← Authors

Ding Zhao

56 papers · 2019–2025 · 19 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (19) πŸƒ Academic Marathon (6) πŸ—ΊοΈ Taxonomy Completionist (74) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11) πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (16) 🧬 Topic Evolution πŸ’Ž Century Club (56) ❓ The Questioner (3) ⚑ Prolific Year (15) πŸ—ƒοΈ Keyword Collector (205) πŸ”₯ Unstoppable (7)

Conferences

NIPS (9) ICLR (7) ICML (7) INTERSPEECH (6) CORL (5) ACL (3) AISTATS (3) CVPR (3) MLHC (3) WACV (1) RSS (1) NAACL (1) L4DC (1) JMLR (1) IJCAI (1) EMNLP (1) ECCV (1) EACL (1) AAAI (1)

Top co-authors

ZUXIN LIU (16) Bo Li (16) Mengdi Xu (13) Jiacheng Zhu (13) Wenhao Ding (11) Zhepeng Cen (11) Jielin Qiu (9) Yihang Yao (9) William Han (7) Peide Huang (6)

Keywords

safe reinforcement learning (6) offline reinforcement learning (5) autonomous driving (5) variational inference (5) automatic speech recognition (4) domain adaptation (4) multimodal learning (4) optimal transport (4) constraint satisfaction (4) robust reinforcement learning (3) data augmentation (3) adversarial robustness (3) policy optimization (3) diffusion model (3) scenario generation (3) distribution shift (2) multi-objective optimization (2) adversarial training (2) wasserstein distance (2) multi-task learning (2)

Papers

LocoTouch: Learning Dynamic Quadrupedal Transport with Tactile Sensing CORL 2025
DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles AAAI 2025
ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling MLHC 2025
Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety ACL 2025
Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training ACL 2025
Causal Composition Diffusion Model for Closed-loop Traffic Generation CVPR 2025
Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining RSS 2025
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models ICLR 2024
Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024
Learning from Sparse Offline Datasets via Conservative Density Estimation ICLR 2024
Embodied Executable Policy Learning with Language-based Scene Summarization NAACL 2024
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm INTERSPEECH 2024
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations AISTATS 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NIPS 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning ICML 2024
MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos CVPR 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning NIPS 2024
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios ECCV 2024
Gradient shaping for multi-constraint safe reinforcement learning L4DC 2024
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer ICLR 2024
LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos WACV 2023
Learning Shared Safety Constraints from Multi-task Demonstrations NIPS 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning NIPS 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation NIPS 2023
Continual Vision-based Reinforcement Learning with Group Symmetries CORL 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery CORL 2023
SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment ACL 2023
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables AISTATS 2023
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? EACL 2023
Can Brain Signals Reveal Inner Alignment with Human Languages? EMNLP 2023
Hyper-Decision Transformer for Efficient Online Policy Adaptation ICLR 2023
On the Robustness of Safe Reinforcement Learning under Observational Perturbations ICLR 2023
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models ICML 2023
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data ICML 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning ICML 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023
Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision MLHC 2023
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning NIPS 2022
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles NIPS 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation NIPS 2022
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving CVPR 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training IJCAI 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks ICLR 2022
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing ICLR 2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning ICML 2022
Prompting Decision Transformer for Few-Shot Policy Generalization ICML 2022
Federated Pruning: Improving Neural Network Efficiency with Federated Learning INTERSPEECH 2022
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes INTERSPEECH 2022
Improve Speech Enhancement using Perception-High-Related Time-Frequency Loss INTERSPEECH 2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing CORL 2022
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation CORL 2022
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction MLHC 2022
Personalized Keyphrase Detection Using Speaker and Environment Information INTERSPEECH 2021
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 NIPS 2020
Shallow-Fusion End-to-End Contextual Biasing INTERSPEECH 2019