Liang Hu
36 papers · 2013–2026 · 7 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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πΊοΈ Taxonomy Completionist (76) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Dynamic Duo
(19)
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Keyword Champion
(2)
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Keyword Pioneer
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Renaissance Researcher
(12)
π₯
Unstoppable Β· Silver
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(188)
Top co-authors
Research topics
Machine Learning
(25)
Artificial Intelligence
(18)
Core AI
(17)
Learning Types Β· Machine Learning
(14)
Deep Learning
(13)
Core Methods
(13)
Data Science & Analytics
(11)
Application Areas
(10)
Applications
(10)
Computer Vision
(5)
Learning Types Β· Deep Learning
(5)
Natural Language Processing
(4)
Architectures
(4)
Domain-Specific
(3)
Models
(3)
Keywords
collaborative filtering
(4)
graph neural network
(4)
contrastive learning
(3)
recommender system
(3)
user behavior modeling
(2)
intention recognition
(2)
session-based recommendation
(2)
content-based filtering
(2)
knowledge graph
(2)
fourier transform
(2)
multimodal learning
(2)
matrix factorization
(2)
transfer learning
(2)
user-item interaction
(2)
brain-computer interface
(2)
sequential recommendation
(2)
noisy label learning
(2)
knowledge distillation
(2)
mutual information
(2)
next-basket prediction
(2)
Papers
LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation
AAAI 2026
COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement
IJCAI 2025
MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery
IJCAI 2025
MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction
AAAI 2025
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy
IJCAI 2025
RF-DTR: A Multi-Stage DCT Token Regression Network for Progressive Rib Fracture Mask Refinement
IJCAI 2025
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding
AAAI 2025
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
AAAI 2024
Graph Reasoning Transformers for Knowledge-Aware Question Answering
AAAI 2024
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis
IJCAI 2024
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
ICML 2024
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction
NeurIPS 2024
R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation
IJCAI 2024
A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept
AAAI 2023
Causal Intervention for Abstractive Related Work Generation
EMNLP 2023
Cross-Modal Distillation for Speaker Recognition
AAAI 2023
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
NeurIPS 2023
MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers
NeurIPS 2023
Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference
EMNLP 2023
Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications
ACL 2023
Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions
AAAI 2023
Temporal Tides of Emotional Resonance: A Novel Approach to Identify Mental Health on Social Media
AACL 2023
A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing
IJCAI 2022
Graph Learning based Recommender Systems: A Review
IJCAI 2021
Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data
AAAI 2021
Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning
IJCAI 2020
Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction
AAAI 2020
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data
AAAI 2020
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes
AAAI 2019
Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content
AAAI 2019
HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation
AAAI 2019
Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks
IJCAI 2019
Sequential Recommender Systems: Challenges, Progress and Prospects
IJCAI 2019
Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents
IJCAI 2018
Diversifying Personalized Recommendation with User-session Context
IJCAI 2017
Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis
IJCAI 2013