Lizhen Cui

Counterfactual Fairness with Imperfect Causal Graphs AAAI 2026 VKG-QA: Visual Knowledge Graph-based Question Answer for Large Multimodal Models CVPR 2026 CodeV: Issue Resolving with Visual Data ACL 2025 Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models AAAI 2025 Efficient Heterogeneity-Aware Federated Active Data Selection ICML 2025 Exploring Intrinsic Alignments Within Text Corpus AAAI 2025 Federated Causally Invariant Feature Learning AAAI 2025 Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition MICCAI 2025 Learning SQL Like a Human: Structure-Aware Curriculum Learning for Text-to-SQL Generation EMNLP 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 The Illusion of Randomness: How LLMs Fail to Emulate Stochastic Decision-Making in Rock-Paper-Scissors Games? EMNLP 2025 Anchoring Path for Inductive Relation Prediction in Knowledge Graphs AAAI 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 CodeM: Less Data Yields More Versatility via Ability Matrix ACL 2024 FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning IJCAI 2024 Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis MICCAI 2024 Personalized Federated Learning for Cross-City Traffic Prediction IJCAI 2024 Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection 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 Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer AAAI 2023 Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising 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 An AI-empowered Visual Storyline Generator IJCAI 2020 Attacks Which Do Not Kill Training Make Adversarial Learning Stronger ICML 2020 Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract) AAAI 2020 Learning Personalized Itemset Mapping for Cross-Domain Recommendation IJCAI 2020 PIDS: An Intelligent Electric Power Management Platform AAAI 2020