An Augmented Reality-Based Application for Equipment Maintenance. - Changzhi Ke; Bo Kang; Dongyi Chen; Xinyu Li (ACII, 2005)

An Augmented Reality System for Computer Maintenance. - Bo Kang; Peng Ren; Changzhi Ke (ICAT, 2006)

Research and Implementation of Hybrid Tracking Techniques in Augmented Museum Tour System. - Hong Su; Bo Kang; Xiaocheng Tang (Edutainment, 2008)

LogicPad: a pen-based application for visualization and verification of boolean algebra. - Bo Kang; Joseph J. LaViola Jr. (IUI, 2012)

Studies of adaptive control methods based on VSC for trajectory tracking of robotic manipulators. - Jingmei Zhai; Haiyang He; Bo Kang (ROBIO, 2012)

User perceptions of drawing logic diagrams with pen-centric user interfaces. - Bo Kang; Jared N. Bott; Joseph J. LaViola Jr. (Graphics Interface, 2013)

One click mining: interactive local pattern discovery through implicit preference and performance learning. - Mario Boley; Michael Mampaey; Bo Kang; Pavel Tokmakov; Stefan Wrobel (IDEA@KDD, 2013)

Mixed heuristic search for sketch prediction on chemical structure drawing. - Bo Kang; Hao Hu; Joseph J. LaViola Jr. (SBIM@Expressive, 2014)

A simple frequency-domain equalizer over doubly-selective channel without feedback. - Zhuo Ma; WanWan Gao; Shuanyi Du; Bo Kang (CITS, 2016)

Informative data projections: a framework and two examples. - Tijl De Bie; Jefrey Lijffijt; Raúl Santos-Rodríguez; Bo Kang (ESANN, 2016)

AnalyticalInk: An Interactive Learning Environment for Math Word Problem Solving. - Bo Kang; Arun K. Kulshreshth; Joseph J. LaViola Jr. (IUI, 2016)

Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations. - Bo Kang; Jefrey Lijffijt; Raúl Santos-Rodriguez; Tijl De Bie (KDD, 2016)

A Tool for Subjective and Interactive Visual Data Exploration. - Bo Kang; Kai Puolamäki; Jefrey Lijffijt; Tijl De Bie (ECML/PKDD (3), 2016)

Interactive Visual Data Exploration with Subjective Feedback. - Kai Puolamäki; Bo Kang; Jefrey Lijffijt; Tijl De Bie (ECML/PKDD (2), 2016)

P-N-RMiner: a generic framework for mining interesting structured relational patterns. - Jefrey Lijffijt; Eirini Spyropoulou; Bo Kang; Tijl De Bie (Int. J. Data Sci. Anal., 2016)

Structured Input Improves Usability and Precision for Solving Geometry-based Algebraic Problems. - Bo Kang; Joseph J. LaViola Jr.; Pamela J. Wisniewski (CHI, 2017)

Examining Interaction Modality Effects Toward Engagement in an Interactive Learning Environment. - Bo Kang; Joseph J. LaViola Jr.; Pamela J. Wisniewski (EC-TEL, 2017)

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). - Taotao Hu; Bo Kang; Yaonan Shan (计算机科学, 2017)

Subjectively Interesting Subgroup Discovery on Real-Valued Targets. - Jefrey Lijffijt; Bo Kang; Wouter Duivesteijn; Kai Puolamäki; Emilia Oikarinen; Tijl De Bie (ICDE, 2018)

SICA: subjectively interesting component analysis. - Bo Kang; Jefrey Lijffijt; Raúl Santos-Rodríguez; Tijl De Bie (Data Min. Knowl. Discov., 2018)

Conditional Network Embeddings. - Bo Kang; Jefrey Lijffijt; Tijl De Bie (ICLR (Poster), 2019)

Eagle Shoal: A new designed modular tactile sensing dexterous hand for domestic service robots. - Tao Wang; Zhanxiao Geng; Bo Kang; Xiaochuan Luo (ICRA, 2019)

ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions. - Bo Kang; Jefrey Lijffijt; Tijl De Bie (CoRR, 2019)

Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information. - Bo Kang; Dario García-García; Jefrey Lijffijt; Raúl Santos-Rodríguez; Tijl De Bie (CoRR, 2019)

SIMIT: Subjectively Interesting Motifs in Time Series. - Junning Deng; Jefrey Lijffijt; Bo Kang; Tijl De Bie (Entropy, 2019)

FONDUE: Framework for Node Disambiguation Using Network Embeddings. - Ahmad Mel; Bo Kang; Jefrey Lijffijt; Tijl De Bie (DSAA, 2020)

Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach. - Junning Deng; Bo Kang; Jefrey Lijffijt; Tijl De Bie (SDM, 2020)

Rapid Implementation of COVID-19 AI Assisted Diagnosis System Based on Supercomputing Platform. - Bo Kang; Jia Guo; Xiangfei Meng (UV, 2020)

ALPINE: Active Link Prediction using Network Embedding. - Xi Chen; Bo Kang; Jefrey Lijffijt; Tijl De Bie (CoRR, 2020)

Interactive visual data exploration with subjective feedback: an information-theoretic approach. - Kai Puolamäki; Emilia Oikarinen; Bo Kang; Jefrey Lijffijt; Tijl De Bie (Data Min. Knowl. Discov., 2020)

A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback. - Bo Kang; Kai Puolamäki; Jefrey Lijffijt; Tijl De Bie (IEEE Trans. Knowl. Data Eng., 2020)

Quantifying and Reducing Imbalance in Networks. - Yoosof Mashayekhi; Bo Kang; Jefrey Lijffijt; Tijl De Bie (HR@RecSys, 2021)

Adversarial Robustness of Probabilistic Network Embedding for Link Prediction. - Xi Chen; Bo Kang; Jefrey Lijffijt; Tijl De Bie (PKDD/ECML Workshops (2), 2021)

Explanations for Network Embedding-Based Link Predictions. - Bo Kang; Jefrey Lijffijt; Tijl De Bie (PKDD/ECML Workshops (1), 2021)

Adaptive Finite-time Stabilization of High-order Stochastic Nonlinear Systems with Unknown Control Direction. - Bo Kang; Yongming Li 002 (SPAC, 2021)

Supporting Physical and Mental Health Rehabilitation at Home with Virtual Reality Headsets and Force Feedback Gloves. - Qisong Wang; Bo Kang; Per Ola Kristensson (VR Workshops, 2021)

Research on the Contaminant Breakthrough Time Algorithm Based on Thermal Penetration Theory. - Fei Lin; Honglei Ren; Ting Wei; Bo Kang; Yucheng Li; Yuezan Tao (IEEE Access, 2021)

The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data. - Robin Vandaele; Bo Kang; Tijl De Bie; Yvan Saeys (CoRR, 2021)

ExClus: Explainable Clustering on Low-dimensional Data Representations. - Xander Vankwikelberge; Bo Kang; Edith Heiter; Jefrey Lijffijt (CoRR, 2021)

Mining explainable local and global subgraph patterns with surprising densities. - Junning Deng; Bo Kang; Jefrey Lijffijt; Tijl De Bie (Data Min. Knowl. Discov., 2021)

Conditional t-SNE: more informative t-SNE embeddings. - Bo Kang; Dario García-García; Jefrey Lijffijt; Raúl Santos-Rodríguez; Tijl De Bie (Mach. Learn., 2021)

The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? - Robin Vandaele; Bo Kang; Tijl De Bie; Yvan Saeys (AISTATS, 2022)

EasyNUSC: An Efficient Heterogeneous Computing Framework for Non-uniform Sampling Two-Dimensional Convolution Applications. - Yu Lu; Ce Yu; Jian Xiao 001; Hao Wang; Hao Fu; Shanjiang Tang; Bo Kang; Gang Zheng (ICA3PP, 2022)

Topologically Regularized Data Embeddings. - Robin Vandaele; Bo Kang; Jefrey Lijffijt; Tijl De Bie; Yvan Saeys (ICLR, 2022)

Relation-guided acoustic scene classification aided with event embeddings. - Yuanbo Hou; Bo Kang; Wout Van Hauwermeiren; Dick Botteldooren (IJCNN, 2022)

CT-SAT: Contextual Transformer for Sequential Audio Tagging. - Yuanbo Hou; Zhaoyi Liu; Bo Kang; Yun Wang; Dick Botteldooren (INTERSPEECH, 2022)

Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion. - Yuanbo Hou; Bo Kang; Dick Botteldooren (MMSP, 2022)

Supporting Playful Rehabilitation in the Home using Virtual Reality Headsets and Force Feedback Gloves. - Qisong Wang; Bo Kang; Per Ola Kristensson (VR, 2022)

Large-scale comparison of machine learning algorithms for target prediction of natural products. - Lu Liang; Ye Liu; Bo Kang; Ru Wang; Meng-Yu Sun; Qi Wu; Xiangfei Meng; Jianping Lin (Briefings Bioinform., 2022)

Evaluating Representation Learning and Graph Layout Methods for Visualization. - Edith Heiter; Bo Kang; Tijl De Bie; Jefrey Lijffijt (IEEE Computer Graphics and Applications, 2022)

Graph-Survival: A Survival Analysis Framework for Machine Learning on Temporal Networks. - Raphaël Romero; Bo Kang; Tijl De Bie (CoRR, 2022)

A method for efficient radio astronomical data gridding on multi-core vector processor. - Hao Wang; Ce Yu; Jian Xiao 001; Shanjiang Tang; Yu Lu; Hao Fu; Bo Kang; Gang Zheng; Chenzhou Cui (Parallel Comput., 2022)

Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors. - Edith Heiter; Bo Kang; Ruth Seurinck; Jefrey Lijffijt (IDA, 2023)

ReCon: Reducing Congestion in Job Recommendation using Optimal Transport. - Yoosof Mashayekhi; Bo Kang; Jefrey Lijffijt; Tijl De Bie (RecSys, 2023)

SkillGPT: a RESTful API service for skill extraction and standardization using a Large Language Model. - Nan Li; Bo Kang; Tijl De Bie (CoRR, 2023)

An Analytical Solution to the One-Dimensional Unsteady Temperature Field near the Newtonian Cooling Boundary. - Honglei Ren; Yuezan Tao; Ting Wei; Bo Kang; Yucheng Li; Fei Lin (Axioms, 2023)

Super-resolution image visual quality assessment based on structure-texture features. - Fei Zhou 001; Wei Sheng; Zitao Lu; Bo Kang; Mianyi Chen; Guoping Qiu (Signal Process. Image Commun., 2023)

Toward atomistic models of intact severe acute respiratory syndrome coronavirus 2 via Martini coarse-grained molecular dynamics simulations. - Dali Wang; Jiaxuan Li; Lei Wang 212; Yipeng Cao; Bo Kang; Xiangfei Meng; Sai Li; Chen Song (Quant. Biol., 2023)

KamerRaad: Enhancing Information Retrieval in Belgian National Politics Through Hierarchical Summarization and Conversational Interfaces. - Alexander Rogiers; Maarten Buyl; Bo Kang; Tijl De Bie (ECML/PKDD (8), 2024)

CE: Knowledge Tracking Model Uncertainty Assessment Method Under Trusted Artificial Intelligence. - Jiping Bai; Bo Kang; Kexin Hu; Qi Zheng; Xiaodong Wang (SMC, 2024)

Scalable Job Recommendation With Lower Congestion Using Optimal Transport. - Yoosof Mashayekhi; Bo Kang; Jefrey Lijffijt; Tijl De Bie (IEEE Access, 2024)

Content-Agnostic Moderation for Stance-Neutral Recommendation. - Nan Li; Bo Kang; Tijl De Bie (CoRR, 2024)

Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification. - Nan Li; Bo Kang; Tijl De Bie (CoRR, 2024)

Cooperative Scene-Event Modelling for Acoustic Scene Classification. - Yuanbo Hou; Bo Kang; Andrew Mitchell; Wenwu Wang 001; Jian Kang 002; Dick Botteldooren (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

A large-scale heterogeneous computing framework for non-uniform sampling two-dimensional convolution applications. - Yu Lu; Ce Yu; Jian Xiao 001; Hao Wang; Hao Fu; Bo Kang; Gang Zheng (CCF Trans. High Perform. Comput., 2024)

GREASE: Graph Imbalance Reduction by Adding Sets of Edges. - Yoosof Mashayekhi; Bo Kang; Jefrey Lijffijt; Tijl De Bie (IEEE Trans. Knowl. Data Eng., 2024)

From Propaganda to Memes: Resignification of Political Discourse Through Memes on the Chinese Internet. - Ruichen Zhang; Bo Kang (Int. J. Hum. Comput. Interact., 2024)

FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources. - Nan Li; Bo Kang; Jefrey Lijffijt; Tijl De Bie (ACM Trans. Intell. Syst. Technol., 2024)

A Challenge-based Survey of E-recruitment Recommendation Systems. - Yoosof Mashayekhi; Nan Li; Bo Kang; Jefrey Lijffijt; Tijl De Bie (ACM Comput. Surv., 2024)

Making Hardware Devices at Scale is Still Hard: Challenges and Opportunities for the HCI Community. - Bo Kang; Steve Hodges 001; Per Ola Kristensson (CHI, 2025)

Hierarchical Convolution-Transformer Framework for Gear Fault Diagnosis Under Severe Noise. - Qiushi He; Bo Kang; Shanshan Fan; Xueyi Li 004 (IEEE Access, 2025)

LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models. - Nan Li; Bo Kang; Tijl De Bie (Knowl. Based Syst., 2025)

SimHawNet: a modified Hawkes process for temporal network simulation. - Mathilde Perez; Raphaël Romero; Bo Kang; Tijl De Bie; Jefrey Lijffijt; Charlotte Laclau (Data Min. Knowl. Discov., 2025)