Shashank Gupta
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
44
Venues
30
Active years
1998–2026
Best venue rank
A*
Where they publish
- A*SIGIR5 papers
- A*ICLR3 papers
- ACIKM3 papers
- AECIR3 papers
- UnrankedICTIR2 papers
- ARecSys2 papers
- A*ICDM2 papers
- A*WWW2 papers
- BICIP1 paper
- CNLDB1 paper
- A*ACL1 paper
- A*CVPR1 paper
- A*EMNLP1 paper
- BIJCNN1 paper
- BVTC1 paper
- AWSDM1 paper
- A*PERCOM1 paper
- CWoWMoM1 paper
- BGLOBECOM1 paper
- AustralasianDICTA1 paper
- BSSPR1 paper
- NationalACSSC1 paper
- BLREC1 paper
- BQoMEX1 paper
- NationalRANLP1 paper
- A*INFOCOM1 paper
- BNSS1 paper
- NationalHiPC1 paper
- NationalHOTI1 paper
- NationalVLSID1 paper
Papers
44 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGIR | Additive Control Variates Dominate Self-Normalisation in Off-Policy Evaluation. | Olivier Jeunen, Shashank Gupta |
| 2025 | ICIP | PIT-QMM: A Large Multimodal Model for No-Reference Point Cloud Quality Assessment. | Shashank Gupta, Gregoire Phillips, Alan C. Bovik |
| 2025 | ICLR | LLM-SR: Scientific Equation Discovery via Programming with Large Language Models. | Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy |
| 2025 | ICTIR | Towards Two-Stage Counterfactual Learning to Rank. | Shashank Gupta, Yiming Liao, Maarten de Rijke |
| 2025 | NLDB | Comparison of Pipelines, Seq2seq Models, and LLMs for Rare Disease Information Extraction. | Shashank Gupta, Xuguang Ai, Yuhang Jiang, Ramakanth Kavuluru |
| 2024 | ACL | AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents. | Harsh Trivedi, Tushar Khot, Mareike Hartmann, Ruskin Manku, Vinty Dong, Edward Li, Shashank Gupta, Ashish Sabharwal, Niranjan Balasubramanian |
| 2024 | CIKM | Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank. | Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke |
| 2024 | CIKM | Covid19-twitter: A Twitter-based Dataset for Discourse Analysis in Sentence-level Sentiment Classification. | Shashank Gupta, Mohamed Reda Bouadjenek, Antonio Robles-Kelly, Tsz-Kwan Lee, Thanh Thi Nguyen, Asef Nazari, Dhananjay R. Thiruvady |
| 2024 | CVPR | NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. | Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, Haoning Wu, Yixuan Gao, Yuqin Cao, Zicheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei Zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu, Jie Zhou, Shiding Zhu, Bohan Yu, Pengfei Chen, Xinrui Xu, Jiabin Shen, Zhichao Duan, Erfan Asadi, Jiahe Liu, Qi Yan, Youran Qu, Xiaohui Zeng, Lele Wang, Renjie Liao |
| 2024 | EMNLP | SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories. | Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot |
| 2024 | ICLR | Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. | Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot |
| 2024 | IJCNN | MARKS-mech: A Mask-based Prior Knowledge Dissemination Mechanism for including Discourse Relations for Sentiment Classification. | Shashank Gupta, Antonio Robles-Kelly, Mohamed Reda Bouadjenek, Asef Nazari, Dhananjay R. Thiruvady |
| 2024 | RecSys | Optimal Baseline Corrections for Off-Policy Contextual Bandits. | Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke |
| 2024 | VTC | Optimizing Quality-of-Service (QoS) using Semantic Sensing and Digital-Twin in Pro-dynamic Internet of Vehicles (IoV). | Oshin Rawlley, Shashank Gupta, Tanisha Bhattacharyya, Shikhar Singh |
| 2024 | WSDM | Unbiased Learning to Rank: On Recent Advances and Practical Applications. | Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis |
| 2023 | ECIR | A Mask-Based Logic Rules Dissemination Method for Sentiment Classifiers. | Shashank Gupta, Mohamed Reda Bouadjenek, Antonio Robles-Kelly |
| 2023 | ICTIR | A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback. | Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke |
| 2023 | PERCOM | PADAAV: Enhancing Perception Systems using GAN-generated Adversarial Augmented Domains for Autonomous Vehicles. | Oshin Rawlley, Shashank Gupta |
| 2023 | SIGIR | Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. | Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis |
| 2023 | SIGIR | Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. | Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke |
| 2022 | ICLR | Knowledge Infused Decoding. | Ruibo Liu, Guoqing Zheng, Shashank Gupta, Radhika Gaonkar, Chongyang Gao, Soroush Vosoughi, Milad Shokouhi, Ahmed Hassan Awadallah |
| 2022 | WoWMoM | Artificial Intelligence-Empowered Optimal Roadside Unit (RSU) Deployment Mechanism for Internet of Vehicles (IoV). | Debjani Ghosh, Hardik Katehara, Oshin Rawlley, Shashank Gupta, Naveen Arulselvan, Vinay Chamola |
| 2021 | GLOBECOM | Leveraging Machine Learning and SDN-Fog Infrastructure to Mitigate Flood Attacks. | Harsh Sharma, Shashank Gupta |
| 2020 | DICTA | Feature-Extracting Functions for Neural Logic Rule Learning. | Shashank Gupta, Antonio Robles-Kelly |
| 2020 | RecSys | Recommending in changing times. | Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam Shroff, Shashank Gupta |
| 2020 | SIGIR | Predicting Session Length for Product Search on E-commerce Platform. | Shashank Gupta, Subhadeep Maji |
| 2020 | SSPR | Feature Extraction Functions for Neural Logic Rule Learning. | Shashank Gupta, Antonio Robles-Kelly, Mohamed Reda Bouadjenek |
| 2019 | ACSSC | Perceptually Driven Conditional GAN for Fourier Ptychography. | Abhinau Kumar Venkataramanan, Shashank Gupta, Sumohana S. Channappayya |
| 2018 | CIKM | RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. | Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, 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 | LREC | CogCompNLP: Your Swiss Army Knife for NLP. | Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev-Arie Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth |
| 2017 | ICDM | User Profiling Based Deep Neural Network for Temporal News Recommendation. | Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma |
| 2017 | ICDM | Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation. | Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Vasudeva Varma |
| 2017 | QoMEX | No-reference quality assessment of tone mapped High Dynamic Range (HDR) images using transfer learning. | Abhinau Kumar Venkataramanan, Shashank Gupta, Sai Sheetal Chandra, Shanmuganathan Raman, Sumohana S. Channappayya |
| 2017 | RANLP | Making Travel Smarter: Extracting Travel Information From Email Itineraries Using Named Entity Recognition. | Divyansh Kaushik, Shashank Gupta, Chakradhar Raju, Reuben Dias, Sanjib Ghosh |
| 2017 | WWW | Deep Learning for Hate Speech Detection in Tweets. | Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma |
| 2017 | WWW | Scientific Article Recommendation by using Distributed Representations of Text and Graph. | Shashank 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 |
| 2016 | INFOCOM | OpenFlow-based live video streaming with GENI Cinema. | Ryan Izard, Qing Wang, Benton Kribbs, Joseph Porter, Kuang-Ching Wang, Shashank Gupta, Aditya Prakash, Parmesh Ramanathan |
| 2016 | NSS | An Infrastructure-Based Framework for the Alleviation of JavaScript Worms from OSN in Mobile Cloud Platforms. | Shashank Gupta, Brij Bhooshan Gupta |
| 2013 | HiPC | Web-scale entity annotation using MapReduce. | Shashank Gupta, Varun Chandramouli, Soumen Chakrabarti |
| 2002 | HOTI | Multicast Scheduling for Switches with Multiple Input-Queues. | Shashank Gupta, Adnan Aziz |
| 1998 | VLSID | Real Time Collision Detection and Avoidance: A Case Study for Design Space Exploration in HW-SW Codesign. | Sandeep K. Lodha, Shashank Gupta, M. Balakrishnan, Subhashis Banerjee |