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Haifeng Chen
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2020 – today
- 2022
- [j42]Haibo Liang, Haifeng Chen, Jinhong Guo, Jing Bai, Yingjun Jiang:
Research on lithology identification method based on mechanical specific energy principle and machine learning theory. Expert Syst. Appl. 189: 116142 (2022) - [j41]Haibo Liang
, Haifeng Chen
, Jinhong Guo
, Xing Zuo
:
Detection and Identification Method of Drilling Total Hydrocarbon Gas Based on Infrared Spectroscopy and KL+BP-RBF Algorithm. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j40]Yuening Li, Zhengzhang Chen
, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2365-2377 (2022) - [c133]Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen:
Seed: Sound Event Early Detection Via Evidential Uncertainty. ICASSP 2022: 3618-3622 - [i30]Jurijs Nazarovs, Cristian Lumezanu, Qianying Ren, Yuncong Chen, Takehiko Mizoguchi, Dongjin Song, Haifeng Chen:
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series. CoRR abs/2201.09907 (2022) - [i29]Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen:
SEED: Sound Event Early Detection via Evidential Uncertainty. CoRR abs/2202.02441 (2022) - [i28]Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo:
Deep Federated Anomaly Detection for Multivariate Time Series Data. CoRR abs/2205.04041 (2022) - 2021
- [j39]Ziquan Jiao
, Zhiqiang Feng
, Shanben Chen
, Haifeng Chen
, Jianxing Yu
:
An Approximate Inference Scheme Based on Distance-Induced Relations: Weld Forming Prediction. IEEE Access 9: 62820-62836 (2021) - [j38]Yong Chen
, Yuquan Zhu
, Haifeng Chen
, Yan Shen, Zhao Xu
:
A Pruning Optimized Fast Learn++NSE Algorithm. IEEE Access 9: 150733-150743 (2021) - [j37]Boxiang Dong
, Zhengzhang Chen
, Lu-An Tang, Haifeng Chen
, Hui Wang, Kai Zhang
, Ying Lin, Zhichun Li:
Anomalous Event Sequence Detection. IEEE Intell. Syst. 36(3): 5-13 (2021) - [j36]Haibo Liang, Haifeng Chen, Jialing Zou, Jing Bai:
Technical research on realizing remote intelligent diagnosis of petroleum drilling loss circulation under smart city strategy. Future Gener. Comput. Syst. 125: 91-99 (2021) - [j35]Haifeng Chen
, Dongmei Jiang
, Hichem Sahli
:
Transformer Encoder With Multi-Modal Multi-Head Attention for Continuous Affect Recognition. IEEE Trans. Multim. 23: 4171-4183 (2021) - [j34]Chuxu Zhang, Huaxiu Yao, Lu Yu, Chao Huang
, Dongjin Song, Haifeng Chen, Meng Jiang, Nitesh V. Chawla
:
Inductive Contextual Relation Learning for Personalization. ACM Trans. Inf. Syst. 39(3): 35:1-35:22 (2021) - [c132]Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson:
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI 2021: 651-659 - [c131]Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang:
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. AAAI 2021: 4546-4554 - [c130]Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang:
Multi-Task Recurrent Modular Networks. AAAI 2021: 10496-10504 - [c129]Jingchao Ni, Zhengzhang Chen
, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen:
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM 2021: 1366-1375 - [c128]Lei Cai, Zhengzhang Chen
, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen:
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. CIKM 2021: 3747-3756 - [c127]Zeyu Li, Wei Cheng, Haiqi Xiao, Wenchao Yu, Haifeng Chen, Wei Wang:
You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation. CIKM 2021: 3945-3954 - [c126]Yue Li, Zhenyu Wu, Haining Wang, Kun Sun, Zhichun Li, Kangkook Jee, Junghwan Rhee, Haifeng Chen:
UTrack: Enterprise User Tracking Based on OS-Level Audit Logs. CODASPY 2021: 161-172 - [c125]Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. CVPR 2021: 13254-13263 - [c124]Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang:
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction. EMNLP (Findings) 2021: 763-778 - [c123]Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi:
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. EMNLP (1) 2021: 6716-6723 - [c122]Xiaojuan Yan, Kang An, Dan Li, Hongxia Xi, Yuli Wang, Xin Li, Haifeng Chen:
Delay-Limited Performance Analysis of NOMA-enabled Satellite Internet of Things. ICCC 2021: 219-223 - [c121]Yuening Li, Zhengzhang Chen
, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
AutoOD: Neural Architecture Search for Outlier Detection. ICDE 2021: 2117-2122 - [c120]Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu:
Aspect-based Sentiment Classification via Reinforcement Learning. ICDM 2021: 1391-1396 - [c119]Haifeng Chen, Yifan Deng, Dongmei Jiang:
Temporal Attentive Adversarial Domain Adaption for Cross Cultural Affect Recognition. ICMI Companion 2021: 97-103 - [c118]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen:
Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. KDD 2021: 2145-2153 - [c117]Zhiwei Wang, Zhengzhang Chen
, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang:
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. KDD 2021: 3726-3734 - [c116]Xinyang Feng
, Dongjin Song, Yuncong Chen, Zhengzhang Chen
, Jingchao Ni, Haifeng Chen:
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. ACM Multimedia 2021: 5546-5554 - [c115]Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen:
Unsupervised Concept Representation Learning for Length-Varying Text Similarity. NAACL-HLT 2021: 5611-5620 - [c114]Cuiwen Hu, Haifeng Chen, Deyun Mo, Haishan Lian, Yinhuan Yang, Xiaojun Chen:
Direct-write 3D printed self-supporting flexible microstructure devices. NEMS 2021: 319-323 - [c113]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang:
InfoGCL: Information-Aware Graph Contrastive Learning. NeurIPS 2021: 30414-30425 - [c112]Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang:
Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. SDM 2021: 91-99 - [c111]Xueyuan Han, Xiao Yu, Thomas F. J.-M. Pasquier, Ding Li, Junghwan Rhee, James W. Mickens, Margo I. Seltzer, Haifeng Chen:
SIGL: Securing Software Installations Through Deep Graph Learning. USENIX Security Symposium 2021: 2345-2362 - [c110]Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang:
Learning to Drop: Robust Graph Neural Network via Topological Denoising. WSDM 2021: 779-787 - [i27]Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson:
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR abs/2103.02164 (2021) - [i26]Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang:
Unsupervised Document Embedding via Contrastive Augmentation. CoRR abs/2103.14542 (2021) - [i25]Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. CoRR abs/2104.04107 (2021) - [i24]Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu:
Learning Disentangled Representations for Time Series. CoRR abs/2105.08179 (2021) - [i23]Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen:
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. CoRR abs/2107.13720 (2021) - [i22]Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi:
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. CoRR abs/2109.00194 (2021) - [i21]Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang:
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction. CoRR abs/2109.03821 (2021) - [i20]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang:
InfoGCL: Information-Aware Graph Contrastive Learning. CoRR abs/2110.15438 (2021) - [i19]Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi:
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. CoRR abs/2112.00503 (2021) - [i18]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen:
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment. CoRR abs/2112.03024 (2021) - [i17]Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao:
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? CoRR abs/2112.12356 (2021) - 2020
- [j33]Chong Xin
, Xin Chen, Haifeng Chen
, Shuangrui Chen
, Meiqi Zhang
:
Green Product Supply Chain Coordination Under Demand Uncertainty. IEEE Access 8: 25877-25891 (2020) - [j32]Jiayi Tian
, Haifeng Chen
, Xuancen Liu
, Huabo Yang
, Shifeng Zhang
:
Integrated Strapdown Missile Guidance and Control With Field-of-View Constraint and Actuator Saturation. IEEE Access 8: 123623-123638 (2020) - [j31]Jiajing Xie, Yang Xu, Haifeng Chen, Meirong Chi, Jun He, Meifeng Li, Hui Liu, Jie Xia, Qingzhou Guan
, Zheng Guo, Haidan Yan:
Identification of population-level differentially expressed genes in one-phenotype data. Bioinform. 36(15): 4283-4290 (2020) - [c109]Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang:
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. AAAI 2020: 1395-1402 - [c108]Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen:
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. AAAI 2020: 1403-1411 - [c107]Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo:
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. AAAI 2020: 7667-7674 - [c106]Kyungtae Kim, Chung Hwan Kim
, Junghwan John Rhee, Xiao Yu, Haifeng Chen, Dave (Jing) Tian, Byoungyoung Lee:
Vessels: efficient and scalable deep learning prediction on trusted processors. SoCC 2020: 462-476 - [c105]Bin Nie, Jianwu Xu, Jacob Alter, Haifeng Chen, Evgenia Smirni:
Mining Multivariate Discrete Event Sequences for Knowledge Discovery and Anomaly Detection. DSN 2020: 552-563 - [c104]Jiaping Gui, Ding Li, Zhengzhang Chen
, Junghwan Rhee, Xusheng Xiao, Mu Zhang, Kangkook Jee, Zhichun Li, Haifeng Chen:
APTrace: A Responsive System for Agile Enterprise Level Causality Analysis. ICDE 2020: 1701-1712 - [c103]Peng Gao, Xusheng Xiao
, Ding Li, Kangkook Jee, Haifeng Chen, Sanjeev R. Kulkarni, Prateek Mittal:
Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection. ICDE 2020: 1774-1777 - [c102]Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen
, Haifeng Chen, Hui Xiong:
T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. ICDM 2020: 1388-1393 - [c101]Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu:
Inductive and Unsupervised Representation Learning on Graph Structured Objects. ICLR 2020 - [c100]Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang:
Robust Graph Representation Learning via Neural Sparsification. ICML 2020: 11458-11468 - [c99]Masanao Natsumeda, Haifeng Chen:
RULENet: End-to-end Learning with the Dual-estimator for Remaining Useful Life Estimation. ICPHM 2020: 1-8 - [c98]Bo Dong, Cristian Lumezanu, Yuncong Chen, Dongjin Song, Takehiko Mizoguchi, Haifeng Chen, Latifur Khan
:
At the Speed of Sound: Efficient Audio Scene Classification. ICMR 2020: 301-305 - [c97]Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen:
You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. NDSS 2020 - [c96]Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang:
Parameterized Explainer for Graph Neural Network. NeurIPS 2020 - [c95]Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang:
Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution. ECML/PKDD (3) 2020: 330-346 - [c94]Jiaping Gui, Zhengzhang Chen
, Xiao Yu, Cristian Lumezanu, Haifeng Chen:
Anomaly Detection on Web-User Behaviors Through Deep Learning. SecureComm (1) 2020: 467-473 - [c93]Zeyu Li, Wei Cheng, Yang Chen, Haifeng Chen, Wei Wang:
Interpretable Click-Through Rate Prediction through Hierarchical Attention. WSDM 2020: 313-321 - [c92]Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen:
Temporal Context-Aware Representation Learning for Question Routing. WSDM 2020: 753-761 - [c91]Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha:
Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. WWW 2020: 1785-1795 - [c90]Pengyang Wang, Jiaping Gui, Zhengzhang Chen
, Junghwan Rhee, Haifeng Chen, Yanjie Fu:
A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. WWW 2020: 2144-2154 - [i16]Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo:
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. CoRR abs/2001.04346 (2020) - [i15]Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen:
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. CoRR abs/2005.07427 (2020) - [i14]Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning. CoRR abs/2006.11321 (2020) - [i13]Xueyuan Han, Xiao Yu, Thomas F. J.-M. Pasquier, Ding Li, Junghwan Rhee, James Mickens, Margo I. Seltzer, Haifeng Chen:
SIGL: Securing Software Installations Through Deep Graph Learning. CoRR abs/2008.11533 (2020) - [i12]Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang:
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. CoRR abs/2008.13361 (2020) - [i11]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong:
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. CoRR abs/2009.02835 (2020) - [i10]Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong:
T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. CoRR abs/2010.13903 (2020) - [i9]Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang:
Parameterized Explainer for Graph Neural Network. CoRR abs/2011.04573 (2020) - [i8]Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang:
Learning to Drop: Robust Graph Neural Network via Topological Denoising. CoRR abs/2011.07057 (2020)
2010 – 2019
- 2019
- [j30]Junhua Yang
, Baozhou Huang, Hui Shen, Dongshen Xie, Fengjun Xiong, Siling Lu, Haifeng Chen:
EKF Based Fuzzy PI Controlled Speed Sensorless Power Optimal Control of a Direct Drive Power System. IEEE Access 7: 61610-61619 (2019) - [j29]Haibo Liang, Haifeng Chen, Yanjun Lu:
Research on sensor error compensation of comprehensive logging unit based on machine learning. J. Intell. Fuzzy Syst. 37(3): 3113-3123 (2019) - [j28]Shiqi Yu, Rijun Liao, Weizhi An, Haifeng Chen, Edel B. García Reyes, Yongzhen Huang, Norman Poh:
GaitGANv2: Invariant gait feature extraction using generative adversarial networks. Pattern Recognit. 87: 179-189 (2019) - [c89]Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng
, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla:
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. AAAI 2019: 1409-1416 - [c88]Yan Li, Le Yang, Haifeng Chen, Dongmei Jiang, Hichem Sahli:
Audio Visual Multimodal Classification of Bipolar Disorder Episodes. ACII Workshops 2019: 115-120 - [c87]Jiaping Gui, Xusheng Xiao
, Ding Li, Chung Hwan Kim
, Haifeng Chen:
Progressive processing of system-behavioral query. ACSAC 2019: 378-389 - [c86]Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang:
Self-Attentive Attributed Network Embedding Through Adversarial Learning. ICDM 2019: 758-767 - [c85]Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen:
Learning Robust Representations with Graph Denoising Policy Network. ICDM 2019: 1378-1383 - [c84]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang:
Adaptive Neural Network for Node Classification in Dynamic Networks. ICDM 2019: 1402-1407 - [c83]Shen Wang, Zhengzhang Chen
, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu:
Heterogeneous Graph Matching Networks for Unknown Malware Detection. IJCAI 2019: 3762-3770 - [c82]Haifeng Chen, Yifan Deng, Shiwen Cheng, Yixuan Wang, Dongmei Jiang, Hichem Sahli:
Efficient Spatial Temporal Convolutional Features for Audiovisual Continuous Affect Recognition. AVEC@MM 2019: 19-26 - [c81]Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Deep Co-Clustering. SDM 2019: 414-422 - [c80]Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu:
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification. SDM 2019: 693-701 - [c79]Cheng Jin, Cristian Lumezanu, Zhi-Li Zhang, Haifeng Chen:
Clairvoyant Networks. TMA 2019: 89-96 - [i7]Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu:
Adversarial Defense Framework for Graph Neural Network. CoRR abs/1905.03679 (2019) - [i6]Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen:
Learning Robust Representations with Graph Denoising Policy Network. CoRR abs/1910.01784 (2019) - [i5]Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu:
Heterogeneous Graph Matching Networks. CoRR abs/1910.08074 (2019) - 2018
- [j27]Mingda Li, Bo Zong, Cristian Lumezanu, Haifeng Chen:
Learning IP network representations. Comput. Commun. Rev. 48(5): 48-54 (2018) - [c78]Qi Song, Bo Zong, Yinghui Wu, Lu-An Tang, Hui Zhang, Guofei Jiang, Haifeng Chen:
TGNet: Learning to Rank Nodes in Temporal Graphs. CIKM 2018: 97-106 - [c77]Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Dae-ki Cho, Haifeng Chen:
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection. ICLR (Poster) 2018 - [c76]Hui Nie, Haifeng Chen:
Piecewise Linear Interpolation Algorithm in the High Precision Electronic System. ICSAI 2018: 65-69 - [c75]Yanming Wang, Haifeng Chen:
Application of Improved Kalman Filter in High Precision Electronic Scales. ICSAI 2018: 623-628 - [c74]Yanchi Liu, Tan Yan, Haifeng Chen:
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics. IJCAI 2018: 2475-2482 - [c73]Tomio Goto, Hiroki Senshiki, Masanao Sawada, Haifeng Chen, Reo Aoki:
Image Restoration Method for Non-uniform Blurred Images. IST 2018: 1-6 - [c72]Chen Luo, Zhengzhang Chen
, Lu-An Tang, Anshumali Shrivastava, Zhichun Li, Haifeng Chen, Jieping Ye:
TINET: Learning Invariant Networks via Knowledge Transfer. KDD 2018: 1890-1899 - [c71]Dongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao:
Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval. KDD 2018: 2229-2238 - [c70]Wenchao Yu, Cheng Zheng
, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang:
Learning Deep Network Representations with Adversarially Regularized Autoencoders. KDD 2018: 2663-2671 - [c69]Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang:
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. KDD 2018: 2672-2681 - [c68]Le Yang, Yan Li, Haifeng Chen, Dongmei Jiang, Meshia Cédric Oveneke, Hichem Sahli:
Bipolar Disorder Recognition with Histogram Features of Arousal and Body Gestures. AVEC@MM 2018: 15-21 - [c67]Mingda Li, Cristian Lumezanu, Bo Zong, Haifeng Chen:
Deep Learning IP Network Representations. Big-DAMA@SIGCOMM 2018: 33-39 - [c66]Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang:
Co-Regularized Deep Multi-Network Embedding. WWW 2018: 469-478 - [i4]Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla:
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. CoRR abs/1811.08055 (2018) - [i3]Shen Wang, Zhengzhang Chen, Ding Li, Lu-An Tang, Jingchao Ni, Zhichun Li, Junghwan Rhee, Haifeng Chen, Philip S. Yu:
Deep Program Reidentification: A Graph Neural Network Solution. CoRR abs/1812.04064 (2018) - 2017
- [j26]Shiqi Yu
, Haifeng Chen, Qing Wang, Linlin Shen, Yongzhen Huang:
Invariant feature extraction for gait recognition using only one uniform model. Neurocomputing 239: 81-93 (2017) - [j25]Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang:
Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. ACM Trans. Knowl. Discov. Data 11(4): 40:1-40:28 (2017) - [c65]Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, Jinbo Bi:
Identifying and quantifying nonlinear structured relationships in complex manufactural systems. IEEE BigData 2017: 1357-1362 - [c64]Boxiang Dong, Zhengzhang Chen
, Wendy Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Zhichun Li, Haifeng Chen:
Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems. CIKM 2017: 707-715 - [c63]