Xueqian Wang
19 papers · 2022–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (10) π Renaissance Researcher (7)
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Triple Crown
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Century Club
(19)
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Prolific Year
(7)
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Keyword Collector
(68)
Conferences
ICLR (4)
ICML (3)
AAAI (2)
CVPR (2)
IJCAI (2)
NIPS (2)
CORL (1)
EMNLP (1)
ICCV (1)
WACV (1)
Top co-authors
Research topics
Keywords
visual reinforcement learning
(3)
sample efficiency
(2)
data augmentation
(2)
federated learning
(2)
sharpness aware minimization
(2)
non-convex optimization
(2)
decentralized learning
(2)
gradient perturbation
(2)
domain generalization
(1)
multi-branch networks
(1)
divergence minimization
(1)
autonomous driving
(1)
surface normal estimation
(1)
policy learning
(1)
zero-shot learning
(1)
constraint satisfaction
(1)
in-context learning
(1)
loss landscape
(1)
text-to-image generation
(1)
scene reconstruction
(1)
Papers
Global-Guided Focal Neural Radiance Field for Large-Scale Scene Rendering
WACV 2025
Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer
ICML 2025
Safety Reasoning with Guidelines
ICML 2025
Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization
AAAI 2025
FOSP: Fine-tuning Offline Safe Policy through World Models
ICLR 2025
Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions
ICLR 2025
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
ICLR 2024
Decentralized Directed Collaboration for Personalized Federated Learning
CVPR 2024
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems
EMNLP 2024
Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots
ICLR 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
NIPS 2023
PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training
CORL 2023
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks
AAAI 2023
Make Landscape Flatter in Differentially Private Federated Learning
CVPR 2023
Transparent Shape from a Single View Polarization Image
ICCV 2023
Improving the Model Consistency of Decentralized Federated Learning
ICML 2023
Donβt Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning
IJCAI 2022
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
IJCAI 2022
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning
NIPS 2022