David Han

12 papers A* 1B 1Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Predicting Dynamic Map States from Limited Field-of-View Sensor Data.
CoRR
Knut Peterson, David Han
2024 — conf
Cosmos: Coherent Scene with Multiple Objects Reconstruction.
ICASSP Workshops
Byoungsung Lim, David Han
2022 — conf
A 1-Tb 4b/Cell 4-Plane 162-Layer 3D Flash Memory With a 2.4-Gb/s I/O Speed Interface.
ISSCC
Jong Yuh, Jason Li, Heguang Li, Yoshihiro Oyama, Cynthia Hsu, Pradeep Anantula, Stanley Jeong, Anirudh Amarnath, Siddhesh Darne, Sneha Bhatia, Tianyu Tang, Aditya Arya, Naman Rastogi, Naoki Ookuma, Hiroyuki Mizukoshi, Alex Yap, Demin Wang, Steve Kim, Yonggang Wu, Min Peng, Jason Lu, Tommy Ip, Seema Malhotra, David Han, Masatoshi Okumura, Jiwen Liu, John Sohn, Hardwell Chibvongodze, Muralikrishna Balaga, Aki Matsuda, Chakshu Puri, Chen Chen, Indra K. V, Chaitanya G, Venky Ramachandra, Yosuke Kato, Ravi Kumar, Huijuan Wang, Farookh Moogat, In-Soo Yoon, Kazushige Kanda, Takahiro Shimizu, Noboru Shibata, Takashi Shigeoka, Kosuke Yanagidaira, Takuyo Kodama, Ryo Fukuda, Yasuhiro Hirashima, Mitsuhiro Abe
2022 A* conf
A software-defined tensor streaming multiprocessor for large-scale machine learning.
ISCA
Dennis Abts, Garrin Kimmell, Andrew C. Ling, John Kim, Matthew Boyd, Andrew Bitar, Sahil Parmar, Ibrahim Ahmed, Roberto DiCecco, David Han, John Thompson, Michael Bye, Jennifer Hwang, Jeremy Fowers, Peter Lillian, Ashwin Murthy, Elyas Mehtabuddin, Chetan Tekur, Thomas Sohmers, Kris Kang, Stephen Maresh, Jonathan Ross
2022 — conf
Using Generative Adversarial Networks to Assist Synthetic Population Creation for Simulations.
ANNSIM
Srihan Kotnana, David Han, Taylor Anderson, Andreas Züfle, Hamdi Kavak
2021 J jnl
A Statistician Teaches Deep Learning.
CoRR
G. Jogesh Babu, David Banks, Hyunsoon Cho, David Han, Hailin Sang, Shouyi Wang
2020 — conf
Learning Object Placement by Inpainting for Compositional Data Augmentation.
ECCV (13)
Lingzhi Zhang, Tarmily Wen, Jie Min, Jiancong Wang, David Han, Jianbo Shi
2018 B conf
DLA: Compiler and FPGA Overlay for Neural Network Inference Acceleration.
FPL
Mohamed S. Abdelfattah, David Han, Andrew Bitar, Roberto DiCecco, Shane O'Connell, Nitika Shanker, Joseph Chu, Ian Prins, Joshua Fender, Andrew C. Ling, Gordon R. Chiu
2018 J jnl
DLA: Compiler and FPGA Overlay for Neural Network Inference Acceleration.
CoRR
Mohamed S. Abdelfattah, David Han, Andrew Bitar, Roberto DiCecco, Shane O'Connell, Nitika Shanker, Joseph Chu, Ian Prins, Joshua Fender, Andrew C. Ling, Gordon R. Chiu
2018 — conf
Harnessing Numerical Flexibility for Deep Learning on FPGAs.
HEART
Andrew C. Ling, Mohamed S. Abdelfattah, Shane O'Connell, Andrew Bitar, David Han, Roberto DiCecco, Suchit Subhaschandra, Chris N. Johnson, Dmitry Denisenko, Joshua Fender, Gordon R. Chiu
2002 J jnl
TDG Engineering: Do We Really Need Another Upgrade?
Commun. Assoc. Inf. Syst.
Stephen Cox, Renee Dulfer, David Han, Ubaldo Ruiz, Steven Alter
1995 J jnl
Comparison of object-oriented and traditional systems development issues in distributed environments.
Inf. Manag.
Graham C. Low, Brian Henderson-Sellers, David Han