Hridesh Rajan

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 80

Top Venues

Publications

Shibbir Ahmed, Hongyang Gao, Hridesh Rajan
Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment. ICSE (2024)
David O'Brien, Robert Dyer, Tien N. Nguyen, Hridesh Rajan
Data-Driven Evidence-Based Syntactic Sugar Design. ICSE (2024)
David O'Brien, Robert Dyer, Tien N. Nguyen, Hridesh Rajan
Data-Driven Evidence-Based Syntactic Sugar Design. CoRR (2024)
David O'Brien, Sumon Biswas, Sayem Mohammad Imtiaz, Rabe Abdalkareem, Emad Shihab, Hridesh Rajan
Are Prompt Engineering and TODO Comments Friends or Foes? An Evaluation on GitHub Copilot. ICSE (2024)
Shibbir Ahmed, Hongyang Gao, Hridesh Rajan
Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment. CoRR (2024)
Shibbir Ahmed, Sayem Mohammad Imtiaz, Syeda Khairunnesa Samantha, Breno Dantas Cruz, Hridesh Rajan
Design by Contract for Deep Learning APIs. ESEC/SIGSOFT FSE (2023)
Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan
An Effective Data-Driven Approach for Localizing Deep Learning Faults. CoRR (2023)
Giang Nguyen, Sumon Biswas, Hridesh Rajan
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML. CoRR (2023)
Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh, Rangeet Pan, Breno Dantas Cruz, Hridesh Rajan
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement. ICSE (2023)
Shibbir Ahmed, Mohammad Wardat, Hamid Bagheri, Breno Dantas Cruz, Hridesh Rajan
Characterizing Bugs in Python and R Data Analytics Programs. CoRR (2023)
Ali Ghanbari, Deepak-George Thomas, Muhammad Arbab Arshad, Hridesh Rajan
Mutation-based Fault Localization of Deep Neural Networks. ASE (2023)
Ali Ghanbari, Deepak-George Thomas, Muhammad Arbab Arshad, Hridesh Rajan
Mutation-based Fault Localization of Deep Neural Networks. CoRR (2023)
Giang Nguyen, Sumon Biswas, Hridesh Rajan
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML. ESEC/SIGSOFT FSE (2023)
Syeda Khairunnesa Samantha, Shibbir Ahmed, Sayem Mohammad Imtiaz, Hridesh Rajan, Gary T. Leavens
What Kinds of Contracts Do ML APIs Need? CoRR (2023)
Usman Gohar, Sumon Biswas, Hridesh Rajan
Towards Understanding Fairness and its Composition in Ensemble Machine Learning. ICSE (2023)
Syeda Khairunnesa Samantha, Shibbir Ahmed, Sayem Mohammad Imtiaz, Hridesh Rajan, Gary T. Leavens
What kinds of contracts do ML APIs need? Empir. Softw. Eng. 28 (6) (2023)
Sumon Biswas, Hridesh Rajan
Fairify: Fairness Verification of Neural Networks. ICSE (2023)
Rangeet Pan, Sumon Biswas, Mohna Chakraborty, Breno Dantas Cruz, Hridesh Rajan
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models. CoRR (2022)
Hoan Anh Nguyen, Hung Dang Phan, Syeda Khairunnesa Samantha, Son Nguyen, Aashish Yadavally, Shaohua Wang, Hridesh Rajan, Tien N. Nguyen
A Hybrid Approach for Inference between Behavioral Exception API Documentation and Implementations, and Its Applications. ASE (2022)
David O'Brien, Sumon Biswas, Sayem Imtiaz, Rabe Abdalkareem, Emad Shihab, Hridesh Rajan
23 shades of self-admitted technical debt: an empirical study on machine learning software. ESEC/SIGSOFT FSE (2022)
Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao
A global convergence theory for deep ReLU implicit networks via over-parameterization. ICLR (2022)
Menglu Yu, Ye Tian, Bo Ji, Chuan Wu, Hridesh Rajan, Jia Liu
GADGET: Online Resource Optimization for Scheduling Ring-All-Reduce Learning Jobs. INFOCOM (2022)
Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. ICSE (2022)
Menglu Yu, Bo Ji, Hridesh Rajan, Jia Liu
On Scheduling Ring-All-Reduce Learning Jobs in Multi-Tenant GPU Clusters with Communication Contention. CoRR (2022)
Giang Nguyen, Md Johirul Islam, Rangeet Pan, Hridesh Rajan
Manas: Mining Software Repositories to Assist AutoML. ICSE (2022)
Menglu Yu, Bo Ji, Hridesh Rajan, Jia Liu
On scheduling ring-all-reduce learning jobs in multi-tenant GPU clusters with communication contention. MobiHoc (2022)
Usman Gohar, Sumon Biswas, Hridesh Rajan
Towards Understanding Fairness and its Composition in Ensemble Machine Learning. CoRR (2022)
Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh, Rangeet Pan, Breno Dantas Cruz, Hridesh Rajan
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement. CoRR (2022)
Sumon Biswas, Hridesh Rajan
Fairify: Fairness Verification of Neural Networks. CoRR (2022)
Menglu Yu, Ye Tian, Bo Ji, Chuan Wu, Hridesh Rajan, Jia Liu
GADGET: Online Resource Optimization for Scheduling Ring-All-Reduce Learning Jobs. CoRR (2022)
Rangeet Pan, Hridesh Rajan
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules. ICSE (2022)
Sumon Biswas, Mohammad Wardat, Hridesh Rajan
The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large. ICSE (2022)
Mohammad Wardat, Wei Le, Hridesh Rajan
DeepLocalize: Fault Localization for Deep Neural Networks. CoRR (2021)
Sumon Biswas, Hridesh Rajan
Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline. ESEC/SIGSOFT FSE (2021)
Sumon Biswas, Hridesh Rajan
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline. CoRR (2021)
Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. CoRR (2021)
Rangeet Pan, Hridesh Rajan
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules. CoRR (2021)
Mohammad Wardat, Wei Le, Hridesh Rajan
DeepLocalize: Fault Localization for Deep Neural Networks. ICSE (2021)
Giang Nguyen, Johir Islam, Rangeet Pan, Hridesh Rajan
Manas: Mining Software Repositories to Assist AutoML. CoRR (2021)
Shibbir Ahmed, Md Johirul Islam, Hridesh Rajan
Semantics and Anomaly Preserving Sampling Strategy for Large-Scale Time Series Data. Trans. Data Sci. 2 (4) (2021)
Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao
A global convergence theory for deep ReLU implicit networks via over-parameterization. CoRR (2021)
Sumon Biswas, Mohammad Wardat, Hridesh Rajan
The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large. CoRR (2021)
Md Johirul Islam, Rangeet Pan, Giang Nguyen, Hridesh Rajan
Repairing Deep Neural Networks: Fix Patterns and Challenges. CoRR (2020)
Sumon Biswas, Hridesh Rajan
Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness. ESEC/SIGSOFT FSE (2020)
Ramanathan Ramu, Ganesha B. Upadhyaya, Hoan Anh Nguyen, Hridesh Rajan
BCFA: bespoke control flow analysis for CFA at scale. ICSE (2020)
Sumon Biswas, Hridesh Rajan
Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness. CoRR (2020)
Hamid Bagheri, Andrew J. Severin, Hridesh Rajan
Detecting and correcting misclassified sequences in the large-scale public databases. Bioinform. 36 (18) (2020)
Ramanathan Ramu, Ganesha B. Upadhyaya, Hoan Anh Nguyen, Hridesh Rajan
BCFA: Bespoke Control Flow Analysis for CFA at Scale. CoRR (2020)
Rangeet Pan, Hridesh Rajan
On decomposing a deep neural network into modules. ESEC/SIGSOFT FSE (2020)
Md Johirul Islam, Rangeet Pan, Giang Nguyen, Hridesh Rajan
Repairing deep neural networks: fix patterns and challenges. ICSE (2020)
Sumon Biswas, Md Johirul Islam, Yijia Huang, Hridesh Rajan
Boa meets python: a boa dataset of data science software in python language. MSR (2019)
Hamid Bagheri, Usha Muppirala, Rick E. Masonbrink, Andrew J. Severin, Hridesh Rajan
Shared data science infrastructure for genomics data. BMC Bioinform. 20 (1) (2019)
Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan
A comprehensive study on deep learning bug characteristics. ESEC/SIGSOFT FSE (2019)
Rangeet Pan, Md Johirul Islam, Shibbir Ahmed, Hridesh Rajan
Identifying Classes Susceptible to Adversarial Attacks. CoRR (2019)
Md Johirul Islam, Hoan Anh Nguyen, Rangeet Pan, Hridesh Rajan
What Do Developers Ask About ML Libraries? A Large-scale Study Using Stack Overflow. CoRR (2019)
Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan
A Comprehensive Study on Deep Learning Bug Characteristics. CoRR (2019)
John L. Singleton, Gary T. Leavens, Hridesh Rajan, David R. Cok
Inferring Concise Specifications of APIs. CoRR (2019)
John L. Singleton, Gary T. Leavens, Hridesh Rajan, David R. Cok
An algorithm and tool to infer practical postconditions. ICSE (Companion Volume) (2018)
Md Johirul Islam, Anuj Sharma, Hridesh Rajan
A Cyberinfrastructure for BigData Transportation Engineering. CoRR (2018)
Hoan Anh Nguyen, Tien N. Nguyen, Hridesh Rajan, Robert Dyer
Towards combining usage mining and implementation analysis to infer API preconditions. WASPI@ESEC/SIGSOFT FSE (2018)
W. K. Chan, Xiaodong Liu, Hridesh Rajan
Special issue on software engineering technology and applications. J. Syst. Softw. 137 (2018)
Jackson Maddox, Yuheng Long, Hridesh Rajan
Large-scale study of substitutability in the presence of effects. ESEC/SIGSOFT FSE (2018)
Tianyi Zhang, Ganesha Upadhyaya, Anastasia Reinhardt, Hridesh Rajan, Miryung Kim
Are code examples on an online Q&A forum reliable?: a study of API misuse on stack overflow. ICSE (2018)
Syeda Khairunnesa Samantha, Hoan Anh Nguyen, Hridesh Rajan
On the significance of contract-based typestate specification. WASPI@ESEC/SIGSOFT FSE (2018)
Ganesha Upadhyaya, Hridesh Rajan
On Accelerating Source Code Analysis at Massive Scale. IEEE Trans. Software Eng. 44 (7) (2018)
Ramanathan Ramu, Ganesha Upadhyaya, Hoan Anh Nguyen, Hridesh Rajan
Hybrid traversal: efficient source code analysis at scale. ICSE (Companion Volume) (2018)
Ganesha Upadhyaya, Hridesh Rajan
Collective program analysis. ICSE (2018)
Mehdi Bagherzadeh, Hridesh Rajan
Order types: static reasoning about message races in asynchronous message passing concurrency. AGERE!@SPLASH (2017)
Ganesha Upadhyaya, Hridesh Rajan
On Accelerating Ultra-Large-Scale Mining. ICSE-NIER (2017)
Hung Phan, Hoan Anh Nguyen, Tien N. Nguyen, Hridesh Rajan
Statistical Learning for Inference between Implementations and Documentation. ICSE-NIER (2017)
Nitin M. Tiwari, Ganesha Upadhyaya, Hoan Anh Nguyen, Hridesh Rajan
Candoia: a platform for building and sharing mining software repositories tools as apps. MSR (2017)
Hridesh Rajan, Alexander Bolotov, Chang Xu
Message from SETA 2017 Program Chairs. COMPSAC (1) (2017)
Syeda Khairunnesa Samantha, Hoan Anh Nguyen, Tien N. Nguyen, Hridesh Rajan
Exploiting implicit beliefs to resolve sparse usage problem in usage-based specification mining. Proc. ACM Program. Lang. 1 (OOPSLA) (2017)
Yuheng Long, Yu David Liu, Hridesh Rajan
First-class effect reflection for effect-guided programming. OOPSLA (2016)
Yuheng Long, Hridesh Rajan
A type-and-effect system for asynchronous, typed events. MODULARITY (2016)
Gary T. Leavens, David A. Naumann, Hridesh Rajan, Tomoyuki Aotani
Specifying and Verifying Advanced Control Features. ISoLA (2) (2016)
Yuheng Long, Mehdi Bagherzadeh, Eric Lin, Ganesha Upadhyaya, Hridesh Rajan
On ordering problems in message passing software. MODULARITY (2016)
Nitin M. Tiwari, Ganesha Upadhyaya, Hridesh Rajan
Candoia: a platform and ecosystem for mining software repositories tools. ICSE (Companion Volume) (2016)
Mehdi Bagherzadeh, Robert Dyer, Rex D. Fernando, José Sánchez, Hridesh Rajan
Modular Reasoning in the Presence of Event Subtyping. LNCS Trans. Modul. Compos. 1 (2016)
Doris L. Carver, Wing Kwong Chan, Hongji Yang, Xiaodong Liu, Carl K. Chang, Hridesh Rajan
Message from the SETA Organizing Committee. COMPSAC (2016)
Robert Dyer, Hridesh Rajan, Tien N. Nguyen, Hoan Anh Nguyen
Demonstrating programming language feature mining using Boa. SPLASH (Companion Volume) (2015)
Mehdi Bagherzadeh, Hridesh Rajan
Panini: a concurrent programming model for solving pervasive and oblivious interference. MODULARITY (2015)
Hoan Anh Nguyen, Robert Dyer, Tien N. Nguyen, Hridesh Rajan
Consensus-based mining of API preconditions in big code. SPLASH (Companion Volume) (2015)
Hridesh Rajan, Tien N. Nguyen, Gary T. Leavens, Robert Dyer
Inferring Behavioral Specifications from Large-scale Repositories by Leveraging Collective Intelligence. ICSE (2) (2015)
Mehdi Bagherzadeh, Robert Dyer, Rex D. Fernando, José Sánchez, Hridesh Rajan
Modular reasoning in the presence of event subtyping. MODULARITY (2015)
Ganesha Upadhyaya, Hridesh Rajan
Effectively mapping linguistic abstractions for message-passing concurrency to threads on the Java virtual machine. OOPSLA (2015)
Robert Dyer, Hoan Anh Nguyen, Hridesh Rajan, Tien N. Nguyen
Boa: Ultra-Large-Scale Software Repository and Source-Code Mining. ACM Trans. Softw. Eng. Methodol. 25 (1) (2015)
Yuheng Long, Yu David Liu, Hridesh Rajan
Intensional Effect Polymorphism. ECOOP (2015)
Hridesh Rajan
Capsule-Oriented Programming. ICSE (2) (2015)
Ganesha Upadhyaya, Hridesh Rajan
An Automatic Actors to Threads Mapping Technique for JVM-Based Actor Frameworks. AGERE!@SPLASH (2014)
Henrique Rebêlo, Gary T. Leavens, Mehdi Bagherzadeh, Hridesh Rajan, Ricardo Massa Ferreira Lima, Daniel M. Zimmerman, Márcio Cornélio, Thomas Thüm
Modularizing crosscutting contracts with AspectJML. MODULARITY (Companion) (2014)
Robert Dyer, Hridesh Rajan, Hoan Anh Nguyen, Tien N. Nguyen
Mining billions of AST nodes to study actual and potential usage of Java language features. ICSE (2014)
Henrique Rebêlo, Gary T. Leavens, Mehdi Bagherzadeh, Hridesh Rajan, Ricardo Massa Ferreira Lima, Daniel M. Zimmerman, Márcio Cornélio, Thomas Thüm
AspectJML: modular specification and runtime checking for crosscutting contracts. MODULARITY (2014)
Hoan Anh Nguyen, Robert Dyer, Tien N. Nguyen, Hridesh Rajan
Mining preconditions of APIs in large-scale code corpus. SIGSOFT FSE (2014)
Eric Lin, Hridesh Rajan
Panini: a capsule-oriented programming language for implicitly concurrent program design. SPLASH (Companion Volume) (2013)
Robert Dyer, Hoan Anh Nguyen, Hridesh Rajan, Tien N. Nguyen
Boa: a language and infrastructure for analyzing ultra-large-scale software repositories. ICSE (2013)
Robert Dyer, Hridesh Rajan, Tien N. Nguyen
Declarative visitors to ease fine-grained source code mining with full history on billions of AST nodes. GPCE (2013)
Hoan Anh Nguyen, Anh Tuan Nguyen, Tung Thanh Nguyen, Tien N. Nguyen, Hridesh Rajan
A study of repetitiveness of code changes in software evolution. ASE (2013)
Mehdi Bagherzadeh, Hridesh Rajan, Mohammad Ali Darvish Darab
On exceptions, events and observer chains. AOSD (2013)
Robert Dyer, Hoan Anh Nguyen, Hridesh Rajan, Tien N. Nguyen
Mining source code repositories with boa. SPLASH (Companion Volume) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hridesh Rajan