Wenhao Ding
16 papers · 2018–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(11)
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The Questioner
π₯
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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Keyword Collector
(75)
Top co-authors
Research topics
Artificial Intelligence
(12)
Core AI
(11)
Machine Learning
(7)
Reinforcement Learning
(6)
Methods
(5)
Learning Types
(4)
Deep Learning
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Knowledge & Reasoning
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Domain-Specific
(2)
Models
(2)
Reasoning
(2)
Keywords
offline reinforcement learning
(3)
autonomous driving
(3)
variational inference
(2)
scenario generation
(2)
causal discovery
(2)
distribution shift
(2)
safety-critical scenario
(2)
sim-to-real transfer
(1)
online learning
(1)
multi-task learning
(1)
embedding learning
(1)
attention mechanism
(1)
time-frequency analysis
(1)
trajectory prediction
(1)
causal reasoning
(1)
robust reinforcement learning
(1)
deep learning
(1)
conditional generation
(1)
policy learning
(1)
domain generalization
(1)
Papers
Counterfactual VLA: Self-Reflective Vision-Language-Action Model with Adaptive Reasoning
CVPR 2026
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models
CVPR 2025
Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning
MICCAI 2025
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
NeurIPS 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
NeurIPS 2024
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios
ECCV 2024
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
ICML 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
NeurIPS 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery
CoRL 2023
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation
CoRL 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
NeurIPS 2022
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
NeurIPS 2022
Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems
AISTATS 2021
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
NeurIPS 2020
Multi-Scale Time-Frequency Attention for Acoustic Event Detection
Interspeech 2019
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks
Interspeech 2018