Yuanhao Xiong
14 papers · 2019–2026 · 9 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 (37) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Dynamic Duo
(11)
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Grand Slam
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Mega-Team Β· Squad
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Renaissance Researcher
(6)
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Keyword Collector
(64)
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Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(9)
Machine Learning
(9)
Artificial Intelligence
(8)
Optimization & Theory Β· Machine Learning
(7)
Core AI
(6)
Learning Types Β· Deep Learning
(6)
Learning Types Β· Machine Learning
(3)
Computer Vision
(2)
Architectures
(2)
Learning Paradigms
(2)
Optimization & Theory Β· Deep Learning
(2)
Processing
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Keywords
reinforcement learning
(2)
neural network optimization
(2)
contrastive learning
(2)
deep reinforcement learning
(1)
zero-shot learning
(1)
iterative optimization
(1)
text classification
(1)
temporal modeling
(1)
kernel density estimation
(1)
video captioning
(1)
self-supervised learning
(1)
multimodal learning
(1)
multi-label classification
(1)
video understanding
(1)
instruction following
(1)
action recognition
(1)
instruction tuning
(1)
distribution matching
(1)
differential privacy
(1)
federated learning
(1)
Papers
AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following
ACL 2026
Ameliorate Spurious Correlations in Dataset Condensation
ICML 2024
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding
ICLR 2024
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks
EMNLP 2024
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
CVPR 2023
Training Meta-Surrogate Model for Transferable Adversarial Attack
AAAI 2023
Efficient Non-Parametric Optimizer Search for Diverse Tasks
NeurIPS 2022
Extreme Zero-Shot Learning for Extreme Text Classification
NAACL 2022
Learning to Learn with Smooth Regularization
ECCV 2022
Learning to Schedule Learning rate with Graph Neural Networks
ICLR 2022
Improved Adversarial Training via Learned Optimizer
ECCV 2020
Learning to Learn by Zeroth-Order Oracle
ICLR 2020
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control
AAAI 2020
Adaptive Gradient Methods with Dynamic Bound of Learning Rate
ICLR 2019