| 2026 | AAAI | Biologically-Inspired Evolutionary Domain Symbiosis for Few-shot and Zero-shot Point Cloud Semantic Segmentation. | Changshuo Wang, Zhijian Hu, Xiang Fang, Zaiyang Yu, Yibin Wu, Mingkun Xu, Yusong Wang, Xingyu Gao, Prayag Tiwari |
| 2026 | AAAI | MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning. | Yusong Wang, Jialun Shen, Zhihao Wu, Yicheng Xu, Shiyin Tan, Mingkun Xu, Changshuo Wang, Zixing Song, Prayag Tiwari |
| 2026 | ACL | BMAM: Brain-inspired Multi-Agent Memory Framework. | Yang Li, Jiaxiang Liu, Yusong Wang, Yujie Wu, Mingkun Xu |
| 2026 | KSEM | S | Xian-Xian Liu, Weiling He, Amir H. Gandomi, Wei Luo, Juntao Gao, Mingkun Xu, Simon Fong, Jiang Cai |
| 2025 | AAAI | Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency. | Yuhong Chen, Ailin Song, Huifeng Yin, Shuai Zhong, Fuhai Chen, Qi Xu, Shiping Wang, Mingkun Xu |
| 2025 | AAAI | BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations. | Yusong Wang, Xuanye Fang, Huifeng Yin, Dongyuan Li, Guoqi Li, Qi Xu, Yi Xu, Shuai Zhong, Mingkun Xu |
| 2025 | CVPR | G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation. | Tianxing Chen, Yao Mu, Zhixuan Liang, Zanxin Chen, Shijia Peng, Qiangyu Chen, Mingkun Xu, Ruizhen Hu, Hongyuan Zhang, Xuelong Li, Ping Luo |
| 2025 | CVPR | RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins. | Yao Mu, Tianxing Chen, Zanxin Chen, Shijia Peng, Zhiqian Lan, Zeyu Gao, Zhixuan Liang, Qiaojun Yu, Yude Zou, Mingkun Xu, Lunkai Lin, Zhiqiang Xie, Mingyu Ding, Ping Luo |
| 2025 | ECAI | CogniSNN: An Exploration to Random Graph Architecture Based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity. | Yongsheng Huang, Peibo Duan, Zhipeng Liu, Kai Sun, Changsheng Zhang, Bin Zhang, Mingkun Xu |
| 2025 | ICASSP | ClingTP: Curriculum Learning based Multi-style Title Prefix Generation. | Yusong Wang, Dongyuan Li, Jialun Shen, Yicheng Xu, Shuai Zhong, Mingkun Xu |
| 2025 | ICML | Efficient ANN-SNN Conversion with Error Compensation Learning. | Chang Liu, Jiangrong Shen, Xuming Ran, Mingkun Xu, Qi Xu, Yi Xu, Gang Pan |
| 2025 | ICML | Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance. | Yusong Wang, Shiyin Tan, Jialun Shen, Yicheng Xu, Haobo Song, Qi Xu, Prayag Tiwari, Mingkun Xu |
| 2025 | IJCNN | Orchestrating Spiking Dynamics with Dendritic Activation Functionality for Bolstering Expressivity and Learning Efficiency. | Mingkun Xu, Runxi Tang, Yusong Wang, Shuai Zhong |
| 2024 | ACML | Orchestrating Plasticity and Stability: A Continual Knowledge Graph Embedding Framework with Bio-Inspired Dual-Mask Mechanism. | Ailin Song, Yuhong Chen, Yusong Wang, Shuai Zhong, Mingkun Xu |
| 2024 | EMNLP | LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation. | Yusong Wang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi, Manabu Okumura |
| 2024 | GLOBECOM | Advanced Real-Time IoMT System for Early Gastric Cancer Detection through Integrated Grid-Search Multimodal Gating Network and Robust Embedded Technology. | Xian-Xian Liu, Mingkun Xu, Yuanyuan Wei, Huifeng Yin, Simon Fong, Wei Luo, Juntao Gao |
| 2024 | PRICAI | FINE-LMT: Fine-Grained Feature Learning for Multi-modal Machine Translation. | Yusong Wang, Ying Zhang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi, Manabu Okumura |
| 2023 | CIKM | Exploiting Homeostatic Synaptic Modulation in Spiking Neural Networks for Semi-Supervised Graph Learning. | Mingkun Xu |
| 2022 | ICMI | Endowing Spiking Neural Networks with Homeostatic Adaptivity for APS-DVS Bimodal Scenarios. | Mingkun Xu, Faqiang Liu, Jing Pei |
| 2021 | IJCAI | Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. | Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei |