Zhifeng Hao
44 papers · 2013–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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๐บ๏ธ Taxonomy Completionist (59) ๐ Academic Marathon ยท Half ๐ Conference Polyglot ยท Silver ๐ Interdisciplinary Bridge ยท Silver ๐ฃ Hot Topic Early Bird
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Deep Specialist
(22)
๐ค
Dynamic Duo
(39)
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Keyword Champion
(2)
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Renaissance Researcher
(7)
๐ฅ
Unstoppable ยท Silver
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The Questioner
โก
Prolific Year ยท Prolific
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Conference Pioneer
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Century Club ยท Bronze
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Trend Setter
๐๏ธ
Keyword Collector
(200)
Top co-authors
Research topics
Artificial Intelligence
(29)
Machine Learning
(29)
Core AI
(28)
Knowledge & Reasoning
(17)
Learning Types
(17)
Reasoning
(17)
Core Methods
(14)
Deep Learning
(9)
Mathematics & Optimization
(7)
Optimization & Theory
(6)
Data Science & Analytics
(4)
Natural Language Processing
(4)
Architectures
(4)
Bayesian & Probabilistic
(4)
Optimization
(4)
Keywords
causal discovery
(14)
causal inference
(8)
causal structure
(6)
causal direction
(5)
graph neural network
(4)
structural equation model
(4)
latent variable
(4)
higher-order cumulant
(3)
structural causal model
(3)
confounding bia
(3)
causal structure learning
(3)
large language model
(3)
optimal transport
(3)
cross-domain generalization
(2)
discrete data
(2)
variational inference
(2)
latent confounder
(2)
graphical model
(2)
variational autoencoder
(2)
structural learning
(2)
Papers
Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants
AAAI 2026
CACA: Context-Aware Cross-Attention Network for Extractive Aspect Sentiment Quad Prediction
COLING 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
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
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
Handling Missing Entities in Zero-Shot Named Entity Recognition: Integrated Recall and Retrieval Augmentation
NAACL 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
๐ฎ2IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction
NAACL 2025
Track-SQL: Enhancing Generative Language Models with Dual-Extractive Modules for Schema and Context Tracking in Multi-turn Text-to-SQL
NAACL 2025
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering
AAAI 2024
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
AAAI 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
ICML 2024
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport
AAAI 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation
ICML 2024
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
AAAI 2024
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model
AAAI 2024
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants
AAAI 2024
Individual Causal Structure Learning from Population Data
IJCAI 2024
Learning Discrete Latent Variable Structures with Tensor Rank Conditions
NeurIPS 2024
Multi-Relational Structural Entropy
UAI 2024
On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function
NeurIPS 2024
Reducing Balancing Error for Causal Inference via Optimal Transport
ICML 2024
S2GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis
ACL 2024
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
AAAI 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
AAAI 2024
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants
ICML 2023
Some General Identification Results for Linear Latent Hierarchical Causal Structure
IJCAI 2023
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences
IJCAI 2023
Subspace Identification for Multi-Source Domain Adaptation
NeurIPS 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
NeurIPS 2021
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
NeurIPS 2020
Causal Discovery with Cascade Nonlinear Additive Noise Model
IJCAI 2019
Learning Disentangled Semantic Representation for Domain Adaptation
IJCAI 2019
Triad Constraints for Learning Causal Structure of Latent Variables
NeurIPS 2019
Causal Discovery from Discrete Data using Hidden Compact Representation
NeurIPS 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