2024
Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization.
Frontiers Big Data, 2024

Data Efficient Evaluation of Large Language Models and Text-to-Image Models via Adaptive Sampling.
CoRR, 2024

LLM-Guided Counterfactual Data Generation for Fairer AI.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023
From Roots to Fruits: Exploring Lineage for Dataset Recommendations.
Proceedings of the Second ACM Data Economy Workshop, 2023

2019
Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos.
CoRR, 2019

Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2013
Distributed learning with biogeography-based optimization: Markov modeling and robot control.
Swarm Evol. Comput., 2013

2012
Constrained biogeography-based optimization for invariant set computation.
Proceedings of the American Control Conference, 2012

2011
Distributed Learning with Biogeography-Based Optimization.
Proceedings of the Modern Approaches in Applied Intelligence, 2011