conftrace_
← Authors

Chaozhuo Li

43 papers · 2016–2026 · 9 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+13 more ↓ πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (9) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (11)
🌈 Renaissance Researcher (11) πŸ—ΊοΈ Taxonomy Completionist (82) 🧭 Keyword Pioneer 🀝 Dynamic Duo (11) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ’Ž Century Club (38) ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (173) πŸ”₯ Unstoppable (5) ❓ The Questioner

Conferences

AAAI (12) EMNLP (8) ACL (6) NIPS (6) ICML (4) IJCAI (3) ICLR (2) COLING (1) IJCNLP (1)

Top co-authors

Litian Zhang (15) Xi Zhang (12) Xing Xie (11) Senzhang Wang (8) Zheng Liu (6) Rui Pu (6) Rui Ha (6) Xiaoming Zhang (6) Rui Li (4) Lirong Qiu (4)

Keywords

graph neural network (9) large language model (8) adversarial attack (4) representation learning (4) adversarial learning (3) retrieval-augmented generation (3) jailbreak attack (3) information retrieval (3) domain adaptation (3) monte carlo tree search (2) adversarial robustness (2) text classification (2) reinforcement learning (2) document retrieval (2) sentiment classification (2) knowledge graph (2) self-supervised learning (2) knowledge representation (2) noisy label learning (2) link prediction (2)

Papers

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 Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning ACL 2026 Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS AAAI 2026 MirrorShield: Towards Dynamic Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting AAAI 2026 Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection AAAI 2025 Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers AAAI 2025 From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction AAAI 2025 Auto Encoding Neural Process for Multi-interest Recommendation AAAI 2025 Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training AAAI 2025 What Is a Good Question? Assessing Question Quality via Meta-Fact Checking AAAI 2025 MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning AAAI 2025 Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction IJCAI 2025 Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval ACL 2025 Going Deeper into Locally Differentially Private Graph Neural Networks ICML 2025 Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling IJCAI 2025 LlmFixer: Fix the Helpfulness of Defensive Large Language Models EMNLP 2025 Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge EMNLP 2025 DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models EMNLP 2025 Diffusion Guided Propagation Augmentation for Popularity Prediction IJCAI 2025 Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NIPS 2024 Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation AAAI 2024 Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection AAAI 2024 Evidence Retrieval is almost All You Need for Fact Verification ACL 2024 BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting EMNLP 2024 Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models ICLR 2024 Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization ICML 2024 V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs NIPS 2023 To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion ACL 2023 Bayesian Active Causal Discovery with Multi-Fidelity Experiments NIPS 2023 Learning on Large-scale Text-attributed Graphs via Variational Inference ICLR 2023 Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks NIPS 2023 A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking NIPS 2023 Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval EMNLP 2023 RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction EMNLP 2022 Going Deeper into Permutation-Sensitive Graph Neural Networks ICML 2022 HousE: Knowledge Graph Embedding with Householder Parameterization ICML 2022 GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph NIPS 2021 Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search EMNLP 2021 Learning with Noisy Labels for Sentence-level Sentiment Classification IJCNLP 2019 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