Sotabase

Career

· Researcher/Author, OpenReview2022–
· PhD Student in Operations Research, UC Berkeley2022–
· Graduate Student, UC Berkeley IEOR Department2022–

Publications (15)

Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning
SDM · 2024
11
cited
Neural Network-Assisted Simulation Optimization with Covariates
Online World Conference on Soft Computing in Industrial Applications · 2021
8
cited
Contextual Gaussian Process Bandits with Neural Networks
Neural Information Processing Systems · 2023
5
cited
Reinforcement-Learning Portfolio Allocation with Dynamic Embedding of Market Information
arXiv.org · 2025
5
cited
Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery
arXiv.org · 2024
2
cited
Daily Physical Activity Monitoring - Adaptive Learning from Multi-source Motion Sensor Data
arXiv.org · 2024
2
cited
Enhancing Language Model with Both Human and Artificial Intelligence Feedback Data
Online World Conference on Soft Computing in Industrial Applications · 2024
2
cited
2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond
Knowledge Discovery and Data Mining · 2023
1
cited
A Preliminary Study on Accelerating Simulation Optimization With GPU Implementation
Online World Conference on Soft Computing in Industrial Applications · 2024
1
cited
Language Model Prompt Selection via Simulation Optimization
arXiv.org · 2024
1
cited
An Anti-Collision Algorithm for Applications with Massive RFID Tags
2013
Causal inference with Machine Learning-Based Covariate Representation
2023
Daily Physical Activity Monitoring: Adaptive Learning from Multi-source Motion Sensor Data
ACM Conference on Health, Inference, and Learning · 2024
Online Document for WSC 2021 con132
Social Science Research Network · 2021
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Jinghai He | Researcher Profile | Sotabase | Sotabase