quanming Yao |
| 2025 | ACL | A Survey on Efficient Large Language Model Training: From Data-centric Perspectives. | Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang |
| 2025 | ICML | GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation. | Mengzhu Wang, Houcheng Su, Jiao Li, Chuan Li, Nan Yin, Li Shen, Jingcai Guo |
| 2025 | IJCAI | Unified Molecule-Text Language Model with Discrete Token Representation. | Shuhan Guo, Yatao Bian, Ruibing Wang, Nan Yin, Zhen Wang, Quanming Yao |
| 2025 | IJCAI | ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation. | Jiao Li, Houcheng Su, Bingli Wang, Yuandong Min, Mengzhu Wang, Nan Yin, Shanshan Wang, Jingcai Guo |
| 2025 | IJCAI | Gaussian Mixture Model for Graph Domain Adaptation. | Mengzhu Wang, Wenhao Ren, Yu Zhang, Yanlong Fan, Dianxi Shi, Luoxi Jing, Nan Yin |
| 2025 | IJCAI | Coupling Category Alignment for Graph Domain Adaptation. | Nan Yin, Xiao Teng, Zhiguang Cao, Mengzhu Wang |
| 2024 | AAAI | Dynamic Spiking Graph Neural Networks. | Nan Yin, Mengzhu Wang, Zhenghan Chen, Giulia De Masi, Huan Xiong, Bin Gu |
| 2024 | ICLR | DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption. | Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen, Huan Xiong, Bin Gu, Xiao Luo |
| 2024 | ICML | Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. | Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao |
| 2023 | ICML | CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification. | Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo |
| 2022 | ICDE | Dynamic Hypergraph Convolutional Network. | Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua |
| 2021 | ICANN | Entity-Aware Biaffine Attention for Constituent Parsing. | Xinyi Bai, Nan Yin, Xiang Zhang, Xin Wang, Zhigang Luo |
| 2021 | ICONIP | A Focally Discriminative Loss for Unsupervised Domain Adaptation. | Dongting Sun, Mengzhu Wang, Xurui Ma, Tianming Zhang, Nan Yin, Wei Yu, Zhigang Luo |