activity
20122021
most citedEvolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results

134 citations · 170 across the 13 of their papers we have counts for

collaborators

26 papers

cs.CV20211 cited

Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding

Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong

Current one-stage methods for visual grounding encode the language query as one holistic sentence embedding before fusion with visual feature. Such a formulation does not treat eac…

q-bio.GN2021

RNA Alternative Splicing Prediction with Discrete Compositional Energy Network

Alvin Chan, Anna Korsakova, Yew-Soon Ong +3

A single gene can encode for different protein versions through a process called alternative splicing. Since proteins play major roles in cellular functions, aberrant splicing prof…

cs.NE2021

Can Transfer Neuroevolution Tractably Solve Your Differential Equations?

Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong

This paper introduces neuroevolution for solving differential equations. The solution is obtained through optimizing a deep neural network whose loss function is defined by the res…

cs.CL20205 cited

Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder

Alvin Chan, Yi Tay, Yew-Soon Ong +1

This paper demonstrates a fatal vulnerability in natural language inference (NLI) and text classification systems. More concretely, we present a 'backdoor poisoning' attack on NLP…

stat.ML2020

Modulating Scalable Gaussian Processes for Expressive Statistical Learning

Haitao Liu, Yew-Soon Ong, Xiaomo Jiang +1

For a learning task, Gaussian process (GP) is interested in learning the statistical relationship between inputs and outputs, since it offers not only the prediction mean but also…

cs.LG2020

Adversary Agnostic Robust Deep Reinforcement Learning

Xinghua Qu, Yew-Soon Ong, Abhishek Gupta +1

Deep reinforcement learning (DRL) policies have been shown to be deceived by perturbations (e.g., random noise or intensional adversarial attacks) on state observations that appear…