Xiaoyuan Zhang
17 papers · 2022–2026 · 8 venues · across top CS/AI venues
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Machine Learning
(12)
Optimization & Theory
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(7)
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multi-objective optimization
(7)
large language model
(4)
pareto set learning
(3)
pareto optimality
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gradient-based optimization
(2)
pareto front
(2)
pareto set
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model-based optimization
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pareto solution
(2)
preference optimization
(2)
multi-task learning
(1)
preference learning
(1)
direct preference optimization
(1)
preference alignment
(1)
adversarial learning
(1)
contrastive learning
(1)
policy gradient
(1)
vision-language alignment
(1)
policy optimization
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zero-shot learning
(1)
Papers
POLAR: A Portrait OLAT Dataset and Generative Framework for Illumination-Aware Face Modeling
CVPR 2026
Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs
ACL 2025
Differentiable Information Enhanced Model-Based Reinforcement Learning
AAAI 2025
Enhancing LLM-Based Social Bot via an Adversarial Learning Framework
EMNLP 2025
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
ICLR 2025
Multiobjective distribution matching
ICML 2025
Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits
AAAI 2025
TS-CLIP: Time Series Understanding by CLIP
EMNLP 2025
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
ICLR 2024
Gliding over the Pareto Front with Uniform Designs
NeurIPS 2024
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
NeurIPS 2024
Off-Agent Trust Region Policy Optimization
IJCAI 2024
Panacea: Pareto Alignment via Preference Adaptation for LLMs
NeurIPS 2024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
ICML 2024
Continuation Path Learning for Homotopy Optimization
ICML 2023
Hypervolume Maximization: A Geometric View of Pareto Set Learning
NeurIPS 2023
Pareto Set Learning for Expensive Multi-Objective Optimization
NeurIPS 2022