Dongqi Han
11 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Academic Marathon (5) π Cross-Pollinator (11) πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge
π
Conference Polyglot
(4)
π
Triple Crown
β
The Questioner
π
Century Club
(11)
Conferences
ICLR (4)
ICML (3)
NIPS (3)
CVPR (1)
Top co-authors
Keywords
neural network architecture
(1)
representation learning
(1)
zero-shot learning
(1)
image generation
(1)
natural language processing
(1)
text classification
(1)
function approximation
(1)
direct preference optimization
(1)
preference alignment
(1)
gradient descent
(1)
information transmission
(1)
signal propagation
(1)
generative model
(1)
diffusion model
(1)
spiking neural network
(1)
sequential modeling
(1)
vision-language model
(1)
hallucination mitigation
(1)
positional encoding
(1)
central pattern generator
(1)
Papers
What Makes a Good Diffusion Planner for Decision Making?
ICLR 2025
Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
CVPR 2025
Habitizing Diffusion Planning for Efficient and Effective Decision Making
ICML 2025
Addressing Signal Delay in Deep Reinforcement Learning
ICLR 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
ICML 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
NIPS 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
NIPS 2024
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
ICML 2023
Variational oracle guiding for reinforcement learning
ICLR 2022
Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
NIPS 2020
Variational Recurrent Models for Solving Partially Observable Control Tasks
ICLR 2020