Xiaolu Zhang
25 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 (56) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
π§
Keyword Pioneer
π€
Dynamic Duo
(19)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(7)
ποΈ
Keyword Collector
(148)
Venues
Top co-authors
Research topics
Machine Learning
(21)
Deep Learning
(14)
Artificial Intelligence
(12)
Core AI
(11)
Learning Types Β· Machine Learning
(11)
Optimization & Theory Β· Machine Learning
(10)
Models
(7)
Application Areas
(6)
Core Methods
(5)
Learning Types Β· Deep Learning
(5)
Optimization & Theory Β· Deep Learning
(4)
Computer Vision
(3)
Natural Language Processing
(3)
Resources & Methods
(3)
Security & Privacy
(2)
Keywords
adversarial attack
(5)
black-box attack
(3)
query efficiency
(3)
large language model
(3)
membership attack
(2)
network pruning
(2)
gradient estimation
(2)
convolutional neural network
(2)
neural network
(2)
bilevel optimization
(2)
stochastic gradient descent
(2)
masked diffusion model
(2)
model compression
(2)
differential privacy
(2)
face recognition
(2)
boundary attack
(2)
autonomous driving
(1)
preference optimization
(1)
model evaluation
(1)
in-context learning
(1)
Papers
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
ACL 2026
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
CVPR 2026
ReportLogic: Evaluating Logical Quality in Deep Research Reports
ACL 2026
BOSE: A Systematic Evaluation Method Optimized for Base Models
ACL 2025
Effective and Efficient Masked Image Generation Models
ICML 2025
NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations
ICCV 2025
Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary
EMNLP 2025
Efficient Model Stealing Defense with Noise Transition Matrix
CVPR 2024
Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
ICML 2024
Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization
NeurIPS 2024
Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models
NeurIPS 2024
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
ICML 2024
Towards Open Temporal Graph Neural Networks
ICLR 2023
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering
IJCAI 2022
Improving Transferability of Adversarial Patches on Face Recognition With Generative Models
CVPR 2021
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks
AISTATS 2021
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
ICML 2021
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
AAAI 2020
Dynamic Network Pruning with Interpretable Layerwise Channel Selection
AAAI 2020
Pruning from Scratch
AAAI 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack
CVPR 2020
AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot
IJCAI 2019
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification
AAAI 2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
NeurIPS 2019
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification
CVPR 2019