Publications

Year:

Two Important Things To Do Before Federated Training

conference/seminars
Li W, Pang Y, Yichu X, Yinchuan L, Yunfeng S and De-Chuan Z
Year
2023

Cluster-Based Sampling Allocation for Multi-Fidelity Simulation Optimization

conference/seminars
Li H, Wang H, Tan KC, Cao Z and Chew EP
Year
2023

Preliminary Implementation of Adaptive Learning for Teaching Structural Systems to Non-engineering Students

conference/seminars
Hu X, Goh YM, Lin A and Liu Q
Year
2023

Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback

conference/seminars
Feng Y and Yang J
Year
2023

Information Design of a Delegated Search

conference/seminars
Hu Z, Wang S and Xiao Y
Year
2023

Vertical Federated Graph Neural Network for Recommender System

conference/seminars
Pang Y and Mai P
Year
2023

Joint Price Optimization Across a Portfolio of Fashion E-Commerce Products

conference/seminars
Sarkar S, Bandi C, Devapujula S, Ganu HV, Tallamraju RB, Satya CV and Doshi S
Year
2023

DAG MATTERS! GFLOWNETS ENHANCED EX-PLAINER FOR GRAPH NEURAL NETWORKS

conference/seminars
Li W, Li Y, Li Z, Pang Y and Hao J
Year
2023

Multi-Fidelity Discrete Optimization via Simulation

conference/seminars
Li D, Liu H, Li H, Tan KC, Lin YH, Jin X and Chew EP
Year
2022

Hybrid Simulation Modeling Formalism via O2DES Framework for Mega Container Terminals

conference/seminars
Li H, Tan KC, Chen H, Cao X, Chew EP and Kundu K
Year
2022