Hanlin Tang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 62

Top Topics

Phrase Structure

Scene Understanding

Distributed Learning

Top Venues

Publications

Hanlin Tang, Yifu Sun, Decheng Wu, Kai Liu, Jianchen Zhu, Zhanhui Kang
EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs. CoRR (2024)
Hongli Mao, Xian-Ling Mao, Hanlin Tang, Yuming Shang, Heyan Huang
Span Graph Transformer for Document-Level Named Entity Recognition. AAAI (2024)
Hanlin Tang, Yang Lin, Jing Lin, Qingsen Han, Shikuan Hong, Yiwu Yao, Gongyi Wang
RazorAttention: Efficient KV Cache Compression Through Retrieval Heads. CoRR (2024)
Yamin Hu, Hao Jiang, Hanlin Tang, Xin Lin, Zongyao Hu
SQL#: A Language for Maintainable and Debuggable Database Queries. Int. J. Softw. Eng. Knowl. Eng. 33 (5) (2023)
Hanlin Tang, Yifu Sun, Decheng Wu, Kai Liu, Jianchen Zhu, Zhanhui Kang
EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs. EMNLP (2023)
Fan Zhao, Changgen Peng, Dequan Xu, Yicen Liu, Kun Niu, Hanlin Tang
Attribute-based multi-user collaborative searchable encryption in COVID-19. Comput. Commun. 205 (2023)
Hanlin Tang, Xipeng Zhang, Kai Liu, Jianchen Zhu, Zhanhui Kang
MKQ-BERT: Quantized BERT with 4-bits Weights and Activations. CoRR (2022)
Conglong Li, Ammar Ahmad Awan, Hanlin Tang, Samyam Rajbhandari, Yuxiong He
1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB's Convergence Speed. HIPC (2022)
Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung
On the geometry of generalization and memorization in deep neural networks. CoRR (2021)
Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen Yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu
PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic. CoRR (2021)
Hanlin Tang, Yao Li, Ji Liu, Ming Yan
ErrorCompensatedX: error compensation for variance reduced algorithms. NeurIPS (2021)
Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. ICLR (2021)
Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. CoRR (2021)
Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung
On the geometry of generalization and memorization in deep neural networks. ICLR (2021)
Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. ICML (2021)
Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. CoRR (2021)
Conglong Li, Ammar Ahmad Awan, Hanlin Tang, Samyam Rajbhandari, Yuxiong He
1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB's Convergence Speed. CoRR (2021)
Hanlin Tang, Yao Li, Ji Liu, Ming Yan
ErrorCompensatedX: error compensation for variance reduced algorithms. CoRR (2021)
Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. RepL4NLP@ACL-IJCNLP (2021)
Weinan Zhang, Yue Zhang, Hanlin Tang, Zhengyu Zhao, Caihai Zhu, Ting Liu
What Did You Refer to? Evaluating Co-References in Dialogue. ACL/IJCNLP (Findings) (2021)
Hongli Mao, Hanlin Tang, Wen Zhang, Heyan Huang, Xian-Ling Mao
A Span-Based Distantly Supervised NER with Self-learning. NLPCC (1) (2020)
Shuyuan Li, Jianguo Li, Hanlin Tang, Rui Qian, Weiyao Lin
ATRW: A Benchmark for Amur Tiger Re-identification in the Wild. ACM Multimedia (2020)
Barak Battash, Haim Barad, Hanlin Tang, Amit Bleiweiss
Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain. CVPR Workshops (2020)
Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
Emergence of Separable Manifolds in Deep Language Representations. ICML (2020)
Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
Emergence of Separable Manifolds in Deep Language Representations. CoRR (2020)
Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ji Liu, Yuxiong He, Ce Zhang
APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm. CoRR (2020)
Léopold Cambier, Anahita Bhiwandiwalla, Ting Gong, Mehran Nekuii, Oguz H. Elibol, Hanlin Tang
Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks. CoRR (2020)
Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou
MLPerf Inference Benchmark. ISCA (2020)
Guangjie Li, Hui Liu, Ge Li, Sijie Shen, Hanlin Tang
LSTM-based argument recommendation for non-API methods. Sci. China Inf. Sci. 63 (9) (2020)
Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Hanlin Tang, Shie Mannor, Tamir Hazan, Somdeb Majumdar
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. CoRR (2020)
Peter Mattson, Hanlin Tang, Gu-Yeon Wei, Carole-Jean Wu, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg Diamos, David Kanter, Paulius Micikevicius, David A. Patterson, Guenther Schmuelling
MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance. IEEE Micro 40 (2) (2020)
Peter Mattson, Christine Cheng, Gregory F. Diamos, Cody Coleman, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debo Dutta, Udit Gupta, Kim M. Hazelwood, Andy Hock, Xinyuan Huang, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia
MLPerf Training Benchmark. MLSys (2020)
Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh McDermott, SueYeon Chung
Untangling in Invariant Speech Recognition. CoRR (2020)
Léopold Cambier, Anahita Bhiwandiwalla, Ting Gong, Oguz H. Elibol, Mehran Nekuii, Hanlin Tang
Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks. ICLR (2020)
Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim M. Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia
MLPerf Training Benchmark. CoRR (2019)
Varun Kumar Vijay, Abhinav Ganesh, Hanlin Tang, Arjun K. Bansal
Generalization to Novel Objects using Prior Relational Knowledge. CoRR (2019)
Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang
Compact Scene Graphs for Layout Composition and Patch Retrieval. CoRR (2019)
Chen Yu, Hanlin Tang, Cédric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ce Zhang, Ji Liu
Distributed Learning over Unreliable Networks. ICML (2019)
Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh McDermott, SueYeon Chung
Untangling in Invariant Speech Recognition. NeurIPS (2019)
Brigit Schroeder, Hanlin Tang, Alexandre Alahi
Using Image Priors to Improve Scene Understanding. CoRR (2019)
Brigit Schroeder, Subarna Tripathi, Hanlin Tang
Triplet-Aware Scene Graph Embeddings. CoRR (2019)
Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou
MLPerf Inference Benchmark. CoRR (2019)
Barak Battash, Haim Barad, Hanlin Tang, Amit Bleiweiss
Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain. CoRR (2019)
Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Sean McPherson, Jacob Shermeyer, Varun Kumar Vijay, Hanlin Tang
SpaceNet MVOI: a Multi-View Overhead Imagery Dataset. CoRR (2019)
Hanlin Tang, Xiangru Lian, Tong Zhang, Ji Liu
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. CoRR (2019)
Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Varun Kumar Vijay, Sean McPherson, Jacob Shermeyer, Hanlin Tang
SpaceNet MVOI: A Multi-View Overhead Imagery Dataset. ICCV (2019)
Subarna Tripathi, Anahita Bhiwandiwalla, Alexei Bastidas, Hanlin Tang
Using Scene Graph Context to Improve Image Generation. CoRR (2019)
Brigit Schroeder, Subarna Tripathi, Hanlin Tang
Triplet-Aware Scene Graph Embeddings. ICCV Workshops (2019)
Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang
Compact Scene Graphs for Layout Composition and Patch Retrieval. CVPR Workshops (2019)
Hanlin Tang, Chen Yu, Xiangru Lian, Tong Zhang, Ji Liu
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression. ICML (2019)
Alexei Bastidas, Hanlin Tang
Channel Attention Networks. CVPR Workshops (2019)
Shuyuan Li, Jianguo Li, Weiyao Lin, Hanlin Tang
Amur Tiger Re-identification in the Wild. CoRR (2019)
Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu
DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. CoRR (2019)
Chaoyang He, Conghui Tan, Hanlin Tang, Shuang Qiu, Ji Liu
Central Server Free Federated Learning over Single-sided Trust Social Networks. CoRR (2019)
Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu
: Decentralized Training over Decentralized Data. CoRR (2018)
Hanlin Tang, Chen Yu, Cédric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ji Liu, Ce Zhang
Distributed Learning over Unreliable Networks. CoRR (2018)
Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu
: Decentralized Training over Decentralized Data. ICML (2018)
Junhong Nie, Hanlin Tang, Jingxuan Wei
Analysis on Convergence of Stochastic Processes in Cloud Computing Models. CIS (2018)
Hanlin Tang, Shaoduo Gan, Ce Zhang, Tong Zhang, Ji Liu
Communication Compression for Decentralized Training. NeurIPS (2018)
Hanlin Tang, Ce Zhang, Shaoduo Gan, Tong Zhang, Ji Liu
Decentralization Meets Quantization. CoRR (2018)
Hanlin Tang, Bill Lotter, Martin Schrimpf, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David D. Cox, Gabriel Kreiman
Recurrent computations for visual pattern completion. CoRR (2017)
Hanlin Tang, Jedediah Singer, Matias Ison, Gnel Pivazyan, Melissa Romaine, Elizabeth Meller, Victoria Perron, Marlise Arlellano, Gabriel Kreiman, Adriana Boulin, Rosa Frias, James Carroll, Sarah Dowcett
A machine learning approach to predict episodic memory formation. CISS (2016)