肖蓉

Dr. Rong Xiao is an Associate Research Fellow and Ph.D. Supervisor at the College of Artificial Intelligence, Sichuan University. She was selected for the 2023 Sichuan Provincial Young Sci-Tech Talent Program, the “Tianfu Qingcheng Plan.” She obtained her Ph.D. from Sichuan University in 2021 and then joined Sichuan University. Her primary research focuses on neuromorphic computing, spiking neural networks, event cameras, neuromorphic embodied intelligence, and memory-based large models. She has published more than 40 peer-reviewed papers in the AI field and holds over 10 patent applications. She has led or participated in more than 10 national and provincial projects in artificial intelligence.

• 教育经历
  2017-09 至 2021-06, 四川大学，计算机科学与技术，博士，导师：唐华锦
  2016-09 至 2017-06, 四川大学，计算机科学与技术，硕士，导师：唐华锦
  2012-09 至 2016-06，四川大学，软件工程，学士
• 学术经历
  AI领域发表论文40余篇、申请专利10余项
  担任IEEE、AAAI、Neurocomputing、等多个会议审稿人

• 获得2024腾讯开悟平台的强化学习实践教学二等奖和 腾讯开悟人工智能全球公开赛季军
• 获得 IJCAI 2025 SpikeCV国际挑战赛三等奖
• 获得2026通义千问智能Agent 创新大赛二等奖
• 获得2026年腾讯开悟人工智能全球公开赛四川省一等奖
• 获批四川省高等学校第二批高阶课程《数据科学引论》
• 20th International Symposiumon Neural Networks最佳学生论文奖
• 部分项目：
  [1]基于神经可塑性的脉冲神经网络多尺度表征和学习算法研究，国家自然科学青年基金项目，主持
  [2]面向神经形态视觉的脉冲神经网络编码和学习算法研究，四川省自然科学基金项目，主持
  [3]基于脉冲计算的颞骨CT/MRI融合诊断和内耳畸形精准分型研究，中国博士后科学基金面上项目，主持
  [4]面向开放动态环境的类脑具身智能主动认知模型，脑认知与类脑智能全国重点实验室开放课题，主持
  [5]类脑感知-决策脉冲神经网络模型与算法，四川省博新人才支持项目，主持

• Rong Xiao, Zhiyuan Hu, Ping He et al.OT-SAN: One Timestep Spiking Actor Network with Mask-Adaptive Global Connection and Dynamic Thresholds[J].IEEE Transactions on Image Processing,2026
• Feiyu An, Rong Xiao^# et al.EvFlow-GS: Event Enhanced Motion Deblurring with Optical Flow for 3D Gaussian Splatting[C].ICME 2026.
• Ping He,Rong Xiao^#, Wanying Xu,Chenwei Tang, Shudong Huang,Huajin Tang.S3Net: Spatiotemporally separated sparse network for neuromorphic vision processing[C]. AAAI, 2026.
• Zhiyuan Hu, Ping He, Wanying Xu, Rong Xiao^#, Chenwei Tang, Jiancheng Lv, Huajin Tang. One Timestep Spiking Actor Network with Adaptive Global-connected Encoding and Threshold Learning[C],ICASSP 2026.
• Yufei Deng, Yuanjian Wang, Chenwei Tang, Jiahao Fan, Rong Xiao^#. EBAD-GS: Deblurring Gaussian Splatting with Event-Driven Bundle Adjustment[C]. ICASSP 2026.
• Yuanjian Wang, Yufei Deng, Rong Xiao^#, Jiahao Fan, Chenwei Tang, Deng Xiong, Jiancheng Lv*.SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields[C]. IJCNN，2025.
• Rong Xiao, Zhiyuan Hu, Jie Zhang, Chenwei Tang, Jiancheng Lv; Multi-attribute Dynamic Attenuation Learning Improved Spiking Actor Network, Neurocomputing, 2025, 614: 12819
• Rong Xiao,Limiao Ning, Yixuan Wang, Huajun Du, Sen Wang, Rui Yan. Asymmetric Spatio-Temporal Online Learning for Deep Spiking Neural Networks[J]. IEEE Transactions on Cognitive and Developmental Systems, 2023.
• Rong Xiao, Tianyu Geng. A Supervised Learning Algorithm for Learning Precise Timing of Multispike in Multilayer Spiking Neural Networks[C]. International Conference on Neural Information Processing, 2020.
• Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang. Fast and accurate classification with a multi-spike learning algorithm for spiking neurons[C].IJCAI,2019: 1445-1451.