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ORCIDRajesh K. Gupta 0001
Rajesh Gupta 0001
Person information
- affiliation: University of California San Diego, La Jolla, CA, USA
- affiliation (PhD 1994): Stanford University, CA, USA
Other persons with the same name
- Rajesh K. Gupta — disambiguation page
- Rajesh K. Gupta 0002
![[0000-0002-7055-0839]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7055-0839")
— Central University of Haryana, School of Physical and Mathematical Sciences, Department of Mathematics, India (and 1 more) - Rajesh Gupta — disambiguation page
- Rajesh Gupta 0002 (aka: Rajesh Kumar Gupta 0001) — Mutilal Nehru National Institute of Technology, Allahabad, India (and 1 more)
- Rajesh Gupta 0003 — IBM East Fishkill, Hopewell Junction, NY, USA (and 2 more)
- Rajesh Gupta 0004 — Motorola India Electronics, Bangalore, India
- Rajesh Gupta 0005 — Visvesvaraya National Institute of Technology, Nagpur, India
- Rajesh Gupta 0006 — IIT, Bombay, India
- Rajesh Gupta 0007 — Nirma University, Institute of Technology, Ahmedabad, India
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2020 – today
- 2024
[c235]Hsin-Yu Liu, Bharathan Balaji, Rajesh K. Gupta, Dezhi Hong:
Adaptive Policy Regularization for Offline-to-Online Reinforcement Learning in HVAC Control. BuildSys 2024- [c234]Xiaohan Fu, Yihao Liu, Jason Koh, Dezhi Hong, Rajesh Gupta, Gabe Fierro:
Playground: A Safe Building Operating System. ICCPS 2024: 111-122 - [c233]Xiaohan Fu, Yihao Liu, Jason Koh, Dezhi Hong, Rajesh Gupta, Gabe Fierro:
Demo Abstract: Playground, A Safe Building Operating System. ICCPS 2024: 271-272 - [c232]Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta, Jingbo Shang:
Large Language Models for Time Series: A Survey. IJCAI 2024: 8335-8343 - [c231]Jiayun Zhang, Shuheng Li, Haiyu Huang, Zihan Wang, Xiaohan Fu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments. WWW 2024: 2976-2985 - [i23]Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta, Jingbo Shang:
Large Language Models for Time Series: A Survey. CoRR abs/2402.01801 (2024) - [i22]Han Guo, Ramtin Hosseini, Ruiyi Zhang, Sai Ashish Somayajula, Ranak Roy Chowdhury, Rajesh K. Gupta, Pengtao Xie:
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization. CoRR abs/2402.18128 (2024) - [i21]Yuexin Bian, Xiaohan Fu, Rajesh K. Gupta, Yuanyuan Shi:
Ventilation and Temperature Control for Energy-efficient and Healthy Buildings: A Differentiable PDE Approach. CoRR abs/2403.08996 (2024) - [i20]Xiaohan Fu, Shuheng Li, Zihan Wang, Yihao Liu, Rajesh K. Gupta, Taylor Berg-Kirkpatrick, Earlence Fernandes:
Imprompter: Tricking LLM Agents into Improper Tool Use. CoRR abs/2410.14923 (2024) - [i19]Xiyuan Zhang, Diyan Teng, Ranak Roy Chowdhury, Shuheng Li, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
UniMTS: Unified Pre-training for Motion Time Series. CoRR abs/2410.19818 (2024) - 2023
- [c230]Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
PrimeNet: Pre-training for Irregular Multivariate Time Series. AAAI 2023: 7184-7192 - [c229]Xiyuan Zhang, Ranak Roy Chowdhury, Jiayun Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Unleashing the Power of Shared Label Structures for Human Activity Recognition. CIKM 2023: 3340-3350 - [c228]Hsin-Yu Liu, Bharathan Balaji, Rajesh Gupta, Dezhi Hong:
Rule-based Policy Regularization for Reinforcement Learning-based Building Control. e-Energy 2023: 242-265 - [c227]Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
Towards Diverse and Coherent Augmentation for Time-Series Forecasting. ICASSP 2023: 1-5 - [c226]Jiayun Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework. IJCAI 2023: 2450-2458 - [c225]Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework. KDD 2023: 3297-3308 - [c224]Xiyuan Zhang, Xiaohan Fu, Diyan Teng, Chengyu Dong, Keerthivasan Vijayakumar, Jiayun Zhang, Ranak Roy Chowdhury, Junsheng Han, Dezhi Hong, Rashmi Kulkarni, Jingbo Shang, Rajesh K. Gupta:
Physics-Informed Data Denoising for Real-Life Sensing Systems. SenSys 2023: 83-96 - [c223]Yuexin Bian, Xiaohan Fu, Bo Liu, Rohith Rachala, Rajesh K. Gupta, Yuanyuan Shi:
BEAR-Data: Analysis and Applications of an Open Multizone Building Dataset. BuildSys 2023: 240-243 - [c222]Xiaohan Fu, John Pedraz, Anthony Rowe, Rajesh Gupta:
Debugging Buildings with Mixed Reality. BuildSys 2023: 276-277 - [i18]Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Federated Learning with Client-Exclusive Classes. CoRR abs/2301.00489 (2023) - [i17]Xiyuan Zhang, Ranak Roy Chowdhury, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Modeling Label Semantics Improves Activity Recognition. CoRR abs/2301.03462 (2023) - [i16]Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh Gupta, Dezhi Hong:
Towards Diverse and Coherent Augmentation for Time-Series Forecasting. CoRR abs/2303.14254 (2023) - [i15]Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K. Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes:
Misusing Tools in Large Language Models With Visual Adversarial Examples. CoRR abs/2310.03185 (2023) - [i14]Xiyuan Zhang, Xiaohan Fu, Diyan Teng, Chengyu Dong, Keerthivasan Vijayakumar, Jiayun Zhang, Ranak Roy Chowdhury, Junsheng Han, Dezhi Hong, Rashmi Kulkarni, Jingbo Shang, Rajesh Gupta:
Physics-Informed Data Denoising for Real-Life Sensing Systems. CoRR abs/2311.06968 (2023) - 2022
- [j95]Alice Sokolova, Dhiman Sengupta, Martin Hunt, Rajesh K. Gupta, Baris Aksanli, Fredric J. Harris, Harinath Garudadri:
Real-Time Multirate Multiband Amplification for Hearing Aids. IEEE Access 10: 54301-54312 (2022) - [j94]Omid Assare, Rajesh K. Gupta:
Performance Analysis of Timing-Speculative Processors. IEEE Trans. Computers 71(2): 407-420 (2022) - [c221]Hsin-Yu Liu, Bharathan Balaji, Sicun Gao, Rajesh K. Gupta, Dezhi Hong:
Safe HVAC Control via Batch Reinforcement Learning. ICCPS 2022: 181-192 - [c220]Ranak Roy Chowdhury, Xiyuan Zhang, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
TARNet: Task-Aware Reconstruction for Time-Series Transformer. KDD 2022: 212-220 - [c219]Shuheng Li, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
SQEE: A Machine Perception Approach to Sensing Quality Evaluation at the Edge by Uncertainty Quantification. SenSys 2022: 277-290 - [c218]Hsin-Yu Liu, Xiaohan Fu, Bharathan Balaji, Rajesh Gupta, Dezhi Hong:
B2RL: an open-source dataset for building batch reinforcement learning. BuildSys 2022: 462-465 - [c217]Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
ESC-GAN: Extending Spatial Coverage of Physical Sensors. WSDM 2022: 1347-1356 - [i13]Hsin-Yu Liu, Xiaohan Fu, Bharathan Balaji, Rajesh Gupta, Dezhi Hong:
B2RL: An open-source Dataset for Building Batch Reinforcement Learning. CoRR abs/2209.15626 (2022) - 2021
- [j93]Rajesh K. Gupta, David Atienza:
Editorial. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1009 (2021) - [c216]Jiaman Wu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Sensei: Self-Supervised Sensor Name Segmentation. ACL/IJCNLP (Findings) 2021: 1017-1027 - [c215]Alice Sokolova, Dhiman Sengupta, Kuan-Lin Chen, Rajesh K. Gupta, Baris Aksanli, Fredric J. Harris, Harinath Garudadri:
Multirate Audiometric Filter Bank for Hearing Aid Devices. ACSCC 2021: 1436-1442 - [c214]Hamed Omidvar, Vahideh Akhlaghi, Hao Su, Massimo Franceschetti, Rajesh K. Gupta:
Associative Convolutional Layers. AISTATS 2021: 3115-3123 - [c213]Francesco Fraternali, Bharathan Balaji, Dezhi Hong, Yuvraj Agarwal, Rajesh K. Gupta:
Marble: collaborative scheduling of batteryless sensors with meta reinforcement learning. BuildSys 2021: 140-149 - [c212]Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh Gupta:
Marble: collaborative scheduling of batteryless sensors with meta reinforcement learning. BuildSys 2021: 208-209 - [c211]Shuheng Li, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification. SenSys 2021: 234-247 - [i12]Jiaman Wu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Sensei: Self-Supervised Sensor Name Segmentation. CoRR abs/2101.00130 (2021) - 2020
- [j92]Jeng-Hau Lin, Xun Jiao, Mulong Luo, Zhuowen Tu, Rajesh K. Gupta:
Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations. IEEE Des. Test 37(5): 75-84 (2020) - [j91]Rajesh Gupta, Yan Liu:
KDD 2020 Highlights. SIGKDD Explor. 22(2): 1 (2020) - [j90]Ranak Roy Chowdhury, Muhammad Abdullah Adnan, Rajesh K. Gupta:
Real-Time Principal Component Analysis. Trans. Data Sci. 1(2): 10:1-10:36 (2020) - [j89]Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh K. Gupta:
ACES: Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning. ACM Trans. Sens. Networks 16(4): 36:1-36:31 (2020) - [c210]Yang Jiao, Jiacheng Li, Jiaman Wu, Dezhi Hong, Rajesh Gupta, Jingbo Shang:
SeNsER: Learning Cross-Building Sensor Metadata Tagger. EMNLP (Findings) 2020: 950-960 - [c209]Dhiman Sengupta, Tamara Zubatiy, Sean K. Hamilton, Arthur Boothroyd, Cagri Yalcin, Dezhi Hong, Rajesh K. Gupta, Harinath Garudadri:
Open Speech Platform: Democratizing Hearing Aid Research. PervasiveHealth 2020: 223-233 - [c208]Xiaohan Fu, Jason Koh, Francesco Fraternali, Dezhi Hong, Rajesh K. Gupta:
Zonal Air Handling in Commercial Buildings. BuildSys 2020: 302-303 - [c207]Francesco Fraternali, Bharathan Balaji, Dhiman Sengupta, Dezhi Hong, Rajesh K. Gupta:
Ember: energy management of batteryless event detection sensors with deep reinforcement learning. SenSys 2020: 503-516 - [c206]Francesco Fraternali, Bharathan Balaji, Michael Barrow, Dezhi Hong, Rajesh K. Gupta:
Ember - energy management of batteryless event detection sensors with deep reinforcement learning: demo abstract. SenSys 2020: 609-610 - [c205]Jeng-Hau Lin, Justin Lazarow, Yunfan Yang, Dezhi Hong, Rajesh K. Gupta, Zhuowen Tu:
Local Binary Pattern Networks. WACV 2020: 814-823 - [e6]Rajesh Gupta, Yan Liu, Jiliang Tang, B. Aditya Prakash:
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020. ACM 2020, ISBN 978-1-4503-7998-4 [contents]
2010 – 2019
- 2019
- [j88]Louis Pisha, Harinath Garudadri, Julian Warchall, Tamara Zubatiy, Sean Hamilton, Ching Hua Lee, Ganz Chockalingam, Patrick P. Mercier, Rajesh K. Gupta, Bhaskar D. Rao:
A Wearable, Extensible, Open-Source Platform for Hearing Healthcare Research. IEEE Access 7: 162083-162101 (2019) - [j87]Rajesh K. Gupta, Subhasish Mitra, Puneet Gupta:
Variability Expeditions: A Retrospective. IEEE Des. Test 36(1): 65-67 (2019) - [c204]Omid Assare, Rajesh K. Gupta:
Accurate Estimation of Program Error Rate for Timing-Speculative Processors. DAC 2019: 180 - [c203]Jeng-Hau Lin, Atieh Lotfi, Vahideh Akhlaghi, Zhuowen Tu, Rajesh K. Gupta:
Accelerating Local Binary Pattern Networks with Software-Programmable FPGAs. DATE 2019: 1112-1117 - [c202]Jean-Pierre Talpin, Jean-Joseph Marty, Shravan Narayan, Deian Stefan, Rajesh Gupta:
Towards verified programming of embedded devices. DATE 2019: 1445-1450 - [c201]Zhou Fang, Jeng-Hau Lin, Mani B. Srivastava, Rajesh K. Gupta:
Multi-tenant mobile offloading systems for real-time computer vision applications. ICDCN 2019: 21-30 - [c200]Ranak Roy Chowdhury, Muhammad Abdullah Adnan, Rajesh K. Gupta:
Real Time Principal Component Analysis. ICDE 2019: 1678-1681 - [c199]Rajesh K. Gupta, Jason Koh, Dezhi Hong:
New models and methods for programming cyber-physical systems (keynote). LCTES 2019: 1-3 - [c198]Zhou Fang, Dezhi Hong, Rajesh K. Gupta:
Serving deep neural networks at the cloud edge for vision applications on mobile platforms. MMSys 2019: 36-47 - [c197]Jason Koh, Dezhi Hong, Shreyas Nagare, Sudershan Boovaraghavan, Yuvraj Agarwal, Rajesh K. Gupta:
Who can Access What, and When?: Understanding Minimal Access Requirements of Building Applications. BuildSys 2019: 121-124 - [c196]Gabe Fierro, Jason Koh, Yuvraj Agarwal, Rajesh K. Gupta, David E. Culler:
Beyond a House of Sticks: Formalizing Metadata Tags with Brick. BuildSys 2019: 125-134 - [c195]Jason Koh, Kuo Liang, Yiming Yang, Dezhi Hong, Yuvraj Agarwal, Rajesh Gupta:
Interactive Building Metadata Normalization. BuildSys 2019: 340-341 - [i11]Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta:
Demo Abstract: Pible: Battery-Free Mote for Perpetual Indoor BLE Applications. CoRR abs/1905.03851 (2019) - [i10]Hamed Omidvar, Vahideh Akhlaghi, Massimo Franceschetti, Rajesh K. Gupta:
Associative Convolutional Layers. CoRR abs/1906.04309 (2019) - [i9]Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh K. Gupta:
ACES - Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning. CoRR abs/1909.01968 (2019) - 2018
- [j86]Scott Davidson, Shaolin Xie, Christopher Torng, Khalid Al-Hawaj, Austin Rovinski, Tutu Ajayi, Luis Vega, Chun Zhao, Ritchie Zhao, Steve Dai, Aporva Amarnath, Bandhav Veluri, Paul Gao, Anuj Rao, Gai Liu, Rajesh K. Gupta, Zhiru Zhang, Ronald G. Dreslinski, Christopher Batten, Michael B. Taylor:
The Celerity Open-Source 511-Core RISC-V Tiered Accelerator Fabric: Fast Architectures and Design Methodologies for Fast Chips. IEEE Micro 38(2): 30-41 (2018) - [j85]Xun Jiao, Abbas Rahimi, Yu Jiang, Jianguo Wang, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta:
CLIM: A Cross-Level Workload-Aware Timing Error Prediction Model for Functional Units. IEEE Trans. Computers 67(6): 771-783 (2018) - [j84]Rajesh K. Gupta:
Editorial. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(1): 1-2 (2018) - [j83]Alessandro Antonio Nacci, Vincenzo Rana, Bharathan Balaji, Paola Spoletini, Rajesh K. Gupta, Donatella Sciuto, Yuvraj Agarwal:
BuildingRules: A Trigger-Action-Based System to Manage Complex Commercial Buildings. ACM Trans. Cyber Phys. Syst. 2(2): 13:1-13:22 (2018) - [c194]Louis Pisha, Sean Hamilton, Dhiman Sengupta, Ching Hua Lee, Krishna Chaithanya Vastare, Tamara Zubatiy, Sergio Luna, Cagri Yalcin, Alex Grant, Rajesh Gupta, Ganz Chockalingam, Bhaskar D. Rao, Harinath Garudadri:
A Wearable Platform for Research in Augmented Hearing. ACSSC 2018: 223-227 - [c193]Zhou Fang, Mulong Luo, Tong Yu, Ole J. Mengshoel, Mani B. Srivastava, Rajesh K. Gupta:
Mitigating Multi-tenant Interference in Continuous Mobile Offloading. CLOUD 2018: 20-36 - [c192]Vahideh Akhlaghi, Sicun Gao, Rajesh K. Gupta:
LEMAX: learning-based energy consumption minimization in approximate computing with quality guarantee. DAC 2018: 161:1-161:6 - [c191]Xun Jiao, Vahideh Akhlaghi, Yu Jiang, Rajesh K. Gupta:
Energy-efficient neural networks using approximate computation reuse. DATE 2018: 1223-1228 - [c190]Houssam Abbas, Indranil Saha, Yasser Shoukry, Rüdiger Ehlers, Georgios Fainekos, Rajesh Gupta, Rupak Majumdar, Dogan Ulus:
Embedded software for robotics: challenges and future directions: special session. EMSOFT 2018: 10 - [c189]Manish Gupta, Vilas Sridharan, David Roberts, Andreas Prodromou, Ashish Venkat, Dean M. Tullsen, Rajesh K. Gupta:
Reliability-Aware Data Placement for Heterogeneous Memory Architecture. HPCA 2018: 583-595 - [c188]Vahideh Akhlaghi, Amir Yazdanbakhsh, Kambiz Samadi, Rajesh K. Gupta, Hadi Esmaeilzadeh:
SnaPEA: Predictive Early Activation for Reducing Computation in Deep Convolutional Neural Networks. ISCA 2018: 662-673 - [c187]Sean Hamilton, Dhiman Sengupta, Rajesh K. Gupta:
Introducing Automatic Time Stamping (ATS) with a Reference Implementation in Swift. ISORC 2018: 138-141 - [c186]Jason Koh, Dezhi Hong, Rajesh K. Gupta, Kamin Whitehouse, Hongning Wang, Yuvraj Agarwal:
Plaster: an integration, benchmark, and development framework for metadata normalization methods. BuildSys 2018: 1-10 - [c185]Francesco Fraternali, Bharathan Balaji, Rajesh K. Gupta:
Scaling configuration of energy harvesting sensors with reinforcement learning. ENSsys@SenSys 2018: 7-13 - [c184]Jason Koh, Bharathan Balaji, Dhiman Sengupta, Julian J. McAuley, Rajesh K. Gupta, Yuvraj Agarwal:
Scrabble: transferrable semi-automated semantic metadata normalization using intermediate representation. BuildSys 2018: 11-20 - [c183]Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta:
Pible: battery-free mote for perpetual indoor BLE applications. BuildSys 2018: 168-171 - [c182]Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta:
Pible: battery-free mote for perpetual indoor BLE applications: demo abstract. BuildSys 2018: 184-185 - [e5]Rajesh Gupta, Polly Huang, Marta Gonzalez:
Proceedings of the 5th Conference on Systems for Built Environments, BuildSys 2018, Shenzen, China, November 07-08, 2018. ACM 2018, ISBN 978-1-4503-5951-1 [contents] - [i8]Jeng-Hau Lin, Yunfan Yang, Rajesh K. Gupta, Zhuowen Tu:
Local Binary Pattern Networks. CoRR abs/1803.07125 (2018) - [i7]Francesco Fraternali, Bharathan Balaji, Rajesh K. Gupta:
Scaling Configuration of Energy Harvesting Sensors with Reinforcement Learning. CoRR abs/1811.11259 (2018) - [i6]Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta:
Pible: Battery-Free Mote for Perpetual Indoor BLE Applications. CoRR abs/1812.04717 (2018) - 2017
- [j82]Zhou Fang, Mulong Luo, Fatima M. Anwar, Hao Zhuang, Rajesh K. Gupta:
Go-realtime: a lightweight framework for multiprocessor real-time system in user space. SIGBED Rev. 14(4): 46-52 (2017) - [c181]Zhou Fang, Mulong Luo, Mani B. Srivastava, Rajesh K. Gupta:
Exploiting Synchrony in Replicated State Machines. CLOUD 2017: 155-162 - [c180]Harinath Garudadri, Arthur Boothroyd, Ching Hua Lee, Swaroop Gadiyaram, Justyn Bell, Dhiman Sengupta, Sean Hamilton, Krishna Chaithanya Vastare, Rajesh K. Gupta, Bhaskar D. Rao:
A realtime, open-source speech-processing platform for research in hearing loss compensation. ACSSC 2017: 1900-1904 - [c179]Zhou Fang, Tong Yu, Ole J. Mengshoel, Rajesh K. Gupta:
QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks. CIKM 2017: 2067-2070 - [c178]Zhou Fang, Mulong Luo, Tong Yu, Ole J. Mengshoel, Mani B. Srivastava, Rajesh K. Gupta:
Mitigating multi-tenant interference on mobile offloading servers: poster abstract. SoCC 2017: 644 - [c177]Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, Rajesh K. Gupta:
Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration. CVPR Workshops 2017: 344-352 - [c176]Manish Gupta, Daniel Lowell, John Kalamatianos, Steven Raasch, Vilas Sridharan, Dean M. Tullsen, Rajesh K. Gupta:
Compiler Techniques to Reduce the Synchronization Overhead of GPU Redundant Multithreading. DAC 2017: 65:1-65:6 - [c175]Xun Jiao, Vincent Camus, Mattia Cacciotti, Yu Jiang, Christian C. Enz, Rajesh K. Gupta:
Combining structural and timing errors in overclocked inexact speculative adders. DATE 2017: 482-487 - [c174]Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta:
SLoT: A supervised learning model to predict dynamic timing errors of functional units. DATE 2017: 1183-1188 - [c173]Ritchie Zhao, Weinan Song, Wentao Zhang, Tianwei Xing, Jeng-Hau Lin, Mani B. Srivastava, Rajesh Gupta, Zhiru Zhang:
Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs. FPGA 2017: 15-24 - [c172]Atieh Lotfi, Rajesh K. Gupta:
RxRE: Throughput Optimization for High-Level Synthesis using Resource-Aware Regularity Extraction (Abstract Only). FPGA 2017: 294 - [c171]Xun Jiao, Mulong Luo, Jeng-Hau Lin, Rajesh K. Gupta:
An assessment of vulnerability of hardware neural networks to dynamic voltage and temperature variations. ICCAD 2017: 945-950 - [c170]Atieh Lotfi, Rajesh K. Gupta:
ReHLS: Resource-Aware Program Transformation Workflow for High-Level Synthesis. ICCD 2017: 533-536 - [c169]Jason Koh, Dhiman Sengupta, Julian J. McAuley, Rajesh K. Gupta, Bharathan Balaji, Yuvraj Agarwal:
Scrabble: converting unstructured metadata into brick for many buildings. BuildSys 2017: 48:1-48:2 - [c168]Jason Koh, Sandeep Sandha, Bharathan Balaji, Daniel Crawl, Ilkay Altintas, Rajesh K. Gupta, Mani B. Srivastava:
Data Hub Architecture for Smart Cities. SenSys 2017: 77:1-77:2 - [i5]Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, Rajesh K. Gupta:
Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration. CoRR abs/1707.04693 (2017) - 2016
- [j81]Abbas Rahimi, Luca Benini, Rajesh K. Gupta:
CIRCA-GPUs: Increasing Instruction Reuse Through Inexact Computing in GP-GPUs. IEEE Des. Test 33(6): 85-92 (2016) - [j80]Amirali Ghofrani, Abbas Rahimi, Miguel Angel Lastras-Montaño, Luca Benini, Rajesh K. Gupta, Kwang-Ting Cheng:
Associative Memristive Memory for Approximate Computing in GPUs. IEEE J. Emerg. Sel. Topics Circuits Syst. 6(2): 222-234 (2016) - [j79]Abbas Rahimi, Luca Benini, Rajesh K. Gupta:
Variability Mitigation in Nanometer CMOS Integrated Systems: A Survey of Techniques From Circuits to Software. Proc. IEEE 104(7): 1410-1448 (2016) - [c167]Atieh Lotfi, Abbas Rahimi, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Rajesh K. Gupta:
Grater: An approximation workflow for exploiting data-level parallelism in FPGA acceleration. DATE 2016: 1279-1284 - [c166]Vahideh Akhlaghi, Abbas Rahimi, Rajesh K. Gupta:
Resistive Bloom filters: From approximate membership to approximate computing with bounded errors. DATE 2016: 1441-1444 - [c165]Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta:
WILD: A workload-based learning model to predict dynamic delay of functional units. ICCD 2016: 185-192 - [c164]Omid Assare, Rajesh K. Gupta:
Strategies for optimal operating point selection in timing speculative processors. ICCD 2016: 584-591 - [c163]Manish Gupta, David Roberts, Mitesh R. Meswani, Vilas Sridharan, Dean M. Tullsen, Rajesh K. Gupta:
Reliability and Performance Trade-off Study of Heterogeneous Memories. MEMSYS 2016: 395-401 - [c162]Bharathan Balaji, Arka Aloke Bhattacharya, Gabriel Fierro, Jingkun Gao, Joshua Gluck, Dezhi Hong, Aslak Johansen, Jason Koh, Joern Ploennigs, Yuvraj Agarwal, Mario Berges, David E. Culler, Rajesh K. Gupta, Mikkel Baun Kjærgaard, Mani B. Srivastava, Kamin Whitehouse:
Brick: Towards a Unified Metadata Schema For Buildings. BuildSys 2016: 41-50 - [c161]Bharathan Balaji, Arka Aloke Bhattacharya, Gabe Fierro, Jingkun Gao, Joshua Gluck, Dezhi Hong, Aslak Johansen, Jason Koh, Joern Ploennigs, Yuvraj Agarwal, Mario Berges, David E. Culler, Rajesh Gupta, Mikkel Baun Kjærgaard, Mani B. Srivastava, Kamin Whitehouse:
Portable Queries Using the Brick Schema for Building Applications: Demo Abstract. BuildSys 2016: 219-220 - [i4]Jason Koh, Bharathan Balaji, Vahideh Akhlaghi, Yuvraj Agarwal, Rajesh Gupta:
Quiver: Using Control Perturbations to Increase the Observability of Sensor Data in Smart Buildings. CoRR abs/1601.07260 (2016) - 2015
- [j78]