7 citations · 11 across the 4 of their papers we have counts for
4 papers
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets
Peng Liao, XiLu Wang, Yaochu Jin +1
Deploying models across diverse devices demands tradeoffs among multiple objectives due to different resource constraints. Arguably, due to the small model trap problem in multi-ob…
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling
Wanting Zhang, Wei Du, Guo Yu +3
With the scaling up of crude oil scheduling in modern refineries, large-scale crude oil scheduling problems (LSCOSPs) emerge with thousands of binary variables and non-linear const…
Towards Fairness-Aware Multi-Objective Optimization
Guo Yu, Lianbo Ma, Wei Du +2
Recent years have seen the rapid development of fairness-aware machine learning in mitigating unfairness or discrimination in decision-making in a wide range of applications. Howev…
Accelerated Dual Averaging Methods for Decentralized Constrained Optimization
Changxin Liu, Yang Shi, Huiping Li +1
In this work, we study decentralized convex constrained optimization problems in networks. We focus on the dual averaging-based algorithmic framework that is well-documented to be…