| 2025 | ICRA | Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers. | Jianxin Bi, Kelvin Lim, Kaiqi Chen, Yifei Huang, Harold Soh |
| 2025 | ICRA | Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks. | Zeyu Feng, Hao Luan, Kevin Yuchen Ma, Harold Soh |
| 2025 | IROS | OpenRoboCare: A Multimodal Multi-Task Expert Demonstration Dataset for Robot Caregiving. | Xiaoyu Liang, Ziang Liu, Kelvin Lin, Edward Gu, Ruolin Ye, Tam Nguyen, Cynthia Hsu, Zhanxin Wu, Xiaoman Yang, Christy Sum Yu Cheung, Harold Soh, Katherine Dimitropoulou, Tapomayukh Bhattacharjee |
| 2025 | IROS | NUSense: Shear Based Robust Optical Tactile Sensor. | Madina Yergibay, Tleukhan Mussin, Daryn Kenzhebek, Saltanat Seitzhan, Ilyas Umurbekov, Kamila Spanova, Zhanat Kappassov, Harold Soh, Tasbolat Taunyazov |
| 2025 | ICRA | Arena 4.0: a Comprehensive Ros2 Development and Benchmarking Platform for Human-Centric Navigation Using Generative-Model-Based Environment Generation. | Volodymyr Shcherbyna, Linh Kstner, Diego Diaz, Huu Giang Nguyen, Maximilian Ho-Kyoung Schreff, Tim Seeger, Jonas Kreutz, Ahmed Martban, Zhengcheng Shen, Huajian Zeng, Harold Soh |
| 2024 | EMNLP | Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction. | Bowen Zhang, Harold Soh |
| 2024 | ICRA | Probable Object Location (POLo) Score Estimation for Efficient Object Goal Navigation. | Jiaming Wang, Harold Soh |
| 2023 | ICML | Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series. | Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh |
| 2023 | ICRA | Safety-Constrained Policy Transfer with Successor Features. | Zeyu Feng, Bowen Zhang, Jianxin Bi, Harold Soh |
| 2023 | IROS | Latent Emission-Augmented Perspective-Taking (LEAPT) for Human-Robot Interaction. | Kaiqi Chen, Jing Yu Lim, Kingsley Kuan, Harold Soh |
| 2023 | IROS | Refining 6-DoF Grasps with Context-Specific Classifiers. | Tasbolat Taunyazov, Heng Zhang, John Patrick Eala, Na Zhao, Harold Soh |
| 2023 | IROS | Large Language Models as Zero-Shot Human Models for Human-Robot Interaction. | Bowen Zhang, Harold Soh |
| 2022 | AIES | SCALES: From Fairness Principles to Constrained Decision-Making. | Sreejith Balakrishnan, Jianxin Bi, Harold Soh |
| 2022 | HRI | Machine Learning in Human-Robot Collaboration: Bridging the Gap. | Cynthia Matuszek, Harold Soh, Matthew C. Gombolay, Nakul Gopalan, Reid G. Simmons, Stefanos Nikolaidis |
| 2021 | HRI | A Theoretical Framework for Large-Scale Human-Robot Interaction with Groups of Learning Agents. | Nicholas Teh, Shuyue Hu, Harold Soh |
| 2021 | ICLR | Refining Deep Generative Models via Discriminator Gradient Flow. | Abdul Fatir Ansari, Ming Liang Ang, Harold Soh |
| 2021 | ICRA | Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning. | Kaiqi Chen, Yong Lee, Harold Soh |
| 2021 | IROS | Extended Tactile Perception: Vibration Sensing through Tools and Grasped Objects. | Tasbolat Taunyazov, Luar Shui Song, Eugene Lim, Hian-Hian See, David Lee, Benjamin C. K. Tee, Harold Soh |
| 2021 | ICRA | Embedding Symbolic Temporal Knowledge into Deep Sequential Models. | Yaqi Xie, Fan Zhou, Harold Soh |
| 2020 | AAAI | Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series. | Zhi-Xuan Tan, Harold Soh, Desmond C. Ong |
| 2020 | CVPR | A Characteristic Function Approach to Deep Implicit Generative Modeling. | Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh |
| 2020 | HRI | Modeling the Interplay of Trust and Attention in HRI: An Autonomous Vehicle Study. | Indu P. Bodala, Bing Cai Kok, Weicong Sng, Harold Soh |
| 2020 | HRI | Juiced and Ready to Predict Private Information in Deep Cooperative Reinforcement Learning. | Eugene Lim, Bing Cai Kok, Songli Wang, Joshua Lee, Harold Soh |
| 2020 | IROS | TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition. | Fuqiang Gu, Weicong Sng, Tasbolat Taunyazov, Harold Soh |
| 2020 | IROS | Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration. | Joshua Lee, Jeffrey Fong, Bing Cai Kok, Harold Soh |
| 2020 | IROS | Fast Texture Classification Using Tactile Neural Coding and Spiking Neural Network. | Tasbolat Taunyazov, Yansong Chua, Ruihan Gao, Harold Soh, Yan Wu |
| 2019 | AAAI | Hyperprior Induced Unsupervised Disentanglement of Latent Representations. | Abdul Fatir Ansari, Harold Soh |
| 2019 | HRI | Robot Capability and Intention in Trust-Based Decisions Across Tasks. | Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh |
| 2019 | IJCAI | Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models. | Harold Soh, Pan Shu, Min Chen, David Hsu |
| 2019 | ICRA | Towards Effective Tactile Identification of Textures using a Hybrid Touch Approach. | Tasbolat Taunyazov, Hui Fang Koh, Yan Wu, Caixia Cai, Harold Soh |
| 2019 | RecSys | Deep language-based critiquing for recommender systems. | Ga Wu, Kai Luo, Scott Sanner, Harold Soh |
| 2018 | HRI | Planning with Trust for Human-Robot Collaboration. | Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa |
| 2018 | HRI | Human Trust in Robot Capabilities across Tasks. | Pan Shu, Min Chen, Indu P. Bodala, Stefanos Nikolaidis, David Hsu, Harold Soh |
| 2018 | IJCAI | Z-Transforms and its Inference on Partially Observable Point Processes. | Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh |
| 2018 | RecSys | Generation meets recommendation: proposing novel items for groups of users. | Thanh Vinh Vo, Harold Soh |
| 2017 | AAAI | Nonlinear Optimization and Symbolic Dynamic Programming for Parameterized Hybrid Markov Decision Processes. | Shamin Kinathil, Harold Soh, Scott Sanner |
| 2017 | IUI | Deep Sequential Recommendation for Personalized Adaptive User Interfaces. | Harold Soh, Scott Sanner, Madeleine White, Greg A. Jamieson |
| 2017 | SMC | An open source adaptive user interface for network monitoring. | Sean W. Kortschot, Dusan Sovilj, Harold Soh, Greg A. Jamieson, Scott Sanner, Chelsea Carrasco, Scott Ralph, Scott Langevin |
| 2016 | IJCAI | Distance-Preserving Probabilistic Embeddings with Side Information: Variational Bayesian Multidimensional Scaling Gaussian Process. | Harold Soh |
| 2013 | IROS | When and how to help: An iterative probabilistic model for learning assistance by demonstration. | Harold Soh, Yiannis Demiris |
| 2013 | IROS | Enhanced kinematic model for dexterous manipulation with an underactuated hand. | Yanyu Su, Yan Wu, Harold Soh, Zhijiang Du, Yiannis Demiris |
| 2012 | IJCNN | Iterative temporal learning and prediction with the sparse online echo state gaussian process. | Harold Soh, Yiannis Demiris |
| 2012 | IROS | Online spatio-temporal Gaussian process experts with application to tactile classification. | Harold Soh, Yanyu Su, Yiannis Demiris |
| 2011 | GECCO | Evolving policies for multi-reward partially observable markov decision processes (MR-POMDPs). | Harold Soh, Yiannis Demiris |
| 2011 | GECCO | Multi-reward policies for medical applications: anthrax attacks and smart wheelchairs. | Harold Soh, Yiannis Demiris |
| 2007 | CCGRID | Grid-based PSE for Engineering of Materials (GPEM). | Mohamed Salahuddin, Terence Hung, Harold Soh, Endang Sulaiman, Yew-Soon Ong, Bu-Sung Lee, Ren Yunxia |
| 2007 | CEC | Time-series infectious disease data analysis using SVM and genetic algorithm. | Xiuju Fu, Christina Liew, Harold Soh, Gary Kee Khoon Lee, Terence Hung, Lee-Ching Ng |
| 2006 | CEC | moPGA: Towards a New Generation of Multi-objective Genetic Algorithms. | Harold Soh, Michael Kirley |