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ORCIDZhifeng Hao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j151]Shengbing Xu, Zhifeng Hao, Yuanhao Zhu, Zhenyou Wang, Yunhao Xiao, Bo Liu:
Semi-supervised fuzzy clustering algorithm based on prior membership degree matrix with expert preference. Expert Syst. Appl. 238(Part C): 121812 (2024)- 2023
- [j150]Ruichu Cai, Liting Huang, Wei Chen
, Jie Qiao, Zhifeng Hao:
Learning dynamic causal mechanisms from non-stationary data. Appl. Intell. 53(5): 5437-5448 (2023) - [j149]Yinghan Hong, Junping Guo, Guizhen Mai, Yingqing Lin, Hao Zhang, Zhifeng Hao, Gengzhong Zheng:
High-dimensional causal discovery based on heuristic causal partitioning. Appl. Intell. 53(20): 23768-23796 (2023) - [j148]Dan Wang, Fangqi Chen, Zhifeng Hao, Marian Wiercigroch:
Nonlinear energy harvesting from rotating system. Commun. Nonlinear Sci. Numer. Simul. 127: 107521 (2023) - [j147]Zhifeng Hao, Junbin Chen, Wen Wen, Biao Wu, Ruichu Cai:
A selection-pattern-aware recommendation model with colored-motif attention network. Neurocomputing 538: 126178 (2023) - [j146]Jiubing Liu, Xinying Guo, Peijia Ren, Libo Zhang, Zhifeng Hao:
Consensus of three-way group decision with weight updating based on a novel linguistic intuitionistic fuzzy similarity. Inf. Sci. 648: 119537 (2023) - [j145]Yanshan Xiao, Liangwang Zhang, Bo Liu, Ruichu Cai, Zhifeng Hao:
Multi-task ordinal regression with labeled and unlabeled data. Inf. Sci. 649: 119669 (2023) - [j144]Wen Wen, Wencui Wang, Zhifeng Hao, Ruichu Cai:
Factorizing time-heterogeneous Markov transition for temporal recommendation. Neural Networks 159: 84-96 (2023) - [j143]Geping Yang, Sucheng Deng, Xiang Chen, Can Chen, Yiyang Yang, Zhiguo Gong, Zhifeng Hao:
RESKM: A General Framework to Accelerate Large-Scale Spectral Clustering. Pattern Recognit. 137: 109275 (2023) - [j142]Huanlin Li, Yuwei Cai, Juncao Hong, Peng Xu, Hui Cheng, Xiaomin Zhu, Bingliang Hu, Zhifeng Hao, Zhun Fan:
VG-Swarm: A Vision-Based Gene Regulation Network for UAVs Swarm Behavior Emergence. IEEE Robotics Autom. Lett. 8(3): 1175-1182 (2023) - [j141]Zhun Fan, Zhaojun Wang, Wenji Li, Xiaomin Zhu, Bingliang Hu, An-Min Zou, Weidong Bao, Minqiang Gu, Zhifeng Hao, Yaochu Jin:
Automated pattern generation for swarm robots using constrained multi-objective genetic programming. Swarm Evol. Comput. 81: 101337 (2023) - [j140]Han Huang, Fujian Feng, Shuqiang Huang, Liang Chen, Zhifeng Hao:
Microscale Searching Algorithm for Coupling Matrix Optimization of Automated Microwave Filter Tuning. IEEE Trans. Cybern. 53(5): 2829-2840 (2023) - [j139]Junpeng Su, Han Huang, Gang Li, Xueqiang Li, Zhifeng Hao:
Self-Organizing Neural Scheduler for the Flexible Job Shop Problem With Periodic Maintenance and Mandatory Outsourcing Constraints. IEEE Trans. Cybern. 53(9): 5533-5544 (2023) - [j138]Geping Yang, Sucheng Deng, Can Chen, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao:
LiteWSEC: A Lightweight Framework for Web-Scale Spectral Ensemble Clustering. IEEE Trans. Knowl. Data Eng. 35(10): 10035-10047 (2023) - [j137]Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Libo Huang, Shohei Shimizu:
Nonlinear Causal Discovery for High-Dimensional Deterministic Data. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2234-2245 (2023) - [j136]Shuling Yang, Han Huang, Fan Luo, Yang Xu, Zhifeng Hao:
Local-Diversity Evaluation Assignment Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1697-1709 (2023) - [c110]Wenji Li, Ruitao Mai, Pengxiang Ren, Zhaojun Wang, Qinchang Zhang, Ning Xu, Biao Xu, Zhun Fan, Zhifeng Hao:
A Surrogate-Ensemble Assisted Coevolutionary Algorithm for Expensive Constrained Multi-Objective Optimization Problems. CEC 2023: 1-7 - [c109]Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao:
Generalization Bound for Estimating Causal Effects from Observational Network Data. CIKM 2023: 163-172 - [c108]Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang:
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. ICML 2023: 3380-3407 - [c107]Zhifeng Hao, Haipeng Zhu, Wei Chen, Ruichu Cai:
Latent Causal Dynamics Model for Model-Based Reinforcement Learning. ICONIP (2) 2023: 219-230 - [c106]Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai:
Some General Identification Results for Linear Latent Hierarchical Causal Structure. IJCAI 2023: 3568-3576 - [c105]Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao:
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. IJCAI 2023: 5702-5710 - [c104]Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He:
Federated Deep Multi-View Clustering with Global Self-Supervision. ACM Multimedia 2023: 3498-3506 - [c103]Zhenqian Wu, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Lifang He:
Generative Neutral Features-Disentangled Learning for Facial Expression Recognition. ACM Multimedia 2023: 4300-4308 - [i29]Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao:
A Survey on Causal Reinforcement Learning. CoRR abs/2302.05209 (2023) - [i28]Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao:
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. CoRR abs/2305.05986 (2023) - [i27]Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang:
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. CoRR abs/2305.19582 (2023) - [i26]Ruichu Cai, Yuequn Liu, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao:
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. CoRR abs/2306.14114 (2023) - [i25]Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao:
Generalization bound for estimating causal effects from observational network data. CoRR abs/2308.04011 (2023) - [i24]Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He:
Federated Deep Multi-View Clustering with Global Self-Supervision. CoRR abs/2309.13697 (2023) - [i23]Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang:
Subspace Identification for Multi-Source Domain Adaptation. CoRR abs/2310.04723 (2023) - [i22]Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang:
Identifying Semantic Component for Robust Molecular Property Prediction. CoRR abs/2311.04837 (2023) - 2022
- [j135]Zhun Fan, Zehao Zheng, Biao Xu, Wenji Li, Yonggang Zhang, Zhifeng Hao:
Performance optimization of hard rock tunnel boring machine using multi-objective evolutionary algorithm. Comput. Ind. Eng. 169: 108251 (2022) - [j134]Zhifeng Hao, Dan Wang, Marian Wiercigroch:
Nonlinear dynamics of new magneto-mechanical oscillator. Commun. Nonlinear Sci. Numer. Simul. 105: 106092 (2022) - [j133]Lijuan Wang, Lin Zhang, Ming Yin, Zhifeng Hao, Ruichu Cai, Wen Wen:
Double embedding-transfer-based multi-view spectral clustering. Expert Syst. Appl. 210: 118374 (2022) - [j132]Dan Wang, Zhifeng Hao, Fangqi Chen, Yushu Chen:
Multi-Mode Motion Dynamics of a Top Tensioned Riser Excited by Vortices and Varying Tension. Int. J. Bifurc. Chaos 32(10): 2250144:1-2250144:17 (2022) - [j131]Wei Chen, Jibin Chen, Ruichu Cai, Yuequn Liu, Zhifeng Hao:
Learning granger causality for non-stationary Hawkes processes. Neurocomputing 468: 22-32 (2022) - [j130]Ruichu Cai, Zhaolong Lin, Wei Chen, Zhifeng Hao:
Shared state space model for background information extraction and time series prediction. Neurocomputing 468: 85-96 (2022) - [j129]Zhifeng Hao, Junhao Chen, Wen Wen, Biao Wu, Ruichu Cai:
Motif-based memory networks for complex-factoid question answering. Neurocomputing 485: 12-21 (2022) - [j128]Liang Zhao, Yanshan Xiao, Bo Liu, Zhifeng Hao:
Multi-view partial label machine. Inf. Sci. 586: 310-325 (2022) - [j127]Yibang Ruan, Yanshan Xiao, Zhifeng Hao, Bo Liu:
A convex multi-class model via distance metric learning based class-to-instance confidence. Knowl. Based Syst. 258: 109791 (2022) - [j126]Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao:
Causal discovery from multi-domain data using the independence of modularities. Neural Comput. Appl. 34(3): 1939-1949 (2022) - [j125]Han Huang, Shuling Yang, Xueqiang Li, Zhifeng Hao:
An Embedded Hamiltonian Graph-Guided Heuristic Algorithm for Two-Echelon Vehicle Routing Problem. IEEE Trans. Cybern. 52(7): 5695-5707 (2022) - [j124]Fangqing Liu, Han Huang, Junpeng Su, Stuart D. Semujju, Zhongming Yang, Zhifeng Hao:
Manifold-Inspired Search-Based Algorithm for Automated Test Case Generation. IEEE Trans. Emerg. Top. Comput. 10(2): 1075-1090 (2022) - [j123]Xiaohang Xu, Hao Peng, Md. Zakirul Alam Bhuiyan, Zhifeng Hao, Lianzhong Liu, Lichao Sun, Lifang He:
Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data. IEEE Trans. Ind. Informatics 18(7): 4788-4797 (2022) - [j122]Wei Chen, Ruichu Cai, Kun Zhang, Zhifeng Hao:
Causal Discovery in Linear Non-Gaussian Acyclic Model With Multiple Latent Confounders. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2816-2827 (2022) - [j121]Yibang Ruan, Yanshan Xiao, Zhifeng Hao, Bo Liu:
A Convex Model for Support Vector Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3533-3546 (2022) - [c102]Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai:
Identification of Linear Latent Variable Model with Arbitrary Distribution. AAAI 2022: 6350-6357 - [c101]Geping Yang, Sucheng Deng, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao:
LiteWSC: A Lightweight Framework for Web-Scale Spectral Clustering. DASFAA (2) 2022: 556-573 - [c100]Huaxing Huang, Guijie Zhu, Zhun Fan, Hao Zhai, Yuwei Cai, Ze Shi, Zhaohui Dong, Zhifeng Hao:
Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation. IROS 2022: 13745-13752 - [c99]Geping Yang, Hongzhang Lv, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao:
FastDEC: Clustering by Fast Dominance Estimation. ECML/PKDD (1) 2022: 138-156 - [i21]Huaxing Huang, Guijie Zhu, Zhun Fan, Hao Zhai, Yuwei Cai, Ze Shi, Zhaohui Dong, Zhifeng Hao:
Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation. CoRR abs/2203.02650 (2022) - [i20]Yuwei Cai, Huanlin Li, Zhun Fan, Juncao Hong, Peng Xu, Hui Cheng, Xiaomin Zhu, Bingliang Hu, Zhifeng Hao:
VGSwarm: A Vision-based Gene Regulation Network for UAVs Swarm Behavior Emergence. CoRR abs/2206.08669 (2022) - [i19]Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao:
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach. CoRR abs/2212.07056 (2022) - 2021
- [j120]Yandi Chen, Ao Guo, Qinqun Chen, Bin Quan, Guiqing Liu, Li Li, Jiaming Hong, Hang Wei, Zhifeng Hao:
Intelligent classification of antepartum cardiotocography model based on deep forest. Biomed. Signal Process. Control. 67: 102555 (2021) - [j119]Hang Wei, Han Huang, Zhifeng Hao, Qin-Qun Chen, Witold Pedrycz, Gang Li:
A real adjacency matrix-coded evolution algorithm for highly linkage-based routing problems. Int. J. Bio Inspired Comput. 18(1): 1-12 (2021) - [j118]Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao:
Learning causal structures using hidden compact representation. Neurocomputing 463: 328-333 (2021) - [j117]Yiyang Yang, Sucheng Deng, Juan Lu, Yuhong Li, Zhiguo Gong, Leong Hou U, Zhifeng Hao:
GraphLSHC: Towards large scale spectral hypergraph clustering. Inf. Sci. 544: 117-134 (2021) - [j116]Yibang Ruan, Yanshan Xiao, Zhifeng Hao, Bo Liu:
A nearest-neighbor search model for distance metric learning. Inf. Sci. 552: 261-277 (2021) - [j115]Xichen Zheng, Chengsen Ren, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao:
QuickDSC: Clustering by Quick Density Subgraph Estimation. Inf. Sci. 581: 403-427 (2021) - [j114]Jian Zhu, Silong Li, Ruichu Cai, Zhifeng Hao, Guoheng Huang, Bin Sheng, Enhua Wu:
Compensating the vorticity loss during advection with an adaptive vorticity confinement force. Comput. Animat. Virtual Worlds 32(1) (2021) - [j113]Liting Huang, Zhiying Jiang, Ruichu Cai, Li Li, Qinqun Chen, Jiaming Hong, Zhifeng Hao, Hang Wei:
Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records. BMC Medical Informatics Decis. Mak. 21(1): 355 (2021) - [j112]Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu:
Semi-supervised disentangled framework for transferable named entity recognition. Neural Networks 135: 127-138 (2021) - [j111]Wei-Chang Yeh, Zhifeng Hao, Majid Forghani-elahabad, Gai-Ge Wang, Yih-Lon Lin:
Novel Binary-Addition Tree Algorithm for Reliability Evaluation of Acyclic Multistate Information Networks. Reliab. Eng. Syst. Saf. 210: 107427 (2021) - [j110]Zhifeng Hao, Wei-Chang Yeh, Shi-Yi Tan:
One-batch preempt deterioration-effect multi-state multi-rework network reliability problem and algorithms. Reliab. Eng. Syst. Saf. 215: 107883 (2021) - [j109]Fangqing Liu, Han Huang, Zhongming Yang, Zhifeng Hao, Jiangping Wang:
Search-Based Algorithm With Scatter Search Strategy for Automated Test Case Generation of NLP Toolkit. IEEE Trans. Emerg. Top. Comput. Intell. 5(3): 491-503 (2021) - [j108]Jie Qiao, Ruichu Cai, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models. ACM Trans. Intell. Syst. Technol. 12(6): 80:1-80:28 (2021) - [j107]Zhifeng Hao, Di Wu, Yuan Fang, Min Wu, Ruichu Cai, Xiaoli Li:
Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder. IEEE J. Biomed. Health Informatics 25(10): 4041-4051 (2021) - [c98]Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao:
Appearance-Motion Memory Consistency Network for Video Anomaly Detection. AAAI 2021: 938-946 - [c97]Bin Quan, Manli Yang, Xia Li, Qinqun Chen, Guiqing Liu, Jiaming Hong, Zhifeng Hao, Li Li, Hang Wei:
Research on the Design of Active Learning Algorithm based on Query-by-Committee for Intelligent Fetal Monitoring. BIBM 2021: 515-521 - [c96]Junyuan Feng, Jincheng Liang, Zihan Qiang, Xia Li, Qinqun Chen, Guiqing Liu, Jiaming Hong, Zhifeng Hao, Hang Wei:
Effective techniques for intelligent cardiotocography interpretation using XGB-RF feature selection and stacking fusion. BIBM 2021: 2667-2673 - [c95]Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao:
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CAWS 2021: 1-4 - [c94]Junpeng Su, Han Huang, Zhifeng Hao:
Cooperative co-evolution strategies with time-dependent grouping for optimization problems in smart grids. GECCO Companion 2021: 3-4 - [c93]Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao:
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. IJCAI 2021: 2097-2103 - [c92]Ruichu Cai, Jinjie Yuan, Boyan Xu, Zhifeng Hao:
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. NeurIPS 2021: 7664-7676 - [i18]Wei Chen, Kun Zhang, Ruichu Cai, Biwei Huang, Joseph D. Ramsey, Zhifeng Hao, Clark Glymour:
FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders. CoRR abs/2103.14238 (2021) - [i17]Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang:
THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences. CoRR abs/2105.10884 (2021) - [i16]Ruichu Cai, Weilin Chen, Jie Qiao, Zhifeng Hao:
On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization. CoRR abs/2106.02835 (2021) - [i15]Ruichu Cai, Jinjie Yuan, Boyan Xu, Zhifeng Hao:
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. CoRR abs/2111.00653 (2021) - [i14]Wei Chen, Yunjin Wu, Ruichu Cai, Yueguo Chen, Zhifeng Hao:
CCSL: A Causal Structure Learning Method from Multiple Unknown Environments. CoRR abs/2111.09666 (2021) - [i13]Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao:
Motif Graph Neural Network. CoRR abs/2112.14900 (2021) - 2020
- [j106]Zhifeng Hao, Wei-Chang Yeh, Cheng-Feng Hu, Neal N. Xiong, Yi-Zhu Su, Chia-Ling Huang:
A Novel Convolution-Based Algorithm for the Acyclic Network Symbolic Reliability Function Problem. IEEE Access 8: 99337-99345 (2020) - [j105]Min-fan He, Zhifeng Hao, Wei-Chang Yeh, Chia-Chen Kuo, Neal N. Xiong, Yeou-Ren Shiue:
Quickest Multistate Flow Networks With the Deterioration Effect. IEEE Access 8: 145535-145541 (2020) - [j104]Jian Zhu, Zhuo Yang, Hanqiu Sun, Enhua Wu, Ruichu Cai, Zhifeng Hao:
Detail-preserving smoke simulation using an efficient high-order numerical scheme. Sci. China Inf. Sci. 63(6) (2020) - [j103]Lijuan Wang, Jiawen Huang, Ming Yin, Ruichu Cai, Zhifeng Hao:
Block diagonal representation learning for robust subspace clustering. Inf. Sci. 526: 54-67 (2020) - [j102]Jian Zhu, Silong Li, Ruichu Cai, Zhifeng Hao, Guoheng Huang, Bin Sheng, Enhua Wu:
Animating turbulent fluid with a robust and efficient high-order advection method. Comput. Animat. Virtual Worlds 31(4-5) (2020) - [j101]Wei Chen, Ruichu Cai, Zhifeng Hao, Chang Yuan, Feng Xie:
Mining hidden non-redundant causal relationships in online social networks. Neural Comput. Appl. 32(11): 6913-6923 (2020) - [j100]Biao Wu, Wen Wen, Zhifeng Hao, Ruichu Cai:
Multi-context aware user-item embedding for recommendation. Neural Networks 124: 86-94 (2020) - [j99]Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Liang Ou, Ruihui Huang:
A causal discovery algorithm based on the prior selection of leaf nodes. Neural Networks 124: 130-145 (2020) - [j98]Ruichu Cai, Jincheng Ye, Jie Qiao, Huiyuan Fu, Zhifeng Hao:
FOM: Fourth-order moment based causal direction identification on the heteroscedastic data. Neural Networks 124: 193-201 (2020) - [j97]Zhifeng Hao, Wei-Chang Yeh, Ming Zuo, Jing Wang:
Multi-distribution multi-commodity multistate flow network model and its reliability evaluation algorithm. Reliab. Eng. Syst. Saf. 193: 106668 (2020) - [j96]Zhifeng Hao, Wei-Chang Yeh, Zhenyao Liu, Majid Forghani-elahabad:
General multi-state rework network and reliability algorithm. Reliab. Eng. Syst. Saf. 203: 107048 (2020) - [j95]Guizhen Mai, Yinghan Hong, Shen Fu, Yingqing Lin, Zhifeng Hao, Han Huang, Yuanhao Zhu:
Optimization of Lennard-Jones clusters by particle swarm optimization with quasi-physical strategy. Swarm Evol. Comput. 57: 100710 (2020) - [j94]Xueming Yan, Han Huang, Zhifeng Hao, Jiahai Wang:
A Graph-Based Fuzzy Evolutionary Algorithm for Solving Two-Echelon Vehicle Routing Problems. IEEE Trans. Evol. Comput. 24(1): 129-141 (2020) - [j93]Han Huang, Junpeng Su, Yushan Zhang, Zhifeng Hao:
An Experimental Method to Estimate Running Time of Evolutionary Algorithms for Continuous Optimization. IEEE Trans. Evol. Comput. 24(2): 275-289 (2020) - [j92]Xiao-Peng Yang, Zhifeng Hao:
Supereigenvalue Problem to Addition-Min Fuzzy Matrix With Application in P2P File Sharing System. IEEE Trans. Fuzzy Syst. 28(8): 1640-1651 (2020) - [j91]Feng Xie, Ruichu Cai, Yan Zeng, Jiantao Gao, Zhifeng Hao:
An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1667-1680 (2020) - [j90]Ruichu Cai, Jiahao Li, Zhenjie Zhang, Xiaoyan Yang, Zhifeng Hao:
DACH: Domain Adaptation Without Domain Information. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5055-5067 (2020) - [c91]Yue Fei, Xiaoqian Huang, Qinqun Chen, Jiamin Chen, Li Li, Jiaming Hong, Zhifeng Hao, Hang Wei:
Automatic Classification of Antepartum Cardiotocography Using Fuzzy Clustering and Adaptive Neuro -Fuzzy Inference System. BIBM 2020: 1938-1942 - [c90]Yajun Huang, Jingbin Zhang, Yiyang Yang, Zhiguo Gong, Zhifeng Hao:
GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation. CIKM 2020: 545-554 - [c89]Kailin Tang, Zhifeng Hao, Ruichu Cai, Tom Z. J. Fu, Yin Yang, Li Wang, Marianne Winslett, Zhenjie Zhang:
DRS+: Load Shedding Meets Resource Auto-Scaling in Distributed Stream Processing. HPCC/DSS/SmartCity 2020: 292-301 - [c88]Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang:
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs. NeurIPS 2020 - [i12]Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao:
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CoRR abs/2009.09176 (2020) - [i11]Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang:
Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs. CoRR abs/2010.04917 (2020) - [i10]Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu:
Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition. CoRR abs/2012.11805 (2020) - [i9]Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. CoRR abs/2012.11807 (2020)
2010 – 2019
- 2019
- [j89]