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05/19/2023
Introspective Tips: Large Language Model for In-Context Decision Making
The emergence of large language models (LLMs) has substantially influenc...
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04/24/2023
NoiseTrans: Point Cloud Denoising with Transformers
Point clouds obtained from capture devices or 3D reconstruction techniqu...
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02/14/2023
Conservative State Value Estimation for Offline Reinforcement Learning
Offline reinforcement learning faces a significant challenge of value ov...
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11/30/2022
Federated deep clustering with GAN-based data synthesis
Clustering has been extensively studied in centralized settings, but rel...
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10/29/2022
Federated clustering with GAN-based data synthesis
Federated clustering is an adaptation of centralized clustering in the f...
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07/20/2022
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
This paper investigates a critical resource allocation problem in the fi...
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04/23/2022
Selective clustering ensemble based on kappa and F-score
Clustering ensemble has an impressive performance in improving the accur...
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11/22/2021
A Surrogate Objective Framework for Prediction+Optimization with Soft Constraints
Prediction+optimization is a common real-world paradigm where we have to...
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03/27/2018
JSweep: A Patch-centric Data-driven Approach for Parallel Sweeps on Large-scale Meshes
In mesh-based numerical simulations, sweep is an important computation p...
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11/02/2015