Search Results for author: Yeow Meng Chee

Found 9 papers, 3 papers with code

Fixed-Budget Differentially Private Best Arm Identification

no code implementations17 Jan 2024 Zhirui Chen, P. N. Karthik, Yeow Meng Chee, Vincent Y. F. Tan

We study best arm identification (BAI) in linear bandits in the fixed-budget regime under differential privacy constraints, when the arm rewards are supported on the unit interval.

FLAC: A Robust Failure-Aware Atomic Commit Protocol for Distributed Transactions

no code implementations9 Feb 2023 Hexiang Pan, Quang-Trung Ta, Meihui Zhang, Yeow Meng Chee, Gang Chen, Beng Chin Ooi

Consequently, it improves both the response time and throughput, and effectively handles nodes distributed across the Internet where crash and network failures might occur.

Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation

1 code implementation14 Oct 2022 Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee

Recent neural methods for vehicle routing problems always train and test the deep models on the same instance distribution (i. e., uniform).

Knowledge Distillation

Federated Best Arm Identification with Heterogeneous Clients

no code implementations14 Oct 2022 Zhirui Chen, P. N. Karthik, Vincent Y. F. Tan, Yeow Meng Chee

Furthermore, we show that for any algorithm whose upper bound on the expected stopping time matches with the lower bound up to a multiplicative constant ({\em almost-optimal} algorithm), the ratio of any two consecutive communication time instants must be {\em bounded}, a result that is of independent interest.

Neural Network Decoders for Permutation Codes Correcting Different Errors

no code implementations7 Jun 2022 Yeow Meng Chee, HUI ZHANG

Permutation codes were extensively studied in order to correct different types of errors for the applications on power line communication and rank modulation for flash memory.

Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives

no code implementations CVPR 2022 Xinke Li, Henghui Ding, Zekun Tong, Yuwei Wu, Yeow Meng Chee

Further study suggests that our strategy can improve the model performance by pretraining and fine-tuning scheme, especially for the dataset with a small scale.

3D Object Classification Multi-Task Learning +1

Efficient Neural Neighborhood Search for Pickup and Delivery Problems

2 code implementations25 Apr 2022 Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, YueJiao Gong, Yeow Meng Chee

We present an efficient Neural Neighborhood Search (N2S) approach for pickup and delivery problems (PDPs).

Serverless Data Science -- Are We There Yet? A Case Study of Model Serving

no code implementations4 Mar 2021 Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu, Meihui Zhang, Yeow Meng Chee, Beng Chin Ooi

Data scientists today have to manage the end-to-end ML life cycle that includes both model training and model serving, the latter of which is essential, as it makes their works available to end-users.


Optimal Codes Correcting a Single Indel / Edit for DNA-Based Data Storage

1 code implementation15 Oct 2019 Kui Cai, Yeow Meng Chee, Ryan Gabrys, Han Mao Kiah, Tuan Thanh Nguyen

In this paper, we investigate codes that combat either a single indel or a single edit and provide linear-time algorithms that encode binary messages into these codes of length n. Over the quaternary alphabet, we provide two linear-time encoders.

Information Theory Information Theory

Cannot find the paper you are looking for? You can Submit a new open access paper.