← Authors

Zhifeng Hao

44 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) 🗺️ Taxonomy Completionist (57) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (13) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (12) 🤝 Dynamic Duo (38) 🔬 Deep Specialist (20) 🔥 Unstoppable (9) 🚀 Conference Pioneer ⚡ Prolific Year (12) 🗃️ Keyword Collector (172) 📈 Trend Setter ❓ The Questioner 💎 Century Club (43)

Conferences

AAAI (12) IJCAI (10) ICML (7) NIPS (7) NAACL (3) EMNLP (2) ACL (1) COLING (1) UAI (1)

Top co-authors

Ruichu Cai (39) Jie Qiao (14) Kun Zhang (12) Boyan Xu (9) Zijian Li (9) Zhengming Chen (8) Feng Xie (7) Yuguang Yan (5) Wei Chen (5) Zeqin Yang (4)

Research topics

Probability (1)

Keywords

causal discovery (14) causal inference (8) causal structure (6) causal direction (5) latent variable (4) graph neural network (4) structural equation model (4) structural causal model (3) large language model (3) causal structure learning (3) higher-order cumulant (3) discrete datum (2) additive noise model (2) non-gaussian noise (2) variational inference (2) cross-domain generalization (2) aspect-based sentiment analysis (2) variational autoencoder (2) structural learning (2) latent variable model (2)

Papers

Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants AAAI 2026
Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning IJCAI 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting AAAI 2025
CACA: Context-Aware Cross-Attention Network for Extractive Aspect Sentiment Quad Prediction COLING 2025
Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation EMNLP 2025
GenLink: Generation-Driven Schema-Linking via Multi-Model Learning for Text-to-SQL EMNLP 2025
Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations ICML 2025
Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport ICML 2025
Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting IJCAI 2025
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism IJCAI 2025
Track-SQL: Enhancing Generative Language Models with Dual-Extractive Modules for Schema and Context Tracking in Multi-turn Text-to-SQL NAACL 2025
Handling Missing Entities in Zero-Shot Named Entity Recognition: Integrated Recall and Retrieval Augmentation NAACL 2025
𝒮2IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction NAACL 2025
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants AAAI 2024
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences AAAI 2024
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model AAAI 2024
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis AAAI 2024
S2GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis ACL 2024
Individual Causal Structure Learning from Population Data IJCAI 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning ICML 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation ICML 2024
Reducing Balancing Error for Causal Inference via Optimal Transport ICML 2024
Multi-Relational Structural Entropy UAI 2024
On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function NIPS 2024
Learning Discrete Latent Variable Structures with Tensor Rank Conditions NIPS 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples AAAI 2024
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering AAAI 2024
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering AAAI 2024
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport AAAI 2024
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences IJCAI 2023
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants ICML 2023
Some General Identification Results for Linear Latent Hierarchical Causal Structure IJCAI 2023
Subspace Identification for Multi-Source Domain Adaptation NIPS 2023
Identification of Linear Latent Variable Model with Arbitrary Distribution AAAI 2022
Appearance-Motion Memory Consistency Network for Video Anomaly Detection AAAI 2021
Causal Discovery with Multi-Domain LiNGAM for Latent Factors IJCAI 2021
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL NIPS 2021
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs NIPS 2020
Learning Disentangled Semantic Representation for Domain Adaptation IJCAI 2019
Causal Discovery with Cascade Nonlinear Additive Noise Model IJCAI 2019
Triad Constraints for Learning Causal Structure of Latent Variables NIPS 2019
Causal Discovery from Discrete Data using Hidden Compact Representation NIPS 2018
A Robust Noise Resistant Algorithm for POI Identification from Flickr Data IJCAI 2017
SADA: A General Framework to Support Robust Causation Discovery ICML 2013