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ORCIDShubham Jain
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j24]Shubham Jain
, Enda Fallon:
UDNet: A Unified Deep Learning-Based AutoML Framework to Execute Multiple ML Strategies for Multi-Modal Unstructured Data Processing. IEEE Access 12: 77959-77975 (2024)- [j23]Maria Emine Nylund, Shubham Jain, Eva Tegnander, Eva Johanne Leknes Jensen, Ekaterina Prasolova-Førland, Frank Linsdeth, Gabriel Kiss:
Mixed reality training application to perform obstetric pulsed-wave Doppler ultrasound. Educ. Inf. Technol. 29(6): 7519-7551 (2024) - [j22]Hai Truong, Dheryta Jaisinghani, Shubham Jain, Arunesh Sinha, JeongGil Ko, Rajesh Balan:
Tracking people across ultra populated indoor spaces by matching unreliable Wi-Fi signals with disconnected video feeds. Pervasive Mob. Comput. 97: 101860 (2024) - [c79]Prerna Khanna, I. V. Ramakrishnan, Shubham Jain, Xiaojun Bi, Aruna Balasubramanian:
Hand Gesture Recognition for Blind Users by Tracking 3D Gesture Trajectory. CHI 2024: 405:1-405:15 - [c78]Monodeep Kar, Joel Silberman, Swagath Venkataramani, Viji Srinivasan, Bruce M. Fleischer, Joshua Rubin, JohnDavid Lancaster, Sae Kyu Lee, Matthew Cohen, Matthew M. Ziegler, Nianzheng Cao, Sandra Woodward, Ankur Agrawal, Ching Zhou, Prasanth Chatarasi, Thomas Gooding, Michael Guillorn, Bahman Hekmatshoartabari, Philip Jacob, Radhika Jain, Shubham Jain, Jinwook Jung, Kyu-Hyoun Kim, Siyu Koswatta, Martin Lutz, Alberto Mannari, Abey Mathew, Indira Nair, Ashish Ranjan, Zhibin Ren, Scot Rider, Thomas Roewer, David L. Satterfield, Marcel Schaal, Sanchari Sen, Gustavo Tellez, Hung Tran, Wei Wang, Vidhi Zalani, Jintao Zhang, Xin Zhang, Vinay Shah, Robert M. Senger, Arvind Kumar, Pong-Fei Lu, Leland Chang:
14.1 A Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC. ISSCC 2024: 254-256 - [c77]Shubham Jain, Sumit Khalapure, Rajesh H. Zele:
Power Efficient Analog-Assisted Digital Voltage Regulator for Implantable Medical Devices. LASCAS 2024: 1-5 - [c76]Tanmay Srivastava, Prerna Khanna, Shijia Pan, Phuc Nguyen, Shubham Jain:
Unvoiced: Designing an LLM-assisted Unvoiced User Interface using Earables. SenSys 2024: 784-798 - [c75]Tanmay Srivastava, Prerna Khanna, Shijia Pan, Phuc Nguyen, Shubham Jain:
Poster Unvoiced: Designing an Unvoiced User Interface using Earables and LLMs. SenSys 2024: 871-872 - [c74]Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye:
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models. USENIX Security Symposium 2024 - [i31]Prince Osei Aboagye, Yan Zheng, Junpeng Wang, Uday Singh Saini, Xin Dai, Chin-Chia Michael Yeh, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Liang Wang, Wei Zhang:
Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach. CoRR abs/2401.02987 (2024) - [i30]Faith M. Johnson, Bryan Bo Cao, Kristin J. Dana, Shubham Jain, Ashwin Ashok:
Feudal Networks for Visual Navigation. CoRR abs/2402.12498 (2024) - [i29]Faith M. Johnson, Bryan Bo Cao, Kristin J. Dana, Shubham Jain, Ashwin Ashok:
A Landmark-Aware Visual Navigation Dataset. CoRR abs/2402.14281 (2024) - [i28]Bryan Bo Cao, Abhinav Sharma, Lawrence O'Gorman, Michael Coss, Shubham Jain:
A Lightweight Measure of Classification Difficulty from Application Dataset Characteristics. CoRR abs/2404.05981 (2024) - [i27]Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye:
Inherent Challenges of Post-Hoc Membership Inference for Large Language Models. CoRR abs/2406.17975 (2024) - [i26]Liang Wang, Shubham Jain, Yingtong Dou, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Prince Osei Aboagye, Yan Zheng, Xin Dai, Zhongfang Zhuang, Uday Singh Saini, Wei Zhang:
Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction. CoRR abs/2409.04649 (2024) - [i25]Moinak Bhattacharya, Gagandeep Singh, Shubham Jain, Prateek Prasanna:
RadGazeGen: Radiomics and Gaze-guided Medical Image Generation using Diffusion Models. CoRR abs/2410.00307 (2024) - 2023
- [j21]Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei Zhang:
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework. IEEE Trans. Vis. Comput. Graph. 29(9): 3809-3825 (2023) - [j20]Shubham Jain, Hsinyu Tsai, Ching-Tzu Chen, Ramachandran Muralidhar, Irem Boybat, Martin M. Frank, Stanislaw Wozniak, Milos Stanisavljevic, Praneet Adusumilli, Pritish Narayanan, Kohji Hosokawa, Masatoshi Ishii, Arvind Kumar, Vijay Narayanan, Geoffrey W. Burr:
A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh. IEEE Trans. Very Large Scale Integr. Syst. 31(1): 114-127 (2023) - [j19]Abrar Alali, Stephan Olariu, Shubham Jain:
ADOPT: A system for Alerting Drivers to Occluded Pedestrian Traffic. Veh. Commun. 41: 100601 (2023) - [c73]Shubham Jain, Bjørn Rude Jacobsen, Per Storrø Petersen, Gabriel Kiss, Sobah Abbas Petersen:
Enhancing Citizen Engagement: Experiences from a Virtual Reality Workshop. AMCIS 2023 - [c72]Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang:
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. CIKM 2023: 3247-3256 - [c71]Shubham Jain, Enda Fallon:
Leveraging Unstructured Data to Improve Customer Engagement and Revenue in Financial Institutions: A Deep Reinforcement Learning Approach to Personalized Transaction Recommendations. CITS 2023: 1-8 - [c70]Shubham Jain, Srijith P. K:
Monte Carlo Dropout Based BatchEnsemble For Improving Uncertainty Estimation. COMAD/CODS 2023: 138 - [c69]Martin M. Frank, Ning Li, Malte J. Rasch, Shubham Jain, Ching-Tzu Chen, Ramachandran Muralidhar, Jin-Ping Han, Vijay Narayanan, Timothy Philip, Kevin Brew, Andrew Simon, Iqbal Saraf, Nicole Saulnier, Irem Boybat, Stanislaw Wozniak, Abu Sebastian, Pritish Narayanan, Charles Mackin, An Chen, Hsinyu Tsai, Geoffrey W. Burr:
Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited). IRPS 2023: 1-10 - [c68]Hsinyu Tsai, Pritish Narayanan, Shubham Jain, Stefano Ambrogio, Kohji Hosokawa, Masatoshi Ishii, Charles Mackin, Ching-Tzu Chen, Atsuya Okazaki, Akiyo Nomura, Irem Boybat, Ramachandran Muralidhar, Martin M. Frank, Takeo Yasuda, Alexander M. Friz, Yasuteru Kohda, An Chen, Andrea Fasoli, Malte J. Rasch, Stanislaw Wozniak, Jose Luquin, Vijay Narayanan, Geoffrey W. Burr:
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited). ISCAS 2023: 1-5 - [c67]Bryan Bo Cao, Abrar Alali, Hansi Liu, Nicholas Meegan, Marco Gruteser, Kristin J. Dana, Ashwin Ashok, Shubham Jain:
ViFiT: Reconstructing Vision Trajectories from IMU and Wi-Fi Fine Time Measurements. ISACom@MobiCom 2023: 13-18 - [c66]Prerna Khanna, Shirin Feiz, Jian Xu, I. V. Ramakrishnan, Shubham Jain, Xiaojun Bi, Aruna Balasubramanian:
AccessWear: Making Smartphone Applications Accessible to Blind Users. MobiCom 2023: 32:1-32:16 - [c65]Tanmay Srivastava, Shijia Pan, Phuc Nguyen, Shubham Jain:
Jawthenticate: Microphone-free Speech-based Authentication using Jaw Motion and Facial Vibrations. SenSys 2023: 209-222 - [c64]Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye:
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. SP 2023: 234-252 - [i24]Xin Dai, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Chin-Chia Michael Yeh, Junpeng Wang, Liang Wang, Yan Zheng, Wei Zhang:
PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs. CoRR abs/2306.01913 (2023) - [i23]Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye:
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. CoRR abs/2306.11924 (2023) - [i22]Bryan Bo Cao, Lawrence O'Gorman, Michael Coss, Shubham Jain:
Data-Side Efficiencies for Lightweight Convolutional Neural Networks. CoRR abs/2308.13057 (2023) - [i21]Bryan Bo Cao, Abrar Alali, Hansi Liu, Nicholas Meegan, Marco Gruteser, Kristin J. Dana, Ashwin Ashok, Shubham Jain:
ViFiT: Reconstructing Vision Trajectories from IMU and Wi-Fi Fine Time Measurements. CoRR abs/2310.03140 (2023) - [i20]Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang:
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. CoRR abs/2310.13818 (2023) - [i19]Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye:
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models. CoRR abs/2310.15007 (2023) - 2022
- [j18]Md. Rashed Rahman, T. V. Sethuraman, Marco Gruteser, Kristin J. Dana, Shubham Jain, Narayan B. Mandayam, Ashwin Ashok:
Camera-Based Light Emitter Localization Using Correlation of Optical Pilot Sequences. IEEE Access 10: 24368-24382 (2022) - [j17]Tanmay Srivastava, Prerna Khanna, Shijia Pan, Phuc Nguyen, Shubham Jain:
MuteIt: Jaw Motion Based Unvoiced Command Recognition Using Earable. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 140:1-140:26 (2022) - [j16]Meshari Aljohani, Stephan Olariu, Abrar Alali, Shubham Jain:
A Survey of Parking Solutions for Smart Cities. IEEE Trans. Intell. Transp. Syst. 23(8): 10012-10029 (2022) - [j15]Reena Elangovan, Shubham Jain, Anand Raghunathan:
Ax-BxP: Approximate Blocked Computation for Precision-reconfigurable Deep Neural Network Acceleration. ACM Trans. Design Autom. Electr. Syst. 27(3): 28:1-28:20 (2022) - [c63]Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang:
Learning from Disagreement for Event Detection. IEEE Big Data 2022: 2411-2418 - [c62]Moinak Bhattacharya, Shubham Jain, Prateek Prasanna:
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification. ECCV (21) 2022: 679-698 - [c61]Shubham Jain, Amy de Buitléir, Enda Fallon:
An Extensible Parsing Pipeline for Unstructured Data Processing. ICACT 2022: 312-318 - [c60]Hansi Liu, Abrar Alali, Mohamed Ibrahim, Bryan Bo Cao, Nicholas Meegan, Hongyu Li, Marco Gruteser, Shubham Jain, Kristin J. Dana, Ashwin Ashok, Bin Cheng, Hongsheng Lu:
Vi-Fi: Associating Moving Subjects across Vision and Wireless Sensors. IPSN 2022: 208-219 - [c59]Dimitris Vordonis, Dimitris Giannopoulos, Panagiotis Papaioannou, Christos Tranoris, Spyros G. Denazis, Ran Rahav, Baruch Altman, Anne-Marie Bosneag, Shubham Jain, Udi Margolin, Bader Mawasy, Konstantinos Oikonomou, Ioannis Markopoulos:
Monitoring and Evaluation of 5G Key Performance Indicators in Media Vertical Applications. MeditCom 2022: 203-208 - [c58]Moinak Bhattacharya, Shubham Jain, Prateek Prasanna:
GazeRadar: A Gaze and Radiomics-Guided Disease Localization Framework. MICCAI (3) 2022: 686-696 - [c57]Tanmay Srivastava, Prerna Khanna, Shijia Pan, Phuc Nguyen, Shubham Jain:
Leveraging earables for unvoiced command recognition. MobiSys 2022: 622-623 - [c56]Bryan Bo Cao, Abrar Alali, Hansi Liu, Nicholas Meegan, Marco Gruteser, Kristin J. Dana, Ashwin Ashok, Shubham Jain:
ViTag: Online WiFi Fine Time Measurements Aided Vision-Motion Identity Association in Multi-person Environments. SECON 2022: 19-27 - [c55]Shubham Jain, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning. USENIX Security Symposium 2022: 2317-2334 - [i18]Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei Zhang:
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework. CoRR abs/2201.07849 (2022) - [i17]Moinak Bhattacharya, Shubham Jain, Prateek Prasanna:
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification. CoRR abs/2202.11781 (2022) - [i16]Nicholas Meegan, Hansi Liu, Bryan Bo Cao, Abrar Alali, Kristin J. Dana, Marco Gruteser, Shubham Jain, Ashwin Ashok:
ViFiCon: Vision and Wireless Association Via Self-Supervised Contrastive Learning. CoRR abs/2210.05513 (2022) - [i15]Abrar Alali, Stephan Olariu, Shubham Jain:
ADOPT: A system for Alerting Drivers to Occluded Pedestrian Traffic. CoRR abs/2212.00137 (2022) - 2021
- [j14]Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan:
RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(2): 326-338 (2021) - [j13]Sourjya Roy, Shrihari Sridharan, Shubham Jain, Anand Raghunathan:
TxSim: Modeling Training of Deep Neural Networks on Resistive Crossbar Systems. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 730-738 (2021) - [c54]Indranil Chakraborty, Sourjya Roy, Shrihari Sridharan, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Anand Raghunathan:
Design Tools for Resistive Crossbar based Machine Learning Accelerators. AICAS 2021: 1-4 - [c53]Gabriele Obermeier, Shubham Jain, Andreas Auinger, Dirk Werth:
The Impact of Prior Experience on Customers Using a Mixed-Reality Shopping Assistant. AMCIS 2021 - [c52]Shubham Jain, Amy de Buitléir, Enda Fallon:
An Extensible Parsing Pipeline for Unstructured Data Processing. ICACT 2021: 312-318 - [c51]Shubham Jain, Amy de Buitléir, Enda Fallon:
A Framework for Adaptive Deep Reinforcement Semantic Parsing of Unstructured Data. ICTC 2021: 1055-1060 - [c50]Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan:
RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. ISCA 2021: 153-166 - [c49]Jeffin Joy, Swetha Clara Jose, Vijaya Kumar Kanchetla, Shubham Jain, Rajesh H. Zele:
A High-Gain Low-Offset Baseband Design for Multi-Standard Navigation Receivers. ISCAS 2021: 1-5 - [c48]Shubham Jain, Thomas Schweiß, Simon Bender, Dirk Werth:
Omnichannel Retail Customer Experience with Mixed-Reality Shopping Assistant Systems. ISVC (1) 2021: 504-517 - [c47]Sri Pramodh Rachuri, Francesco Bronzino, Shubham Jain:
Decentralized modular architecture for live video analytics at the edge. HotEdgeVideo@MobiCom 2021: 13-18 - [c46]Morteza Mohammady Gharasuie, Noah Jennings, Shubham Jain:
Performance Monitoring for Exercise Movements using Mobile Cameras. BodySys@MobiSys 2021: 1-6 - [c45]Hanke Kimm, Amy Yopp Sullivan, Shubham Jain:
MoveFeel: Expressive Dance Movement Determination Through Video Analysis. BodySys@MobiSys 2021: 18-23 - [c44]Hansi Liu, Abrar Alali, Mohamed Ibrahim, Hongyu Li, Marco Gruteser, Shubham Jain, Kristin J. Dana, Ashwin Ashok, Bin Cheng, Hongsheng Lu:
Lost and Found!: associating target persons in camera surveillance footage with smartphone identifiers. MobiSys 2021: 499-500 - [c43]Prerna Khanna, Tanmay Srivastava, Shijia Pan, Shubham Jain, Phuc Nguyen:
JawSense: Recognizing Unvoiced Sound using a Low-cost Ear-worn System. HotMobile 2021: 44-49 - [c42]Prerna Khanna, Tanmay Srivastava, Shijia Pan, Shubham Jain, Phuc Nguyen:
JawSense: Recognizing Unvoiced Sound using a Low-cost Ear-worn System. HotMobile 2021: 177-178 - [i14]Shubham Jain, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning. CoRR abs/2106.09820 (2021) - [i13]Saranga Kingkor Mahanta, Darsh Kaushik, Shubham Jain, Hoang Van Truong, Koushik Guha:
COVID-19 Diagnosis from Cough Acoustics using ConvNets and Data Augmentation. CoRR abs/2110.06123 (2021) - 2020
- [j12]Ameya Wagh, Shubham Jain, Apratim Mukherjee, Emmanuel Agu, Peder C. Pedersen, Diane M. Strong, Bengisu Tulu, Clifford Lindsay, Ziyang Liu:
Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches. IEEE Access 8: 181590-181604 (2020) - [j11]Swagath Venkataramani, Xiao Sun, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Mingu Kang, Ankur Agarwal, Jinwook Oh, Shubham Jain, Tina Babinsky, Nianzheng Cao, Thomas W. Fox, Bruce M. Fleischer, George Gristede, Michael Guillorn, Howard Haynie, Hiroshi Inoue, Kazuaki Ishizaki, Michael J. Klaiber, Shih-Hsien Lo, Gary W. Maier, Silvia M. Mueller, Michael Scheuermann, Eri Ogawa, Marcel Schaal, Mauricio J. Serrano, Joel Silberman, Christos Vezyrtzis, Wei Wang, Fanchieh Yee, Jintao Zhang, Matthew M. Ziegler, Ching Zhou, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Vijayalakshmi Srinivasan, Leland Chang, Kailash Gopalakrishnan:
Efficient AI System Design With Cross-Layer Approximate Computing. Proc. IEEE 108(12): 2232-2250 (2020) - [j10]Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Sourjya Roy, Shrihari Sridharan, Amogh Agrawal, Anand Raghunathan, Kaushik Roy:
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges. Proc. IEEE 108(12): 2276-2310 (2020) - [j9]Shubham Jain, Anand Raghunathan:
CxDNN: Hardware-software Compensation Methods for Deep Neural Networks on Resistive Crossbar Systems. ACM Trans. Embed. Comput. Syst. 18(6): 113:1-113:23 (2020) - [j8]Shubham Jain, Sumeet Kumar Gupta, Anand Raghunathan:
TiM-DNN: Ternary In-Memory Accelerator for Deep Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 28(7): 1567-1577 (2020) - [c41]Daniel Alejandro Mora Hernandez, Shubham Jain, Oliver Nalbach, Dirk Werth:
Holographic Recommendations in Brick-and-Mortar Stores. AMCIS 2020 - [c40]Shubham Jain, Amy de Buitléir, Enda Fallon:
Unsupervised Noise Detection in Unstructured data for Automatic Parsing. CNSM 2020: 1-5 - [c39]Sandeep Krishna Thirumala, Shubham Jain, Sumeet Kumar Gupta, Anand Raghunathan:
Ternary Compute-Enabled Memory using Ferroelectric Transistors for Accelerating Deep Neural Networks. DATE 2020: 31-36 - [c38]David Brooks, Martin M. Frank, Tayfun Gokmen, Udit Gupta, Xiaobo Sharon Hu, Shubham Jain, Ann Franchesca Laguna, Michael T. Niemier, Ian O'Connor, Anand Raghunathan, Ashish Ranjan, Dayane Reis, Jacob R. Stevens, Carole-Jean Wu, Xunzhao Yin:
Emerging Neural Workloads and Their Impact on Hardware. DATE 2020: 1462-1471 - [c37]Daniel Alejandro Mora Hernandez, Shubham Jain, Oliver Nalbach, Dirk Werth:
An In-store Recommender System Leveraging the Microsoft HoloLens. HCI (39) 2020: 99-107 - [c36]Shubham Jain, Bhagath Parabattina, Pradip Kumar Das:
Speech Signal Analysis for Language Identification Using Tensors. MIND (2) 2020: 296-309 - [c35]Shubham Jain:
Multi-city street-sidewalk imagery from pedestrian mobile cameras: dataset. DATA@SenSys 2020: 20-22 - [i12]Sourjya Roy, Shrihari Sridharan, Shubham Jain, Anand Raghunathan:
TxSim: Modeling Training of Deep Neural Networks on Resistive Crossbar Systems. CoRR abs/2002.11151 (2020) - [i11]Slobodan Milanko, Alexander Launi, Shubham Jain:
Designing Just-in-Time Detection for Gamified Fitness Frameworks. CoRR abs/2005.08834 (2020) - [i10]Reena Elangovan, Shubham Jain, Anand Raghunathan:
Ax-BxP: Approximate Blocked Computation for Precision-Reconfigurable Deep Neural Network Acceleration. CoRR abs/2011.13000 (2020)
2010 – 2019
- 2019
- [j7]Xixuan Zhao, Ziyang Liu, Emmanuel Agu, Ameya Wagh, Shubham Jain, Clifford Lindsay, Bengisu Tulu, Diane M. Strong, Jiangming Kan:
Fine-Grained Diabetic Wound Depth and Granulation Tissue Amount Assessment Using Bilinear Convolutional Neural Network. IEEE Access 7: 179151-179162 (2019) - [j6]Shubham Jain, Aayush Ankit, Indranil Chakraborty, Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch, Kaushik Roy, Anand Raghunathan:
Neural network accelerator design with resistive crossbars: Opportunities and challenges. IBM J. Res. Dev. 63(6): 10:1-10:13 (2019) - [j5]Sanchari Sen, Shubham Jain, Swagath Venkataramani, Anand Raghunathan:
SparCE: Sparsity Aware General-Purpose Core Extensions to Accelerate Deep Neural Networks. IEEE Trans. Computers 68(6): 912-925 (2019) - [j4]Shubham Jain, Marco Gruteser:
Recognizing Textures with Mobile Cameras for Pedestrian Safety Applications. IEEE Trans. Mob. Comput. 18(8): 1911-1923 (2019) - [c34]Axel Oehmichen, Shubham Jain, Andrea Gadotti, Yves-Alexandre de Montjoye:
OPAL: High performance platform for large-scale privacy-preserving location data analytics. IEEE BigData 2019: 1332-1342 - [c33]Slobodan Milanko, Shubham Jain:
Demo Abstract: LiftRight: Quantifying Training Performance using a Wearable Sensor. CHASE 2019: 1-2 - [c32]Noah Jennings, Shubham Jain:
Demo Abstract: MirrorMatch: Real-Time Detection of Repetitive Movements using Smartphone Camera. CHASE 2019: 3-4 - [c31]Ashish Ranjan, Shubham Jain, Jacob R. Stevens, Dipankar Das, Bharat Kaul, Anand Raghunathan:
X-MANN: A Crossbar based Architecture for Memory Augmented Neural Networks. DAC 2019: 130 - [c30]Shubham Jain, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang:
BiScaled-DNN: Quantizing Long-tailed Datastructures with Two Scale Factors for Deep Neural Networks. DAC 2019: 201 - [c29]Shubham Jain, Dirk Werth:
Current State of Mixed Reality Technology for Digital Retail: A Literature Review. HCI (23) 2019: 22-37 - [c28]Sandeep Krishna Thirumala, Shubham Jain, Anand Raghunathan, Sumeet Kumar Gupta:
Non-Volatile Memory utilizing Reconfigurable Ferroelectric Transistors to enable Differential Read and Energy-Efficient In-Memory Computation. ISLPED 2019: 1-6 - [c27]Hansi Liu, Pengfei Ren, Shubham Jain, Mohannad Murad, Marco Gruteser, Fan Bai:
FusionEye: Perception Sharing for Connected Vehicles and its Bandwidth-Accuracy Trade-offs. SECON 2019: 1-9 - [c26]Shubham Jain, Minsik Hong, Jerzy W. Rozenblit:
Proficiency Based Planner for Safe Path Planning and Applications in Surgical Training. SpringSim 2019: 1-12 - [c25]Shubham Jain, Eden Bensaid, Yves-Alexandre de Montjoye:
UNVEIL: Capture and Visualise WiFi Data Leakages. WWW 2019: 3550-3554 - [p1]Ashish Ranjan, Swagath Venkataramani, Shubham Jain, Younghoon Kim, Shankar Ganesh Ramasubramanian, Arnab Raha, Kaushik Roy, Anand Raghunathan:
Automatic Synthesis Techniques for Approximate Circuits. Approximate Circuits 2019: 123-140 - [i9]Shubham Jain, Sumeet Kumar Gupta, Anand Raghunathan:
TiM-DNN: Ternary in-Memory accelerator for Deep Neural Networks. CoRR abs/1909.06892 (2019) - [i8]Sandeep Krishna Thirumala, Yi-Tse Hung, Shubham Jain, Arnab Raha, Niharika Thakuria, Vijay Raghunathan, Anand Raghunathan, Zhihong Chen, Sumeet Kumar Gupta:
Valley-Coupled-Spintronic Non-Volatile Memories with Compute-In-Memory Support. CoRR abs/1912.07821 (2019) - 2018
- [j3]Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - [j2]Shubham Jain, Ashish Ranjan, Kaushik Roy, Anand Raghunathan:
Computing in Memory With Spin-Transfer Torque Magnetic RAM. IEEE Trans. Very Large Scale Integr. Syst. 26(3): 470-483 (2018) - [j1]Hang Qiu, Jinzhu Chen, Shubham Jain, Yurong Jiang, Matthew McCartney, Gorkem Kar, Fan Bai, Donald Grimm, Marco Gruteser, Ramesh Govindan:
Towards Robust Vehicular Context Sensing. IEEE Trans. Veh. Technol. 67(3): 1909-1922 (2018) - [c24]Shubham Jain, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Pierce Chuang, Leland Chang:
Compensated-DNN: energy efficient low-precision deep neural networks by compensating quantization errors. DAC 2018: 38:1-38:6 - [c23]Shubham Jain, Sachin S. Sapatnekar, Jianping Wang, Kaushik Roy, Anand Raghunathan:
Computing-in-memory with spintronics. DATE 2018: 1640-1645 - [c22]Christianne Nesbitt, Ajay Gupta, Shubham Jain, Kurt Maly, Hamid Reza Okhravi:
Reliability of Wearable Sensors to Detect Agitation in Patients with Dementia: A Pilot Study. ICBBT 2018: 73-77 - [c21]Justin Whitlock, Orkun Krand, Shubham Jain:
Understanding activity segmentation for multi-sport competitions. WearSys@MobiSys 2018: 16-20 - [i7]Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan:
Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars. CoRR abs/1809.00072 (2018) - 2017
- [c20]Gorkem Kar, Shubham Jain, Marco Gruteser, Jinzhu Chen, Fan Bai, Ramesh Govindan:
PredriveID: pre-trip driver identification from in-vehicle data. SEC 2017: 2:1-2:12 - [c19]Gorkem Kar, Shubham Jain, Marco Gruteser, Fan Bai, Ramesh Govindan:
Real-time traffic estimation at vehicular edge nodes. SEC 2017: 3:1-3:13 - [c18]Shubham Jain, Govind Mohan, Adwitiya Sinha:
Network diffusion for information propagation in online social communities. IC3 2017: 1-3 - [c17]Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron C. Courville, Yoshua Bengio:
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model. ICLR (Poster) 2017 - [c16]Shubham Jain, Viet Nguyen, Marco Gruteser, Paramvir Bahl:
Panoptes: servicing multiple applications simultaneously using steerable cameras. IPSN 2017: 119-130 - [c15]Jay Patravali, Shubham Jain, Sasank Chilamkurthy:
2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation. STACOM@MICCAI 2017: 130-139 - [c14]Shubham Jain, Shubham Sharma, Dhawal Babbar:
Star-Force: A Playful Implementation of the Jedi-force. TEI 2017: 761-766 - [c13]M. Prudhvi Deep, Shubham Jain, P. Ubaidulla:
Optimal Resource Allocation and Relay Selection for Self-Sustainable Relaying Networks. VTC Spring 2017: 1-5 - [c12]M. Prudhvi Deep, Shubham Jain, P. Ubaidulla:
Relay Selection and Resource Allocation for Energy Harvesting Cooperative Networks. VTC Spring 2017: 1-6 - [i6]Shubham Jain, Ashish Ranjan, Kaushik Roy, Anand Raghunathan:
Computing in Memory with Spin-Transfer Torque Magnetic RAM. CoRR abs/1703.02118 (2017) - [i5]Jay Patravali, Shubham Jain, Sasank Chilamkurthy:
2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation. CoRR abs/1707.09813 (2017) - [i4]Shubham Jain, Marco Gruteser:
Recognizing Textures with Mobile Cameras for Pedestrian Safety Applications. CoRR abs/1711.00558 (2017) - [i3]Sanchari Sen, Shubham Jain, Swagath Venkataramani, Anand Raghunathan:
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks. CoRR abs/1711.06315 (2017) - 2016
- [c11]Shubham Jain, Swagath Venkataramani, Anand Raghunathan:
Approximation through logic isolation for the design of quality configurable circuits. DATE 2016: 612-617 - [e1]Shubham Jain, Yasaman Ghasem Pour:
Proceedings of the Eighth Wireless of the Students, by the Students, and for the Students Workshop, S3@MobiCom 2016, New York City, NY, USA, October 7, 2016. ACM 2016, ISBN 978-1-4503-4255-1 [contents] - [i2]Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron C. Courville, Yoshua Bengio:
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model. CoRR abs/1612.07837 (2016) - 2015
- [c10]Shubham Jain, Prashant Gupta, Vikash Kumar, Kamal Sharma:
A force-controlled portrait drawing robot. ICIT 2015: 3160-3165 - [c9]Shubham Jain:
Gradient Profiling for Pedestrian Services. MobiSys PhDForum 2015: 11-12 - [c8]Shubham Jain, Carlo Borgiattino, Yanzhi Ren, Marco Gruteser, Yingying Chen, Carla-Fabiana Chiasserini:
LookUp: Enabling Pedestrian Safety Services via Shoe Sensing. MobiSys 2015: 257-271 - [c7]Shubham Jain, Carlo Borgiattino, Yanzhi Ren, Marco Gruteser, Yingying Chen, Carla-Fabiana Chiasserini:
Video: LookUp!: Enabling Pedestrian Safety Services via Shoe Sensing. MobiSys 2015: 435 - 2014
- [c6]Trisha Datta, Shubham Jain, Marco Gruteser:
Towards City-Scale Smartphone Sensing of Potentially Unsafe Pedestrian Movements. MASS 2014: 663-667 - [c5]Shubham Jain, Carlo Borgiattino, Yanzhi Ren, Marco Gruteser, Yingying Chen:
On the limits of positioning-based pedestrian risk awareness. MARS@MobiSys 2014: 23-28 - [c4]Ashwin Ashok, Shubham Jain, Marco Gruteser, Narayan B. Mandayam, Wenjia Yuan, Kristin J. Dana:
Capacity of pervasive camera based communication under perspective distortions. PerCom 2014: 112-120 - 2013
- [c3]Shubham Jain, Aditya Nigam, Phalguni Gupta:
Age-Invariant Face Recognition Using Shape Transformation. ICIC (1) 2013: 453-461 - [c2]Prateek Prasanna, Shubham Jain, Neelakshi Bhagat, Anant Madabhushi:
Decision support system for detection of diabetic retinopathy using smartphones. PervasiveHealth 2013: 176-179 - [c1]Ravitashaw Bathla, Shubham Jain, Rajeev Singh:
Introducing a Novel Parameter in Generation of Course Timetable with Genetic Algorithm. SocProS (1) 2013: 321-332 - [i1]Anupam Shukla, Gaurav Ojha, Sachin Acharya, Shubham Jain:
A customized flocking algorithm for swarms of sensors tracking a swarm of targets. CoRR abs/1311.6981 (2013)
Coauthor Index
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