Sushant Kumar

112 papers A* 10A 4B 6C 2Misc 2Journal 68Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Campaign-2-PT-RAG: LLM-Guided Semantic Product Type Attribution for Scalable Campaign Ranking.
CoRR
Yiming Che, Mansi Ranjit Mane, Keerthi Gopalakrishnan, Parisa Kaghazgaran, Murali Mohana Krishna Dandu, Archana Venkatachalapathy, Sinduja Subramaniam, Yokila Arora, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2026 A* conf
Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction.
WWW
Yanan Cao, Farnaz Fallahi, Murali Mohana Krishna Dandu, Lalitesh Morishetti, Kai Zhao, Luyi Ma, Sinduja Subramaniam, Jianpeng Xu, Evren Körpeoglu, Kaushiki Nag, Sushant Kumar, Kannan Achan
2026 J jnl
Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction.
CoRR
Yanan Cao, Farnaz Fallahi, Murali Mohana Krishna Dandu, Lalitesh Morishetti, Kai Zhao, Luyi Ma, Sinduja Subramaniam, Jianpeng Xu, Evren Körpeoglu, Kaushiki Nag, Sushant Kumar, Kannan Achan
2026 J jnl
Latent Customer Segmentation and Value-Based Recommendation Leveraging a Two-Stage Model with Missing Labels.
CoRR
Keerthi Gopalakrishnan, Tianning Dong, Chia-Yen Ho, Yokila Arora, Topojoy Biswas, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2026 J jnl
Reward shaping of deep reinforcement learning algorithm for autonomous navigation in a structured environment.
Intell. Serv. Robotics
Anu Priya, Ritu Tiwari, Pooja Agrawal, Sushant Kumar
2025 J jnl
A reward shaping approach used for end-to-end mapless navigation using deep reinforcement learning algorithm.
Clust. Comput.
Anu Priya, Ritu Tiwari, Pooja Agrawal, Sushant Kumar
2025 J jnl
ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation.
CoRR
Reza Yousefi Maragheh, Pratheek Vadla, Priyank Gupta, Kai Zhao, Aysenur Inan, Kehui Yao, Jianpeng Xu, Praveenkumar Kanumala, Jason H. D. Cho, Sushant Kumar
2025 J jnl
Adaptive Object Detection for Indoor Navigation Assistance: A Performance Evaluation of Real-Time Algorithms.
CoRR
Abhinav Pratap, Sushant Kumar, Suchinton Chakravarty
2025 Misc conf
Attack Resilient Federated Learning Framework.
ICISS
Sushant Kumar, Kasturi Routray, Padmalochan Bera
2025 J jnl
Blind Carrier Frequency Offset Estimation Techniques for Next-Generation Multicarrier Communication Systems: Challenges, Comparative Analysis, and Future Prospects.
IEEE Commun. Surv. Tutorials
Shivani Singh, Sushant Kumar, Sudhan Majhi, Udit Satija, Chau Yuen
2025 J jnl
CARTS: Collaborative Agents for Recommendation Textual Summarization.
CoRR
Jiao Chen, Kehui Yao, Reza Yousefi Maragheh, Kai Zhao, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
Causal Structure Learning for Recommender System.
Trans. Recomm. Syst.
Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang
2025 J jnl
Detection of Valvular Heart Diseases From PCG Signals Using Machine and Deep Learning Models: A Review.
IEEE Access
Ayappasamy Kannan, Manob Jyoti Saikia, Sushant Kumar, Sumit Datta
2025 A conf
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization.
RecSys
Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization.
CoRR
Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
LLM-driven Constrained Copy Generation through Iterative Refinement.
CoRR
Varun Vasudevan, Faezeh Akhavizadegan, Abhinav Prakash, Yokila Arora, Jason H. D. Cho, Tanya Mendiratta, Sushant Kumar, Kannan Achan
2025 — conf
Latent Customer Segmentation and Value-Based Recommendation Leveraging a Two-Stage Model with Missing Labels.
WWW (Companion Volume)
Keerthi Gopalakrishnan, Tianning Dong, Chia-Yen Ho, Yokila Arora, Topojoy Biswas, Jason Cho, Sushant Kumar, Kannan Achan
2025 B conf
MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box Systems.
IEEE Big Data
Shreeranjani Srirangamsridharan, Ali Abavisani, Reza Yousefi Maragheh, Ramin Giahi, Kai Zhao, Jason H. D. Cho, Sushant Kumar
2025 J jnl
MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box Systems.
CoRR
Shreeranjani Srirangamsridharan, Ali Abavisani, Reza Yousefi Maragheh, Ramin Giahi, Kai Zhao, Jason H. D. Cho, Sushant Kumar
2025 J jnl
No-Human in the Loop: Agentic Evaluation at Scale for Recommendation.
CoRR
Tao Zhang, Kehui Yao, Luyi Ma, Jiao Chen, Reza Yousefi Maragheh, Kai Zhao, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
ROSI: A hybrid solution for omni-channel feature integration in E-commerce.
Data Knowl. Eng.
Luyi Ma, Shengwei Tang, Anjana Ganesh, Jiao Chen, Aashika Padmanabhan, Malay Patel, Jianpeng Xu, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
Scalable Permutation-Aware Modeling for Temporal Set Prediction.
CoRR
Ashish Ranjan, Ayush Agarwal, Shalin Barot, Sushant Kumar
2025 J jnl
To See or To Read: User Behavior Reasoning in Multimodal LLMs.
CoRR
Tianning Dong, Luyi Ma, Varun Vasudevan, Jason Cho, Sushant Kumar, Kannan Achan
2025 J jnl
Wearing thin or wearing on? A mixed-method study of continued use and word-of-mouth intentions toward fitness wearables.
J. Enterp. Inf. Manag.
Shalini Talwar, Sushant Kumar, Varun Chotia, Peter Ractham
2024 J jnl
A new construction of almost-optimal multiple ZCZ sequence sets for multi-cell QS-CDMA system.
Cryptogr. Commun.
Nishant Kumar, Sudhan Majhi, Sushant Kumar
2024 J jnl
Applications, Challenges, and Future Directions of Human-in-the-Loop Learning.
IEEE Access
Sushant Kumar, Sumit Datta, Vishakha Singh, Deepanwita Datta, Sanjay Kumar Singh, Ritesh Sharma
2024 J jnl
Blind CFOs Estimation by Capon Method for Multi-User MIMO-OFDMA Uplink System.
IEEE Signal Process. Lett.
Shivani Singh, Sushant Kumar, Sudhan Majhi, Udit Satija
2024 J jnl
Caged, helpless but not bored: consumption values derived from over-the-top platforms during pandemic.
Inf. Technol. People
Shalini Talwar, Puneet Kaur, Sushant Kumar, Michel Laroche, Amandeep Dhir
2024 A* conf
Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners.
KDD
Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan
2024 J jnl
Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners.
CoRR
Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan
2024 J jnl
Event-based Product Carousel Recommendation with Query-Click Graph.
CoRR
Luyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2024 B conf
Improving Sequential Recommender Systems with Online and In-store User Behavior.
IEEE Big Data
Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2024 J jnl
Improving Sequential Recommender Systems with Online and In-store User Behavior.
CoRR
Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason Cho, Sushant Kumar, Kannan Achan
2024 — conf
Joint Symbol Timing and Frequency Offset Estimation Using Zero Correlation Zone Sequence for RIS-assisted OFDM Systems.
ICCCNT
Shivani Singh, Sushant Kumar Jha, Sushant Kumar
2024 A* conf
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.
SIGIR
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024 J jnl
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.
CoRR
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024 J jnl
Opportunities and Challenges in Data-Centric AI.
IEEE Access
Sushant Kumar, Sumit Datta, Vishakha Singh, Sanjay Kumar Singh, Ritesh Sharma
2024 J jnl
Opportunities and Challenges in Deep Compressed Sensing Techniques for Multichannel ECG Data Compression.
SN Comput. Sci.
Sushant Kumar, Ram Bilas Pachori, Bhabesh Deka, Sumit Datta
2024 J jnl
Personalized diversification of complementary recommendations with user preference in online grocery.
Frontiers Big Data
Luyi Ma, Nimesh Sinha, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2024 J jnl
Relation labeling in product knowledge graphs with large language models for e-commerce.
Int. J. Mach. Learn. Cybern.
Jiao Chen, Luyi Ma, Xiaohan Li, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024 — conf
Thread Detection and Response Generation Using Transformers with Prompt Optimisation.
SPCOM
Kevin Joshua T, Arnav Agarwal, Shriya Sanjay, Yash Sarda, John Sahaya Rani Alex, Saurav Gupta, Sushant Kumar, Vishwanath Kamath
2024 J jnl
Thread Detection and Response Generation using Transformers with Prompt Optimisation.
CoRR
Kevin Joshua T, Arnav Agarwal, Shriya Sanjay, Yash Sarda, John Sahaya Rani Alex, Saurav Gupta, Sushant Kumar, Vishwanath Kamath
2024 J jnl
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations.
CoRR
Luyi Ma, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sushant Kumar, Kannan Achan
2023 — conf
A Recent Study of Machine Learning Based Techniques for the Detection of Cyber-Attacks on Web Applications.
IC3I
Sushant Kumar, Makul Mahajan, Salil Batra
2023 J jnl
FAVOR: functional annotation of variants online resource and annotator for variation across the human genome.
Nucleic Acids Res.
Hufeng Zhou, Theodore Arapoglou, Xihao Li, Zilin Li, Xiuwen Zheng, Jill Moore, Abhijith Asok, Sushant Kumar, Elizabeth E. Blue, Steven Buyske, Nancy J. Cox, Adam Felsenfeld, Mark Gerstein, Eimear Kenny, Bingshan Li, Tara Cox Matise, Anthony Philippakis, Heidi L. Rehm, Heidi J. Sofia, Grace Snyder, Zhiping Weng, Benjamin M. Neale, Shamil R. Sunyaev, Xihong Lin
2023 — conf
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation.
ICDM (Workshops)
Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 J jnl
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation.
CoRR
Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 J jnl
Investigating the relationships between influencers and their followers: Moderator of human brand of influencer (HBI) phase.
Electron. Commer. Res. Appl.
Jung-Kuei Hsieh, Sushant Kumar, Yun-Chia Tang, Guan-Zhen Huang
2023 J jnl
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs.
CoRR
Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 J jnl
LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models.
CoRR
Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason H. D. Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 B conf
LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models.
IEEE Big Data
Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason H. D. Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 B conf
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing.
IEEE Big Data
Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 J jnl
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing.
CoRR
Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 — conf
Low-Loss, High Extinction Ratio Fiber to Chip Connection via Laser Fusion for Polarization Maintaining Fibers.
OFC
Sushant Kumar, Juniyali Nauriyal, Jaime Cardenas
2023 J jnl
Potential Impact of Data-Centric AI on Society.
IEEE Technol. Soc. Mag.
Sushant Kumar, Ritesh Sharma, Vishakha Singh, Shrikant Tiwari, Sanjay Kumar Singh, Sumit Datta
2023 J jnl
Seller-side Outcome Fairness in Online Marketplaces.
CoRR
Zikun Ye, Reza Yousefi Maragheh, Lalitesh Morishetti, Shanu Vashishtha, Jason Cho, Kaushiki Nag, Sushant Kumar, Kannan Achan
2022 J jnl
An Algorithmic Approach to Adapting Edge-based Devices for Autonomous Robotic Navigation.
EAI Endorsed Trans. Context aware Syst. Appl.
Mbadiwe Samuel Benyeogor, Kosisochukwu Pal Nnoli, Oladayo Olufemi Olakanmi, Olusegun I. Lawal, Eric J. Gratton, Sushant Kumar, Kenneth A. Akpado, Piyal Saha
2022 J jnl
Causal Structure Learning with Recommendation System.
CoRR
Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen D. Guo, Kannan Achan, Yongfeng Zhang
2022 J jnl
Design and Testbed Implementation of Blind Parameter Estimated OFDM Receiver.
IEEE Trans. Instrum. Meas.
Mahesh Shamrao Chaudhari, Sushant Kumar, Rahul Gupta, Manish Kumar, Sudhan Majhi
2022 J jnl
Design and Testbed Implementation of Multiuser CFOs Estimation for MIMO SC-FDMA System.
IEEE Trans. Signal Process.
Sushant Kumar, Sudhan Majhi
2022 A* conf
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation.
ICLR
Da Xu, Yuting Ye, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2022 J jnl
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation.
CoRR
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2022 B conf
Prospect-Net: Top-K Retrieval Problem Using Prospect Theory.
IEEE Big Data
Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 A* conf
A Temporal Kernel Approach for Deep Learning with Continuous-time Information.
ICLR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 J jnl
A Temporal Kernel Approach for Deep Learning with Continuous-time Information.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 B conf
Blind CFO Estimation for Multi-user in SC-FDMA Uplink Systems Using Variance Minimization.
IWCMC
Harsha, Sushant Kumar, Sudhan Majhi
2021 J jnl
Design and Implementation of Blind Modulation Classification for Asynchronous MIMO-OFDM System.
IEEE Trans. Instrum. Meas.
Amit Kumar Pathy, Anand Kumar, Rahul Gupta, Sushant Kumar, Sudhan Majhi
2021 — conf
Event-based Product Carousel Recommendation with Query-Click Graph.
IEEE BigData
Luyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2021 J jnl
Impact of National Culture on E-Government Development: A Longitudinal Study.
J. Glob. Inf. Manag.
Sushant Kumar, Kuldeep Baishya, Naman Sreen, Pradip H. Sadarangani, Harsh Vardhan Samalia
2021 — conf
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation.
IEEE BigData
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 A* conf
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives.
ICML
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 J jnl
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 A conf
Theoretical Understandings of Product Embedding for E-commerce Machine Learning.
WSDM
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 J jnl
Theoretical Understandings of Product Embedding for E-commerce Machine Learning.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 A* conf
Towards the D-Optimal Online Experiment Design for Recommender Selection.
KDD
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 J jnl
Towards the D-Optimal Online Experiment Design for Recommender Selection.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 J jnl
Variational Inference for Category Recommendation in E-Commerce platforms.
CoRR
Ramasubramanian Balasubramanian, Venugopal Mani, Abhinav Mathur, Sushant Kumar, Kannan Achan
2020 A* conf
Adversarial Counterfactual Learning and Evaluation for Recommender System.
NeurIPS
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 J jnl
Adversarial Counterfactual Learning and Evaluation for Recommender System.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 J jnl
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.
Nat.
Esther Rheinbay, Morten Muhlig Nielsen, Federico Abascal, Jeremiah Wala, Ofer Shapira, Grace Tiao, Henrik Hornshøj, Julian M. Hess, Randi Istrup Juul, Ziao Lin, Lars Feuerbach, Radhakrishnan Sabarinathan, Tobias Madsen, Jaegil Kim, Loris Mularoni, Shimin Shuai, Andrés Lanzós, Carl Herrmann, Yosef E. Maruvka, Ciyue Shen, Samirkumar B. Amin, Pratiti Bandopadhayay, Johanna Bertl, Keith A. Boroevich, John Busanovich, Joana Carlevaro-Fita, Dimple Chakravarty, Calvin Wing Yiu Chan, David Craft, Priyanka Dhingra, Klev Diamanti, Nuno A. Fonseca, Abel González-Pérez, Qianyun Guo, Mark P. Hamilton, Nicholas J. Haradhvala, Chen Hong, Keren Isaev, Todd A. Johnson, Malene Juul, André Kahles, Abdullah Kahraman, Youngwook Kim, Jan Komorowski, Kiran Kumar, Sushant Kumar, Donghoon Lee, Kjong-Van Lehmann, Yilong Li, Eric Minwei Liu, Lucas Lochovsky, Keunchil Park, Oriol Pich, Nicola D. Roberts, Gordon Saksena, Steven E. Schumacher, Nikos Sidiropoulos, Lina Sieverling, Nasa Sinnott-Armstrong, Chip Stewart, David Tamborero, Jose M. C. Tubio, Husen M. Umer, Liis Uusküla-Reimand, Claes Wadelius, Lina Wadi, Xiaotong Yao, Cheng-Zhong Zhang, Jing Zhang, James E. Haber, Asger Hobolth, Marcin Imielinski, Manolis Kellis, Michael S. Lawrence, Christian von Mering, Hidewaki Nakagawa, Benjamin J. Raphael, Mark A. Rubin, Chris Sander, Lincoln D. Stein, Joshua M. Stuart, Tatsuhiko Tsunoda, David A. Wheeler, Rory Johnson, Jüri Reimand, Mark Gerstein, Ekta Khurana, Peter J. Campbell, Núria López-Bigas, Gary D. Bader, Jonathan Barenboim, Rameen Beroukhim, Søren Brunak, Ken Chen, Jung Kyoon Choi, Jordi Deu-Pons, J. Lynn Fink, Joan Frigola, Carlo Gambacorti Passerini, Dale W. Garsed, Gad Getz, Ivo Glynne Gut, David Haan, Arif Ozgun Harmanci, Mohamed Helmy, Ermin Hodzic, José M. G. Izarzugaza, Jong K. Kim, Jan O. Korbel, Erik Larsson, Shantao Li, Xiaotong Li, Shaoke Lou, Kathleen Marchal, Iñigo Martincorena, Alexander Martínez-Fundichely, Patrick D. McGillivray, William Meyerson, Ferran Muiños, Marta Paczkowska, Kiejung Park, Jakob Skou Pedersen, Tirso Pons, Sergio Pulido-Tamayo, Iker Reyes-Salazar, Matthew A. Reyna, Carlota Rubio-Perez, Süleyman Cenk Sahinalp, Leonidas Salichos, Mark Shackleton, Raunak Shrestha, Alfonso Valencia, Miguel Vazquez, Lieven P. C. Verbeke, Jiayin Wang, Jonathan Warrell, Sebastian M. Waszak, Joachim Weischenfeldt, Guanming Wu, Jun Yu, Xuanping Zhang, Yan Zhang, Zhongming Zhao, Lihua Zou, Kadir C. Akdemir, Eva G. Alvarez, Adrian Baez-Ortega, Paul C. Boutros, David D. L. Bowtell, Benedikt Brors, Kathleen H. Burns, Kin Chan, Isidro Cortés-Ciriano, Ana Dueso-Barroso, Andrew J. Dunford, Paul A. Edwards, Xavier Estivill, Dariush Etemadmoghadam, Milana Frenkel-Morgenstern, Dmitry A. Gordenin, Barbara Hutter, David T. W. Jones, Young Seok Ju, Marat D. Kazanov, Leszek J. Klimczak, Youngil Koh, Eunjung Alice Lee, Jake June-Koo Lee, Andy G. Lynch, Geoff MacIntyre, Florian Markowetz, Matthew Meyerson, Satoru Miyano, Fabio C. P. Navarro, Stephan Ossowski, Peter J. Park, John V. Pearson, Montserrat Puiggròs, Karsten Rippe, Steven A. Roberts, Bernardo Rodriguez-Martin, Ralph Scully, David Torrents, Izar Villasante, Nicola Waddell, Jeremiah A. Wala, Lixing Yang, Sung-Soo Yoon, Jorge Zamora
2020 J jnl
Blind Modulation Classification for Asynchronous OFDM Systems Over Unknown Signal Parameters and Channel Statistics.
IEEE Trans. Veh. Technol.
Rahul Gupta, Sushant Kumar, Sudhan Majhi
2020 J jnl
Inductive Representation Learning on Temporal Graphs.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 A* conf
Inductive representation learning on temporal graphs.
ICLR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 A conf
Knowledge-aware Complementary Product Representation Learning.
WSDM
Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020 J jnl
Multichannel ECG Compression using Block-Sparsity-based Joint Compressive Sensing.
Circuits Syst. Signal Process.
Sushant Kumar, Bhabesh Deka, Sumit Datta
2020 J jnl
Multiple CFOs Estimation and Implementation of SC-FDMA Uplink System Using Oversampling and Iterative Method.
IEEE Trans. Veh. Technol.
Sushant Kumar, Mahesh Shamrao Chaudhari, Rahul Gupta, Sudhan Majhi
2020 J jnl
On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs.
CoRR
Behzad Shahrasbi, Venugopal Mani, Apoorv Reddy Arrabothu, Deepthi Sharma, Kannan Achan, Sushant Kumar
2020 — conf
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering.
IEEE BigData
Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan
2020 J jnl
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering.
CoRR
Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan
2020 — conf
Personalizing Item Recommendation via Price Understanding.
ComplexRec-ImpactRS@RecSys
Soumya Wadhwa, Ashish Ranjan, Selene Xu, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2020 A conf
Product Knowledge Graph Embedding for E-commerce.
WSDM
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 — conf
Blind Modulation Classification for OFDM in the Presence of Timing, Frequency, and Phase Offsets.
VTC Fall
Rahul Gupta, Sushant Kumar, Sudhan Majhi
2019 — conf
Block-Sparsity Based Compressed Sensing for Multichannel ECG Reconstruction.
PReMI (2)
Sushant Kumar, Bhabesh Deka, Sumit Datta
2019 J jnl
Dual Role CDSC-Based Dual Vector Control for Effective Operation of DVR With Harmonic Mitigation.
IEEE Trans. Ind. Electron.
Anbalagan Karthikeyan, Deshpande Gururaj Abhilash Krishna, Sushant Kumar, B. Venkatesa Perumal, Sukumar Mishra
2019 Misc conf
Generative Graph Convolutional Network for Growing Graphs.
ICASSP
Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 J jnl
Generative Graph Convolutional Network for Growing Graphs.
CoRR
Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 J jnl
Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 J jnl
Product Knowledge Graph Embedding for E-commerce.
CoRR
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 — conf
Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries.
IEEE BigData
Luyi Ma, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2019 A* conf
Self-attention with Functional Time Representation Learning.
NeurIPS
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 J jnl
Self-attention with Functional Time Representation Learning.
CoRR
Da Xu, Chuanwei Ruan, Sushant Kumar, Evren Körpeoglu, Kannan Achan
2019 C conf
Weighted Block Compressed Sensing for Multichannel Fetal ECG Reconstruction.
TENCON
Sushant Kumar, Bhabesh Deka, Sumit Datta
2018 C conf
Impact and Mitigation of Electric Vehicle Plug-in on the PV fed DC-bus Charging Station.
IECON
Sushant Kumar, Ritesh Kumar Keshri, H. M. Suryawanshi
2018 J jnl
Multi-User CFOs Estimation for SC-FDMA System Over Frequency Selective Fading Channels.
IEEE Access
Sushant Kumar, Sudhan Majhi, Chau Yuen
2018 J jnl
Robust Counterfactual Inferences using Feature Learning and their Applications.
CoRR
Abhimanyu Mitra, Kannan Achan, Sushant Kumar
2017 — conf
Automatic modulation classification by exploiting cyclostationary features in wavelet domain.
NCC
Sushant Kumar, Vivek Ashok Bohara, Sumit Jagdish Darak
2016 — conf
Blind symbol rate estimation by exploiting cyclostationary features in wavelet domain.
ICACCI
Sushant Kumar, Vivek Ashok Bohara, Sumit Jagdish Darak
2016 — conf
Modified ACO to maintain diversity in regression test optimization.
RAIT
Sushant Kumar, Prabhat Ranjan, R. Rajesh
2016 — conf
Voice and touch control home automation.
RAIT
Sushant Kumar, S. S. Solanki
2015 — conf
Hand gesture recognition of English alphabets using artificial neural network.
ReTIS
Sourav Bhowmick, Sushant Kumar, Anurag Kumar
2009 — conf
IIT Kharagpur at TAC 2009: Statistical and Nugget-based Model for Automatic Summary Evaluation.
TAC
Sushant Kumar, Abhijeet Kumar
2008 — conf
IIT Kharagpur at TAC 2008: Statistical Model for Opinion Summarization.
TAC
Sushant Kumar, Diptesh Chatterjee