Zhaocheng Liu

According to our database, Zhaocheng Liu authored at least 49 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MultiBind: A Benchmark for Attribute Misbinding in Multi-Subject Generation.

Wenqing Tian, Hanyi Mao, Zhaocheng Liu, Lihua Zhang, Qiang Liu, Jian Wu, Liang Wang

CoRR, March, 2026

NarraScore: Bridging Visual Narrative and Musical Dynamics via Hierarchical Affective Control.

Yufan Wen, Zhaocheng Liu, YeGuo Hua, Ziyi Guo, Lihua Zhang, Chun Yuan, Jian Wu

CoRR, February, 2026

SkinFlow: Efficient Information Transmission for Open Dermatological Diagnosis via Dynamic Visual Encoding and Staged RL.

Lijun Liu, Linwei Chen, Zhishou Zhang, Meng Tian, Hengfu Cui, Ruiyang Li, Zhaocheng Liu, Qiang Ju, Qianxi Li, Hong-Yu Zhou

CoRR, January, 2026

End-to-end differentiable design of geometric waveguide displays.

Xinge Yang, Zhaocheng Liu, Zhaoyu Nie, Qingyuan Fan, Zhimin Shi, Jim Bonar, Wolfgang Heidrich

CoRR, January, 2026

RegionLock: A Lightweight Cloud Video Encryption Scheme Based on YOLOv8 Object Detection and Adaptive Frame Multiplexing.

Yinghong Cao, Zhaocheng Liu, Herbert Ho-Ching Iu, Junxin Chen, Jun Mou, Suo Gao

IEEE Internet Things J., 2026

ArcheScale-Guard: Archetype-Aware Predictive Autoscaling with Uncertainty Quantification for Serverless Computing.

Ao Zhu, Weicheng Liu, Zhongkang Li, Zhaocheng Liu, Jiarong Qiu, Chenfeiyu Wen

Proceedings of the 2026 International Conference on Communication Networks and Machine Learning (CNML), Chongqing, China, January 30, 2026

2025

Quantifying Multimodal Imbalance: A GMM-Guided Adaptive Loss for Audio-Visual Learning.

Zhaocheng Liu, Zhiwen Yu, Xiaoqing Liu

CoRR, October, 2025

Efficient Medical VIE via Reinforcement Learning.

Lijun Liu, Ruiyang Li, Zhaocheng Liu, Chenglin Zhu, Chong Li, Jiehan Cheng, Qiang Ju, Jian Xie

CoRR, June, 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, March, 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, January, 2025

GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation.

Wen Ye, Zhaocheng Liu, Yuwei Gui, Tingyu Yuan, Yunyue Su, Bowen Fang, Chaoyang Zhao, Qiang Liu, Liang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application.

Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A slimmable framework for practical neural video compression.

Zhaocheng Liu, Fei Yang, Defa Wang, Marc Górriz Blanch, Luka Murn, Shuai Wan, Saiping Zhang, Marta Mrak, Luis Herranz

Neurocomputing, 2024

Differential Shape Optimization with Image Representation for Photonic Design.

Zhaocheng Liu, Jim Bonar

CoRR, 2024

Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction.

Zhongxiang Fan, Zhaocheng Liu, Jian Liang, Dongying Kong, Han Li, Peng Jiang, Shuang Li, Kun Gai

CoRR, 2024

Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application.

Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai

CoRR, 2024

Implicit-Explicit simulation of Mass-Spring-Charge Systems.

Zhiyuan Zhang, Zhaocheng Liu, Stefanos-Aldo Papanicolopulos, Kartic Subr

CoRR, 2024

2023

Hybrid hierarchical learning for solving complex sequential tasks using the robotic manipulation network ROMAN.

Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li

Nat. Mac. Intell., September, 2023

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

Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li

CoRR, 2023

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

Zhaocheng Liu, Zhongxiang Fan, Jian Liang, Dongying Kong, Han Li

CoRR, 2023

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

Qiang Liu, Zhaocheng Liu, Zhenxi Zhu, Shu Wu, Liang Wang

CoRR, 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

IROS, 2023

Agile and Versatile Robot Locomotion via Kernel-based Residual Learning.

Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei, Zhibin Li

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.

Zhaocheng Liu

CoRR, 2022

Improving Multi-Interest Network with Stable Learning.

Zhaocheng Liu, Yingtao Luo, Di Zeng, Qiang Liu, Daqing Chang, Dongying Kong, Zhi Chen

CoRR, 2022

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

Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song

CoRR, 2022

Deep Stable Representation Learning on Electronic Health Records.

Yingtao Luo, Zhaocheng Liu, Qiang Liu

Proceedings of the IEEE International Conference on Data Mining, 2022

Slimmable Video Codec.

Zhaocheng Liu, Luis Herranz, Fei Yang, Saiping Zhang, Shuai Wan, Marta Mrak, Marc Górriz Blanch

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.

Rui Zhang, Kexin Yang, Zhaocheng Liu, Taizhi Liu, Wenshan Cai, Linda Milor

IEEE Trans. Very Large Scale Integr. Syst., 2021

Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains.

Zhaocheng Liu, Fernando Acero, Zhibin Li

CoRR, 2021

DNN2LR: Automatic Feature Crossing for Credit Scoring.

Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu

CoRR, 2021

STAN: Spatio-Temporal Attention Network for Next Location Recommendation.

Yingtao Luo, Qiang Liu, Zhaocheng Liu

Proceedings of the WWW '21: The Web Conference 2021, 2021

Mining Cross Features for Financial Credit Risk Assessment.

Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu

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.

Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu

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.

Qiang Liu, Haoli Zhang, Zhaocheng Liu

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

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

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

Zhaocheng Liu, Qiang Liu, Haoli Zhang, Yuntian Chen

CoRR, 2020

Deep Active Learning by Model Interpretability.

Qiang Liu, Zhaocheng Liu, Xiaofang Zhu, Yeliang Xiu, Jun Zhu

CoRR, 2020

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

Qiang Liu, Haoli Zhang, Zhaocheng Liu

CoRR, 2020

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

Dayu Zhu, Zhaocheng Liu, Lakshmi Raju, Andrew S. Kim, Wenshan Cai

CoRR, 2020

An Empirical Study on Feature Discretization.

Qiang Liu, Zhaocheng Liu, Haoli Zhang

CoRR, 2020

Inverse Design of FinFET SRAM Cells.

Rui Zhang, Zhaocheng Liu, Kexin Yang, Taizhi Liu, Wenshan Cai, Linda Milor

Proceedings of the 2020 IEEE International Reliability Physics Symposium, 2020

Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions.

Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

CPM-sensitive AUC for CTR prediction.

Zhaocheng Liu, Guangxue Yin

CoRR, 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

Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor.

Jingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

A Generative Model for Inverse Design of Metamaterials.

Zhaocheng Liu, Dayu Zhu, Sean P. Rodrigues, Kyu-Tae Lee, Wenshan Cai

CoRR, 2018

2010

A Hybrid Password Authentication Scheme Based on Shape and Text.

Ziran Zheng, Xiyu Liu, Lizi Yin, Zhaocheng Liu

J. Comput., 2010

2009

Modelling and Prediction of the CNY Exchange Rate Using RBF Neural Network.

Zhaocheng Liu, Ziran Zheng, Xiyu Liu, Gongxi Wang

Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009