Zhifeng Hao

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 248

Top Venues

Publications

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) (2024)
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)
Zhifeng Hao, Yaochu Jin, Xueming Yan, Chuyue Wang, Shangshang Yang, Hong Ge
Cross-modal hashing retrieval with compatible triplet representation. Neurocomputing 602 (2024)
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)
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)
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 (2024)
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)
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)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu
Multi-Relational Structural Entropy. CoRR (2024)
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) (2024)
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 (2024)
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) (2024)
Bingfeng Chen, Qihan Ouyang, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao
GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis. CoRR (2024)
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)
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)
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 (2024)
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 (2024)
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) (2024)
Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. AAAI (2024)
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)
Yanshan Xiao, Guitao Pan, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao
Privileged multi-view one-class support vector machine. Neurocomputing 572 (2024)
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 (2024)
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 (2024)
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 (2024)
Hao Peng, Jingyun Zhang, Xiang Huang, Zhifeng Hao, Angsheng Li, Zhengtao Yu, Philip S. Yu
Unsupervised Social Bot Detection via Structural Information Theory. CoRR (2024)
Sucheng Deng, Geping Yang, Yiyang Yang, Zhiguo Gong, Can Chen, Xiang Chen, Zhifeng Hao
Module-based graph pooling for graph classification. Pattern Recognit. 154 (2024)
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) (2024)
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)
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)
Zijian Li, Ruichu Cai, Haiqin Huang, Sili Zhang, Yuguang Yan, Zhifeng Hao, Zhenghua Dong
Debiased Model-based Interactive Recommendation. CoRR (2024)
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 (2024)
Wen Wen, Shiyuan Wu, Ruichu Cai, Zhifeng Hao
Cross-KG Link Prediction by Learning Substructural Semantics. Neural Process. Lett. 56 (1) (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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)
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) (2024)
Ruichu Cai, Ruming Lu, Wei Chen, Zhifeng Hao
Counterfactual contextual bandit for recommendation under delayed feedback. Neural Comput. Appl. 36 (23) (2024)
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 (2024)
Xiaopeng Yang, Zhifeng Hao, Jianjun Qiu, Qianyu Shu
Variable-Absent Fuzzy Relation Inequality With Max-Min Composition. IEEE Trans. Fuzzy Syst. 32 (3) (2024)
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 (2024)
Ruichu Cai, Liting Huang, Wei Chen, Jie Qiao, Zhifeng Hao
Learning dynamic causal mechanisms from non-stationary data. Appl. Intell. 53 (5) (2023)
Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao
Generalization Bound for Estimating Causal Effects from Observational Network Data. CIKM (2023)
Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. ICML (2023)
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 (2023)
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)
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) (2023)
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 (2023)
Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. CoRR (2023)
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 (2023)
Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao
A Survey on Causal Reinforcement Learning. CoRR (2023)
Yanshan Xiao, Liangwang Zhang, Bo Liu, Ruichu Cai, Zhifeng Hao
Multi-task ordinal regression with labeled and unlabeled data. Inf. Sci. 649 (2023)
Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang
Subspace Identification for Multi-Source Domain Adaptation. CoRR (2023)
Dan Wang, Fangqi Chen, Zhifeng Hao, Marian Wiercigroch
Nonlinear energy harvesting from rotating system. Commun. Nonlinear Sci. Numer. Simul. 127 (2023)
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) (2023)
Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao
Generalization bound for estimating causal effects from observational network data. CoRR (2023)
Zhifeng Hao, Junbin Chen, Wen Wen, Biao Wu, Ruichu Cai
A selection-pattern-aware recommendation model with colored-motif attention network. Neurocomputing 538 (2023)
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) (2023)
Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. CoRR (2023)
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) (2023)
Zhifeng Hao, Haipeng Zhu, Wei Chen, Ruichu Cai
Latent Causal Dynamics Model for Model-Based Reinforcement Learning. ICONIP (2) (2023)
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 (2023)
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) (2023)
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 (2023)
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)
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 (2023)
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)
Wen Wen, Wencui Wang, Zhifeng Hao, Ruichu Cai
Factorizing time-heterogeneous Markov transition for temporal recommendation. Neural Networks 159 (2023)
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)
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) (2023)
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) (2023)
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 (2023)
Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang
Subspace Identification for Multi-Source Domain Adaptation. NeurIPS (2023)
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) (2023)
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 (2023)
Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai
Some General Identification Results for Linear Latent Hierarchical Causal Structure. IJCAI (2023)
Zhenqian Wu, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Lifang He
Generative Neutral Features-Disentangled Learning for Facial Expression Recognition. ACM Multimedia (2023)
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 (2023)
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 (2023)
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)
Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai
Identification of Linear Latent Variable Model with Arbitrary Distribution. AAAI (2022)
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 (2022)
Wei Chen, Jibin Chen, Ruichu Cai, Yuequn Liu, Zhifeng Hao
Learning granger causality for non-stationary Hawkes processes. Neurocomputing 468 (2022)
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) (2022)
Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao
Causal discovery from multi-domain data using the independence of modularities. Neural Comput. Appl. 34 (3) (2022)
Geping Yang, Hongzhang Lv, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao
FastDEC: Clustering by Fast Dominance Estimation. ECML/PKDD (1) (2022)
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) (2022)
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 (2022)
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 (2022)
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) (2022)
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 (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhifeng Hao