Huaduo Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Decision Tree Algorithm

Convolutional Neural Networks

Inductive Learning

Top Venues

Publications

Huaduo Wang, Gopal Gupta
FOLD-SE: An Efficient Rule-Based Machine Learning Algorithm with Scalable Explainability. PADL (2024)
Parth Padalkar, Huaduo Wang, Gopal Gupta
NeSyFOLD: A Framework for Interpretable Image Classification. AAAI (2024)
Yankai Zeng, Abhiramon Rajasekharan, Kinjal Basu, Huaduo Wang, Joaquín Arias, Gopal Gupta
A Reliable Common-Sense Reasoning Socialbot Built Using LLMs and Goal-Directed ASP. CoRR (2024)
Parth Padalkar, Huaduo Wang, Gopal Gupta
Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks. PADL (2024)
Huaduo Wang, Gopal Gupta
Superfast Selection for Decision Tree Algorithms. CoRR (2024)
Parth Padalkar, Huaduo Wang, Gopal Gupta
NeSyFOLD: Extracting Logic Programs from Convolutional Neural Networks. ICLP Workshops (2023)
Parth Padalkar, Huaduo Wang, Gopal Gupta
NeSyFOLD: A System for Generating Logic-based Explanations from Convolutional Neural Networks. CoRR (2023)
Gopal Gupta, Elmer Salazar, Sarat Chandra Varanasi, Kinjal Basu, Joaquín Arias, Farhad Shakerin, Fang Li, Huaduo Wang
Tutorial: Automating Commonsense Reasoning. ICLP Workshops (2022)
Huaduo Wang, Gopal Gupta
FOLD-TR: A Scalable and Efficient Inductive Learning Algorithm for Learning To Rank. CoRR (2022)
Huaduo Wang, Farhad Shakerin, Gopal Gupta
FOLD-RM: A Scalable and Efficient Inductive Learning Algorithm for Multi-Category Classification of Mixed Data. CoRR (2022)
Huaduo Wang, Farhad Shakerin, Gopal Gupta
FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data. Theory Pract. Log. Program. 22 (5) (2022)
Huaduo Wang, Gopal Gupta
FOLD-SE: Scalable Explainable AI. CoRR (2022)
Huaduo Wang, Gopal Gupta
FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data. FLOPS (2022)
Kinjal Basu, Elmer Salazar, Huaduo Wang, Joaquín Arias, Parth Padalkar, Gopal Gupta
Symbolic Reinforcement Learning Framework with Incremental Learning of Rule-based Policy. ICLP Workshops (2022)
Gopal Gupta, Sarat Varnasi, Kinjal Basu, Zhuo Chen, Elmer Salazar, Farhad Shakerin, Serdar Erbatur, Fang Li, Huaduo Wang, Joaquín Arias, Brendan Hall, Kevin Driscoll
Formalizing Informal Logic and Natural Language Deductivism. ICLP Workshops (2021)
Suraj Kothawade, Vinaya Khandelwal, Kinjal Basu, Huaduo Wang, Gopal Gupta
AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning. ICLP Workshops (2021)
Huaduo Wang, Farhad Shakerin, Gopal Gupta
A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories. CoRR (2021)
Fang Li, Huaduo Wang, Gopal Gupta
grASP: A Graph Based ASP-Solver and Justification System. CoRR (2021)
Kinjal Basu, Huaduo Wang, Nancy Dominguez, Xiangci Li, Fang Li, Sarat Chandra Varanasi, Gopal Gupta
CASPR: A Commonsense Reasoning-based Conversational Socialbot. CoRR (2021)
Huaduo Wang, Gopal Gupta
FOLD-R++: A Toolset for Automated Inductive Learning of Default Theories from Mixed Data. CoRR (2021)
Fang Li, Huaduo Wang, Kinjal Basu, Elmer Salazar, Gopal Gupta
DiscASP: A Graph-based ASP System for Finding Relevant Consistent Concepts with Applications to Conversational Socialbots. ICLP Technical Communications (2021)
Suraj Kothawade, Vinaya Khandelwal, Kinjal Basu, Huaduo Wang, Gopal Gupta
AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning. CoRR (2021)
Fang Li, Huaduo Wang, Lijuan Diao, I-Ling Yen, Farokh B. Bastani
Toward Semi-Automated Role Mapping for IoT Systems in Smart Cities. ISC2 (2019)
Lijuan Diao, Huaduo Wang, Sultan Alsarra, I-Ling Yen, Farokh B. Bastani
A Smart Role Mapping Recommendation System. COMPSAC (2) (2019)