Lizhen Cui
33 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🐣 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)
Top co-authors
Keywords
large language model
(5)
graph neural network
(4)
federated learning
(4)
contrastive learning
(3)
causal inference
(2)
self-supervised learning
(2)
sentence transformer
(2)
knowledge transfer
(2)
path-based method
(2)
representation learning
(2)
knowledge graph
(2)
online advertising
(1)
anomaly detection
(1)
feature selection
(1)
interactive learning
(1)
metric learning
(1)
variable selection
(1)
medical imaging
(1)
few-shot learning
(1)
prototype learning
(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