We stand with Ukraine

We stand with Ukraine

Shengcai Liu

Orcid: 0000-0002-4223-2438

According to our database¹, Shengcai Liu authored at least 38 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Datastore Distillation for Nearest Neighbor Machine Translation.

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IEEE ACM Trans. Audio Speech Lang. Process., 2024

2023

A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization.

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Swarm Evol. Comput., December, 2023

How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem.

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IEEE Comput. Intell. Mag., August, 2023

Multi-Domain Active Learning: Literature Review and Comparative Study.

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IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Saliency Attack: Towards Imperceptible Black-box Adversarial Attack.

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ACM Trans. Intell. Syst. Technol., 2023

Pointer Networks Trained Better via Evolutionary Algorithms.

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CoRR, 2023

Large Language Models as Evolutionary Optimizers.

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CoRR, 2023

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

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CoRR, 2023

Dataset Condensation for Recommendation.

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CoRR, 2023

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

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CoRR, 2023

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

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CoRR, 2023

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

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CoRR, 2023

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

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CoRR, 2023

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

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CoRR, 2023

Multi-Domain Learning from Insufficient Annotations.

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

A Sample Reuse Strategy for Dynamic Influence Maximization Problem.

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Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023

Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles.

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

2022

Generative Adversarial Construction of Parallel Portfolios.

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IEEE Trans. Cybern., 2022

Efficient Combinatorial Optimization for Word-Level Adversarial Textual Attack.

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

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

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CoRR, 2022

How Good Is Neural Combinatorial Optimization?

[BibT_eX]

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CoRR, 2022

Saliency Attack: Towards Imperceptible Black-box Adversarial Attack.

[BibT_eX]

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CoRR, 2022

Training Quantized Deep Neural Networks via Cooperative Coevolution.

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

Disentangled Contrastive Learning for Social Recommendation.

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

2021

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

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IEEE Trans. Evol. Comput., 2021

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

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Swarm Evol. Comput., 2021

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

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Multim. Tools Appl., 2021

Training Quantized Deep Neural Networks via Cooperative Coevolution.

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CoRR, 2021

HydraText: Multi-objective Optimization for Adversarial Textual Attack.

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CoRR, 2021

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

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CoRR, 2021

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

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Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Few-shots Parameter Tuning via Co-evolution.

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CoRR, 2020

Leveraging TSP Solver Complementarity via Deep Learning.

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CoRR, 2020

On Performance Estimation in Automatic Algorithm Configuration.

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

2019

Automatic Construction of Parallel Portfolios via Explicit Instance Grouping.

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

2017

Experience-based Optimization: A Coevolutionary Approach.

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CoRR, 2017

2016

ℓ<sub>1/2, 1</sub> group sparse regularization for compressive sensing.

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Jiang-She Zhang

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Signal Image Video Process., 2016

2015

QoS-aware long-term based service composition in cloud computing.

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Proceedings of the IEEE Congress on Evolutionary Computation, 2015

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