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2020 – today
- 2024
[c65]Sergio Servantez, Joe Barrow, Kristian J. Hammond, Rajiv Jain:
Chain of Logic: Rule-Based Reasoning with Large Language Models. ACL (Findings) 2024: 2721-2733- [c64]Puneet Mathur, Vlad I. Morariu, Aparna Garimella, Franck Dernoncourt, Jiuxiang Gu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha, Rajiv Jain:
DocScript: Document-level Script Event Prediction. LREC/COLING 2024: 5140-5155 - [c63]Manan Suri, Puneet Mathur, Franck Dernoncourt, Rajiv Jain, Vlad I. Morariu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha:
DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding. EMNLP 2024: 15485-15505 - [c62]Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova:
Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. NAACL-HLT (Findings) 2024: 196-210 - [c61]Yue Jiang, Christof Lutteroth, Rajiv Jain, Christopher Tensmeyer, Varun Manjunatha, Wolfgang Stuerzlinger, Vlad I. Morariu:
FlexDoc: Flexible Document Adaptation through Optimizing both Content and Layout. VL/HCC 2024: 217-222 - [i16]Sergio Servantez, Joe Barrow, Kristian J. Hammond, Rajiv Jain:
Chain of Logic: Rule-Based Reasoning with Large Language Models. CoRR abs/2402.10400 (2024) - [i15]Sanket Biswas, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Puneet Mathur, Curtis Wigington, Tong Sun, Josep Lladós:
DocSynthv2: A Practical Autoregressive Modeling for Document Generation. CoRR abs/2406.08354 (2024) - 2023
- [j13]Koichi Kise, Richard Zanibbi, Rajiv Jain, Gernot A. Fink:
Editorial for special issue on "advanced topics in document analysis and recognition". Int. J. Document Anal. Recognit. 26(3): 171-173 (2023) - [c60]Puneet Mathur, Rajiv Jain, Jiuxiang Gu, Franck Dernoncourt, Dinesh Manocha, Vlad I. Morariu:
DocEdit: Language-Guided Document Editing. AAAI 2023: 1914-1922 - [c59]Xiuge Chen
, Namrata Srivastava, Rajiv Jain, Jennifer Healey, Tilman Dingler:
Characteristics of Deep and Skim Reading on Smartphones vs. Desktop: A Comparative Study. CHI 2023: 516:1-516:14 - [c58]Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, Xia Hu:
Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks. CIKM 2023: 4315-4319 - [c57]Sergio Servantez, Nedim Lipka, Alexa F. Siu, Milan Aggarwal, Balaji Krishnamurthy, Aparna Garimella, Kristian J. Hammond, Rajiv Jain:
Computable Contracts by Extracting Obligation Logic Graphs. ICAIL 2023: 267-276 - [c56]Puneet Mathur, Rajiv Jain, Ashutosh Mehra, Jiuxiang Gu, Franck Dernoncourt, Anandhavelu Natarajan, Quan Hung Tran, Verena Kaynig-Fittkau, Ani Nenkova, Dinesh Manocha, Vlad I. Morariu:
LayerDoc: Layer-wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents. WACV 2023: 3599-3609 - [e6]Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi:
Document Analysis and Recognition - ICDAR 2023 - 17th International Conference, San José, CA, USA, August 21-26, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14187, Springer 2023, ISBN 978-3-031-41675-0 [contents] - [e5]Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi:
Document Analysis and Recognition - ICDAR 2023 - 17th International Conference, San José, CA, USA, August 21-26, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14188, Springer 2023, ISBN 978-3-031-41678-1 [contents] - [e4]Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi:
Document Analysis and Recognition - ICDAR 2023 - 17th International Conference, San José, CA, USA, August 21-26, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14189, Springer 2023, ISBN 978-3-031-41681-1 [contents] - [e3]Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi:
Document Analysis and Recognition - ICDAR 2023 - 17th International Conference, San José, CA, USA, August 21-26, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14190, Springer 2023, ISBN 978-3-031-41684-2 [contents] - [e2]Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi:
Document Analysis and Recognition - ICDAR 2023 - 17th International Conference, San José, CA, USA, August 21-26, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14191, Springer 2023, ISBN 978-3-031-41733-7 [contents] - [e1]Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi:
Document Analysis and Recognition - ICDAR 2023 - 17th International Conference, San José, CA, USA, August 21-26, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14192, Springer 2023, ISBN 978-3-031-41730-6 [contents] - [i14]Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova:
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. CoRR abs/2310.16790 (2023) - 2022
- [j12]Sofie Beier, Sam Berlow, Esat Boucaud, Zoya Bylinskii, Tianyuan Cai, Jenae Cohn, Kathy Crowley, Stephanie L. Day, Tilman Dingler, Jonathan Dobres, Jennifer Healey, Rajiv Jain, Marjorie Jordan, Bernard Kerr, Qisheng Li, Dave B. Miller, Susanne Nobles, Alexandra Papoutsaki, Jing Qian, Tina Rezvanian, Shelley Rodrigo, Ben D. Sawyer, Shannon M. Sheppard, Bram Stein, Rick Treitman, Jen Vanek, Shaun Wallace, Benjamin Wolfe:
Readability Research: An Interdisciplinary Approach. Found. Trends Hum. Comput. Interact. 16(4): 214-324 (2022) - [j11]Debashish Pradhan, Tripti Rajput, Aravind Jembu Rajkumar, Jonathan Lazar, Rajiv Jain, Vlad I. Morariu, Varun Manjunatha:
Development and Evaluation of a Tool for Assisting Content Creators in Making PDF Files More Accessible. ACM Trans. Access. Comput. 15(1): 3:1-3:52 (2022) - [c55]Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios:
User-Entity Differential Privacy in Learning Natural Language Models. IEEE Big Data 2022: 1465-1474 - [c54]Songlin He, Tong Sun, Qiang Tang, Chase Wu, Nedim Lipka, Curtis Wigington, Rajiv Jain:
Secure and Efficient Agreement Signing Atop Blockchain and Decentralized Identity. BlockSys 2022: 3-17 - [c53]Amir Pouran Ben Veyseh, Nicole Meister, Seunghyun Yoon, Rajiv Jain, Franck Dernoncourt, Thien Huu Nguyen:
MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction. COLING 2022: 3309-3314 - [c52]Amir Pouran Ben Veyseh, Quan Hung Tran, Seunghyun Yoon, Varun Manjunatha, Hanieh Deilamsalehy, Rajiv Jain, Trung Bui, Walter Chang, Franck Dernoncourt, Thien Huu Nguyen:
Keyphrase Prediction from Video Transcripts: New Dataset and Directions. COLING 2022: 7147-7155 - [c51]Arpit Bansal, Ping-Yeh Chiang, Michael J. Curry, Rajiv Jain, Curtis Wigington, Varun Manjunatha, John P. Dickerson, Tom Goldstein:
Certified Neural Network Watermarks with Randomized Smoothing. ICML 2022: 1450-1465 - [c50]Puneet Mathur, Franck Dernoncourt, Quan Hung Tran, Jiuxiang Gu, Ani Nenkova, Vlad I. Morariu, Rajiv Jain, Dinesh Manocha:
DocLayoutTTS: Dataset and Baselines for Layout-informed Document-level Neural Speech Synthesis. INTERSPEECH 2022: 451-455 - [c49]Puneet Mathur, Vlad I. Morariu, Verena Kaynig-Fittkau, Jiuxiang Gu, Franck Dernoncourt, Quan Hung Tran, Ani Nenkova, Dinesh Manocha, Rajiv Jain:
DocTime: A Document-level Temporal Dependency Graph Parser. NAACL-HLT 2022: 993-1009 - [i13]Amir Pouran Ben Veyseh, Nicole Meister, Seunghyun Yoon, Rajiv Jain, Franck Dernoncourt, Thien Huu Nguyen:
MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction. CoRR abs/2202.09694 (2022) - [i12]Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Nikolaos Barmpalios, Rajiv Jain, Ani Nenkova, Tong Sun:
Unified Pretraining Framework for Document Understanding. CoRR abs/2204.10939 (2022) - [i11]Arpit Bansal, Ping-yeh Chiang, Michael J. Curry, Rajiv Jain, Curtis Wigington, Varun Manjunatha, John P. Dickerson, Tom Goldstein:
Certified Neural Network Watermarks with Randomized Smoothing. CoRR abs/2207.07972 (2022) - [i10]Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios:
User-Entity Differential Privacy in Learning Natural Language Models. CoRR abs/2211.01141 (2022) - 2021
- [c48]Puneet Mathur, Rajiv Jain, Franck Dernoncourt, Vlad I. Morariu, Quan Hung Tran, Dinesh Manocha:
TIMERS: Document-level Temporal Relation Extraction. ACL/IJCNLP (2) 2021: 524-533 - [c47]Joe Barrow, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad I. Morariu, Varun Manjunatha, Douglas W. Oard, Philip Resnik, Henning Wachsmuth:
Syntopical Graphs for Computational Argumentation Tasks. ACL/IJCNLP (1) 2021: 1583-1595 - [c46]Namrata Srivastava, Rajiv Jain, Jennifer Healey, Zoya Bylinskii, Tilman Dingler:
Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews. CHI Extended Abstracts 2021: 229:1-229:6 - [c45]Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu:
SelfDoc: Self-Supervised Document Representation Learning. CVPR 2021: 5652-5660 - [c44]Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko:
Black-Box Explanation of Object Detectors via Saliency Maps. CVPR 2021: 11443-11452 - [c43]Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad I. Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer:
IGA: An Intent-Guided Authoring Assistant. EMNLP (1) 2021: 5972-5985 - [c42]Vinay Aggarwal, Aparna Garimella, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Rajiv Jain:
ClauseRec: A Clause Recommendation Framework for AI-aided Contract Authoring. EMNLP (1) 2021: 8770-8776 - [c41]Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu:
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. NAACL-HLT 2021: 915-929 - [c40]Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Nikolaos Barmpalios, Ani Nenkova, Tong Sun:
UniDoc: Unified Pretraining Framework for Document Understanding. NeurIPS 2021: 39-50 - [c39]Amir Pouran Ben Veyseh, Franck Dernoncourt, Quan Hung Tran, Varun Manjunatha, Lidan Wang, Rajiv Jain, Doo Soon Kim, Walter Chang, Thien Huu Nguyen:
Inducing Rich Interaction Structures Between Words for Document-Level Event Argument Extraction. PAKDD (2) 2021: 703-715 - [i9]Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu:
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. CoRR abs/2103.06922 (2021) - [i8]Namrata Srivastava, Rajiv Jain, Jennifer Healey, Zoya Bylinskii, Tilman Dingler:
Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews. CoRR abs/2104.06603 (2021) - [i7]Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad I. Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer:
IGA : An Intent-Guided Authoring Assistant. CoRR abs/2104.07000 (2021) - [i6]Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu:
SelfDoc: Self-Supervised Document Representation Learning. CoRR abs/2106.03331 (2021) - [i5]Sofie Beier, Sam Berlow, Esat Boucaud, Zoya Bylinskii, Tianyuan Cai, Jenae Cohn, Kathy Crowley, Stephanie L. Day, Tilman Dingler, Jonathan Dobres, Jennifer Healey, Rajiv Jain, Marjorie Jordan, Bernard Kerr, Qisheng Li, Dave B. Miller, Susanne Nobles, Alexandra Papoutsaki, Jing Qian, Tina Rezvanian, Shelley Rodrigo, Ben D. Sawyer, Shannon M. Sheppard, Bram Stein, Rick Treitman, Jen Vanek, Shaun Wallace, Benjamin Wolfe:
Readability Research: An Interdisciplinary Approach. CoRR abs/2107.09615 (2021) - [i4]Vinay Aggarwal, Aparna Garimella, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Rajiv Jain:
CLAUSEREC: A Clause Recommendation Framework for AI-aided Contract Authoring. CoRR abs/2110.15794 (2021) - 2020
- [c38]Joe Barrow, Rajiv Jain, Vlad I. Morariu, Varun Manjunatha, Douglas W. Oard, Philip Resnik:
A Joint Model for Document Segmentation and Segment Labeling. ACL 2020: 313-322 - [c37]Brian L. Davis, Bryan S. Morse, Brian L. Price, Chris Tensmeyer, Curtis Wigington, Rajiv Jain:
Text and Style Conditioned GAN for the Generation of Offline-Handwriting Lines. BMVC 2020 - [c36]Pramuditha Perera, Vlad I. Morariu, Rajiv Jain, Varun Manjunatha, Curtis Wigington, Vicente Ordonez, Vishal M. Patel:
Generative-Discriminative Feature Representations for Open-Set Recognition. CVPR 2020: 11811-11820 - [i3]SungJin Nam, Zoya Bylinskii, Christopher Tensmeyer, Curtis Wigington, Rajiv Jain, Tong Sun:
Using Behavioral Interactions from a Mobile Device to Classify the Reader's Prior Familiarity and Goal Conditions. CoRR abs/2004.12016 (2020) - [i2]Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko:
Black-box Explanation of Object Detectors via Saliency Maps. CoRR abs/2006.03204 (2020) - [i1]Brian L. Davis, Chris Tensmeyer, Brian L. Price, Curtis Wigington, Bryan S. Morse, Rajiv Jain:
Text and Style Conditioned GAN for Generation of Offline Handwriting Lines. CoRR abs/2009.00678 (2020)
2010 – 2019
- 2019
- [c35]Rajiv Jain, Curtis Wigington:
Multimodal Document Image Classification. ICDAR 2019: 71-77 - 2015
- [b1]Rajiv Jain:
Searching Heterogeneous Document Image Collections. University of Maryland, College Park, MD, USA, 2015 - [c34]Hongxing Gao, Marçal Rusiñol, Dimosthenis Karatzas, Josep Lladós, Rajiv Jain, David S. Doermann:
Novel line verification for multiple instance focused retrieval in document collections. ICDAR 2015: 481-485 - [c33]Rajiv Jain, David S. Doermann:
Localized document image change detection. ICDAR 2015: 786-790 - 2014
- [c32]Rajiv Jain, Douglas W. Oard, David S. Doermann:
Scalable ranked retrieval using document images. DRR 2014: 90210K-90210K-15 - [c31]Rajiv Jain, David S. Doermann:
Combining Local Features for Offline Writer Identification. ICFHR 2014: 583-588 - 2013
- [c30]Rajiv Jain, David S. Doermann:
VisualDiff: Document Image Verification and Change Detection. ICDAR 2013: 40-44 - [c29]Rajiv Jain, David S. Doermann:
Writer Identification Using an Alphabet of Contour Gradient Descriptors. ICDAR 2013: 550-554 - 2012
- [c28]Rajiv Jain, David S. Doermann:
Logo Retrieval in Document Images. Document Analysis Systems 2012: 135-139 - 2011
- [c27]Vikas Shivashankar, Rajiv Jain, Ugur Kuter, Dana S. Nau:
Real-Time Planning for Covering an Initially-Unknown Spatial Environment. FLAIRS 2011 - [c26]Rajiv Jain, David S. Doermann:
Offline Writer Identification Using K-Adjacent Segments. ICDAR 2011: 769-773
2000 – 2009
- 2002
- [c25]Anil K. Nori, Rajiv Jain:
Composite Applications: Process Based Application Development. TES 2002: 48-53 - 2001
- [j10]Anil Nori, Chandar Venkatraman, Rajiv Jain:
Defining the Next Generation e-Business Platform: A Discussion of the Asers eBusiness Platform. IEEE Data Eng. Bull. 24(1): 18-22 (2001)
1990 – 1999
- 1997
- [c24]R. K. Aditham, Rajiv Jain, Murali Srinivasan:
Interest Based Collaboration Framework. WETICE 1997: 75-81 - 1996
- [j9]Ashutosh Mujumdar, Rajiv Jain, Kewal K. Saluja:
Incorporating performance and testability constraints during binding in high-level synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 15(10): 1212-1225 (1996) - [j8]Minjoong Rim, Rajiv Jain:
Valid Transformations: A New Class of Loop Transformations for High-Level Synthesis and Pipelined Scheduling Applications. IEEE Trans. Parallel Distributed Syst. 7(4): 399-410 (1996) - 1995
- [j7]Alok Sharma, Rajiv Jain:
InSyn: integrated scheduling for DSP applications. IEEE Trans. Signal Process. 43(8): 1966-1977 (1995) - [j6]Minjoong Rim, Yaw Fann, Rajiv Jain:
Global scheduling with code-motions for high-level synthesis applications. IEEE Trans. Very Large Scale Integr. Syst. 3(3): 379-392 (1995) - [c23]Hao Zheng, Kewal K. Saluja, Rajiv Jain:
Test application time reduction for scan based sequential circuits. Great Lakes Symposium on VLSI 1995: 188-191 - [c22]Wing Hang Wong, Rajiv Jain:
PARAS: system-level concurrent partitioning and scheduling. ICCAD 1995: 440-445 - 1994
- [j5]Ashutosh Mujumdar, Rajiv Jain, Kewal K. Saluja:
Incorporating testability considerations in high-level synthesis. J. Electron. Test. 5(1): 43-55 (1994) - [j4]Minjoong Rim, Rajiv Jain:
Lower-bound performance estimation for the high-level synthesis scheduling problem. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 13(4): 451-458 (1994) - [j3]Minjoong Rim, Ashutosh Mujumdar, Rajiv Jain, Renato De Leone:
Optimal and heuristic algorithms for solving the binding problem. IEEE Trans. Very Large Scale Integr. Syst. 2(2): 211-225 (1994) - [c21]Yaw Fann, Minjoong Rim, Rajiv Jain:
Global Scheduling for High-Level Synthesis Applications. DAC 1994: 542-546 - [c20]Ashutosh Mujumdar, Rajiv Jain, Kewal K. Saluja:
Behavioral Synthesis of Testable Designs. FTCS 1994: 436-445 - [c19]Minjoong Rim, Rajiv Jain:
RECALS II: a new list scheduling algorithm. ICASSP (2) 1994: 461-464 - [c18]Alok Sharma, Rajiv Jain:
Register Estimation from Behavioral Specifications. ICCD 1994: 576-580 - [c17]Minjoong Rim, Rajiv Jain:
Valid Transformations: A New Class of Loop Transformations. ICPP (2) 1994: 20-23 - [c16]Minjoong Rim, Rajiv Jain:
Estimating Performance Characteristics of Loop Transformations. ISCAS 1994: 249-252 - [c15]Ashutosh Mujumdar, Minjoong Rim, Rajiv Jain, Renato De Leone:
BINET: An Algorithm for Solving the Binding Problem. VLSI Design 1994: 163-168 - 1993
- [j2]Alok Sharma, Rajiv Jain:
Estimating architectural resources and performance for high-level synthesis applications. IEEE Trans. Very Large Scale Integr. Syst. 1(2): 175-190 (1993) - [c14]Alok Sharma, Rajiv Jain:
InSyn: Integrated Scheduling for DSP Applications. DAC 1993: 349-354 - [c13]Alok Sharma, Rajiv Jain:
Estimating Architectural Resources and Performance for High-Level Synthesis Applications. DAC 1993: 355-360 - 1992
- [j1]Rajiv Jain, Alice C. Parker, Nohbyung Park:
Predicting system-level area and delay for pipelined and nonpipelined designs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 11(8): 955-965 (1992) - [c12]Minjoong Rim, Rajiv Jain:
Representing Conditional Branches for High-Level Synthesis Applications. DAC 1992: 106-111 - [c11]Minjoong Rim, Rajiv Jain, Renato De Leone:
Optimal Allocation and Binding in High-Level Synthesis. DAC 1992: 120-123 - [c10]Ashutosh Mujumdar, Kewal K. Saluja, Rajiv Jain:
Incorporating Testability Considerations in High-Level Systhesis. FTCS 1992: 272-279 - [c9]Minjoong Rim, Rajiv Jain:
Estimating Lower-Bound Performance of Schedules Using a Relaxation Technique. ICCD 1992: 290-294 - 1991
- [c8]Rajiv Jain, Ashutosh Mujumdar, Alok Sharma, Hueymin Wang:
Empirical Evaluation of Some High-Level Synthesis Scheduling Heuristics. DAC 1991: 686-689 - 1990
- [c7]Rajiv Jain:
MOSP: Module Selection for Pipelined Designs with Multi-Cycle Operations. ICCAD 1990: 212-215
1980 – 1989
- 1989
- [c6]Rajiv Jain, Kayhan Küçükçakar, Mitch J. Mlinar, Alice C. Parker:
Experience with ADAM Synthesis System. DAC 1989: 56-61 - 1988
- [c5]Rajiv Jain, Alice C. Parker, Nohbyung Park:
Module Selection for Pipelined Synthesis. DAC 1988: 542-547 - [c4]Rajiv Jain, Mitch J. Mlinar, Alice C. Parker:
Area-time model for synthesis of non-pipelined designs. ICCAD 1988: 48-51 - [c3]B. Sharma, Rajiv Jain, Melvin A. Breuer, Alice C. Parker, Cauligi S. Raghavendra, C. Y. Tseng:
The POTATO chip architecture: a study in tradeoffs for signal processing chip design. ICCD 1988: 508-513 - [c2]Meera Balakrishnan, Rajiv Jain, Cauligi S. Raghavendra:
On Array Storage for Conflict-Free Memory Access for Parallel Processors. ICPP (1) 1988: 103-107 - 1987
- [c1]Rajiv Jain, Alice C. Parker, Nohbyung Park:
Predicting Area-Time Tradeoffs for Pipelined Design. DAC 1987: 35-41
Coauthor Index
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