Yunchao Liu

Orcid: 0000-0003-1297-6396

According to our database1, Yunchao Liu authored at least 24 papers between 2018 and 2025.

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Bibliography

2025
Fairness and Diversity in Recommender Systems: A Survey.
ACM Trans. Intell. Syst. Technol., February, 2025

Edge Classification on Graphs: New Directions in Topological Imbalance.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

On Fault Tolerant Single-Shot Logical State Preparation and Robust Long-Range Entanglement.
Proceedings of the 16th Innovations in Theoretical Computer Science Conference, 2025

2024
Learning quantum states prepared by shallow circuits in polynomial time.
CoRR, 2024

Incompressibility and spectral gaps of random circuits.
CoRR, 2024

Machine-learning-based structural analysis of interactions between antibodies and antigens.
Biosyst., 2024

UAV's Visit Scheduling for Age-of-Synchronization Minimization with Random Update Sensors.
Proceedings of the 22nd International Symposium on Modeling and Optimization in Mobile, 2024

Trajectory Planning of Rechargeable UAVs for AoS Minimization in IoT Networks.
Proceedings of the 16th International Conference on Wireless Communications and Signal Processing, 2024

Learning Shallow Quantum Circuits.
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Efficient Approximate Unitary Designs from Random Pauli Rotations.
Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024

Quantum Computational Advantage with Constant-Temperature Gibbs Sampling.
Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024

2023
A Polynomial-Time Classical Algorithm for Noisy Random Circuit Sampling.
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.
Proceedings of the IEEE Global Communications Conference, 2023

Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery.
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.
IEEE Trans. Instrum. Meas., 2022

Distributed Quantum inner product estimation.
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.
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.
CoRR, 2020

Foldit Drug Design Game Usability Study: Comparison of Citizen and Expert Scientists.
Proceedings of the MIG '20: Motion, 2020

2019
One-Shot Coherence Distillation: Towards Completing the Picture.
IEEE Trans. Inf. Theory, 2019

Learning to Describe Scenes with Programs.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
One-Shot Coherence Distillation: The Full Story.
CoRR, 2018


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