Sheng Huang
19 papers · 2015–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (6)
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Academic Marathon
(10)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(6)
🔥
Unstoppable
(5)
💎
Century Club
(17)
⚡
Prolific Year
(7)
🗃️
Keyword Collector
(85)
Conferences
AAAI (6)
IJCAI (4)
CVPR (2)
ICML (2)
ACL (1)
CONLL (1)
EMNLP (1)
ICCV (1)
SEMEVAL (1)
Top co-authors
Keywords
federated learning
(3)
knowledge distillation
(3)
graph neural network
(3)
optimal transport
(2)
zero-shot learning
(2)
attention mechanism
(2)
semantic dependency parsing
(2)
domain adaptation
(2)
contrastive learning
(2)
prototype learning
(2)
representation learning
(2)
multiple instance learning
(2)
multi-label classification
(2)
feature learning
(1)
self-supervised learning
(1)
transformer architecture
(1)
graph classification
(1)
dependency parsing
(1)
semantic parsing
(1)
syntactic parsing
(1)
Papers
Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting
AAAI 2026
U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions
AAAI 2026
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data
AAAI 2025
Towards Understanding Parametric Generalized Category Discovery on Graphs
ICML 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
AAAI 2025
Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering
IJCAI 2025
Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective
ICML 2025
Federated Domain Generalization with Decision Insight Matrix
IJCAI 2025
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data
IJCAI 2025
Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition
AAAI 2024
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
CVPR 2024
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification
ICCV 2023
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation
IJCAI 2022
Deep Semantic Dictionary Learning for Multi-label Image Classification
AAAI 2021
CUNY-PKU Parser at SemEval-2019 Task 1: Cross-Lingual Semantic Parsing with UCCA
SEMEVAL 2019
Neural Maximum Subgraph Parsing for Cross-Domain Semantic Dependency Analysis
CONLL 2018
Parsing to 1-Endpoint-Crossing, Pagenumber-2 Graphs
ACL 2017
Quasi-Second-Order Parsing for 1-Endpoint-Crossing, Pagenumber-2 Graphs
EMNLP 2017
Learning Hypergraph-Regularized Attribute Predictors
CVPR 2015