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2020 – today
- 2024
- [j22]Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Scalable Job Recommendation With Lower Congestion Using Optimal Transport. IEEE Access 12: 55491-55505 (2024) - [j21]Yu Lu, Ce Yu, Jian Xiao, Hao Wang, Hao Fu, Bo Kang, Gang Zheng:
A large-scale heterogeneous computing framework for non-uniform sampling two-dimensional convolution applications. CCF Trans. High Perform. Comput. 6(2): 221-239 (2024) - [j20]Yoosof Mashayekhi, Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
A Challenge-based Survey of E-recruitment Recommendation Systems. ACM Comput. Surv. 56(10): 252 (2024) - [j19]Ruichen Zhang, Bo Kang:
From Propaganda to Memes: Resignification of Political Discourse Through Memes on the Chinese Internet. Int. J. Hum. Comput. Interact. 40(11): 3030-3049 (2024) - [j18]Yuanbo Hou, Bo Kang, Andrew Mitchell, Wenwu Wang, Jian Kang, Dick Botteldooren:
Cooperative Scene-Event Modelling for Acoustic Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 68-82 (2024) - [j17]Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources. ACM Trans. Intell. Syst. Technol. 15(4): 80:1-80:24 (2024) - [j16]Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
GREASE: Graph Imbalance Reduction by Adding Sets of Edges. IEEE Trans. Knowl. Data Eng. 36(4): 1611-1623 (2024) - [c42]Alexander Rogiers, Maarten Buyl, Bo Kang, Tijl De Bie:
KamerRaad: Enhancing Information Retrieval in Belgian National Politics Through Hierarchical Summarization and Conversational Interfaces. ECML/PKDD (8) 2024: 409-412 - [i25]Alexander Rogiers, Maarten Buyl, Bo Kang, Tijl De Bie:
KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces. CoRR abs/2404.17597 (2024) - [i24]Nan Li, Bo Kang, Tijl De Bie:
Content-Agnostic Moderation for Stance-Neutral Recommendation. CoRR abs/2405.18941 (2024) - 2023
- [j15]Honglei Ren, Yuezan Tao, Ting Wei, Bo Kang, Yucheng Li, Fei Lin:
An Analytical Solution to the One-Dimensional Unsteady Temperature Field near the Newtonian Cooling Boundary. Axioms 12(1): 61 (2023) - [j14]Dali Wang, Jiaxuan Li, Lei Wang, Yipeng Cao, Bo Kang, Xiangfei Meng, Sai Li, Chen Song:
Toward atomistic models of intact severe acute respiratory syndrome coronavirus 2 via Martini coarse-grained molecular dynamics simulations. Quant. Biol. 11(4): 421-433 (2023) - [j13]Fei Zhou, Wei Sheng, Zitao Lu, Bo Kang, Mianyi Chen, Guoping Qiu:
Super-resolution image visual quality assessment based on structure-texture features. Signal Process. Image Commun. 117: 117025 (2023) - [c41]Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources. HR@RecSys 2023 - [c40]Edith Heiter, Bo Kang, Ruth Seurinck, Jefrey Lijffijt:
Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors. IDA 2023: 169-181 - [c39]Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
ReCon: Reducing Congestion in Job Recommendation using Optimal Transport. RecSys 2023: 696-701 - [i23]Edith Heiter, Bo Kang, Ruth Seurinck, Jefrey Lijffijt:
Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors. CoRR abs/2302.03493 (2023) - [i22]Nan Li, Bo Kang, Tijl De Bie:
SkillGPT: a RESTful API service for skill extraction and standardization using a Large Language Model. CoRR abs/2304.11060 (2023) - [i21]Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
ReCon: Reducing Congestion in Job Recommendation using Optimal Transport. CoRR abs/2308.09516 (2023) - [i20]Nan Li, Bo Kang, Tijl De Bie:
LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models. CoRR abs/2309.09708 (2023) - [i19]Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources. CoRR abs/2311.04542 (2023) - 2022
- [j12]Lu Liang, Ye Liu, Bo Kang, Ru Wang, Meng-Yu Sun, Qi Wu, Xiangfei Meng, Jianping Lin:
Large-scale comparison of machine learning algorithms for target prediction of natural products. Briefings Bioinform. 23(5) (2022) - [j11]Edith Heiter, Bo Kang, Tijl De Bie, Jefrey Lijffijt:
Evaluating Representation Learning and Graph Layout Methods for Visualization. IEEE Computer Graphics and Applications 42(3): 19-28 (2022) - [j10]Hao Wang, Ce Yu, Jian Xiao, Shanjiang Tang, Yu Lu, Hao Fu, Bo Kang, Gang Zheng, Chenzhou Cui:
A method for efficient radio astronomical data gridding on multi-core vector processor. Parallel Comput. 113: 102972 (2022) - [c38]Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys:
The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? AISTATS 2022: 2158-2172 - [c37]Yu Lu, Ce Yu, Jian Xiao, Hao Wang, Hao Fu, Shanjiang Tang, Bo Kang, Gang Zheng:
EasyNUSC: An Efficient Heterogeneous Computing Framework for Non-uniform Sampling Two-Dimensional Convolution Applications. ICA3PP 2022: 707-721 - [c36]Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys:
Topologically Regularized Data Embeddings. ICLR 2022 - [c35]Yuanbo Hou, Bo Kang, Wout Van Hauwermeiren, Dick Botteldooren:
Relation-guided acoustic scene classification aided with event embeddings. IJCNN 2022: 1-8 - [c34]Yuanbo Hou, Zhaoyi Liu, Bo Kang, Yun Wang, Dick Botteldooren:
CT-SAT: Contextual Transformer for Sequential Audio Tagging. INTERSPEECH 2022: 4147-4151 - [c33]Yuanbo Hou, Bo Kang, Dick Botteldooren:
Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion. MMSP 2022: 1-6 - [c32]Qisong Wang, Bo Kang, Per Ola Kristensson:
Supporting Playful Rehabilitation in the Home using Virtual Reality Headsets and Force Feedback Gloves. VR 2022: 504-513 - [i18]Raphaël Romero, Bo Kang, Tijl De Bie:
Graph-Survival: A Survival Analysis Framework for Machine Learning on Temporal Networks. CoRR abs/2203.07260 (2022) - [i17]Yuanbo Hou, Zhaoyi Liu, Bo Kang, Yun Wang, Dick Botteldooren:
CT-SAT: Contextual Transformer for Sequential Audio Tagging. CoRR abs/2203.11573 (2022) - [i16]Yuanbo Hou, Bo Kang, Wout Van Hauwermeiren, Dick Botteldooren:
Relation-guided acoustic scene classification aided with event embeddings. CoRR abs/2205.00499 (2022) - [i15]Yuanbo Hou, Bo Kang, Dick Botteldooren:
Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion. CoRR abs/2208.02086 (2022) - [i14]Yoosof Mashayekhi, Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
A challenge-based survey of e-recruitment recommendation systems. CoRR abs/2209.05112 (2022) - 2021
- [j9]Fei Lin, Honglei Ren, Ting Wei, Bo Kang, Yucheng Li, Yuezan Tao:
Research on the Contaminant Breakthrough Time Algorithm Based on Thermal Penetration Theory. IEEE Access 9: 161991-161998 (2021) - [j8]Junning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Mining explainable local and global subgraph patterns with surprising densities. Data Min. Knowl. Discov. 35(1): 321-371 (2021) - [j7]Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie:
Conditional t-SNE: more informative t-SNE embeddings. Mach. Learn. 110(10): 2905-2940 (2021) - [c31]Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie:
Conditional t-SNE: More informative t-SNE embeddings. DSAA 2021: 1-2 - [c30]Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Quantifying and Reducing Imbalance in Networks. HR@RecSys 2021 - [c29]Xi Chen, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction. PKDD/ECML Workshops (2) 2021: 22-38 - [c28]Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Explanations for Network Embedding-Based Link Predictions. PKDD/ECML Workshops (1) 2021: 473-488 - [c27]Bo Kang, Yongming Li:
Adaptive Finite-time Stabilization of High-order Stochastic Nonlinear Systems with Unknown Control Direction. SPAC 2021: 150-155 - [c26]Qisong Wang, Bo Kang, Per Ola Kristensson:
Supporting Physical and Mental Health Rehabilitation at Home with Virtual Reality Headsets and Force Feedback Gloves. VR Workshops 2021: 685-686 - [e2]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e1]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i13]Xi Chen, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction. CoRR abs/2107.01936 (2021) - [i12]Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys:
The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data. CoRR abs/2109.10569 (2021) - [i11]Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys:
Topologically Regularized Data Embeddings. CoRR abs/2110.09193 (2021) - [i10]Xander Vankwikelberge, Bo Kang, Edith Heiter, Jefrey Lijffijt:
ExClus: Explainable Clustering on Low-dimensional Data Representations. CoRR abs/2111.03168 (2021) - 2020
- [j6]Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Interactive visual data exploration with subjective feedback: an information-theoretic approach. Data Min. Knowl. Discov. 34(1): 21-49 (2020) - [j5]Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie:
A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback. IEEE Trans. Knowl. Data Eng. 32(9): 1666-1679 (2020) - [c25]Ahmad Mel, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
FONDUE: Framework for Node Disambiguation Using Network Embeddings. DSAA 2020: 158-167 - [c24]Junning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach. SDM 2020: 586-594 - [c23]Bo Kang, Jia Guo, Xiangfei Meng:
Rapid Implementation of COVID-19 AI Assisted Diagnosis System Based on Supercomputing Platform. UV 2020: 1-5 - [i9]Junning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach. CoRR abs/2002.00793 (2020) - [i8]Xi Chen, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
ALPINE: Active Link Prediction using Network Embedding. CoRR abs/2002.01227 (2020) - [i7]Ahmad Mel, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
FONDUE: A Framework for Node Disambiguation Using Network Embeddings. CoRR abs/2002.10127 (2020)
2010 – 2019
- 2019
- [j4]Junning Deng, Jefrey Lijffijt, Bo Kang, Tijl De Bie:
SIMIT: Subjectively Interesting Motifs in Time Series. Entropy 21(6): 566 (2019) - [c22]Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Conditional Network Embeddings. BNAIC/BENELEARN 2019 - [c21]Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Conditional Network Embeddings. ICLR (Poster) 2019 - [c20]Tao Wang, Zhanxiao Geng, Bo Kang, Xiaochuan Luo:
Eagle Shoal: A new designed modular tactile sensing dexterous hand for domestic service robots. ICRA 2019: 9087-9093 - [i6]Bo Kang, Jefrey Lijffijt, Tijl De Bie:
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions. CoRR abs/1904.12694 (2019) - [i5]Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie:
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information. CoRR abs/1905.10086 (2019) - 2018
- [j3]Bo Kang, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie:
SICA: subjectively interesting component analysis. Data Min. Knowl. Discov. 32(4): 949-987 (2018) - [c19]Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach. ICDE 2018: 1208-1211 - [c18]Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie:
Subjectively Interesting Subgroup Discovery on Real-Valued Targets. ICDE 2018: 1352-1355 - [i4]Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Conditional Network Embeddings. CoRR abs/1805.07544 (2018) - 2017
- [j2]Taotao Hu, Bo Kang, Yaonan Shan:
基于动态函数连接神经网络的自适应逆控制系统辨识研究 (Study on Identification of Adaptive Inverse Control System Based on Dynamic Function Link Neural Network). 计算机科学 44(10): 203-208 (2017) - [c17]Bo Kang, Joseph J. LaViola Jr., Pamela J. Wisniewski:
Structured Input Improves Usability and Precision for Solving Geometry-based Algebraic Problems. CHI 2017: 4692-4702 - [c16]Bo Kang, Joseph J. LaViola Jr., Pamela J. Wisniewski:
Examining Interaction Modality Effects Toward Engagement in an Interactive Learning Environment. EC-TEL 2017: 97-110 - [i3]Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie:
Subjectively Interesting Subgroup Discovery on Real-valued Targets. CoRR abs/1710.04521 (2017) - [i2]Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach. CoRR abs/1710.08167 (2017) - 2016
- [j1]Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, Tijl De Bie:
P-N-RMiner: a generic framework for mining interesting structured relational patterns. Int. J. Data Sci. Anal. 1(1): 61-76 (2016) - [c15]Zhuo Ma, WanWan Gao, Shuanyi Du, Bo Kang:
A simple frequency-domain equalizer over doubly-selective channel without feedback. CITS 2016: 1-5 - [c14]Tijl De Bie, Jefrey Lijffijt, Raúl Santos-Rodríguez, Bo Kang:
Informative data projections: a framework and two examples. ESANN 2016 - [c13]Bo Kang, Arun K. Kulshreshth, Joseph J. LaViola Jr.:
AnalyticalInk: An Interactive Learning Environment for Math Word Problem Solving. IUI 2016: 419-430 - [c12]Bo Kang, Jefrey Lijffijt, Raúl Santos-Rodriguez, Tijl De Bie:
Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations. KDD 2016: 1615-1624 - [c11]Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie:
A Tool for Subjective and Interactive Visual Data Exploration. ECML/PKDD (3) 2016: 3-7 - [c10]Kai Puolamäki, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Interactive Visual Data Exploration with Subjective Feedback. ECML/PKDD (2) 2016: 214-229 - 2015
- [c9]Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, Tijl De Bie:
P-N-RMiner: A generic framework for mining interesting structured relational patterns. DSAA 2015: 1-10 - [i1]Tijl De Bie, Jefrey Lijffijt, Raúl Santos-Rodriguez, Bo Kang:
Informative Data Projections: A Framework and Two Examples. CoRR abs/1511.08762 (2015) - 2014
- [c8]Bo Kang, Hao Hu, Joseph J. LaViola Jr.:
Mixed heuristic search for sketch prediction on chemical structure drawing. SBIM@Expressive 2014: 27-34 - 2013
- [c7]Bo Kang, Jared N. Bott, Joseph J. LaViola Jr.:
User perceptions of drawing logic diagrams with pen-centric user interfaces. Graphics Interface 2013: 79-86 - [c6]Mario Boley, Michael Mampaey, Bo Kang, Pavel Tokmakov, Stefan Wrobel:
One click mining: interactive local pattern discovery through implicit preference and performance learning. IDEA@KDD 2013: 27-35 - 2012
- [c5]Bo Kang, Joseph J. LaViola Jr.:
LogicPad: a pen-based application for visualization and verification of boolean algebra. IUI 2012: 265-268 - [c4]Jingmei Zhai, Haiyang He, Bo Kang:
Studies of adaptive control methods based on VSC for trajectory tracking of robotic manipulators. ROBIO 2012: 429-434
2000 – 2009
- 2008
- [c3]Hong Su, Bo Kang, Xiaocheng Tang:
Research and Implementation of Hybrid Tracking Techniques in Augmented Museum Tour System. Edutainment 2008: 636-643 - 2006
- [c2]Bo Kang, Peng Ren, Changzhi Ke:
An Augmented Reality System for Computer Maintenance. ICAT 2006: 284-291 - 2005
- [c1]Changzhi Ke, Bo Kang, Dongyi Chen, Xinyu Li:
An Augmented Reality-Based Application for Equipment Maintenance. ACII 2005: 836-841
Coauthor Index
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