Xintao Wu

22 papers · 2015–2026 · 6 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (10)

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🔬 Deep Specialist (10) 🗃️ Keyword Collector (93) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (19) 🔥 Unstoppable (8) ⚡ Prolific Year (6)

Conferences

IJCAI (9) AAAI (8) NIPS (2) ACL (1) EMNLP (1) NAACL (1)

Top co-authors

Lu Zhang (9) Yongkai Wu (9) Chen Zhao (4) Minglai Shao (3) Shuhan Yuan (3) Dong Li (3) Yaowei Hu (3) Karuna Bhaila (2) Qin Tian (2) Feng Chen (2)

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 Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models AAAI 2026 LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs AAAI 2026 Soft Prompting for Unlearning in Large Language Models NAACL 2025 Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation ACL 2025 CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models EMNLP 2025 Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024 Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms IJCAI 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 NIPS 2020 PC-Fairness: A Unified Framework for Measuring Causality-based Fairness NIPS 2019 SAFE: A Neural Survival Analysis Model for Fraud Early Detection AAAI 2019 One-Class Adversarial Nets for Fraud Detection AAAI 2019 Counterfactual Fairness: Unidentification, Bound and Algorithm IJCAI 2019 Achieving Causal Fairness through Generative Adversarial Networks IJCAI 2019 Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness IJCAI 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