Shengcai Liu

CoRR, 2023

Large Language Models as Evolutionary Optimizers.

[BibT_eX]

[DOI]

CoRR, 2023

Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Dataset Condensation for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization.

[BibT_eX]

[DOI]

CoRR, 2023

Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Models can be Guided to Evade AI-Generated Text Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-Domain Learning from Insufficient Annotations.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles.

[BibT_eX]

[DOI]

Fu Peng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Generative Adversarial Construction of Parallel Portfolios.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Efficient Combinatorial Optimization for Word-Level Adversarial Textual Attack.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Automatic Construction of Parallel Algorithm Portfolios for Multi-objective Optimization.

[BibT_eX]

[DOI]

Xiasheng Ma

Wenjing Hong

CoRR, 2022

How Good Is Neural Combinatorial Optimization?

[BibT_eX]

[DOI]

CoRR, 2022

Saliency Attack: Towards Imperceptible Black-box Adversarial Attack.

[BibT_eX]

[DOI]

CoRR, 2022

Training Quantized Deep Neural Networks via Cooperative Coevolution.

[BibT_eX]

[DOI]

Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

Disentangled Contrastive Learning for Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2021

Memetic search for vehicle routing with simultaneous pickup-delivery and time windows.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2021

A heuristic repair method for dial-a-ride problem in intracity logistic based on neighborhood shrinking.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2021

Training Quantized Deep Neural Networks via Cooperative Coevolution.

[BibT_eX]

[DOI]

Fu Peng

CoRR, 2021

HydraText: Multi-objective Optimization for Adversarial Textual Attack.

[BibT_eX]

[DOI]

CoRR, 2021

A New Knowledge Gradient-based Method for Constrained Bayesian Optimization.

[BibT_eX]

[DOI]

Wenjie Chen

CoRR, 2021

Towards Feature-free TSP Solver Selection: A Deep Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Few-shots Parameter Tuning via Co-evolution.

[BibT_eX]

[DOI]

CoRR, 2020

Leveraging TSP Solver Complementarity via Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

On Performance Estimation in Automatic Algorithm Configuration.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Automatic Construction of Parallel Portfolios via Explicit Instance Grouping.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Experience-based Optimization: A Coevolutionary Approach.

[BibT_eX]

[DOI]