Hong Huang
12 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
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(5)
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Century Club Β· Bronze
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Research topics
Deep Learning
(8)
Machine Learning
(8)
Artificial Intelligence
(5)
Architectures
(5)
Core AI
(5)
Application Areas
(4)
Core Methods
(4)
Optimization & Theory Β· Deep Learning
(3)
Knowledge & Reasoning
(2)
Optimization & Theory Β· Machine Learning
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Learning Paradigms Β· Artificial Intelligence
(1)
Learning Paradigms Β· Machine Learning
(1)
Keywords
graph neural network
(3)
link prediction
(3)
model compression
(2)
hawkes process
(2)
node classification
(2)
memory efficiency
(2)
network embedding
(2)
temporal network embedding
(2)
attention mechanism
(2)
adversarial learning
(1)
graph partitioning
(1)
heterogeneous information network
(1)
distributed training
(1)
semantic information
(1)
model quantization
(1)
distributed computing
(1)
representation learning
(1)
parameter-efficient fine-tuning
(1)
node embedding
(1)
causal discovery
(1)
Papers
Sherry: Hardware-Efficient 1.25-Bit Ternary Quantization via Fine-grained Sparsification
ACL 2026
Beehive: A Scalable Disaggregated Memory Runtime Exploiting Asynchrony of Multithreaded Programs
NSDI 2025
MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
MICCAI 2025
Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis
ACL 2025
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs
AAAI 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections
NeurIPS 2024
CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention
IJCAI 2024
FedMef: Towards Memory-efficient Federated Dynamic Pruning
CVPR 2024
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
NeurIPS 2023
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction
ACL 2021
Temporal Heterogeneous Information Network Embedding
IJCAI 2021
Motif-Preserving Temporal Network Embedding
IJCAI 2020