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2020 – today
- 2024
[c18]Jianhui Li, Zhennan Qin, Yijie Mei, Jingze Cui, Yunfei Song, Ciyong Chen, Yifei Zhang, Longsheng Du, Xianhang Cheng, Baihui Jin, Yan Zhang, Jason Ye, Eric Lin, Dan Lavery:
oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation. CGO 2024: 460-470- [i9]Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou:
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR abs/2404.14219 (2024) - [i8]Blazej Manczak, Eliott Zemour, Eric Lin, Vaikkunth Mugunthan:
PrimeGuard: Safe and Helpful LLMs through Tuning-Free Routing. CoRR abs/2407.16318 (2024) - 2023
- [j3]Eric Lin
, Robert Zwolinski, Julie Tsu-Yu Wu, Jennifer La, Sergey Goryachev, Linden B. Huhmann, Cenk Yildirim, David P. Tuck, Danne C. Elbers, Mary T. Brophy, Nhan V. Do, Nathanael R. Fillmore:
Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes. Health Informatics J. 29(3) (2023) - [j2]Eric Lin, Boyuan Liu, Leann Lac, Daryl L. X. Fung, Carson K. Leung, Pingzhao Hu:
scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data. Mach. Learn. Sci. Technol. 4(3): 35013 (2023) - [c17]Taehyeon Kim, Eric Lin, Junu Lee, Christian Lau, Vaikkunth Mugunthan:
Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection. NeurIPS 2023 - [i7]Jianhui Li, Zhennan Qin, Yijie Mei, Jingze Cui, Yunfei Song, Ciyong Chen, Yifei Zhang, Longsheng Du, Xianhang Cheng, Baihui Jin, Jason Ye, Eric Lin, Dan Lavery:
oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation. CoRR abs/2301.01333 (2023) - [i6]Albert Yu Sun, Eliott Zemour, Arushi Saxena, Udith Vaidyanathan, Eric Lin, Christian Lau, Vaikkunth Mugunthan:
Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information? CoRR abs/2307.16382 (2023) - [i5]Taehyeon Kim, Eric Lin, Junu Lee, Christian Lau, Vaikkunth Mugunthan:
Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Approach for Object Detection. CoRR abs/2310.17097 (2023) - 2022
- [c16]Vaikkunth Mugunthan, Eric Lin, Vignesh Gokul, Christian Lau, Lalana Kagal, Steven D. Pieper:
FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks. ECCV (12) 2022: 69-85 - [c15]Kavya Kopparapu, Eric Lin, John G. Breslin, Bharath Sudharsan:
TinyFedTL: Federated Transfer Learning on Ubiquitous Tiny IoT Devices. PerCom Workshops 2022: 79-81 - 2021
- [i4]Kavya Kopparapu, Eric Lin:
TinyFedTL: Federated Transfer Learning on Tiny Devices. CoRR abs/2110.01107 (2021) - 2020
- [i3]Cole Smith, Eric Lin, Dennis E. Shasha:
Robotic Room Traversal using Optical Range Finding. CoRR abs/2004.08368 (2020) - [i2]Kavya Kopparapu, Eric Lin, Jessica Zhao:
FedCD: Improving Performance in non-IID Federated Learning. CoRR abs/2006.09637 (2020) - [i1]Kavya Kopparapu, Eric Lin:
FedFMC: Sequential Efficient Federated Learning on Non-iid Data. CoRR abs/2006.10937 (2020)
2010 – 2019
- 2017
- [c14]Jinhyung D. Park, Erik Seglem, Eric Lin, Andreas Züfle:
Protecting User Privacy: Obfuscating Discriminative Spatio-Temporal Footprints. LocalRec@SIGSPATIAL 2017: 2:1-2:4 - [c13]Eric Lin, Jinhyung D. Park, Andreas Züfle:
Real-Time Bayesian Micro-Analysis for Metro Traffic Prediction. UrbanGIS@SIGSPATIAL 2017: 12:1-12:4 - 2016
- [c12]Yuheng Long, Mehdi Bagherzadeh, Eric Lin, Ganesha Upadhyaya, Hridesh Rajan:
On ordering problems in message passing software. MODULARITY 2016: 54-65 - 2014
- [j1]Gavin Weiguang Ding, Eric Lin, Amanda Ribeiro, Marinko V. Sarunic, Glen F. Tibbits, Mirza Faisal Beg:
Automatic Cycle Averaging for Denoising Approximately Periodic Spatiotemporal Signals. IEEE Trans. Medical Imaging 33(8): 1749-1759 (2014) - [c11]Shiaofen Fang, Lanfang Miao, Eric Lin:
Visualization and Clustering of Online Book Reviews. IVAPP 2014: 187-194 - 2013
- [c10]Eric Lin, Shiaofen Fang, Jie Wang:
Mining Online Book Reviews for Sentimental Clustering. AINA Workshops 2013: 179-184 - [c9]Nicola Capuano, Giuseppina Rita Mangione, Anna Pierri, Eric Lin:
Engaging e-learning for Risk Management: The ALICE Experience in Italian Schools. CISIS 2013: 367-372 - [c8]Gavin Weiguang Ding, Eric Lin, Amanda Ribeiro, Marinko V. Sarunic, Glen F. Tibbits, Mirza Faisal Beg:
On identification of sinoatrial node in zebrafish heart based on functional time series from optical mapping. EMBC 2013: 6518-6521 - [c7]Eric Lin, Hridesh Rajan:
Panini: a capsule-oriented programming language for implicitly concurrent program design. SPLASH (Companion Volume) 2013: 19-20 - 2012
- [c6]Eric Lin, John Aycock, Mohammad Mannan:
Lightweight Client-Side Methods for Detecting Email Forgery. WISA 2012: 254-269 - 2011
- [c5]Eric Lin, Saul Greenberg, Eileah Trotter, David Ma, John Aycock:
Does domain highlighting help people identify phishing sites? CHI 2011: 2075-2084 - 2010
- [c4]Eric Lin, Daniel Medeiros Nunes de Castro, Mea Wang, John Aycock:
SPoIM: A close look at pollution attacks in P2P live streaming. IWQoS 2010: 1-9
2000 – 2009
- 2006
- [c3]Miaobo Chen, Shalom Goldenberg, Suresh Srinivas, Valery Ushakov, Young Wang, Qi Zhang, Eric Lin, Yoav Zach:
Java JNI Bridge: A Framework for Mixed Native ISA Execution. CGO 2006: 65-75 - 2005
- [c2]Grace J. Hwang, Joseph Arul, Eric Lin, Chung-Yun Hung:
Design and Multithreading Implementation of the Wave-Front Algorithm for Constructing Voronoi Diagrams. ICA3PP 2005: 257-266 - 2003
- [c1]M. S. Lin, Ling Chen, J. Y. Lee, H. T. Liu, C. K. Chou, K. H. Wan, H. M. Chen, Kevin Chou, Roger Hsiao, Eric Lin:
A new IC interconnection scheme and design architecture for high performance ICs at very low fabrication cost - post passivation interconnection. CICC 2003: 533-536
Coauthor Index
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last updated on 2024-09-18 01:12 CEST by the dblp team
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