Zhaocheng Liu

Orcid: 0000-0001-6623-9231

According to our database1, Zhaocheng Liu authored at least 33 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Implicit-Explicit simulation of Mass-Spring-Charge Systems.
CoRR, 2024

2023
Hybrid hierarchical learning for solving complex sequential tasks using the robotic manipulation network ROMAN.
Nat. Mac. Intell., September, 2023

RObotic MAnipulation Network (ROMAN) - Hybrid Hierarchical Learning for Solving Complex Sequential Tasks.
CoRR, 2023

Multi-Epoch Learning for Deep Click-Through Rate Prediction Models.
CoRR, 2023

Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation.
CoRR, 2023

Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System.
IROS, 2023

Agile and Versatile Robot Locomotion via Kernel-based Residual Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Hypersphere Optimization: Approximated Gradient-Based Binary Optimization on Smooth Manifold for Photonic Inverse Design.
CoRR, 2022

Improving Multi-Interest Network with Stable Learning.
CoRR, 2022

LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction.
CoRR, 2022

Deep Stable Representation Learning on Electronic Health Records.
Proceedings of the IEEE International Conference on Data Mining, 2022

Slimmable Video Codec.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
A Comprehensive Framework for Analysis of Time-Dependent Performance-Reliability Degradation of SRAM Cache Memory.
IEEE Trans. Very Large Scale Integr. Syst., 2021

Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains.
CoRR, 2021

DNN2LR: Automatic Feature Crossing for Credit Scoring.
CoRR, 2021

STAN: Spatio-Temporal Attention Network for Next Location Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Mining Cross Features for Financial Credit Risk Assessment.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Deep Active Learning for Text Classification with Diverse Interpretations.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Simplifying Graph Convolutional Networks as Matrix Factorization.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020
A Hybrid Strategy for the Discovery and Design of Photonic Structures.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data.
CoRR, 2020

Deep Active Learning by Model Interpretability.
CoRR, 2020

Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective.
CoRR, 2020

Multifunctional Meta-Optic Systems: Inversely Designed with Artificial Intelligence.
CoRR, 2020

An Empirical Study on Feature Discretization.
CoRR, 2020

Inverse Design of FinFET SRAM Cells.
Proceedings of the 2020 IEEE International Reliability Physics Symposium, 2020

Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
CPM-sensitive AUC for CTR prediction.
CoRR, 2019

Metasurfaces for near-eye augmented reality.
CoRR, 2019

Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
A Generative Model for Inverse Design of Metamaterials.
CoRR, 2018

2010
A Hybrid Password Authentication Scheme Based on Shape and Text.
J. Comput., 2010

2009
Modelling and Prediction of the CNY Exchange Rate Using RBF Neural Network.
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009


  Loading...