Hanlin Tang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
12
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | RazorAttention: Efficient KV Cache Compression Through Retrieval Heads. | Hanlin Tang, Yang Lin, Jing Lin, Qingsen Han, Danning Ke, Shikuan Hong, Yiwu Yao, Gongyi Wang |
| 2024 | AAAI | Span Graph Transformer for Document-Level Named Entity Recognition. | Hongli Mao, Xian-Ling Mao, Hanlin Tang, Yuming Shang, Heyan Huang |
| 2024 | IJCAI | Span-based Unified Named Entity Recognition Framework via Contrastive Learning. | Hongli Mao, Xian-Ling Mao, Hanlin Tang, Yu-Ming Shang, Xiaoyan Gao, Ao-Jie Ma, Heyan Huang |
| 2023 | EMNLP | EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs. | Hanlin Tang, Yifu Sun, Decheng Wu, Kai Liu, Jianchen Zhu, Zhanhui Kang |
| 2022 | HiPC | 1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB's Convergence Speed. | Conglong Li, Ammar Ahmad Awan, Hanlin Tang, Samyam Rajbhandari, Yuxiong He |
| 2021 | ACL | What Did You Refer to? Evaluating Co-References in Dialogue. | Weinan Zhang, Yue Zhang, Hanlin Tang, Zhengyu Zhao, Caihai Zhu, Ting Liu |
| 2021 | ICLR | Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. | Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar |
| 2021 | ICLR | On the geometry of generalization and memorization in deep neural networks. | Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung |
| 2021 | ICML | 1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. | Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He |
| 2020 | CVPR | Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain. | Barak Battash, Haim Barad, Hanlin Tang, Amit Bleiweiss |
| 2020 | ICLR | Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks. | Lopold Cambier, Anahita Bhiwandiwalla, Ting Gong, Oguz H. Elibol, Mehran Nekuii, Hanlin Tang |
| 2020 | ICML | Emergence of Separable Manifolds in Deep Language Representations. | Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung |
| 2020 | ISCA | MLPerf Inference Benchmark. | 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 | CVPR | Channel Attention Networks. | Alexei Bastidas, Hanlin Tang |
| 2019 | CVPR | Compact Scene Graphs for Layout Composition and Patch Retrieval. | Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang |
| 2019 | ICCV | SpaceNet MVOI: A Multi-View Overhead Imagery Dataset. | Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Varun Kumar Vijay, Sean McPherson, Jacob Shermeyer, Hanlin Tang |
| 2019 | ICML | DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression. | Hanlin Tang, Chen Yu, Xiangru Lian, Tong Zhang, Ji Liu |
| 2019 | ICML | Distributed Learning over Unreliable Networks. | Chen Yu, Hanlin Tang, Cdric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ce Zhang, Ji Liu |
| 2018 | CIS | Analysis on Convergence of Stochastic Processes in Cloud Computing Models. | Junhong Nie, Hanlin Tang, Jingxuan Wei |
| 2018 | ICML | D | Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu |
| 2016 | CISS | A machine learning approach to predict episodic memory formation. | 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 |