Chaozhuo Li
43 papers · 2016–2026 · 9 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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πΊοΈ Taxonomy Completionist (79) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(10)
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Dynamic Duo
(16)
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Topic Evolution
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Keyword Pioneer
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Triple Crown
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Grand Slam
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Conference Pioneer
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Unstoppable Β· Bronze
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The Questioner
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Prolific Year Β· Prolific
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Century Club Β· Bronze
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Renaissance Researcher
(9)
ποΈ
Keyword Collector
(199)
Top co-authors
Research topics
Artificial Intelligence
(26)
Machine Learning
(25)
Core AI
(25)
Deep Learning
(24)
Core Methods
(13)
Application Areas
(12)
Architectures
(12)
Natural Language Processing
(11)
Learning Types Β· Machine Learning
(10)
Applications Β· Natural Language Processing
(9)
Learning Types Β· Deep Learning
(9)
Models
(6)
Data Science & Analytics
(4)
Knowledge & Reasoning
(4)
Applications Β· Data Science & Analytics
(4)
Keywords
graph neural network
(11)
large language model
(10)
representation learning
(4)
jailbreak attack
(4)
adversarial attack
(4)
domain adaptation
(3)
adversarial learning
(3)
information retrieval
(3)
retrieval-augmented generation
(3)
diffusion model
(3)
knowledge graph embedding
(3)
text classification
(2)
knowledge graph
(2)
adversarial robustness
(2)
monte carlo tree search
(2)
link prediction
(2)
variational inference
(2)
knowledge representation
(2)
knowledge distillation
(2)
reinforcement learning
(2)
Papers
Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS
AAAI 2026
Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning
ACL 2026
Diffusion with a Linguistic Compass: Steering the Generation of Clinically Plausible Future sMRI Representations for Early MCI Conversion Prediction
CVPR 2026
Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MAS
ACL 2026
From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in LRMs via Decoupled Reasoning and Control
ACL 2026
MirrorShield: Towards Dynamic Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting
AAAI 2026
Auto Encoding Neural Process for Multi-interest Recommendation
AAAI 2025
Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers
AAAI 2025
Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge
EMNLP 2025
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection
AAAI 2025
Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction
IJCAI 2025
Diffusion Guided Propagation Augmentation for Popularity Prediction
IJCAI 2025
DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models
EMNLP 2025
Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling
IJCAI 2025
From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction
AAAI 2025
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training
AAAI 2025
Going Deeper into Locally Differentially Private Graph Neural Networks
ICML 2025
LlmFixer: Fix the Helpfulness of Defensive Large Language Models
EMNLP 2025
MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning
AAAI 2025
Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval
ACL 2025
What Is a Good Question? Assessing Question Quality via Meta-Fact Checking
AAAI 2025
BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting
EMNLP 2024
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
NeurIPS 2024
Evidence Retrieval is almost All You Need for Fact Verification
ACL 2024
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
ICLR 2024
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
ICML 2024
Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection
AAAI 2024
Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation
AAAI 2024
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking
NeurIPS 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments
NeurIPS 2023
Learning on Large-scale Text-attributed Graphs via Variational Inference
ICLR 2023
Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval
EMNLP 2023
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
ACL 2023
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks
NeurIPS 2023
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
NeurIPS 2023
Going Deeper into Permutation-Sensitive Graph Neural Networks
ICML 2022
HousE: Knowledge Graph Embedding with Householder Parameterization
ICML 2022
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction
EMNLP 2022
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
NeurIPS 2021
Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search
EMNLP 2021
Adversarial Learning for Weakly-Supervised Social Network Alignment
AAAI 2019
Learning with Noisy Labels for Sentence-level Sentiment Classification
EMNLP 2019
Detecting Context Dependent Messages in a Conversational Environment
COLING 2016