Daniel Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Extractive Summarization

Fourier Transform

Relational Data

Health Information Technology

Top Venues

Publications

Salma Emara, Daniel Liu, Fei Wang, Baochun Li
Cascade: Enhancing Reinforcement Learning with Curriculum Federated Learning and Interference Avoidance - A Case Study in Adaptive Bitrate Selection. INFOCOM (Workshops) (2024)
Daniel Liu, Martin Steinegger
Block Aligner: an adaptive SIMD-accelerated aligner for sequences and position-specific scoring matrices. Bioinform. 39 (8) (2023)
Nishil Talati, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, David T. Blaauw, Alex Bronstein, Trevor N. Mudge, Ronald G. Dreslinski
Mint: An Accelerator For Mining Temporal Motifs. MICRO (2022)
Daniel Liu, Shengfan Zhang, Maryam Alimohammadi, Feliciani Yu Jr.
Evaluating a Vendor-derived Pediatric Sepsis Predictive Model in Acute Care Settings. AMIA (2022)
Lori Wong, Daniel Liu, Cori Thompson, Todd Margo, Feliciano Yu
Comment on Dr. Chung's Editorial: Pediatric Health Information Technology - What We Need for Optimal Care of Children. Appl. Clin. Inform. 13 (1) (2022)
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
Knowledge distillation for fast and accurate DNA sequence correction. CoRR (2022)
Daniel Liu, Ronald Yu, Hao Su
Adversarial Shape Perturbations on 3D Point Clouds. ECCV Workshops (1) (2020)
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
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning. CoRR (2020)
Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta
Verifying Text Summaries of Relational Data Sets. SIGMOD Conference (2019)
Daniel Liu
Approximate string searching with fast fourier transforms and simplexes. PeerJ Prepr. 7 (2019)
Daniel Liu, Ronald Yu, Hao Su
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers. CoRR (2019)
Baohua Sun, Daniel Liu, Leo Yu, Jay Li, Helen Liu, Wenhan Zhang, Terry Torng
System Demonstration of MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications. BigMine@KDD (2019)
Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta
AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets. Proc. VLDB Endow. 12 (12) (2019)
Daniel Liu, Ronald Yu, Hao Su
Adversarial point perturbations on 3D objects. CoRR (2019)
Daniel Liu, Ronald Yu, Hao Su
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers. ICIP (2019)
Saehan Jo, Immanuel Trummer, Weicheng Yu, Daniel Liu, Niyati Mehta
The FactChecker: Verifying Text Summaries of Relational Data Sets. CoRR (2018)
Daniel Liu, Lvette Lopez
A computer-based recursion algorithm for automatic charge of power device of electric vehicles carrying electromagnet. CoRR (2017)
Jianqiang Shen, Burkay Orten, Sahin Cem Geyik, Daniel Liu, Shahriar Shariat, Fang Bian, Ali Dasdan
From 0.5 Million to 2.5 Million: Efficiently Scaling up Real-Time Bidding. ICDM (2015)