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2020 – today
- 2024
[i36]Anisha Agarwal, Aaron Chan, Shubham Chandel, Jinu Jang, Shaun Miller, Roshanak Zilouchian Moghaddam, Yevhen Mohylevskyy, Neel Sundaresan, Michele Tufano:
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming. CoRR abs/2402.14261 (2024)- [i35]Michele Tufano, Anisha Agarwal, Jinu Jang, Roshanak Zilouchian Moghaddam, Neel Sundaresan:
AutoDev: Automated AI-Driven Development. CoRR abs/2403.08299 (2024) - [i34]Mengnan Qi, Yufan Huang, Yongqiang Yao, Maoquan Wang, Bin Gu, Neel Sundaresan:
Is Next Token Prediction Sufficient for GPT? Exploration on Code Logic Comprehension. CoRR abs/2404.08885 (2024) - 2023
- [c83]Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan:
Code Execution with Pre-trained Language Models. ACL (Findings) 2023: 4984-4999 - [c82]Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan:
Program Translation via Code Distillation. EMNLP 2023: 10903-10914 - [c81]Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin B. Clement, Neel Sundaresan:
SUT: Active Defects Probing for Transcompiler Models. EMNLP 2023: 14024-14034 - [c80]Matthew Jin
, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy:
InferFix: End-to-End Program Repair with LLMs. ESEC/SIGSOFT FSE 2023: 1646-1656 - [c79]Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltiadis Allamanis, Alexey Svyatkovskiy:
AdaptivePaste: Intelligent Copy-Paste in IDE. ESEC/SIGSOFT FSE 2023: 1844-1854 - [i33]Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy:
InferFix: End-to-End Program Repair with LLMs. CoRR abs/2303.07263 (2023) - [i32]Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan:
Code Execution with Pre-trained Language Models. CoRR abs/2305.05383 (2023) - [i31]Aaron Chan, Anant Kharkar, Roshanak Zilouchian Moghaddam, Yevhen Mohylevskyy, Alec Helyar, Eslam Kamal, Mohamed Elkamhawy, Neel Sundaresan:
Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning? CoRR abs/2306.01754 (2023) - [i30]Spandan Garg, Roshanak Zilouchian Moghaddam, Neel Sundaresan:
RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot. CoRR abs/2306.17077 (2023) - [i29]Michele Tufano, Shubham Chandel, Anisha Agarwal, Neel Sundaresan, Colin B. Clement:
Predicting Code Coverage without Execution. CoRR abs/2307.13383 (2023) - [i28]Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy:
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation. CoRR abs/2310.02368 (2023) - [i27]Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan:
Program Translation via Code Distillation. CoRR abs/2310.11476 (2023) - [i26]Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin B. Clement, Neel Sundaresan:
SUT: Active Defects Probing for Transcompiler Models. CoRR abs/2310.14209 (2023) - [i25]Yang Xu, Yongqiang Yao, Yufan Huang, Mengnan Qi, Maoquan Wang, Bin Gu, Neel Sundaresan:
Rethinking the Instruction Quality: LIFT is What You Need. CoRR abs/2312.11508 (2023) - 2022
- [c78]Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan:
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers. AST@ICSE 2022: 54-64 - [c77]Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin B. Clement, Neel Sundaresan:
Learning to Reduce False Positives in Analytic Bug Detectors. ICSE 2022: 1307-1316 - [c76]Roshanak Zilouchian Moghaddam, Spandan Garg, Colin B. Clement, Yevhen Mohylevskyy, Neel Sundaresan:
Generating Examples from CLI Usage: Can Transformers Help? KDD 2022: 3575-3583 - [c75]Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy:
METHODS2TEST: A dataset of focal methods mapped to test cases. MSR 2022: 299-303 - [c74]Alexey Svyatkovskiy, Sarah Fakhoury, Negar Ghorbani, Todd Mytkowicz, Elizabeth Dinella, Christian Bird, Jinu Jang, Neel Sundaresan, Shuvendu K. Lahiri:
Program merge conflict resolution via neural transformers. ESEC/SIGSOFT FSE 2022: 822-833 - [c73]Spandan Garg, Roshanak Zilouchian Moghaddam, Colin B. Clement, Neel Sundaresan, Chen Wu:
DeepDev-PERF: a deep learning-based approach for improving software performance. ESEC/SIGSOFT FSE 2022: 948-958 - [c72]Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan:
Automating code review activities by large-scale pre-training. ESEC/SIGSOFT FSE 2022: 1035-1047 - [c71]Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano:
Exploring and evaluating personalized models for code generation. ESEC/SIGSOFT FSE 2022: 1500-1508 - [i24]Shubham Chandel, Colin B. Clement, Guillermo Serrato, Neel Sundaresan:
Training and Evaluating a Jupyter Notebook Data Science Assistant. CoRR abs/2201.12901 (2022) - [i23]Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan:
CodeReviewer: Pre-Training for Automating Code Review Activities. CoRR abs/2203.09095 (2022) - [i22]Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin B. Clement, Neel Sundaresan:
Learning to Reduce False Positives in Analytic Bug Detectors. CoRR abs/2203.09907 (2022) - [i21]Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy:
Methods2Test: A dataset of focal methods mapped to test cases. CoRR abs/2203.12776 (2022) - [i20]Roshanak Zilouchian Moghaddam, Spandan Garg, Colin B. Clement, Yevhen Mohylevskyy, Neel Sundaresan:
Generating Examples From CLI Usage: Can Transformers Help? CoRR abs/2204.12648 (2022) - [i19]Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltiadis Allamanis, Alexey Svyatkovskiy:
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations. CoRR abs/2205.11023 (2022) - [i18]Spandan Garg, Roshanak Zilouchian Moghaddam, Colin B. Clement, Neel Sundaresan, Chen Wu:
DeepPERF: A Deep Learning-Based Approach For Improving Software Performance. CoRR abs/2206.13619 (2022) - [i17]Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano:
Exploring and Evaluating Personalized Models for Code Generation. CoRR abs/2208.13928 (2022) - 2021
- [c70]Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy:
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. EMNLP (1) 2021: 4713-4722 - [c69]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. ICLR 2021 - [c68]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 2021 - [c67]Dawn Drain, Chen Wu, Alexey Svyatkovskiy, Neel Sundaresan:
Generating bug-fixes using pretrained transformers. MAPS@PLDI 2021: 1-8 - [c66]Spandan Garg, Roshanak Zilouchian Moghaddam, Neel Sundaresan, Chen Wu:
PerfLens: a data-driven performance bug detection and fix platform. SOAP@PLDI 2021: 19-24 - [i16]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs/2102.04664 (2021) - [i15]Dawn Drain, Changran Hu, Chen Wu, Mikhail Breslav, Neel Sundaresan:
Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers. CoRR abs/2104.05310 (2021) - [i14]Dawn Drain, Chen Wu, Alexey Svyatkovskiy, Neel Sundaresan:
Generating Bug-Fixes Using Pretrained Transformers. CoRR abs/2104.07896 (2021) - [i13]Dawn Drain, Colin B. Clement, Guillermo Serrato, Neel Sundaresan:
DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons. CoRR abs/2105.09352 (2021) - [i12]Colin B. Clement, Chen Wu, Dawn Drain, Neel Sundaresan:
Distilling Transformers for Neural Cross-Domain Search. CoRR abs/2108.03322 (2021) - [i11]Alexey Svyatkovskiy, Todd Mytkowicz, Negar Ghorbani, Sarah Fakhoury, Elizabeth Dinella, Christian Bird, Neel Sundaresan, Shuvendu K. Lahiri:
MergeBERT: Program Merge Conflict Resolution via Neural Transformers. CoRR abs/2109.00084 (2021) - [i10]Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy:
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. CoRR abs/2109.08780 (2021) - 2020
- [c65]Colin B. Clement, Dawn Drain, Jonathan Timcheck, Alexey Svyatkovskiy, Neel Sundaresan:
PyMT5: multi-mode translation of natural language and Python code with transformers. EMNLP (1) 2020: 9052-9065 - [c64]Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu, Neel Sundaresan:
IntelliCode compose: code generation using transformer. ESEC/SIGSOFT FSE 2020: 1433-1443 - [i9]Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu, Neel Sundaresan:
IntelliCode Compose: Code Generation Using Transformer. CoRR abs/2005.08025 (2020) - [i8]Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, Neel Sundaresan:
Unit Test Case Generation with Transformers. CoRR abs/2009.05617 (2020) - [i7]Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan:
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers. CoRR abs/2009.05634 (2020) - [i6]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. CoRR abs/2009.08366 (2020) - [i5]Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, Shuai Ma:
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis. CoRR abs/2009.10297 (2020) - [i4]Colin B. Clement, Dawn Drain, Jonathan Timcheck, Alexey Svyatkovskiy, Neel Sundaresan:
PyMT5: multi-mode translation of natural language and Python code with transformers. CoRR abs/2010.03150 (2020)
2010 – 2019
- 2019
- [c63]Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan:
Pythia: AI-assisted Code Completion System. KDD 2019: 2727-2735 - [c62]Neel Sundaresan:
From Code to Data: AI at Scale for Developer Productivity. KDD 2019: 3175 - [i3]Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan:
Pythia: AI-assisted Code Completion System. CoRR abs/1912.00742 (2019) - 2017
- [j11]Dennis Gannon, Roger S. Barga, Neel Sundaresan:
Cloud-Native Applications. IEEE Cloud Comput. 4(5): 16-21 (2017) - [j10]Dennis Gannon, Roger S. Barga, Neel Sundaresan, Sebastien Goasguen, Niklas Gustaffson, Cornelia Davis, Balan Subramanian, Dan Kohn:
An Asynchronous Panel Discussion: What Are Cloud-Native Applications? IEEE Cloud Comput. 4(5): 50-54 (2017) - 2016
- [j9]Xiang Hui, Maryam Saeedi, Zeqian Shen, Neel Sundaresan:
Reputation and Regulations: Evidence from eBay. Manag. Sci. 62(12): 3604-3616 (2016) - 2015
- [c61]Raffay Hamid, Atish Das Sarma, Dennis DeCoste, Neel Sundaresan:
Fast Approximate Matching of Videos from Hand-Held Cameras for Robust Background Subtraction. WACV 2015: 294-301 - 2014
- [c60]Bishan Yang, Nish Parikh, Gyanit Singh, Neel Sundaresan:
A Study of Query Term Deletion Using Large-Scale E-commerce Search Logs. ECIR 2014: 235-246 - [c59]Vignesh Jagadeesh, Robinson Piramuthu, Anurag Bhardwaj, Wei Di, Neel Sundaresan:
Large scale visual recommendations from street fashion images. KDD 2014: 1925-1934 - [c58]Mohammad Haris Baig, Vignesh Jagadeesh, Robinson Piramuthu, Anurag Bhardwaj, Wei Di, Neel Sundaresan:
Im2depth: Scalable exemplar based depth transfer. WACV 2014: 145-152 - [c57]Wei Di, Neel Sundaresan, Robinson Piramuthu, Anurag Bhardwaj:
Is a picture really worth a thousand words?: - on the role of images in e-commerce. WSDM 2014: 633-642 - [c56]Atish Das Sarma, Nish Parikh, Neel Sundaresan:
E-commerce product search: personalization, diversification, and beyond. WWW (Companion Volume) 2014: 189-190 - [c55]Atish Das Sarma, Si Si, Elizabeth F. Churchill, Neel Sundaresan:
The "expression gap": do you like what you share? WWW (Companion Volume) 2014: 247-248 - [c54]Si Si, Atish Das Sarma, Elizabeth F. Churchill, Neel Sundaresan:
Beyond modeling private actions: predicting social shares. WWW (Companion Volume) 2014: 377-378 - [i2]Vignesh Jagadeesh, Robinson Piramuthu, Anurag Bhardwaj, Wei Di, Neel Sundaresan:
Large Scale Visual Recommendations From Street Fashion Images. CoRR abs/1401.1778 (2014) - [i1]Raffay Hamid, Atish Das Sarma, Dennis DeCoste, Neel Sundaresan:
Fast Approximate Matching of Cell-Phone Videos for Robust Background Subtraction. CoRR abs/1404.5351 (2014) - 2013
- [c53]Haipeng Zhang, Nish Parikh, Gyanit Singh, Neel Sundaresan:
Chelsea won, and you bought a t-shirt: characterizing the interplay between Twitter and e-commerce. ASONAM 2013: 829-836 - [c52]Wei Di, Catherine Wah, Anurag Bhardwaj, Robinson Piramuthu, Neel Sundaresan:
Style Finder: Fine-Grained Clothing Style Detection and Retrieval. CVPR Workshops 2013: 8-13 - [c51]Aditya Khosla, Raffay Hamid, Chih-Jen Lin, Neel Sundaresan:
Large-Scale Video Summarization Using Web-Image Priors. CVPR 2013: 2698-2705 - [c50]Anurag Bhardwaj, Atish Das Sarma, Wei Di, Raffay Hamid, Robinson Piramuthu, Neel Sundaresan:
Palette power: enabling visual search through colors. KDD 2013: 1321-1329 - [c49]Zeqian Shen, Neel Sundaresan:
RepRank: reputation in a peer-to-peer online system. WWW (Companion Volume) 2013: 163-164 - [c48]Yuchen Zhao, Neel Sundaresan, Zeqian Shen, Philip S. Yu:
Anatomy of a web-scale resale market: a data mining approach. WWW 2013: 1533-1544 - 2012
- [j8]Dan Shen, Jean-David Ruvini, Rajyashree Mukherjee, Neel Sundaresan:
A study of smoothing algorithms for item categorization on e-commerce sites. Neurocomputing 92: 54-60 (2012) - [c47]Jishang Wei, Zeqian Shen, Neel Sundaresan, Kwan-Liu Ma:
Visual cluster exploration of web clickstream data. IEEE VAST 2012: 3-12 - [c46]Zeqian Shen, Jishang Wei, Neel Sundaresan, Kwan-Liu Ma:
Visual analysis of massive web session data. LDAV 2012: 65-72 - [c45]Gyanit Singh, Nish Parikh, Neel Sundaresan:
Rewriting null e-commerce queries to recommend products. WWW (Companion Volume) 2012: 73-82 - 2011
- [c44]Dan Shen, Jean-David Ruvini, Manas Somaiya, Neel Sundaresan:
Item categorization in the e-commerce domain. CIKM 2011: 1921-1924 - [c43]Nish Parikh, Neel Sundaresan:
Beyond relevance in marketplace search. CIKM 2011: 2109-2112 - [c42]Nish Parikh, Neel Sundaresan:
Marco Polo: a system for brand-based shopping and exploration. CIKM 2011: 2537-2540 - [c41]Neel Sundaresan:
Data Science and Machine Learning at Scale. ECML/PKDD (1) 2011: 10 - [c40]Neel Sundaresan:
Recommender systems at the long tail. RecSys 2011: 1-6 - [c39]Jian Wang, Badrul Sarwar, Neel Sundaresan:
Utilizing related products for post-purchase recommendation in e-commerce. RecSys 2011: 329-332 - [c38]Gyanit Singh, Nish Parikh, Neel Sundaresan:
User behavior in zero-recall ecommerce queries. SIGIR 2011: 75-84 - [c37]Zeqian Shen, Neel Sundaresan:
eBay: an E-commerce marketplace as a complex network. WSDM 2011: 655-664 - [c36]Mohammad Al Hasan, Nish Parikh, Gyanit Singh, Neel Sundaresan:
Query suggestion for E-commerce sites. WSDM 2011: 765-774 - [c35]Nish Parikh, Neel Sundaresan:
A user-tunable approach to marketplace search. WWW (Companion Volume) 2011: 245-248 - 2010
- [c34]Quang Duong, Neel Sundaresan, Nish Parikh, Zeqian Shen:
Modeling Seller Listing Strategies. AMEC/TADA 2010: 34-46 - [c33]Dan Shen, Jean-David Ruvini, Rajyashree Mukherjee, Neel Sundaresan:
A Study of Smoothing Algorithms for Item Categorization on e-Commerce Sites. ICMLA 2010: 23-28
2000 – 2009
- 2009
- [c32]Yue Lu, ChengXiang Zhai, Neel Sundaresan:
Rated aspect summarization of short comments. WWW 2009: 131-140 - [c31]Nish Parikh, Neel Sundaresan:
Buzz-based recommender system. WWW 2009: 1231-1232 - 2008
- [c30]Nish Parikh, Neel Sundaresan:
Inferring semantic query relations from collective user behavior. CIKM 2008: 349-358 - [c29]Neel Sundaresan:
Services in the Long Tail World: Challenges and Opportunities. ICSOC 2008: 2 - [c28]Nish Parikh, Neel Sundaresan:
Scalable and near real-time burst detection from eCommerce queries. KDD 2008: 972-980 - [c27]Hill Nguyen, Nish Parikh, Neel Sundaresan:
A software system for buzz-based recommendations. KDD 2008: 1093-1096 - [c26]Kavita A. Ganesan, Neelakantan Sundaresan, Harshal Deo:
Mining tag clouds and emoticons behind community feedback. WWW 2008: 1181-1182 - 2007
- [c25]Neel Sundaresan:
Online trust and reputation systems. EC 2007: 366-367 - [c24]Neel Sundaresan, Kavita Ganesan, Roopnath Grandhi:
Multi-factor clustering for a marketplace search interface. WWW 2007: 1181-1182 - 2002
- [j7]Neel Sundaresan, Reshad Moussa:
Algorithms and programming models for efficient representation of XML for Internet applications. Comput. Networks 39(5): 681-697 (2002) - [c23]Christina Yip Chung, Michael Gertz, Neel Sundaresan:
Reverse Engineering for Web Data: From Visual to Semantic Structure. ICDE 2002: 53-63 - 2001
- [j6]Joshua S. Hodas, Neel Sundaresan, Jared Jackson, Brandon L. Duncan, Walter I. Nissen, Jude Battista:
NOVeLLA: A Multi-Modal Electronic-Book Reader With Visual and Auditory Interfaces. Int. J. Speech Technol. 4(3-4): 269-284 (2001) - [c22]Christina Yip Chung, Michael Gertz, Neel Sundaresan:
Quixote: Building XML Repositories from Topic Specific Web Documents. WebDB 2001: 103-108 - [c21]Neel Sundaresan, Reshad Moussa:
Algorithms and programming models for efficient representation of XML for Internet applications. WWW 2001: 366-375 - 2000
- [j5]Sami Rollins, Neel Sundaresan:
AVoN calling: AXL for voice-enabled Web navigation. Comput. Networks 33(1-6): 533-551 (2000) - [j4]Neel Sundaresan, Jeonghee Yi:
Mining the Web for relations. Comput. Networks 33(1-6): 699-711 (2000) - [j3]Marc Girardot, Neel Sundaresan:
Millau: an encoding format for efficient representation and exchange of XML over the Web. Comput. Networks 33(1-6): 747-765 (2000) - [c20]Anita W. Huang, Neel Sundaresan:
A semantic transcoding system to adapt Web services for users with disabilities. ASSETS 2000: 156-163 - [c19]Anita W. Huang, Neel Sundaresan:
Aurora: a conceptual model for Web-content adaptation to support the universal usability of Web-based services. CUU 2000: 124-131 - [c18]Jeonghee Yi, Neel Sundaresan, Anita W. Huang:
Metadata Based Web Mining for Topic-Specific Information Gathering. EC-Web 2000: 359-368 - [c17]Marc Girardot, Neel Sundaresan:
Efficient Representation and Streaming of XML Content over the Internet Medium. IEEE International Conference on Multimedia and Expo (I) 2000: 67-70 - [c16]Sami Rollins, Neel Sundaresan:
A Framework for Creating Customized Multi-modal Interfaces for XML Documents. IEEE International Conference on Multimedia and Expo (II) 2000: 933-936 - [c15]Wayne Niblack, Stanley Yue, Reiner Kraft, Arnon Amir, Neel Sundaresan:
Web-Based Searching and Browsing of Multimedia Data. IEEE International Conference on Multimedia and Expo (III) 2000: 1717-1720 - [c14]Jeonghee Yi, Neel Sundaresan:
Metadata Based Web Mining for Relevance. IDEAS 2000: 113-121 - [c13]Jeonghee Yi, Neel Sundaresan:
A classifier for semi-structured documents. KDD 2000: 340-344 - [c12]Neel Sundaresan, Jeonghee Yi, Anita W. Huang:
Using Metadata to Enhance a Web Information Gathering System. WebDB (Informal Proceedings) 2000: 11-16 - [c11]Jeonghee Yi, Neel Sundaresan, Anita W. Huang:
Using Metadata to Enhance a Web Information Gathering System. WebDB (Selected Papers) 2000: 38-57
1990 – 1999
- 1999
- [c10]Jeonghee Yi, Neel Sundaresan:
Mining the Web for Acronyms Using the Duality of Patterns and Relations. Workshop on Web Information and Data Management 1999: 48-52 - 1998
- [c9]Ashok Malhotra, Neel Sundaresan:
RDF Query Specification. QL 1998 - 1997
- [c8]Neelakantan Sundaresan:
Extending the Standard Template Library for Parallelism in Coir<Futures>. COOTS 1997: 159-174 - [c7]Neelakantan Sundaresan:
Exploiting Delayed Synchronization Arrivals in Light-Weight Data Parallelism. HICSS (1) 1997: 606-615 - [c6]Neelakantan Sundaresan, Vinay Rajagopalan:
Java paradigms for mobile agent facilities. OOPSLA Addendum 1997: 133-135 - [c5]Daniel T. Chang, Neelakantan Sundaresan:
A Communication Infrastrutrue for Java Agent Systems. PDPTA 1997: 245-255 - [c4]Neelakantan Sundaresan:
Object Patterns for Parallel Programming. PDPTA 1997: 285-295 - 1996
- [j2]Neelakantan Sundaresan, Dennis Gannon:
Coir: An Object-Oriented System for Control and Dynamic Data Parallelism. J. Parallel Distributed Comput. 37(1): 98-105 (1996) - 1995
- [c3]Neelakantan Sundaresan, Dennis Gannon:
A Thread Model for Supporting Task and Data Parallelism in Object-Oriented Languages. ICPP (2) 1995: 45-49 - [c2]Neelakantan Sundaresan, Dennis Gannon:
Experimental Evaluation of Coir: A System for Control and Data Parallelism. Parallel and Distributed Computing and Systems 1995: 421-423 - 1992
- [c1]Dennis Gannon, Jenq Kuen Lee, Bruce Shei, Sekhar R. Sarukkai, Srinivas Narayana, Neelakantan Sundaresan, Daya Atapattu, François Bodin:
Sigma II: A Tool Kit for Building Parallelizing Compilers and Performance Analysis Systems. Programming Environments for Parallel Computing 1992: 17-36 - 1990
- [j1]Neelakantan Sundaresan:
Translation of nested Pascal routines to C. ACM SIGPLAN Notices 25(5): 69-81 (1990)
Coauthor Index
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of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
