Modelling and Prediction of the CNY Exchange Rate Using RBF Neural Network. - Zhaocheng Liu; Ziran Zheng; Xiyu Liu 001; Gongxi Wang (BIFE, 2009)

A Hybrid Password Authentication Scheme Based on Shape and Text. - Ziran Zheng; Xiyu Liu 001; Lizi Yin; Zhaocheng Liu (J. Comput., 2010)

A Generative Model for Inverse Design of Metamaterials. - Zhaocheng Liu; Dayu Zhu; Sean P. Rodrigues; Kyu-Tae Lee; Wenshan Cai (CoRR, 2018)

Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor. - Jingyi Wang; Qiang Liu 006; Zhaocheng Liu; Shu Wu (CIKM, 2019)

Metasurfaces for near-eye augmented reality. - Shoufeng Lan; Xueyue Zhang; Mohammad Taghinejad; Sean P. Rodrigues; Kyu-Tae Lee; Zhaocheng Liu; Wenshan Cai (CoRR, 2019)

CPM-sensitive AUC for CTR prediction. - Zhaocheng Liu; Guangxue Yin (CoRR, 2019)

Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions. - Feng Yu 001; Zhaocheng Liu; Qiang Liu 006; Haoli Zhang; Shu Wu; Liang Wang 001 (CIKM, 2020)

Inverse Design of FinFET SRAM Cells. - Rui Zhang 048; Zhaocheng Liu; Kexin Yang 001; Taizhi Liu; Wenshan Cai; Linda Milor (IRPS, 2020)

An Empirical Study on Feature Discretization. - Qiang Liu 006; Zhaocheng Liu; Haoli Zhang (CoRR, 2020)

Multifunctional Meta-Optic Systems: Inversely Designed with Artificial Intelligence. - Dayu Zhu; Zhaocheng Liu; Lakshmi Raju; Andrew S. Kim; Wenshan Cai (CoRR, 2020)

Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective. - Qiang Liu 006; Haoli Zhang; Zhaocheng Liu (CoRR, 2020)

Deep Active Learning by Model Interpretability. - Qiang Liu 006; Zhaocheng Liu; Xiaofang Zhu; Yeliang Xiu; Jun Zhu 001 (CoRR, 2020)

DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data. - Zhaocheng Liu; Qiang Liu 006; Haoli Zhang; Yuntian Chen (CoRR, 2020)

A Hybrid Strategy for the Discovery and Design of Photonic Structures. - Zhaocheng Liu; Lakshmi Raju; Dayu Zhu; Wenshan Cai (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Simplifying Graph Convolutional Networks as Matrix Factorization. - Qiang Liu 006; Haoli Zhang; Zhaocheng Liu (APWeb/WAIM (1), 2021)

Deep Active Learning for Text Classification with Diverse Interpretations. - Qiang Liu 006; Yanqiao Zhu 001; Zhaocheng Liu; Yufeng Zhang; Shu Wu (CIKM, 2021)

Mining Cross Features for Financial Credit Risk Assessment. - Qiang Liu 006; Zhaocheng Liu; Haoli Zhang; Yuntian Chen; Jun Zhu 001 (CIKM, 2021)

STAN: Spatio-Temporal Attention Network for Next Location Recommendation. - Yingtao Luo; Qiang Liu 006; Zhaocheng Liu (WWW, 2021)

DNN2LR: Automatic Feature Crossing for Credit Scoring. - Qiang Liu 006; Zhaocheng Liu; Haoli Zhang; Yuntian Chen; Jun Zhu 001 (CoRR, 2021)

Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains. - Zhaocheng Liu; Fernando Acero; Zhibin Li 001 (CoRR, 2021)

A Comprehensive Framework for Analysis of Time-Dependent Performance-Reliability Degradation of SRAM Cache Memory. - Rui Zhang 048; Kexin Yang 001; Zhaocheng Liu; Taizhi Liu; Wenshan Cai; Linda Milor (IEEE Trans. Very Large Scale Integr. Syst., 2021)

Slimmable Video Codec. - Zhaocheng Liu; Luis Herranz; Fei Yang 004; Saiping Zhang; Shuai Wan; Marta Mrak; Marc Górriz Blanch (CVPR Workshops, 2022)

Deep Stable Representation Learning on Electronic Health Records. - Yingtao Luo; Zhaocheng Liu; Qiang Liu 006 (ICDM, 2022)

LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. - Yi Guo; Zhaocheng Liu; Jianchao Tan; Chao Liao; Daqing Chang; Qiang Liu 006; Sen Yang 004; Ji Liu 002; Dongying Kong; Zhi Chen; Chengru Song (CoRR, 2022)

Improving Multi-Interest Network with Stable Learning. - Zhaocheng Liu; Yingtao Luo; Di Zeng; Qiang Liu 006; Daqing Chang; Dongying Kong; Zhi Chen (CoRR, 2022)

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

Agile and Versatile Robot Locomotion via Kernel-based Residual Learning. - Milo Carroll; Zhaocheng Liu; Mohammadreza Kasaei 001; Zhibin Li 001 (ICRA, 2023)

Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System. - Wenbin Hu; Fernando Acero; Eleftherios Triantafyllidis; Zhaocheng Liu; Zhibin Li 001 (IROS, 2023)

Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation. - Qiang Liu 006; Zhaocheng Liu; Zhenxi Zhu; Shu Wu; Liang Wang 001 (CoRR, 2023)

Multi-Epoch Learning for Deep Click-Through Rate Prediction Models. - Zhaocheng Liu; Zhongxiang Fan; Jian Liang; Dongying Kong; Han Li (CoRR, 2023)

RObotic MAnipulation Network (ROMAN) - Hybrid Hierarchical Learning for Solving Complex Sequential Tasks. - Eleftherios Triantafyllidis; Fernando Acero; Zhaocheng Liu; Zhibin Li 001 (CoRR, 2023)

Hybrid hierarchical learning for solving complex sequential tasks using the robotic manipulation network ROMAN. - Eleftherios Triantafyllidis; Fernando Acero; Zhaocheng Liu; Zhibin Li 001 (Nat. Mac. Intell., 2023)

Implicit-Explicit simulation of Mass-Spring-Charge Systems. - Zhiyuan Zhang; Zhaocheng Liu; Stefanos-Aldo Papanicolopulos; Kartic Subr (CoRR, 2024)

Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. - Jian Jia; Yipei Wang; Yan Li 043; Honggang Chen; Xuehan Bai; Zhaocheng Liu; Jian Liang 001; Quan Chen 006; Han Li 005; Peng Jiang 002; Kun Gai (CoRR, 2024)

Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction. - Zhongxiang Fan; Zhaocheng Liu; Jian Liang 002; Dongying Kong; Han Li 005; Peng Jiang 002; Shuang Li 008; Kun Gai (CoRR, 2024)

Differential Shape Optimization with Image Representation for Photonic Design. - Zhaocheng Liu; Jim Bonar (CoRR, 2024)

A slimmable framework for practical neural video compression. - Zhaocheng Liu; Fei Yang 004; Defa Wang; Marc Górriz Blanch; Luka Murn; Shuai Wan; Saiping Zhang; Marta Mrak; Luis Herranz (Neurocomputing, 2024)

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. - Jian Jia; Yipei Wang; Yan Li 043; Honggang Chen; Xuehan Bai; Zhaocheng Liu; Jian Liang 001; Quan Chen 006; Han Li 005; Peng Jiang 002; Kun Gai (AAAI, 2025)

Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators. - Zhaocheng Liu; Quan Tu; Wen Ye; Yu Xiao; Zhishou Zhang; Hengfu Cui; Yalun Zhu; Qiang Ju; Shizheng Li; Jian Xie (CoRR, 2025)

Multi-Physics Inverse Design of Varifocal Optical Devices using Data-Driven Surrogates and Differential Modeling. - Zeqing Jin; Zhaocheng Liu; Nagi Elabbasi; Zachary Ulissi; Grace X. Gu; Zhaoyu Nie (CoRR, 2025)

Efficient Medical VIE via Reinforcement Learning. - Lijun Liu; Ruiyang Li; Zhaocheng Liu; Chenglin Zhu; Chong Li; Jiehan Cheng; Qiang Ju; Jian Xie (CoRR, 2025)