Haoxiang Wang
18 papers · 2019–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (46) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π
Grand Slam
π
Renaissance Researcher
(6)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(108)
Venues
Top co-authors
Research topics
Machine Learning
(14)
Optimization & Theory
(11)
Artificial Intelligence
(7)
Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Application Areas
(4)
Architectures
(4)
Core AI
(4)
Mathematics & Optimization
(3)
Learning Paradigms
(3)
Optimization
(3)
Computer Vision
(2)
Core Methods
(2)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Keywords
reinforcement learning from human feedback
(3)
reward modeling
(2)
intermediate domain
(2)
gradual domain adaptation
(2)
few-shot learning
(2)
preference modeling
(2)
long short-term memory
(2)
speech emotion recognition
(2)
data augmentation
(1)
optimal transport
(1)
3d reconstruction
(1)
preference alignment
(1)
convex optimization
(1)
convergence analysis
(1)
domain adaptation
(1)
multi-task learning
(1)
neural architecture search
(1)
image editing
(1)
unsupervised domain adaptation
(1)
transfer learning
(1)
Papers
DuoGen: Towards Autonomous Interleaved Multimodal Generation
CVPR 2026
Active Treatment Effect Estimation via Limited Samples
ICML 2025
ImViD: Immersive Volumetric Videos for Enhanced VR Engagement
CVPR 2025
Neural Fluid Simulation on Geometric Surfaces
ICLR 2025
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards
ACL 2024
Gradual Domain Adaptation: Theory and Algorithms
JMLR 2024
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts
EMNLP 2024
Mitigating the Alignment Tax of RLHF
EMNLP 2024
Neural Physical Simulation with Multi-Resolution Hash Grid Encoding
AAAI 2024
Semi-Supervised Reward Modeling via Iterative Self-Training
EMNLP 2024
Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems
UAI 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
CVPR 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery
ICML 2022
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
ICML 2022
A Speech Emotion Recognition Framework for Better Discrimination of Confusions
Interspeech 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
ICML 2021
Graph Isomorphism Network for Speech Emotion Recognition
Interspeech 2021
Learning Positive Functions with Pseudo Mirror Descent
NeurIPS 2019