3 papers
cs.AI2026
Interpreting Neural Combinatorial Optimization via Evolving Programmatic Bottlenecks
Haocheng Duan, Yuxin Guo, Jieyi Bi +4
Neural Combinatorial Optimization (NCO) achieves strong performance, yet its black-box nature remains a key roadblock to deployment and scientific diagnosis. Standard interpretabil…
cs.LG2025
Know Unreported Roadway Incidents in Real-time: Early Traffic Anomaly Detection
Haocheng Duan, Hao Wu, Sean Qian
This research aims to know traffic anomalies as early as possible. A traffic anomaly refers to a generic incident on the road that influences traffic flow and calls for urgent traf…
cs.LG2024
Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditions
Zemian Ke, Haocheng Duan, Sean Qian
Non-recurrent conditions caused by incidents are different from recurrent conditions that follow periodic patterns. Existing traffic speed prediction studies are incident-agnostic…