Dongqi Han

Senior Researcher

论文与出版物

查看方式：

- SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
  
  Yimu Zhang, Dongqi Han, Yansen Wang, Zhenning Lv, Yu Gu, Dongsheng Li
  
  NeurIPS 2025 | December 2025
  
  Preprint
- What Makes a Good Diffusion Planner for Decision Making?
  
  Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
  
  ICLR 2025 | March 2025
  
  Publication
- Habitizing Diffusion Planning for Efficient and Effective Decision Making
  
  Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
  
  2025 International Conference on Machine Learning | February 2025
  
  Publication
- Toward Relative Positional Encoding in Spiking Transformers
  
  Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2025 | January 2025
  
  DOI Publication Publication
- Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
  
  Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li
  
  2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | January 2025, pp. 10610-10620
  
  DOI Publication Publication
- Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
  
  Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
  
  NPJ Parkinson's Disease | December 2024, 第 10 卷
  
  DOI Publication Publication
- Addressing Signal Delay in Deep Reinforcement Learning
  
  Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
  
  ICLR 2024 | May 2024
  
  PDF Publication Github
- Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
  
  Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2024 | May 2024
  
  Publication Github
- Synergizing habits and goals with variational Bayes
  
  Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
  
  Nature Communications | May 2024
  
  Publication
- Understanding and Improving Training-free Loss-based Diffusion Guidance
  
  Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
  
  NeurIPS 2024 | March 2024
  
  Publication
- Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
  
  Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  ICML 2024 | February 2024
  
  DOI Publication Github
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 2023
  
  Publication
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  2022 International Conference on Learning Representations | March 2022
  
  Publication
- Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
  
  Dongqi Han, Erik De Schutter, Sungho Hong
  
  2020 Neural Information Processing Systems | December 2020
  
  Publication
- Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks
  
  Dongqi Han, Kenji Doya, Jun Tani
  
  Neural Networks | September 2020, 第 129 卷: pp. 149-162
  
  Publication
- Variational Recurrent Models for Solving Partially Observable Control Tasks
  
  Dongqi Han, Kenji Doya, Jun Tani
  
  2020 International Conference on Learning Representations | May 2020
  
  Publication

- SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
  
  Yimu Zhang, Dongqi Han, Yansen Wang, Zhenning Lv, Yu Gu, Dongsheng Li
  
  NeurIPS 2025 | December 2025
  
  Preprint
- What Makes a Good Diffusion Planner for Decision Making?
  
  Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
  
  ICLR 2025 | March 2025
  
  Publication
- Habitizing Diffusion Planning for Efficient and Effective Decision Making
  
  Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
  
  2025 International Conference on Machine Learning | February 2025
  
  Publication
- Toward Relative Positional Encoding in Spiking Transformers
  
  Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2025 | January 2025
  
  DOI Publication Publication
- Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
  
  Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li
  
  2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | January 2025, pp. 10610-10620
  
  DOI Publication Publication
- Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
  
  Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
  
  NPJ Parkinson's Disease | December 2024, 第 10 卷
  
  DOI Publication Publication
- Addressing Signal Delay in Deep Reinforcement Learning
  
  Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
  
  ICLR 2024 | May 2024
  
  PDF Publication Github
- Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
  
  Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2024 | May 2024
  
  Publication Github
- Synergizing habits and goals with variational Bayes
  
  Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
  
  Nature Communications | May 2024
  
  Publication
- Understanding and Improving Training-free Loss-based Diffusion Guidance
  
  Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
  
  NeurIPS 2024 | March 2024
  
  Publication
- Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
  
  Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  ICML 2024 | February 2024
  
  DOI Publication Github
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 2023
  
  Publication
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  2022 International Conference on Learning Representations | March 2022
  
  Publication
- Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
  
  Dongqi Han, Erik De Schutter, Sungho Hong
  
  2020 Neural Information Processing Systems | December 2020
  
  Publication
- Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks
  
  Dongqi Han, Kenji Doya, Jun Tani
  
  Neural Networks | September 2020, 第 129 卷: pp. 149-162
  
  Publication
- Variational Recurrent Models for Solving Partially Observable Control Tasks
  
  Dongqi Han, Kenji Doya, Jun Tani
  
  2020 International Conference on Learning Representations | May 2020
  
  Publication
- Understanding and Improving Training-free Loss-based Diffusion Guidance
  
  Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
  
  NeurIPS 2024 | March 2024
  
  Publication

- SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
  
  Yimu Zhang, Dongqi Han, Yansen Wang, Zhenning Lv, Yu Gu, Dongsheng Li
  
  NeurIPS 2025 | December 2025
  
  Preprint
- What Makes a Good Diffusion Planner for Decision Making?
  
  Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
  
  ICLR 2025 | March 2025
  
  Publication
- Habitizing Diffusion Planning for Efficient and Effective Decision Making
  
  Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
  
  2025 International Conference on Machine Learning | February 2025
  
  Publication
- Toward Relative Positional Encoding in Spiking Transformers
  
  Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2025 | January 2025
  
  DOI Publication Publication
- Addressing Signal Delay in Deep Reinforcement Learning
  
  Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
  
  ICLR 2024 | May 2024
  
  PDF Publication Github
- Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
  
  Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2024 | May 2024
  
  Publication Github
- Understanding and Improving Training-free Loss-based Diffusion Guidance
  
  Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
  
  NeurIPS 2024 | March 2024
  
  Publication
- Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
  
  Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  ICML 2024 | February 2024
  
  DOI Publication Github
- CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
  
  Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
  
  ICML 2023 | August 2023
  
  Publication
- Variational oracle guiding for reinforcement learning
  
  Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
  
  2022 International Conference on Learning Representations | March 2022
  
  Publication
- Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
  
  Dongqi Han, Erik De Schutter, Sungho Hong
  
  2020 Neural Information Processing Systems | December 2020
  
  Publication
- Variational Recurrent Models for Solving Partially Observable Control Tasks
  
  Dongqi Han, Kenji Doya, Jun Tani
  
  2020 International Conference on Learning Representations | May 2020
  
  Publication
- Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
  
  Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li
  
  2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | January 2025, pp. 10610-10620
  
  DOI Publication Publication
- Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach
  
  Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Chencheng Zhang, V. Vardhanabhuti, Dongsheng Li, Lili Qiu
  
  NPJ Parkinson's Disease | December 2024, 第 10 卷
  
  DOI Publication Publication
- Synergizing habits and goals with variational Bayes
  
  Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
  
  Nature Communications | May 2024
  
  Publication
- Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks
  
  Dongqi Han, Kenji Doya, Jun Tani
  
  Neural Networks | September 2020, 第 129 卷: pp. 149-162
  
  Publication

Dongqi Han

论文与出版物

SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation

What Makes a Good Diffusion Planner for Decision Making?

Habitizing Diffusion Planning for Efficient and Effective Decision Making

Toward Relative Positional Encoding in Spiking Transformers

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach

Addressing Signal Delay in Deep Reinforcement Learning

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators

Synergizing habits and goals with variational Bayes

Understanding and Improving Training-free Loss-based Diffusion Guidance

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling

Variational oracle guiding for reinforcement learning

Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks

Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks

Variational Recurrent Models for Solving Partially Observable Control Tasks

SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation

What Makes a Good Diffusion Planner for Decision Making?

Habitizing Diffusion Planning for Efficient and Effective Decision Making

Toward Relative Positional Encoding in Spiking Transformers

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach

Addressing Signal Delay in Deep Reinforcement Learning

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators

Synergizing habits and goals with variational Bayes

Understanding and Improving Training-free Loss-based Diffusion Guidance

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling

Variational oracle guiding for reinforcement learning

Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks

Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks

Variational Recurrent Models for Solving Partially Observable Control Tasks

Understanding and Improving Training-free Loss-based Diffusion Guidance

SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation

What Makes a Good Diffusion Planner for Decision Making?

Habitizing Diffusion Planning for Efficient and Effective Decision Making

Toward Relative Positional Encoding in Spiking Transformers

Addressing Signal Delay in Deep Reinforcement Learning

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators

Understanding and Improving Training-free Loss-based Diffusion Guidance

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling

Variational oracle guiding for reinforcement learning

Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks

Variational Recurrent Models for Solving Partially Observable Control Tasks

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

Personalized progression modelling and prediction in Parkinson’s disease with a novel multi-modal graph approach

Synergizing habits and goals with variational Bayes

Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks