Hanlin Lu - RankMe

21 papers A* 2A 2B 2C 2Misc 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Fast Prompt Alignment for Text-to-Image Generation. CoRR Khalil Mrini, Hanlin Lu, Linjie Yang, Weilin Huang, Heng Wang
2024	A*	`conf`	LEMON: Lossless model expansion. ICLR Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang
2024	A*	`conf`	SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training. NeurIPS Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao
2024	J	`jnl`	SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training. CoRR Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao
2023	Misc	`conf`	CAT: Causal Audio Transformer for Audio Classification. ICASSP Xiaoyu Liu, Hanlin Lu, Jianbo Yuan, Xinyu Li
2023	J	`jnl`	CAT: Causal Audio Transformer for Audio Classification. CoRR Xiaoyu Liu, Hanlin Lu, Jianbo Yuan, Xinyu Li
2023	A	`conf`	Discrete Cosin TransFormer: Image Modeling From Frequency Domain. WACV Xinyu Li, Yanyi Zhang, Jianbo Yuan, Hanlin Lu, Yibo Zhu
2023	J	`jnl`	LEMON: Lossless model expansion. CoRR Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang
2022	J	`jnl`	Communication-Efficient $k$k-Means for Edge-Based Machine Learning. IEEE Trans. Parallel Distributed Syst. Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2022	J	`jnl`	Joint Coreset Construction and Quantization for Distributed Machine Learning. CoRR Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijay Narayanan, Kevin S. Chan, Stephen Pasteris
2021	J	`jnl`	Communication-efficient k-Means for Edge-based Machine Learning. CoRR Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2020	A	`conf`	Communication-efficient k-Means for Edge-based Machine Learning. ICDCS Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2020	B	`conf`	Joint Coreset Construction and Quantization for Distributed Machine Learning. Networking Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2020	J	`jnl`	Robust Coreset Construction for Distributed Machine Learning. IEEE J. Sel. Areas Commun. Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan
2020	J	`jnl`	Sharing Models or Coresets: A Study based on Membership Inference Attack. CoRR Hanlin Lu, Changchang Liu, Ting He, Shiqiang Wang, Kevin S. Chan
2019	J	`jnl`	Deep linear discriminant analysis hashing for image retrieval. Multim. Tools Appl. Lingyu Yan, Hanlin Lu, Chunzhi Wang, Zhiwei Ye, Hongwei Chen, Hefei Ling
2019	B	`conf`	Robust Coreset Construction for Distributed Machine Learning. GLOBECOM Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan
2019	J	`jnl`	Robust Coreset Construction for Distributed Machine Learning. CoRR Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijay Narayanan, Kevin S. Chan
2012	—	`ch.`	Statecharts. Handbook of Finite State Based Models and Applications Hanlin Lu, Sheng Yu
2010	C	`ed.`	Developments in Language Theory, 14th International Conference, DLT 2010, London, ON, Canada, August 17-20, 2010. Proceedings Developments in Language Theory Yuan Gao, Hanlin Lu, Shinnosuke Seki, Sheng Yu
2009	C	`conf`	Are Statecharts Finite Automata? CIAA Hanlin Lu, Sheng Yu