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Publication search results
found 152 matches
- 2025
- Franck Cappello, Mario C. Acosta, Emmanuel Agullo, Hartwig Anzt, Jon Calhoun, Sheng Di, Luc Giraud, Thomas Grützmacher, Sian Jin, Kentaro Sano, Kento Sato, Amarjit Singh, Dingwen Tao, Jiannan Tian, Tomohiro Ueno, Robert Underwood, Frédéric Vivien, Xavier Yepes, Kazutomo Yoshii, Boyuan Zhang:
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. Future Gener. Comput. Syst. 163: 107323 (2025) - 2024
- Yi Wu, Sian Chen, Yuan Jin, Huiming Xu, Xin Zhou, Xiao Wang, Adrian Chong, Jin Li, Da Yan:
Novel occupancy detection method based on convolutional neural network model using PIR sensor and smart meter data. Adv. Eng. Informatics 62: 102589 (2024) - Zhijun Teng, Sian Zhu, Mingzhe Li, Libo Yu, Jinliang Gu, Liwen Guo:
Wireless sensor network security defense strategy based on Bayesian reputation evaluation model. IET Commun. 18(1): 55-62 (2024) - Jing Zhou, Teng Xing Lin, Zixin Gong, Xinhan Huang:
SIANet: 3D object detection with structural information augment network. IET Comput. Vis. 18(5): 682-695 (2024) - Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello:
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. Proc. ACM Manag. Data 2(1): 4:1-4:27 (2024) - Wei Tian, Ping Song, Yuanyuan Chen, Haifeng Xu, Cheng Jin, Kenny Thiam Choy Lim Kam Sian:
Short-Term Intensity Prediction of Tropical Cyclones Based on Multi-Source Data Fusion with Adaptive Weight Learning. Remote. Sens. 16(6): 984 (2024) - Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao:
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. IEEE Trans. Parallel Distributed Syst. 35(3): 421-438 (2024) - Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Antonette Shibani, Disha Shrivastava, Lila Shroff, Agnia Sergeyuk, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Zejiang Shen, Pao Siangliulue:
A Design Space for Intelligent and Interactive Writing Assistants. CHI 2024: 1054:1-1054:35 - Yang Shi, Xiangyu Zou, Xinyu Chen, Sian Jin, Dingwen Tao, Cai Deng, Yufan Chen, Wen Xia:
Machete: An Efficient Lossy Floating-Point Compressor Designed for Time Series Databases. DCC 2024: 532-541 - Jian-Sian Li, Hsiao-Hsuan Wan, Chao-Ching Chiang, Timothy Jinsoo Yoo, Meng-Hsun Yu, Fan Ren, Honggyu Kim, Yu-Te Liao, Stephen J. Pearton:
Demonstration of Record Breakdown up to 13.5 kV in NiO/β-Ga2O3 Vertical Rectifiers. DRC 2024: 1-2 - Sian Jin, Sheng Di, Frédéric Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello:
Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling. EuroSys 2024: 981-998 - Wenqi Jia, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin:
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data. FlexScience@HPDC 2024: 34-41 - Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia H. Rho, Shannon Zejiang Shen, Pao Siangliulue:
A Design Space for Intelligent and Interactive Writing Assistants. CoRR abs/2403.14117 (2024) - Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello:
A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR abs/2404.02840 (2024) - Wenqi Jia, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin:
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data. CoRR abs/2404.13470 (2024) - Pengwei Xie, Rui Chen, Siang Chen, Yuzhe Qin, Fanbo Xiang, Tianyu Sun, Jing Xu, Guijin Wang, Hao Su:
Part-Guided 3D RL for Sim2Real Articulated Object Manipulation. CoRR abs/2404.17302 (2024) - Liu Cao, Lyutianyang Zhang, Sumit Roy, Sian Jin:
Revisiting Multi-User Downlink in IEEE 802.11ax: A Designers Guide to MU-MIMO. CoRR abs/2406.05913 (2024) - Yixiao Ma, Jingsong Liang, Yuhong Cao, Derek Ming Siang Tan, Guillaume Sartoretti:
Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot Exploration. CoRR abs/2407.20203 (2024) - Derek Ming Siang Tan, Yixiao Ma, Jingsong Liang, Yi Cheng Chng, Yuhong Cao, Guillaume Sartoretti:
IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity. CoRR abs/2409.04730 (2024) - Wenqi Jia, Youyuan Liu, Zhewen Hu, Jinzhen Wang, Boyuan Zhang, Wei Niu, Junzhou Huang, Stavros Kalafatis, Sian Jin, Miao Yin:
NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data. CoRR abs/2409.05785 (2024) - 2023
- Pengwei Xie, Rui Chen, Siang Chen, Yuzhe Qin, Fanbo Xiang, Tianyu Sun, Jing Xu, Guijin Wang, Hao Su:
Part-Guided 3D RL for Sim2Real Articulated Object Manipulation. IEEE Robotics Autom. Lett. 8(11): 7178-7185 (2023) - Haoyu Jin, Donglei Wu, Shuyu Zhang, Xiangyu Zou, Sian Jin, Dingwen Tao, Qing Liao, Wen Xia:
Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning. IEEE Trans. Parallel Distributed Syst. 34(3): 923-937 (2023) - Liu Cao, Lyutianyang Zhang, Sian Jin, Sumit Roy:
Efficient MIMO PHY Abstraction With Imperfect CSI for Fast Simulations. IEEE Wirel. Commun. Lett. 12(3): 530-534 (2023) - Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. IEEE Big Data 2023: 229-236 - Sian Jin, Pu Wang, Petros Boufounos, Ryuhei Takahashi, Sumit Roy:
Spatial-Domain Object Detection Under Mimo-Fmcw Automotive Radar Interference. ICASSP 2023: 1-5 - Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello:
LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. SC Workshops 2023: 272-280 - Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukic, Franck Cappello, James P. Ahrens, Dingwen Tao:
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. SC 2023: 44:1-44:15 - Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao:
TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. CoRR abs/2301.01901 (2023) - Sian Jin, Pu Wang, Petros Boufounos, Philip V. Orlik, Ryuhei Takahashi, Sumit Roy:
Mutual Interference Mitigation for MIMO-FMCW Automotive Radar. CoRR abs/2304.03177 (2023) - Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Zarija Lukic, Kai Zhao, Bo Fang, Franck Cappello, James P. Ahrens, Dingwen Tao:
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. CoRR abs/2307.09609 (2023)
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