- Date: March 27, 2023
Awarded to: Yukimasa Nagai, Takenori Sumi, Jianlin Guo, Philip Orlik, Hiroshi Mineno
MERL Contacts: Jianlin Guo; Philip V. Orlik; Kieran Parsons
Research Areas: Communications, Signal Processing
Brief - MELCO/MERL research paper “IEEE 802.19.3 Standardization for Coexistence of IEEE 802.11ah and IEEE 802.15.4g Systems in Sub-1GHz Frequency Bands” has won the Best Paper Award of the 2022 IPSJ Transactions on Consumer Devices and Systems. The Information Processing Society of Japan (IPSJ) award was established in 1970 and is conferred on the authors of particularly excellent papers, which are published in the IPSJ journals and transactions. Our paper was published by the IPSJ Transaction on Consumer Device and System Vol. 29 in 2021 and authors are Yukimasa Nagai, Takenori Sumi, Jianlin Guo, Philip Orlik and Hiroshi Mineno.
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- Date: December 15, 2022 - December 17, 2022
MERL Contacts: Jianlin Guo; Philip V. Orlik; Kieran Parsons
Research Areas: Artificial Intelligence, Data Analytics, Machine Learning
Brief - The performance of manufacturing systems is heavily affected by downtime – the time period that the system halts production due to system failure, anomalous operation, or intrusion. Therefore, it is crucial to detect and diagnose anomalies to allow predictive maintenance or intrusion detection to reduce downtime. This talk, titled "Anomaly detection and diagnosis in manufacturing systems using autoencoder", focuses on tackling the challenges arising from predictive maintenance in manufacturing systems. It presents a structured autoencoder and a pre-processed autoencoder for accurate anomaly detection, as well as a statistical-based algorithm and an autoencoder-based algorithm for anomaly diagnosis.
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- Date: December 2, 2022
MERL Contacts: Toshiaki Koike-Akino; Kieran Parsons; Pu (Perry) Wang; Ye Wang
Research Areas: Artificial Intelligence, Computational Sensing, Machine Learning, Signal Processing, Human-Computer Interaction
Brief - Mitsubishi Electric Corporation announced its development of a quantum artificial intelligence (AI) technology that automatically optimizes inference models to downsize the scale of computation with quantum neural networks. The new quantum AI technology can be integrated with classical machine learning frameworks for diverse solutions.
Mitsubishi Electric has confirmed that the technology can be incorporated in the world's first applications for terahertz (THz) imaging, Wi-Fi indoor monitoring, compressed sensing, and brain-computer interfaces. The technology is based on recent research by MERL's Connectivity & Information Processing team and Computational Sensing team.
Mitsubishi Electric's new quantum machine learning (QML) technology realizes compact inference models by fully exploiting the enormous capacity of quantum computers to express exponentially larger-state space with the number of quantum bits (qubits). In a hybrid combination of both quantum and classical AI, the technology can compensate for limitations of classical AI to achieve superior performance while significantly downsizing the scale of AI models, even when using limited data.
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- Date: December 2, 2022 - December 8, 2022
MERL Contacts: Matthew Brand; Toshiaki Koike-Akino; Jing Liu; Saviz Mowlavi; Kieran Parsons; Ye Wang
Research Areas: Artificial Intelligence, Control, Dynamical Systems, Machine Learning, Signal Processing
Brief - In addition to 5 papers in recent news (https://www.merl.com/news/news-20221129-1450), MERL researchers presented 2 papers at the NeurIPS Conference Workshop, which was held Dec. 2-8. NeurIPS is one of the most prestigious and competitive international conferences in machine learning.
- “Optimal control of PDEs using physics-informed neural networks” by Saviz Mowlavi and Saleh Nabi
Physics-informed neural networks (PINNs) have recently become a popular method for solving forward and inverse problems governed by partial differential equations (PDEs). By incorporating the residual of the PDE into the loss function of a neural network-based surrogate model for the unknown state, PINNs can seamlessly blend measurement data with physical constraints. Here, we extend this framework to PDE-constrained optimal control problems, for which the governing PDE is fully known and the goal is to find a control variable that minimizes a desired cost objective. We validate the performance of the PINN framework by comparing it to state-of-the-art adjoint-based optimization, which performs gradient descent on the discretized control variable while satisfying the discretized PDE.
- “Learning with noisy labels using low-dimensional model trajectory” by Vasu Singla, Shuchin Aeron, Toshiaki Koike-Akino, Matthew E. Brand, Kieran Parsons, Ye Wang
Noisy annotations in real-world datasets pose a challenge for training deep neural networks (DNNs), detrimentally impacting generalization performance as incorrect labels may be memorized. In this work, we probe the observations that early stopping and low-dimensional subspace learning can help address this issue. First, we show that a prior method is sensitive to the early stopping hyper-parameter. Second, we investigate the effectiveness of PCA, for approximating the optimization trajectory under noisy label information. We propose to estimate the low-rank subspace through robust and structured variants of PCA, namely Robust PCA, and Sparse PCA. We find that the subspace estimated through these variants can be less sensitive to early stopping, and can outperform PCA to achieve better test error when trained on noisy labels.
- In addition, new MERL researcher, Jing Liu, also presented a paper entitled “CoPur: Certifiably Robust Collaborative Inference via Feature Purification" based on his previous work before joining MERL. His paper was elected as a spotlight paper to be highlighted in lightening talks and featured paper panel.
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- Date: May 16, 2022 - May 20, 2022
Where: Seoul, Korea
MERL Contacts: Jianlin Guo; Toshiaki Koike-Akino; Philip V. Orlik; Kieran Parsons; Pu (Perry) Wang; Ye Wang
Research Areas: Artificial Intelligence, Communications, Computational Sensing, Computer Vision, Machine Learning, Signal Processing
Brief - MERL Connectivity & Information Processing Team scientists remotely presented 5 papers at the IEEE International Conference on Communications (ICC) 2022, held in Seoul Korea on May 16-20, 2022. Topics presented include recent advancements in communications technologies, deep learning methods, and quantum machine learning (QML). Presentation videos are also found on our YouTube channel. In addition, K. J. Kim organized "Industrial Private 5G-and-beyond Wireless Networks Workshop" at the conference.
IEEE ICC is one of two IEEE Communications Society’s flagship conferences (ICC and Globecom). Each year, close to 2,000 attendees from over 70 countries attend IEEE ICC to take advantage of a program which consists of exciting keynote session, robust technical paper sessions, innovative tutorials and workshops, and engaging industry sessions. This 5-day event is known for bringing together audiences from both industry and academia to learn about the latest research and innovations in communications and networking technology, share ideas and best practices, and collaborate on future projects.
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- Date: March 8, 2020 - March 13, 2020
MERL Contacts: Devesh K. Jha; Toshiaki Koike-Akino; Kieran Parsons; Ye Wang
Research Areas: Communications, Electronic and Photonic Devices, Machine Learning, Signal Processing
Brief - Due to COVID-19, MERL Optical Team scientists remotely presented 5 papers including 2 invited talks at the Optical Fiber Communications Conference (OFC) 2020, that was held in San Diego from March 8-13, 2020. Topics presented include recent advances in quantum signal processing, channel coding design, nano-optic power splitter, and deep learning-based integrated photonics. In addition, Dr. Kojima gave an invited workshop talk on deep learning-based nano-photonic device optimization.
OFC is the largest global conference and exhibition for optical communications and networking professionals. The program is comprehensive from research to marketplace, from components to systems and networks and from technical sessions to the exhibition. For over 40 years, OFC has drawn attendees from all corners of the globe to meet and greet, teach and learn, make connections and move the industry forward. The five-day technical conference features peer reviewed presentations and more than 180 invited speakers, the thought leaders in the industry presenting the highlights of emerging technologies. Additional technical programming throughout the week includes special symposia, special sessions, in-depth tutorials, workshops, panels and the thought-provoking rump session.
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- Date: September 22, 2019 - September 26, 2019
MERL Contacts: Devesh K. Jha; Toshiaki Koike-Akino; Kieran Parsons; Ye Wang
Research Areas: Artificial Intelligence, Communications, Electronic and Photonic Devices, Optimization, Signal Processing
Brief - MERL Optical Team scientists will be presenting 5 papers including 2 invited talks at the 45th European Conference on Optical Communication (ECOC) 2019, which is being held in Dublin from September 22-26, 2019. Topics to be presented include recent advances in sophisticated constellation shaping schemes, lattice coding, and deep learning-based turbo equalization to mitigate fiber nonlinearity. Dr. Kojima is giving an invited workshop talk on deep learning-based nano-photonic device optimization. Dr. Tobias Fehenberger, a former Visiting Scientist is giving an invited talk related to our joint paper "Mapping Strategies for Short-Length Probabilistic Shaping"
ECOC is the largest optical communications event in Europe and a key meeting place for more than 1,500 scientists and researchers from institutions and companies across the world. The conference features more than 400 oral and poster presentations from various major telecoms industries and universities. As well as being one of the largest scientific conferences globally, ECOC also features Europe’s largest optical communications exhibition.
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- Date: July 9, 2019
MERL Contacts: Toshiaki Koike-Akino; Kieran Parsons; Ye Wang
Research Area: Communications
Brief - MERL researchers presented an invited talk at OptElectronics and Communications Conference (OECC), held at Fukuoka, Japan. The speech focused on recent advancement of error correction coding based on polar codes and suited for hardware implementation in high-speed optical communications.
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- Date: February 4, 2019
Where: Scientific Reports, open-access journal from Nature Research
MERL Contacts: Devesh K. Jha; Toshiaki Koike-Akino; Chungwei Lin; Kieran Parsons; Bingnan Wang
Research Areas: Artificial Intelligence, Electronic and Photonic Devices, Machine Learning
Brief - MERL researchers developed a novel design method enhanced by modern deep learning techniques for optimizing photonic integrated circuits (PIC). The developed technique employs residual deep neural networks (DNNs) to understand physics underlaying complicated lightwave propagations through nano-structured photonic devices. It was demonstrated that the trained DNN achieves excellent prediction to design power splitting nanostructures having various target power ratios. The work was published in Scientific Reports, which is an online open access journal from Nature Research, having high-impact articles in the research community.
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- Date: March 3, 2019 - March 7, 2019
Where: San Diego, CA
MERL Contacts: Devesh K. Jha; Toshiaki Koike-Akino; Chungwei Lin; Kieran Parsons; Bingnan Wang; Ye Wang
Research Areas: Communications, Machine Learning, Optimization, Signal Processing
Brief - MERL researchers are presenting 4 papers at the OSA Optical Fiber Conference (OFC), which is being held in San Diego from March 3-7, 2019. Topics to be presented include recent advances in nonbinary polar codes, joint polar-coded shaping, and deep learning-based photonics circuit design. Additionally, recent work on multiset-partition distribution matching is presented as an invited talk.
OFC is the flagship conference of the OSA, and the world's most comprehensive technical conference focused on the research advances and latest technological development in optics and photonics. The event attracts more than 10000 participants each year.
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- Date: July 2, 2018 - July 5, 2018
Where: Advanced Photonics Congress 2018
MERL Contacts: Toshiaki Koike-Akino; Kieran Parsons; Ye Wang
Research Areas: Communications, Signal Processing
Brief - Three papers from the Optical Communication team were presented at Advanced Photonics Congress, held at ETH Switzerland from 2-5 July 2018. One of the papers was an invited talk of MERL's recent advancement in high-speed reliable coded modulation schemes based on polar coding. The other papers are related to fiber nonlinearity mitigation techniques based on pulse-shaping filter optimization and deep neural networks.
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- Date: March 11, 2018 - March 15, 2018
Where: Optical Fiber Communication Conference and Exhibition (OFC)
MERL Contacts: Toshiaki Koike-Akino; Kieran Parsons
Research Areas: Communications, Electronic and Photonic Devices, Signal Processing
Brief - Six papers from the Optical Comms team will be presented at OFC2018 to be held in San Diego from 11-15 March 2018. The papers relate to high performance modulation formats, error correction coding and optimized pulse shape filtering for coherent optical links, and optical devices.
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- Date: September 17, 2017 - September 21, 2017
Where: 2017 European Conference on Optical Communication (ECOC), Sweden
MERL Contacts: Toshiaki Koike-Akino; Kieran Parsons; Ye Wang
Research Areas: Communications, Electronic and Photonic Devices, Signal Processing
Brief - Two papers from the Optical Communications team were presented at the 2017 European Conference on Optical Communication (ECOC) held in Gothenburg, Sweden in September 2017. The papers relate to enhanced error correction coding for coherent optical links and advanced precoding for optical data center networks. The invited paper studied irregular polar coding to reduce computational complexity, decoding latency, and bit error rate at the same time. In addition to two papers, the team member was invited to talk about constellation shaping as a workshop panelist.
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- Date: March 19, 2017 - March 23, 2017
Where: Optical Fiber Communication Conference and Exhibition (OFC)
MERL Contacts: Toshiaki Koike-Akino; Kieran Parsons
Research Areas: Communications, Electronic and Photonic Devices, Signal Processing
Brief - Five papers from the Optical Comms team will be presented at OFC2017 to be held in Los Angeles from 19-23 March 2017. The papers relate to 1Tb/s optical transmission, high performance modulation formats and error correction coding for coherent optical links and precoding for plastic optical fiber links.
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- Date: September 19, 2016
Where: 2016 European Conference on Optical Communication, Dusseldorf Germany
MERL Contacts: Toshiaki Koike-Akino; Kieran Parsons
Research Areas: Communications, Electronic and Photonic Devices, Signal Processing
Brief - Four papers from the Optical Comms team will be presented at ECOC2016 to be held in Dusseldorf, Germany from 19-21 September 2016. A fifth paper in collaboration with our colleagues in Japan will also be presented. ECOC is the largest conference on optical communication in Europe. The papers relate to high performance modulation formats, nonlinearity compensation and error correction coding for coherent optical links.
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- Date: March 24, 2016
Awarded to: Toshiaki Koike-Akino, Keisuke Kojima, David S. Millar, Kieran Parsons, Tsuyoshi Yoshida, Takashi Sugihara
MERL Contacts: Toshiaki Koike-Akino; Kieran Parsons
Research Areas: Communications, Electronic and Photonic Devices, Signal Processing
Brief - Five papers from the Optical Comms team were presented at the 2016 Optical Fiber Conference (OFC) held in Anaheim, USA in March 2016. The papers relate to enhanced modulation formats, constellation shaping, chromatic dispersion estimation, low complexity adaptive equalization and coding for coherent optical links. The top-scored paper studied optimal selection of coding and modulation sets to jointly maximize nonlinear tolerance and spectral efficiency.
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- Date: March 1, 2016
Where: Tokyo, Japan
MERL Contact: Kieran Parsons
Research Areas: Communications, Signal Processing
Brief - MERL optical transceiver technology that enables 1 Terabit per second communication speed was reported at a recent press release event in Tokyo. Please see the link below for the full Mitsubishi Electric press release text.
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- Date: May 10, 2015 - May 15, 2015
MERL Contacts: Toshiaki Koike-Akino; Kieran Parsons
Research Area: Communications
Brief - Toshiaki Koike-Akino presented 'LDPC-coded 16-dimensional modulation based on the Nordstrom--Robinson nonlinear block code,' and 'Phase noise-robust LLR calculation with linear/bilinear transform for LDPC-coded coherent communications,' at the recently held CLEO conference in San Jose, CA.
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- Date: March 25, 2015
MERL Contacts: Kieran Parsons; Toshiaki Koike-Akino
Research Areas: Communications, Electronic and Photonic Devices, Signal Processing
Brief - Six papers from the Optical Comms team will be presented at the 2015 Optical Fiber Conference (OFC) being held in LA, USA in March 2015. The papers relate to high-dimensional modulation, signal processing, coding for coherent optical links and semiconductor laser linewidth measurement.
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- Date: June 10, 2014
Where: European Conference on Optical Communication (ECOC)
MERL Contacts: Kieran Parsons; Toshiaki Koike-Akino
Research Areas: Communications, Electronic and Photonic Devices, Signal Processing
Brief - Four papers from the Optical Communications team have been accepted for publication and presentation at the European Conference on Optical Communication (ECOC) to be held in Cannes, France in September 2014. The papers relate to high-dimensional modulation, signal processing and coding for coherent optical links.
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- Date: April 7, 2013
Where: IEEE Wireless Communications and Networking Conference (WCNC)
MERL Contacts: Philip V. Orlik; Jianlin Guo; Kieran Parsons
Research Area: Communications
Brief - The paper "Load Balanced Routing for Low Power and Lossy Networks" by Liu, X., Guo, J., Bhatti, G., Orlik, P. and Parsons, K. was presented at the IEEE Wireless Communications and Networking Conference (WCNC).
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- Date: March 1, 2013
Where: IEICE Technical Committee Conference (OCS/OFT/OPE)
MERL Contacts: Bingnan Wang; Toshiaki Koike-Akino; Kieran Parsons
Research Area: Electronic and Photonic Devices
Brief - The paper "An MMI-based Polarization Splitter using Patterned Metal and Angled Joint" by Kojima, K., Nishikawa, S., Yagyu, E., Yuan, W., Wang, B., Koike-Akino, T. and Parsons, K. was presented at the IEICE Technical Committee Conference (OCS/OFT/OPE).
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- Date: September 16, 2012
Where: European Conference on Optical Communication (ECOC)
MERL Contacts: Bingnan Wang; Toshiaki Koike-Akino; Kieran Parsons
Research Area: Electronic and Photonic Devices
Brief - The paper "An MMI-based Polarization Splitter Using Patterned Metal and Tilted Joint" by Yuan, W., Kojima, K., Wang, B., Koike-Akino, T., Parsons, K., Nishikawa, S. and Yagyu, E. was presented at the European Conference on Optical Communication (ECOC).
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- Date: June 27, 2012
Where: Optics Express
MERL Contacts: Toshiaki Koike-Akino; Kieran Parsons
Research Areas: Communications, Signal Processing
Brief - The article "High-order Statistical Equalizer for Nonlinearity Compensation in Dispersion-managed Coherent Optical Communications" by Koike-Akino, T., Duan, C., Parsons, K., Kojima, K., Yoshida, T., Sugihara, T. and Mizuochi, T. was published in Optics Express.
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- Date: April 23, 2012
Where: Optics Express
MERL Contacts: Bingnan Wang; Kieran Parsons
Research Area: Electronic and Photonic Devices
Brief - The article "Mode-evolution-based Polarization Rotator-splitter Design via Simple Fabrication Process" by Yuan, W., Kojima, K., Wang, B., Koike-Akino, T., Parsons, K., Nishikawa, S. and Yagyu, E. was published in Optics Express.
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