20 citations · 48 across the 10 of their papers we have counts for
10 papers
UrgenGo: Urgency-Aware Transparent GPU Kernel Launching for Autonomous Driving
Hanqi Zhu, Wuyang Zhang, Xinran Zhang +5
The rapid advancements in autonomous driving have introduced increasingly complex, real-time GPU-bound tasks critical for reliable vehicle operation. However, the proprietary natur…
\(X\)-evolve: Solution space evolution powered by large language models
Yi Zhai, Zhiqiang Wei, Ruohan Li +7
While combining large language models (LLMs) with evolutionary algorithms (EAs) shows promise for solving complex optimization problems, current approaches typically evolve individ…
Map++: Towards User-Participatory Visual SLAM Systems with Efficient Map Expansion and Sharing
Xinran Zhang, Hanqi Zhu, Yifan Duan +5
Constructing precise 3D maps is crucial for the development of future map-based systems such as self-driving and navigation. However, generating these maps in complex environments,…
CLMASP: Coupling Large Language Models with Answer Set Programming for Robotic Task Planning
Xinrui Lin, Yangfan Wu, Huanyu Yang +3
Large Language Models (LLMs) possess extensive foundational knowledge and moderate reasoning abilities, making them suitable for general task planning in open-world scenarios. Howe…
TrajMatch: Towards Automatic Spatio-temporal Calibration for Roadside LiDARs through Trajectory Matching
Haojie Ren, Sha Zhang, Sugang Li +5
Recently, it has become popular to deploy sensors such as LiDARs on the roadside to monitor the passing traffic and assist autonomous vehicle perception. Unlike autonomous vehicle…
PFilter: Building Persistent Maps through Feature Filtering for Fast and Accurate LiDAR-based SLAM
Yifan Duan, Jie Peng, Yu Zhang +2
Simultaneous localization and mapping (SLAM) based on laser sensors has been widely adopted by mobile robots and autonomous vehicles. These SLAM systems are required to support acc…
Quingo: A Programming Framework for Heterogeneous Quantum-Classical Computing with NISQ Features
The Quingo Development Team
The increasing control complexity of Noisy Intermediate-Scale Quantum (NISQ) systems underlines the necessity of integrating quantum hardware with quantum software. While mapping h…
CODAR: A Contextual Duration-Aware Qubit Mapping for Various NISQ Devices
Haowei Deng, Yu Zhang, Quanxi Li
Quantum computing devices in the NISQ era share common features and challenges like limited connectivity between qubits. Since two-qubit gates are allowed on limited qubit pairs, q…
Context-Sensitive and Duration-Aware Qubit Mapping for Various NISQ Devices
Yu Zhang, Haowei Deng, Quanxi Li
Quantum computing (QC) technologies have reached a second renaissance in the last decade. Some fully programmable QC devices have been built based on superconducting or ion trap te…
Optimizing Quantum Programs against Decoherence: Delaying Qubits into Quantum Superposition
Yu Zhang, Haowei Deng, Quanxi Li +2
Quantum computing technology has reached a second renaissance in the last decade. However, in the NISQ era pointed out by John Preskill in 2018, quantum noise and decoherence, whic…