| 2026 | AAAI | Attention to Threat-Relevant Objects: Reasoning Detection in Autonomous Driving via Multimodal Large Language Models. | Yulin He, Wei Chen, Xinbiao Gan, Siqi Wang, Haotian Wang, Yusong Tan |
| 2026 | AAAI | KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning. | Lingyun Song, Ziyao Chen, Kang Pan, Xiaolin Han, Xinbiao Gan, Yudai Pan, Xiaofan Sun, Xiaoqi Wang, Xuequn Shang |
| 2026 | ICDE | Robust Spatial-Temporal Similar Trajectory Search via Structure-Enhanced Domain-Invariant Learning. | Xiaolin Han, Yonghao Zhou, Chenhao Ma, Lingyun Song, Xinbiao Gan, Xuequn Shang |
| 2025 | CVPR | Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning. | Yuzhuo Dai, Jiaqi Jin, Zhibin Dong, Siwei Wang, Xinwang Liu, En Zhu, Xihong Yang, Xinbiao Gan, Yu Feng |
| 2025 | ICPADS | AACoT: Chain-of-Thought Fine-Tuning via Associative Memory and Adaptive Error Correction. | Ruiyue Wang, Lingyun Song, Xinbiao Gan, Yudai Pan, Xuequn Shang |
| 2025 | IJCAI | Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning. | Lingyun Song, Haodong Li, Siyu Chen, Xinbiao Gan, Binze Shi, Jie Ma, Yudai Pan, Xiaoqi Wang, Xuequn Shang |
| 2025 | IJCAI | Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction. | Lingyun Song, Xiaofan Sun, Xinbiao Gan, Yudai Pan, Xiaolin Han, Jie Ma, Jun Liu, Xuequn Shang |
| 2025 | ICS | YH-Light: Yielding Hierarchy-aware Partitioner for Large-scale Graph Processing. | Xinbiao Gan, Tiejun Li, Chunye Gong, Jie Liu, Kai Lu |
| 2025 | WWW | GraphCom: Communication Hierarchy-aware Graph Engine for Distributed Model Training. | Xinbiao Gan, Tiejun Li, Liang Wu, Qiang Zhang, Lingyun Song, Bo Yang, Jie Liu, Kai Lu |
| 2025 | WWW | GraphCSR: A Space and Time-Efficient Sparse Matrix Representation for Web-scale Graph Processing. | Xinbiao Gan, Tiejun Li, Qiang Zhang, Guang Wu, Bo Yang, Chunye Gong, Jie Liu, Kai Lu |
| 2025 | SC | TianheEngine: Hierarchy-aware Adaptive Partitioning System for Trillion-scale Graph Processing. | Xinbiao Gan, Tiejun Li, Yiqi Wang, Qiang Zhang, Yongming Yi, Chunye Gong, Jie Liu, Kai Lu |
| 2024 | CCGRID | TianheStar: Orchestrating SSSP Applications on Tianhe Supercomputer. | Xinbiao Gan, Qian Tang, Feng Xiong, Shijie Li, Bo Yang, Tiejun Li |
| 2024 | DASFAA | MatchBG: A Boundary Subgraph-Based Maximal Matching Algorithm for Bipartite Graphs. | Guang Wu, Xinbiao Gan |
| 2024 | ICPP | SuperCSR: A Space-Time-Efficient CSR Representation for Large-scale Graph Applications on Supercomputers. | Xinbiao Gan, Tiejun Li, Qiang Zhang, Bo Yang, Xinhai Chen, Jie Liu |
| 2024 | IJCNN | Unsupervised Graph Anomaly Detection on Directed Attribute Network. | Haoyang Li, Siwei Wang, Xinwang Liu, Xinbiao Gan |
| 2024 | PPoPP | GraphCube: Interconnection Hierarchy-aware Graph Processing. | Xinbiao Gan, Guang Wu, Shenghao Qiu, Feng Xiong, Jiaqi Si, Jianbin Fang, Dezun Dong, Chunye Gong, Tiejun Li, Zheng Wang |
| 2023 | ICS | FT-topo: Architecture-Driven Folded-Triangle Partitioning for Communication-efficient Graph Processing. | Xinbiao Gan, Guang Wu, Ruigeng Zeng, Jiaqi Si, Ji Liu, Daxiang Dong, Chunye Gong, Cong Liu, Tiejun Li |
| 2022 | HPCC | TianheQueries: Ultra-Fast and Scalable Graph Queries on Tianhe Supercomputer. | Xinbiao Gan, Guang Wu, Cong Liu, Jiaqi Si, Xuguang Chen, Bo Yang, Tiejun Li |
| 2022 | ICDE | XTree: Traversal-Based Partitioning for Extreme-Scale Graph Processing on Supercomputers. | Xinbiao Gan, Yiming Zhang, Ruigeng Zeng, Jie Liu, Ruibo Wang, Tiejun Li, Li Chen, Kai Lu |
| 2022 | ICPADS | STEGNN: Spatial-Temporal Embedding Graph Neural Networks for Road Network Forecasting. | Jiaqi Si, Xinbiao Gan, Tiaojie Xiao, Bo Yang, Dezun Dong, Zhengbin Pang |
| 2022 | ISPA | GreenBFS: Space-Efficient BFS Engine for Power-aware Graph Processing. | Xinbiao Gan, Peilin Guo, Guang Wu, Tiejun Li |
| 2022 | SC | vGraph: Memory-Efficient Multicore Graph Processing for Traversal-Centric Algorithms. | Menghan Jia, Yiming Zhang, Xinbiao Gan, Dongsheng Li, Erci Xu, Ruibo Wang, Kai Lu |
| 2021 | ICA3PP | NEPG: Partitioning Large-Scale Power-Law Graphs. | Jiaqi Si, Xinbiao Gan, Hao Bai, Dezun Dong, Zhengbin Pang |
| 2021 | NPC | XSP: Fast SSSP Based on Communication-Computation Collaboration. | Xinbiao Gan, Wen Tan, Menghan Jia, Jie Liu, Yiming Zhang |
| 2019 | ICPP | The Communication-Overlapped Hybrid Decomposition Parallel Algorithm for Multi-Scale Fluid Simulations. | Yi Liu, Xiaowei Guo, Chao Li, Canqun Yang, Xinbiao Gan, Peng Zhang, Yi Wang, Ran Zhao, Sijiang Fan |