Zhaocheng Liu - RankMe

56 papers A* 4A 5Journal 41Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	ArcheScale-Guard: Archetype-Aware Predictive Autoscaling with Uncertainty Quantification for Serverless Computing. CNML Ao Zhu, Weicheng Liu, Zhongkang Li, Zhaocheng Liu, Jiarong Qiu, Chenfeiyu Wen
2026	J	`jnl`	End-to-end differentiable design of geometric waveguide displays. CoRR Xinge Yang, Zhaocheng Liu, Zhaoyu Nie, Qingyuan Fan, Zhimin Shi, Jim Bonar, Wolfgang Heidrich
2026	J	`jnl`	MultiBind: A Benchmark for Attribute Misbinding in Multi-Subject Generation. CoRR Wenqing Tian, Hanyi Mao, Zhaocheng Liu, Lihua Zhang, Qiang Liu, Jian Wu, Liang Wang
2026	J	`jnl`	NarraScore: Bridging Visual Narrative and Musical Dynamics via Hierarchical Affective Control. CoRR Yufan Wen, Zhaocheng Liu, YeGuo Hua, Ziyi Guo, Lihua Zhang, Chun Yuan, Jian Wu
2026	J	`jnl`	RegionLock: A Lightweight Cloud Video Encryption Scheme Based on YOLOv8 Object Detection and Adaptive Frame Multiplexing. IEEE Internet Things J. Yinghong Cao, Zhaocheng Liu, Herbert Ho-Ching Iu, Junxin Chen, Jun Mou, Suo Gao
2026	J	`jnl`	SkinFlow: Efficient Information Transmission for Open Dermatological Diagnosis via Dynamic Visual Encoding and Staged RL. CoRR Lijun Liu, Linwei Chen, Zhishou Zhang, Meng Tian, Hengfu Cui, Ruiyang Li, Zhaocheng Liu, Qiang Ju, Qianxi Li, Hong-Yu Zhou
2025	J	`jnl`	Efficient Medical VIE via Reinforcement Learning. CoRR Lijun Liu, Ruiyang Li, Zhaocheng Liu, Chenglin Zhu, Chong Li, Jiehan Cheng, Qiang Ju, Jian Xie
2025	J	`jnl`	Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators. CoRR Zhaocheng Liu, Quan Tu, Wen Ye, Yu Xiao, Zhishou Zhang, Hengfu Cui, Yalun Zhu, Qiang Ju, Shizheng Li, Jian Xie
2025	—	`conf`	GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation. EMNLP (Findings) Wen Ye, Zhaocheng Liu, Yuwei Gui, Tingyu Yuan, Yunyue Su, Bowen Fang, Chaoyang Zhao, Qiang Liu, Liang Wang
2025	J	`jnl`	GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation. CoRR Wen Ye, Zhaocheng Liu, Yuwei Gui, Tingyu Yuan, Yunyue Su, Bowen Fang, Chaoyang Zhao, Qiang Liu, Liang Wang
2025	A*	`conf`	LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. AAAI Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai
2025	J	`jnl`	Multi-Physics Inverse Design of Varifocal Optical Devices using Data-Driven Surrogates and Differential Modeling. CoRR Zeqing Jin, Zhaocheng Liu, Nagi Elabbasi, Zachary Ulissi, Grace X. Gu, Zhaoyu Nie
2025	J	`jnl`	Quantifying Multimodal Imbalance: A GMM-Guided Adaptive Loss for Audio-Visual Learning. CoRR Zhaocheng Liu, Zhiwen Yu, Xiaoqing Liu
2024	J	`jnl`	A slimmable framework for practical neural video compression. Neurocomputing Zhaocheng Liu, Fei Yang, Defa Wang, Marc Górriz Blanch, Luka Murn, Shuai Wan, Saiping Zhang, Marta Mrak, Luis Herranz
2024	J	`jnl`	Differential Shape Optimization with Image Representation for Photonic Design. CoRR Zhaocheng Liu, Jim Bonar
2024	J	`jnl`	Implicit-Explicit simulation of Mass-Spring-Charge Systems. CoRR Zhiyuan Zhang, Zhaocheng Liu, Stefanos-Aldo Papanicolopulos, Kartic Subr
2024	J	`jnl`	Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. CoRR Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai
2024	J	`jnl`	Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction. CoRR Zhongxiang Fan, Zhaocheng Liu, Jian Liang, Dongying Kong, Han Li, Peng Jiang, Shuang Li, Kun Gai
2023	A*	`conf`	Agile and Versatile Robot Locomotion via Kernel-based Residual Learning. ICRA Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei, Zhibin Li
2023	J	`jnl`	Agile and Versatile Robot Locomotion via Kernel-based Residual Learning. CoRR Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei, Zhibin Li
2023	J	`jnl`	Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation. CoRR Qiang Liu, Zhaocheng Liu, Zhenxi Zhu, Shu Wu, Liang Wang
2023	J	`jnl`	Hybrid hierarchical learning for solving complex sequential tasks using the robotic manipulation network ROMAN. Nat. Mac. Intell. Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li
2023	A	`conf`	Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System. IROS Wenbin Hu, Fernando Acero, Eleftherios Triantafyllidis, Zhaocheng Liu, Zhibin Li
2023	J	`jnl`	Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System. CoRR Wenbin Hu, Fernando Acero, Eleftherios Triantafyllidis, Zhaocheng Liu, Zhibin Li
2023	J	`jnl`	Multi-Epoch Learning for Deep Click-Through Rate Prediction Models. CoRR Zhaocheng Liu, Zhongxiang Fan, Jian Liang, Dongying Kong, Han Li
2023	J	`jnl`	RObotic MAnipulation Network (ROMAN) - Hybrid Hierarchical Learning for Solving Complex Sequential Tasks. CoRR Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li
2022	A*	`conf`	Deep Stable Representation Learning on Electronic Health Records. ICDM Yingtao Luo, Zhaocheng Liu, Qiang Liu
2022	J	`jnl`	Deep Stable Representation Learning on Electronic Health Records. CoRR Yingtao Luo, Zhaocheng Liu, Qiang Liu
2022	J	`jnl`	Hypersphere Optimization: Approximated Gradient-Based Binary Optimization on Smooth Manifold for Photonic Inverse Design. CoRR Zhaocheng Liu
2022	J	`jnl`	Improving Multi-Interest Network with Stable Learning. CoRR Zhaocheng Liu, Yingtao Luo, Di Zeng, Qiang Liu, Daqing Chang, Dongying Kong, Zhi Chen
2022	J	`jnl`	LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. CoRR Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song
2022	—	`conf`	Slimmable Video Codec. CVPR Workshops Zhaocheng Liu, Luis Herranz, Fei Yang, Saiping Zhang, Shuai Wan, Marta Mrak, Marc Górriz Blanch
2022	J	`jnl`	Slimmable Video Codec. CoRR Zhaocheng Liu, Luis Herranz, Fei Yang, Saiping Zhang, Shuai Wan, Marta Mrak, Marc Górriz Blanch
2021	J	`jnl`	A Comprehensive Framework for Analysis of Time-Dependent Performance-Reliability Degradation of SRAM Cache Memory. IEEE Trans. Very Large Scale Integr. Syst. Rui Zhang, Kexin Yang, Zhaocheng Liu, Taizhi Liu, Wenshan Cai, Linda Milor
2021	J	`jnl`	DNN2LR: Automatic Feature Crossing for Credit Scoring. CoRR Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu
2021	A	`conf`	Deep Active Learning for Text Classification with Diverse Interpretations. CIKM Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu
2021	J	`jnl`	Deep Active Learning for Text Classification with Diverse Interpretations. CoRR Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu
2021	J	`jnl`	Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains. CoRR Zhaocheng Liu, Fernando Acero, Zhibin Li
2021	A	`conf`	Mining Cross Features for Financial Credit Risk Assessment. CIKM Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu
2021	A*	`conf`	STAN: Spatio-Temporal Attention Network for Next Location Recommendation. WWW Yingtao Luo, Qiang Liu, Zhaocheng Liu
2021	J	`jnl`	STAN: Spatio-Temporal Attention Network for Next Location Recommendation. CoRR Yingtao Luo, Qiang Liu, Zhaocheng Liu
2021	—	`conf`	Simplifying Graph Convolutional Networks as Matrix Factorization. APWeb/WAIM (1) Qiang Liu, Haoli Zhang, Zhaocheng Liu
2020	J	`jnl`	A Hybrid Strategy for the Discovery and Design of Photonic Structures. IEEE J. Emerg. Sel. Topics Circuits Syst. Zhaocheng Liu, Lakshmi Raju, Dayu Zhu, Wenshan Cai
2020	J	`jnl`	An Empirical Study on Feature Discretization. CoRR Qiang Liu, Zhaocheng Liu, Haoli Zhang
2020	J	`jnl`	DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data. CoRR Zhaocheng Liu, Qiang Liu, Haoli Zhang, Yuntian Chen
2020	J	`jnl`	Deep Active Learning by Model Interpretability. CoRR Qiang Liu, Zhaocheng Liu, Xiaofang Zhu, Yeliang Xiu, Jun Zhu
2020	A	`conf`	Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions. CIKM Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang
2020	—	`conf`	Inverse Design of FinFET SRAM Cells. IRPS Rui Zhang, Zhaocheng Liu, Kexin Yang, Taizhi Liu, Wenshan Cai, Linda Milor
2020	J	`jnl`	Multifunctional Meta-Optic Systems: Inversely Designed with Artificial Intelligence. CoRR Dayu Zhu, Zhaocheng Liu, Lakshmi Raju, Andrew S. Kim, Wenshan Cai
2020	J	`jnl`	Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective. CoRR Qiang Liu, Haoli Zhang, Zhaocheng Liu
2019	J	`jnl`	CPM-sensitive AUC for CTR prediction. CoRR Zhaocheng Liu, Guangxue Yin
2019	J	`jnl`	Metasurfaces for near-eye augmented reality. CoRR Shoufeng Lan, Xueyue Zhang, Mohammad Taghinejad, Sean P. Rodrigues, Kyu-Tae Lee, Zhaocheng Liu, Wenshan Cai
2019	A	`conf`	Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor. CIKM Jingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu
2018	J	`jnl`	A Generative Model for Inverse Design of Metamaterials. CoRR Zhaocheng Liu, Dayu Zhu, Sean P. Rodrigues, Kyu-Tae Lee, Wenshan Cai
2010	J	`jnl`	A Hybrid Password Authentication Scheme Based on Shape and Text. J. Comput. Ziran Zheng, Xiyu Liu, Lizi Yin, Zhaocheng Liu
2009	—	`conf`	Modelling and Prediction of the CNY Exchange Rate Using RBF Neural Network. BIFE Zhaocheng Liu, Ziran Zheng, Xiyu Liu, Gongxi Wang