Bo Chang
7 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(13)
🚀
Conference Pioneer
Conferences
ICLR (3)
AISTATS (1)
ECCV (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
variational inference
(1)
density estimation
(1)
structure learning
(1)
graph representation learning
(1)
correlational learning
(1)
time series
(1)
stochastic process
(1)
monte carlo tree search
(1)
probabilistic graphical model
(1)
normalizing flow
(1)
vine copula
(1)
multivariate dependence
(1)
graph neural network
(1)
wiener process
(1)
latent ode
(1)
Papers
EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration
ICML 2025
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
ICLR 2021
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
NIPS 2020
Vine copula structure learning via Monte Carlo tree search
AISTATS 2019
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
ICLR 2019
Multi-level Residual Networks from Dynamical Systems View
ICLR 2018
Modular Generative Adversarial Networks
ECCV 2018