20 citations · 27 across the 8 of their papers we have counts for
9 papers
Learning When to Update: A Near-Optimal Timing Bandit Approach
Qiulin Lin, Junyan Su, Liyuan Wang +1
Systems operating in dynamic environments require timely updates to sustain performance. For resource-intensive systems such as machine learning models and digital twins, strategic…
Minimizing Carbon Footprint for Timely E-Truck Transportation: Hardness and Approximation Algorithm
Junyan Su, Qiulin Lin, Minghua Chen +1
Carbon footprint optimization (CFO) is important for sustainable heavy-duty e-truck transportation. We consider the CFO problem for timely transportation of e-trucks, where the tru…
Follow the Sun and Go with the Wind: Carbon Footprint Optimized Timely E-Truck Transportation
Junyan Su, Qiulin Lin, Minghua Chen
We study the carbon footprint optimization (CFO) of a heavy-duty e-truck traveling from an origin to a destination across a national highway network subject to a hard deadline, by…
Competitive Online Optimization with Multiple Inventories: A Divide-and-Conquer Approach
Qiulin Lin, Yanfang Mo, Junyan Su +1
We study a competitive online optimization problem with multiple inventories. In the problem, an online decision maker seeks to optimize the allocation of multiple capacity-limited…
Optimal Online Algorithms for Peak-Demand Reduction Maximization with Energy Storage
Yanfang Mo, Qiulin Lin, Minghua Chen +1
The high proportions of demand charges in electric bills motivate large-power customers to leverage energy storage for reducing the peak procurement from the outer grid. Given limi…
Optimal Online Peak Minimization Using Energy Storage
Yanfang Mo, Qiulin Lin, Minghua Chen +1
The significant presence of demand charges in electric bills motivates large-load customers to utilize energy storage to reduce the peak procurement from the grid. We herein study…
A Probabilistic Approach for Demand-Aware Ride-Sharing Optimization
Qiulin Lin, Wenjie Xu, Minghua Chen +1
Ride-sharing is a modern urban-mobility paradigm with tremendous potential in reducing congestion and pollution. Demand-aware design is a promising avenue for addressing a critical…
Competitive Online Optimization under Inventory Constraints
Qiulin Lin, Hanling Yi, John Pang +4
This paper studies online optimization under inventory (budget) constraints. While online optimization is a well-studied topic, versions with inventory constraints have proven diff…
Balancing Cost and Dissatisfaction in Online EV Charging under Real-time Pricing
Hanling Yi, Qiulin Lin, Minghua Chen
We consider an increasingly popular demand-response scenario where a user schedules the flexible electric vehicle (EV) charging load in response to real-time electricity prices. Th…