Harold Soh
25 papers · 2016–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9) π Cross-Pollinator (14)
π£
Hot Topic Early Bird
π
Conference Polyglot
(9)
π
Academic Marathon
(9)
π§¬
Topic Evolution
π
Grand Slam
π₯
Unstoppable
(8)
π
Conference Pioneer
π
Century Club
(25)
β‘
Prolific Year
(6)
π
Trend Setter
ποΈ
Keyword Collector
(110)
Conferences
RSS (9)
NIPS (6)
IJCAI (3)
AAAI (2)
CORL (1)
CVPR (1)
EMNLP (1)
ICLR (1)
ICML (1)
Top co-authors
Research topics
Keywords
human-robot interaction
(4)
diffusion model
(3)
time series
(3)
tactile sensing
(3)
variational inference
(3)
distribution matching
(2)
trust transfer
(2)
social navigation
(2)
retrieval-augmented generation
(2)
trust modeling
(2)
recurrent neural network
(2)
motion planning
(2)
variational autoencoder
(2)
neural network
(2)
multimodal learning
(1)
information extraction
(1)
imitation learning
(1)
neuromorphic computing
(1)
game theory
(1)
non-convex optimization
(1)
Papers
CHD: Coupled Hierarchical Diffusion for Long-Horizon Tasks
CORL 2025
Demonstrating the Octopi-1.5 Visual-Tactile-Language Model
RSS 2025
Demonstrating Arena 5.0: A Photorealistic ROS2 Simulation Framework for Developing and Benchmarking Social Navigation
RSS 2025
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
NIPS 2024
Don't Start From Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion
RSS 2024
Octopi: Object Property Reasoning with Large Tactile-Language Models
RSS 2024
Demonstrating Arena 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments
RSS 2024
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
EMNLP 2024
GRaCE: Balancing Multiple Criteria to Achieve Stable, Collision-Free, and Functional Grasps
RSS 2024
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
ICML 2023
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
NIPS 2023
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium
NIPS 2023
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication
RSS 2022
Deep Explicit Duration Switching Models for Time Series
NIPS 2021
Refining Deep Generative Models via Discriminator Gradient Flow
ICLR 2021
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
NIPS 2020
Event-Driven Visual-Tactile Sensing and Learning for Robots
RSS 2020
A Characteristic Function Approach to Deep Implicit Generative Modeling
CVPR 2020
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series
AAAI 2020
Embedding Symbolic Knowledge into Deep Networks
NIPS 2019
Hyperprior Induced Unsupervised Disentanglement of Latent Representations
AAAI 2019
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models
IJCAI 2019
Z-Transforms and its Inference on Partially Observable Point Processes
IJCAI 2018
The Transfer of Human Trust in Robot Capabilities across Tasks
RSS 2018
Distance-Preserving Probabilistic Embeddings with Side Information: Variational Bayesian Multidimensional Scaling Gaussian Process
IJCAI 2016