Select Publications
Communications
| Title | Publication | Authors |
|---|---|---|
| A 42.2Gb/s 4.3pJ/b 60GHz Digital TX with 12b/symbol Polarization MIMO | ISSCC 2019 | Chintan Thakkar (Intel), Anandaroop Chakrabarti (Intel), Shuhei Yamada (Intel), Debabani Choudhury (Intel), James Jaussi (Intel), Bryan Casper (Intel), Stefan Shopov (Intel) |
| An 802.11ba 495µW -92.6dBm-Sensitivity Blocker-Tolerant Wake-up Radio Receiver Fully Integrated with Wi-Fi Transceiver | 2019 IEEE Radio Frequency Integrated Circuits Symposium | Renzhi Liu (Intel), Asma Kuriparambil Thekkumpate (Intel), Richard Dorrance (Intel), Deepak Dasalukunte (Intel), Mario Santana Lopez (Intel), Vinod Kristem (Intel), Shahrnaz Azizi (Intel), Minyoung Park (Intel), Brent Carlton (Intel) |
| An 802.11ba-based Wake-up Radio Receiver with Wi-Fi Transceiver Integration | IEEE Journal of Solid-State Circuits | Renzhi Liu (Intel), Asma Kuriparambil Thekkumpate (Intel), Richard Dorrance (Intel), Vinod Kristem (Intel), Deepak Dasalukunte (Intel), Mario Santana Lopez (Intel), Alexander Min (Intel), Shahrnaz Azizi (Intel), Minyoung Park (Intel), Brent Carlton (Intel) |
| Deep CNN based Channel Estimation for mmWave Massive MIMO Systems | IEEE Journal of Selected Topics in Signal Processing | Ivan Simoes Gaspar (Intel), Navid Naderi (Intel), Hua Zhang (Georgia Tech), Peihao Dong (Georgia Tech), Geoffrey Ye Li (Georgia Tech) |
| Deep CNN for Wideband mmWave Massive MIMO Channel Estimation Using Frequency Correlation | International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019) | Navid Naderi (Intel), Ivan Simoes Gaspar (Intel), Peihao Dong (Southeast University), Hua Zhang (Southeast University), Geoffrey Ye Li (Georgia Tech) |
| Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach | Asilomar Conference on Signals, Systems, and Computers | Navid Naderi (Intel), Morteza Hashemi (University of Kansas) |
| Extending Accurate Time Distribution and Timeliness Capabilities over the Air to Enable Future Wireless Industrial Automation Systems | Proceedings of the IEEE - Special Issue on Real-Time Networks and Protocols for Factory Automation and Process Control Systems | Dave Cavalcanti (Intel), Kevin Stanton (Intel), Mamun Rashid (Intel), Javier Perez-Ramirez (Intel), Juan Fang (Intel), Mikhail Galeev (Intel) |
| Learning to Code: Coded Caching via Deep Reinforcement Learning | Asilomar Conference on Signals, Systems, and Computers | Navid Naderi (Intel), Seyed Mohammad Asghari (University of Southern California) |
| Monitoring Under-modeled Rare Events for URLLC | IEEE Workshop on Signal Processing Advances in Wireless Communications 2019 | Vasuki Narasimha Swamy (Intel), Navid Naderi (Intel), Venky Nallampatti Ekambaram (Intel), Shilpa Talwar (Intel), Anant Sahai (University of California Berkeley) |
| Next-Generation Wi-Fi Networks for Time-Critical Applications | MATLAB EXPO 2019 | Mikhail Galeev (Intel) |
| On the Degree of Multi-Connectivity in 5G Millimeter-Wave Cellular Urban Deployments | IEEE Transcations on Vehicular Communications (Correspondance) | Nageen Himayat (Intel), Mustafa Akdeniz (Intel), Sagar Dhakal (Intel), Margarita Gapeyenko, Andrey Samyulov, Sergey Andreev, Yevgeni Koucheryavy, Dmitrii Moltchanov |
| Unsupervised Learning Technique to Obtain the Coordinates of Wi-Fi Access Points | 10th International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2019 | Jeongsik Choi (Intel), Yang-Seok Choi (Intel), Shilpa Talwar (Intel) |
| When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework | ArXiv.org | Navid Naderi (Intel), Chintan Thakkar |
Compute
| Title | Publication | Authors |
|---|---|---|
| A 250mV, 0.063J/GHash Bitcoin Mining Engine in 14nm CMOS Featuring Efficient Dual-Vcc SHA256 Datapath and 3-Phase Latch Based Clocking | VLSI Circuit Symposium, 2019 | Vikram Suresh (Intel), Sudhir Satpathy (Intel), Raghavan Kumar (Intel), Mark Anders (Intel), Himanshu Kaul (Intel), Amit Agarwal (Intel), Steven Hsu (Intel), Ram Krishnamurthy (Intel), Vivek De (Intel), Sanu Mathew (Intel) |
| A Case For Asymmetric Processing in Memory | IEEE Computer Architecture Letters | Berkin Akin (Intel), Alaa Alameldeen (Intel) |
| A Closed-form Solution to Universal Style Transfer | ICCV 2019 | Anbang Yao (Intel), Ming Lu (Intel), Hao Zhao (Intel), Yurong Chen (Intel), Feng Xu (Tsinghua University), Li Zhang (Tsinghua University) |
| A Quantum Solution for Efficient Use of Symmetries in Exact Diagonalizationof Many-Body Systems | American Physical Society March Meeting | Sonika Johri (Intel), Albert Schmitz (University of Colorado, Boulder) |
| A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between | arXiv.org | Javier Turek (Intel), Mihai Capota (Intel), Ted Willke (Intel), Shailee Jain (UT Austin), Alex Huth (UT Austin) |
| Accelerating Sequence Alignment to Graphs | 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS) | Sanchit Misra (Intel), Chirag Jain (Georgia Tech), Haowen Zhang (Georgia Tech), Alexander Dilthey (University Hospital of Dusseldorf), Srinivas Aluru (Georgia Tech) |
| Adaptive Activation Functions Using Fractional Calculus | ICCV 2019 | Julio Zamora Esquivel (Intel), Jesus Cruz Vargas (Intel), Paulo Lopez Meyer (Intel), Hector Cordourier Maruri (Intel), Jose Camacho Perez (Intel), Omesh Tickoo (Intel) |
| Categorization of Program Regions for Agile Compilation using Machine Learning and Hardware Support | arxiv.org | Sanket Tavarageri (Intel) |
| Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora | Nature Communications | Nicole Beckage (Intel), Marius Catalin Iordan (Princeton), Tyler Giallanza (Southern Methodist University), Jonathan Cohen (Princeton) |
| dMazeRunner: Executing Perfectly Nested Loops on Dataflow Accelerators | ESWEEK '19 | Sasikanth Avancha (Intel), Shail Dave (Arizona State University), Aviral Shrivastava (Arizona State University) |
| Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems | 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS) | Sanchit Misra (Intel), Vasimuddin Md (Intel), Heng Li (Dana Farber), Srinivas Aluru (Georgia Tech) |
| HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions | ICCV 2019 | Anbang Yao (Intel), Duo Li (Intel), Aojun Zhou (Previous intern) |
| Impact of qubit connectivity on quantum algorithm performance | American Physical Society March Meeting | Sonika Johri (Intel), Gian Giacomo Guerreschi (Intel), Adam Holmes (Intel), Jim Clarke (Intel), Anne Matsuura (Intel) |
| Learning Two-View Correspondences and Geometry Using Order-Aware Network | ICCV 2019 | Anbang Yao (Intel), Dawei Sun (Intel), Yurong Chen (Intel), Jiahui Zhang (Previous intern), Zixin Luo (HKUST), Lei Zhou (HKUST), Tianwei Shen (Altizure), Long Quan (HKUST), Hongen Liao (Tsinghua University) |
| Min-Delay Margin/Error Detection and Correction for Flip-Flops and Pulsed Latches in 10nm CMOS | 2019 European Solid-State Circuits Conference (ESSCIRC) | Pascal Meinerzhagen (Intel), Andres Malavasi Mora (Intel), Trang Nguyen (Intel), Muhammad Khellah (Intel), Jim Tschanz (Intel), Vivek De (Intel), Sandip Kundu |
| Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks | 35th Conference on Uncertainty in Artificial Intelligence (UAI) | Qi She (Intel), Anqi Wu (Princeton University) |
| OpenLORIS-Object: A Dataset and Benchmark towards Lifelong Object Recognition | The 2020 International Conference on Robotics and Automation (ICRA), 2020 | Qi She (Intel), Yimin Zhang (Intel), Xuesong Shi (Intel), Yao Guo (Imperial College London), Zhengwei Wang (dublin city university)), Fan Feng (City University of Hong Kong), Rosa H.M. Chan (City University of Hong Kong), Vincenzo Lomonaco (University of Bologna), Qihan Yang (City University of Hong Kong), Xinyue Hao (Beijing University of Posts and Telecommunications), Chuanlin Lan (Wuhan University), Fei Qiao (Tsinghua University) |
| Optimizing Deep Learning LSTM Topologies on Intel Xeon Architecture | ISC High Performance conference | Kunal Banerjee (Intel), Evangelos Georganas (Intel), Dhiraj Kalamkar (Intel), Alexander Heinecke (Intel) |
| Optimizing Deep Learning RNN Topologies on Intel Architecture | Supercomputing Frontiers and Innovations | Kunal Banerjee (Intel), Evangelos Georganas (Intel), Dhiraj Kalamkar (Intel), Barukh Ziv (Intel), Cristina Anderson (Intel), Alexander Heinecke (Intel) |
| Quantum Chemistry in the Age of Quantum Computing | Chemical Reviews | Nicolas Sawaya (Intel), Yudong Cao (Harvard, Zapata), Jonathan Romero (Harvard, Zapata), Jonathan P. Olson (Harvard, Zapata), Matthias Degroote (Harvard, UToronto), Peter D. Johnson (Harvard, Zapata), Maria Kieferova (Macquarie U, U Waterloo, Zapata), Ian D. Kivlichan (Harvard), Tim Menke (Harvard, MIT), Borja Peropadre (Zapata), Sukin Sim (Harvard, Zapata), Libor Veis (Academy of Sciences of the Czech Republic), Alan Aspuru-Guzik (Harvard, UToronto, Zapata) |
| Repeat-Until-Success with fixed-point oblivious amplitude amplification | Physical Review A | Gian Giacomo Guerreschi (Intel) |
| RRAM based Stochastic Neuron for Boltzmann Machine to Solve Maximum Cut Problem | Applied Physics Letters, Special Topics on Emerging Materials in Neuromorphic Computing | Sree Subramoney (Intel), Srivatsava Jandhyala (Intel), Devesh Khilwani (IIT Bombay), Vineet Moghe (IIT Bombay), Sandip Lashkare (IIT Bombay), Vivek Saraswat (IIT Bombay), Maryam Shojaei Baghini (IIT Bombay), Udayan Ganguly (IIT Bombay), Pankaj Kumbhare (IIT Bombay) |
| Scheduler of quantum circuits based on dynamical pattern improvement and its application to hardware design | arXiv.org | Gian Giacomo Guerreschi (Intel) |
| Sparse Dictionary Learning by Dynamical Neural Networks | ICLR 2019 | Tsung-Han Lin (Intel), Peter Tang (Intel) |
| Specifying weight priors in Bayesian Deep Neural Networks with Empirical Bayes | AAAI Conference on Artificial Intelligence 2020 | Ranganath Krishnan (Intel), Mahesh Subedar (Intel), Omesh Tickoo (Intel) |
| Training Google Neural Machine Translation on an Intel CPU Cluster | IEEE CLUSTER 2019 | Dhiraj Kalamkar (Intel), Evangelos Georganas (Intel), Alexander Heinecke (Intel), Srinivas Sridharan (Intel), Sudarshan Srinivasan (Intel), Mikhail E Smorkalov (Intel), Cong Xu (Intel), Kunal Banerjee (Intel) |
Security
| Title | Publication | Authors |
|---|---|---|
| Security Analysis of Processor Instruction Set Architecture for Enforcing Control-Flow Integrity | HASP '19 Proceedings of the 8th International Workshop on Hardware and Architectural Support for Security and Privacy | Ravi Sahita (Intel), Ved Shanbhogue (Intel), Deepak Gupta (Intel) |
| Design of a Misbehavior Detection System for Objects Based Shared Perception V2X Applications | IEEE ITSC'19 | Moreno Ambrosin (Intel), Manoj Sastry (Intel), Lily Yang (Intel), Xiruo Liu (Intel), Ignacio Alvarez (Intel) |
| Side Channels: An Industry Perspective | ISCA ARCH-SEC: Side and Covert Channels: Attacks and Defenses | Frank Mckeen (Intel) |
| STELLAR: A Generic EM Side-Channel Attack Protection through Ground-Up Root-cause Analysis | HOST2019, Cryptology ePrint Archive: Report 2018/620 | Santosh Ghosh (Intel), Debayan Das, Mayukh Nath, Shreyas Sen, Baibhab Chatterjee |
| Talk Proposal: Towards the Realistic Evaluation of Evasion Attacks using CARLA | Dependable and Secure Machine Learning (DSML 2019) | Cory Cornelius (Intel), Jason Martin (Intel), Shang-Tse Chen (Georgia Tech), Duen Horng (Polo) Chau (Georgia Tech) |
| The Efficacy of Shield under Different Threat Models | Accepted for oral presentation at the KDD 2019 Workshop on Learning and Mining for Cybersecurity (LEMINCS) | Cory Cornelius (Intel), Li Chen (Intel), Mike Kounavis (Intel), Nilaksh Das (Georgia Tech), Shang-Tse Chen (Georgia Tech), Duen Horng (Polo) Chau (Georgia Tech) |
| The Efficacy of Shield under Different Threat Models | arXiv | Cory Cornelius (Intel) |
| VRASED: A Verified Hardware/Software Co-Design for Remote Attestation | UXSEC'19 | Michael Steiner (Intel), Karim Eldefrawy / SRI, Gene Tsudik / UCI, Ivan Oliveira Nunes / UCI, Norrathep Rattanavipanon / UCI |
Sensemaking
| Title | Publication | Authors |
|---|---|---|
| Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM | arXiv.org | Xuesong Shi (Intel), Qi She (Intel), Zhigang Wang (Intel), Yimin Zhang (Intel), Pengpeng Zhao (Intel), Dongjiang Li (Beijing Jiaotong University), Qinbin Tian (Beijing Jiaotong University), Yuxin Tian (Beihang University), Qiwei Long (Beijing Jiaotong University), Chunhao Zhu (Beijing Jiaotong University) , Jingwei Song (Beijing Jiaotong University) , Fei Qiao (Tsinghua University), Wei Yang (Beijing Jiaotong University) , Fangshi Wang (Beijing Jiaotong University) , Le Song (Gaussian Robotics), Yangquan Guo (Gaussian Robotics), Baoxing Qin (Gaussian Robotics), Rosa H. M. Chan (City University of Hong Kong) |
| Challenges in Task Incremental Learning for Assistive Robotics | IEEE Access | Qi She (Intel), Xuesong Shi (Intel), Yimin Zhang (Intel), Fan Feng (City University of Hong Kong), Rosa H.M. Chan (City University of Hong Kong) |
| Conversational Intent Understanding for Passengers in Autonomous Vehicles | 13th Women in Machine Learning Workshop (WiML 2018), co-located with the 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. | Eda Okur Kavil (Intel), Shachi Hullumane Kumar (Intel), Saurav Sahay (Intel), Asli Arslan Esme (Intel), Lama Nachman (Intel) |
| Customized Object Recognition and Segmentation by One Shot Learning with Human Robot Interaction | ICRA 2019 | Ping Guo (Intel), Lidan Zhang (Intel), Lu Cao (Intel), Yingzhe Shen (Intel), Yimin Zhang (Intel), Xuesong Shi (Intel), Haibing Ren |
| Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data | 12th Women in Machine Learning Workshop (WiML 2017), co-located with the 31st Conference on Neural Information Processing Systems (NeurIPS 2017), Long Beach, CA, USA. | Eda Okur Kavil (Intel), Nese Alyuz Civitci (Intel), Sinem Aslan (Intel), Ergin Genc (Intel), Cagri Tanriover (Intel), Asli Arslan Esme (Intel) |
| Efficient priors for scalable variational inference in Bayesian deep neural networks | ICCV 2019 | Ranganath Krishnan (Intel), Mahesh Subedar (Intel), Omesh Tickoo (Intel) |
| Exploring Context, Attention and Audio Features for Audio Visual Scene-Aware Dialog | Visual Question Answering and Dialog Workshop at CVPR 2019 | Shachi Hullumane Kumar (Intel), Eda Okur Kavil (Intel), Saurav Sahay (Intel), Lama Nachman (Intel), Jon Huang (Intel) |
| Intel Far-field Speaker Recognition System for VOiCES Challenge 2019 | Interspeech 2019 | Jon Huang (Intel), Tobias Bocklet (Intel) |
| Investigating the Impact of a Real-time, Multimodal Student Engagement Analytics Technology in Authentic Classrooms | CHI '19 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems | Sinem Aslan (Intel), Nese Alyuz Civitci (Intel), Cagri Tanriover (Intel), Eda Okur Kavil (Intel), Asli Arslan Esme (Intel), Sinem E. Mete (Bahcesehir University), Sidney D'Mello (University of Colorado Boulder) |
| Learning Agile and Dynamic Motor Skills for Legged Robots | Science Robotics | Alexey Dosovitskiy (Intel), Vladlen Koltun (Intel), Joonho Lee (ETH Zurich), Jemin Hwangbo (ETH Zurich), Dario Bellicoso (ETH Zurich), Vassilios Tsounis (ETH Zurich), Marco Hutter (ETH Zurich) |
| Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog | Visually Grounded Interaction and Language (ViGIL) Workshop at NeurIPS 2019 | Shachi Hullumane Kumar (Intel), Eda Okur Kavil (Intel), Saurav Sahay (Intel), Jon Huang (Intel), Lama Nachman (Intel) |
| Locomotion Recognition Using XGBoost and Neural Network Ensemble | In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2019 International Symposium on Wearable Computers (UbiComp/ISWC ’19 Adjunct) | Rahul Shah (Intel), Hong Lu (Intel), Maximilian Pinaroc (Intel), Mengchun Lv (Intel), Shouwei Sun (Intel), Nathan Han (Intel) |
| Modeling Intent, Dialog Policies and Response Adaptation for Goal-Oriented Interactions | Proceedings of the 23rd Workshop on the Semantics and Pragmatics of Dialogue (SEMDIAL 2019) | Saurav Sahay (Intel), Shachi Hullumane Kumar (Intel), Eda Okur Kavil (Intel), Haroon Syed (Intel), Lama Nachman (Intel) |
| Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances | CICLing 2019 - 20th International Conference on Computational Linguistics and Intelligent Text Processing | Eda Okur Kavil (Intel), Shachi Hullumane Kumar (Intel), Saurav Sahay (Intel), Asli Arslan Esme (Intel), Lama Nachman (Intel) |
| Object Detection from Scratch with Deep Supervision | IEEE Transactions on Pattern Analysis and Machine Intelligence | Jianguo Li (Intel), Yurong Chen (Intel), Shen, Zhiqiang (Fudan), Liu, Zhuang (UCBerkeley), Jiang, Yu-Gang (Fudan), Xue, Xiangyang (Fudan) |
| Optimized sensor placement for dependable roadside infrastructures | ITSC 2019 | Florian Geissler (Intel), Ralf Graefe (Intel) |
| Real-time Approximate Bayesian Computation for Scene Understanding | ArXiv | Nilesh Ahuja (Intel), Javier Felip Leon (Intel), David Gomez Gutierrez (Intel), Omesh Tickoo (Intel), Vikash Mansinghka (Massachusetts Institute of Technology) |
| Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach | IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE - ITSC 2019 | Neslihan Kose Cihangir (Intel), Alex Unnervik (Intel), Okan Kopuklu (TUM), Gerhard Rigoll (TUM) |
| Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks | FG 2019 | Neslihan Kose Cihangir (Intel), Okan Kopuklu (TUM), Ahmet Gunduz (TUM), Gerhard Rigoll (TUM) |
| Resource Efficient 3D Convolutional Neural Networks | ICCV 2019/ Neural Architects Workshop | Neslihan Kose Cihangir (Intel), Okan Kopuklu (TUM), Ahmet Gunduz (TUM), Gerhard Rigoll (TUM) |
| Stochastic Quantization for Learning Accurate Low-Bit Deep Neural Networks | International Journal of Computer Vision | Yurong Chen (Intel), Jianguo Li (Intel), Yinpeng Dong (Tsinghua), Renkun Ni (Virginia), Hang Su (Tsinghua), Jun Zhu (Tsinghua) |
| The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students | 13th Women in Machine Learning Workshop (WiML 2018), co-located with the 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. | Eda Okur Kavil (Intel), Sinem Aslan (Intel), Nese Alyuz Civitci (Intel), Asli Arslan Esme (Intel), Ryan S. Baker (University of Pennsylvania) |
| Towards Accurate One-Stage Object Detection with AP-Loss | CVPR 2019 | Jianguo Li (Intel), Chen Kean (SJTU), Lin Weiyao (SJTU), John See (Multimedia Univ), Wang Ji (Youtu), Duan Linyu (PKU) |
| Towards Multimodal Understanding of Passenger-Vehicle Interactions in Autonomous Vehicles: Intent/Slot Recognition Utilizing Audio-Visual Data | Proceedings of the 23rd Workshop on the Semantics and Pragmatics of Dialogue (SEMDIAL 2019) | Eda Okur Kavil (Intel), Shachi Hullumane Kumar (Intel), Saurav Sahay (Intel), Lama Nachman (Intel) |
| Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer | CVPR 2020 | Rene Ranftl (Intel), Vladlen Koltun (Intel), David Hafner (Intel), Katrin Lasinger (ETH Zuerich), Konrad Schindler (ETH Zuerich) |
| Uncertainty-aware Audiovisual Activity Recognition using Deep Bayesian Variational Inference | ICCV 2019 | Mahesh Subedar (Intel), Ranganath Krishnan (Intel), Omesh Tickoo (Intel), Paulo Lopez Meyer (Intel), Jon Huang (Intel) |
| Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students | 12th Women in Machine Learning Workshop (WiML 2017), co-located with the 31st Conference on Neural Information Processing Systems (NeurIPS 2017), Long Beach, CA, USA. | Nese Alyuz Civitci (Intel), Eda Okur Kavil (Intel), Ergin Genc (Intel), Sinem Aslan (Intel), Cagri Tanriover (Intel), Asli Arslan Esme (Intel) |
| Using high performance computing in vehicles to create image datasets for deep learning | MIPRO 2019 | Alex Unnervik (Intel), Neslihan Kose Cihangir (Intel), Branimir Malnar (Ericsson) |
| Visual Inertial Odometry at the edge: a hardware-software codesign approach for ultra-low latency and power | 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE) | Dipan Kumar Mandal (Intel), Srivatsava Jandhyala (Intel), Omji Omer (Intel), Gurpreet Kalsi (Intel), Biji George (Intel), Gopi Neela (Intel), Santhosh Rethinagiri (Intel), Sree Subramoney (Intel), Hong Wang (Intel), Lance Hacking (Intel), Belli Kuttanna (Intel), Jim Radford (Intel), Eagle Jones (Intel) |
Systems
| Title | Publication | Authors |
|---|---|---|
| A 93.8% Peak Efficiency, 5V-Input, 10A Max ILOAD Flying Capacitor Multilevel (FCML) Converter in 22nm CMOS Featuring Wide Output Voltage Range & Flying Capacitor Precharging | ISSCC 2019 | Chris Schaef (Intel), Sheldon Weng (Intel), Beom Choi (Intel), William Lambert (Intel), Kaladhar Radhakrishnan (Intel), Krishnan Ravichandran (Intel), Jim Tschanz (Intel), Vivek De (Intel) |
| A Distributed, Autonomous & Collaborative Multi-Robot System Featuring a Low-Power Robot SoC in 22nm CMOS for Integrated, Battery-Powered, Crawling & Jumping Minibots | ISSCC 2019 | Vinayak Honkote (Intel), Dileep Kurian (Intel), Sri Kabisthalam Muthukumar (Intel), Satish Yada (Intel), Kartik Jain (Intel), Mukesh Bhartiya (Intel) |
| A Fully Integrated Voltage Regulator in 14nm CMOS with Package-Embedded Air-Core Inductor Featuring Self-Trimmed, Digitally Controlled Variable ON-Time Discontinuous Conduction Mode (DCM) Operation | ISSCC 2019 | Chris Schaef (Intel), Nachiket Desai (Intel), Harish Krishnamurthy (Intel), Sheldon Weng (Intel), Huong Do (Intel), William Lambert (Intel), Kaladhar Radhakrishnan (Intel), Krishnan Ravichandran (Intel), Jim Tschanz (Intel), Vivek De (Intel) |
| A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions | Thirty-third Conference on Neural Information Processing Systems | Mejbah Alam (Intel), Justin Gottschlich (Intel), Emine Tatbul Bitim (Intel), Javier Turek (Intel), Tim Mattson (Intel), Abudllah Muzahid (TAMU) |
| ALIGN --- Open-Source Analog Layout Automation from the Ground Up | Design Automation Conference (DAC) | Steve Burns (Intel), Des Kirkpatrick (Intel), Kishor Kunal (University of Minnesota), Wenbin Xu (Texas A&M), Jiang Hu (Texas A&M), Meghna Madhusudan (University of Minnesota), Arvind K. Sharma (University of Minnesota), Ramesh Harjani (University of Minnesota), Sachin Sapatnekar (University of Minnesota) |
| An end to end framework to high performance geometry-aware multi-scale keypoint detection and matching in fisheye images | International Conference on Image Processing (ICIP) | Niloufar Pourian (Intel), Oscar Nestares (Intel) |
| Auto White Balance Stabilization in Digital Video | Electronic Imaging | Niloufar Pourian (Intel), Rastislav Lukac (Intel) |
| Automatic Model Parallelism for Deep Neural Networks with Compiler and Hardware Support | arxiv.org | Srinivas Sridharan (Intel), Bharat Kaul (Intel) |
| Datacenter RPCs can be General and Fast | NSDI 2019 | Michael Kaminsky (Intel), Anuj Kalia, David G. Andersen |
| DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks | IJCV | Benjamin Ummenhofer (Intel), Huizhong Zhou (University of Freiburg), Thomas Brox (University of Freiburg) |
| Distributed Software Switching for Scalable Network Functions | Proceedings of IEEE Conference on Network Softwarization (NetSoft 2019) | Mesut Ergin (Intel), Charlie Tai (Intel), James Tsai (Intel) |
| LISA: Towards Learned DNA Sequence Search | Workshop on Systems for ML at NeurIPS 2019 | Sanchit Misra (Intel), Emine Tatbul Bitim (Intel), Vasimuddin Md (Intel), Darryl Ho, Jialin Ding, Vikram Nathan, Tim Kraska |
| Low-Cost Aerial Imaging for Small Holder Farmers | ACM COMPASS 2019 | Vasuki Narasimha Swamy (Intel), Akshit Kumar (IIT Madras), Rohit Patil (PESIT), Aditya Jain (IIIT Delhi), Zerina Kapetanovic (University of Washington), Rahul Sharma (CMU), Deepak Vasisht (MIT), Ranveer Chandra (Microsoft), Manohar Swaminathan (Microsoft), Anirudh Badam (Microsoft), Gireeja Ranade (UC Berkeley), Sudipta Sinha (Microsoft), Akshay Nambi (Microsoft) |
| Metro-Viz: Black-Box Analysis of Time Series Anomaly Detectors | CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI’19 Extended Abstracts). | Emine Tatbul Bitim (Intel), Philipp Eichmann (Brown), Franco Solleza (Brown), Junjay Tan (Brown), Stan Zdonik (Brown) |
| Neo: A Learned Query Optimizer | arvix.org | Emine Tatbul Bitim (Intel), Ryan Marcus (Brandeis University), Parimarjan Negi (MIT), Hongzi Mao (MIT), Chi Zhang (Brandies University), Mohammad Alizadeh (MIT), Tim Kraska (MIT), Olga Papaemmanouil (Brandeis University) |
| Object-level Perception Sharing Among Connected Vehicles | IEEE ITSC'19 | Moreno Ambrosin (Intel), Manoj Sastry (Intel), Siva Sivanesan (Intel), Cornelius Buerkle (Intel), Ignacio Alvarez (Intel), Lily Yang (Intel), Fabian Oboril (Intel) |
| REAL: REquest Arbitration in Last Level Caches | ACM Transactions on Embedded Computing Systems (TECS), November 2019 | Sree Subramoney (Intel), Prof. Preeti Panda from IIT Delhi, Sakshi Tewari (IIT Delhi), Isaar Ahmad (IIT Delhi), Shreshth Tuli (IIT Delhi) |
| Respecting the block interface -- computational storage using virtual objects | Usenix HotStorage 2019 | Ian Adams (Intel), Mike Mesnier (Intel), John Keys (Intel) |
| Robot 4.0 Whitepaper on Edge-enhanced Cloud Robotics System and Infrastructure | Independent publication | Lily Ouyang (Intel), Jiqiang Song (Intel), Yimin Zhang (Intel), Sunny Zhang (Intel), Dawei Wang (Intel), Kevin Wang (Intel), Patricia Wang (Intel), Xiaoqing Huang (CloudMind), Fengshan Zou (Siasun), Qian Gao (Ecovacs), Shengming Huang (CloudMind), Zhonghua Tang (Siasun), Changdong Shao (Ecovcas) |
| SnotBot: A Whale of a Deep-Learning Project | IEEE Spectrum | Bryn Keller (Intel), Ted Willke (Intel) |
| Streaming Event Detection in Microblogs: Balancing Accuracy and Performance | International Conference on Web Engineering (ICWE'19) | Emine Tatbul Bitim (Intel), Ozlem Ceren Sahin (METU), Pinar Karagoz (METU) |
| The POP Phase Detector: A Lightweight Online Phase Detection Framework | 2019 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) | Jim Greensky (Intel), Karl Taht (Intel), Rajeev Balasubramonian, University of Utah |
| The Road to Ubiquitous Consumer Augmented Reality Systems | Human Behavior & Emerging Technologies | Ronald Azuma (Intel) |
| Tools for Advanced Time Series Analytics: Enabling the Future | 9th Biennial Conference on Innovative Data Systems Research (CIDR 2019). | Emine Tatbul Bitim (Intel) |
| Towards a Distraction-free Waze | ACM HotMobile 2019 | Babu Pillai (Intel), Kevin Christensen, CMU, Christoph Mertz, CMU, Martial Hebert, CMU, Mahadev Satyanarayanan, CMU |
| Towards Drone-sourced Live Video Analytics for the Construction Industry | ACM HotMobile 2019 | Babu Pillai (Intel), Shilpa George (CMU), Mihir Bala (Univ. Michigan), Junjue Wang, CMU, Thomas Eiszler, CMU, Mahadev Satyanarayanan, CMU |
| Towards Scalable Edge-Native Applications | ACM/IEEE Symposium on Edge Computing | Babu Pillai (Intel), Junjue Wang (CMU), Ziqiang Feng (CMU), Shilpa George (CMU), Roger Iyengar (CMU), Mahadev Satyanarayanan (CMU) |
| Towards Standardization of AV Safety Assurance: the RSS Open Library | IEEE Intelligent Vehicle Symposium | Ignacio Alvarez (Intel), Bernd Gassmann (Intel), Fabian Oboril (Intel), Cornelius Buerkle (Intel), Darshan Iyer (Intel), Suhel Jaber (Intel), Peter Van Beek (Intel), Shuang Liu (Intel), Maria Soledad Elli (Intel), Jack Weast (Intel), Shoumeng Yan (Intel), Naveen Aerrabotu (Intel) |
| Understanding Ability of 3D Integral Displays to Provide Accurate Out-of-focus Retinal Blur | Proceedings of Electronic Imaging Meeting 2019 | Ginni Grover (Intel), Oscar Nestares (Intel), Ronald Azuma (Intel) |
| Visual Exploration of Time Series Anomalies with Metro-Viz | ACM SIGMOD/PODS | Emine Tatbul Bitim (Intel), Philipp Eichmann (Brown), Franco Solleza (Brown), Stan Zdonik (Brown) |