default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZhifeng Hao 0004
Person information
- affiliation: Guangdong University of Technology, Guangzhou, Guangdong, China
Other persons with the same name
- Zhifeng Hao — disambiguation page
- Zhifeng Hao 0001
![[0000-0002-9257-2895]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-9257-2895")
— Shantou University, Shantou, Guangdong, China - Zhifeng Hao 0002 — Shantou University, Shantou, Guangdong, China
- Zhifeng Hao 0003 — University of Jinan, Jinan, Shandong, China
- Zhifeng Hao 0005 — University of Shantou, Shantou, Guangdong, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
showing all ?? records
2020 – today
- 2026
[j76]Qingwen Lin, Boyan Xu, Guimin Hu, Zijian Li, Zhifeng Hao, Keli Zhang, Ruichu Cai:
CMCTS: A Constrained Monte Carlo Tree Search framework for mathematical reasoning in large language model. Appl. Intell. 56(1): 13 (2026)- [j75]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. Sci. China Inf. Sci. 69(2) (2026) - [j74]Yinghan Hong, Sirui Liang, Jiahao Lian, Guizhen Mai, Liang Zhao, Yueting Xu, Yi Xiang, Hao Zhang, Fangqing Liu, Zhifeng Hao:
Evolutionary constrained optimization based on causal random forest. Expert Syst. Appl. 312: 131417 (2026) - [j73]Lingfeng Wang, Wensheng Gan, Zhidong Lin, Zhenlian Qi, Jian Zhu, Ruichu Cai, Zhifeng Hao:
Targeted mining of non-overlapping high-utility sequential patterns. Inf. Sci. 755: 123770 (2026) - [j72]Ruichu Cai, Yaqi Dai, Peilin Zhan, Wei Chen, Zhifeng Hao:
Vc-flow: causal direction identification with latent variables. Int. J. Mach. Learn. Cybern. 17(4): 174 (2026) - [j71]Fangqing Liu, Han Huang, Fujian Feng, Xueming Yan, Zhifeng Hao:
Positive Data Augmentation Based on Manifold Heuristic Optimization for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 48(6): 6071-6088 (2026) - [j70]Canmiao Zhou, Zifeng Li, Han Huang, Yi Xiang, Fangqing Liu, Zhifeng Hao:
Enhanced Architecture of Structure Semantics for Syntax-Aware Code Generation. Softw. Pract. Exp. 56(1): 80-95 (2026) - [j69]Yali Feng, Zhifeng Hao, Wen Wen, Ruichu Cai:
Temporal Recommendation Based on Adaptive Deep Matrix Factorization. IEEE Trans. Big Data 12(1): 288-300 (2026) - [j68]Li Kang, Han Huang, Yihui Liang, Zeyang Liu, Zhifeng Hao:
Microscale-Searching Evolutionary Optimization for Image Matting. IEEE Trans. Emerg. Top. Comput. Intell. 10(2): 1726-1737 (2026) - [j67]Wei Chen, Linjun Peng, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang:
Higher Order Cumulants-Based Method for Direct and Efficient Causal Discovery. IEEE Trans. Neural Networks Learn. Syst. 37(4): 1546-1559 (2026) - [c53]Wei Chen, Wanyang Gu, Linjun Peng, Ting Yan, Ruichu Cai, Zhifeng Hao, Kun Zhang:
Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants. AAAI 2026: 20280-20288 - 2025
- [j66]Liang Chen, Heng Zheng, Wenyue Wei, Haoran Pan, Weipeng Nie, Zhifeng Hao, Zhidan Zhao:
Exploring Temporal Asymmetry in Human Behavior in Social Media Platforms. Entropy 28(1): 27 (2025) - [j65]Ruichu Cai, Xiaokai Huang, Wei Chen, Zijian Li, Zhifeng Hao:
Temporal latent variable structural causal model for causal discovery under external interferences. Neurocomputing 640: 130281 (2025) - [j64]Yuequn Liu, Guangdong Sun, Ruichu Cai, Zijian Li, Keli Zhang, Lujia Pan, Zhifeng Hao:
StateHPs: State Hawkes processes for Granger causal discovery from non-stationary event sequences. Inf. Sci. 718: 122422 (2025) - [j63]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. Neural Networks 184: 107044 (2025) - [j62]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. Neural Networks 184: 107065 (2025) - [j61]Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang:
Identifying Semantic Component for Robust Molecular Property Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 47(12): 11614-11631 (2025) - [j60]Zhifeng Hao, Jianming Zhan, Yuan Fang, Min Wu, Ruichu Cai:
GNNSynergy: A Multi-View Graph Neural Network for Predicting Anti-Cancer Drug Synergy. IEEE Trans. Comput. Biol. Bioinform. 22(1): 333-342 (2025) - [j59]Xiaopeng Yang, Zhifeng Hao, Qianyu Shu:
Stability of the Solution in P2P Network System Based on Two-Sided Fuzzy Relation Inequality. IEEE Trans. Fuzzy Syst. 33(8): 2526-2538 (2025) - [j58]Qitong Liu, Hao Peng, Xiang Huang, Zhifeng Hao, Qingyun Sun, Zhengtao Yu, Philip S. Yu:
Hierarchical Text Classification Optimization via Structural Entropy and Singular Smoothing. IEEE Trans. Knowl. Data Eng. 37(9): 5283-5297 (2025) - [j57]Yuan Fang, Geping Yang, Ruichu Cai, Yiyang Yang, Zhiguo Gong, Can Chen, Zhifeng Hao:
MSC-DOLES: Multi-View Subspace Clustering in Diverse Orthogonal Latent Embedding Spaces. IEEE Trans. Knowl. Data Eng. 37(12): 7315-7327 (2025) - [j56]Sentao Chen, Ping Xuan, Zhifeng Hao:
Joint Distribution Weighted Alignment for Multi-Source Domain Adaptation via Kernel Relative Entropy Estimation. IEEE Trans. Multim. 27: 6606-6619 (2025) - [j55]Zhengming Chen, Jie Qiao, Feng Xie, Ruichu Cai, Zhifeng Hao, Keli Zhang:
Testing Conditional Independence Between Latent Variables by Independence Residuals. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4586-4598 (2025) - [j54]Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao:
A Survey on Causal Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 36(4): 5942-5962 (2025) - [j53]Geping Yang, Shusen Yang, Yiyang Yang, Xiang Chen, Can Chen, Zhiguo Gong, Zhifeng Hao:
SPGMVC: Multiview Clustering via Partitioning the Signed Prototype Graph. IEEE Trans. Neural Networks Learn. Syst. 36(5): 8036-8048 (2025) - [j52]Xueming Yan, Han Huang, Yaochu Jin, Zilong Wang, Zhifeng Hao:
Neural Architecture Search Based on Bipartite Graphs for Text Classification. IEEE Trans. Neural Networks Learn. Syst. 36(6): 10749-10763 (2025) - [j51]Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He:
Variational Graph Generator for Multiview Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 36(6): 11078-11091 (2025) - [c52]Ruichu Cai, Haiqin Huang, Zhifan Jiang, Zijian Li, Changze Zhou, Yuequn Liu, Yuming Liu, Zhifeng Hao:
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting. AAAI 2025: 15641-15649 - [c51]Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu:
Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. CIKM 2025: 2326-2335 - [c50]Ruichu Cai, Ying Shen, Zhengming Chen, Feng Xie, Yu Xiang, Zhifeng Hao:
Rank Constraints of High-Order Cumulants for Learning Linear Non-Gaussian Latent Polytree. CSCWD 2025: 1473-1479 - [c49]Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu:
Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation. EMNLP 2025: 596-608 - [c48]Zhengming Chen, Yewei Xia, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai, Kun Zhang:
Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations. ICML 2025 - [c47]Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu, Zhifeng Hao:
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism. IJCAI 2025: 4779-4787 - [c46]Hongbin Zhang, Kezhou Chen, Nankai Lin, Aimin Yang, Zhifeng Hao, Zhengming Chen:
Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning. IJCAI 2025: 9112-9120 - [c45]Ruichu Cai, Fuyi Lin, Wei Chen, Jie Qiao, Haipeng Zhu, Zhifeng Hao:
Mitigating Q-Value Overestimation through Latent Causal Modeling in Deep Reinforcement Learning. IJCNN 2025: 1-8 - [c44]Yuan Fang, Xiaofeng Feng, Geping Yang, Ruichu Cai, Yiyang Yang, Zhiguo Gong, Zhifeng Hao:
EVA-MVC: Equitable View-weight Allocation for Generic Multi-View Clustering. WWW 2025: 2992-3003 - [c43]Ruichu Cai, Zhifan Jiang, Kaitao Zheng, Zijian Li, Weilin Chen, Xuexin Chen, Yifan Shen, Guangyi Chen, Zhifeng Hao, Kun Zhang:
Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. WWW 2025: 3247-3266 - [i45]Qingwen Lin, Boyan Xu, Zijian Li, Zhifeng Hao, Keli Zhang, Ruichu Cai:
Leveraging Constrained Monte Carlo Tree Search to Generate Reliable Long Chain-of-Thought for Mathematical Reasoning. CoRR abs/2502.11169 (2025) - [i44]Ruichu Cai, Haiqin Huang, Zhifang Jiang, Zijian Li, Changze Zhou, Yuequn Liu, Yuming Liu, Zhifeng Hao:
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting. CoRR abs/2502.12603 (2025) - [i43]Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, José Miguel Hernández-Lobato:
Long-term Causal Inference via Modeling Sequential Latent Confounding. CoRR abs/2502.18994 (2025) - [i42]Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu, Zhifeng Hao:
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism. CoRR abs/2505.07180 (2025) - [i41]Libo Huang, Zhulin An, Chuanguang Yang, Boyu Diao, Fei Wang, Yan Zeng, Zhifeng Hao, Yong-Jun Xu:
PrePrompt: Predictive prompting for class incremental learning. CoRR abs/2505.08586 (2025) - [i40]Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao, Keli Zhang, Junjian Ye, Ruichu Cai:
Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting. CoRR abs/2505.24710 (2025) - [i39]Weilin Chen, Wanyang Gu, Linjun Peng, Ruichu Cai, Zhifeng Hao, Kun Zhang:
Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants. CoRR abs/2507.06888 (2025) - [i38]Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu:
Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. CoRR abs/2508.05023 (2025) - [i37]Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu:
Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation. CoRR abs/2508.19533 (2025) - [i36]Jian Zhu, Zhidong Lin, Wensheng Gan, Ruichu Cai, Zhifeng Hao, Philip S. Yu:
Efficient Mining of Low-Utility Sequential Patterns. CoRR abs/2510.10243 (2025) - [i35]Wei Chen, Linjun Peng, Zhiyi Huang, Haoyue Dai, Zhifeng Hao, Ruichu Cai, Kun Zhang:
Identification of Causal Direction under an Arbitrary Number of Latent Confounders. CoRR abs/2510.22711 (2025) - [i34]Ruichu Cai, Xiaokai Huang, Wei Chen, Zijian Li, Zhifeng Hao:
Temporal Latent Variable Structural Causal Model for Causal Discovery under External Interferences. CoRR abs/2511.10031 (2025) - 2024
- [j50]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) - [j49]Stuart D. Semujju, Fangqing Liu, Han Huang, Yi Xiang, Xueming Yan, Zhifeng Hao:
Knowledge transfer based many-objective approach for finding bugs in multi-path loops. Complex Intell. Syst. 10(3): 3235-3258 (2024) - [j48]Zhifeng Hao, Yaochu Jin, Xueming Yan, Chuyue Wang, Shangshang Yang, Hong Ge:
Cross-modal hashing retrieval with compatible triplet representation. Neurocomputing 602: 128293 (2024) - [j47]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) - [j46]Ruichu Cai, Ruming Lu, Wei Chen, Zhifeng Hao:
Counterfactual contextual bandit for recommendation under delayed feedback. Neural Comput. Appl. 36(23): 14599-14613 (2024) - [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]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) - [j37]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) - [c42]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 - [c41]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 - [c40]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 - [c39]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 - [c38]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 - [c37]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 - [c36]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: 6457-6485 - [c35]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: 6486-6502 - [c34]Wei Chen, Xiaokai Huang, Zijian Li, Ruichu Cai, Zhiyi Huang, Zhifeng Hao:
Individual Causal Structure Learning from Population Data. IJCAI 2024: 7109-7117 - [c33]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. NeurIPS 2024 - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]Zijian Li, Ruichu Cai, Haiqin Huang, Sili Zhang, Yuguang Yan, Zhifeng Hao, Zhenghua Dong:
Debiased Model-based Interactive Recommendation. CoRR abs/2402.15819 (2024) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - 2023
- [j36]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) - [j35]Xueming Yan, Yaochu Jin, Xiaohua Ke, Zhifeng Hao:
Multi-task evolutionary optimization of multi-echelon location routing problems via a hierarchical fuzzy graph. Complex Intell. Syst. 9(6): 6845-6862 (2023) - [j34]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) - [j33]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) - [j32]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) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]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) - [c32]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 - [c31]Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang:
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. ICML 2023: 3380-3407 - [c30]Zhifeng Hao, Haipeng Zhu, Wei Chen, Ruichu Cai:
Latent Causal Dynamics Model for Model-Based Reinforcement Learning. ICONIP (2) 2023: 219-230 - [c29]Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai:
Some General Identification Results for Linear Latent Hierarchical Causal Structure. IJCAI 2023: 3568-3576 - [c28]Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang:
Subspace Identification for Multi-Source Domain Adaptation. NeurIPS 2023 - [i22]Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao:
A Survey on Causal Reinforcement Learning. CoRR abs/2302.05209 (2023) - [i21]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) - [i20]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) - [i19]Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang:
Subspace Identification for Multi-Source Domain Adaptation. CoRR abs/2310.04723 (2023) - [i18]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) - [i17]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) - [i16]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) - [i15]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
- [j26]Wei Chen, Jibin Chen, Ruichu Cai, Yuequn Liu, Zhifeng Hao:
Learning granger causality for non-stationary Hawkes processes. Neurocomputing 468: 22-32 (2022) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [c27]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 - [c26]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 - [c25]Geping Yang, Hongzhang Lv, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao:
FastDEC: Clustering by Fast Dominance Estimation. ECML/PKDD (1) 2022: 138-156 - [i14]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) - [i13]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
- [j21]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) - [j20]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) - [j19]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) - [j18]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) - [j17]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) - [j16]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) - [j15]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) - [c24]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 - [c23]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 - [c22]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 - [c21]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 - [i12]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) - [i11]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) - [i10]Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao:
Motif Graph Neural Network. CoRR abs/2112.14900 (2021) - 2020
- [j14]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) - [j13]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) - [j12]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) - [j11]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) - [c20]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 - [c19]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 - [c18]Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang:
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs. NeurIPS 2020 - [i9]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) - [i8]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) - [i7]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) - [i6]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
- [j10]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) - [j9]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) - [j8]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) - [c17]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 - [c16]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Model. IJCAI 2019: 1609-1615 - [c15]Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. IJCAI 2019: 2060-2066 - [c14]Feng Xie, Ruichu Cai, Yan Zeng, Zhifeng Hao:
Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples. IScIDE (2) 2019: 381-393 - [c13]Ruichu Cai, Feng Xie, Clark Glymour, Zhifeng Hao, Kun Zhang:
Triad Constraints for Learning Causal Structure of Latent Variables. NeurIPS 2019: 12863-12872 - [i5]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Models. CoRR abs/1905.09442 (2019) - 2018
- [j7]Gang Li, Zhifeng Hao, Han Huang, Hang Wei:
Maximizing Algebraic Connectivity via Minimum Degree and Maximum Distance. IEEE Access 6: 41249-41255 (2018) - [j6]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) - [c12]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 - [c11]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery from Discrete Data using Hidden Compact Representation. NeurIPS 2018: 2671-2679 - 2017
- [j5]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) - [j4]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) - [c10]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 - [c9]Gang Li, Zhifeng Hao, Hang Wei, Han Huang:
A Construction Graph-Based Evolutionary Algorithm for Traveling Salesman Problem. SEAL 2017: 656-667 - 2016
- [c8]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 - [c7]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 - [c6]Xueming Yan, Han Huang, Zhifeng Hao, Gang Li:
A human-machine cooperative approach for combinatorial optimization problem. ICMLC 2016: 838-843 - [c5]Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao:
Convex Optimization for Linear Query Processing under Approximate Differential Privacy. KDD 2016: 2005-2014 - [i4]Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao:
Optimal Linear Aggregate Query Processing under Approximate Differential Privacy. CoRR abs/1602.04302 (2016) - 2015
- [j3]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) - [j2]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) - [i3]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) - 2012
- [j1]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) - [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) - 2010
- [c4]Xue-Qiang Li, Zhifeng Hao, Han Huang:
An evolutionary algorithm with sorted race mechanism for global optimization. ICMLC 2010: 1550-1555 - [c3]Han Huang, Zhifeng Hao, Zhaoquan Cai, Yifan Zhu:
Runtime Analysis of Evolutionary Programming Based on Cauchy Mutation. SEMCCO 2010: 222-229 - [c2]Xue-Qiang Li, Zhifeng Hao, Han Huang:
An Intelligence Model with Max-Min Strategy for Constrained Evolutionary Optimization. SEMCCO 2010: 262-269 - [c1]Zhaoquan Cai, Han Huang, Zhifeng Hao, Xueqiang Li:
Evolutionary Programming Improved by an Individual Random Difference Mutation. SEMCCO 2010: 338-343
Coauthor Index
[j76] [j75] [j73] [j72] [j69] [j67] [c53] [j65] [j64] [j63] [j62] [j61] [j60] [j57] [j55] [j54] [c52] [c50] [c48] [c47] [c45] [c44] [c43] [i45] [i44] [i43] [i42] [i40] [i39] [i36] [i35] [i34] [j50] [j46] [j45] [j37] [c42] [c41] [c40] [c39] [c38] [c36] [c35] [c34] [c33] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [j36] [j27] [c31] [c30] [c29] [c28] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [j26] [j25] [j22] [c27] [i13] [j18] [j17] [j16] [j15] [c22] [c21] [i12] [i11] [i10] [j14] [j13] [j11] [c19] [c18] [i9] [i8] [i7] [i6] [j10] [c16] [c15] [c14] [c13] [i5] [j6] [c12] [c11] [j4] [c10] [j3]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-07-19 01:55 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated, funded, and maintained by:
Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.
