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08/27/2023
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization
Real-time solutions to the influence blocking maximization (IBM) problem...
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06/26/2023
Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications
The multiple-choice knapsack problem (MCKP) is a classic NP-hard combina...
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05/18/2023
Large Language Models can be Guided to Evade AI-Generated Text Detection
Large Language Models (LLMs) have demonstrated exceptional performance i...
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05/04/2023
Multi-Domain Learning From Insufficient Annotations
Multi-domain learning (MDL) refers to simultaneously constructing a mode...
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02/06/2023
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend
Word-level textual adversarial attacks have achieved striking performanc...
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11/23/2022
Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles
Attack Ensemble (AE), which combines multiple attacks together, provides...
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11/17/2022
Automatic Construction of Parallel Algorithm Portfolios for Multi-objective Optimization
It has been widely observed that there exists no universal best Multi-ob...
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09/22/2022
How Good Is Neural Combinatorial Optimization?
Traditional solvers for tackling combinatorial optimization (CO) problem...
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08/18/2022
Disentangled Contrastive Learning for Social Recommendation
Social recommendations utilize social relations to enhance the represent...
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06/04/2022
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack
Deep neural networks are vulnerable to adversarial examples, even in the...
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12/23/2021
Training Quantized Deep Neural Networks via Cooperative Coevolution
This work considers a challenging Deep Neural Network (DNN) quantization...
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11/02/2021
HydraText: Multi-objective Optimization for Adversarial Textual Attack
The field of adversarial textual attack has significantly grown over the...
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09/06/2021
Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack
Over the past few years, various word-level textual attack approaches ha...
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01/20/2021
A New Knowledge Gradient-based Method for Constrained Bayesian Optimization
Black-box problems are common in real life like structural design, drug ...
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11/12/2020
Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows
The vehicle routing problem with simultaneous pickup-delivery and time w...
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07/01/2020
Few-shots Parameter Tuning via Co-evolution
Generalization, i.e., the ability of addressing problem instances that a...
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06/01/2020
Leveraging TSP Solver Complementarity via Deep Learning
The Travelling Salesman Problem (TSP) is a classical NP-hard problem and...
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11/19/2019
On Performance Estimation in Automatic Algorithm Configuration
Over the last decade, research on automated parameter tuning, often refe...
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04/17/2018
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping
Simultaneously utilizing several complementary solvers is a simple yet e...
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03/29/2017