Ting Wang
43 papers · 2008–2026 · 13 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 (68) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🌟
Keyword Trendsetter Combo
(3)
🤝
Dynamic Duo
(14)
🧬
Topic Evolution
🧭
Keyword Pioneer
🗃️
Keyword Collector
(186)
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🌈
Renaissance Researcher
(6)
Venues
Top co-authors
Research topics
Artificial Intelligence
(31)
Core AI
(30)
Machine Learning
(21)
Deep Learning
(16)
Learning Types · Machine Learning
(15)
Natural Language Processing
(12)
Learning Types · Deep Learning
(11)
Applications
(7)
Optimization & Theory
(6)
Architectures
(5)
Learning Paradigms
(5)
Application Areas
(4)
Core Methods
(3)
Computer Vision
(2)
Data Science & Analytics
(2)
Keywords
backdoor attack
(7)
adversarial robustness
(5)
jailbreak attack
(4)
adversarial attack
(4)
vision-language model
(4)
diffusion model
(3)
multimodal learning
(3)
word embedding
(3)
adversarial training
(3)
few-shot learning
(3)
multimodal large language model
(2)
deep neural network
(2)
language model
(2)
adversarial perturbation
(2)
contrastive learning
(2)
image generation
(2)
bilevel optimization
(2)
visual grounding
(2)
text classification
(2)
knowledge distillation
(2)
Papers
AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models
ACL 2026
Beyond Plain Demos: A Demo-Centric Anchoring Paradigm for In-Context Learning in Alzheimer’s Disease Detection
AAAI 2026
Dynamic Token Reweighting for Robust Vision-Language Models
CVPR 2026
Enhancing Medical Large Vision-Language Models via Alignment Distillation
AAAI 2026
ICDAGENT: Empowering Agentic Large Language Models for Explainable Medical Coding
ACL 2026
InteChar: A Unified Oracle Bone Character List for Ancient Chinese Language Modeling
AAAI 2026
Misclassification-Aware Robust Learning from Multiple Human Labelers (Student Abstract)
AAAI 2026
RSVG-ZeroOV: Exploring a Training-Free Framework for Zero-Shot Open-Vocabulary Visual Grounding in Remote Sensing Images
AAAI 2026
Towards Robust Multimodal Large Language Models Against Jailbreak Attacks
CVPR 2026
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
AAAI 2025
R2A-TLS: Reflective Retrieval-Augmented Timeline Summarization with Causal-Semantic Integration
EMNLP 2025
RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
ICLR 2025
RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction
ICLR 2025
Shadow-Activated Backdoor Attacks on Multimodal Large Language Models
ACL 2025
Watermark under Fire: A Robustness Evaluation of LLM Watermarking
EMNLP 2025
Backdoor Contrastive Learning via Bi-level Trigger Optimization
ICLR 2024
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
EMNLP 2024
Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks
AAAI 2024
PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning
NAACL 2024
Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines
COLING 2024
ReMasker: Imputing Tabular Data with Masked Autoencoding
ICLR 2024
Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning
AAAI 2024
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models
AAAI 2024
An Embarrassingly Simple Backdoor Attack on Self-supervised Learning
ICCV 2023
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks
NeurIPS 2023
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI
NeurIPS 2023
Improving Image Captioning via Predicting Structured Concepts
EMNLP 2023
InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning
IJCAI 2023
The Dark Side of AutoML: Towards Architectural Backdoor Search
ICLR 2023
UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation
NeurIPS 2023
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
NeurIPS 2023
An Invisible Black-Box Backdoor Attack through Frequency Domain
ECCV 2022
Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction
ACL 2022
DUTNLP Machine Translation System for WMT22 General MT Task
EMNLP 2022
Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation
IJCAI 2022
Multi-Document Scientific Summarization from a Knowledge Graph-Centric View
COLING 2022
TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text
AAAI 2022
Don’t Miss the Potential Customers! Retrieving Similar Ads to Improve User Targeting
EMNLP 2021
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks
AAAI 2021
Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model
ACML 2016
Long Short-term Memory Network over Rhetorical Structure Theory for Sentence-level Sentiment Analysis
ACML 2016
Semantic Role Labeling of Chinese Using Transductive SVM and Semantic Heuristics
IJCNLP 2008
Story Link Detection based on Dynamic Information Extending
IJCNLP 2008