Bo Zong
13 papers · 2018–2023 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (10)
🌈
Renaissance Researcher
(6)
🐝
Cross-Pollinator
(10)
🧭
Keyword Pioneer
🤝
Dynamic Duo
(12)
👑
Triple Crown
🏆
Grand Slam
👥
Mega-Team
(23)
🔥
Unstoppable
(6)
💎
Century Club
(13)
📈
Trend Setter
🚀
Conference Pioneer
⚡
Prolific Year
(6)
🗃️
Keyword Collector
(65)
Conferences
AAAI (7)
ICLR (2)
ICML (1)
JMLR (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
multivariate time series
(4)
unsupervised learning
(3)
multi-task learning
(2)
anomaly detection
(2)
graph neural network
(2)
representation learning
(2)
time series forecasting
(2)
distributed computing
(1)
machine reading comprehension
(1)
variational inference
(1)
dependency parsing
(1)
deep learning
(1)
trend prediction
(1)
model interpretability
(1)
multilingual nlp
(1)
graph sparsification
(1)
user modeling
(1)
graph representation learning
(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
Unsupervised Concept Representation Learning for Length-Varying Text Similarity
NAACL 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
AAAI 2021
Multi-Task Recurrent Modular Networks
AAAI 2021
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation
AAAI 2020
Parameterized Explainer for Graph Neural Network
NIPS 2020
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series
AAAI 2020
Robust Graph Representation Learning via Neural Sparsification
ICML 2020
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval
AAAI 2020
Inductive and Unsupervised Representation Learning on Graph Structured Objects
ICLR 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