Wenxuan Wang
65 papers · 2018–2026 · 14 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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🗺️ Taxonomy Completionist (103) 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird
🏠
Conference Loyalist
(21)
🤝
Dynamic Duo
(23)
🏆
Grand Slam
🧬
Topic Evolution
🔬
Deep Specialist
(17)
⚡
Prolific Year · Absurd
🔥
Unstoppable · Bronze
❓
The Questioner
(4)
💎
Century Club · Silver
🚀
Conference Pioneer
🌈
Renaissance Researcher
(10)
🗃️
Keyword Collector
(311)
Venues
Top co-authors
Research topics
Artificial Intelligence
(49)
Core AI
(49)
Deep Learning
(30)
Machine Learning
(30)
Natural Language Processing
(18)
Learning Types · Deep Learning
(18)
Learning Types · Machine Learning
(16)
Computer Vision
(13)
Application Areas
(13)
Resources & Methods
(12)
Analysis
(9)
Architectures
(8)
Applications
(7)
Models
(7)
Healthcare & Medicine
(6)
Keywords
large language model
(22)
adversarial attack
(10)
benchmark evaluation
(6)
adversarial example
(5)
multimodal large language model
(5)
vision-language model
(4)
neural machine translation
(4)
black-box attack
(4)
safety alignment
(3)
neural network
(3)
face recognition
(3)
jailbreak attack
(3)
data augmentation
(3)
multimodal learning
(3)
prompt engineering
(3)
attention mechanism
(3)
ai safety
(2)
reinforcement learning
(2)
instruction following
(2)
medical image segmentation
(2)
Papers
A Survey of Deep Learning for Geometry Problem Solving
ACL 2026
Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models
ACL 2026
ChartEditor: A Reinforcement Learning Framework for Robust Chart Editing
AAAI 2026
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards
ACL 2026
Exploring Attention Attractors in Large Language Models
ACL 2026
JARVIS or Ultron? A Survey on the Safety and Security Threats of Computer-Using Agents
ACL 2026
MedEinst: Benchmarking the Einstellung Effect in Medical LLMs through Counterfactual Differential Diagnosis
ACL 2026
Mem-PAL: Towards Memory-based Personalized Dialogue Assistants for Long-term User-Agent Interaction
AAAI 2026
POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering
ACL 2026
Probing Semantic Insensitivity for Inference-Time Backdoor Defense in Multimodal Large Language Model
AAAI 2026
Robustness Under Data Scarcity: Few-Shot Continual Adversarial Training for Evolving Threats
CVPR 2026
AI Sees Your Location—But With A Bias Toward The Wealthy World
EMNLP 2025
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models
ACL 2025
A Survey of LLM-based Agents in Medicine: How far are we from Baymax?
ACL 2025
Can’t See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs
ACL 2025
Chain-of-Jailbreak Attack for Image Generation Models via Step by Step Editing
ACL 2025
Competing Large Language Models in Multi-Agent Gaming Environments
ICLR 2025
Diffusion Feedback Helps CLIP See Better
ICLR 2025
EAGLE: Expert-Guided Self-Enhancement for Preference Alignment in Pathology Large Vision-Language Model
ACL 2025
EVEv2: Improved Baselines for Encoder-Free Vision-Language Models
ICCV 2025
Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
CVPR 2025
Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs
ACL 2025
IntentionESC: An Intention-Centered Framework for Enhancing Emotional Support in Dialogue Systems
ACL 2025
Learning to Ask: When LLM Agents Meet Unclear Instruction
EMNLP 2025
LipsNet++: Unifying Filter and Controller into a Policy Network
ICML 2025
NYA’s Offline Speech Translation System for IWSLT 2025
ACL 2025
ODE-based Smoothing Neural Network for Reinforcement Learning Tasks
ICLR 2025
On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents
ICML 2025
QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language
ACL 2025
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training
ACL 2025
SeCap: Self-Calibrating and Adaptive Prompts for Cross-view Person Re-Identification in Aerial-Ground Networks
CVPR 2025
ToolSafety: A Comprehensive Dataset for Enhancing Safety in LLM-Based Agent Tool Invocations
EMNLP 2025
VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models
EMNLP 2025
VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language Models
EMNLP 2025
Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases
EMNLP 2025
All Languages Matter: On the Multilingual Safety of LLMs
ACL 2024
Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans
NeurIPS 2024
Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions
ACL 2024
Boosting Adversarial Transferability by Block Shuffle and Rotation
CVPR 2024
Diffusion Actor-Critic with Entropy Regulator
NeurIPS 2024
Does ChatGPT Know That It Does Not Know? Evaluating the Black-Box Calibration of ChatGPT
COLING 2024
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation
WACV 2024
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
ICLR 2024
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
EMNLP 2024
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation
WACV 2024
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation
MIDL 2024
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models
ACL 2024
On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs
ICLR 2024
On the Reliability of Psychological Scales on Large Language Models
EMNLP 2024
Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation
CVPR 2024
Improving the Transferability of Adversarial Samples by Path-Augmented Method
CVPR 2023
Language-Routing Mixture of Experts for Multilingual and Code-Switching Speech Recognition
Interspeech 2023
LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control
ICML 2023
ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback
EMNLP 2023
DST: Dynamic Substitute Training for Data-Free Black-Box Attack
CVPR 2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
CVPR 2022
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation
ECCV 2022
Tencent’s Multilingual Machine Translation System for WMT22 Large-Scale African Languages
EMNLP 2022
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation
ACL 2022
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
IJCAI 2021
Delving into Data: Effectively Substitute Training for Black-box Attack
CVPR 2021
FM2u-Net: Face Morphological Multi-Branch Network for Makeup-Invariant Face Verification
CVPR 2020
FPETS: Fully Parallel End-to-End Text-to-Speech System
AAAI 2020
Rethinking the Value of Transformer Components
COLING 2020
Pose-Normalized Image Generation for Person Re-identification
ECCV 2018