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 (ICDM, 2015)

A computer-based recursion algorithm for automatic charge of power device of electric vehicles carrying electromagnet. - Daniel Liu; Lvette Lopez (CoRR, 2017)

The FactChecker: Verifying Text Summaries of Relational Data Sets. - Saehan Jo; Immanuel Trummer; Weicheng Yu; Daniel Liu; Niyati Mehta (CoRR, 2018)

Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers. - Daniel Liu; Ronald Yu; Hao Su 001 (ICIP, 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 001; Terry Torng (BigMine@KDD, 2019)

Verifying Text Summaries of Relational Data Sets. - Saehan Jo; Immanuel Trummer; Weicheng Yu; Xuezhi Wang 002; Cong Yu 001; Daniel Liu; Niyati Mehta (SIGMOD Conference, 2019)

Adversarial point perturbations on 3D objects. - Daniel Liu; Ronald Yu; Hao Su 001 (CoRR, 2019)

Approximate string searching with fast fourier transforms and simplexes. - Daniel Liu (PeerJ Prepr., 2019)

AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets. - Saehan Jo; Immanuel Trummer; Weicheng Yu; Xuezhi Wang 002; Cong Yu 001; Daniel Liu; Niyati Mehta (Proc. VLDB Endow., 2019)

Adversarial Shape Perturbations on 3D Point Clouds. - Daniel Liu; Ronald Yu; Hao Su 001 (ECCV Workshops (1), 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)

Evaluating a Vendor-derived Pediatric Sepsis Predictive Model in Acute Care Settings. - Daniel Liu; Shengfan Zhang; Maryam Alimohammadi; Feliciani Yu Jr. (AMIA, 2022)

Mint: An Accelerator For Mining Temporal Motifs. - Nishil Talati; Haojie Ye; Sanketh Vedula; Kuan-Yu Chen 001; Yuhan Chen; Daniel Liu; Yichao Yuan; David T. Blaauw; Alex M. Bronstein; Trevor N. Mudge; Ronald G. Dreslinski (MICRO, 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)

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; et al. (CoRR, 2022)

Block Aligner: an adaptive SIMD-accelerated aligner for sequences and position-specific scoring matrices. - Daniel Liu; Martin Steinegger (Bioinform., 2023)

Cascade: Enhancing Reinforcement Learning with Curriculum Federated Learning and Interference Avoidance - A Case Study in Adaptive Bitrate Selection. - Salma Emara; Daniel Liu; Fei Wang 075; Baochun Li (INFOCOM (Workshops), 2024)

The open-closed mod-minimizer algorithm. - Ragnar Groot Koerkamp; Daniel Liu; Giulio Ermanno Pibiri (Algorithms Mol. Biol., 2025)