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ORCIDZhaocheng Liu
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2020 – today
- 2024
[j5]Zhaocheng Liu, Fei Yang
, Defa Wang, Marc Górriz Blanch, Luka Murn, Shuai Wan, Saiping Zhang, Marta Mrak, Luis Herranz:
A slimmable framework for practical neural video compression. Neurocomputing 610: 128525 (2024)- [i25]Zhiyuan Zhang, Zhaocheng Liu, Stefanos Papanicolopulos, Kartic Subr:
Implicit-Explicit simulation of Mass-Spring-Charge Systems. CoRR abs/2403.03005 (2024) - [i24]Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai:
Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. CoRR abs/2405.03988 (2024) - [i23]Zhongxiang Fan, Zhaocheng Liu, Jian Liang, Dongying Kong, Han Li, Peng Jiang, Shuang Li, Kun Gai:
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction. CoRR abs/2407.01607 (2024) - 2023
- [j4]Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li:
Hybrid hierarchical learning for solving complex sequential tasks using the robotic manipulation network ROMAN. Nat. Mac. Intell. 5(9): 991-1005 (2023) - [c12]Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei, Zhibin Li:
Agile and Versatile Robot Locomotion via Kernel-based Residual Learning. ICRA 2023: 5148-5154 - [c11]Wenbin Hu, Fernando Acero, Eleftherios Triantafyllidis, Zhaocheng Liu, Zhibin Li:
Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System. IROS 2023: 944-951 - [i22]Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei, Zhibin Li:
Agile and Versatile Robot Locomotion via Kernel-based Residual Learning. CoRR abs/2302.07343 (2023) - [i21]Qiang Liu, Zhaocheng Liu, Zhenxi Zhu, Shu Wu, Liang Wang:
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation. CoRR abs/2304.05615 (2023) - [i20]Zhaocheng Liu, Zhongxiang Fan, Jian Liang, Dongying Kong, Han Li:
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models. CoRR abs/2305.19531 (2023) - [i19]Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li:
RObotic MAnipulation Network (ROMAN) - Hybrid Hierarchical Learning for Solving Complex Sequential Tasks. CoRR abs/2307.00125 (2023) - [i18]Wenbin Hu, Fernando Acero, Eleftherios Triantafyllidis, Zhaocheng Liu, Zhibin Li:
Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System. CoRR abs/2312.13987 (2023) - 2022
- [c10]Zhaocheng Liu, Luis Herranz, Fei Yang, Saiping Zhang, Shuai Wan, Marta Mrak, Marc Górriz Blanch:
Slimmable Video Codec. CVPR Workshops 2022: 1742-1746 - [c9]Yingtao Luo, Zhaocheng Liu, Qiang Liu:
Deep Stable Representation Learning on Electronic Health Records. ICDM 2022: 1077-1082 - [i17]Zhaocheng Liu, Luis Herranz, Fei Yang, Saiping Zhang, Shuai Wan, Marta Mrak, Marc Górriz Blanch:
Slimmable Video Codec. CoRR abs/2205.06754 (2022) - [i16]Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song:
LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. CoRR abs/2206.00267 (2022) - [i15]Zhaocheng Liu, Yingtao Luo, Di Zeng, Qiang Liu, Daqing Chang, Dongying Kong, Zhi Chen:
Improving Multi-Interest Network with Stable Learning. CoRR abs/2207.07910 (2022) - [i14]Yingtao Luo, Zhaocheng Liu, Qiang Liu:
Deep Stable Representation Learning on Electronic Health Records. CoRR abs/2209.01321 (2022) - [i13]Zhaocheng Liu:
Hypersphere Optimization: Approximated Gradient-Based Binary Optimization on Smooth Manifold for Photonic Inverse Design. CoRR abs/2209.02129 (2022) - 2021
- [j3]Rui Zhang, Kexin Yang, Zhaocheng Liu, Taizhi Liu, Wenshan Cai, Linda Milor:
A Comprehensive Framework for Analysis of Time-Dependent Performance-Reliability Degradation of SRAM Cache Memory. IEEE Trans. Very Large Scale Integr. Syst. 29(5): 857-870 (2021) - [c8]Qiang Liu, Haoli Zhang, Zhaocheng Liu:
Simplifying Graph Convolutional Networks as Matrix Factorization. APWeb/WAIM (1) 2021: 35-43 - [c7]Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu:
Mining Cross Features for Financial Credit Risk Assessment. CIKM 2021: 1069-1078 - [c6]Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu:
Deep Active Learning for Text Classification with Diverse Interpretations. CIKM 2021: 3263-3267 - [c5]Yingtao Luo, Qiang Liu, Zhaocheng Liu:
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. WWW 2021: 2177-2185 - [i12]Yingtao Luo, Qiang Liu, Zhaocheng Liu:
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. CoRR abs/2102.04095 (2021) - [i11]Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu:
DNN2LR: Automatic Feature Crossing for Credit Scoring. CoRR abs/2102.12036 (2021) - [i10]Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu:
Deep Active Learning for Text Classification with Diverse Interpretations. CoRR abs/2108.10687 (2021) - [i9]Zhaocheng Liu, Fernando Acero, Zhibin Li:
Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains. CoRR abs/2109.04322 (2021) - 2020
- [j2]Zhaocheng Liu, Lakshmi Raju, Dayu Zhu, Wenshan Cai:
A Hybrid Strategy for the Discovery and Design of Photonic Structures. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(1): 126-135 (2020) - [c4]Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang:
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions. CIKM 2020: 2285-2288 - [c3]Rui Zhang, Zhaocheng Liu, Kexin Yang, Taizhi Liu, Wenshan Cai, Linda Milor:
Inverse Design of FinFET SRAM Cells. IRPS 2020: 1-6 - [i8]Qiang Liu, Zhaocheng Liu, Haoli Zhang:
An Empirical Study on Feature Discretization. CoRR abs/2004.12602 (2020) - [i7]Dayu Zhu, Zhaocheng Liu, Lakshmi Raju, Andrew S. Kim, Wenshan Cai:
Multifunctional Meta-Optic Systems: Inversely Designed with Artificial Intelligence. CoRR abs/2007.00130 (2020) - [i6]Qiang Liu, Haoli Zhang, Zhaocheng Liu:
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective. CoRR abs/2007.09036 (2020) - [i5]Qiang Liu, Zhaocheng Liu, Xiaofang Zhu, Yeliang Xiu, Jun Zhu:
Deep Active Learning by Model Interpretability. CoRR abs/2007.12100 (2020) - [i4]Zhaocheng Liu, Qiang Liu, Haoli Zhang, Yuntian Chen:
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data. CoRR abs/2008.09775 (2020)
2010 – 2019
- 2019
- [c2]Jingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu:
Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor. CIKM 2019: 1703-1712 - [i3]Shoufeng Lan, Xueyue Zhang, Mohammad Taghinejad, Sean P. Rodrigues, Kyu-Tae Lee, Zhaocheng Liu, Wenshan Cai:
Metasurfaces for near-eye augmented reality. CoRR abs/1901.06408 (2019) - [i2]Zhaocheng Liu, Guangxue Yin:
CPM-sensitive AUC for CTR prediction. CoRR abs/1904.10272 (2019) - 2018
- [i1]Zhaocheng Liu, Dayu Zhu, Sean P. Rodrigues, Kyu-Tae Lee, Wenshan Cai:
A Generative Model for Inverse Design of Metamaterials. CoRR abs/1805.10181 (2018) - 2010
- [j1]Ziran Zheng, Xiyu Liu, Lizi Yin, Zhaocheng Liu:
A Hybrid Password Authentication Scheme Based on Shape and Text. J. Comput. 5(5): 765-772 (2010)
2000 – 2009
- 2009
- [c1]Zhaocheng Liu, Ziran Zheng, Xiyu Liu, Gongxi Wang:
Modelling and Prediction of the CNY Exchange Rate Using RBF Neural Network. BIFE 2009: 38-41
Coauthor Index
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