Xiaowei Huang
40 papers · 2015–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
🌍 Conference Polyglot (11) 🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (6)
🌈
Renaissance Researcher
(9)
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(11)
🤝
Dynamic Duo
(11)
🏆
Grand Slam
🔬
Deep Specialist
(11)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(147)
⚡
Prolific Year
(8)
🔥
Unstoppable
(11)
💎
Century Club
(36)
❓
The Questioner
(3)
Conferences
AAAI (11)
IJCAI (6)
ECCV (5)
ACL (4)
CVPR (4)
ICCV (3)
ICLR (2)
NIPS (2)
EMNLP (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
adversarial robustness
(8)
adversarial training
(5)
large language model
(4)
neural network verification
(4)
adversarial perturbation
(3)
adversarial attack
(3)
adversarial example
(3)
math word problem
(2)
min-max optimization
(2)
multi-agent system
(2)
deep neural network
(2)
model checking
(2)
generative model
(2)
provable guarantee
(2)
explainable ai
(2)
reinforcement learning
(2)
uncertainty quantification
(2)
model robustness
(2)
multimodal learning
(2)
robust neural network
(2)
Papers
Chain-of-Thought as a Lens: Evaluating Structured Reasoning Alignment between Human Preferences and Large Language Models
ACL 2026
Lying with Truths: Open-Channel Multi-Agent Collusion for Belief Manipulation via Generative Montage
ACL 2026
Fragile by Design: On the Limits of Adversarial Defenses in Personalized DreamBooth Generation
AAAI 2026
Tapas Are Free! Training-Free Adaptation of Programmatic Agents via LLM-Guided Program Synthesis in Dynamic Environments
AAAI 2026
Can GRPO Boost Complex Multimodal Table Understanding?
EMNLP 2025
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization
AAAI 2025
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning
ICLR 2025
A Black-Box Evaluation Framework for Semantic Robustness in Bird’s Eye View Detection
AAAI 2025
GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs
AAAI 2025
Risk Controlled Image Retrieval
AAAI 2025
Training Verification-Friendly Neural Networks via Neuron Behavior Consistency
AAAI 2025
SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model
CVPR 2025
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist
ICLR 2025
Adversarial Training for Probabilistic Robustness
ICCV 2025
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation
ECCV 2024
TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models
NIPS 2024
MathAttack: Attacking Large Language Models towards Math Solving Ability
AAAI 2024
Reward Certification for Policy Smoothed Reinforcement Learning
AAAI 2024
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning
AAAI 2024
Towards Fairness-Aware Adversarial Learning
CVPR 2024
Delving into Adversarial Robustness on Document Tampering Localization
ECCV 2024
Position: Building Guardrails for Large Language Models Requires Systematic Design
ICML 2024
Randomized Adversarial Training via Taylor Expansion
CVPR 2023
Learning by Analogy: Diverse Questions Generation in Math Word Problem
ACL 2023
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability
ICCV 2023
Towards Verifying the Geometric Robustness of Large-Scale Neural Networks
AAAI 2023
Enhancing Adversarial Training With Second-Order Statistics of Weights
CVPR 2022
Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation
ECCV 2022
BayLIME: Bayesian local interpretable model-agnostic explanations
UAI 2021
Spatial Uncertainty-Aware Semi-Supervised Crowd Counting
ICCV 2021
Explaining Image Classifiers using Statistical Fault Localization
ECCV 2020
How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks?
NIPS 2020
Regression of Instance Boundary by Aggregated CNN and GCN
ECCV 2020
HITSZ-ICRC: A Report for SMM4H Shared Task 2019-Automatic Classification and Extraction of Adverse Effect Mentions in Tweets
ACL 2019
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance
IJCAI 2019
Model Checking Probabilistic Epistemic Logic for Probabilistic Multiagent Systems
IJCAI 2018
Reachability Analysis of Deep Neural Networks with Provable Guarantees
IJCAI 2018
ATL Strategic Reasoning Meets Correlated Equilibrium
IJCAI 2017
Reconfigurability in Reactive Multiagent Systems
IJCAI 2016
The Complexity of Model Checking Succinct Multiagent Systems
IJCAI 2015