6 papers
LLM-Augmented Digital Twin for Policy Evaluation in Short-Video Platforms
Haoting Zhang, Yunduan Lin, Jinghai He +3
Short-video platforms are closed-loop, human-in-the-loop ecosystems where platform policy, creator incentives, and user behavior co-evolve. This feedback structure makes counterfac…
Reinforcement-Learning Portfolio Allocation with Dynamic Embedding of Market Information
Jinghai He, Cheng Hua, Chunyang Zhou +1
We develop a portfolio allocation framework that leverages deep learning techniques to address challenges arising from high-dimensional, non-stationary, and low-signal-to-noise mar…
Daily Physical Activity Monitoring -- Adaptive Learning from Multi-source Motion Sensor Data
Haoting Zhang, Donglin Zhan, Yunduan Lin +4
In healthcare applications, there is a growing need to develop machine learning models that use data from a single source, such as that from a wrist wearable device, to monitor phy…
Language Model Prompt Selection via Simulation Optimization
Haoting Zhang, Jinghai He, Rhonda Righter +1
With the advancement in generative language models, the selection of prompts has gained significant attention in recent years. A prompt is an instruction or description provided by…
Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery
Jinghai He, Cheng Hua, Yingfei Wang +1
Drug discovery is a complex process that involves sequentially screening and examining a vast array of molecules to identify those with the target properties. This process, also re…
A Preliminary Study on Accelerating Simulation Optimization with GPU Implementation
Jinghai He, Haoyu Liu, Yuhang Wu +2
We provide a preliminary study on utilizing GPU (Graphics Processing Unit) to accelerate computation for three simulation optimization tasks with either first-order or second-order…