Bo Kang

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 79

Top Topics

Subgroup Discovery

Interactive Visual

Top Venues

Data Min. Knowl. Discov.

Publications

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) (2024)
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) (2024)
Nan Li, Bo Kang, Tijl De Bie
Content-Agnostic Moderation for Stance-Neutral Recommendation. CoRR (2024)
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) (2024)
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 (2024)
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) (2024)
Alexander Rogiers, Maarten Buyl, Bo Kang, Tijl De Bie
KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces. CoRR (2024)
Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Scalable Job Recommendation With Lower Congestion Using Optimal Transport. IEEE Access 12 (2024)
Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie
ReCon: Reducing Congestion in Job Recommendation using Optimal Transport. CoRR (2023)
Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie
ReCon: Reducing Congestion in Job Recommendation using Optimal Transport. RecSys (2023)
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)
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) (2023)
Nan Li, Bo Kang, Tijl De Bie
LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models. CoRR (2023)
Nan Li, Bo Kang, Tijl De Bie
SkillGPT: a RESTful API service for skill extraction and standardization using a Large Language Model. CoRR (2023)
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) (2023)
Edith Heiter, Bo Kang, Ruth Seurinck, Jefrey Lijffijt
Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors. IDA (2023)
Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources. CoRR (2023)
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 (2023)
Edith Heiter, Bo Kang, Ruth Seurinck, Jefrey Lijffijt
Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors. CoRR (2023)
Lu Liang, Ye Liu, Bo Kang, Ru Wang, Meng-Yu Sun, Qi Wu, Xiang-Fei Meng, Jianping Lin
Large-scale comparison of machine learning algorithms for target prediction of natural products. Briefings Bioinform. 23 (5) (2022)
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) (2022)
Yuanbo Hou, Zhaoyi Liu, Bo Kang, Yun Wang, Dick Botteldooren
CT-SAT: Contextual Transformer for Sequential Audio Tagging. INTERSPEECH (2022)
Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys
Topologically Regularized Data Embeddings. ICLR (2022)
Yuanbo Hou, Bo Kang, Dick Botteldooren
Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion. CoRR (2022)
Yuanbo Hou, Bo Kang, Dick Botteldooren
Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion. MMSP (2022)
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 (2022)
Yuanbo Hou, Bo Kang, Wout Van Hauwermeiren, Dick Botteldooren
Relation-guided acoustic scene classification aided with event embeddings. IJCNN (2022)
Yuanbo Hou, Zhaoyi Liu, Bo Kang, Yun Wang, Dick Botteldooren
CT-SAT: Contextual Transformer for Sequential Audio Tagging. CoRR (2022)
Qisong Wang, Bo Kang, Per Ola Kristensson
Supporting Playful Rehabilitation in the Home using Virtual Reality Headsets and Force Feedback Gloves. VR (2022)
Raphaël Romero, Bo Kang, Tijl De Bie
Graph-Survival: A Survival Analysis Framework for Machine Learning on Temporal Networks. CoRR (2022)
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)
Yuanbo Hou, Bo Kang, Wout Van Hauwermeiren, Dick Botteldooren
Relation-guided acoustic scene classification aided with event embeddings. CoRR (2022)
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)
Yoosof Mashayekhi, Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie
A challenge-based survey of e-recruitment recommendation systems. CoRR (2022)
Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys
Topologically Regularized Data Embeddings. CoRR (2021)
Bo Kang, Jefrey Lijffijt, Tijl De Bie
Explanations for Network Embedding-Based Link Predictions. PKDD/ECML Workshops (1) (2021)
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 (2021)
Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Quantifying and Reducing Imbalance in Networks. HR@RecSys (2021)
Bo Kang, Yongming Li
Adaptive Finite-time Stabilization of High-order Stochastic Nonlinear Systems with Unknown Control Direction. SPAC (2021)
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) (2021)
Xi Chen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction. PKDD/ECML Workshops (2) (2021)
Xander Vankwikelberge, Bo Kang, Edith Heiter, Jefrey Lijffijt
ExClus: Explainable Clustering on Low-dimensional Data Representations. CoRR (2021)
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)
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 (2021)
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) (2021)
Xi Chen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction. CoRR (2021)
Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie
Conditional t-SNE: More informative t-SNE embeddings. DSAA (2021)
Ahmad Mel, Bo Kang, Jefrey Lijffijt, Tijl De Bie
FONDUE: Framework for Node Disambiguation Using Network Embeddings. DSAA (2020)
Junning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach. CoRR (2020)
Ahmad Mel, Bo Kang, Jefrey Lijffijt, Tijl De Bie
FONDUE: A Framework for Node Disambiguation Using Network Embeddings. CoRR (2020)
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) (2020)
Xi Chen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
ALPINE: Active Link Prediction using Network Embedding. CoRR (2020)
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) (2020)
Bo Kang, Jia Guo, Xiangfei Meng
Rapid Implementation of COVID-19 AI Assisted Diagnosis System Based on Supercomputing Platform. UV (2020)
Junning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach. SDM (2020)
Bo Kang, Jefrey Lijffijt, Tijl De Bie
Conditional Network Embeddings. BNAIC/BENELEARN (2019)
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 (2019)
Junning Deng, Jefrey Lijffijt, Bo Kang, Tijl De Bie
SIMIT: Subjectively Interesting Motifs in Time Series. Entropy 21 (6) (2019)
Tao Wang, Zhanxiao Geng, Bo Kang, Xiaochuan Luo
Eagle Shoal: A new designed modular tactile sensing dexterous hand for domestic service robots. ICRA (2019)
Bo Kang, Jefrey Lijffijt, Tijl De Bie
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions. CoRR (2019)
Bo Kang, Jefrey Lijffijt, Tijl De Bie
Conditional Network Embeddings. ICLR (Poster) (2019)
Bo Kang, Jefrey Lijffijt, Tijl De Bie
Conditional Network Embeddings. CoRR (2018)
Bo Kang, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie
SICA: subjectively interesting component analysis. Data Min. Knowl. Discov. 32 (4) (2018)
Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach. ICDE (2018)
Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie
Subjectively Interesting Subgroup Discovery on Real-Valued Targets. ICDE (2018)
Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie
Subjectively Interesting Subgroup Discovery on Real-valued Targets. CoRR (2017)
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) (2017)
Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach. CoRR (2017)
Bo Kang, Joseph J. LaViola Jr., Pamela J. Wisniewski
Examining Interaction Modality Effects Toward Engagement in an Interactive Learning Environment. EC-TEL (2017)
Bo Kang, Joseph J. LaViola Jr., Pamela J. Wisniewski
Structured Input Improves Usability and Precision for Solving Geometry-based Algebraic Problems. CHI (2017)
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) (2016)
Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie
A Tool for Subjective and Interactive Visual Data Exploration. ECML/PKDD (3) (2016)
Kai Puolamäki, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Interactive Visual Data Exploration with Subjective Feedback. ECML/PKDD (2) (2016)
Tijl De Bie, Jefrey Lijffijt, Raúl Santos-Rodríguez, Bo Kang
Informative data projections: a framework and two examples. ESANN (2016)
Bo Kang, Jefrey Lijffijt, Raúl Santos-Rodriguez, Tijl De Bie
Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations. KDD (2016)
Zhuo Ma, WanWan Gao, Shuanyi Du, Bo Kang
A simple frequency-domain equalizer over doubly-selective channel without feedback. CITS (2016)
Bo Kang, Arun Kulshreshth, Joseph J. LaViola Jr.
AnalyticalInk: An Interactive Learning Environment for Math Word Problem Solving. IUI (2016)
Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, Tijl De Bie
P-N-RMiner: A generic framework for mining interesting structured relational patterns. DSAA (2015)
Tijl De Bie, Jefrey Lijffijt, Raúl Santos-Rodriguez, Bo Kang
Informative Data Projections: A Framework and Two Examples. CoRR (2015)
Bo Kang, Hao Hu, Joseph J. LaViola Jr.
Mixed heuristic search for sketch prediction on chemical structure drawing. SBIM@Expressive (2014)
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)
Bo Kang, Jared N. Bott, Joseph J. LaViola Jr.
User perceptions of drawing logic diagrams with pen-centric user interfaces. Graphics Interface (2013)
Jingmei Zhai, Haiyang He, Bo Kang
Studies of adaptive control methods based on VSC for trajectory tracking of robotic manipulators. ROBIO (2012)
Bo Kang, Joseph J. LaViola Jr.
LogicPad: a pen-based application for visualization and verification of boolean algebra. IUI (2012)
Hong Su, Bo Kang, Xiaocheng Tang
Research and Implementation of Hybrid Tracking Techniques in Augmented Museum Tour System. Edutainment (2008)
Bo Kang, Peng Ren, Changzhi Ke
An Augmented Reality System for Computer Maintenance. ICAT (2006)
Changzhi Ke, Bo Kang, Dongyi Chen, Xinyu Li
An Augmented Reality-Based Application for Equipment Maintenance. ACII (2005)