An Autonomous Mobile Robot Based on Quantum Algorithm. - Daoyi Dong; Chunlin Chen; Chenbin Zhang; Zonghai Chen (CIS (1), 2005)

Quantum robot: structure, algorithms and applications. - Daoyi Dong; Chunlin Chen; Chenbin Zhang; Zonghai Chen (Robotica, 2006)

Fast object detection based on selective visual attention. - Mingwei Guo; Yuzhou Zhao; Chenbin Zhang; Zonghai Chen (Neurocomputing, 2014)

Global feature integration based salient region detection. - Mingqiang Lin; Chenbin Zhang; Zonghai Chen (Neurocomputing, 2015)

Predicting salient object via multi-level features. - Mingqiang Lin; Chenbin Zhang; Zonghai Chen (Neurocomputing, 2016)

无线电监测数据仓库的构建与应用研究 (Research on Construction and Application of Radio Monitoring Data Warehouse). - Bin Tian; Yalei Zhu; Yunchun Zhang; Jiantao Hu; Chenbin Zhang (计算机科学, 2017)

Personalized restaurant recommendation method combining group correlations and customer preferences. - Chenbin Zhang; Hongyu Zhang 001; Jianqiang Wang 001 (Inf. Sci., 2018)

基于沙堆模型的无线Mesh网负载均衡算法 (Sandpile Model Based Load Balancing Algorithm in Wireless Mesh Networks). - Yunchun Zhang; Longbao Li; Shaowen Yao 001; Jiantao Hu; Chenbin Zhang (计算机科学, 2018)

基于灰度图纹理指纹的恶意软件分类 (Malware Classification Based on Texture Fingerprint of Gray-scale Images). - Chenbin Zhang; Yunchun Zhang; Yang Zheng; Pengcheng Zhang; Sen Lin (计算机科学, 2018)

Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection. - Junyu Lu; Chenbin Zhang; Zeying Xie; Guang Ling; Tom Chao Zhou; Zenglin Xu (ACL (1), 2019)

Machine Reading Comprehension: Matching and Orders. - Ao Liu 008; Lizhen Qu; Junyu Lu; Chenbin Zhang; Zenglin Xu (CIKM, 2019)

Additive Adversarial Learning for Unbiased Authentication. - Jian Liang 002; Yuren Cao; Chenbin Zhang; Shiyu Chang; Kun Bai; Zenglin Xu (CVPR, 2019)

Tensor Ring Restricted Boltzmann Machines. - Maolin Wang 001; Chenbin Zhang; Yu Pan 005; Jing Xu; Zenglin Xu (IJCNN, 2019)

Optimal Combination of SVM and Bayesian Density Model Using Dempster-Shafer Theory. - Chenbin Zhang; Ningning Qin; Le Yang 001 (ICMLC, 2020)

Multi-Level Multimodal Transformer Network for Multimodal Recipe Comprehension. - Ao Liu 008; Shuai Yuan 018; Chenbin Zhang; Congjian Luo; Yaqing Liao; Kun Bai; Zenglin Xu (SIGIR, 2020)

Read, Attend, and Exclude: Multi-Choice Reading Comprehension by Mimicking Human Reasoning Process. - Chenbin Zhang; Congjian Luo; Junyu Lu; Ao Liu 008; Bing Bai; Kun Bai; Zenglin Xu (SIGIR, 2020)

Received Signal Strength-Based Indoor Localization Using Hierarchical Classification. - Chenbin Zhang; Ningning Qin; Yanbo Xue; Le Yang 001 (Sensors, 2020)

Large-scale gastric cancer screening and localization using multi-task deep neural network. - Hong Yu; Xiaofan Zhang 002; Lingjun Song; Liren Jiang; Xiaodi Huang; Wen Chen 022; Chenbin Zhang; Jiahui Li 005; Jiji Yang; Zhiqiang Hu; Qi Duan; Wanyuan Chen; et al. (Neurocomputing, 2021)

Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. - Kun Yan; Chenbin Zhang; Jun Hou; Ping Wang 003; Zied Bouraoui; Shoaib Jameel; Steven Schockaert (AAAI, 2022)

ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. - Chenbin Zhang; Xiangli Yang; Jian Liang 002; Bing Bai; Kun Bai; Irwin King; Zenglin Xu (IJCNN, 2022)

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. - Qian Da; Xiaodi Huang; Zhongyu Li 002; Yanfei Zuo; Chenbin Zhang; Jingxin Liu; Wen Chen 001; Jiahui Li 005; Dou Xu; Zhiqiang Hu; Hongmei Yi; Yan Guo; et al. (Medical Image Anal., 2022)

Two-shot Video Object Segmentation. - Kun Yan; Xiao Li 030; Fangyun Wei; Jinglu Wang; Chenbin Zhang; Ping Wang 003; Yan Lu 001 (CVPR, 2023)

CTSSeg: Consistent Teacher-Student model for magnetic resonance image Segmentation. - Chenbin Zhang; Qingyuan He; Kun Yan; Meng Ma 001; Defeng Liu; Ping Wang 003 (ICME, 2023)

TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou. - Jianxin Chang; Chenbin Zhang; Zhiyi Fu; Xiaoxue Zang; Lin Guan 005; Jing Lu; Yiqun Hui; Dewei Leng; Yanan Niu; Yang Song 008; Kun Gai (KDD, 2023)

PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information. - Jianxin Chang; Chenbin Zhang; Yiqun Hui; Dewei Leng; Yanan Niu; Yang Song 008; Kun Gai (KDD, 2023)

SAM-DTA: a sequence-agnostic model for drug-target binding affinity prediction. - Zhiqiang Hu; Wenfeng Liu; Chenbin Zhang; Jiawen Huang; Shaoting Zhang 001; Huiqun Yu; Yi Xiong 002; Hao Liu 081; Song Ke; Liang Hong (Briefings Bioinform., 2023)

TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou. - Zihua Si; Lin Guan 005; Zhongxiang Sun; Xiaoxue Zang; Jing Lu; Yiqun Hui; Xingchao Cao; Zeyu Yang; Yichen Zheng; Dewei Leng; Kai Zheng 001; Chenbin Zhang; et al. (CIKM, 2024)

Boundary-Aware Contrastive Learning for Single-Source Domain Generalization in Medical Image Segmentation. - Chenbin Zhang; Zhiqiang Hu; Shuyu Dai; Qingyuan He; Defeng Liu; Kun Yan; Ping Wang 003 (ICME, 2024)

Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation. - Chenbin Zhang; Zhiqiang Hu; Chuchu Jiang; Wen Chen 022; Jie Xu; Shaoting Zhang 001 (ICLR, 2025)

Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential Recommendation. - Zhen Gong; Zhifang Fan; Hui Lu; Qiwei Chen; Chenbin Zhang; Lin Guan; Yuchao Zheng; Feng Zhang 047; Xiao Yang; Zuotao Liu (SIGIR, 2025)

Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential Recommendation. - Zhen Gong; Zhifang Fan; Hui Lu; Qiwei Chen; Chenbin Zhang; Lin Guan; Yuchao Zheng; Feng Zhang; Xiao Yang; Zuotao Liu (CoRR, 2025)