Chao Shen
40 papers · 2010–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (16) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (12)
πΊοΈ
Taxonomy Completionist
(16)
π§
Keyword Pioneer
π
Academic Marathon
(15)
π
Grand Slam
π€
Dynamic Duo
(11)
π¬
Deep Specialist
(11)
π§¬
Topic Evolution
β‘
Prolific Year
(14)
ποΈ
Keyword Collector
(163)
β
The Questioner
π
Century Club
(35)
π₯
Unstoppable
(5)
Conferences
ACL (8)
AAAI (7)
CVPR (4)
EMNLP (4)
NIPS (4)
IJCAI (3)
NAACL (3)
ICCV (2)
ICML (2)
COLING (1)
ICLR (1)
JMLR (1)
Top co-authors
Research topics
Keywords
large language model
(10)
adversarial attack
(5)
machine-generated text detection
(4)
contrastive learning
(3)
few-shot learning
(3)
adversarial robustness
(3)
reasoning path
(3)
adversarial example
(3)
text classification
(3)
soft prompt
(2)
black-box optimization
(2)
reinforcement learning
(2)
vision transformer
(2)
pre-trained language model
(2)
prompt optimization
(2)
math word problem
(2)
autonomous driving
(2)
intrinsic motivation
(2)
diffusion model
(2)
prompt engineering
(2)
Papers
False Friends in the Shell: Unveiling the Emoticon Semantic Confusion in Large Language Models
ACL 2026
Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data
AAAI 2026
Confidence Should Be Calibrated More Than One Turn Deep
ACL 2026
From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning
AAAI 2026
Can Reasoning Path still be Effective as Input? Bridging Post-Reasoning to Chain-of-Thought Compression
ACL 2026
Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
ICCV 2025
STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning
ICLR 2025
The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation
ACL 2025
Enhancing Mathematical Reasoning in LLMs by Stepwise Correction
ACL 2025
An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as Optimizer
NAACL 2025
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
AAAI 2025
Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection
CVPR 2025
Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model
CVPR 2025
Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
CVPR 2025
CALM: Curiosity-Driven Auditing for Large Language Models
AAAI 2025
Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training
ACL 2025
D3: Training-Free AI-Generated Video Detection Using Second-Order Features
ICCV 2025
Constrained Intrinsic Motivation for Reinforcement Learning
IJCAI 2024
Instructing Large Language Models to Identify and Ignore Irrelevant Conditions
NAACL 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
NIPS 2024
Breaking Semantic Artifacts for Generalized AI-generated Image Detection
NIPS 2024
SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples
AAAI 2024
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning
AAAI 2024
Get an A in Math: Progressive Rectification Prompting
AAAI 2024
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better
ACL 2024
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks
ACL 2024
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
CVPR 2024
Large Language Models Can Self-Correct with Key Condition Verification
EMNLP 2024
StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation
EMNLP 2024
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
ICML 2024
Speech-Forensics: Towards Comprehensive Synthetic Speech Dataset Establishment and Analysis
IJCAI 2024
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning
EMNLP 2023
Learning Heuristically-Selected and Neurally-Guided Feature for Age Group Recognition Using Unconstrained Smartphone Interaction
IJCAI 2023
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
NIPS 2022
Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing
JMLR 2022
Amplifying Membership Exposure via Data Poisoning
NIPS 2022
CARTL: Cooperative Adversarially-Robust Transfer Learning
ICML 2021
A Participant-based Approach for Event Summarization Using Twitter Streams
NAACL 2013
A Non-negative Matrix Factorization Based Approach for Active Dual Supervision from Document and Word Labels
EMNLP 2011
Multi-Document Summarization via the Minimum Dominating Set
COLING 2010