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Publication search results
found 59 matches
- 2024
- Ming Zhong, Ruiqing Han, Yan Liu, Bo Huang, Xiujuan Chai, Yaxin Liu:
Development, integration, and field evaluation of an autonomous Agaricus bisporus picking robot. Comput. Electron. Agric. 220: 108871 (2024) - Shuo Zhou, Ming Zhong, Xiujuan Chai, Ning Zhang, Yubin Zhang, Qixin Sun, Tan Sun:
Framework of rod-like crops sorting based on multi-object oriented detection and analysis. Comput. Electron. Agric. 216: 108516 (2024) - Dongyu Zheng, Hanting Zhong, Gustau Camps-Valls, Zhisong Cao, Xiaogang Ma, Benjamin Mills, Xiumian Hu, Mingcai Hou, Chao Ma:
Explainable deep learning for automatic rock classification. Comput. Geosci. 184: 105511 (2024) - Qin-Nan Cai, Zhong-Liang Zhang, Yu-Heng Wu, Xiu-Ming Zhang:
LSMOTE: A link-based Synthetic Minority Oversampling Technique for binary imbalanced datasets. Neurocomputing 608: 128372 (2024) - Ziyi Qi, Tingyao Li, Jun Chen, Jason C. Yam, Yang Wen, Gengyou Huang, Hua Zhong, Mingguang He, Dan Zhu, Rongping Dai, Bo Qian, Jingjing Wang, Chaoxu Qian, Wei Wang, Yanfei Zheng, Jian Zhang, Xianglong Yi, Zheyuan Wang, Bo Zhang, Chunyu Liu, Tianyu Cheng, Xiaokang Yang, Jun Li, Yan-Ting Pan, Xiaohu Ding, Ruilin Xiong, Yan Wang, Yan Zhou, Dagan Feng, Sichen Liu, Linlin Du, Jinliuxing Yang, Zhuoting Zhu, Lei Bi, Jinman Kim, Fangyao Tang, Yuzhou Zhang, Xiujuan Zhang, Haidong Zou, Marcus Ang, Clement C. Tham, Carol Y. Cheung, Chi Pui Pang, Bin Sheng, Xiangui He, Xun Xu:
A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children. npj Digit. Medicine 7(1) (2024) - Long Chen, Jiatong He, Jiasheng Zhang, Zhongpeng Wang, Lei Zhang, Bin Gu, Xiuyun Liu, Dong Ming:
Influence of Transcutaneous Vagus Nerve Stimulation on Motor Planning: A Resting-State and Task-State EEG Study. IEEE J. Biomed. Health Informatics 28(3): 1374-1385 (2024) - Long Chen, Chenghu Tang, Zhongpeng Wang, Lei Zhang, Bin Gu, Xiuyun Liu, Dong Ming:
Enhancing Motor Sequence Learning via Transcutaneous Auricular Vagus Nerve Stimulation (taVNS): An EEG Study. IEEE J. Biomed. Health Informatics 28(3): 1285-1296 (2024) - Xiuling Zhang, Riheng Jia, Quanjun Yin, Zhonglong Zheng, Minglu Li:
Intelligent Trajectory Design and Charging Scheduling in Wireless Rechargeable Sensor Networks With Obstacles. IEEE Trans. Mob. Comput. 23(9): 8664-8679 (2024) - Jie Hu, Yaozhong Zhang, Xiujuan Qin, Lvlun Wei, Fangwei Chen, Shmuel S. Tyszberowicz, Mingyue Zhang, Bo Liu:
DSL-MoLab: supporting model-based development of TDL-specific systems enabled by DSL. Internetware 2024 - Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming:
AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. SIGIR 2024: 956-965 - Mingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang:
Multi-Intent Attribute-Aware Text Matching in Searching. WSDM 2024: 360-368 - Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao:
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM 2024: 434-442 - Mingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang:
Multi-Intent Attribute-Aware Text Matching in Searching. CoRR abs/2402.07788 (2024) - Yifei Yu, Shaocong Wang, Woyu Zhang, Xinyuan Zhang, Xiuzhe Wu, Yangu He, Jichang Yang, Yue Zhang, Ning Lin, Bo Wang, Xi Chen, Songqi Wang, Xumeng Zhang, Xiaojuan Qi, Zhongrui Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu:
Efficient and accurate neural field reconstruction using resistive memory. CoRR abs/2404.09613 (2024) - Dugang Liu, Xing Tang, Yang Qiao, Miao Liu, Zexu Sun, Xiuqiang He, Zhong Ming:
Benchmarking for Deep Uplift Modeling in Online Marketing. CoRR abs/2406.00335 (2024) - 2023
- Qixin Sun, Ming Zhong, Xiujuan Chai, Zhikang Zeng, Hesheng Yin, Guomin Zhou, Tan Sun:
Citrus pose estimation from an RGB image for automated harvesting. Comput. Electron. Agric. 211: 108022 (2023) - Yanju Feng, Xiuling Zhang, Riheng Jia, Feilong Lin, Jianfeng Lu, Zhonglong Zheng, Minglu Li:
Intelligent Trajectory Design for Mobile Energy Harvesting and Data Transmission. IEEE Internet Things J. 10(1): 403-416 (2023) - Hesheng Yin, Qixin Sun, Xu Ren, Junlong Guo, Yunlong Yang, Yujia Wei, Bo Huang, Xiujuan Chai, Ming Zhong:
Development, integration, and field evaluation of an autonomous citrus-harvesting robot. J. Field Robotics 40(6): 1363-1387 (2023) - Lei Zhang, Long Chen, Zhongpeng Wang, Xin Zhang, Xiuyun Liu, Dong Ming:
Enhancing Visual-Guided Motor Imagery Performance via Sensory Threshold Somatosensory Electrical Stimulation Training. IEEE Trans. Biomed. Eng. 70(2): 756-765 (2023) - Fangtian Zhong, Zekai Chen, Minghui Xu, Guoming Zhang, Dongxiao Yu, Xiuzhen Cheng:
Malware-on-the-Brain: Illuminating Malware Byte Codes With Images for Malware Classification. IEEE Trans. Computers 72(2): 438-451 (2023) - Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. IEEE Trans. Knowl. Data Eng. 35(8): 8143-8156 (2023) - Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming:
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Trans. Inf. Syst. 41(4): 108:1-108:26 (2023) - Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
Debiased Representation Learning in Recommendation via Information Bottleneck. Trans. Recomm. Syst. 1(1): 1-27 (2023) - Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming:
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. DASFAA (4) 2023: 580-592 - Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Zhong Ming:
Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation. ACM Multimedia 2023: 995-1003 - Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He:
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. WWW 2023: 1673-1682 - Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming:
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. CoRR abs/2302.03419 (2023) - Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming:
Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset. CoRR abs/2303.11574 (2023) - 2022
- Xiaoyang Ma, Hongtao Zhong, Nuo Xiu, Yiming Chen, Guodong Yin, Vijaykrishnan Narayanan, Yongpan Liu, Kai Ni, Huazhong Yang, Xueqing Li:
CapCAM: A Multilevel Capacitive Content Addressable Memory for High-Accuracy and High-Scalability Search and Compute Applications. IEEE Trans. Very Large Scale Integr. Syst. 30(11): 1770-1782 (2022) - Mingzhe Li, Xiexiong Lin, Xiuying Chen, Jinxiong Chang, Qishen Zhang, Feng Wang, Taifeng Wang, Zhongyi Liu, Wei Chu, Dongyan Zhao, Rui Yan:
Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation. ACL (1) 2022: 4432-4441
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