Qixin Zhang
13 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (28) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
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Renaissance Researcher
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Research topics
Machine Learning
(10)
Optimization & Theory
(8)
Artificial Intelligence
(6)
Mathematics & Optimization
(6)
Optimization
(6)
Core AI
(4)
Deep Learning
(3)
Reinforcement Learning
(2)
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(2)
Methods
(2)
Computer Science
(1)
Knowledge & Reasoning
(1)
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(1)
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Bayesian & Probabilistic
(1)
Keywords
regret bound
(5)
large language model
(2)
stochastic gradient
(1)
online learning
(1)
kl divergence
(1)
test-time adaptation
(1)
continuous optimization
(1)
continuous relaxation
(1)
nearest neighbor
(1)
resource allocation
(1)
variance reduction
(1)
convergence
(1)
bandit feedback
(1)
subset selection
(1)
margin condition
(1)
submodular
(1)
probabilistic framework
(1)
online allocation
(1)
reinforcement learning
(1)
stochastic optimization
(1)
Papers
Optimization and Robustness-Informed Membership Inference Attacks for LLMs
AAAI 2026
Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety
ACL 2026
Self-Reflective Generation at Test Time
ACL 2026
When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models
CVPR 2026
Contextual Bandits for Unbounded Context Distributions
ICML 2025
Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints
ICML 2025
Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency
ICLR 2025
Refining Adaptive Zeroth-Order Optimization at Ease
ICML 2025
Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
ICML 2025
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests
ICML 2023
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback
AISTATS 2023
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function
ICML 2022
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
ICML 2021