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Lizhen Cui

33 papers · 2020–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (5)
🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🧬 Topic Evolution 🗃️ Keyword Collector (153) Prolific Year (5) 🚀 Conference Pioneer 💎 Century Club (32) 🔥 Unstoppable (6) The Questioner

Conferences

AAAI (12) IJCAI (9) EMNLP (3) MICCAI (3) ACL (2) ICML (2) CVPR (1) ICLR (1)

Papers

Counterfactual Fairness with Imperfect Causal Graphs AAAI 2026 The Illusion of Randomness: How LLMs Fail to Emulate Stochastic Decision-Making in Rock-Paper-Scissors Games? EMNLP 2025 Federated Causally Invariant Feature Learning AAAI 2025 Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models AAAI 2025 Exploring Intrinsic Alignments Within Text Corpus AAAI 2025 CodeV: Issue Resolving with Visual Data ACL 2025 Learning SQL Like a Human: Structure-Aware Curriculum Learning for Text-to-SQL Generation EMNLP 2025 Efficient Heterogeneity-Aware Federated Active Data Selection ICML 2025 Multi-Agent Communication with Information Preserving Graph Contrastive Learning IJCAI 2025 MutationGuard: A Graph and Temporal-Spatial Neural Method for Detecting Mutation Telecommunication Fraud IJCAI 2025 Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition MICCAI 2025 CodeM: Less Data Yields More Versatility via Ability Matrix ACL 2024 Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis MICCAI 2024 An LLM can Fool Itself: A Prompt-Based Adversarial Attack ICLR 2024 CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment MICCAI 2024 Anchoring Path for Inductive Relation Prediction in Knowledge Graphs AAAI 2024 Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection IJCAI 2024 FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning IJCAI 2024 Personalized Federated Learning for Cross-City Traffic Prediction IJCAI 2024 MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series AAAI 2023 MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation AAAI 2023 Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising AAAI 2023 Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer AAAI 2023 Enhancing Sequential Recommendation with Graph Contrastive Learning IJCAI 2022 History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System EMNLP 2022 Few-Shot Partial-Label Learning IJCAI 2021 Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection CVPR 2021 Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation AAAI 2021 Learning Personalized Itemset Mapping for Cross-Domain Recommendation IJCAI 2020 An AI-empowered Visual Storyline Generator IJCAI 2020 Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract) AAAI 2020 Attacks Which Do Not Kill Training Make Adversarial Learning Stronger ICML 2020 PIDS: An Intelligent Electric Power Management Platform AAAI 2020