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2020 – today
- 2024
[c8]Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang:
LEMON: Lossless model expansion. ICLR 2024- [c7]Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao:
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training. NeurIPS 2024 - [i8]Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao:
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training. CoRR abs/2410.15526 (2024) - [i7]Khalil Mrini, Hanlin Lu, Linjie Yang, Weilin Huang, Heng Wang:
Fast Prompt Alignment for Text-to-Image Generation. CoRR abs/2412.08639 (2024) - 2023
- [c6]Xiaoyu Liu, Hanlin Lu, Jianbo Yuan, Xinyu Li:
CAT: Causal Audio Transformer for Audio Classification. ICASSP 2023: 1-5 - [c5]Xinyu Li, Yanyi Zhang, Jianbo Yuan, Hanlin Lu, Yibo Zhu:
Discrete Cosin TransFormer: Image Modeling From Frequency Domain. WACV 2023: 5457-5467 - [i6]Xiaoyu Liu, Hanlin Lu, Jianbo Yuan, Xinyu Li:
CAT: Causal Audio Transformer for Audio Classification. CoRR abs/2303.07626 (2023) - [i5]Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang:
LEMON: Lossless model expansion. CoRR abs/2310.07999 (2023) - 2022
- [j3]Hanlin Lu
, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Communication-Efficient $k$k-Means for Edge-Based Machine Learning. IEEE Trans. Parallel Distributed Syst. 33(10): 2509-2523 (2022) - [i4]Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijay Narayanan, Kevin S. Chan, Stephen Pasteris:
Joint Coreset Construction and Quantization for Distributed Machine Learning. CoRR abs/2204.06652 (2022) - 2021
- [i3]Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Communication-efficient k-Means for Edge-based Machine Learning. CoRR abs/2102.04282 (2021) - 2020
- [j2]Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan:
Robust Coreset Construction for Distributed Machine Learning. IEEE J. Sel. Areas Commun. 38(10): 2400-2417 (2020) - [c4]Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Communication-efficient k-Means for Edge-based Machine Learning. ICDCS 2020: 595-605 - [c3]Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Joint Coreset Construction and Quantization for Distributed Machine Learning. Networking 2020: 172-180 - [i2]Hanlin Lu, Changchang Liu, Ting He, Shiqiang Wang, Kevin S. Chan:
Sharing Models or Coresets: A Study based on Membership Inference Attack. CoRR abs/2007.02977 (2020)
2010 – 2019
- 2019
- [j1]Lingyu Yan, Hanlin Lu, Chunzhi Wang, Zhiwei Ye, Hongwei Chen, Hefei Ling:
Deep linear discriminant analysis hashing for image retrieval. Multim. Tools Appl. 78(11): 15101-15119 (2019) - [c2]Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan:
Robust Coreset Construction for Distributed Machine Learning. GLOBECOM 2019: 1-6 - [i1]Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijay Narayanan, Kevin S. Chan:
Robust Coreset Construction for Distributed Machine Learning. CoRR abs/1904.05961 (2019) - 2012
- [r1]Hanlin Lu, Sheng Yu:
Statecharts. Handbook of Finite State Based Models and Applications 2012: 317-336 - 2010
- [e1]Yuan Gao, Hanlin Lu, Shinnosuke Seki, Sheng Yu:
Developments in Language Theory, 14th International Conference, DLT 2010, London, ON, Canada, August 17-20, 2010. Proceedings. Lecture Notes in Computer Science 6224, Springer 2010, ISBN 978-3-642-14454-7 [contents]
2000 – 2009
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