Li Xia

Reinforcement learning for building controls: The opportunities and challenges

A review of reinforcement learning methodologies for controlling occupant comfort in buildings

Wireless Communication Technologies for Safe Cooperative Cyber Physical Systems

Optimal control of HVAC and window systems for natural ventilation through reinforcement learning

Doing Topology Optimization Explicitly and Geometrically—A New Moving Morphable Components Based Framework

Application of deep Q-networks for model-free optimal control balancing between different HVAC systems

Optimizing legacy building operation: The evolution into data-driven predictive cyber-physical systems

Sustainable Queuing-Network Design for Airport Security Based on the Monte Carlo Method

Event-Based Optimization Within the Lagrangian Relaxation Framework for Energy Savings in HVAC Systems

The multi-modal fusion in visual question answering: a review of attention mechanisms

A Survey on Visual Transformer

Performance based thermal comfort control (PTCC) using deep reinforcement learning for space cooling

Reinforcement learning for demand response: A review of algorithms and modeling techniques

Recent development in structural design and optimization

Attention mechanisms in computer vision: A survey

LightLearn: An adaptive and occupant centered controller for lighting based on reinforcement learning

Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiency

A tutorial on event-based optimization—a new optimization framework

Performance optimization of queueing systems with perturbation realization

Policy iteration for customer-average performance optimization of closed queueing systems

Satisfaction based Q-learning for integrated lighting and blind control

Is Attention Better Than Matrix Decomposition?

Topology optimization for minimum compliance under multiple loads based on continuous distribution of members