12 citations · 14 across the 7 of their papers we have counts for
8 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…
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles
Ling Gao, Junyan Su, Jiadi Cui +3
The motion of planar ground vehicles is often non-holonomic, and as a result may be modelled by the 2 DoF Ackermann steering model. We analyse the feasibility of estimating such mo…
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…
Distributed Multi-Building Coordination for Demand Response
Junyan Su, Yuning Jiang, Altug Bitlislioglu +2
This paper presents a distributed optimization algorithm tailored for solving optimal control problems arising in multi-building coordination. The buildings coordinated by a grid o…