Get started
Author

Chao Qian

Observed name: Qian, Chao
ORCID: 0000-0001-6011-2512
Observed ORCIDs: 0000-0001-6011-2512, 0009-0005-6036-2550
OpenAlex ID: A5127786227
Multi-Agent Dynamic Algorithm Configuration
2022 · Ke Xue, Jiacheng Xu, et al. · neural information processing systems · 23
PDF
Monte Carlo Tree Search Based Variable Selection for High Dimensional Bayesian Optimization
2022 · Lei Song, Ke Xue, et al. · neural information processing systems · 21
PDF
Macro Placement by Wire-Mask-Guided Black-Box Optimization
2023 · Yunqi Shi, Ke Xue, et al. · neural information processing systems · 19
PDF
Energy and QoE Optimization for Mobile Video Streaming with Adaptive Brightness Scaling
2024 · Daibo Liu, Chao Qian, et al. · ACM Transactions on Sensor Networks · 3
Escaping Local Optima in Global Placement
2024 · Xue, Ke, Lin, Xi, et al. · arXiv (Cornell University) · 2
PDF
Rethinking Learnability in Offline Data-driven Optimization
2026 · Qian, Chao, Wang, Chen-Guang, et al. · arXiv (Cornell University)
PDF
SHSP: Structure-Aware Hierarchical Solution Prediction for Mixed-Integer Linear Programming
2026 · Zhang, Zherong, Li, Guanlin, et al. · arXiv (Cornell University)
PDF
Learning Early-to-Final Solution Consistency for MILP Acceleration
2026 · Li, Guanlin, Gao, Chengrui, et al. · arXiv (Cornell University)
PDF
Energy-efficient deep learning acceleration on resource-constrained FPGAs: from RTL design to application- and workload-aware optimization
2026 · Qian, Chao · Universitätsbibliographie, Universität Duisburg-Essen
FlowPlace: Flow Matching for Chip Placement
2026 · Peng Xie, Ke Xue, et al. · ACM/IEEE Design Automation Conference (DAC)
PDF
Robust Length Prediction: A Perspective from Heavy-Tailed Prompt-Conditioned Distributions
2026 · Wang, Jing, Qian, Yu-Yang, et al. · arXiv (Cornell University)
PDF
Advancing Automated Algorithm Design via Evolutionary Stagewise Design with LLMs
2026 · Lu, Chen, Xue, Ke, et al. · arXiv (Cornell University)
PDF
On the Learnability of Offline Model-Based Optimization: A Ranking Perspective
2026 · Lyu, Shen-Huan, Tan, Rong-Xi, et al. · arXiv (Cornell University)
PDF
PRICAI 2025: Trends in Artificial Intelligence
2026 · Yi Mei, Chao Qian, et al. · Lecture notes in computer science
Works count: 17
Citation count: 69
H-index: 3
I10-index: 3
Year
Topic
Type