Bo Zong

13 papers · 2018–2023 · 6 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🏃 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

Wei Cheng (12) Haifeng Chen (12) Jingchao Ni (10) Dongjin Song (8) Yanchi Liu (6) Wenchao Yu (5) Xuchao Zhang (4) Dongkuan Xu (3) Cristian Lumezanu (3) Xiang Zhang (3)

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