Bo Zong
13 papers · 2018–2023 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
π₯
Mega-Team Β· Squad
π€
Dynamic Duo
(12)
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Conference Pioneer
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Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(70)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(10)
Core Methods
(10)
Learning Types Β· Machine Learning
(9)
Data Science & Analytics
(6)
Architectures
(6)
Methods
(5)
Artificial Intelligence
(3)
Learning Types Β· Deep Learning
(3)
Techniques
(3)
Application Areas
(2)
Core AI
(2)
Models
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Keywords
multivariate time series
(4)
unsupervised learning
(4)
representation learning
(2)
unsupervised anomaly detection
(2)
gaussian mixture model
(2)
anomaly detection
(2)
graph neural network
(2)
inductive learning
(2)
graph representation learning
(2)
multi-task learning
(2)
time series forecasting
(2)
deep learning
(1)
machine reading comprehension
(1)
distributed computing
(1)
dependency parsing
(1)
variational inference
(1)
reconstruction error
(1)
multilingual nlp
(1)
parameter sharing
(1)
attention mechanism
(1)
Papers
Merlion: End-to-End Machine Learning for Time Series
JMLR 2023
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph
AAAI 2022
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
AAAI 2021
Multi-Task Recurrent Modular Networks
AAAI 2021
Unsupervised Concept Representation Learning for Length-Varying Text Similarity
NAACL 2021
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation
AAAI 2020
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval
AAAI 2020
Inductive and Unsupervised Representation Learning on Graph Structured Objects
ICLR 2020
Parameterized Explainer for Graph Neural Network
NeurIPS 2020
Robust Graph Representation Learning via Neural Sparsification
ICML 2020
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series
AAAI 2020
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
AAAI 2019
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
ICLR 2018