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ORCIDZhifeng Hao
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2020 – today
- 2024
[j177]Ruichu Cai, Yunjin Wu, Xiaokai Huang, Wei Chen, Tom Z. J. Fu, Zhifeng Hao:
Granger causal representation learning for groups of time series. Sci. China Inf. Sci. 67(5) (2024)- [j176]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) - [j175]Jie Cao, Han Huang, Fangqing Liu, Qiuhong Zhang, Zhifeng Hao:
Multi-task collaborative method based on manifold optimization for automated test case generation based on path coverage. Expert Syst. Appl. 251: 123932 (2024) - [j174]Yanshan Xiao, Guitao Pan, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
Privileged multi-view one-class support vector machine. Neurocomputing 572: 127186 (2024) - [j173]Zhifeng Hao, Yaochu Jin, Xueming Yan, Chuyue Wang, Shangshang Yang, Hong Ge:
Cross-modal hashing retrieval with compatible triplet representation. Neurocomputing 602: 128293 (2024) - [j172]Yazhou Ren, Xinyue Chen, Jie Xu, Jingyu Pu, Yonghao Huang, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He:
A novel federated multi-view clustering method for unaligned and incomplete data fusion. Inf. Fusion 108: 102357 (2024) - [j171]Yanshan Xiao, Junfeng Chen, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
A new multi-view multi-label model with privileged information learning. Inf. Sci. 656: 119911 (2024) - [j170]Luyao Ma, Geping Yang, Yiyang Yang, Xiang Chen, Juan Lu, Zhiguo Gong, Zhifeng Hao:
UP-DPC: Ultra-scalable parallel density peak clustering. Inf. Sci. 660: 120114 (2024) - [j169]Yuan Fang, Geping Yang, Xiang Chen, Zhiguo Gong, Yiyang Yang, Can Chen, Zhifeng Hao:
Landmark-based k-factorization multi-view subspace clustering. Inf. Sci. 667: 120480 (2024) - [j168]Yanshan Xiao, Mengyue Zeng, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
Multi-task ordinal regression with task weight discovery. Knowl. Based Syst. 305: 112616 (2024) - [j167]Yue Wang, Yong Yang, Mingsheng Liu, Xianghong Tang, Haibin Wang, Zhifeng Hao, Ze Shi, Gang Wang, Botao Jiang, Chunyang Liu:
Industrial product surface defect detection via the fast denoising diffusion implicit model. Int. J. Mach. Learn. Cybern. 15(11): 5091-5106 (2024) - [j166]Ruichu Cai, Ruming Lu, Wei Chen, Zhifeng Hao:
Counterfactual contextual bandit for recommendation under delayed feedback. Neural Comput. Appl. 36(23): 14599-14613 (2024) - [j165]Wen Wen, Shiyuan Wu, Ruichu Cai, Zhifeng Hao:
Cross-KG Link Prediction by Learning Substructural Semantics. Neural Process. Lett. 56(1): 40 (2024) - [j164]Zijian Li, Ruichu Cai, Tom Z. J. Fu, Zhifeng Hao, Kun Zhang:
Transferable Time-Series Forecasting Under Causal Conditional Shift. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 1932-1949 (2024) - [j163]Sucheng Deng, Geping Yang, Yiyang Yang, Zhiguo Gong, Can Chen, Xiang Chen, Zhifeng Hao:
Module-based graph pooling for graph classification. Pattern Recognit. 154: 110606 (2024) - [j162]Lijuan Wang, Shaomin Chen, Ming Yin, Zhifeng Hao, Ruichu Cai:
Block diagonal representation learning with local invariance for face clustering. Soft Comput. 28(13-14): 8133-8149 (2024) - [j161]Wenji Li, Ruitao Mai, Zhaojun Wang, Yifeng Qiu, Biao Xu, Zhifeng Hao, Zhun Fan:
Surrogate-assisted push and pull search for expensive constrained multi-objective optimization problems. Swarm Evol. Comput. 91: 101728 (2024) - [j160]Yanshan Xiao, Jianwei Zhang, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
Multi-View Maximum Margin Clustering With Privileged Information Learning. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2719-2733 (2024) - [j159]Han Huang, Yueting Xu, Yi Xiang, Zhifeng Hao:
Correlation-Based Dynamic Allocation Scheme of Fitness Evaluations for Constrained Evolutionary Optimization. IEEE Trans. Evol. Comput. 28(5): 1250-1264 (2024) - [j158]Xueming Yan, Han Huang, Yaochu Jin, Liang Chen, Zhanning Liang, Zhifeng Hao:
Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 350-363 (2024) - [j157]Xiaopeng Yang, Zhifeng Hao, Jianjun Qiu, Qianyu Shu:
Variable-Absent Fuzzy Relation Inequality With Max-Min Composition. IEEE Trans. Fuzzy Syst. 32(3): 733-744 (2024) - [j156]Jiubing Liu, Shutian Huang, Tianrui Li, Qiang Liang, Huaxiong Li, Zhifeng Hao:
Models and Algorithms for Optimizing Thresholds in Fuzzy Representation-Based Three-Way Decision. IEEE Trans. Fuzzy Syst. 32(9): 4912-4926 (2024) - [j155]Song Wu, Yan Zheng, Yazhou Ren, Jing He, Xiaorong Pu, Shudong Huang, Zhifeng Hao, Lifang He:
Self-Weighted Contrastive Fusion for Deep Multi-View Clustering. IEEE Trans. Multim. 26: 9150-9162 (2024) - [j154]Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang:
THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences. IEEE Trans. Neural Networks Learn. Syst. 35(1): 479-493 (2024) - [j153]Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao:
Motif Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14833-14847 (2024) - [c129]Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao:
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. AAAI 2024: 11132-11140 - [c128]Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He:
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. AAAI 2024: 14633-14641 - [c127]Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He:
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. AAAI 2024: 15841-15849 - [c126]Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng:
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. AAAI 2024: 16290-16298 - [c125]Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang:
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. AAAI 2024: 20353-20361 - [c124]Yuequn Liu, Ruichu Cai, 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. AAAI 2024: 20491-20499 - [c123]Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao:
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. AAAI 2024: 20516-20523 - [c122]Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao:
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. AAAI 2024: 20524-20531 - [c121]Bingfeng Chen, Qihan Ouyang, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao:
S²GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis. ACL (1) 2024: 13366-13379 - [c120]Zhe Liu, Xiang Huang, Jingyun Zhang, Zhifeng Hao, Li Sun, Hao Peng:
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis. CIKM 2024: 1555-1564 - [c119]Bi Li, Boyu Chen, Nankai Lin, Xueming Yan, Yue Xie, Zhifeng Hao:
Generating Synthetic Tabular Data by Using Image Generative Adversarial Networks. GECCO Companion 2024: 1616-1622 - [c118]Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato:
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. ICML 2024 - [c117]Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao:
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. ICML 2024 - [c116]Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao:
Reducing Balancing Error for Causal Inference via Optimal Transport. ICML 2024 - [c115]Wei Chen, Xiaokai Huang, Zijian Li, Ruichu Cai, Zhiyi Huang, Zhifeng Hao:
Individual Causal Structure Learning from Population Data. IJCAI 2024: 7109-7117 - [c114]Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao:
SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection. KDD 2024: 3841-3852 - [c113]Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu:
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. SDM 2024: 145-153 - [i53]Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He:
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. CoRR abs/2401.02682 (2024) - [i52]Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao:
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy. CoRR abs/2402.04869 (2024) - [i51]Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato:
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. CoRR abs/2402.08845 (2024) - [i50]Xuexin Chen, Ruichu Cai, Kaitao Zheng, Zhifan Jiang, Zhengting Huang, Zhifeng Hao, Zijian Li:
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency. CoRR abs/2402.09165 (2024) - [i49]Zijian Li, Ruichu Cai, Zhenhui Yang, Haiqin Huang, Guangyi Chen, Yifan Shen, Zhengming Chen, Xiangchen Song, Zhifeng Hao, Kun Zhang:
When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting. CoRR abs/2402.12767 (2024) - [i48]Zijian Li, Ruichu Cai, Haiqin Huang, Sili Zhang, Yuguang Yan, Zhifeng Hao, Zhenghua Dong:
Debiased Model-based Interactive Recommendation. CoRR abs/2402.15819 (2024) - [i47]Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao:
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. CoRR abs/2403.16523 (2024) - [i46]Hao Peng, Jingyun Zhang, Xiang Huang, Zhifeng Hao, Angsheng Li, Zhengtao Yu, Philip S. Yu:
Unsupervised Social Bot Detection via Structural Information Theory. CoRR abs/2404.13595 (2024) - [i45]Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao:
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. CoRR abs/2405.03342 (2024) - [i44]Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu:
Multi-Relational Structural Entropy. CoRR abs/2405.07096 (2024) - [i43]Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao:
SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detection. CoRR abs/2405.11225 (2024) - [i42]Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Zhifeng Hao, Zhengmao Zhu, Guangyi Chen, Kun Zhang:
On the Identification of Temporally Causal Representation with Instantaneous Dependence. CoRR abs/2405.15325 (2024) - [i41]Ruichu Cai, Zhifang Jiang, Zijian Li, Weilin Chen, Xuexin Chen, Zhifeng Hao, Yifan Shen, Guangyi Chen, Kun Zhang:
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. CoRR abs/2405.16083 (2024) - [i40]Bingfeng Chen, Qihan Ouyang, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao:
S2GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis. CoRR abs/2406.02902 (2024) - [i39]Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang:
Learning Discrete Latent Variable Structures with Tensor Rank Conditions. CoRR abs/2406.07020 (2024) - [i38]Zeqin Yang, Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, Zhipeng Yu, Zhichao Zou, Zhen Peng, Jiecheng Guo:
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights. CoRR abs/2406.19195 (2024) - [i37]Jiafan Zhuang, Gaofei Han, Zihao Xia, Boxi Wang, Wenji Li, Dongliang Wang, Zhifeng Hao, Ruichu Cai, Zhun Fan:
Robust Policy Learning for Multi-UAV Collision Avoidance with Causal Feature Selection. CoRR abs/2407.04056 (2024) - [i36]Jiafan Zhuang, Zihao Xia, Gaofei Han, Boxi Wang, Wenji Li, Dongliang Wang, Zhifeng Hao, Ruichu Cai, Zhun Fan:
Collision Avoidance for Multiple UAVs in Unknown Scenarios with Causal Representation Disentanglement. CoRR abs/2407.04064 (2024) - [i35]Xuexin Chen, Ruichu Cai, Kaitao Zheng, Zhifan Jiang, Zhengting Huang, Zhifeng Hao, Zijian Li:
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency. CoRR abs/2407.15273 (2024) - [i34]Zhe Liu, Xiang Huang, Jingyun Zhang, Zhifeng Hao, Li Sun, Hao Peng:
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis. CoRR abs/2408.13082 (2024) - 2023
- [j152]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) - [j151]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) - [j150]Dan Wang, Fangqi Chen, Zhifeng Hao, Marian Wiercigroch:
Nonlinear energy harvesting from rotating system. Commun. Nonlinear Sci. Numer. Simul. 127: 107521 (2023) - [j149]Stuart Dereck Semujju, Han Huang, Fangqing Liu, Yi Xiang, Zhifeng Hao:
Search-Based Software Test Data Generation for Path Coverage Based on a Feedback-Directed Mechanism. Complex Syst. Model. Simul. 3(1): 12-31 (2023) - [j148]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) - [j147]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) - [j146]Yanshan Xiao, Liangwang Zhang, Bo Liu, Ruichu Cai, Zhifeng Hao:
Multi-task ordinal regression with labeled and unlabeled data. Inf. Sci. 649: 119669 (2023) - [j145]Wen Wen, Wencui Wang, Zhifeng Hao, Ruichu Cai:
Factorizing time-heterogeneous Markov transition for temporal recommendation. Neural Networks 159: 84-96 (2023) - [j144]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) - [j143]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) - [j142]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) - [j141]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) - [j140]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) - [j139]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) - [j138]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) - [j137]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) - [j136]Wenji Li, Zhaojun Wang, Ruitao Mai, Pengxiang Ren, Qinchang Zhang, Yutao Zhou, Ning Xu, Jiafan Zhuang, Bin Xin, Liang Gao, Zhifeng Hao, Zhun Fan:
Modular design automation of the morphologies, controllers, and vision systems for intelligent robots: a survey. Vis. Intell. 1(1) (2023) - [c112]Luyao Ma, Geping Yang, Xiang Chen, Yiyang Yang, Zhiguo Gong, Zhifeng Hao:
Ultra-DPC: Ultra-scalable and Index-Free Density Peak Clustering. APWeb/WAIM (4) 2023: 139-154 - [c111]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 - [c110]Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao:
Generalization Bound for Estimating Causal Effects from Observational Network Data. CIKM 2023: 163-172 - [c109]Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang:
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. ICML 2023: 3380-3407 - [c108]Zhifeng Hao, Haipeng Zhu, Wei Chen, Ruichu Cai:
Latent Causal Dynamics Model for Model-Based Reinforcement Learning. ICONIP (2) 2023: 219-230 - [c107]Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai:
Some General Identification Results for Linear Latent Hierarchical Causal Structure. IJCAI 2023: 3568-3576 - [c106]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 - [c105]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 - [c104]Zhenqian Wu, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Lifang He:
Generative Neutral Features-Disentangled Learning for Facial Expression Recognition. ACM Multimedia 2023: 4300-4308 - [c103]Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang:
Subspace Identification for Multi-Source Domain Adaptation. NeurIPS 2023 - [i33]Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao:
A Survey on Causal Reinforcement Learning. CoRR abs/2302.05209 (2023) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang:
Subspace Identification for Multi-Source Domain Adaptation. CoRR abs/2310.04723 (2023) - [i26]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) - [i25]Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu:
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. CoRR abs/2312.11152 (2023) - [i24]Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang:
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. CoRR abs/2312.11934 (2023) - [i23]Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao:
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. CoRR abs/2312.12206 (2023) - [i22]Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao:
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. CoRR abs/2312.13628 (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]Bingfeng Chen, Zhifeng Hao, Xiaofeng Cai, Ruichu Cai, Wen Wen, Jian Zhu, Guangqiang Xie:
Embedding Logic Rules Into Recurrent Neural Networks. IEEE Access 7: 14938-14946 (2019) - [j88]Boyan Xu, Ruichu Cai, Zhenjie Zhang, Xiaoyan Yang, Zhifeng Hao, Zijian Li, Zhihao Liang:
NADAQ: Natural Language Database Querying Based on Deep Learning. IEEE Access 7: 35012-35017 (2019) - [j87]Yaling Zhang, Zhifeng Hao, Shangping Wang:
A Differential Privacy Support Vector Machine Classifier Based on Dual Variable Perturbation. IEEE Access 7: 98238-98251 (2019) - [j86]Yihui Liang, Han Huang, Zhaoquan Cai, Zhifeng Hao, Kay Chen Tan:
Deep infrared pedestrian classification based on automatic image matting. Appl. Soft Comput. 77: 484-496 (2019) - [j85]Yushan Zhang, Han Huang, Hongyue Wu, Zhifeng Hao:
Theoretical analysis of the convergence property of a basic pigeon-inspired optimizer in a continuous search space. Sci. China Inf. Sci. 62(7): 70207:1-70207:9 (2019) - [j84]Peng Shi, Wanyuan Wang, Yifeng Zhou, Jiuchuan Jiang, Yichuan Jiang, Zhifeng Hao, Jianyong Yu:
Practical POMDP-based test mechanism for quality assurance in volunteer crowdsourcing. Enterp. Inf. Syst. 13(7-8): 979-1001 (2019) - [j83]Zhifeng Hao, Wei-Chang Yeh, Jing Wang, Gai-Ge Wang, Bin Sun:
A Quick Inclusion-Exclusion technique. Inf. Sci. 486: 20-30 (2019) - [j82]Fuhan Yan, Jiuchuan Jiang, Kai Di, Yichuan Jiang, Zhifeng Hao:
Multiagent Pursuit-Evasion Problem with the Pursuers Moving at Uncertain Speeds. J. Intell. Robotic Syst. 95(1): 119-135 (2019) - [j81]Wen Wen, Zetian Lin, Ruichu Cai, Zhifeng Hao, Lijuan Wang:
基于嵌入学习的用户动态偏好预测 (Predicting User's Dynamic Preference Based on Embedding Learning). 计算机科学 46(10): 32-38 (2019) - [j80]Peng Shi, Manyu Zhao, Wanyuan Wang, Yifeng Zhou, Jiuchuan Jiang, Jinyu Zhang, Yichuan Jiang, Zhifeng Hao:
Best of both worlds: Mitigating imbalance of crowd worker strategic choices without a budget. Knowl. Based Syst. 163: 1020-1031 (2019) - [j79]Zhifeng Hao, Biao Wu, Wen Wen, Ruichu Cai:
A subgraph-representation-based method for answering complex questions over knowledge bases. Neural Networks 119: 57-65 (2019) - [j78]Yingchao Cheng, Zhifeng Hao, Ruichu Cai:
Auto-scaling for real-time stream analytics on HPC cloud. Serv. Oriented Comput. Appl. 13(2): 169-183 (2019) - [j77]Han Huang, Liang Lv, Shujin Ye, Zhifeng Hao:
Particle swarm optimization with convergence speed controller for large-scale numerical optimization. Soft Comput. 23(12): 4421-4437 (2019) - [j76]Bi Li, Yan Wu, Zhifeng Hao, Xueming Yan, Boyu Chen:
The effects of trust on life satisfaction in the context of WeChat use. Telematics Informatics 42 (2019) - [j75]Yihui Liang, Han Huang, Zhaoquan Cai, Zhifeng Hao:
Multiobjective Evolutionary Optimization Based on Fuzzy Multicriteria Evaluation and Decomposition for Image Matting. IEEE Trans. Fuzzy Syst. 27(5): 1100-1111 (2019) - [j74]Han Huang, Yihui Liang, Xiaowei Yang, Zhifeng Hao:
Pixel-Level Discrete Multiobjective Sampling for Image Matting. IEEE Trans. Image Process. 28(8): 3739-3751 (2019) - [j73]Wanyuan Wang, Zhanpeng He, Peng Shi, Weiwei Wu, Yichuan Jiang, Bo An, Zhifeng Hao, Bing Chen:
Strategic Social Team Crowdsourcing: Forming a Team of Truthful Workers for Crowdsourcing in Social Networks. IEEE Trans. Mob. Comput. 18(6): 1419-1432 (2019) - [j72]Zhifeng Hao, Wei-Chang Yeh, Cheng-Feng Hu:
A Novel Multistate Minimal Cut Vectors Problem and Its Algorithm. IEEE Trans. Reliab. 68(1): 291-301 (2019) - [c87]Yushan Zhang, Han Huang, Zhifeng Hao, Zhou Hong:
Runtime Analysis of Pigeon-Inspired Optimizer Based on Average Gain Model. CEC 2019: 1165-1169 - [c86]Jiaying Chen, Xiaocong Liu, Hang Wei, Qinqun Chen, Jiaming Hong, Qiongna Li, Zhifeng Hao:
Imbalanced Cardiotocography Multi-classification for Antenatal Fetal Monitoring Using Weighted Random Forest. ICSH 2019: 75-85 - [c85]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Model. IJCAI 2019: 1609-1615 - [c84]Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. IJCAI 2019: 2060-2066 - [c83]Feng Xie, Ruichu Cai, Yan Zeng, Zhifeng Hao:
Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples. IScIDE (2) 2019: 381-393 - [c82]Ruichu Cai, Feng Xie, Clark Glymour, Zhifeng Hao, Kun Zhang:
Triad Constraints for Learning Causal Structure of Latent Variables. NeurIPS 2019: 12863-12872 - [i8]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Models. CoRR abs/1905.09442 (2019) - [i7]Zhifeng Hao, Wei-Chang Yeh, Zhenyao Liu:
General Multi-State Rework Network and Reliability Algorithm. CoRR abs/1912.03309 (2019) - 2018
- [j71]Gang Li, Zhifeng Hao, Han Huang, Hang Wei:
Maximizing Algebraic Connectivity via Minimum Degree and Maximum Distance. IEEE Access 6: 41249-41255 (2018) - [j70]Zhifeng Hao, Yibang Ruan, Yanshan Xiao, Bo Liu:
A multi-task-based classification framework for multi-instance distance metric learning. Neurocomputing 275: 418-429 (2018) - [j69]Yinghan Hong, Zhifeng Hao, Guizhen Mai, Han Huang:
Causal feature selection method based on extended Markov blanket. Int. J. Wirel. Mob. Comput. 15(4): 310-317 (2018) - [j68]Wen Wen, Ying Chen, Ruichu Cai, Zhifeng Hao, Lijuan Wang:
基于多视角多标签学习的读者情绪分类 (Emotion Classification for Readers Based on Multi-view Multi-label Learning). 计算机科学 45(8): 191-197 (2018) - [j67]Jian Zhu, Yu Luo, Xiaohua Ren, Ruichu Cai, Zhifeng Hao, Hanqiu Sun, Enhua Wu:
Synthetic fluid details for the vorticity loss in advection. Comput. Animat. Virtual Worlds 29(3-4) (2018) - [j66]Bo Liu, Yanshan Xiao, Zhifeng Hao:
A Selective Multiple Instance Transfer Learning Method for Text Categorization Problems. Knowl. Based Syst. 141: 178-187 (2018) - [j65]Jinyu Zhang, Xuechun Luo, Yao Zhou, Weiwei Ruan, Y. Jiang, Zhifeng Hao:
Two-way negotiation for intelligent hotel reservation based on multiagent: The model and system. Knowl. Based Syst. 161: 78-89 (2018) - [j64]Xueming Yan, Zhifeng Hao, Han Huang:
Alpha matting with image pixel correlation. Int. J. Mach. Learn. Cybern. 9(4): 621-627 (2018) - [j63]Yushan Zhang, Han Huang, Zhiyong Lin, Zhifeng Hao, Guiwu Hu:
Running-time analysis of evolutionary programming based on Lebesgue measure of searching space. Neural Comput. Appl. 30(2): 617-626 (2018) - [j62]Han Huang, Shujin Ye, Zhun Fan, Zhiyong Lin, Liang Lv, Zhifeng Hao:
Evolutionary programming with a simulated-conformist mutation strategy. Soft Comput. 22(2): 659-676 (2018) - [j61]Jiuchuan Jiang, Bo An, Yichuan Jiang, Donghui Lin, Zhan Bu, Jie Cao, Zhifeng Hao:
Understanding Crowdsourcing Systems from a Multiagent Perspective and Approach. ACM Trans. Auton. Adapt. Syst. 13(2): 8:1-8:32 (2018) - [j60]Han Huang, Fangqing Liu, Zhongming Yang, Zhifeng Hao:
Automated Test Case Generation Based on Differential Evolution With Relationship Matrix for iFogSim Toolkit. IEEE Trans. Ind. Informatics 14(11): 5005-5016 (2018) - [j59]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao, Marianne Winslett:
Sophisticated Merging Over Random Partitions: A Scalable and Robust Causal Discovery Approach. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3623-3635 (2018) - [j58]Yanshan Xiao, Bo Liu, Zhifeng Hao:
Multiple-Instance Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4398-4413 (2018) - [c81]Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao:
SELF: Structural Equational Likelihood Framework for Causal Discovery. AAAI 2018: 1787-1794 - [c80]Yao Chen, Libo Huang, Jiong He, Kunyao Zhao, Ruichu Cai, Zhifeng Hao:
HASS: High Accuracy Spike Sorting with Wavelet Package Decomposition and Mutual Information. BIBM 2018: 831-838 - [c79]Zhihao Ye, Ruichu Cai, Zhaohui Liao, Zhifeng Hao, Jinfen Li:
Generating Natural Answers on Knowledge Bases and Text by Sequence-to-Sequence Learning. ICANN (1) 2018: 447-455 - [c78]Ruichu Cai, Qiqi Zhen, Zhifeng Hao:
Identification of Causality Among Gene Mutations Through Local Causal Association Rule Discovery. ICONIP (7) 2018: 465-477 - [c77]Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen:
HPC2-ARS: An Architecture for Real-Time Analytic of Big Data Streams. ICWS 2018: 319-322 - [c76]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery from Discrete Data using Hidden Compact Representation. NeurIPS 2018: 2671-2679 - [c75]Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen, Lijuan Wang, Zhongrun Zhou:
Resource-Aware Stream Processing in High Performance Cloud Environment. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 381-388 - 2017
- [j57]Fangqing Liu, Han Huang, Xueqiang Li, Zhifeng Hao:
Automated test data generation based on particle swarm optimisation with convergence speed controller. CAAI Trans. Intell. Technol. 2(2): 73-79 (2017) - [j56]Han Huang, Fangqing Liu, Xiaoyan Zhuo, Zhifeng Hao:
Differential Evolution Based on Self-Adaptive Fitness Function for Automated Test Case Generation. IEEE Comput. Intell. Mag. 12(2): 46-55 (2017) - [j55]Wen Wen, Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Yang Li:
Recognizing activities from partially observed streams using posterior regularized conditional random fields. Neurocomputing 260: 294-301 (2017) - [j54]Han Huang, Hongyue Wu, Yushan Zhang, Zhiyong Lin, Zhifeng Hao:
Running-time Analysis of Ant System Algorithms with Upper-bound Comparison. Int. J. Swarm Intell. Res. 8(4): 1-17 (2017) - [j53]Yanshan Xiao, Bo Liu, Jie Yin, Zhifeng Hao:
A multiple-instance stream learning framework for adaptive document categorization. Knowl. Based Syst. 120: 198-210 (2017) - [j52]Yanshan Xiao, Bo Liu, Zhifeng Hao:
A Sphere-Description-Based Approach for Multiple-Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 242-257 (2017) - [j51]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao, Marianne Winslett:
Understanding Social Causalities Behind Human Action Sequences. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1801-1813 (2017) - [c74]Fangqing Liu, Han Huang, Zhifeng Hao:
Evolutionary algorithm with convergence speed controller for automated software test data generation problem. CEC 2017: 869-875 - [c73]Zhifeng Hao, Ruichu Cai, Yiyang Yang, Wen Wen, Lixin Liang:
A Dynamic Conditional Random Field Based Framework for Sentence-Level Sentiment Analysis of Chinese Microblog. CSE/EUC (1) 2017: 135-142 - [c72]Yinghan Hong, Zhifeng Hao, Guizhen Mai, Bingfeng Chen, Rui Xie:
An Approach for Inferring Causal Directions from Multi-Dimensional Networks. CSE/EUC (1) 2017: 388-392 - [c71]Xueming Yan, Zhifeng Hao, Han Huang, Hongyue Wu:
Ant colony optimization with human-computer cooperative strategy for two-echelon vehicle routing problem. GECCO (Companion) 2017: 1443-1446 - [c70]Yiyang Yang, Zhiguo Gong, Qing Li, Leong Hou U, Ruichu Cai, Zhifeng Hao:
A Robust Noise Resistant Algorithm for POI Identification from Flickr Data. IJCAI 2017: 3294-3300 - [c69]Ruichu Cai, Feng Xie, Wei Chen, Zhifeng Hao:
An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data. IWQoS 2017: 1-6 - [c68]Gang Li, Zhifeng Hao, Hang Wei, Han Huang:
A Construction Graph-Based Evolutionary Algorithm for Traveling Salesman Problem. SEAL 2017: 656-667 - [i6]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao:
SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee. CoRR abs/1707.01283 (2017) - 2016
- [j50]Yushan Zhang, Han Huang, Zhifeng Hao, Guiwu Hu:
First hitting time analysis of continuous evolutionary algorithms based on average gain. Clust. Comput. 19(3): 1323-1332 (2016) - [j49]Zijie Chen, Zhifeng Hao:
A unified multi-label classification framework with supervised low-dimensional embedding. Neurocomputing 171: 1563-1575 (2016) - [j48]Yunzhi Jiang, Wei-Chang Yeh, Zhifeng Hao, Zhenlun Yang:
A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation. Inf. Sci. 369: 171-183 (2016) - [j47]Weiqi Chen, Zhifeng Hao, Ruichu Cai, Xiangzhou Zhang, Yong Hu, Mei Liu:
Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction. Soft Comput. 20(11): 4575-4588 (2016) - [j46]Yanshan Xiao, Bo Liu, Zhifeng Hao:
A Maximum Margin Approach for Semisupervised Ordinal Regression Clustering. IEEE Trans. Neural Networks Learn. Syst. 27(5): 1003-1019 (2016) - [c67]Bingfeng Chen, Zhifeng Hao, Ruichu Cai, Wen Wen, Shenzhi Du:
Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog. APWeb Workshops 2016: 29-41 - [c66]Hang Wei, Zhifeng Hao, Han Huang, Gang Li, Qinqun Chen:
A Real Adjacency Matrix-Coded Differential Evolution Algorithm for Traveling Salesman Problems. BIC-TA (2) 2016: 135-140 - [c65]Xiaoqi Peng, Zhifeng Hao, Han Huang, Hongyue Wu, Fangqing Liu:
Evolutionary Process: Parallelism Analysis of Differential Evolution Algorithm Based on Graph Theory. BIC-TA (2) 2016: 151-162 - [c64]Xueming Yan, Zhifeng Hao, Han Huang, Gang Li:
Human-computer cooperative brain storm optimization algorithm for the two-echelon vehicle routing problem. CEC 2016: 2676-2681 - [c63]Xueming Yan, Han Huang, Zhifeng Hao, Gang Li:
A human-machine cooperative approach for combinatorial optimization problem. ICMLC 2016: 838-843 - [c62]Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao:
Convex Optimization for Linear Query Processing under Approximate Differential Privacy. KDD 2016: 2005-2014 - [c61]Ruichu Cai, Zhenjie Zhang, Srinivasan Parthasarathy, Anthony K. H. Tung, Zhifeng Hao, Wen Zhang:
Multi-Domain Manifold Learning for Drug-Target Interaction Prediction. SDM 2016: 18-26 - [i5]Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao:
Optimal Linear Aggregate Query Processing under Approximate Differential Privacy. CoRR abs/1602.04302 (2016) - 2015
- [j45]Zhifeng Hao, Hao Zhang, Ruichu Cai, Wen Wen, Zhihao Li:
Causal discovery on high dimensional data. Appl. Intell. 42(3): 594-607 (2015) - [j44]Ruichu Cai, Zhifeng Hao, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Shuigeng Zhou:
Deterministic identification of specific individuals from GWAS results. Bioinform. 31(11): 1701-1707 (2015) - [j43]Lijuan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen:
Enhanced soft subspace clustering through hybrid dissimilarity. J. Intell. Fuzzy Syst. 29(4): 1395-1405 (2015) - [j42]Yanshan Xiao, Bo Liu, Philip S. Yu, Zhifeng Hao:
A robust one-class transfer learning method with uncertain data. Knowl. Inf. Syst. 44(2): 407-438 (2015) - [j41]Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao, Longbing Cao:
Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search. Soft Comput. 19(9): 2605-2617 (2015) - [j40]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. ACM Trans. Database Syst. 40(2): 11:1-11:47 (2015) - [j39]Zhifeng Hao, Li-Juan Wang, Ruichu Cai, Wen Wen:
An improved clustering ensemble method based link analysis. World Wide Web 18(2): 185-195 (2015) - [c60]Wen Wen, Zhifeng Hao, Ruichu Cai:
Mining the Discriminative Word Sets for Bag-of-Words Model Based on Distributional Similarity Graph. APWeb Workshops 2015: 54-70 - [c59]Zhifeng Hao, Yingchao Cheng, Ruichu Cai, Wen Wen, Lijuan Wang:
A Semi-supervised Solution for Cold Start Issue on Recommender Systems. APWeb 2015: 805-817 - [i4]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. CoRR abs/1502.07526 (2015) - 2014
- [j38]Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao:
A K-Farthest-Neighbor-based approach for support vector data description. Appl. Intell. 41(1): 196-211 (2014) - [j37]Zhifeng Hao, Ganzhao Yuan, Bernard Ghanem:
BILGO: Bilateral greedy optimization for large scale semidefinite programming. Neurocomputing 127: 247-257 (2014) - [j36]Ruichu Cai, Zhenjie Zhang, Anthony K. H. Tung, Chenyun Dai, Zhifeng Hao:
A general framework of hierarchical clustering and its applications. Inf. Sci. 272: 29-48 (2014) - [j35]Xiaolan Liu, Shaohua Pan, Zhifeng Hao, Zhiyong Lin:
Graph-based semi-supervised learning by mixed label propagation with a soft constraint. Inf. Sci. 277: 327-337 (2014) - [j34]Aimin Hou, Qingqi Zhong, Yurou Chen, Zhifeng Hao:
A Practical Graph Isomorphism Algorithm with Vertex Canonical Labeling. J. Comput. 9(10): 2467-2474 (2014) - [j33]Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao:
An efficient orientation distance-based discriminative feature extraction method for multi-classification. Knowl. Inf. Syst. 39(2): 409-433 (2014) - [j32]Han Huang, Weijia Lin, Zhiyong Lin, Zhifeng Hao, Andrew Lim:
An evolutionary algorithm based on constraint set partitioning for nurse rostering problems. Neural Comput. Appl. 25(3-4): 703-715 (2014) - [j31]Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao:
A Similarity-Based Classification Framework for Multiple-Instance Learning. IEEE Trans. Cybern. 44(4): 500-515 (2014) - [j30]Bo Liu, Yanshan Xiao, Philip S. Yu, Longbing Cao, Yun Zhang, Zhifeng Hao:
Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams. IEEE Trans. Knowl. Data Eng. 26(2): 468-484 (2014) - [j29]Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao:
An Efficient Approach for Outlier Detection with Imperfect Data Labels. IEEE Trans. Knowl. Data Eng. 26(7): 1602-1616 (2014) - [c58]Weiqi Chen, Kang Liu, Lijun Su, Mei Liu, Zhifeng Hao, Yong Hu, Xiangzhou Zhang:
Discovering Many-to-One Causality in Software Project Risk Analysis. 3PGCIC 2014: 316-323 - [c57]Yunzhi Jiang, Zhifeng Hao, Zhenlun Yang, Yinglong Wang, Huojiao He:
A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation. IEEE Congress on Evolutionary Computation 2014: 1579-1585 - [c56]Bokai Cao, Lifang He, Xiangnan Kong, Philip S. Yu, Zhifeng Hao, Ann B. Ragin:
Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases. ICDM 2014: 40-49 - [c55]Lifang He, Hong-Han Shuai, Xiangnan Kong, Zhifeng Hao, Xiaowei Yang, Philip S. Yu:
Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems. ICDM 2014: 839-844 - [c54]Zijie Chen, Zhifeng Hao:
Supervised low dimensional embedding for multi-label classification. ICMLC 2014: 193-199 - [c53]Zijie Chen, Zhifeng Hao:
Latent semantic KNN algorithm for multi-label learning. ICMLC 2014: 278-284 - [c52]Ruichu Cai, Chang Yuan, Zhifeng Hao, Wen Wen, Lijuan Wang, Weiqi Chen, Zhihao Li:
A Causal Model for Disease Pathway Discovery. ICONIP (1) 2014: 350-357 - [c51]Lifang He, Xiangnan Kong, Philip S. Yu, Xiaowei Yang, Ann B. Ragin, Zhifeng Hao:
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. SDM 2014: 127-135 - [i3]Lifang He, Xiangnan Kong, Philip S. Yu, Ann B. Ragin, Zhifeng Hao, Xiaowei Yang:
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. CoRR abs/1407.8289 (2014) - 2013
- [j28]Ruichu Cai, Zhifeng Hao, Wen Wen, Lijuan Wang:
Regularized Gaussian Mixture Model based discretization for gene expression data association mining. Appl. Intell. 39(3): 607-613 (2013) - [j27]Haixiang Yao, Yongzeng Lai, Zhifeng Hao:
Uncertain exit time multi-period mean-variance portfolio selection with endogenous liabilities and Markov jumps. Autom. 49(11): 3258-3269 (2013) - [j26]Ganzhao Yuan, Zhenjie Zhang, Bernard Ghanem, Zhifeng Hao:
Low-rank quadratic semidefinite programming. Neurocomputing 106: 51-60 (2013) - [j25]Sen Zhao, Zhifeng Hao, Han Huang, Yang Tan:
Multi-objective Differential Evolution Algorithm based on Adaptive Mutation and Partition Selection. J. Comput. 8(10): 2695-2700 (2013) - [j24]Bo Liu, Yanshan Xiao, Longbing Cao, Zhifeng Hao, Feiqi Deng:
SVDD-based outlier detection on uncertain data. Knowl. Inf. Syst. 34(3): 597-618 (2013) - [j23]Lifang He, Xiaowei Yang, Zhifeng Hao:
An adaptive class pairwise dimensionality reduction algorithm. Neural Comput. Appl. 23(2): 299-310 (2013) - [j22]Zhifeng Hao, Hongfei Wang, Ruichu Cai, Wen Wen:
Product named entity recognition for Chinese query questions based on a skip-chain CRF model. Neural Comput. Appl. 23(2): 371-379 (2013) - [j21]Zhifeng Hao, Ganzhao Yuan, Xiaowei Yang, Zijie Chen:
A primal method for multiple kernel learning. Neural Comput. Appl. 23(3-4): 975-987 (2013) - [j20]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao:
Causal gene identification using combinatorial V-structure search. Neural Networks 43: 63-71 (2013) - [j19]Zhifeng Hao, Lifang He, Bingqian Chen, Xiaowei Yang:
A Linear Support Higher-Order Tensor Machine for Classification. IEEE Trans. Image Process. 22(7): 2911-2920 (2013) - [c50]Zhifeng Hao, Jinlong Huang, Ruichu Cai, Wen Wen:
A Hybrid Approach for Large Scale Causality Discovery. ICIC (3) 2013: 1-6 - [c49]Zhifeng Hao, Jie Cheng, Ruichu Cai, Wen Wen, Lijuan Wang:
Chinese Sentiment Classification Based on the Sentiment Drop Point. ICIC (3) 2013: 55-60 - [c48]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao:
SADA: A General Framework to Support Robust Causation Discovery. ICML (2) 2013: 208-216 - [c47]Li-Juan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen:
An improved local adaptive clustering ensemble based on link analysis. ICMLC 2013: 10-15 - [c46]Bo Liu, Philip S. Yu, Yanshan Xiao, Zhifeng Hao:
One-Class Transfer Learning with Uncertain Data. PAKDD (1) 2013: 471-483 - [c45]Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu:
MODS: Multiple One-class Data Streams Learning from Homogeneous Data. SDM 2013: 722-730 - [c44]Longbing Cao, Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu:
Robust Textual Data Streams Mining Based on Continuous Transfer Learning. SDM 2013: 731-739 - 2012
- [j18]Yunzhi Jiang, Zhifeng Hao, Ganzhao Yuan, Zhenlun Yang:
Multilevel thresholding for image segmentation through Bayesian particle swarm optimisation. Int. J. Model. Identif. Control. 15(4): 267-276 (2012) - [j17]Yu Shan Zhang, Zhifeng Hao, Han Huang:
Convergence time analysis of ant system algorithm. Int. J. Model. Identif. Control. 15(4): 304-309 (2012) - [j16]Qianfeng Cai, Zhifeng Hao, Xiaowei Yang:
Gaussian kernel-based fuzzy inference systems for high dimensional regression. Neurocomputing 77(1): 197-204 (2012) - [j15]Han Huang, Hu Qin, Zhifeng Hao, Andrew Lim:
Example-based learning particle swarm optimization for continuous optimization. Inf. Sci. 182(1): 125-138 (2012) - [j14]Yingjun Wu, Han Huang, Zhifeng Hao, Feng Chen:
Local Community Detection Using Link Similarity. J. Comput. Sci. Technol. 27(6): 1261-1268 (2012) - [j13]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy. Proc. VLDB Endow. 5(11): 1352-1363 (2012) - [c43]Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao, Longbing Cao:
A novel auto-parameters selection process for image segmentation. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c42]Zhifeng Hao, Xin Zhang, Wen Wen, Ruichu Cai:
Word similarity-based Schema Matching and its application in Chinese mobile phone information integration. FSKD 2012: 1176-1180 - [c41]Hai Liu, Youhua Zhou, Xiaowen Chu, Yiu-Wing Leung, Zhifeng Hao:
Generalized-Bi-Connectivity for Fault Tolerant Cognitive Radio Networks. ICCCN 2012: 1-8 - [c40]Zhifeng Hao, Ai-Jing Wang, Han Huang:
A Memetic Algorithm Applied to Allocation Problem of the Concrete Mixing Plants. ICICA (2) 2012: 693-700 - [c39]Li-Juan Wang, Zhifeng Hao:
An improved link analysis based clustering ensemble method. ICMLC 2012: 47-51 - [c38]Wen Wen, Zhifeng Hao, Ruichu Cai, Zhuangfeng Shao:
Gaussian process learning for image classification based on low-level features. ICNC 2012: 237-241 - [c37]Zhifeng Hao, Jianming Liu, Xueming Yan, Wen Wen, Ruichu Cai:
Alpha Matting Using Artificial Immune Network. ICSI (1) 2012: 300-309 - [c36]Sen Zhao, Zhifeng Hao, Shusen Liu, Weidi Xu, Han Huang:
Multi-objective Evolutionary Algorithm Based on Layer Strategy. ICSI (1) 2012: 546-553 - [i2]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy. CoRR abs/1208.0094 (2012) - [i1]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Low Rank Mechanism for Optimizing Batch Queries under Differential Privacy. CoRR abs/1212.2309 (2012) - 2011
- [j12]Xiaolan Liu, Shenghan Liu, Zhifeng Hao, Holger Mauch:
Exact algorithm and heuristic for the Closest String Problem. Comput. Oper. Res. 38(11): 1513-1520 (2011) - [j11]Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Han Huang:
A new hybrid method for gene selection. Pattern Anal. Appl. 14(1): 1-8 (2011) - [j10]Ruichu Cai, Zhenjie Zhang, Zhifeng Hao:
BASSUM: A Bayesian semi-supervised method for classification feature selection. Pattern Recognit. 44(4): 811-820 (2011) - [j9]Ruichu Cai, Anthony K. H. Tung, Zhenjie Zhang, Zhifeng Hao:
What is Unequal among the Equals? Ranking Equivalent Rules from Gene Expression Data. IEEE Trans. Knowl. Data Eng. 23(11): 1735-1747 (2011) - [c35]Weiqi Chen, Zhifeng Hao, Hai-Lin Liu:
The 0/1 Multi-objective Knapsack Problem Based on Regional Search. CIS 2011: 149-153 - [c34]Zebin Zhang, Zhifeng Hao, Han Huang:
Hybrid Swarm-Based Optimization Algorithm of GA & VNS for Nurse Scheduling Problem. ICICA (LNCS) 2011: 375-382 - [c33]Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang, Zhifeng Hao:
Similarity-Based Approach for Positive and Unlabeled Learning. IJCAI 2011: 1577-1582 - 2010
- [j8]Yanshan Xiao, Bo Liu, Dan Luo, Longbing Cao, Feiqi Deng, Zhifeng Hao:
Multi-agent system for customer relationship management with SVMs tool. Int. J. Intell. Inf. Database Syst. 4(2): 121-136 (2010) - [j7]Ruichu Cai, Zhifeng Hao, Wen Wen, Han Huang:
Kernel based gene expression pattern discovery and its application on cancer classification. Neurocomputing 73(13-15): 2562-2570 (2010) - [j6]Wen Wen, Zhifeng Hao, Xiaowei Yang:
Robust least squares support vector machine based on recursive outlier elimination. Soft Comput. 14(11): 1241-1251 (2010) - [c32]Xue-Qiang Li, Zhifeng Hao, Han Huang:
An evolutionary algorithm with sorted race mechanism for global optimization. ICMLC 2010: 1550-1555 - [c31]Zhifeng Hao, Han Huang, Haozhe Li, Shaohu Ling, Benqing Li:
A Relation-Based Model for Convergence Analysis of Evolutionary Algorithm. SEMCCO 2010: 190-197 - [c30]Han Huang, Zhifeng Hao, Zhaoquan Cai, Yifan Zhu:
Runtime Analysis of Evolutionary Programming Based on Cauchy Mutation. SEMCCO 2010: 222-229 - [c29]Xue-Qiang Li, Zhifeng Hao, Han Huang:
An Intelligence Model with Max-Min Strategy for Constrained Evolutionary Optimization. SEMCCO 2010: 262-269 - [c28]Yu Shan Zhang, Zhifeng Hao:
Runtime Analysis of (1+1) Evolutionary Algorithm for a TSP Instance. SEMCCO 2010: 296-304 - [c27]Zhaoquan Cai, Han Huang, Zhifeng Hao, Xueqiang Li:
Evolutionary Programming Improved by an Individual Random Difference Mutation. SEMCCO 2010: 338-343
2000 – 2009
- 2009
- [j5]Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Wen Wen:
An efficient gene selection algorithm based on mutual information. Neurocomputing 72(4-6): 991-999 (2009) - [j4]Han Huang, Chunguo Wu, Zhifeng Hao:
A Pheromone-Rate-Based Analysis on the Convergence Time of ACO Algorithm. IEEE Trans. Syst. Man Cybern. Part B 39(4): 910-923 (2009) - [c26]