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Zhifeng Hao
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2020 – today
- 2024
- [j176]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) - [j175]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) - [j174]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) - [j173]Yanshan Xiao, Guitao Pan, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
Privileged multi-view one-class support vector machine. Neurocomputing 572: 127186 (2024) - [j172]Zhifeng Hao, Yaochu Jin, Xueming Yan, Chuyue Wang, Shangshang Yang, Hong Ge:
Cross-modal hashing retrieval with compatible triplet representation. Neurocomputing 602: 128293 (2024) - [j171]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) - [j170]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) - [j169]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) - [j168]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) - [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) - [c128]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 - [c127]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 - [c126]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 - [c125]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 - [c124]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 - [c123]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 - [c122]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 - [c121]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 - [c120]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 - [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]