Hongzhi Yin
18 papers · 2017–2026 · 6 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 (45) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Trend Setter
ποΈ
Keyword Collector
(104)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Silver
β
The Questioner
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(16)
Deep Learning
(10)
Learning Types Β· Machine Learning
(10)
Core Methods
(9)
Architectures
(8)
Application Areas
(7)
Artificial Intelligence
(5)
Data Science & Analytics
(5)
Applications
(5)
Core AI
(4)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(3)
Healthcare & Medicine
(2)
Learning Paradigms
(2)
Interdisciplinary
(1)
Keywords
graph neural network
(5)
recommender system
(3)
poi recommendation
(3)
recurrent neural network
(3)
multi-task learning
(2)
sequential recommendation
(2)
data augmentation
(2)
point-of-interest recommendation
(2)
online learning
(1)
attention mechanism
(1)
representation learning
(1)
knowledge distillation
(1)
natural language inference
(1)
self-supervised learning
(1)
collaborative filtering
(1)
metric learning
(1)
model forgetting
(1)
machine unlearning
(1)
regret minimization
(1)
graph anomaly detection
(1)
Papers
SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World
AAAI 2026
Efficient Traffic Prediction Through Spatio-Temporal Distillation
AAAI 2025
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
ICML 2025
Rethinking Cancer Gene Identification Through Graph Anomaly Analysis
AAAI 2025
Training-free LLM Merging for Multi-task Learning
ACL 2025
Distribution-Aware Data Expansion with Diffusion Models
NeurIPS 2024
Imbalanced Node Classification Beyond Homophilic Assumption
IJCAI 2023
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment
ACL 2023
Switchable Online Knowledge Distillation
ECCV 2022
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation
IJCAI 2021
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
IJCAI 2021
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
AAAI 2021
Discovering Subsequence Patterns for Next POI Recommendation
IJCAI 2020
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation
AAAI 2020
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
AAAI 2019
Inferring Substitutable Products with Deep Network Embedding
IJCAI 2019
LC-RNN: A Deep Learning Model for Traffic Speed Prediction
IJCAI 2018
Retaining Data from Streams of Social Platforms with Minimal Regret
IJCAI 2017