Yunchao Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Quantitative Structure Activity

Top Venues

IEEE Trans. Inf. Theory

Publications

Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. ICLR (2024)
Hsin-Yuan Huang, Yunchao Liu, Michael Broughton, Isaac Kim, Anurag Anshu, Zeph Landau, Jarrod R. McClean
Learning shallow quantum circuits. CoRR (2024)
Chi-Fang Chen, Jeongwan Haah, Jonas Haferkamp, Yunchao Liu, Tony Metger, Xinyu Tan
Incompressibility and spectral gaps of random circuits. CoRR (2024)
Hsin-Yuan Huang, Yunchao Liu, Michael Broughton, Isaac Kim, Anurag Anshu, Zeph Landau, Jarrod R. McClean
Learning Shallow Quantum Circuits. STOC (2024)
Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr
Edge Classification on Graphs: New Directions in Topological Imbalance. CoRR (2024)
Grace Zhang, Xiaohan Kuang, Yuhao Zhang, Yunchao Liu, Zhaoqian Su, Tom Zhang, Yinghao Wu
Machine-learning-based structural analysis of interactions between antibodies and antigens. Biosyst. 243 (2024)
Jeongwan Haah, Yunchao Liu, Xinyu Tan
Efficient approximate unitary designs from random Pauli rotations. CoRR (2024)
Yunchao Liu, Jie Gong
DRL-Based UAV Trajectory Planning for AoS and Energy Consumption Minimization Assisted by AoI. GLOBECOM (2023)
Yunchao Liu, Yu Wang, Oanh Vu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler, Tyler Derr
Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery. AAAI (2023)
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. CoRR (2023)
Dorit Aharonov, Xun Gao, Zeph Landau, Yunchao Liu, Umesh V. Vazirani
A Polynomial-Time Classical Algorithm for Noisy Random Circuit Sampling. STOC (2023)
Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr
Fairness and Diversity in Recommender Systems: A Survey. CoRR (2023)
Mingyue Cui, Yuzhang Zhu, Yechang Liu, Yunchao Liu, Gang Chen, Kai Huang
Dense Depth-Map Estimation Based on Fusion of Event Camera and Sparse LiDAR. IEEE Trans. Instrum. Meas. 71 (2022)
Adam Bouland, Bill Fefferman, Zeph Landau, Yunchao Liu
Noise and the Frontier of Quantum Supremacy. FOCS (2022)
Anurag Anshu, Zeph Landau, Yunchao Liu
Distributed Quantum inner product estimation. STOC (2022)
Adam Bouland, Bill Fefferman, Zeph Landau, Yunchao Liu
Noise and the frontier of quantum supremacy. CoRR (2021)
Adam Bouland, Bill Fefferman, Zeph Landau, Yunchao Liu
Noise and the Frontier of Quantum Supremacy. FOCS (2021)
Yunchao Liu, Srinivasan Arunachalam, Kristan Temme
A rigorous and robust quantum speed-up in supervised machine learning. CoRR (2020)
Yunchao Liu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler
Foldit Drug Design Game Usability Study: Comparison of Citizen and Expert Scientists. MIG (2020)
Qi Zhao, Yunchao Liu, Xiao Yuan, Eric Chitambar, Andreas J. Winter
One-Shot Coherence Distillation: Towards Completing the Picture. IEEE Trans. Inf. Theory 65 (10) (2019)
Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Learning to Describe Scenes with Programs. ICLR (Poster) (2019)
Qi Zhao, Yunchao Liu, Xiao Yuan, Eric Chitambar, Andreas J. Winter
One-Shot Coherence Distillation: The Full Story. CoRR (2018)