Manish Gupta
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
200
Venues
69
Active years
1992–2026
Best venue rank
A*
Where they publish
- AECIR14 papers
- A*WWW14 papers
- A*SIGIR13 papers
- ACIKM12 papers
- A*EMNLP10 papers
- A*ACL9 papers
- BPAKDD7 papers
- ASC6 papers
- BCOLING5 papers
- BNOMS5 papers
- AICS5 papers
- A*AAAI4 papers
- A*KDD4 papers
- BEuroPar4 papers
- AEACL3 papers
- A*ICLR3 papers
- BIJCNLP3 papers
- AWACV3 papers
- A*ICDM3 papers
- AWSDM3 papers
- NationalVLSID3 papers
- NationalCOMAD3 papers
- A*HPCA3 papers
- AECOOP3 papers
- AOOPSLA3 papers
- A*ICML2 papers
- BDASFAA2 papers
- ANAACL2 papers
- A*ICDE2 papers
- CIECON2 papers
- ASDM2 papers
- A*PLDI2 papers
- A*SIGMETRICS2 papers
- ADSN2 papers
- A*POPL2 papers
- BPADS2 papers
- BACIIDS1 paper
- A*ICCV1 paper
- AECAI1 paper
- MulticonferenceICASSP1 paper
- A*IJCAI1 paper
- BINLG1 paper
- AInterspeech1 paper
- AICWSM1 paper
- NationalNSDI1 paper
- BCogSci1 paper
- A*CVPR1 paper
- CECMS1 paper
- CDEXA1 paper
- MulticonferenceSAC1 paper
- BSmartComp1 paper
- BIJCNN1 paper
- CEAMT1 paper
- BLREC1 paper
- A*MOBICOM1 paper
- A*DAC1 paper
- BGLOBECOM1 paper
- CDeSE1 paper
- CICIS1 paper
- CFUSION1 paper
- BIM1 paper
- A*SOSP1 paper
- NationalICDCN1 paper
- AICSOC1 paper
- BSMC1 paper
- BICTAI1 paper
- CNPC1 paper
- CSBAC-PAD1 paper
- CCLUSTER1 paper
Papers
200 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | FIND: Toward Multimodal Financial Reasoning and Question Answering for Indic Languages. | Sarmistha Das, Vaibhav Vishal, Syed Ibrahim Ahmad, Sriparna Saha, Manish Gupta |
| 2026 | ACL | TripTide: A Benchmark for Adaptive Travel Planning under Disruptions. | Priyanshu Karmakar, Soumyabrata Chaudhuri, Shubhojit Mallick, Manish Gupta, Abhik Jana, Shreya Ghosh |
| 2026 | ACL | LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging. | Seungeon Lee, Soumi Das, Manish Gupta, Krishna P. Gummadi |
| 2026 | EACL | Chat-Ghosting: Methods for Auto-Completion in Dialog Systems. | Anubhab Mandal, Sandeep Mishra, Bishal Santra, Tushar Abhishek, Pawan Goyal, Manish Gupta |
| 2026 | EACL | Router-Suggest: Dynamic Routing for Multimodal Auto-Completion in Visually-Grounded Dialogs. | Sandeep Mishra, Devichand Budagam, Anubhab Mandal, Bishal Santra, Pawan Goyal, Manish Gupta |
| 2026 | EACL | Learning to Ask: Multi-Decoder Fine-Tuning for Multi-Hop Visual Question Generation with External Knowledge. | Arpan Phukan, Manish Gupta, Asif Ekbal |
| 2026 | ECIR | SUMMIR: A Hallucination-Aware Framework for Ranking Sports Insights from LLMs. | Nitish Kumar, Sannu Kumar, S. Akash, Manish Gupta, Ankith Karat, Sriparna Saha |
| 2026 | SIGIR | DocQAC: Adaptive Trie-Guided Decoding for Effective In-Document Query Auto-Completion. | Rahul Mehta, Kavin R. V, Indrajit Pal, Tushar Abhishek, Pawan Goyal, Manish Gupta |
| 2025 | AAAI | PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures. | Shreya Shukla, Nakul Sharma, Manish Gupta, Anand Mishra |
| 2025 | ACIIDS | Periodic Spatio-temporal Colored Hotspot Detection in Azure Traffic Data. | Rakesh Rajeev, Rishabh Jain, Venkata M. V. Gunturi, Vishawam Datta, Kartik Ramesh, Ashank Anshuman, Manish Gupta, Samir Jain |
| 2025 | ACL | TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning. | Soumyabrata Chaudhuri, Pranav Purkar, Ritwik Raghav, Shubhojit Mallick, Manish Gupta, Abhik Jana, Shreya Ghosh |
| 2025 | ACL | SCULPT: Systematic Tuning of Long Prompts. | Shanu Kumar, Akhila Yesantarao Venkata, Shubhanshu Khandelwal, Bishal Santra, Parag Agrawal, Manish Gupta |
| 2025 | ACL | USDC: A Dataset of \underlineUser \underlineStance and \underlineDogmatism in Long \underlineConversations. | Mounika Marreddy, Subba Reddy Oota, Venkata Charan Chinni, Manish Gupta, Lucie Flek |
| 2025 | CIKM | EnhanceMyPrompt: Rewriting Chat Queries for Effective Response Generation from LLMs. | Tushar Abhishek, Manas Jain, Shishir Hardia, Shreevignesh Suriyanarayanan, Sandra Anil, Rushabh Gandhi, Manish Gupta |
| 2025 | CIKM | When Words Can't Capture It All: Towards Video-Based User Complaint Text Generation with Multimodal Video Complaint Dataset. | Sarmistha Das, R. E. Zera Marveen Lyngkhoi, Kirtan Jain, Vinayak Goyal, Sriparna Saha, Manish Gupta |
| 2025 | ECIR | Large Language Models Are Human-Like Annotators. | Mounika Marreddy, Subba Reddy Oota, Manish Gupta |
| 2025 | EMNLP | Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities. | Bhagesh Gaur, Karan Gupta, Aseem Srivastava, Manish Gupta, Md. Shad Akhtar |
| 2025 | EMNLP | LRPLAN: A Multi-Agent Collaboration of Large Language and Reasoning Models for Planning with Implicit & Explicit Constraints. | T Karthikeyan, Om Dehlan, Mausam, Manish Gupta |
| 2025 | EMNLP | CoCoA: Confidence- and Context-Aware Adaptive Decoding for Resolving Knowledge Conflicts in Large Language Models. | Anant Khandelwal, Manish Gupta, Puneet Agrawal |
| 2025 | EMNLP | Aligning Text/Speech Representations from Multimodal Models with MEG Brain Activity During Listening. | Padakanti Srijith, Khushbu Pahwa, Radhika Mamidi, Bapi Raju Surampudi, Manish Gupta, Subba Reddy Oota |
| 2025 | ICCV | Aligning Moments in Time Using Video Queries. | Yogesh Kumar, Uday Agarwal, Manish Gupta, Anand Mishra |
| 2025 | ICLR | Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). | Subba Reddy Oota, Akshett Rai Jindal, Ishani Mondal, Khushbu Pahwa, Satya Sai Srinath Namburi GNVV, Manish Shrivastava, Maneesh Kumar Singh, Bapi Raju Surampudi, Manish Gupta |
| 2025 | ICLR | Multi-modal brain encoding models for multi-modal stimuli. | Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Maneesh Kumar Singh, Manish Gupta, Bapi Raju Surampudi |
| 2025 | ICML | MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification. | Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit Singh, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma |
| 2025 | IJCNLP | IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? | Akhilesh Aravapalli, Mounika Marreddy, Radhika Mamidi, Manish Gupta, Subba Reddy Oota |
| 2025 | IJCNLP | Towards Multimodal Question Answering in Educational Domain. | Himanshu Wadhwa, T Karthikeyan, Mausam, Manish Gupta |
| 2025 | SIGIR | A System for Triggering Sports Instant Answers on Search Engines. | Ankith Karat, Atishay Tibrewal, Nishka Kotian, Manan Dang, Ravindra Valluri, Antony Ravi Teja Marineni, Sarthak Sahni, Rhea Sundaresan, Ankit Kumar, Aditya Mehndiratta, Sunil Shah, Arun D. Poondi, Chandra Bhushan, Subhasis Panigrahi, Manish Gupta |
| 2025 | SIGIR | Text Obsoleteness Detection using Large Language Models. | Rishav Ranaut, Sriparna Saha, Adam Jatowt, Manish Gupta |
| 2024 | AAAI | Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions. | Prajwal Gatti, Kshitij Parikh, Dhriti Prasanna Paul, Manish Gupta, Anand Mishra |
| 2024 | EMNLP | ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos. | Arpan Phukan, Manish Gupta, Asif Ekbal |
| 2024 | ICLR | Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction. | Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma |
| 2024 | ICML | OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification. | Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Ray Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma |
| 2024 | PAKDD | DQAC: Detoxifying Query Auto-completion with Adapters. | Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar |
| 2024 | SIGIR | DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion. | Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar |
| 2024 | SIGIR | Timeline Summarization in the Era of LLMs. | Daivik Sojitra, Raghav Jain, Sriparna Saha, Adam Jatowt, Manish Gupta |
| 2023 | ACL | Multimodal Persona Based Generation of Comic Dialogs. | Harsh Agrawal, Aditya Mishra, Manish Gupta, Mausam |
| 2023 | ACL | How does the brain process syntactic structure while listening? | Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Raju S. Bapi |
| 2023 | CIKM | Hateful Comment Detection and Hate Target Type Prediction for Video Comments. | Shrey Gupta, Pratyush Priyadarshi, Manish Gupta |
| 2023 | ECAI | XFLT: Exploring Techniques for Generating Cross Lingual Factually Grounded Long Text. | Bhavyajeet Singh, Aditya Hari, Rahul Mehta, Tushar Abhishek, Manish Gupta, Vasudeva Varma |
| 2023 | ECIR | TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain. | Sahil Manoj Bhatt, Sahaj Agarwal, Omkar Gurjar, Manish Gupta, Manish Shrivastava |
| 2023 | ECIR | Deep Learning Methods for Query Auto Completion. | Manish Gupta, Meghana Joshi, Puneet Agrawal |
| 2023 | EMNLP | On Robustness of Finetuned Transformer-based NLP Models. | Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta |
| 2023 | EMNLP | Frugal Prompting for Dialog Models. | Bishal Santra, Sakya Basak, Abhinandan De, Manish Gupta, Pawan Goyal |
| 2023 | ICASSP | Neural Architecture of Speech. | Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju S. Bapi |
| 2023 | IJCAI | Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering. | Abhirama Subramanyam Penamakuri, Manish Gupta, Mithun Das Gupta, Anand Mishra |
| 2023 | INLG | XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. | Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma |
| 2023 | Interspeech | Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? | Subba Reddy Oota, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Raju S. Bapi |
| 2023 | ICWSM | HateMM: A Multi-Modal Dataset for Hate Video Classification. | Mithun Das, Rohit Raj, Punyajoy Saha, Binny Mathew, Manish Gupta, Animesh Mukherjee |
| 2023 | NSDI | Empowering Azure Storage with RDMA. | Wei Bai, Shanim Sainul Abdeen, Ankit Agrawal, Krishan Kumar Attre, Paramvir Bahl, Ameya Bhagat, Gowri Bhaskara, Tanya Brokhman, Lei Cao, Ahmad Cheema, Rebecca Chow, Jeff Cohen, Mahmoud Elhaddad, Vivek Ette, Igal Figlin, Daniel Firestone, Mathew George, Ilya German, Lakhmeet Ghai, Eric Green, Albert G. Greenberg, Manish Gupta, Randy Haagens, Matthew Hendel, Ridwan Howlader, Neetha John, Julia Johnstone, Tom Jolly, Greg Kramer, David Kruse, Ankit Kumar, Erica Lan, Ivan Lee, Avi Levy, Marina Lipshteyn, Xin Liu, Chen Liu, Guohan Lu, Yuemin Lu, Xiakun Lu, Vadim Makhervaks, Ulad Malashanka, David A. Maltz, Ilias Marinos, Rohan Mehta, Sharda Murthi, Anup Namdhari, Aaron Ogus, Jitendra Padhye, Madhav Pandya, Douglas Phillips, Adrian Power, Suraj Puri, Shachar Raindel, Jordan Rhee, Anthony Russo, Maneesh Sah, Ali Sheriff, Chris Sparacino, Ashutosh Srivastava, Weixiang Sun, Nick Swanson, Fuhou Tian, Lukasz Tomczyk, Vamsi Vadlamuri, Alec Wolman, Ying Xie, Joyce Yom, Lihua Yuan, Yanzhao Zhang, Brian Zill |
| 2023 | WWW | XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages. | Dhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta, Vasudeva Varma |
| 2023 | WACV | WSNet: Towards An Effective Method for Wound Image Segmentation. | Subba Reddy Oota, Vijay Rowtula, Shahid Saleem Mohammed, Minghsun Liu, Manish Gupta |
| 2022 | CogSci | Deep Learning for Brain Encoding and Decoding. | Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju Surampudi Bapi, Mariya Toneva |
| 2022 | COLING | Multi-view and Cross-view Brain Decoding. | Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi |
| 2022 | COLING | Visio-Linguistic Brain Encoding. | Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi |
| 2022 | CVPR | Robust outlier detection by de-biasing VAE likelihoods. | Kushal Chauhan, Barath Mohan Umapathi, Pradeep Shenoy, Manish Gupta, Devarajan Sridharan |
| 2022 | DASFAA | Query-Document Topic Mismatch Detection. | Sahil Chelaramani, Ankush Chatterjee, Sonam Damani, Kedhar Nath Narahari, Meghana Joshi, Manish Gupta, Puneet Agrawal |
| 2022 | DASFAA | Identifying Relevant Sentences for Travel Blogs from Wikipedia Articles. | Arnav Kapoor, Manish Gupta |
| 2022 | ECMS | Modelling Using Deep Learning. | Manish Gupta |
| 2022 | EMNLP | VisToT: Vision-Augmented Table-to-Text Generation. | Prajwal Gatti, Anand Mishra, Manish Gupta, Mithun Das Gupta |
| 2022 | ICDM | A Case Study on Periodic Spatio- Temporal Hotspot Detection in Azure Traffic Data. | Venkata M. V. Gunturi, Rakesh Rajeev, Vipul Bondre, Aaditya Barnwal, Samir Jain, Ashank Anshuman, Manish Gupta |
| 2022 | NAACL | Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? | Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi |
| 2022 | NAACL | Representation Learning for Conversational Data using Discourse Mutual Information Maximization. | Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal |
| 2022 | PAKDD | Fact Aware Multi-task Learning for Text Coherence Modeling. | Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma |
| 2022 | PAKDD | NewsKVQA: Knowledge-Aware News Video Question Answering. | Pranay Gupta, Manish Gupta |
| 2022 | WWW | XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. | Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma |
| 2022 | WWW | TweetBoost: Influence of Social Media on NFT Valuation. | Arnav Kapoor, Dipanwita Guhathakurta, Mehul Mathur, Rupanshu Yadav, Manish Gupta, Ponnurangam Kumaraguru |
| 2022 | WSDM | Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc. | Sarah Masud, Pinkesh Pinkesh, Amitava Das, Manish Gupta, Preslav Nakov, Tanmoy Chakraborty |
| 2021 | CIKM | Goal-Directed Extractive Summarization of Financial Reports. | Yash Agrawal, Vivek Anand, Manish Gupta, S. Arunachalam, Vasudeva Varma |
| 2021 | DEXA | Event Related Data Collection from Microblog Streams. | Manoj K. Agarwal, Animesh Baranawal, Yogesh Simmhan, Manish Gupta |
| 2021 | ECIR | Should I Visit This Place? Inclusion and Exclusion Phrase Mining from Reviews. | Omkar Gurjar, Manish Gupta |
| 2021 | KDD | ODD: Outlier Detection and Description. | Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta |
| 2021 | KDD | Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing. | Rajarshee Mitra, Rhea Jain, Aditya Srikanth Veerubhotla, Manish Gupta |
| 2021 | PAKDD | T | Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma |
| 2021 | SAC | Discovering multiple design approaches in programming assignment submissions. | Nikhila K. N., Sujit Kumar Chakrabarti, Manish Gupta |
| 2021 | WACV | Multi-Task Knowledge Distillation for Eye Disease Prediction. | Sahil Chelaramani, Manish Gupta, Vipul Agarwal, Prashant Gupta, Ranya Habash |
| 2021 | WACV | HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients. | Subba Reddy Oota, Vijay Rowtula, Shahid Saleem Mohammed, Jeffrey Galitz, Minghsun Liu, Manish Gupta |
| 2021 | SmartComp | Workshop Keynote #1: Human-Centric Smart Computing. | Manish Gupta |
| 2020 | CIKM | Compression of Deep Learning Models for NLP. | Manish Gupta, Vasudeva Varma, Sonam Damani, Kedhar Nath Narahari |
| 2020 | CIKM | Transformer Models for Recommending Related Questions in Web Search. | Rajarshee Mitra, Manish Gupta, Sandipan Dandapat |
| 2020 | COLING | AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts. | Mohit Chandra, Ashwin Pathak, Eesha Dutta, Paryul Jain, Manish Gupta, Manish Shrivastava, Ponnurangam Kumaraguru |
| 2020 | COLING | Predicting Clickbait Strength in Online Social Media. | Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Gupta, Vasudeva Varma |
| 2020 | EMNLP | Summaformers @ LaySumm 20, LongSumm 20. | Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma |
| 2020 | PAKDD | Optimized Transformer Models for FAQ Answering. | Sonam Damani, Kedhar Nath Narahari, Ankush Chatterjee, Manish Gupta, Puneet Agrawal |
| 2020 | WSDM | FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages. | Ankush Chatterjee, Manish Gupta, Puneet Agrawal |
| 2019 | AAAI | Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer. | Bakhtiyar Syed, Vijayasaradhi Indurthi, Kulin Shah, Manish Gupta, Vasudeva Varma |
| 2019 | ECIR | Inductive Transfer Learning for Detection of Well-Formed Natural Language Search Queries. | Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Gupta, Manish Shrivastava, Vasudeva Varma |
| 2019 | EMNLP | Multi-label Categorization of Accounts of Sexism using a Neural Framework. | Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma |
| 2019 | ICDE | Elites Tweet? Characterizing the Twitter Verified User Network. | Indraneil Paul, Abhinav Khattar, Ponnurangam Kumaraguru, Manish Gupta, Shaan Chopra |
| 2019 | IJCNN | StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. | Subba Reddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi |
| 2019 | WWW | Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. | Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma |
| 2019 | WWW | MVAE: Multimodal Variational Autoencoder for Fake News Detection. | Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, Vasudeva Varma |
| 2019 | VLSID | Optimization of Multiple Physical Phenomena through a Universal Metric in Junctionless Transistors. | Manish Gupta, Abhinav Kranti |
| 2019 | WSDM | clstk: The Cross-Lingual Summarization Tool-Kit. | Nisarg Jhaveri, Manish Gupta, Vasudeva Varma |
| 2018 | AAAI | Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. | Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma |
| 2018 | ACL | Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation. | Madhav Nimishakavi, Manish Gupta, Partha P. Talukdar |
| 2018 | CIKM | RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. | Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma |
| 2018 | CIKM | HRAM: A Hybrid Recurrent Attention Machine for News Recommendation. | Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta |
| 2018 | CIKM | Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation. | Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta |
| 2018 | CIKM | Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. | Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar |
| 2018 | COMAD | Believe it or not!: identifying bizarre news in online news media. | Vijayasaradhi Indurthi, Subba Reddy Oota, Manish Gupta, Vasudeva Varma |
| 2018 | COMAD | STwalk: learning trajectory representations in temporal graphs. | Supriya Pandhre, Himangi Mittal, Manish Gupta, Vineeth N. Balasubramanian |
| 2018 | EAMT | Translation Quality Estimation for Indian Languages. | Nisarg Jhaveri, Manish Gupta, Vasudeva Varma |
| 2018 | ECIR | Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. | Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar |
| 2018 | ECIR | Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. | Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar |
| 2018 | ECIR | Attention-Based Neural Text Segmentation. | Pinkesh Badjatiya, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma |
| 2018 | ECIR | Medical Forum Question Classification Using Deep Learning. | Raksha Sanjay Jalan, Manish Gupta, Vasudeva Varma |
| 2018 | ECIR | Neural Content-Collaborative Filtering for News Recommendation. | Dhruv Khattar, Vaibhav Kumar, Manish Gupta, Vasudeva Varma |
| 2018 | HPCA | Reliability-Aware Data Placement for Heterogeneous Memory Architecture. | Manish Gupta, Vilas Sridharan, David Roberts, Andreas Prodromou, Ashish Venkat, Dean M. Tullsen, Rajesh K. Gupta |
| 2018 | LREC | A Workbench for Rapid Generation of Cross-Lingual Summaries. | Nisarg Jhaveri, Manish Gupta, Vasudeva Varma |
| 2018 | MOBICOM | MobiCom'18 Panel: Hammer & Nail vis-a-vis AI / ML Applications to Networked Systems. | Pravin Bhagwat, Andrea Goldsmith, Manish Gupta, Rajeev Rastogi, Gautam Shroff |
| 2018 | PAKDD | Tapping Community Memberships and Devising a Novel Homophily Modeling Approach for Trust Prediction. | Pulkit Parikh, Manish Gupta, Vasudeva Varma |
| 2018 | WWW | Towards Interpretation of Node Embeddings. | Ayushi Dalmia, Ganesh J, Manish Gupta |
| 2018 | VLSID | Hysteresis Free sub-60 mV/dec Subthreshold Swing in Junctionless MOSFETs. | Manish Gupta, Abhinav Kranti |
| 2017 | CIKM | Hybrid MemNet for Extractive Summarization. | Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma |
| 2017 | DAC | Compiler Techniques to Reduce the Synchronization Overhead of GPU Redundant Multithreading. | Manish Gupta, Daniel Lowell, John Kalamatianos, Steven Raasch, Vilas Sridharan, Dean M. Tullsen, Rajesh K. Gupta |
| 2017 | ECIR | Improving Tweet Representations Using Temporal and User Context. | Ganesh J, Manish Gupta, Vasudeva Varma |
| 2017 | GLOBECOM | User Presence Estimation in Multi-Occupancy Rooms Using Plug-Load Meters and PIR Sensors. | Sindhu S. Shetty, Duc Chinh Hoang, Manish Gupta, Sanjeev Kumar Panda |
| 2017 | ICDM | User Profiling Based Deep Neural Network for Temporal News Recommendation. | Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma |
| 2017 | IJCNLP | SSAS: Semantic Similarity for Abstractive Summarization. | Raghuram Vadapalli, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma |
| 2017 | WWW | Deep Learning for Hate Speech Detection in Tweets. | Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma |
| 2017 | SIGIR | Enhancing Categorization of Computer Science Research Papers using Knowledge Bases. | Shashank Gupta, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma, Umang Gupta |
| 2017 | VLSID | Suppressing Single Transistor Latch Effect in Energy Efficient Steep Switching Junctionless MOSFETs. | Manish Gupta, Abhinav Kranti |
| 2016 | COMAD | Entity Mining at Microsoft Bing. | Manish Gupta |
| 2016 | ICDM | Query-Based Evolutionary Graph Cuboid Outlier Detection. | Ayushi Dalmia, Manish Gupta, Vasudeva Varma |
| 2016 | IECON | Electrical submetering with repurposable applications for the built environment. | K. R. Krishnanand, Duc Chinh Hoang, Manish Gupta, Sanjib Kumar Panda |
| 2016 | IECON | Personal thermal comfort management in existing office buildings using energy-efficient fans. | Sindhu S. Shetty, Duc Chinh Hoang, Manish Gupta, Sanjeev Kumar Panda |
| 2016 | PAKDD | Predicting Post-operative Visual Acuity for LASIK Surgeries. | Manish Gupta, Prashant Gupta, Pravin K. Vaddavalli, Asra Fatima |
| 2016 | WWW | Author2Vec: Learning Author Representations by Combining Content and Link Information. | Ganesh J, Soumyajit Ganguly, Manish Gupta, Vasudeva Varma, Vikram Pudi |
| 2016 | SIGIR | Doc2Sent2Vec: A Novel Two-Phase Approach for Learning Document Representation. | Ganesh J, Manish Gupta, Vasudeva Varma |
| 2015 | SIGIR | CricketLinking: Linking Event Mentions from Cricket Match Reports to Ball Entities in Commentaries. | Manish Gupta |
| 2015 | SIGIR | Information Retrieval with Verbose Queries. | Manish Gupta, Michael Bendersky |
| 2014 | CIKM | Structured Information Extraction from Natural Disaster Events on Twitter. | Sandeep Panem, Manish Gupta, Vasudeva Varma |
| 2014 | ECIR | EDIUM: Improving Entity Disambiguation via User Modeling. | Romil Bansal, Sandeep Panem, Manish Gupta, Vasudeva Varma |
| 2014 | ECIR | Entity Tracking in Real-Time Using Sub-topic Detection on Twitter. | Sandeep Panem, Romil Bansal, Manish Gupta, Vasudeva Varma |
| 2014 | ICDE | Top-K interesting subgraph discovery in information networks. | Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han |
| 2014 | WWW | Cross market modeling for query-entity matching. | Manish Gupta, Prashant Borole, Praful Hebbar, Rupesh Kumar Mehta, Niranjan Nayak |
| 2014 | WWW | Towards a social media analytics platform: event detection and user profiling for twitter. | Manish Gupta, Rui Li, Kevin Chen-Chuan Chang |
| 2014 | SIGIR | CharBoxes: a system for automatic discovery of character infoboxes from books. | Manish Gupta, Piyush Bansal, Vasudeva Varma |
| 2014 | SIGIR | Exploiting Wikipedia inlinks for linking entities in queries. | Priya Radhakrishnan, Romil Bansal, Manish Gupta, Vasudeva Varma |
| 2014 | SIGIR | Modeling the evolution of product entities. | Priya Radhakrishnan, Manish Gupta, Vasudeva Varma |
| 2014 | SDM | Local Learning for Mining Outlier Subgraphs from Network Datasets. | Manish Gupta, Arun Mallya, Subhro Roy, Jason H. D. Cho, Jiawei Han |
| 2013 | DeSE | Novel Multivariate Time Series Clustering Approach for E-Governance of Crime Data. | B. Chandra, Manish Gupta |
| 2012 | EuroPar | Caching VM Instances for Fast VM Provisioning: A Comparative Evaluation. | Pradipta De, Manish Gupta, Manoj Soni, Aditya Thatte |
| 2012 | ICIS | Business Analytics: Radical Shift or Incremental Change? | Kirstin Gillon, Erik Brynjolfsson, Sunil Mithas, Jane Griffin, Manish Gupta |
| 2012 | KDD | Integrating community matching and outlier detection for mining evolutionary community outliers. | Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han |
| 2012 | NOMS | Caching techniques for rapid provisioning of virtual servers in cloud environment. | Pradipta De, Manish Gupta, Manoj Soni, Aditya Thatte |
| 2012 | NOMS | Tracking configuration changes proactively in large IT environments. | Manoj Soni, Venkateswara Reddy Madduri, Manish Gupta, Pradipta De |
| 2012 | PLDI | Verifying GPU kernels by test amplification. | Alan Leung, Manish Gupta, Yuvraj Agarwal, Rajesh Gupta, Ranjit Jhala, Sorin Lerner |
| 2012 | SIGMETRICS | Does lean imply green?: a study of the power performance implications of Java runtime bloat. | Suparna Bhattacharya, Karthick Rajamani, Kanchi Gopinath, Manish Gupta |
| 2012 | SDM | Evaluating Event Credibility on Twitter. | Manish Gupta, Peixiang Zhao, Jiawei Han |
| 2011 | ECOOP | Reuse, Recycle to De-bloat Software. | Suparna Bhattacharya, Mangala Gowri Nanda, Kanchi Gopinath, Manish Gupta |
| 2011 | FUSION | On Bayesian interpretation of fact-finding in information networks. | Dong Wang, Tarek F. Abdelzaher, Hossein Ahmadi, Jeff Pasternack, Dan Roth, Manish Gupta, Jiawei Han, Omid Fatemieh, Hieu Khac Le, Charu C. Aggarwal |
| 2011 | IM | A framework for migrating production snapshots of composite applications to virtualized environments. | Manish Sethi, Narendran Sachindran, Manoj Soni, Manish Gupta, Pratik Gupta |
| 2011 | WWW | Trust analysis with clustering. | Manish Gupta, Yizhou Sun, Jiawei Han |
| 2011 | WWW | Connecting the next billion web users. | Rajeev Rastogi, Ed Cutrell, Manish Gupta, Ashok Jhunjhunwala, Ramkumar Narayan, Rajeev Sanghal |
| 2011 | SOSP | The interplay of software bloat, hardware energy proportionality and system bottlenecks. | Suparna Bhattacharya, Karthick Rajamani, K. Gopinath, Manish Gupta |
| 2010 | COLING | Shallow Information Extraction from Medical Forum Data. | Parikshit Sondhi, Manish Gupta, ChengXiang Zhai, Julia Hockenmaier |
| 2010 | ICDCN | Spoken Web: A Parallel Web for the Masses: Industry Keynote. | Manish Gupta |
| 2010 | ICSOC | Towards Mitigating Human Errors in IT Change Management Process. | Venkateswara Reddy Madduri, Manish Gupta, Pradipta De, Vishal Anand |
| 2010 | WWW | LINKREC: a unified framework for link recommendation with user attributes and graph structure. | Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han |
| 2010 | SIGIR | iCollaborate: harvesting value from enterprise web usage. | Ajinkya Kale, Thomas Burris, Bhavesh Shah, T. L. Prasanna Venkatesan, Lakshmanan Velusamy, Manish Gupta, Melania Degerattu |
| 2008 | NOMS | Real-time problem localization for synchronous transactions in HTTP-based composite enterprise applications. | Narendran Sachindran, Manish Gupta |
| 2008 | NOMS | An open framework for federating integrated management model of distributed it environment. | Manish Sethi, Ashok Anand, Dipayan Gangopadhyay, Venkateswara Reddy Madduri, Manish Gupta |
| 2008 | SMC | A multivariate time series clustering approach for crime trends prediction. | B. Chandra, Manish Gupta, M. P. Gupta |
| 2008 | WWW | Detecting image spam using visual features and near duplicate detection. | Bhaskar Mehta, Saurabh Nangia, Manish Gupta, Wolfgang Nejdl |
| 2006 | HPCA | High performance file I/O for the Blue Gene/L supercomputer. | Hao Yu, Ramendra K. Sahoo, C. Howson, George Almsi, Jos G. Castaos, Manish Gupta, Jos E. Moreira, Jeffrey J. Parker, Thomas Engelsiepen, Robert B. Ross, Rajeev Thakur, Robert Latham, William D. Gropp |
| 2006 | NOMS | Problem Determination in Enterprise Middleware Systems using Change Point Correlation of Time Series Data. | Manoj K. Agarwal, Manish Gupta, Vijay Mann, Narendran Sachindran, Nikos Anerousis, Lily B. Mummert |
| 2006 | SC | Gordon Bell finalists I - Large scale drop impact analysis of mobile phone using ADVC on Blue Gene/L. | Hiroshi Akiba, Tomonobu Ohyama, Yoshinoir Shibata, Kiyoshi Yuyama, Yoshikazu Katai, Ryuichi Takeuchi, Takeshi Hoshino, Shinobu Yoshimura, Hirohisa Noguchi, Manish Gupta, John A. Gunnels, Vernon Austel, Yogish Sabharwal, Rahul Garg, Shoji Kato, Takashi Kawakami, Satoru Todokoro, Junko Ikeda |
| 2005 | DSN | Filtering Failure Logs for a BlueGene/L Prototype. | Yinglung Liang, Yanyong Zhang, Anand Sivasubramaniam, Ramendra K. Sahoo, Jos E. Moreira, Manish Gupta |
| 2005 | DSN | Probabilistic QoS Guarantees for Supercomputing Systems. | Adam J. Oliner, Larry Rudolph, Ramendra K. Sahoo, Jos E. Moreira, Manish Gupta |
| 2005 | EuroPar | Early Experience with Scientific Applications on the Blue Gene/L Supercomputer. | George Almsi, Gyan Bhanot, Dong Chen, Maria Eleftheriou, Blake G. Fitch, Alan Gara, Robert S. Germain, John A. Gunnels, Manish Gupta, Philip Heidelberger, Michael Pitman, Aleksandr Rayshubskiy, James C. Sexton, Frank Suits, Pavlos Vranas, Robert Walkup, T. J. Christopher Ward, Yuriy Zhestkov, Alessandro Curioni, Wanda Andreoni, Charles Archer, Jos E. Moreira, Richard Loft, Henry M. Tufo, Theron Voran, Katherine Riley |
| 2005 | ICS | Scaling physics and material science applications on a massively parallel Blue Gene/L system. | George Almsi, Gyan Bhanot, Alan Gara, Manish Gupta, James C. Sexton, Robert Walkup, Vasily V. Bulatov, Andrew W. Cook, Bronis R. de Supinski, James N. Glosli, Jeffrey A. Greenough, Franois Gygi, Alison Kubota, Steve Louis, Thomas E. Spelce, Frederick H. Streitz, Peter L. Williams, Robert K. Yates, Charles Archer, Jos E. Moreira, Charles A. Rendleman |
| 2004 | ECOOP | Finding and Removing Performance Bottlenecks in Large Systems. | Glenn Ammons, Jong-Deok Choi, Manish Gupta, Nikhil Swamy |
| 2004 | ICTAI | Automated Test Data Generation Using MEA-Graph Planning. | Manish Gupta, Farokh B. Bastani, Latifur Khan, I-Ling Yen |
| 2004 | NPC | Whole-Stack Analysis and Optimization of Commercial Workloads on Server Systems. | C. Richard Attanasio, Jong-Deok Choi, Niteesh Dubey, Kattamuri Ekanadham, Manish Gupta, Tatsushi Inagaki, Kazuaki Ishizaki, Joefon Jann, Robert D. Johnson, Toshio Nakatani, Il Park, Pratap Pattnaik, Mauricio J. Serrano, Stephen E. Smith, Ian M. Steiner, Yefim Shuf |
| 2004 | SC | Unlocking the Performance of the BlueGene/L Supercomputer. | George Almsi, Siddhartha Chatterjee, Alan Gara, John A. Gunnels, Manish Gupta, Amy Henning, Jos E. Moreira, Robert Walkup |
| 2003 | KDD | Critical event prediction for proactive management in large-scale computer clusters. | Ramendra K. Sahoo, Adam J. Oliner, Irina Rish, Manish Gupta, Jos E. Moreira, Sheng Ma, Ricardo Vilalta, Anand Sivasubramaniam |
| 2003 | SBAC-PAD | Enabling Dual-Core Mode in BlueGene/L: Challenges and Solutions. | George S. Almsi, Leonardo R. Bachega, Siddhartha Chatterjee, Manish Gupta, Derek Lieber, Xavier Martorell, Jos E. Moreira |
| 2002 | CLUSTER | Blue Gene/L, a System-On-A-Chip. | George S. Almsi, Daniel K. Beece, Ralph Bellofatto, Gyan Bhanot, Randy Bickford, Matthias A. Blumrich, Arthur A. Bright, Jos R. Brunheroto, Calin Cascaval, Jos G. Castaos, Luis Ceze, Paul Coteus, Siddhartha Chatterjee, Dong Chen, George L.-T. Chiu, Thomas M. Cipolla, Paul Crumley, Alina Deutsch, Marc Boris Dombrowa, Wilm E. Donath, Maria Eleftheriou, Blake G. Fitch, Joseph Gagliano, Alan Gara, Robert S. Germain, Mark Giampapa, Manish Gupta, Fred G. Gustavson, Shawn Hall, Ruud A. Haring, David F. Heidel, Philip Heidelberger, Lorraine Herger, Dirk Hoenicke, T. Jamal-Eddine, Gerard V. Kopcsay, Alphonso P. Lanzetta, Derek Lieber, M. Lu, Mark P. Mendell, Lawrence S. Mok, Jos E. Moreira, Ben J. Nathanson, Matthew Newton, Martin Ohmacht, Rick A. Rand, Richard D. Regan, Ramendra K. Sahoo, Alda Sanomiya, Eugen Schenfeld, Sarabjeet Singh, Peilin Song, Burkhard D. Steinmacher-Burow, Karin Strauss, Richard A. Swetz, Todd Takken, R. Brett Tremaine, Mickey Tsao, Pavlos Vranas, T. J. Christopher Ward, Michael E. Wazlowski, J. Brown, Thomas A. Liebsch, A. Schram, G. Ulsh |
| 2002 | HPCA | Evaluation of a Multithreaded Architecture for Cellular Computing. | Calin Cascaval, Jos G. Castaos, Luis Ceze, Monty Denneau, Manish Gupta, Derek Lieber, Jos E. Moreira, Karin Strauss, Henry S. Warren Jr. |
| 2002 | OOPSLA | Creating and preserving locality of java applications at allocation and garbage collection times. | Yefim Shuf, Manish Gupta, Hubertus Franke, Andrew W. Appel, Jaswinder Pal Singh |
| 2002 | POPL | Exploiting prolific types for memory management and optimizations. | Yefim Shuf, Manish Gupta, Rajesh Bordawekar, Jaswinder Pal Singh |
| 2002 | SC | An overview of the BlueGene/L Supercomputer. | Narasimha R. Adiga, George Almsi, George S. Almsi, Yariv Aridor, Rajkishore Barik, Daniel K. Beece, Ralph Bellofatto, Gyan Bhanot, Randy Bickford, Matthias A. Blumrich, Arthur A. Bright, Jos R. Brunheroto, Calin Cascaval, Jos G. Castaos, Waiman Chan, Luis Ceze, Paul Coteus, Siddhartha Chatterjee, Dong Chen, George L.-T. Chiu, Thomas M. Cipolla, Paul Crumley, K. M. Desai, Alina Deutsch, Tamar Domany, Marc Boris Dombrowa, Wilm E. Donath, Maria Eleftheriou, C. Christopher Erway, J. Esch, Blake G. Fitch, Joseph Gagliano, Alan Gara, Rahul Garg, Robert S. Germain, Mark Giampapa, Balaji Gopalsamy, John A. Gunnels, Manish Gupta, Fred G. Gustavson, Shawn Hall, Ruud A. Haring, David F. Heidel, Philip Heidelberger, Lorraine Herger, Dirk Hoenicke, R. D. Jackson, T. Jamal-Eddine, Gerard V. Kopcsay, Elie Krevat, Manish P. Kurhekar, Alphonso P. Lanzetta, Derek Lieber, L. K. Liu, M. Lu, Mark P. Mendell, A. Misra, Yosef Moatti, Lawrence S. Mok, Jos E. Moreira, Ben J. Nathanson, Matthew Newton, Martin Ohmacht, Adam J. Oliner, Vinayaka Pandit, R. B. Pudota, Rick A. Rand, Richard D. Regan, Bradley Rubin, Albert E. Ruehli, Silvius Vasile Rus, Ramendra K. Sahoo, Alda Sanomiya, Eugen Schenfeld, M. Sharma, Edi Shmueli, Sarabjeet Singh, Peilin Song, Vijay Srinivasan, Burkhard D. Steinmacher-Burow, Karin Strauss, Christopher W. Surovic, Richard A. Swetz, Todd Takken, R. Brett Tremaine, Mickey Tsao, Arun R. Umamaheshwaran, P. Verma, Pavlos Vranas, T. J. Christopher Ward, Michael E. Wazlowski, W. Barrett, C. Engel, B. Drehmel, B. Hilgart, D. Hill, F. Kasemkhani, David J. Krolak, Chun-Tao Li, Thomas A. Liebsch, James A. Marcella, A. Muff, A. Okomo, M. Rouse, A. Schram, M. Tubbs, G. Ulsh, Charles D. Wait, J. Wittrup, Myung Bae, Kenneth A. Dockser, Lynn Kissel, Mark K. Seager, Jeffrey S. Vetter, K. Yates |
| 2001 | EuroPar | Topic 04: Compilers for High Performance. | Jens Knoop, Manish Gupta, Keshav Pingali, Michael F. P. O'Boyle |
| 2001 | ICS | A framework for efficient reuse of binary code in Java. | Pramod G. Joisha, Samuel P. Midkiff, Mauricio J. Serrano, Manish Gupta |
| 2001 | SIGMETRICS | Characterizing the memory behavior of Java workloads: a structured view and opportunities for optimizations. | Yefim Shuf, Mauricio J. Serrano, Manish Gupta, Jaswinder Pal Singh |
| 2000 | ECOOP | Optimizing Java Programs in the Presence of Exceptions. | Manish Gupta, Jong-Deok Choi, Michael Hind |
| 2000 | ICS | Automatic loop transformations and parallelization for Java. | Pedro V. Artigas, Manish Gupta, Samuel P. Midkiff, Jos E. Moreira |
| 2000 | OOPSLA | Quicksilver: a quasi-static compiler for Java. | Mauricio J. Serrano, Rajesh Bordawekar, Samuel P. Midkiff, Manish Gupta |
| 1999 | EuroPar | Interaction Between Data Parallel Compilation and Data Transfer and Storage Cost Minimization for Multimedia Applications. | Chidamber Kulkarni, Koen Danckaert, Francky Catthoor, Manish Gupta |
| 1999 | OOPSLA | Escape Analysis for Java. | Jong-Deok Choi, Manish Gupta, Mauricio J. Serrano, Vugranam C. Sreedhar, Samuel P. Midkiff |
| 1999 | SC | High Performance Computing with the Array Package for Java: A Case Study using Data Mining. | Jos E. Moreira, Samuel P. Midkiff, Manish Gupta, Rick Lawrence |
| 1998 | PADS | A Nonblocking Algorithm for the Distributed Simulation of FCFS Queueing Networks with Irreducible Markovian Routing. | Manish Gupta, Anurag Kumar |
| 1998 | SC | Techniques for Speculative Run-Time Parallelization of Loops. | Manish Gupta, Rahul Nim |
| 1996 | PADS | Queueing Models and Stability of Message Flows in Distributed Simulators of Open Queueing Networks. | Manish Gupta, Anurag Kumar, Rajeev Shorey |
| 1996 | PLDI | Global Communication Analysis and Optimization. | Soumen Chakrabarti, Manish Gupta, Jong-Deok Choi |
| 1996 | POPL | Static Analysis to Reduce Synchronization Costs in Data-Parallel Programs. | Manish Gupta, Edith Schonberg |
| 1995 | SC | An HPF Compiler for the IBM SP2. | Manish Gupta, Samuel P. Midkiff, Edith Schonberg, Ven Seshadri, David Shields, Ko-Yang Wang, Wai-Mee Ching, Ton Ngo |
| 1993 | ICS | PARADIGM: A Compiler for Automatic Data Distribution on Multicomputers. | Manish Gupta, Prithviraj Banerjee |
| 1992 | ICS | A methodology for high-level synthesis of communication on multicomputers. | Manish Gupta, Prithviraj Banerjee |