| 2026 | AAAI | GROVER: Graph-guided Representation of Omics and Vision with Expert Regulation for Adaptive Spatial Multi-omics Fusion. | Yongjun Xiao, Dian Meng, Xinlei Huang, Yanran Liu, Shiwei Ruan, Ziyue Qiao, Xubin Zheng |
| 2026 | AAAI | Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data. | Wei Zhang, Siyu Yi, Lezhi Chen, Yifan Wang, Ziyue Qiao, Yongdao Zhou, Wei Ju |
| 2026 | ACL | Evolving Sparsity: Leveraging Token Importance Dynamics for Efficient LLM Decoding with Sparse Attention. | Ruizi Han, Miao Zhang, Ziyue Qiao, Liqiang Nie |
| 2026 | ACL | Calibrating Inference Time Alignment with Sequence-level Risk Accumulation. | Shanwen Tan, Ziyang Dong, Wei Ju, Yiwei Fu, Hao Wu, Kun Wang, Yifan Wang, Ziyue Qiao |
| 2026 | ACL | DANCE: Diversity-attended Dynamic Caching with Asymmetric Quantization for Test-time Adaptation of Vision-Language Models. | Shunge Zou, Changhu Wang, Wei Ju, Ziyue Qiao, Xiao Luo |
| 2026 | KDD | DisCo: Diffusion-guided Unbiased Discriminative Learning for Unsupervised Graph Domain Adaptation. | Haodong Zhang, Tao Ren, Changhu Wang, Yifan Wang, Wei Ju, Huaizhi Tang, Junyu Luo, Zimo Wang, Ziyue Qiao, Xian-Sheng Hua, Xiao Luo |
| 2026 | WWW | Graph Cross-Domain Continual Fine-Tuning via Orthogonal LoRA Routing with Contrastive Expert Specialization. | Qianyi Cai, Ziyue Qiao, Minghao Yang, Xiao Luo, Hui Xiong |
| 2026 | WWW | Long-Tailed Recognition of Evidential Experts for Graph-level Classification. | Wei Ju, Siyu Yi, Zhengyang Mao, Yifang Qin, Yifan Wang, Zhiping Xiao, Yiwei Fu, Ziyue Qiao, Ming Zhang |
| 2026 | WWW | Shift-Resilient Diffusive Imputation for Variable Subset Forecasting. | Haihua Xu, Qi Hao, He Zhang, Jianpeng Zhao, Ziyue Qiao, Lu Jiang, Pengfei Wang, Yingjie Zhou, Pengyang Wang |
| 2025 | AAAI | PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis. | Xinlei Huang, Zhiqi Ma, Dian Meng, Yanran Liu, Shiwei Ruan, Qingqiang Sun, Xubin Zheng, Ziyue Qiao |
| 2025 | AAAI | Cluster-guided Contrastive Class-imbalanced Graph Classification. | Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang |
| 2025 | AAAI | Single-View Graph Contrastive Learning with Soft Neighborhood Awareness. | Qingqiang Sun, Chaoqi Chen, Ziyue Qiao, Xubin Zheng, Kai Wang |
| 2025 | ACL | Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning. | Hao Dong, Ziyue Qiao, Zhiyuan Ning, Qi Hao, Yi Du, Pengyang Wang, Yuanchun Zhou |
| 2025 | ACL | A Survey on Foundation Language Models for Single-cell Biology. | Fan Zhang, Hao Chen, Zhihong Zhu, Ziheng Zhang, Zhenxi Lin, Ziyue Qiao, Yefeng Zheng, Xian Wu |
| 2025 | CIKM | On the Cross-type Homophily of Heterogeneous Graphs: Understanding and Unleashing. | Zhen Tao, Ziyue Qiao, Chaoqi Chen, Zhengyi Yang, Lun Du, Qingqiang Sun |
| 2025 | GLOBECOM | Reinforcement Learning Based Edge-Assisted Dynamic Inference for Mobile Vision. | Yu Liu, Liang Xiao, Tuhao Li, Zefang Lv, Ziyue Qiao, Hui Xiong |
| 2025 | ICCV | Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention. | Jiawei Gu, Ziyue Qiao, Zechao Li |
| 2025 | ICDE | Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies. | Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long, Ziyue Qiao, Min Wu, Yanjie Fu, Yuanchun Zhou, Meng Xiao |
| 2025 | ICLR | Towards Continuous Reuse of Graph Models via Holistic Memory Diversification. | Ziyue Qiao, Junren Xiao, Qingqiang Sun, Meng Xiao, Xiao Luo, Hui Xiong |
| 2025 | ICML | Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis. | Weiyu Guo, Ziyue Qiao, Ying Sun, Yijie Xu, Hui Xiong |
| 2025 | ICML | GCAL: Adapting Graph Models to Evolving Domain Shifts. | Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong |
| 2025 | IJCAI | NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration. | Jiawei Gu, Ziyue Qiao, Xiao Luo |
| 2025 | IJCAI | SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps. | Jiawei Gu, Ziyue Qiao, Zechao Li |
| 2025 | IJCAI | PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment. | Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Bei Wu, Ziyue Qiao, Chenwei Tang, Jiancheng Lv |
| 2025 | IJCAI | Rethinking Graph Contrastive Learning Through Relative Similarity Preservation. | Zhiyuan Ning, Pengfei Wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou |
| 2023 | IJCAI | Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. | Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu |
| 2023 | IJCAI | Semi-supervised Domain Adaptation in Graph Transfer Learning. | Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong |
| 2023 | SDM | Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. | Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu |
| 2022 | ICDM | Kernel-based Substructure Exploration for Next POI Recommendation. | Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang |
| 2022 | IJCNN | Adaptive Harmony Learning and Optimization for Attributed Graph Clustering. | Daqing Wu, Xiangyang Guo, Xiao Luo, Ziyue Qiao, Jinwen Ma |
| 2021 | AAAI | Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract). | Ziyue Qiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou |
| 2021 | APWEB | Data Augmentation for Graph Convolutional Network on Semi-supervised Classification. | Zhengzheng Tang, Ziyue Qiao, Xuehai Hong, Yang Wang, Fayaz Ali Dharejo, Yuanchun Zhou, Yi Du |
| 2021 | ICDM | Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. | Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou |
| 2021 | PAKDD | LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding. | Zhiyuan Ning, Ziyue Qiao, Hao Dong, Yi Du, Yuanchun Zhou |
| 2020 | ICDM | Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. | Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou |