Shixiong Kai

LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement

CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning

Towards LLM4Floorplan: Agents Can Do What Engineers Do in Chip Design

Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms

Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer

FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation

Multi-agent Trajectory Prediction with Scalable Diffusion Transformer