Daniel Liu

According to our database, Daniel Liu authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cascade: Enhancing Reinforcement Learning with Curriculum Federated Learning and Interference Avoidance - A Case Study in Adaptive Bitrate Selection.

Salma Emara, Daniel Liu, Fei Wang, Baochun Li

Proceedings of the IEEE INFOCOM 2024, 2024

2023

Block Aligner: an adaptive SIMD-accelerated aligner for sequences and position-specific scoring matrices.

Daniel Liu, Martin Steinegger

Bioinform., August, 2023

2022

Knowledge distillation for fast and accurate DNA sequence correction.

Anastasiya Belyaeva, Joel Shor, Daniel E. Cook, Kishwar Shafin, Daniel Liu, Armin Töpfer, Aaron M. Wenger, William J. Rowell, Howard Yang, Alexey Kolesnikov, Cory Y. McLean, Maria Nattestad, Andrew Carroll, Pi-Chuan Chang

CoRR, 2022

Comment on Dr. Chung's Editorial: Pediatric Health Information Technology - What We Need for Optimal Care of Children.

Lori Wong, Daniel Liu, Cori Thompson, Todd Margo, Feliciano Yu

Appl. Clin. Inform., 2022

Mint: An Accelerator For Mining Temporal Motifs.

Nishil Talati, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, David T. Blaauw, Alex M. Bronstein, Trevor N. Mudge, Ronald G. Dreslinski

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Evaluating a Vendor-derived Pediatric Sepsis Predictive Model in Acute Care Settings.

Daniel Liu, Shengfan Zhang, Maryam Alimohammadi, Feliciani Yu Jr.

Proceedings of the AMIA 2022, 2022

2020

Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning.

Nick Angelou, Ayoub Benaissa, Bogdan Cebere, William Clark, Adam James Hall, Michael A. Hoeh, Daniel Liu, Pavlos Papadopoulos, Robin Roehm, Robert Sandmann, Phillipp Schoppmann, Tom Titcombe

CoRR, 2020

Adversarial Shape Perturbations on 3D Point Clouds.

Daniel Liu, Ronald Yu, Hao Su

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets.

Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta

Proc. VLDB Endow., 2019

Approximate string searching with fast fourier transforms and simplexes.

Daniel Liu

PeerJ Prepr., 2019

Adversarial point perturbations on 3D objects.

Daniel Liu, Ronald Yu, Hao Su

CoRR, 2019

Verifying Text Summaries of Relational Data Sets.

Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta

Proceedings of the 2019 International Conference on Management of Data, 2019

System Demonstration of MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications.

Baohua Sun, Daniel Liu, Leo Yu, Jay Li, Helen Liu, Wenhan Zhang, Terry Torng

Proceedings of the 8th International Workshop on Big Data, 2019

Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers.

Daniel Liu, Ronald Yu, Hao Su

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

The FactChecker: Verifying Text Summaries of Relational Data Sets.

Saehan Jo, Immanuel Trummer, Weicheng Yu, Daniel Liu, Niyati Mehta

CoRR, 2018

2017

A computer-based recursion algorithm for automatic charge of power device of electric vehicles carrying electromagnet.

Daniel Liu, Lvette Lopez

CoRR, 2017

2015

From 0.5 Million to 2.5 Million: Efficiently Scaling up Real-Time Bidding.

Jianqiang Shen, Burkay Orten, Sahin Cem Geyik, Daniel Liu, Shahriar Shariat, Fang Bian, Ali Dasdan

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015