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2020 – today
- 2025
[j48]Zhong Zheng, Zhaohua Zhou, Ruipeng Chen, Jiajie Liu, Chun Liu, Lirong Zhang, Lei Zhou, Miao Xu, Lei Wang, Weijing Wu, Jun-Biao Peng:
Precise subpixel luminance extraction method for De-Mura of AMOLED displays. Displays 86: 102889 (2025)- [j47]Yawen Zhao, Mingzhe Zhang, Chenhao Zhang, Weitong Chen, Nan Ye, Miao Xu:
A boosting framework for positive-unlabeled learning. Stat. Comput. 35(1): 2 (2025) - 2024
- [j46]Jintao Wan, Hongfei Liu, Miao Xu, Xiao Yang, Yuxin Guo, Xiyao Wang:
Lane-Changing Tracking Control of Automated Vehicle Platoon Based on MA-DDPG and Adaptive MPC. IEEE Access 12: 58078-58096 (2024) - [j45]Xiao Yang
, Hongfei Liu, Miao Xu, Jintao Wan:
Cooperative Merging Control Based on Reinforcement Learning With Dynamic Waypoint. IEEE Access 12: 81581-81592 (2024) - [j44]Zhenyao Bian, Qilong Chen, Xueying Chang, Haoran Wang, Yong Fang, Hongbo Lu, Zi Wang, Miao Xu:
Fabrication of microlens arrays on curved substrates for large viewing angle integral imaging 3D display. Displays 84: 102755 (2024) - [j43]Miao Xu, Hongfei Liu, Hongbo Yang:
Ensemble learning based approach for traffic incident detection and multi-category classification. Eng. Appl. Artif. Intell. 132: 107933 (2024) - [j42]Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama:
On the Robustness of Average Losses for Partial-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2569-2583 (2024) - [j41]Yi Gao, Miao Xu, Min-Ling Zhang:
Complementary to Multiple Labels: A Correlation-Aware Correction Approach. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9179-9191 (2024) - [j40]Wen-Xing Xu, Jun-Rong Chen, Fei-Fan Li, Lei Zhou, Xiao-Qin Wei, Miao Xu, Lei Wang, Wei-Jing Wu, Yu-Rong Liu, Jun-Biao Peng:
A 65-dB SNDR Continuous-Time Delta-Sigma ADC Integrated by IZO Thin-Film Transistors. IEEE Trans. Circuits Syst. II Express Briefs 71(4): 1804-1808 (2024) - [j39]Miao Xu, Xiangyu Zhu, Yueying Kao, Zhiwen Chen, Jiangjing Lyu, Zhen Lei:
Multi-Level Pixel-Wise Correspondence Learning for 6DoF Face Pose Estimation. IEEE Trans. Multim. 26: 9423-9435 (2024) - [c57]Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang:
Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks. AAAI 2024: 274-282 - [c56]Kun Han, Abigail M. Y. Koay, Ryan K. L. Ko, Weitong Chen, Miao Xu:
Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach. ADC 2024: 293-307 - [c55]Liangwei Nathan Zheng, Zhengyang Li, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen:
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. CIKM 2024: 3405-3414 - [c54]Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu:
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models. ICLR 2024 - [c53]Yi Tang, Yi Gao, Yonggang Luo, Jucheng Yang, Miao Xu, Min-Ling Zhang:
Unlearning from Weakly Supervised Learning. IJCAI 2024: 5000-5008 - [c52]Miao Xu:
Machine Unlearning: Challenges in Data Quality and Access. IJCAI 2024: 8589-8594 - [c51]Shaofei Shen, Chenhao Zhang, Alina Bialkowski, Weitong Chen, Miao Xu:
CaMU: Disentangling Causal Effects in Deep Model Unlearning. SDM 2024: 779-787 - [i30]Shaofei Shen, Chenhao Zhang, Alina Bialkowski, Weitong Chen, Miao Xu:
CaMU: Disentangling Causal Effects in Deep Model Unlearning. CoRR abs/2401.17504 (2024) - [i29]Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Zhenzhe Zheng, Haoqi Zhang, Zhilin Zhang, Fan Wu, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng:
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. CoRR abs/2403.02607 (2024) - [i28]Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu:
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models. CoRR abs/2404.00506 (2024) - [i27]Chenhao Zhang, Shaofei Shen, Yawen Zhao, Weitong Tony Chen, Miao Xu:
GENIU: A Restricted Data Access Unlearning for Imbalanced Data. CoRR abs/2406.07885 (2024) - [i26]Wenwu Guo, Jinlin Wu, Zhen Chen, Qingxiang Zhao, Miao Xu, Zhen Lei, Hongbin Liu:
SurgTrack: CAD-Free 3D Tracking of Real-world Surgical Instruments. CoRR abs/2409.02598 (2024) - [i25]Liangwei Nathan Zheng, Zhengyang Li, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen:
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. CoRR abs/2410.12257 (2024) - [i24]Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen:
Revisited Large Language Model for Time Series Analysis through Modality Alignment. CoRR abs/2410.12326 (2024) - 2023
- [j38]Rongrong Lu, Miao Xu, Chengjiang Zhou, Zhaodong Zhang, Shanyou He, Qihua Yang, Min Mao, Jingzong Yang:
A Novel Fault Diagnosis Method Based on NEEEMD-RUSLP Feature Selection and BTLSTSVM. IEEE Access 11: 113965-113994 (2023) - [j37]Yixuan Qiu, Feng Lin, Weitong Chen, Miao Xu:
Pre-training in Medical Data: A Survey. Mach. Intell. Res. 20(2): 147-179 (2023) - [j36]Jianxiong Li, Linglong Wang, Miao Xu, Yiming Fang:
Adaptive Event-Triggered Robust Model Predictive Control for Multiagent Systems With Time-Varying Delay Under Arbitrary Network Topology. IEEE Syst. J. 17(4): 5381-5392 (2023) - [j35]Yueying Kao, Bowen Pan, Miao Xu, Jiangjing Lyu, Xiangyu Zhu, Yuanzhang Chang, Xiaobo Li, Zhen Lei:
Toward 3D Face Reconstruction in Perspective Projection: Estimating 6DoF Face Pose From Monocular Image. IEEE Trans. Image Process. 32: 3080-3091 (2023) - [c50]Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Haoqi Zhang, Zhenzhe Zheng, Zhilin Zhang, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng, Fan Wu:
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. CIKM 2023: 4588-4594 - [c49]Yixuan Qiu, Weitong Chen, Miao Xu:
A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access. ICDM 2023: 508-517 - [c48]Yi Gao, Miao Xu, Min-Ling Zhang:
Unbiased Risk Estimator to Multi-Labeled Complementary Label Learning. IJCAI 2023: 3732-3740 - [c47]Shaofei Shen, Mingzhe Zhang, Weitong Chen, Alina Bialkowski, Miao Xu:
Words Can Be Confusing: Stereotype Bias Removal in Text Classification at the Word Level. PAKDD (4) 2023: 99-111 - [i23]Yi Gao, Miao Xu, Min-Ling Zhang:
Complementary to Multiple Labels: A Correlation-Aware Correction Approach. CoRR abs/2302.12987 (2023) - 2022
- [j34]Xiaodong Zhao, Yiming Fang, Le Liu, Miao Xu, Qiang Li:
A covariance-based Moth-flame optimization algorithm with Cauchy mutation for solving numerical optimization problems. Appl. Soft Comput. 119: 108538 (2022) - [j33]Binsheng He, Kun Wang, Ju Xiang, Pingping Bing, Min Tang, Geng Tian, Cheng Guo, Miao Xu, Jialiang Yang:
DGHNE: network enhancement-based method in identifying disease-causing genes through a heterogeneous biomedical network. Briefings Bioinform. 23(6) (2022) - [j32]Guang Song, Emily M. Lee, Jianbo Pan, Miao Xu, Hee-Sool Rho, Yichen Cheng, Nadia Whitt, Shu Yang, Jennifer Kouznetsova, Carleen Klumpp-Thomas, Samuel G. Michael, Cedric Moore, Ki-Jun Yoon, Kimberly M. Christian, Anton Simeonov, Wenwei Huang, Menghang Xia, Ruili Huang, Madhu Lal-Nag, Hengli Tang, Wei Zheng, Jiang Qian, Hongjun Song, Guo-li Ming, Heng Zhu:
Corrigendum to "An Integrated Systems Biology Approach Identifies the Proteasome as A Critical Host Machinery for ZIKV and DENV Replication" [Genomics Proteomics Bioinformatics19 (1) (2021) 108-122]. Genom. Proteom. Bioinform. 20(4): 808-809 (2022) - [j31]Jiaping Qiang, Le Liu, Miao Xu, Yiming Fang:
Fixed-time backstepping control based on adaptive super-twisting disturbance observers for a class of nonlinear systems. Int. J. Control 95(9): 2294-2306 (2022) - [j30]Miao Xu, Yiming Fang, Jianxiong Li, Xiaodong Zhao:
Attitude coordinated output feedback control based on event triggering for multiple spacecrafts. Int. J. Control 95(9): 2438-2447 (2022) - [j29]Peng Gao, Miao Xu, Qi Zhang, Catherine Z. Chen, Hui Guo, Yihong Ye, Wei Zheng, Min Shen:
Graph Convolutional Network-Based Screening Strategy for Rapid Identification of SARS-CoV-2 Cell-Entry Inhibitors. J. Chem. Inf. Model. 62(8): 1988-1997 (2022) - [j28]Chao Wang, Siyuan Xing, Miao Xu, Haodong Shi, Xingkai Wu, Qiang Fu, Huilin Jiang:
The Influence of Optical Alignment Error on Compression Coding Superresolution Imaging. Sensors 22(7): 2717 (2022) - [j27]Miao Xu, Chao Wang, Kaikai Wang, Haodong Shi, Yingchao Li, Huilin Jiang:
Polarization Super-Resolution Imaging Method Based on Deep Compressed Sensing. Sensors 22(24): 9676 (2022) - [j26]Jianxiong Li, Xinjian Liu, Miao Xu, Yiming Fang:
Continuous Higher-Order Sliding Mode Control for a Class of n-th Order Perturbed Systems. IEEE Trans. Circuits Syst. II Express Briefs 69(7): 3179-3183 (2022) - [j25]Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song:
Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent. IEEE J. Biomed. Health Informatics 26(6): 2778-2786 (2022) - [c46]Mingzhe Zhang, Lin Yue, Miao Xu:
ESTD: Empathy Style Transformer with Discriminative Mechanism. ADMA (2) 2022: 58-72 - [c45]Yawen Zhao, Lin Yue, Miao Xu:
A Boosting Algorithm for Training from Only Unlabeled Data. ADMA (2) 2022: 459-473 - [c44]Shaofei Shen, Miao Xu, Lin Yue, Robert Boots, Weitong Chen:
Death Comes But Why: An Interpretable Illness Severity Predictions in ICU. APWeb/WAIM (1) 2022: 60-75 - [c43]Khai Phan Tran, Weitong Chen, Miao Xu:
Improving Traffic Load Prediction with Multi-modality - A Case Study of Brisbane. AI 2022: 254-266 - [c42]Shaofei Shen, Weitong Chen, Miao Xu:
What Leads to Arrhythmia: Active Causal Representation Learning of ECG Classification. AI 2022: 501-515 - [c41]Kun Han, Weitong Chen, Miao Xu:
Investigating Active Positive-Unlabeled Learning with Deep Networks. AI 2022: 607-618 - [c40]Miao Xu, Wenting Cui, Jidan Mei:
SBL Based on Fixed Noise Power Estimation Applying to Conformal Array Beamforming. ICSPCC 2022: 1-5 - [c39]Ji Liu, Zenan Li, Yuan Yao, Feng Xu, Xiaoxing Ma, Miao Xu, Hanghang Tong:
Fair Representation Learning: An Alternative to Mutual Information. KDD 2022: 1088-1097 - [c38]Jonathan Wilton, Abigail M. Y. Koay, Ryan K. L. Ko, Miao Xu, Nan Ye:
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization. NeurIPS 2022 - [c37]Chenhao Zhang, Yanjun Zhang, Jeff Mao, Weitong Chen, Lin Yue, Guangdong Bai, Miao Xu:
Towards Better Generalization for Neural Network-Based SAT Solvers. PAKDD (2) 2022: 199-210 - [c36]Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng:
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. WSDM 2022: 1129-1139 - [c35]Yiqing Wang, Xiangyu Liu, Zhenzhe Zheng, Zhilin Zhang, Miao Xu, Chuan Yu, Fan Wu:
On Designing a Two-stage Auction for Online Advertising. WWW 2022: 90-99 - [d1]Yueying Kao, Bowen Pan, Miao Xu, Jiangjing Lyu, Xiangyu Zhu, Yuanzhang Chang, Xiaobo Li, Zhen Lei:
A Subject Data of ARKitFace Dataset. IEEE DataPort, 2022
- [i22]Yueying Kao, Bowen Pan, Miao Xu, Jiangjing Lyu, Xiangyu Zhu, Yuanzhang Chang, Xiaobo Li, Zhen Lei, Zixiong Qin:
Single-Image 3D Face Reconstruction under Perspective Projection. CoRR abs/2205.04126 (2022) - [i21]Yawen Zhao, Mingzhe Zhang, Chenhao Zhang, Tony Chen, Nan Ye, Miao Xu:
A Boosting Algorithm for Positive-Unlabeled Learning. CoRR abs/2205.09485 (2022) - [i20]Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang:
Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer. CoRR abs/2208.06592 (2022) - [i19]Jonathan Wilton, Abigail M. Y. Koay, Ryan K. L. Ko, Miao Xu, Nan Ye:
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization. CoRR abs/2210.08461 (2022) - 2021
- [j24]Miao Xu, Lan-Zhe Guo:
Learning from group supervision: the impact of supervision deficiency on multi-label learning. Sci. China Inf. Sci. 64(3) (2021) - [j23]Miao Xu, Hongfei Liu:
A flexible deep learning-aware framework for travel time prediction considering traffic event. Eng. Appl. Artif. Intell. 106: 104491 (2021) - [j22]Guang Song, Emily M. Lee, Jianbo Pan, Miao Xu, Hee-Sool Rho, Yichen Cheng, Nadia Whitt, Shu Yang, Jennifer Kouznetsova, Carleen Klumpp-Thomas, Samuel G. Michael, Cedric Moore, Ki-Jun Yoon, Kimberly M. Christian, Anton Simeonov, Wenwei Huang, Menghang Xia, Ruili Huang, Madhu Lal-Nag, Hengli Tang, Wei Zheng, Jiang Qian, Hongjun Song, Guo-li Ming, Heng Zhu:
An Integrated Systems Biology Approach Identifies the Proteasome as A Critical Host Machinery for ZIKV and DENV Replication. Genom. Proteom. Bioinform. 19(1): 108-122 (2021) - [j21]Yiming Yao, Miao Xu, Beibei Zhu, Quan-Dong Feng:
Symplectic schemes and symmetric schemes for nonlinear Schrödinger equation in the case of dark solitons motion. Int. J. Model. Simul. Sci. Comput. 12(6): 2150056:1-2150056:18 (2021) - [j20]Miao Xu, Hongfei Liu:
Road Travel Time Prediction Based on Improved Graph Convolutional Network. Mob. Inf. Syst. 2021: 7161293:1-7161293:11 (2021) - [c34]Yixuan Qiu, Weitong Chen, Lin Yue, Miao Xu, Baofeng Zhu:
STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition. ADMA 2021: 86-100 - [c33]Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Miao Xu, Xue Li:
Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation. CIKM 2021: 2020-2029 - [c32]Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama:
Pointwise Binary Classification with Pairwise Confidence Comparisons. ICML 2021: 3252-3262 - [c31]Guangxin Su, Weitong Chen, Miao Xu:
Positive-Unlabeled Learning from Imbalanced Data. IJCAI 2021: 2995-3001 - [c30]Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Sen Wang, Miao Xu:
Self-Supervised Adversarial Distribution Regularization for Medication Recommendation. IJCAI 2021: 3134-3140 - [c29]Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai:
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. WSDM 2021: 993-1001 - [i18]Jiaqi Lv, Lei Feng, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama:
On the Robustness of Average Losses for Partial-Label Learning. CoRR abs/2106.06152 (2021) - [i17]Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu:
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. CoRR abs/2106.06224 (2021) - [i16]Cheng-Yu Hsieh, Wei-I Lin, Miao Xu, Gang Niu, Hsuan-Tien Lin, Masashi Sugiyama:
Active Refinement for Multi-Label Learning: A Pseudo-Label Approach. CoRR abs/2109.14676 (2021) - [i15]Yiqing Wang, Xiangyu Liu, Zhenzhe Zheng, Zhilin Zhang, Miao Xu, Chuan Yu, Fan Wu:
On Designing a Two-stage Auction for Online Advertising. CoRR abs/2111.05555 (2021) - [i14]Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song:
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent. CoRR abs/2112.09341 (2021) - 2020
- [j19]Miao Xu, Hongfei Liu, Hongbo Yang:
A Deep Learning Based Multi-Block Hybrid Model for Bike-Sharing Supply-Demand Prediction. IEEE Access 8: 85826-85838 (2020) - [j18]Xiaodong Zhao, Yiming Fang, Le Liu, Jianxiong Li, Miao Xu:
An improved moth-flame optimization algorithm with orthogonal opposition-based learning and modified position updating mechanism of moths for global optimization problems. Appl. Intell. 50(12): 4434-4458 (2020) - [j17]Xiaodong Zhao, Yiming Fang, Le Liu, Miao Xu, Pan Zhang:
Ameliorated moth-flame algorithm and its application for modeling of silicon content in liquid iron of blast furnace based fast learning network. Appl. Soft Comput. 94: 106418 (2020) - [j16]Miao Xu, Yufeng Li, Zhi-Hua Zhou:
Robust Multi-Label Learning with PRO Loss. IEEE Trans. Knowl. Data Eng. 32(8): 1610-1624 (2020) - [j15]Xiaoyu Ji, Xinyan Zhou, Miao Xu, Wenyuan Xu, Yabo Dong:
OPCIO: Optimizing Power Consumption for Embedded Devices via GPIO Configuration. ACM Trans. Sens. Networks 16(2): 16:1-16:28 (2020) - [c28]Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Sequential Advertising Agent with Interpretable User Hidden Intents. AAMAS 2020: 1966-1968 - [c27]Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Learning to Infer User Hidden States for Online Sequential Advertising. CIKM 2020: 2677-2684 - [c26]Bo Han, Gang Niu, Xingrui Yu, Quanming Yao, Miao Xu, Ivor W. Tsang, Masashi Sugiyama:
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust. ICML 2020: 4006-4016 - [c25]Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai:
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. ICML 2020: 4060-4070 - [c24]Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama:
Progressive Identification of True Labels for Partial-Label Learning. ICML 2020: 6500-6510 - [c23]Miao Xu, Yuanxiang Li, Juanjuan Zhong, Yuxuan Zhang, Xingang Liu:
Edge Prediction Net for Reconstructing Road Labels Contaminated by Clouds. IGARSS 2020: 6969-6972 - [c22]Long Chen, Yuan Yao, Feng Xu, Miao Xu, Hanghang Tong:
Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering. NeurIPS 2020 - [c21]Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama:
Provably Consistent Partial-Label Learning. NeurIPS 2020 - [i13]Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama:
Progressive Identification of True Labels for Partial-Label Learning. CoRR abs/2002.08053 (2020) - [i12]Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai:
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. CoRR abs/2006.16312 (2020) - [i11]Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama:
Provably Consistent Partial-Label Learning. CoRR abs/2007.08929 (2020) - [i10]Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Learning to Infer User Hidden States for Online Sequential Advertising. CoRR abs/2009.01453 (2020) - [i9]Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama:
Pointwise Binary Classification with Pairwise Confidence Comparisons. CoRR abs/2010.01875 (2020) - [i8]Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai:
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. CoRR abs/2012.02930 (2020)
2010 – 2019
- 2019
- [j14]Zhenghua Jiao, Lei Zhang, Miao Xu, Changxin Cai, Jie Xiong:
Coverage Control Algorithm-Based Adaptive Particle Swarm Optimization and Node Sleeping in Wireless Multimedia Sensor Networks. IEEE Access 7: 170096-170105 (2019) - [j13]Xinxin Wang, Zeshui Xu, Xunjie Gou, Miao Xu:
Distance and Similarity Measures for Nested Probabilistic-Numerical Linguistic Term Sets Applied to Evaluation of Medical Treatment. Int. J. Fuzzy Syst. 21(5): 1306-1329 (2019) - [c20]Takeshi Teshima, Miao Xu, Issei Sato, Masashi Sugiyama:
Clipped Matrix Completion: A Remedy for Ceiling Effects. AAAI 2019: 5151-5158 - [i7]Miao Xu, Bingcong Li, Gang Niu, Bo Han, Masashi Sugiyama:
Revisiting Sample Selection Approach to Positive-Unlabeled Learning: Turning Unlabeled Data into Positive rather than Negative. CoRR abs/1901.10155 (2019) - 2018
- [j12]Jian-Dong Wu, Zhuo-Jia Chen, Jun-Sheng Wang, Lei Zhou, Wei-Jing Wu, Miao Xu, Lei Wang, Ruo-He Yao, Jun-Biao Peng:
Manchester-encoded data transmission circuit integrated by metal-oxide TFTs suitable for 13.56 MHz radio-frequency identification tag application. IET Circuits Devices Syst. 12(6): 771-776 (2018) - [c19]Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen:
Active Feature Acquisition with Supervised Matrix Completion. KDD 2018: 1571-1579 - [c18]Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama:
Co-teaching: Robust training of deep neural networks with extremely noisy labels. NeurIPS 2018: 8536-8546 - [c17]Ran Liu, Miao Xu, Yanzhen Zhang, Yangting Zheng, Yang Zhao, Yaqiong Liu:
Hardware Architecture for Real-Time Depth-image-based Rendering System. SPAC 2018: 279-284 - [i6]Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen:
Active Feature Acquisition with Supervised Matrix Completion. CoRR abs/1802.05380 (2018) - [i5]Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama:
Co-sampling: Training Robust Networks for Extremely Noisy Supervision. CoRR abs/1804.06872 (2018) - [i4]Miao Xu, Gang Niu, Bo Han, Ivor W. Tsang, Zhi-Hua Zhou, Masashi Sugiyama:
Matrix Co-completion for Multi-label Classification with Missing Features and Labels. CoRR abs/1805.09156 (2018) - [i3]