Xuanqing Liu
12 papers · 2018–2025 · 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 (24) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π€
Dynamic Duo
(10)
π
Conference Pioneer
β
The Questioner
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(54)
Top co-authors
Research topics
Machine Learning
(10)
Learning Types
(6)
Optimization & Theory
(6)
Core Methods
(4)
Artificial Intelligence
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Core AI
(2)
Generation Β· Natural Language Processing
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Applications
(1)
Architectures
(1)
Generation Β· Computer Vision
(1)
Keywords
adversarial attack
(3)
adversarial perturbation
(2)
neural ordinary differential equation
(2)
adversarial training
(2)
data poisoning
(1)
preference learning
(1)
semi-supervised learning
(1)
supervised learning
(1)
image generation
(1)
multi-label classification
(1)
neural machine translation
(1)
dialogue state tracking
(1)
intent detection
(1)
posterior distribution
(1)
variance reduction
(1)
graph-based learning
(1)
mahalanobis distance
(1)
linear convergence
(1)
knowledge distillation
(1)
adversarial robustness
(1)
Papers
Learning LLM Preference over Intra-Dialogue Pairs: A Framework for Utterance-level Understandings
NAACL 2025
BPID: A Benchmark for Personal Identity Deduplication
EMNLP 2024
Evaluations and Methods for Explanation through Robustness Analysis
ICLR 2021
Label Disentanglement in Partition-based Extreme Multilabel Classification
NeurIPS 2021
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework
CVPR 2020
Learning to Encode Position for Transformer with Continuous Dynamical Model
ICML 2020
Provably Robust Metric Learning
NeurIPS 2020
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
ICLR 2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
NeurIPS 2019
Rob-GAN: Generator, Discriminator, and Adversarial Attacker
CVPR 2019
Fast Variance Reduction Method with Stochastic Batch Size
ICML 2018
Towards Robust Neural Networks via Random Self-ensemble
ECCV 2018