Hanlin Tang - RankMe

61 papers A* 16Misc 2Journal 36Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Shiva-DiT: Residual-Based Differentiable Top- CoRR Jiaji Zhang, Hailiang Zhao, Guoxuan Zhu, Ruichao Sun, Jiaju Wu, Xinkui Zhao, Hanlin Tang, Weiyi Lu, Kan Liu, Tao Lan, Lin Qu, Shuiguang Deng
2025	J	`jnl`	DWTAT-DASIS: Fusion of discrete wavelet transform and access tree for distributed authentication in secret image sharing. Comput. Stand. Interfaces Chuanda Cai, Changgen Peng, Hanlin Tang, Bin Xiao, Weijie Tan
2025	J	`jnl`	Lightweight Traceable Data Circulation Encryption Scheme for Edge Computing. Concurr. Comput. Pract. Exp. Miao Li, Changgen Peng, Hai Liu, Hanlin Tang, Jin Niu, Chuanda Cai, Tao Zhang
2025	A*	`conf`	RazorAttention: Efficient KV Cache Compression Through Retrieval Heads. ICLR Hanlin Tang, Yang Lin, Jing Lin, Qingsen Han, Danning Ke, Shikuan Hong, Yiwu Yao, Gongyi Wang
2024	J	`jnl`	EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs. CoRR Hanlin Tang, Yifu Sun, Decheng Wu, Kai Liu, Jianchen Zhu, Zhanhui Kang
2024	J	`jnl`	RazorAttention: Efficient KV Cache Compression Through Retrieval Heads. CoRR Hanlin Tang, Yang Lin, Jing Lin, Qingsen Han, Shikuan Hong, Yiwu Yao, Gongyi Wang
2024	—	`conf`	SPLICEGNN: SPLIt and ConnEct Tracklets in a Unified Graph Neural Network. PRCV (12) Hanlin Tang, Zimeng Fang, Junyang He, Xue Zhou
2023	J	`jnl`	Attribute-based multi-user collaborative searchable encryption in COVID-19. Comput. Commun. Fan Zhao, Changgen Peng, Dequan Xu, Yicen Liu, Kun Niu, Hanlin Tang
2023	A*	`conf`	EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs. EMNLP Hanlin Tang, Yifu Sun, Decheng Wu, Kai Liu, Jianchen Zhu, Zhanhui Kang
2022	Misc	`conf`	1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB's Convergence Speed. HIPC Conglong Li, Ammar Ahmad Awan, Hanlin Tang, Samyam Rajbhandari, Yuxiong He
2022	J	`jnl`	MKQ-BERT: Quantized BERT with 4-bits Weights and Activations. CoRR Hanlin Tang, Xipeng Zhang, Kai Liu, Jianchen Zhu, Zhanhui Kang
2021	A*	`conf`	1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. ICML Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He
2021	J	`jnl`	1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. CoRR Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He
2021	J	`jnl`	1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB's Convergence Speed. CoRR Conglong Li, Ammar Ahmad Awan, Hanlin Tang, Samyam Rajbhandari, Yuxiong He
2021	A*	`conf`	ErrorCompensatedX: error compensation for variance reduced algorithms. NeurIPS Hanlin Tang, Yao Li, Ji Liu, Ming Yan
2021	J	`jnl`	ErrorCompensatedX: error compensation for variance reduced algorithms. CoRR Hanlin Tang, Yao Li, Ji Liu, Ming Yan
2021	A*	`conf`	On the geometry of generalization and memorization in deep neural networks. ICLR Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung
2021	J	`jnl`	On the geometry of generalization and memorization in deep neural networks. CoRR Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung
2021	A*	`conf`	Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. ICLR Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar
2021	J	`jnl`	PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic. CoRR 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
2021	—	`conf`	Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. RepL4NLP@ACL-IJCNLP Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung
2021	J	`jnl`	Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. CoRR Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung
2020	J	`jnl`	APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm. CoRR Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ji Liu, Yuxiong He, Ce Zhang
2020	A*	`conf`	ATRW: A Benchmark for Amur Tiger Re-identification in the Wild. ACM Multimedia Shuyuan Li, Jianguo Li, Hanlin Tang, Rui Qian, Weiyao Lin
2020	A*	`conf`	Emergence of Separable Manifolds in Deep Language Representations. ICML Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
2020	J	`jnl`	Emergence of Separable Manifolds in Deep Language Representations. CoRR Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
2020	A*	`conf`	MLPerf Inference Benchmark. ISCA 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
2020	—	`conf`	MLPerf Training Benchmark. MLSys 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
2020	J	`jnl`	MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance. IEEE Micro 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
2020	—	`conf`	Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain. CVPR Workshops Barak Battash, Haim Barad, Hanlin Tang, Amit Bleiweiss
2020	J	`jnl`	Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. CoRR Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Hanlin Tang, Shie Mannor, Tamir Hazan, Somdeb Majumdar
2020	A*	`conf`	Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks. ICLR Léopold Cambier, Anahita Bhiwandiwalla, Ting Gong, Oguz H. Elibol, Mehran Nekuii, Hanlin Tang
2020	J	`jnl`	Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks. CoRR Léopold Cambier, Anahita Bhiwandiwalla, Ting Gong, Mehran Nekuii, Oguz H. Elibol, Hanlin Tang
2020	J	`jnl`	Untangling in Invariant Speech Recognition. CoRR Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh H. McDermott, SueYeon Chung
2019	J	`jnl`	Amur Tiger Re-identification in the Wild. CoRR Shuyuan Li, Jianguo Li, Weiyao Lin, Hanlin Tang
2019	J	`jnl`	Central Server Free Federated Learning over Single-sided Trust Social Networks. CoRR Chaoyang He, Conghui Tan, Hanlin Tang, Shuang Qiu, Ji Liu
2019	—	`conf`	Channel Attention Networks. CVPR Workshops Alexei Bastidas, Hanlin Tang
2019	—	`conf`	Compact Scene Graphs for Layout Composition and Patch Retrieval. CVPR Workshops Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang
2019	J	`jnl`	Compact Scene Graphs for Layout Composition and Patch Retrieval. CoRR Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang
2019	J	`jnl`	DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. CoRR Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu
2019	A*	`conf`	Distributed Learning over Unreliable Networks. ICML Chen Yu, Hanlin Tang, Cédric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ce Zhang, Ji Liu
2019	J	`jnl`	DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. CoRR Hanlin Tang, Xiangru Lian, Tong Zhang, Ji Liu
2019	A*	`conf`	DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression. ICML Hanlin Tang, Chen Yu, Xiangru Lian, Tong Zhang, Ji Liu
2019	J	`jnl`	Generalization to Novel Objects using Prior Relational Knowledge. CoRR Varun Kumar Vijay, Abhinav Ganesh, Hanlin Tang, Arjun K. Bansal
2019	J	`jnl`	MLPerf Inference Benchmark. CoRR 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
2019	J	`jnl`	MLPerf Training Benchmark. CoRR 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
2019	J	`jnl`	Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain. CoRR Barak Battash, Haim Barad, Hanlin Tang, Amit Bleiweiss
2019	A*	`conf`	SpaceNet MVOI: A Multi-View Overhead Imagery Dataset. ICCV Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Varun Kumar Vijay, Sean McPherson, Jacob Shermeyer, Hanlin Tang
2019	J	`jnl`	SpaceNet MVOI: a Multi-View Overhead Imagery Dataset. CoRR Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Sean McPherson, Jacob Shermeyer, Varun Kumar Vijay, Hanlin Tang
2019	—	`conf`	Triplet-Aware Scene Graph Embeddings. ICCV Workshops Brigit Schroeder, Subarna Tripathi, Hanlin Tang
2019	J	`jnl`	Triplet-Aware Scene Graph Embeddings. CoRR Brigit Schroeder, Subarna Tripathi, Hanlin Tang
2019	A*	`conf`	Untangling in Invariant Speech Recognition. NeurIPS Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh H. McDermott, SueYeon Chung
2019	J	`jnl`	Using Image Priors to Improve Scene Understanding. CoRR Brigit Schroeder, Hanlin Tang, Alexandre Alahi
2019	J	`jnl`	Using Scene Graph Context to Improve Image Generation. CoRR Subarna Tripathi, Anahita Bhiwandiwalla, Alexei Bastidas, Hanlin Tang
2018	A*	`conf`	Communication Compression for Decentralized Training. NeurIPS Hanlin Tang, Shaoduo Gan, Ce Zhang, Tong Zhang, Ji Liu
2018	A*	`conf`	D ICML Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu
2018	J	`jnl`	D CoRR Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu
2018	J	`jnl`	Decentralization Meets Quantization. CoRR Hanlin Tang, Ce Zhang, Shaoduo Gan, Tong Zhang, Ji Liu
2018	J	`jnl`	Distributed Learning over Unreliable Networks. CoRR Hanlin Tang, Chen Yu, Cédric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ji Liu, Ce Zhang
2017	J	`jnl`	Recurrent computations for visual pattern completion. CoRR Hanlin Tang, Bill Lotter, Martin Schrimpf, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David D. Cox, Gabriel Kreiman
2016	Misc	`conf`	A machine learning approach to predict episodic memory formation. CISS 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