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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Weitong Zhang
About me
Posts
Traveling in United States
Published:
Traveling in United States, and not including the ‘connection airports’ such like IAH or ORD.
How to deploy this website?
Published:
Jekyll-scholar
publications
A simulation system and speed guidance algorithms for intersection traffic control using connected vehicle technology
Published in Tsinghua Science and Technology, 2018
A Finite Time Analysis of Two Time-Scale Actor Critic Methods
Published in In Proc. of Advances in Neural Information Processing Systems (NeurIPS) 33, 2020., 2020
Epidemic Model Guided Machine Learning for COVID-19 Forecasts in the United States
Published in medRxiv preprint, 2020
Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the us
Published in medRxiv preprint, 2020
Neural Thompson Sampling
Published in In Proc. of 9th International Conference on Learning Representations (ICLR), 2021, 2020
Provably Efficient Representation Learning in Low-rank Markov Decision Processes
Published in Uncertainty in Artificial Intelligence (UAI) 23, 2021
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation
Published in In Proc. of Advances in Neural Information Processing Systems (NeurIPS) 34, 2021., 2021
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
Published in Proceedings of the National Academy of Sciences (PNAS), 2022
Learning neural contextual bandits through perturbed rewards
Published in In Proc. of 10th International Conference on Learning Representations (ICLR), 2022, 2022
Electrochemical mechanistic analysis from cyclic voltammograms based on deep learning
Published in ACS Measurement Science Au, 2022
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits
Published in International Conference on Machine Learning (ICML) 2023, 2023
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs
Published in International Conference on Machine Learning (ICML) 2023, 2023
Multiple models for outbreak decision support in the face of uncertainty
Published in Proceedings of the National Academy of Sciences (PNAS), 2023
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs
Published in arXiv preprint, 2023
DiffMol: 3D Structured Molecule Generation with Discrete Denoising Diffusion Probabilistic Models
Published in ICML 2023 workshop on Structured Probabilistic Inference & Generative Modeling, 2023
talks
Introduction to Graph Neural Networks and Diffusion Models
Published:
Introduction to Graph Neural Networks and Diffusion Models
Uncertainty-Aware Unsupervised and Robust Reinforcement Learning
Published:
Uncertainty-Aware Unsupervised and Robust Reinforcement Learning
From Bayesian Optimization to Bandits and RL
Published:
From Bayesian Optimization to Bandits and RL
teaching
Introductory Digital Design Laboratory
CS M152A, Lab 1, 2021 Spring, UCLA, Department of Computer Science
Introductory Digital Design Laboratory
CS M152A, Lab 3, 2021 Fall, UCLA, Department of Computer Science
Fundamentals of Artificial Intelligence
CS 161, Dis 1C, 2022 Winter, UCLA, Department of Computer Science
Fundamentals of Artificial Intelligence
CS 161, Dis 1C, 2023 Winter, UCLA, Department of Computer Science