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Hongyu Guo
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2020 – today
- 2024
- [j23]Yumin Shen, Hongyu Guo
:
"I feel AI is neither too good nor too bad": Unveiling Chinese EFL teachers' perceived emotions in generative AI-Mediated L2 classes. Comput. Hum. Behav. 161: 108429 (2024) - [j22]Hongyu Guo, Haozhe Liang, Ju Huang, Wei Ou, Wenbao Han
A framework for efficient cross-chain token transfers in blockchain networks. J. King Saud Univ. Comput. Inf. Sci. 36(2): 101968 (2024) - [j21]Hongyu Guo, Xiaoyan Jiang:
English teaching evaluation based on reinforcement learning in content centric data center network. Wirel. Networks 30(5): 4145-4155 (2024) - [c86]Hongyu Guo, Wenbo Shang, Xueyao Zhang, Binyang Li:
MUCH: A Multimodal Corpus Construction for Conversational Humor Recognition Based on Chinese Sitcom. LREC/COLING 2024: 11692-11698 - [c85]Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao:
Conversational Drug Editing Using Retrieval and Domain Feedback. ICLR 2024 - [c84]Gerui Lv
Chorus: Coordinating Mobile Multipath Scheduling and Adaptive Video Streaming. MobiCom 2024: 246-262 - [c83]Yuankang Zhao
JitBright: towards Low-Latency Mobile Cloud Rendering through Jitter Buffer Optimization. NOSSDAV 2024: 36-42 - [c82]Jiaxing Zhang, Furong Yang, Ting Liu, Qinghua Wu, Wu Zhao, Yuanbo Zhang, Wentao Chen, Yanmei Liu, Hongyu Guo, Yunfei Ma, Zhenyu Li:
TECC: Towards Efficient QUIC Tunneling via Collaborative Transmission Control. NSDI 2024: 253-266 - [c81]Hongyu Guo, Xueyao Zhang, Yiyang Chen, Lin Deng, Binyang Li:
UIR-ISC at SemEval-2024 Task 3: Textual Emotion-Cause Pair Extraction in Conversations. SemEval@NAACL 2024: 770-776 - [i41]Stephen Obadinma, Xiaodan Zhu, Hongyu Guo:
Calibration Attack: A Framework For Adversarial Attacks Targeting Calibration. CoRR abs/2401.02718 (2024) - [i40]Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Vignesh C. Bhethanabotla, Nakul Rampal, Omar Yaghi, Christian Borgs, Anima Anandkumar, Hongyu Guo, Jennifer T. Chayes:
A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics. CoRR abs/2401.15122 (2024) - [i39]Yiwei Lu, Guojun Zhang, Sun Sun, Hongyu Guo, Yaoliang Yu:
f-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning. CoRR abs/2402.10150 (2024) - [i38]Shengchao Liu, Divin Yan, Weitao Du, Weiyang Liu, Zhuoxinran Li, Hongyu Guo, Christian Borgs, Jennifer T. Chayes, Anima Anandkumar:
Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design. CoRR abs/2409.10584 (2024) - [i37]Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang:
Structure Language Models for Protein Conformation Generation. CoRR abs/2410.18403 (2024) - 2023
- [j20]Ziqi Chen
Binding peptide generation for MHC Class I proteins with deep reinforcement learning. Bioinform. 39(2) (2023) - [j19]Hongyu Guo, Jianing Zhou, Peng Liu, Hong Chen:
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging. Biomed. Signal Process. Control. 80(Part): 104383 (2023) - [j18]Yumin Shen, Hongyu Guo
Research on high-performance English translation based on topic model. Digit. Commun. Networks 9(2): 505-511 (2023) - [j17]Yibing Ma, Hongyu Guo, Yuqi Sun, Fang Liu:
Real-time prediction algorithm and simulation of sports results based on internet of things and machine learning. Int. J. Inf. Technol. Manag. 22(3/4): 386-406 (2023) - [j16]Masoumeh Soflaei
Information Bottleneck and Aggregated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14807-14820 (2023) - [j15]Yiwei Lu, Guojun Zhang, Sun Sun, Hongyu Guo, Yaoliang Yu:
f-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c80]Hongyu Guo, Yongyi Mao:
Interpolating Graph Pair to Regularize Graph Classification. AAAI 2023: 7766-7774 - [c79]Haoyang Ma, Hongyu Guo:
A Hybrid Model Based on Multi-level External Knowledge for Chinese Semantic Matching. IEEE Big Data 2023: 1200-1205 - [c78]Qian Li
A Service-Oriented Data Sharing and Exchange Model. DMBD (2) 2023: 202-212 - [c77]Haoyang Ma, Zeyu Li, Hongyu Guo:
A Contrastive Framework to Enhance Unsupervised Sentence Representation Learning. ICASSP 2023: 1-5 - [c76]Shengchao Liu, Hongyu Guo, Jian Tang:
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching. ICLR 2023 - [c75]Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao:
Over-Training with Mixup May Hurt Generalization. ICLR 2023 - [c74]Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang:
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. ICML 2023: 21497-21526 - [c73]Hongyu Guo, Kun Xie, Mehdi Keyvan-Ekbatani:
On the identification of risky lane changes: 2D time-to-collision and connected vehicle data. MT-ITS 2023: 1-6 - [c72]Tianxiao Li, Hongyu Guo, Filippo Grazioli, Mark Gerstein, Martin Renqiang Min:
Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering. NeurIPS 2023 - [c71]Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhi-Ming Ma, Omar Yaghi, Animashree Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang:
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. NeurIPS 2023 - [c70]Ziqi Chen
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy. RECOMB 2023: 174-191 - [c69]Stephen Obadinma, Hongyu Guo, Xiaodan Zhu:
Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data. RepL4NLP@ACL 2023: 226-237 - [i36]Shengchao Liu, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Anthony Gitter
A Text-guided Protein Design Framework. CoRR abs/2302.04611 (2023) - [i35]Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao:
Over-training with Mixup May Hurt Generalization. CoRR abs/2303.01475 (2023) - [i34]Ziqi Chen, Martin Renqiang Min
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy. CoRR abs/2303.02162 (2023) - [i33]Stephen Obadinma, Hongyu Guo, Xiaodan Zhu:
Effectiveness of Data Augmentation for Prefix Tuning with Limited Data. CoRR abs/2303.02577 (2023) - [i32]Hongyu Guo:
Wheat Head Counting by Estimating a Density Map with Convolutional Neural Networks. CoRR abs/2303.10542 (2023) - [i31]Fang Sun, Zhihao Zhan, Hongyu Guo, Ming Zhang, Jian Tang:
GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow. CoRR abs/2304.12825 (2023) - [i30]Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao:
ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback. CoRR abs/2305.18090 (2023) - [i29]Shengchao Liu, Weitao Du, Zhiming Ma, Hongyu Guo, Jian Tang:
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. CoRR abs/2305.18407 (2023) - [i28]Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhiming Ma, Omar Yaghi, Anima Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang:
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. CoRR abs/2306.09375 (2023) - 2022
- [j14]Jiarong Zhang, Jinsha Yuan, Hongyu Guo, Xinyu Zan:
Integrating deep learning with first order logic for solving kinematic problems. Appl. Intell. 52(10): 11808-11826 (2022) - [j13]Qing Ai, Hongyu Guo:
Intelligent Data Mining-Based Method for Efficient English Teaching and Cultural Analysis. Int. J. Mob. Comput. Multim. Commun. 13(2): 1-14 (2022) - [j12]Yun Wan
The Cultural Influence of Control Sharing in Autonomous Driving. Int. J. Technoethics 13(1): 1-13 (2022) - [c68]Lirou Jiang, Hongyu Guo, Yuehong Hou:
Research on Production Enterprise Raw Material Ordering and Transportation. ICIEB 2022: 131-136 - [c67]Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang:
Pre-training Molecular Graph Representation with 3D Geometry. ICLR 2022 - [c66]Haoyang Ma, Hongyu Guo:
External Knowledge and Data Augmentation Enhanced Model for Chinese Short Text Matching. ICONIP (6) 2022: 76-87 - [c65]Haoyang Ma, Zeyu Li, Hongyu Guo:
Using Noise and External Knowledge to Enhance Chinese Pre-trained Model. ICTAI 2022: 476-480 - [c64]Haoyang Ma, Zhaoyun Ding, Zeyu Li, Hongyu Guo:
OTE: An Optimized Chinese Short Text Matching Algorithm Based on External Knowledge. KSEM (1) 2022: 15-30 - [c63]Hongyu Guo, Mao Chen, Wei Ou:
A Lightweight NFT Auction Protocol for Cross-chain Environment. ML4CS (1) 2022: 133-146 - [i27]Hongyu Guo, Sun Sun:
SoftEdge: Regularizing Graph Classification with Random Soft Edges. CoRR abs/2204.10390 (2022) - [i26]Shengchao Liu, Hongyu Guo, Jian Tang:
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching. CoRR abs/2206.13602 (2022) - [i25]Hongyu Guo, Kun Xie, Mehdi Keyvan-Ekbatani:
Modeling driver's evasive behavior during safety-critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning. CoRR abs/2209.15133 (2022) - 2021
- [b1]Hongyu Guo
What Are Tensors Exactly? WorldScientific 2021, ISBN 9789811241017, pp. 1-248 - [j11]Wumaier Tuerxun
Fault Diagnosis of Wind Turbines Based on a Support Vector Machine Optimized by the Sparrow Search Algorithm. IEEE Access 9: 69307-69315 (2021) - [c62]Stephen Obadinma, Hongyu Guo, Xiaodan Zhu:
Class-wise Calibration: A Case Study on COVID-19 Hate Speech. Canadian AI 2021 - [c61]Yun Wan, Emem Blessing Akpan, Hongyu Guo:
Robot or me: who gets the control? AMCIS 2021 - [c60]Hangrui Bi, Hengyi Wang, Chence Shi, Connor W. Coley, Jian Tang, Hongyu Guo:
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction. ICML 2021: 904-913 - [c59]Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang:
Self-supervised Graph-level Representation Learning with Local and Global Structure. ICML 2021: 11548-11558 - [c58]Hongyu Guo
Lane Change Detection Using Naturalistic Driving Data. MT-ITS 2021: 1-6 - [c57]Hongyu Guo:
Midpoint Regularization: From High Uncertainty Training Labels to Conservative Classification Decisions. ECML/PKDD (2) 2021: 184-199 - [c56]Sun Sun, Hongyu Guo:
Symmetric Wasserstein autoencoders. UAI 2021: 354-364 - [i24]Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang:
Self-supervised Graph-level Representation Learning with Local and Global Structure. CoRR abs/2106.04113 (2021) - [i23]Hangrui Bi, Hengyi Wang, Chence Shi, Connor W. Coley, Jian Tang, Hongyu Guo:
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction. CoRR abs/2106.07801 (2021) - [i22]Sun Sun, Hongyu Guo:
Symmetric Wasserstein Autoencoders. CoRR abs/2106.13024 (2021) - [i21]Hongyu Guo:
Midpoint Regularization: from High Uncertainty Training to Conservative Classification. CoRR abs/2106.13913 (2021) - [i20]Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang:
Pre-training Molecular Graph Representation with 3D Geometry. CoRR abs/2110.07728 (2021) - [i19]Hongyu Guo, Yongyi Mao:
Intrusion-Free Graph Mixup. CoRR abs/2110.09344 (2021) - 2020
- [c55]Hongyu Guo:
Nonlinear Mixup: Out-Of-Manifold Data Augmentation for Text Classification. AAAI 2020: 4044-4051 - [c54]Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. AAAI 2020: 5810-5817 - [c53]Hongyu Guo, Mei Wang, Peng Liu, Chunsheng Li:
An Improved MRI Reconstruction Algorithm Combining Partial Fourier and Parallel Imaging. BIBE 2020: 24:1-24:6 - [c52]Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang:
A Graph to Graphs Framework for Retrosynthesis Prediction. ICML 2020: 8818-8827 - [c51]Hongyu Guo, Wutao Yin, Sakib Mostafa, Fang-Xiang Wu
Diagnosis of ASD from rs-fMRI Images Based on Brain Dynamic Networks. ISBRA 2020: 166-177 - [c50]Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai:
Dynamic Graph Convolutional Networks for Entity Linking. WWW 2020: 1149-1159 - [i18]Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. CoRR abs/2001.03955 (2020) - [i17]Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang:
A Graph to Graphs Framework for Retrosynthesis Prediction. CoRR abs/2003.12725 (2020) - [i16]Ziqiao Wang, Yongyi Mao, Hongyu Guo, Richong Zhang:
On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions. CoRR abs/2009.04413 (2020) - [i15]Hongyu Guo:
Regularization via Adaptive Pairwise Label Smoothing. CoRR abs/2012.01559 (2020)
2010 – 2019
- 2019
- [c49]Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-of-Manifold Regularization. AAAI 2019: 3714-3722 - [c48]Junfan Chen
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. EMNLP/IJCNLP (1) 2019: 326-336 - [c47]Xiaoyuan Liang, Martin Renqiang Min
Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval. IJCAI 2019: 2966-2972 - [c46]Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai:
Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach. IJCAI 2019: 5264-5270 - [c45]Fanshuang Kong, Richong Zhang, Hongyu Guo, Samuel Mensah
A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity. WWW 2019: 2929-2935 - [i14]Hongyu Guo, Yongyi Mao, Richong Zhang:
Augmenting Data with Mixup for Sentence Classification: An Empirical Study. CoRR abs/1905.08941 (2019) - [i13]Guillaume P. Archambault, Yongyi Mao, Hongyu Guo, Richong Zhang:
MixUp as Directional Adversarial Training. CoRR abs/1906.06875 (2019) - [i12]Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu:
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. CoRR abs/1909.05448 (2019) - [i11]Hongyu Guo, Khalique Newaz, Scott J. Emrich, Tijana Milenkovic, Jun Li:
Weighted graphlets and deep neural networks for protein structure classification. CoRR abs/1910.02594 (2019) - 2018
- [c44]Richong Zhang, Zhiyuan Hu
Syntax Encoding with Application in Authorship Attribution. EMNLP 2018: 2742-2753 - [c43]Martin Renqiang Min
Parametric t-Distributed Stochastic Exemplar-Centered Embedding. ECML/PKDD (1) 2018: 477-493 - [i10]Hongyu Guo, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks. CoRR abs/1807.10251 (2018) - [i9]Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-Of-Manifold Regularization. CoRR abs/1809.02499 (2018) - 2017
- [j10]Hongyu Guo, Amjad Nusayr, Wen-Chen Hu:
Analysis and Resolution of Semantic Ambiguity of Toggle Buttons by Standardizing the Design in Software GUI and Mobile Apps. IJHCR 8(2): 1-18 (2017) - [c42]Hongyu Guo:
A Deep Network with Visual Text Composition Behavior. ACL (2) 2017: 372-377 - [c41]Xingye Zhou, Xin Tan, Yuanjie Lv, Yuangang Wang, Xubo Song, Guodong Gu, Peng Xu, Hongyu Guo, Zhihong Feng, Shujun Cai:
Dynamic characteristics and related trapping effects of GaN-based Fin-MISHEMTs. ASICON 2017: 584-587 - [c40]Martin Renqiang Min
Exemplar-centered Supervised Shallow Parametric Data Embedding. IJCAI 2017: 2479-2485 - [i8]Martin Renqiang Min, Hongyu Guo, Dongjin Song:
Exemplar-Centered Supervised Shallow Parametric Data Embedding. CoRR abs/1702.06602 (2017) - [i7]Hongyu Guo, Colin Cherry, Jiang Su:
End-to-End Multi-View Networks for Text Classification. CoRR abs/1704.05907 (2017) - [i6]Hongyu Guo:
A Deep Network with Visual Text Composition Behavior. CoRR abs/1707.01555 (2017) - [i5]Martin Renqiang Min, Hongyu Guo, Dinghan Shen:
Parametric t-Distributed Stochastic Exemplar-centered Embedding. CoRR abs/1710.05128 (2017) - 2016
- [j9]Mingrong Ren
A Novel Pedestrian Navigation Algorithm for a Foot-Mounted Inertial-Sensor-Based System. Sensors 16(1): 139 (2016) - [c39]Hongyu Guo:
Accelerated Continuous Conditional Random Fields for load forecasting. ICDE 2016: 1492-1493 - [c38]Haiyang Yu, Yawen Hu, Hongyu Guo, Lin Fang:
Tunnel moving target detection based on local structure of image and gray scale information. ICITE 2016: 103-107 - [c37]Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo:
DAG-Structured Long Short-Term Memory for Semantic Compositionality. HLT-NAACL 2016: 917-926 - [i4]Martin Renqiang Min, Hongyu Guo, Dongjin Song:
A Shallow High-Order Parametric Approach to Data Visualization and Compression. CoRR abs/1608.04689 (2016) - 2015
- [j8]Sijia Liu, Jiuchun Jiang, Wei Shi, Zeyu Ma, Le Yi Wang, Hongyu Guo:
Butler-Volmer-Equation-Based Electrical Model for High-Power Lithium Titanate Batteries Used in Electric Vehicles. IEEE Trans. Ind. Electron. 62(12): 7557-7568 (2015) - [j7]Hongyu Guo:
Accelerated Continuous Conditional Random Fields For Load Forecasting. IEEE Trans. Knowl. Data Eng. 27(8): 2023-2033 (2015) - [c36]Boxing Chen, Hongyu Guo:
Representation Based Translation Evaluation Metrics. ACL (2) 2015: 150-155 - [c35]Colin Cherry, Hongyu Guo, Chengbi Dai:
NRC: Infused Phrase Vectors for Named Entity Recognition in Twitter. NUT@IJCNLP 2015: 54-60 - [c34]Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo:
Long Short-Term Memory Over Recursive Structures. ICML 2015: 1604-1612 - [c33]Chunsheng Yang, Qingfeng Lou, Jie Liu, Hongyu Guo, Yun Bai:
Particle Filter-Based Approach to Estimate Remaining Useful Life for Predictive Maintenance. IEA/AIE 2015: 692-701 - [c32]Colin Cherry, Hongyu Guo:
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition. HLT-NAACL 2015: 735-745 - [c31]Xiaodan Zhu, Hongyu Guo, Parinaz Sobhani:
Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition. *SEM@NAACL-HLT 2015: 1-9 - [c30]Boxing Chen, Hongyu Guo, Roland Kuhn:
Multi-level Evaluation for Machine Translation. WMT@EMNLP 2015: 361-365 - [i3]Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo:
Long Short-Term Memory Over Tree Structures. CoRR abs/1503.04881 (2015) - [i2]Hongyu Guo, Xiaodan Zhu, Martin Renqiang Min:
A Deep Learning Model for Structured Outputs with High-order Interaction. CoRR abs/1504.08022 (2015) - [i1]Hongyu Guo:
Generating Text with Deep Reinforcement Learning. CoRR abs/1510.09202 (2015) - 2014
- [c29]Xiaodan Zhu, Hongyu Guo, Saif M. Mohammad, Svetlana Kiritchenko:
An Empirical Study on the Effect of Negation Words on Sentiment. ACL (1) 2014: 304-313 - [c28]Xiaoguang Wang, Xuan Liu, Stan Matwin
A multi-view two-level classification method for generalized multi-instance problems. IEEE BigData 2014: 104-111 - [c27]Jun Wang, Hongyu Guo:
A Real Options Pricing Framework for Valuation of Security Professionals. CSO 2014: 514-518 - [c26]Chunsheng Yang, Sylvain Létourneau, Hongyu Guo:
Developing Data-driven Models to Predict BEMS Energy Consumption for Demand Response Systems. IEA/AIE (1) 2014: 188-197 - [c25]Hongyu Guo, Sylvain Létourneau, Chunsheng Yang:
A Data Driven Approach for Smart Lighting. IEA/AIE (2) 2014: 308-317 - 2013
- [j6]Hongyu Guo, Sylvain Létourneau:
Iterative classification for multiple target attributes. J. Intell. Inf. Syst. 40(2): 283-305 (2013) - [j5]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Reducing the size of databases for multirelational classification: a subgraph-based approach. J. Intell. Inf. Syst. 40(2): 349-374 (2013) - [c24]Yuntao Jiao, Jun Wang, Hongyu Guo:
Evaluation Professional Ethics of Network Business. BIFE 2013: 392-396 - [c23]Hongyu Guo:
Modeling Short-Term Energy Load with Continuous Conditional Random Fields. ECML/PKDD (1) 2013: 433-448 - 2012
- [c22]JiaXiang Zheng, Jun Wan, YunFei Ren, Hongyu Guo:
A Jump-diffusion Approach to Modelling Software Security Investment. BIFE 2012: 274-278 - [c21]Jun Wan, Bin Ding, YunFei Ren, JiaXiang Zheng, Hongyu Guo:
Valuing Information Security Investment: A Real Options Approach. BIFE 2012: 279-284 - [c20]Hongyu Guo, Dongmei Huang, Xiaoqun Zhao:
An algorithm for spoken keyword spotting via subsequence DTW. IC-NIDC 2012: 573-576 - [c19]Michelangelo Ceci
Transductive Relational Classification in the Co-training Paradigm. MLDM 2012: 11-25 - [c18]Eric Paquet, Herna Lydia Viktor, Hongyu Guo:
Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation. NFMCP 2012: 49-63 - 2011
- [j4]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Privacy Disclosure and Preservation in Learning with Multi-Relational Databases. J. Comput. Sci. Eng. 5(3): 183-196 (2011) - [c17]Pengcheng Xi, Hongyu Guo, Chang Shu:
Human Body Shape Prediction and Analysis Using Predictive Clustering Tree. 3DIMPVT 2011: 196-203 - [c16]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Privacy leakage in multi-relational learning via unwanted classification models. CASCON 2011: 45-59 - [c15]Eric Paquet, Herna L. Viktor, Hongyu Guo:
To Aggregate or Not to Aggregate: That is the Question. KDIR 2011: 354-357 - 2010
- [c14]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Identifying and Preventing Data Leakage in Multi-relational Classification. ICDM Workshops 2010: 458-465
2000 – 2009
- 2009
- [c13]Xiaomin Pei, Hongyu Guo, Jianping Dai:
A Novel Lung Segmentation and Boundary Correction Method. BMEI 2009: 1-4 - [c12]Ping Yang, Hongyu Guo, Yanfa He:
Combining Explicitly Mask Image with Voxel-Based Morphometry for Improving 0.35T Functional MRI Data Analysis. ICIG 2009: 712-715 - 2008
- [j3]Hongyu Guo, Herna L. Viktor:
Learning from Skewed Class Multi-relational Databases. Fundam. Informaticae 89(1): 69-94 (2008) - [j2]Hongyu Guo, Herna L. Viktor:
Multirelational classification: a multiple view approach. Knowl. Inf. Syst. 17(3): 287-312 (2008) - [c11]Longzhuang Li, John Fernandez, Hongyu Guo:
A Framework for Query Capabilities and Interface Design of Mediators on the Gulf of Mexico Data Sources. APWeb 2008: 660-671 - 2007
- [c10]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Pruning Relations for Substructure Discovery of Multi-relational Databases. PKDD 2007: 462-470 - 2006
- [c9]Hongyu Guo, Herna L. Viktor:
Multi-view ANNs for Multi-relational Classification. IJCNN 2006: 5259-5266 - [c8]Mark Whitbeck, Hongyu Guo:
Multiple Landmark Warping Using Thin-plate Splines. IPCV 2006: 256-263 - [c7]Hongyu Guo, Herna L. Viktor:
Mining relational data through correlation-based multiple view validation. KDD 2006: 567-573 - [c6]Herna L. Viktor, Eric Paquet, Hongyu Guo:
Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification. PKDD 2006: 395-406 - 2005
- [c5]Hongyu Guo, Anand Rangarajan
3-D Diffeomorphic Shape Registration on Hippocampal Data Sets. MICCAI (2) 2005: 984-991 - 2004
- [j1]Hongyu Guo, Herna L. Viktor:
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach. SIGKDD Explor. 6(1): 30-39 (2004) - [c4]Hongyu Guo, Anand Rangarajan
A New Joint Clustering and Diffeomorphism Estimation Algorithm for Non-Rigid Shape Matching. CVPR Workshops 2004: 16-22 - [c3]Hongyu Guo, Herna L. Viktor:
Boosting with Data Generation: Improving the Classification of Hard to Learn Examples. IEA/AIE 2004: 1082-1091 - [c2]Hongyu Guo, Anand Rangarajan, Sarang C. Joshi, Laurent Younes:
Non-Rigid Registration of Shapes Via Diffeomorphic Point Matching. ISBI 2004: 924-927 - [c1]Herna L. Viktor, Hongyu Guo:
Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples. SSPR/SPR 2004: 974-982
Coauthor Index
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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 2024-12-01 00:14 CET by the dblp team
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