Xin Yao
26 papers · 2013–2026 · 9 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (9)
π
Academic Marathon
(12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(6)
π
Keyword Champion
β‘
Prolific Year
(8)
π
Conference Pioneer
ποΈ
Keyword Collector
(113)
π
Century Club
(23)
β
The Questioner
Conferences
AAAI (7)
NIPS (5)
ACL (4)
IJCAI (4)
ICCV (2)
EMNLP (1)
ICLR (1)
JMLR (1)
NSDI (1)
Top co-authors
Keywords
bias mitigation
(5)
large language model
(4)
model robustness
(3)
adversarial robustness
(3)
fast adversarial training
(2)
knowledge distillation
(2)
catastrophic overfitting
(2)
adversarial training
(2)
in-context learning
(1)
reinforcement learning
(1)
federated learning
(1)
hyperparameter optimization
(1)
game theory
(1)
information retrieval
(1)
contrastive learning
(1)
privacy preservation
(1)
bias detection
(1)
image restoration
(1)
multimodal learning
(1)
language modeling
(1)
Papers
GeWu: A Culturally-Grounded Chinese Benchmark for Multi-Stage Social Bias Evaluation in Large Language Models
AAAI 2026
AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora
ACL 2026
The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models
AAAI 2026
Chart2Code53: A Large-Scale Diverse and Complex Dataset for Enhancing Chart-to-Code Generation
EMNLP 2025
Efficient Robustness Evaluation via Constraint Relaxation
AAAI 2025
LLMs Trust Humans More, Thatβs a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation
ACL 2025
The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing
ACL 2025
Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination
ICCV 2025
Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training
AAAI 2024
AutoSketch: Automatic Sketch-Oriented Compiler for Query-driven Network Telemetry
NSDI 2024
Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
NIPS 2024
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models
NIPS 2024
Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation
ICLR 2024
Generative Adversarial Ranking Nets
JMLR 2024
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation
NIPS 2024
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning
AAAI 2024
Gradient-based Intra-attention Pruning on Pre-trained Language Models
ACL 2023
Single Image Defocus Deblurring via Implicit Neural Inverse Kernels
ICCV 2023
On Performance Estimation in Automatic Algorithm Configuration
AAAI 2020
Explicit Planning for Efficient Exploration in Reinforcement Learning
NIPS 2019
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping
AAAI 2019
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning
NIPS 2017
Dealing with Multiple Classes in Online Class Imbalance Learning
IJCAI 2016
Model Metric Co-Learning for Time Series Classification
IJCAI 2015
Increasingly Cautious Optimism for Practical PAC-MDP Exploration
IJCAI 2015
On the Approximation Ability of Evolutionary Optimization with Application to Minimum Set Cover: Extended Abstract
IJCAI 2013