Shuang Qiu
21 papers · 2019–2026 · 7 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 (44) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(108)
Top co-authors
Research topics
Machine Learning
(15)
Artificial Intelligence
(9)
Reinforcement Learning
(9)
Methods
(9)
Core AI
(8)
Deep Learning
(7)
Learning Types Β· Machine Learning
(7)
Optimization & Theory
(7)
Natural Language Processing
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Resources & Methods
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Applications
(2)
Keywords
reinforcement learning
(6)
regret bound
(4)
upper confidence bound
(4)
large language model
(3)
neural network
(3)
markov decision process
(3)
offline reinforcement learning
(2)
function approximation
(2)
constraint violation
(2)
representation learning
(2)
exploration bonus
(2)
preference optimization
(2)
online learning
(2)
sample complexity
(2)
zero-sum markov game
(2)
optimal transport
(1)
sequential decision making
(1)
style transfer
(1)
episodic learning
(1)
contrastive learning
(1)
Papers
Self-Reflective Generation at Test Time
ACL 2026
SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration
CVPR 2026
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies
AAAI 2025
Online Preference Alignment for Language Models via Count-based Exploration
ICLR 2025
ROPO: Robust Preference Optimization for Large Language Models
ICML 2025
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
ICLR 2025
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards
ACL 2024
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach
JMLR 2024
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning
ICML 2024
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
ICML 2024
Gradient-Variation Bound for Online Convex Optimization with Constraints
AAAI 2023
Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics
ICLR 2023
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation
NeurIPS 2023
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
ICML 2022
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game
ICML 2021
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions
ICML 2021
Stylized Neural Painting
CVPR 2021
Low-Resource Generation of Multi-hop Reasoning Questions
ACL 2020
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
ICML 2020
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss
NeurIPS 2020
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee
AAAI 2019