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; et al. (CISS, 2016)

Recurrent computations for visual pattern completion. - Hanlin Tang; Bill Lotter; Martin Schrimpf; Ana Paredes; Josue Ortega Caro; Walter Hardesty; David D. Cox; Gabriel Kreiman (CoRR, 2017)

Analysis on Convergence of Stochastic Processes in Cloud Computing Models. - Junhong Nie; Hanlin Tang; Jingxuan Wei (CIS, 2018)

D2: Decentralized Training over Decentralized Data. - Hanlin Tang; Xiangru Lian; Ming Yan 006; Ce Zhang 001; Ji Liu 002 (ICML, 2018)

Communication Compression for Decentralized Training. - Hanlin Tang; Shaoduo Gan; Ce Zhang 001; Tong Zhang 001; Ji Liu 002 (NeurIPS, 2018)

Decentralization Meets Quantization. - Hanlin Tang; Ce Zhang 001; Shaoduo Gan; Tong Zhang 001; Ji Liu 002 (CoRR, 2018)

Channel Attention Networks. - Alexei Bastidas; Hanlin Tang (CVPR Workshops, 2019)

Compact Scene Graphs for Layout Composition and Patch Retrieval. - Subarna Tripathi; Sharath Nittur Sridhar; Sairam Sundaresan; Hanlin Tang (CVPR Workshops, 2019)

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 (ICCV, 2019)

Triplet-Aware Scene Graph Embeddings. - Brigit Schroeder; Subarna Tripathi; Hanlin Tang (ICCV Workshops, 2019)

DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression. - Hanlin Tang; Chen Yu 009; Xiangru Lian; Tong Zhang 001; Ji Liu 002 (ICML, 2019)

Distributed Learning over Unreliable Networks. - Chen Yu 009; Hanlin Tang; Cédric Renggli; Simon Kassing; Ankit Singla; Dan Alistarh; Ce Zhang 001; Ji Liu 002 (ICML, 2019)

Untangling in Invariant Speech Recognition. - Cory Stephenson; Jenelle Feather; Suchismita Padhy; Oguz H. Elibol; Hanlin Tang; Josh H. McDermott; SueYeon Chung (NeurIPS, 2019)

Using Scene Graph Context to Improve Image Generation. - Subarna Tripathi; Anahita Bhiwandiwalla; Alexei Bastidas; Hanlin Tang (CoRR, 2019)

DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. - Hanlin Tang; Xiangru Lian; Tong Zhang 001; Ji Liu 002 (CoRR, 2019)

Amur Tiger Re-identification in the Wild. - Shuyuan Li; Jianguo Li; Weiyao Lin; Hanlin Tang (CoRR, 2019)

Generalization to Novel Objects using Prior Relational Knowledge. - Varun Kumar Vijay; Abhinav Ganesh; Hanlin Tang; Arjun K. Bansal (CoRR, 2019)

DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. - Hanlin Tang; Xiangru Lian; Shuang Qiu; Lei Yuan 001; Ce Zhang 001; Tong Zhang 001; Ji Liu 002 (CoRR, 2019)

Using Image Priors to Improve Scene Understanding. - Brigit Schroeder; Hanlin Tang; Alexandre Alahi (CoRR, 2019)

MLPerf Training Benchmark. - Peter Mattson; Christine Cheng; Cody Coleman; Greg Diamos; Paulius Micikevicius; David A. Patterson 001; Hanlin Tang; Gu-Yeon Wei; Peter Bailis; Victor Bittorf; David Brooks 001; Dehao Chen; et al. (CoRR, 2019)

Central Server Free Federated Learning over Single-sided Trust Social Networks. - Chaoyang He 001; Conghui Tan; Hanlin Tang; Shuang Qiu; Ji Liu 002 (CoRR, 2019)

Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain. - Barak Battash; Haim Barad; Hanlin Tang; Amit Bleiweiss (CVPR Workshops, 2020)

Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks. - Léopold Cambier; Anahita Bhiwandiwalla; Ting Gong; Oguz H. Elibol; Mehran Nekuii; Hanlin Tang (ICLR, 2020)

Emergence of Separable Manifolds in Deep Language Representations. - Jonathan Mamou; Hang Le 002; Miguel Del Rio; Cory Stephenson; Hanlin Tang; Yoon Kim; SueYeon Chung (ICML, 2020)

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; et al. (ISCA, 2020)

MLPerf Training Benchmark. - Peter Mattson; Christine Cheng; Gregory F. Diamos; Cody Coleman; Paulius Micikevicius; David A. Patterson 001; Hanlin Tang; Gu-Yeon Wei; Peter Bailis; Victor Bittorf; David Brooks 001; Dehao Chen; et al. (MLSys, 2020)

ATRW: A Benchmark for Amur Tiger Re-identification in the Wild. - Shuyuan Li; Jianguo Li; Hanlin Tang; Rui Qian 001; Weiyao Lin (ACM Multimedia, 2020)

A Span-Based Distantly Supervised NER with Self-learning. - Hongli Mao; Hanlin Tang; Wen Zhang; Heyan Huang; Xian-Ling Mao (NLPCC (1), 2020)

LSTM-based argument recommendation for non-API methods. - Guangjie Li; Hui Liu 003; Ge Li 001; Sijie Shen; Hanlin Tang (Sci. China Inf. Sci., 2020)

APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm. - Hanlin Tang; Shaoduo Gan; Samyam Rajbhandari; Xiangru Lian; Ji Liu 002; Yuxiong He; Ce Zhang 001 (CoRR, 2020)

MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance. - 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 001; Guenther Schmuelling (IEEE Micro, 2020)

What Did You Refer to? Evaluating Co-References in Dialogue. - Weinan Zhang 003; Yue Zhang 004; Hanlin Tang; Zhengyu Zhao 003; Caihai Zhu; Ting Liu 001 (ACL/IJCNLP (Findings), 2021)

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 (ICLR, 2021)

On the geometry of generalization and memorization in deep neural networks. - Cory Stephenson; Suchismita Padhy; Abhinav Ganesh; Yue Hui; Hanlin Tang; SueYeon Chung (ICLR, 2021)

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 002; Ce Zhang 001; Yuxiong He (ICML, 2021)

ErrorCompensatedX: error compensation for variance reduced algorithms. - Hanlin Tang; Yao Li 039; Ji Liu 002; Ming Yan 006 (NeurIPS, 2021)

Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. - Matteo Alleman; Jonathan Mamou; Miguel A. Del Rio; Hanlin Tang; Yoon Kim; SueYeon Chung (RepL4NLP@ACL-IJCNLP, 2021)

PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic. - Weicong Ding; Hanlin Tang; Jingshuo Feng; Lei Yuan 001; Sen Yang 004; Guangxu Yang; Jie Zheng; Jing Wang 050; Qiang Su; Dong Zheng; Xuezhong Qiu; Yongqi Liu; et al. (CoRR, 2021)

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 (HIPC, 2022)

MKQ-BERT: Quantized BERT with 4-bits Weights and Activations. - Hanlin Tang; Xipeng Zhang; Kai Liu; Jianchen Zhu; Zhanhui Kang (CoRR, 2022)

EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs. - Hanlin Tang; Yifu Sun; Decheng Wu; Kai Liu; Jianchen Zhu; Zhanhui Kang (EMNLP, 2023)

SQL#: A Language for Maintainable and Debuggable Database Queries. - Yamin Hu; Hao Jiang; Hanlin Tang; Xin Lin; Zongyao Hu (Int. J. Softw. Eng. Knowl. Eng., 2023)

Attribute-based multi-user collaborative searchable encryption in COVID-19. - Fan Zhao; Changgen Peng; Dequan Xu; Yicen Liu; Kun Niu; Hanlin Tang (Comput. Commun., 2023)

Span Graph Transformer for Document-Level Named Entity Recognition. - Hongli Mao; Xian-Ling Mao; Hanlin Tang; Yuming Shang; Heyan Huang (AAAI, 2024)

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 (IJCAI, 2024)

SPLICEGNN: SPLIt and ConnEct Tracklets in a Unified Graph Neural Network. - Hanlin Tang; Zimeng Fang; Junyang He; Xue Zhou (PRCV (12), 2024)

RazorAttention: Efficient KV Cache Compression Through Retrieval Heads. - Hanlin Tang; Yang Lin; Jing Lin; Qingsen Han; Shikuan Hong; Yiwu Yao; Gongyi Wang (CoRR, 2024)

RazorAttention: Efficient KV Cache Compression Through Retrieval Heads. - Hanlin Tang; Yang Lin; Jing Lin; Qingsen Han; Danning Ke; Shikuan Hong; Yiwu Yao; Gongyi Wang (ICLR, 2025)

DWTAT-DASIS: Fusion of discrete wavelet transform and access tree for distributed authentication in secret image sharing. - Chuanda Cai; Changgen Peng; Hanlin Tang; Bin Xiao; Weijie Tan (Comput. Stand. Interfaces, 2025)

A Flat Tree-based Transformer for Nested Named Entity Recognition. - Hongli Mao; Xian-Ling Mao; Hanlin Tang; Xiaoyan Gao; Chun Xu; Heyan Huang (Knowl. Based Syst., 2025)