Harold Soh - RankMe

144 papers A* 28A 18B 6C 1Journal 73Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Abstracting Robot Manipulation Skills via Mixture-of-Experts Diffusion Policies. CoRR Ce Hao, Xuanran Zhai, Yaohua Liu, Harold Soh
2026	J	`jnl`	Action Hallucination in Generative Visual-Language-Action Models. CoRR Harold Soh, Eugene Lim
2026	J	`jnl`	Not All Layers Need Tuning: Selective Layer Restoration Recovers Diversity. CoRR Bowen Zhang, Meiyi Wang, Harold Soh
2026	J	`jnl`	SkillVLA: Tackling Combinatorial Diversity in Dual-Arm Manipulation via Skill Reuse. CoRR Xuanran Zhai, Zekai Huang, Longyan Wu, Qianyou Zhao, Qiaojun Yu, Jieji Ren, Ce Hao, Harold Soh
2025	A*	`conf`	Arena 4.0: a Comprehensive Ros2 Development and Benchmarking Platform for Human-Centric Navigation Using Generative-Model-Based Environment Generation. ICRA Volodymyr Shcherbyna, Linh Kästner, Diego Diaz, Huu Giang Nguyen, Maximilian Ho-Kyoung Schreff, Tim Seeger, Jonas Kreutz, Ahmed Martban, Zhengcheng Shen, Huajian Zeng, Harold Soh
2025	J	`jnl`	CHD: Coupled Hierarchical Diffusion for Long-Horizon Tasks. CoRR Ce Hao, Anxing Xiao, Zhiwei Xue, Harold Soh
2025	J	`jnl`	DISCO: Language-Guided Manipulation With Diffusion Policies and Constrained Inpainting. IEEE Robotics Autom. Lett. Ce Hao, Kelvin Lin, Zhiwei Xue, Siyuan Luo, Harold Soh
2025	J	`jnl`	Demonstrating the Octopi-1.5 Visual-Tactile-Language Model. CoRR Samson Yu, Kelvin Lin, Harold Soh
2025	A*	`conf`	Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks. ICRA Zeyu Feng, Hao Luan, Kevin Yuchen Ma, Harold Soh
2025	J	`jnl`	FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA). CoRR Jiaee Cheong, Yang Liu, Harold Soh, Hatice Gunes
2025	J	`jnl`	GeNIE: A Generalizable Navigation System for In-the-Wild Environments. CoRR Jiaming Wang, Diwen Liu, Jizhuo Chen, Jiaxuan Da, Nuowen Qian, Tram Minh Man, Harold Soh
2025	A*	`conf`	Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers. ICRA Jianxin Bi, Kelvin Lim, Kaiqi Chen, Yifei Huang, Harold Soh
2025	J	`jnl`	Know When to Abstain: Optimal Selective Classification with Likelihood Ratios. CoRR Alvin Heng, Harold Soh
2025	A	`conf`	NUSense: Shear Based Robust Optical Tactile Sensor. IROS Madina Yergibay, Tleukhan Mussin, Daryn Kenzhebek, Saltanat Seitzhan, Ilyas Umurbekov, Kamila Spanova, Zhanat Kappassov, Harold Soh, Tasbolat Taunyazov
2025	A	`conf`	OpenRoboCare: A Multimodal Multi-Task Expert Demonstration Dataset for Robot Caregiving. IROS 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	J	`jnl`	OpenRoboCare: A Multimodal Multi-Task Expert Demonstration Dataset for Robot Caregiving. CoRR 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	—	`conf`	Optimal Motion Prediction for Human-to-Robot Handovers. ROBIO Maxime Sabbah, Krzysztof Wojciechowski, Harold Soh, David Hsu, Ludovic Righetti, Nicolas Mansard, Bruno Watier, Vincent Bonnet
2025	J	`jnl`	TOPO-Bench: An Open-Source Topological Mapping Evaluation Framework with Quantifiable Perceptual Aliasing. CoRR Jiaming Wang, Diwen Liu, Jizhuo Chen, Harold Soh
2025	J	`jnl`	VLA-Touch: Enhancing Vision-Language-Action Models with Dual-Level Tactile Feedback. CoRR Jianxin Bi, Kevin Yuchen Ma, Ce Hao, Mike Zheng Shou, Harold Soh
2024	J	`jnl`	Arena 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments. CoRR Linh Kästner, Volodymyir Shcherbyna, Huajian Zeng, Tuan Anh Le, Maximilian Ho-Kyoung Schreff, Halid Osmaev, Nam Truong Tran, Diego Diaz, Jan Golebiowski, Harold Soh, Jens Lambrecht
2024	J	`jnl`	Arena 4.0: A Comprehensive ROS2 Development and Benchmarking Platform for Human-centric Navigation Using Generative-Model-based Environment Generation. CoRR Volodymyr Shcherbyna, Linh Kästner, Diego Diaz, Huu Giang Nguyen, Maximilian Ho-Kyoung Schreff, Tim Lenz, Jonas Kreutz, Ahmed Martban, Huajian Zeng, Harold Soh
2024	J	`jnl`	Behavioral Refinement via Interpolant-based Policy Diffusion. CoRR Kaiqi Chen, Eugene Lim, Kelvin Lin, Yiyang Chen, Harold Soh
2024	—	`ed.`	Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024, Boulder, CO, USA, March 11-15, 2024 HRI (Companion) Dan Grollman, Elizabeth Broadbent, Wendy Ju, Harold Soh, Tom Williams
2024	—	`conf`	Demonstrating Arena 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments. Robotics: Science and Systems Linh Kästner, Volodymyir Shcherbyna, Huajian Zeng, Tuan Anh Le, Maximilian Ho-Kyoung Schreff, Halid Osmaev, Nam Truong Tran, Diego Diaz, Jan Golebiowski, Harold Soh, Jens Lambrecht
2024	J	`jnl`	Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks. CoRR Zeyu Feng, Hao Luan, Kevin Yuchen Ma, Harold Soh
2024	J	`jnl`	Directions of Technical Innovation for Regulatable AI Systems. Commun. ACM Xudong Shen, Hannah Brown, Jiashu Tao, Martin Strobel, Yao Tong, Akshay Narayan, Harold Soh, Finale Doshi-Velez
2024	—	`conf`	Don't Start From Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion. Robotics: Science and Systems Kaiqi Chen, Eugene Lim, Kelvin Lin, Yiyang Chen, Harold Soh
2024	A*	`conf`	Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction. EMNLP Bowen Zhang, Harold Soh
2024	J	`jnl`	Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction. CoRR Bowen Zhang, Harold Soh
2024	—	`conf`	GRaCE: Balancing Multiple Criteria to Achieve Stable, Collision-Free, and Functional Grasps. Robotics: Science and Systems Tasbolat Taunyazov, Kelvin Lin, Harold Soh
2024	—	`conf`	Generative Modeling with Flow-Guided Density Ratio Learning. ECML/PKDD (2) Alvin Heng, Abdul Fatir Ansari, Harold Soh
2024	J	`jnl`	Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers. CoRR Jianxin Bi, Kelvin Lim, Kaiqi Chen, Yifei Huang, Harold Soh
2024	J	`jnl`	LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-Based Planning. IEEE Robotics Autom. Lett. Zeyu Feng, Hao Luan, Pranav Goyal, Harold Soh
2024	J	`jnl`	LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning. CoRR Zeyu Feng, Hao Luan, Pranav Goyal, Harold Soh
2024	J	`jnl`	Language-Guided Manipulation with Diffusion Policies and Constrained Inpainting. CoRR Ce Hao, Kelvin Lin, Siyuan Luo, Harold Soh
2024	J	`jnl`	NUSense: Robust Soft Optical Tactile Sensor. CoRR Madina Yergibay, Tleukhan Mussin, Saltanat Seitzhan, Daryn Kenzhebek, Zhanat Kappassov, Harold Soh, Tasbolat Taunyazov
2024	—	`conf`	Octopi: Object Property Reasoning with Large Tactile-Language Models. Robotics: Science and Systems Samson Yu, Kelvin Lin, Anxing Xiao, Jiafei Duan, Harold Soh
2024	J	`jnl`	Octopi: Object Property Reasoning with Large Tactile-Language Models. CoRR Samson Yu, Kelvin Lin, Anxing Xiao, Jiafei Duan, Harold Soh
2024	A*	`conf`	Out-of-Distribution Detection with a Single Unconditional Diffusion Model. NeurIPS Alvin Heng, Alexandre H. Thiery, Harold Soh
2024	J	`jnl`	Out-of-Distribution Detection with a Single Unconditional Diffusion Model. CoRR Alvin Heng, Alexandre H. Thiery, Harold Soh
2024	A*	`conf`	Probable Object Location (POLo) Score Estimation for Efficient Object Goal Navigation. ICRA Jiaming Wang, Harold Soh
2024	A*	`ed.`	Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024, Boulder, CO, USA, March 11-15, 2024 HRI Dan Grollman, Elizabeth Broadbent, Wendy Ju, Harold Soh, Tom Williams
2024	J	`jnl`	SocRATES: Towards Automated Scenario-based Testing of Social Navigation Algorithms. CoRR Shashank Rao Marpally, Pranav Goyal, Harold Soh
2024	J	`jnl`	Stochastic Bandits for Egalitarian Assignment. CoRR Eugene Lim, Vincent Y. F. Tan, Harold Soh
2024	J	`jnl`	Stochastic Bandits for Egalitarian Assignment. Trans. Mach. Learn. Res. Eugene Lim, Vincent Y. F. Tan, Harold Soh
2023	J	`jnl`	GRaCE: Optimizing Grasps to Satisfy Ranked Criteria in Complex Scenarios. CoRR Tasbolat Taunyazov, Kelvin Lin, Harold Soh
2023	J	`jnl`	Generative Modeling with Flow-Guided Density Ratio Learning. CoRR Alvin Heng, Abdul Fatir Ansari, Harold Soh
2023	J	`jnl`	Heterogeneous Beliefs and Multi-Population Learning in Network Games. CoRR Shuyue Hu, Harold Soh, Georgios Piliouras
2023	A	`conf`	Large Language Models as Zero-Shot Human Models for Human-Robot Interaction. IROS Bowen Zhang, Harold Soh
2023	J	`jnl`	Large Language Models as Zero-Shot Human Models for Human-Robot Interaction. CoRR Bowen Zhang, Harold Soh
2023	A	`conf`	Latent Emission-Augmented Perspective-Taking (LEAPT) for Human-Robot Interaction. IROS Kaiqi Chen, Jing Yu Lim, Kingsley Kuan, Harold Soh
2023	J	`jnl`	Latent Emission-Augmented Perspective-Taking (LEAPT) for Human-Robot Interaction. CoRR Kaiqi Chen, Jing Yu Lim, Kingsley Kuan, Harold Soh
2023	A*	`conf`	Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series. ICML Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh
2023	J	`jnl`	Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series. CoRR Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh
2023	J	`jnl`	Probable Object Location (POLo) Score Estimation for Efficient Object Goal Navigation. CoRR Jiaming Wang, Harold Soh
2023	A	`conf`	Refining 6-DoF Grasps with Context-Specific Classifiers. IROS Tasbolat Taunyazov, Heng Zhang, John Patrick Eala, Na Zhao, Harold Soh
2023	J	`jnl`	Refining 6-DoF Grasps with Context-Specific Classifiers. CoRR Tasbolat Taunyazov, Heng Zhang, John Patrick Eala, Na Zhao, Harold Soh
2023	A*	`conf`	Safety-Constrained Policy Transfer with Successor Features. ICRA Zeyu Feng, Bowen Zhang, Jianxin Bi, Harold Soh
2023	A*	`conf`	Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models. NeurIPS Alvin Heng, Harold Soh
2023	J	`jnl`	Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models. CoRR Alvin Heng, Harold Soh
2023	A*	`conf`	The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium. NeurIPS Shuyue Hu, Harold Soh, Georgios Piliouras
2023	J	`jnl`	Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities. CoRR Xudong Shen, Hannah Brown, Jiashu Tao, Martin Strobel, Yao Tong, Akshay Narayan, Harold Soh, Finale Doshi-Velez
2023	J	`jnl`	Translating Natural Language to Planning Goals with Large-Language Models. CoRR Yaqi Xie, Chen Yu, Tongyao Zhu, Jinbin Bai, Ze Gong, Harold Soh
2022	—	`conf`	MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication. Robotics: Science and Systems Kaiqi Chen, Jeffrey Fong, Harold Soh
2022	J	`jnl`	MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication. CoRR Kaiqi Chen, Jeffrey Fong, Harold Soh
2022	A*	`conf`	Machine Learning in Human-Robot Collaboration: Bridging the Gap. HRI Cynthia Matuszek, Harold Soh, Matthew C. Gombolay, Nakul Gopalan, Reid G. Simmons, Stefanos Nikolaidis
2022	J	`jnl`	Observed Adversaries in Deep Reinforcement Learning. CoRR Eugene Lim, Harold Soh
2022	C	`conf`	SCALES: From Fairness Principles to Constrained Decision-Making. AIES Sreejith Balakrishnan, Jianxin Bi, Harold Soh
2022	J	`jnl`	SCALES: From Fairness Principles to Constrained Decision-Making. CoRR Sreejith Balakrishnan, Jianxin Bi, Harold Soh
2022	J	`jnl`	Safety-Constrained Policy Transfer with Successor Features. CoRR Zeyu Feng, Bowen Zhang, Jianxin Bi, Harold Soh
2022	A	`conf`	The Dynamics of Q-learning in Population Games: A Physics-inspired Continuity Equation Model. AAMAS Shuyue Hu, Chin-wing Leung, Ho-fung Leung, Harold Soh
2022	J	`jnl`	The Dynamics of Q-learning in Population Games: a Physics-Inspired Continuity Equation Model. CoRR Shuyue Hu, Chin-wing Leung, Ho-fung Leung, Harold Soh
2021	—	`conf`	A Theoretical Framework for Large-Scale Human-Robot Interaction with Groups of Learning Agents. HRI (Companion) Nicholas Teh, Shuyue Hu, Harold Soh
2021	J	`jnl`	Applying Probabilistic Programming to Affective Computing. IEEE Trans. Affect. Comput. Desmond C. Ong, Harold Soh, Jamil Zaki, Noah D. Goodman
2021	A*	`conf`	Deep Explicit Duration Switching Models for Time Series. NeurIPS Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Türkmen, Harold Soh, Alexander J. Smola, Bernie Wang, Tim Januschowski
2021	J	`jnl`	Deep Explicit Duration Switching Models for Time Series. CoRR Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Türkmen, Harold Soh, Alexander J. Smola, Yuyang Wang, Tim Januschowski
2021	A*	`conf`	Embedding Symbolic Temporal Knowledge into Deep Sequential Models. ICRA Yaqi Xie, Fan Zhou, Harold Soh
2021	J	`jnl`	Embedding Symbolic Temporal Knowledge into Deep Sequential Models. CoRR Yaqi Xie, Fan Zhou, Harold Soh
2021	A	`conf`	Extended Tactile Perception: Vibration Sensing through Tools and Grasped Objects. IROS Tasbolat Taunyazov, Luar Shui Song, Eugene Lim, Hian-Hian See, David Lee, Benjamin C. K. Tee, Harold Soh
2021	J	`jnl`	Extended Tactile Perception: Vibration Sensing through Tools and Grasped Objects. CoRR Tasbolat Taunyazov, Luar Shui Song, Eugene Lim, Hian-Hian See, David Lee, Benjamin C. K. Tee, Harold Soh
2021	A*	`conf`	Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning. ICRA Kaiqi Chen, Yong Lee, Harold Soh
2021	J	`jnl`	Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning. CoRR Kaiqi Chen, Yong Lee, Harold Soh
2021	A*	`conf`	Refining Deep Generative Models via Discriminator Gradient Flow. ICLR Abdul Fatir Ansari, Ming Liang Ang, Harold Soh
2020	A*	`conf`	A Characteristic Function Approach to Deep Implicit Generative Modeling. CVPR Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh
2020	A*	`conf`	Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization. NeurIPS Sreejith Balakrishnan, Quoc Phong Nguyen, Bryan Kian Hsiang Low, Harold Soh
2020	J	`jnl`	Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization. CoRR Sreejith Balakrishnan, Quoc Phong Nguyen, Bryan Kian Hsiang Low, Harold Soh
2020	—	`conf`	Event-Driven Visual-Tactile Sensing and Learning for Robots. Robotics: Science and Systems Tasbolat Taunyazov, Weicong Sng, Brian Lim, Hian-Hian See, Jethro Kuan, Abdul Fatir Ansari, Benjamin C. K. Tee, Harold Soh
2020	J	`jnl`	Event-Driven Visual-Tactile Sensing and Learning for Robots. CoRR Tasbolat Taunyazov, Weicong Sng, Hian-Hian See, Brian Lim, Jethro Kuan, Abdul Fatir Ansari, Benjamin C. K. Tee, Harold Soh
2020	A*	`conf`	Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series. AAAI Zhi-Xuan Tan, Harold Soh, Desmond C. Ong
2020	A	`conf`	Fast Texture Classification Using Tactile Neural Coding and Spiking Neural Network. IROS Tasbolat Taunyazov, Yansong Chua, Ruihan Gao, Harold Soh, Yan Wu
2020	A	`conf`	Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration. IROS Joshua Lee, Jeffrey Fong, Bing Cai Kok, Harold Soh
2020	J	`jnl`	Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration. CoRR Joshua Lee, Jeffrey Fong, Bing Cai Kok, Harold Soh
2020	—	`conf`	Juiced and Ready to Predict Private Information in Deep Cooperative Reinforcement Learning. HRI (Companion) Eugene Lim, Bing Cai Kok, Songli Wang, Joshua Lee, Harold Soh
2020	—	`conf`	Modeling the Interplay of Trust and Attention in HRI: An Autonomous Vehicle Study. HRI (Companion) Indu P. Bodala, Bing Cai Kok, Weicong Sng, Harold Soh
2020	J	`jnl`	Multi-task trust transfer for human-robot interaction. Int. J. Robotics Res. Harold Soh, Yaqi Xie, Min Chen, David Hsu
2020	J	`jnl`	Refining Deep Generative Models via Wasserstein Gradient Flows. CoRR Abdul Fatir Ansari, Ming Liang Ang, Harold Soh
2020	J	`jnl`	ST-MNIST - The Spiking Tactile MNIST Neuromorphic Dataset. CoRR Hian-Hian See, Brian Lim, Si Li, Haicheng Yao, Wen Cheng, Harold Soh, Benjamin C. K. Tee
2020	A	`conf`	TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition. IROS Fuqiang Gu, Weicong Sng, Tasbolat Taunyazov, Harold Soh
2020	J	`jnl`	TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition. CoRR Fuqiang Gu, Weicong Sng, Tasbolat Taunyazov, Harold Soh
2020	J	`jnl`	The Evolutionary Dynamics of Independent Learning Agents in Population Games. CoRR Shuyue Hu, Chin-wing Leung, Ho-fung Leung, Harold Soh
2020	J	`jnl`	Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning. ACM Trans. Hum. Robot Interact. Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa
2019	J	`jnl`	A Characteristic Function Approach to Deep Implicit Generative Modeling. CoRR Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh
2019	J	`jnl`	Applying Probabilistic Programming to Affective Computing. CoRR Desmond C. Ong, Harold Soh, Jamil Zaki, Noah D. Goodman
2019	A	`conf`	Deep language-based critiquing for recommender systems. RecSys Ga Wu, Kai Luo, Scott Sanner, Harold Soh
2019	A*	`conf`	Embedding Symbolic Knowledge into Deep Networks. NeurIPS Yaqi Xie, Ziwei Xu, Kuldeep S. Meel, Mohan S. Kankanhalli, Harold Soh
2019	J	`jnl`	Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series. CoRR Zhi-Xuan Tan, Harold Soh, Desmond C. Ong
2019	A*	`conf`	Hyperprior Induced Unsupervised Disentanglement of Latent Representations. AAAI Abdul Fatir Ansari, Harold Soh
2019	A*	`conf`	Robot Capability and Intention in Trust-Based Decisions Across Tasks. HRI Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh
2019	J	`jnl`	Robot Capability and Intention in Trust-based Decisions across Tasks. CoRR Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh
2019	J	`jnl`	Semantically-Regularized Logic Graph Embeddings. CoRR Yaqi Xie, Ziwei Xu, Kuldeep S. Meel, Mohan S. Kankanhalli, Harold Soh
2019	A*	`conf`	Towards Effective Tactile Identification of Textures using a Hybrid Touch Approach. ICRA Tasbolat Taunyazov, Hui Fang Koh, Yan Wu, Caixia Cai, Harold Soh
2019	A*	`conf`	Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models. IJCAI Harold Soh, Pan Shu, Min Chen, David Hsu
2018	A	`conf`	Collaborative Filtering with Behavioral Models. UMAP Dusan Sovilj, Scott Sanner, Harold Soh, Hanze Li
2018	J	`jnl`	Generation Meets Recommendation: Proposing Novel Items for Groups of Users. CoRR Thanh Vinh Vo, Harold Soh
2018	A	`conf`	Generation meets recommendation: proposing novel items for groups of users. RecSys Thanh Vinh Vo, Harold Soh
2018	—	`conf`	Human Trust in Robot Capabilities across Tasks. HRI (Companion) Pan Shu, Min Chen, Indu P. Bodala, Stefanos Nikolaidis, David Hsu, Harold Soh
2018	J	`jnl`	Hyperprior Induced Unsupervised Disentanglement of Latent Representations. CoRR Abdul Fatir Ansari, Harold Soh
2018	J	`jnl`	Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity. Hum. Factors Sean W. Kortschot, Dusan Sovilj, Greg A. Jamieson, Scott Sanner, Chelsea Carrasco, Harold Soh
2018	A*	`conf`	Planning with Trust for Human-Robot Collaboration. HRI Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa
2018	J	`jnl`	Planning with Trust for Human-Robot Collaboration. CoRR Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa
2018	—	`conf`	The Transfer of Human Trust in Robot Capabilities across Tasks. Robotics: Science and Systems Harold Soh, Pan Shu, Min Chen, David Hsu
2018	J	`jnl`	The Transfer of Human Trust in Robot Capabilities across Tasks. CoRR Harold Soh, Pan Shu, Min Chen, David Hsu
2018	A*	`conf`	Z-Transforms and its Inference on Partially Observable Point Processes. IJCAI Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh
2017	B	`conf`	An open source adaptive user interface for network monitoring. SMC Sean W. Kortschot, Dusan Sovilj, Harold Soh, Greg A. Jamieson, Scott Sanner, Chelsea Carrasco, Scott Ralph, Scott Langevin
2017	A*	`conf`	Analytic Decision Analysis via Symbolic Dynamic Programming for Parameterized Hybrid MDPs. ICAPS Shamin Kinathil, Harold Soh, Scott Sanner
2017	A	`conf`	Deep Sequential Recommendation for Personalized Adaptive User Interfaces. IUI Harold Soh, Scott Sanner, Madeleine White, Greg A. Jamieson
2017	—	`conf`	Nonlinear Optimization and Symbolic Dynamic Programming for Parameterized Hybrid Markov Decision Processes. AAAI Workshops Shamin Kinathil, Harold Soh, Scott Sanner
2016	A*	`conf`	Distance-Preserving Probabilistic Embeddings with Side Information: Variational Bayesian Multidimensional Scaling Gaussian Process. IJCAI Harold Soh
2015	J	`jnl`	Learning assistance by demonstration: smart mobility with shared control and paired haptic controllers. J. Hum. Robot Interact. Harold Soh, Yiannis Demiris
2015	J	`jnl`	Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. Harold Soh, Yiannis Demiris
2014	J	`jnl`	Incrementally Learning Objects by Touch: Online Discriminative and Generative Models for Tactile-Based Recognition. IEEE Trans. Haptics Harold Soh, Yiannis Demiris
2013	A	`conf`	Enhanced kinematic model for dexterous manipulation with an underactuated hand. IROS Yanyu Su, Yan Wu, Harold Soh, Zhijiang Du, Yiannis Demiris
2013	A	`conf`	When and how to help: An iterative probabilistic model for learning assistance by demonstration. IROS Harold Soh, Yiannis Demiris
2013	B	`conf`	iCharibot: Design and Field Trials of a Fundraising Robot. ICSR Miguel Sarabia, Tuan Le Mau, Harold Soh, Shuto Naruse, Crispian Poon, Zhitian Liao, Kuen Cherng Tan, Zi Jian Lai, Yiannis Demiris
2012	B	`conf`	Iterative temporal learning and prediction with the sparse online echo state gaussian process. IJCNN Harold Soh, Yiannis Demiris
2012	A	`conf`	Online spatio-temporal Gaussian process experts with application to tactile classification. IROS Harold Soh, Yanyu Su, Yiannis Demiris
2011	A	`conf`	Evolving policies for multi-reward partially observable markov decision processes (MR-POMDPs). GECCO Harold Soh, Yiannis Demiris
2011	—	`conf`	Multi-reward policies for medical applications: anthrax attacks and smart wheelchairs. GECCO (Companion) Harold Soh, Yiannis Demiris
2010	J	`jnl`	Discovering Unique, Low-Energy Pure Water Isomers: Memetic Exploration, Optimization, and Landscape Analysis. IEEE Trans. Evol. Comput. Harold Soh, Yew-Soon Ong, Quoc Chinh Nguyen, Quang Huy Nguyen, Mohamed Salahuddin Habibullah, Terence Hung, Jer-Lai Kuo
2008	—	`conf`	Mining Weather Information in Dengue Outbreak: Predicting Future Cases Based on Wavelet, SVM and GA. World Congress on Engineering (Selected Papers) Yan Wu, Gary Kee Khoon Lee, Xiuju Fu, Harold Soh, Terence Hung
2007	B	`conf`	Grid-based PSE for Engineering of Materials (GPEM). CCGRID Mohamed Salahuddin, Terence Hung, Harold Soh, Endang Sulaiman, Yew-Soon Ong, Bu-Sung Lee, Ren Yunxia
2007	—	`conf`	Playing in the Objective Space: Coupled Approximators for Multi-Objective Optimization. MCDM Harold Soh, Yew-Soon Ong, Mohamed Salahuddin, Terence Hung, Bu-Sung Lee
2007	B	`conf`	Time-series infectious disease data analysis using SVM and genetic algorithm. IEEE Congress on Evolutionary Computation Xiuju Fu, Christina Liew, Harold Soh, Gary Kee Khoon Lee, Terence Hung, Lee-Ching Ng
2006	B	`conf`	moPGA: Towards a New Generation of Multi-objective Genetic Algorithms. IEEE Congress on Evolutionary Computation Harold Soh, Michael Kirley