Litian Zhang
18 papers · 2022–2026 · 6 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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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (46) π Conference Polyglot Β· Silver π€ Dynamic Duo (16) ποΈ Keyword Collector (91)
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(14)
Core AI
(14)
Machine Learning
(8)
Deep Learning
(7)
Learning Types Β· Deep Learning
(5)
Natural Language Processing
(4)
Learning Types Β· Machine Learning
(4)
Application Areas
(3)
Applications
(3)
Core Methods
(3)
Models
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Keywords
large language model
(7)
jailbreak attack
(4)
adversarial attack
(3)
diffusion model
(2)
reinforcement learning
(2)
graph neural network
(2)
fake news detection
(2)
monte carlo tree search
(2)
adversarial learning
(2)
multi-agent system
(2)
misinformation detection
(2)
preference optimization
(1)
self-supervised learning
(1)
multimodal learning
(1)
autoregressive generation
(1)
claim verification
(1)
direct preference optimization
(1)
in-context learning
(1)
semantic correlation
(1)
natural language inference
(1)
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
MirrorShield: Towards Dynamic Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting
AAAI 2026
Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers
AAAI 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
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training
AAAI 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
BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting
EMNLP 2024
MDS: A Fine-Grained Dataset for Multi-Modal Dialogue Summarization
COLING 2024
Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection
AAAI 2024
Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization
AAAI 2022