Yunchao Liu

According to our database, Yunchao Liu authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Efficient approximate unitary designs from random Pauli rotations.

Jeongwan Haah, Yunchao Liu, Xinyu Tan

CoRR, 2024

Learning shallow quantum circuits.

Hsin-Yuan Huang, Yunchao Liu, Michael Broughton, Isaac Kim, Anurag Anshu, Zeph Landau, Jarrod R. McClean

CoRR, 2024

2023

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance.

Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr

CoRR, 2023

Fairness and Diversity in Recommender Systems: A Survey.

Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr

CoRR, 2023

A Polynomial-Time Classical Algorithm for Noisy Random Circuit Sampling.

Dorit Aharonov, Xun Gao, Zeph Landau, Yunchao Liu, Umesh V. Vazirani

Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

DRL-Based UAV Trajectory Planning for AoS and Energy Consumption Minimization Assisted by AoI.

Yunchao Liu, Jie Gong

Proceedings of the IEEE Global Communications Conference, 2023

Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery.

Yunchao Liu, Yu Wang, Oanh Vu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler, Tyler Derr

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Dense Depth-Map Estimation Based on Fusion of Event Camera and Sparse LiDAR.

Mingyue Cui, Yuzhang Zhu, Yechang Liu, Yunchao Liu, Gang Chen, Kai Huang

IEEE Trans. Instrum. Meas., 2022

Distributed Quantum inner product estimation.

Anurag Anshu, Zeph Landau, Yunchao Liu

Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

2021

Noise and the Frontier of Quantum Supremacy.

Adam Bouland, Bill Fefferman, Zeph Landau, Yunchao Liu

Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021

2020

A rigorous and robust quantum speed-up in supervised machine learning.

Yunchao Liu, Srinivasan Arunachalam, Kristan Temme

CoRR, 2020

Foldit Drug Design Game Usability Study: Comparison of Citizen and Expert Scientists.

Yunchao Liu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler

Proceedings of the MIG '20: Motion, 2020

2019

One-Shot Coherence Distillation: Towards Completing the Picture.

Qi Zhao, Yunchao Liu, Xiao Yuan, Eric Chitambar, Andreas J. Winter

IEEE Trans. Inf. Theory, 2019

Learning to Describe Scenes with Programs.

Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

One-Shot Coherence Distillation: The Full Story.

Qi Zhao, Yunchao Liu, Xiao Yuan, Eric Chitambar, Andreas J. Winter

CoRR, 2018