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23 Aug 2024
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SERC
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Institute of High Performance Computing
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A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design (Pending publish)
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Manna Dai,
Yang Jiang,
Feng Yang,
Joyjit Chattoraj,
Yingzhi Xia,
Xinxing Xu,
Weijiang Zhao,
My Ha Dao,
Yong Liu
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Neural Networks
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30 Jul 2024
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SERC
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Institute for Infocomm Research
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Unsupervised Latent Regression through Information Maximization - Contrastive Regularized GAN (Pending publish)
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Vicky Sintunata,
Siying Liu,
Dinh Nguyen Van,
Zhao Yong Lim,
Ryan Lee Zhikuan,
Yue Wang,
Jack Ho Jun Feng,
Karianto Leman
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2024 IEEE Conference on Artificial Intelligence (CAI)
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26 Jun 2024
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SERC
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Science and Engineering Research Council
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A Spatiotemporal Excitation Classifier Head for Action Recognition Applications (Pending publish)
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Dinh NguyenVan,
Siying Liu,
Vicky Sintunata,
Yue Wang,
Jack Ho,
ZhaoYong Lim,
Ryan Lee,
Karianto Leman
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IEEE Conference on Artificial Intelligence
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18 Mar 2024
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SERC
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Institute of Microelectronics
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Assembly process characterization of 3D Stacking of Heterogeneous Chiplets (Pending publish)
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Sharon Pei Siang Lim,
Boon Long Lau,
Tai Chong Chai,
Yong Liang Ye
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2023 IEEE 25th Electronics Packaging Technology Conference (EPTC)
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18 Mar 2024
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SERC
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Institute of Microelectronics
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Transient Thermal Characterization and Analysis for Next Generation SiC Power Module (Pending publish)
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Gongyue Tang,
Yong Liang Ye,
Leong Ching Wai,
Yong Han
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2023 IEEE 25th Electronics Packaging Technology Conference (EPTC)
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11 Mar 2024
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SERC
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Singapore Institute of Manufacturing Technology
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Tailoring short-range order and dislocation evolution in Cr–Co–Ni medium-entropy alloys: A molecular dynamics study
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Asker Jarlöv,
Weiming Ji,
Rita Babicheva,
Yujia Tian,
Zhiheng Hu,
Hang Li Seet,
Liming Tan,
Feng Liu,
Yong Liu,
Mui Ling Sharon Nai,
Upadrasta Ramamurty,
Kun Zhou
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Materials & Design
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24 Oct 2023
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SERC
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Institute of High Performance Computing
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Uncertainty-inspired open set learning for retinal anomaly identification
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Meng Wang,
Tian Lin,
Lianyu Wang,
Aidi Lin,
Ke Zou,
Xinxing Xu,
Yi Zhou,
Yuanyuan Peng,
Qingquan Meng,
Yiming Qian,
Guoyao Deng,
Zhiqun Wu,
Junhong Chen,
Jianhong Lin,
Mingzhi Zhang,
Weifang Zhu,
Changqing Zhang,
Daoqiang Zhang,
Rick Siow Mong Goh,
Yong Liu,
Chi Pui Pang,
Xinjian Chen,
Haoyu Chen,
Huazhu Fu
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Nature Communications
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30 Sep 2023
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SERC
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Institute of High Performance Computing
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Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory
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Yanyu Xu,
Menghan Zhou,
Yangqin Feng,
Xinxing Xu,
Huazhu Fu,
Rick Siow Mong Goh,
Yong Liu
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Lecture Notes in Computer Science
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30 Sep 2023
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SERC
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Institute of High Performance Computing
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Category-Independent Visual Explanation for Medical Deep Network Understanding
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Yiming Qian,
Liangzhi Li,
Huazhu Fu,
Meng Wang,
Qingsheng Peng,
Yih Chung Tham,
Chingyu Cheng,
Yong Liu,
Rick Siow Mong Goh,
Xinxing Xu
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Lecture Notes in Computer Science
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17 Jul 2023
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SERC
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Institute of High Performance Computing
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Federated benchmarking of medical artificial intelligence with MedPerf
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Alexandros Karargyris,
Renato Umeton,
Micah J. Sheller,
Alejandro Aristizabal,
Johnu George,
Anna Wuest,
Sarthak Pati,
Hasan Kassem,
Maximilian Zenk,
Ujjwal Baid,
Prakash Narayana Moorthy,
Alexander Chowdhury,
Junyi Guo,
Sahil Nalawade,
Jacob Rosenthal,
David Kanter,
Maria Xenochristou,
Daniel J. Beutel,
Verena Chung,
Timothy Bergquist,
James Eddy,
Abubakar Abid,
Lewis Tunstall,
Omar Sanseviero,
Dimitrios Dimitriadis,
Yiming Qian,
Xinxing Xu,
Yong Liu,
Rick Siow Mong Goh,
Srini Bala,
Victor Bittorf,
Sreekar Reddy Puchala,
Biagio Ricciuti,
Soujanya Samineni,
Eshna Sengupta,
Akshay Chaudhari,
Cody Coleman,
Bala Desinghu,
Gregory Diamos,
Debo Dutta,
Diane Feddema,
Grigori Fursin,
Xinyuan Huang,
Satyananda Kashyap,
Nicholas Lane,
Indranil Mallick,
Pietro Mascagni,
Virendra Mehta,
Cassiano Ferro Moraes,
Vivek Natarajan,
Nikola Nikolov,
Nicolas Padoy,
Gennady Pekhimenko,
Vijay Janapa Reddi,
G. Anthony Reina,
Pablo Ribalta,
Abhishek Singh,
Jayaraman J. Thiagarajan,
Jacob Albrecht,
Thomas Wolf,
Geralyn Miller,
Huazhu Fu,
Prashant Shah,
Daguang Xu,
Poonam Yadav,
David Talby,
Mark M. Awad,
Jeremy P. Howard,
Michael Rosenthal,
Luigi Marchionni,
Massimo Loda,
Jason M. Johnson,
Spyridon Bakas,
Peter Mattson
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Nature Machine Intelligence
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