Publications

Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights

SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

ClawsBench: Evaluating Capability and Safety of LLM Productivity Agents in Simulated Workspaces

Latent Spherical Flow Policy for Reinforcement Learning with Combinatorial Actions

Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling

Outbound Load Planning in Parcel Delivery Service Networks Using Machine Learning and Optimization

Compact Optimality Verification for Optimization Proxies

Real-Time Risk Analysis with Optimization Proxies

End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch

Compact Optimization Learning for AC Optimal Power Flow

Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments

Two-Stage Learning for the Flexible Job Shop Scheduling Problem

Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch

Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation

Improving Learning to Branch via Reinforcement Learning

Privacy-Preserving Online Task Allocation in Edge-Computing-Enabled Massive Crowdsensing

Privacy-Preserving Online Learning Approach for Incentive-based Demand Response in Smart Grid