Liang Hu
37 papers · 2013–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Academic Marathon (12)
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Academic Marathon
(12)
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Cross-Pollinator
(12)
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Renaissance Researcher
(14)
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Dynamic Duo
(20)
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Keyword Champion
(2)
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Conference Pioneer
π₯
Unstoppable
(9)
ποΈ
Keyword Collector
(182)
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Century Club
(36)
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Trend Setter
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Prolific Year
(5)
Conferences
AAAI (14)
IJCAI (14)
NIPS (3)
EMNLP (2)
AACL (1)
ACL (1)
ICML (1)
IJCNLP (1)
Top co-authors
Research topics
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
RF-DTR: A Multi-Stage DCT Token Regression Network for Progressive Rib Fracture Mask Refinement
IJCAI 2025
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy
IJCAI 2025
MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction
AAAI 2025
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
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
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
R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation
IJCAI 2024
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction
NIPS 2024
Graph Reasoning Transformers for Knowledge-Aware Question Answering
AAAI 2024
Causal Intervention for Abstractive Related Work Generation
EMNLP 2023
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
NIPS 2023
Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions
AAAI 2023
A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept
AAAI 2023
Cross-Modal Distillation for Speaker Recognition
AAAI 2023
Temporal Tides of Emotional Resonance: A Novel Approach to Identify Mental Health on Social Media
AACL 2023
Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications
ACL 2023
MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers
NIPS 2023
Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference
EMNLP 2023
Temporal Tides of Emotional Resonance: A Novel Approach to Identify Mental Health on Social Media
IJCNLP 2023
A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing
IJCAI 2022
Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data
AAAI 2021
Graph Learning based Recommender Systems: A Review
IJCAI 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
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
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
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