Xintao Wu
22 papers · 2015–2026 · 6 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
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π¬
Deep Specialist
(10)
π
Century Club Β· Bronze
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(93)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(18)
Artificial Intelligence
(16)
Core AI
(16)
Application Areas
(12)
Learning Types Β· Machine Learning
(9)
Core Methods
(5)
Optimization & Theory
(3)
Deep Learning
(2)
Knowledge & Reasoning
(2)
Natural Language Processing
(2)
Learning Types Β· Deep Learning
(2)
Reasoning
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Applications
(1)
Keywords
causal inference
(7)
generative adversarial network
(3)
counterfactual fairness
(3)
in-context learning
(2)
fraud detection
(2)
soft intervention
(2)
algorithmic fairness
(2)
multi-armed bandit
(2)
vision-language model
(2)
large language model
(2)
out-of-distribution detection
(2)
prompt engineering
(1)
adversarial learning
(1)
privacy preservation
(1)
causal discovery
(1)
benchmark evaluation
(1)
regret analysis
(1)
causal reasoning
(1)
constrained optimization
(1)
domain generalization
(1)
Papers
AdaptJobRec: Enhancing Conversational Career Recommendation Through an LLM-Powered Agentic System
AAAI 2026
LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
AAAI 2026
Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
AAAI 2026
CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models
EMNLP 2025
Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation
ACL 2025
Soft Prompting for Unlearning in Large Language Models
NAACL 2025
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
IJCAI 2024
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach
AAAI 2024
Supervised Algorithmic Fairness in Distribution Shifts: A Survey
IJCAI 2024
Achieving Counterfactual Fairness for Causal Bandit
AAAI 2022
A Generative Adversarial Framework for Bounding Confounded Causal Effects
AAAI 2021
Fair Multiple Decision Making Through Soft Interventions
NeurIPS 2020
Achieving Causal Fairness through Generative Adversarial Networks
IJCAI 2019
Counterfactual Fairness: Unidentification, Bound and Algorithm
IJCAI 2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
IJCAI 2019
One-Class Adversarial Nets for Fraud Detection
AAAI 2019
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
NeurIPS 2019
SAFE: A Neural Survival Analysis Model for Fraud Early Detection
AAAI 2019
Achieving Non-Discrimination in Prediction
IJCAI 2018
A Causal Framework for Discovering and Removing Direct and Indirect Discrimination
IJCAI 2017
Situation Testing-Based Discrimination Discovery: A Causal Inference Approach
IJCAI 2016
Regression Model Fitting under Differential Privacy and Model Inversion Attack
IJCAI 2015