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ORCIDSushant Kumar
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j19]Sushant Kumar, Sumit Datta
, Vishakha Singh, Sanjay Kumar Singh, Ritesh Sharma:
Opportunities and Challenges in Data-Centric AI. IEEE Access 12: 33173-33189 (2024)- [j18]Sushant Kumar, Sumit Datta, Vishakha Singh, Deepanwita Datta, Sanjay Kumar Singh, Ritesh Sharma:
Applications, Challenges, and Future Directions of Human-in-the-Loop Learning. IEEE Access 12: 75735-75760 (2024) - [j17]Nishant Kumar, Sudhan Majhi, Sushant Kumar:
A new construction of almost-optimal multiple ZCZ sequence sets for multi-cell QS-CDMA system. Cryptogr. Commun. 16(3): 541-556 (2024) - [j16]Luyi Ma, Nimesh Sinha, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Personalized diversification of complementary recommendations with user preference in online grocery. Frontiers Big Data 6 (2024) - [j15]Shalini Talwar, Puneet Kaur, Sushant Kumar, Michel Laroche, Amandeep Dhir:
Caged, helpless but not bored: consumption values derived from over-the-top platforms during pandemic. Inf. Technol. People 37(1): 422-448 (2024) - [c34]Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan:
Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners. KDD 2024: 5825-5835 - [c33]Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. SIGIR 2024: 2910-2914 - [i27]Luyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Event-based Product Carousel Recommendation with Query-Click Graph. CoRR abs/2402.03277 (2024) - [i26]Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. CoRR abs/2403.00863 (2024) - [i25]Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan:
Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners. CoRR abs/2403.05578 (2024) - [i24]Kevin Joshua T, Arnav Agarwal, Shriya Sanjay, Yash Sarda, John Sahaya Rani Alex, Saurav Gupta, Sushant Kumar, Vishwanath Kamath:
Thread Detection and Response Generation using Transformers with Prompt Optimisation. CoRR abs/2403.05931 (2024) - 2023
- [j14]Jung-Kuei Hsieh, Sushant Kumar, Yun-Chia Tang, Guan-Zhen Huang:
Investigating the relationships between influencers and their followers: Moderator of human brand of influencer (HBI) phase. Electron. Commer. Res. Appl. 58: 101252 (2023) - [j13]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:
FAVOR: functional annotation of variants online resource and annotator for variation across the human genome. Nucleic Acids Res. 51(D1): 1300-1311 (2023) - [j12]Sushant Kumar, Ritesh Sharma, Vishakha Singh, Shrikant Tiwari, Sanjay Kumar Singh, Sumit Datta:
Potential Impact of Data-Centric AI on Society. IEEE Technol. Soc. Mag. 42(3): 98-107 (2023) - [c32]Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. IEEE Big Data 2023: 3144-3148 - [c31]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:
LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models. IEEE Big Data 2023: 4318-4324 - [c30]Sushant Kumar, Makul Mahajan, Salil Batra:
A Recent Study of Machine Learning Based Techniques for the Detection of Cyber-Attacks on Web Applications. IC3I 2023: 153-158 - [c29]Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. ICDM (Workshops) 2023: 1484-1492 - [c28]Sushant Kumar, Juniyali Nauriyal, Jaime Cardenas:
Low-Loss, High Extinction Ratio Fiber to Chip Connection via Laser Fusion for Polarization Maintaining Fibers. OFC 2023: 1-3 - [i23]Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. CoRR abs/2305.09858 (2023) - [i22]Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. CoRR abs/2310.17732 (2023) - [i21]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:
LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models. CoRR abs/2312.00909 (2023) - [i20]Zikun Ye, Reza Yousefi Maragheh, Lalitesh Morishetti, Shanu Vashishtha, Jason Cho, Kaushiki Nag, Sushant Kumar, Kannan Achan:
Seller-side Outcome Fairness in Online Marketplaces. CoRR abs/2312.03253 (2023) - [i19]Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. CoRR abs/2312.16351 (2023) - 2022
- [j11]Mbadiwe Samuel Benyeogor, Kosisochukwu Pal Nnoli, Oladayo Olufemi Olakanmi, Olusegun I. Lawal, Eric J. Gratton, Sushant Kumar, Kenneth A. Akpado, Piyal Saha:
An Algorithmic Approach to Adapting Edge-based Devices for Autonomous Robotic Navigation. EAI Endorsed Trans. Context aware Syst. Appl. 8(1): e2 (2022) - [j10]Mahesh Shamrao Chaudhari, Sushant Kumar, Rahul Gupta, Manish Kumar, Sudhan Majhi:
Design and Testbed Implementation of Blind Parameter Estimated OFDM Receiver. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j9]Sushant Kumar, Sudhan Majhi:
Design and Testbed Implementation of Multiuser CFOs Estimation for MIMO SC-FDMA System. IEEE Trans. Signal Process. 70: 1880-1889 (2022) - [c27]Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Prospect-Net: Top-K Retrieval Problem Using Prospect Theory. IEEE Big Data 2022: 3945-3951 - [c26]Da Xu, Yuting Ye, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation. ICLR 2022 - [i18]Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. CoRR abs/2202.05456 (2022) - [i17]Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang:
Causal Structure Learning with Recommendation System. CoRR abs/2210.10256 (2022) - 2021
- [j8]Sushant Kumar, Kuldeep Baishya, Naman Sreen, Pradip H. Sadarangani, Harsh Vardhan Samalia:
Impact of National Culture on E-Government Development: A Longitudinal Study. J. Glob. Inf. Manag. 29(2): 1-22 (2021) - [j7]Amit Kumar Pathy, Anand Kumar, Rahul Gupta, Sushant Kumar, Sudhan Majhi:
Design and Implementation of Blind Modulation Classification for Asynchronous MIMO-OFDM System. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c25]Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. IEEE BigData 2021: 469-479 - [c24]Luyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Event-based Product Carousel Recommendation with Query-Click Graph. IEEE BigData 2021: 4119-4125 - [c23]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
A Temporal Kernel Approach for Deep Learning with Continuous-time Information. ICLR 2021 - [c22]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. ICML 2021: 11514-11524 - [c21]Harsha, Sushant Kumar, Sudhan Majhi:
Blind CFO Estimation for Multi-user in SC-FDMA Uplink Systems Using Variance Minimization. IWCMC 2021: 1971-1976 - [c20]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Towards the D-Optimal Online Experiment Design for Recommender Selection. KDD 2021: 3817-3825 - [c19]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. WSDM 2021: 256-264 - [i16]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. CoRR abs/2102.12029 (2021) - [i15]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
A Temporal Kernel Approach for Deep Learning with Continuous-time Information. CoRR abs/2103.15213 (2021) - [i14]Ramasubramanian Balasubramanian, Venugopal Mani, Abhinav Mathur, Sushant Kumar, Kannan Achan:
Variational Inference for Category Recommendation in E-Commerce platforms. CoRR abs/2104.07748 (2021) - [i13]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Towards the D-Optimal Online Experiment Design for Recommender Selection. CoRR abs/2110.12132 (2021) - [i12]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives. CoRR abs/2110.12141 (2021) - 2020
- [j6]Sushant Kumar, Bhabesh Deka, Sumit Datta:
Multichannel ECG Compression using Block-Sparsity-based Joint Compressive Sensing. Circuits Syst. Signal Process. 39(12): 6299-6315 (2020) - [j5]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 Gonzalez-Perez, 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:
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes. Nat. 578(7793): 102-111 (2020) - [j4]Rahul Gupta, Sushant Kumar, Sudhan Majhi:
Blind Modulation Classification for Asynchronous OFDM Systems Over Unknown Signal Parameters and Channel Statistics. IEEE Trans. Veh. Technol. 69(5): 5281-5292 (2020) - [j3]Sushant Kumar, Mahesh Shamrao Chaudhari, Rahul Gupta, Sudhan Majhi:
Multiple CFOs Estimation and Implementation of SC-FDMA Uplink System Using Oversampling and Iterative Method. IEEE Trans. Veh. Technol. 69(6): 6254-6263 (2020) - [c18]Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan:
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering. IEEE BigData 2020: 3156-3164 - [c17]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Inductive representation learning on temporal graphs. ICLR 2020 - [c16]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Adversarial Counterfactual Learning and Evaluation for Recommender System. NeurIPS 2020 - [c15]Soumya Wadhwa, Ashish Ranjan, Selene Xu, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Personalizing Item Recommendation via Price Understanding. ComplexRec-ImpactRS@RecSys 2020 - [c14]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Product Knowledge Graph Embedding for E-commerce. WSDM 2020: 672-680 - [c13]Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Knowledge-aware Complementary Product Representation Learning. WSDM 2020: 681-689 - [i11]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Inductive Representation Learning on Temporal Graphs. CoRR abs/2002.07962 (2020) - [i10]Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan:
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering. CoRR abs/2012.01577 (2020) - [i9]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Adversarial Counterfactual Learning and Evaluation for Recommender System. CoRR abs/2012.02295 (2020) - [i8]Behzad Shahrasbi, Venugopal Mani, Apoorv Reddy Arrabothu, Deepthi Sharma, Kannan Achan, Sushant Kumar:
On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs. CoRR abs/2012.02509 (2020)
2010 – 2019
- 2019
- [j2]Anbalagan Karthikeyan, Deshpande Gururaj Abhilash Krishna, Sushant Kumar, B. Venkatesa Perumal, Sukumar Mishra:
Dual Role CDSC-Based Dual Vector Control for Effective Operation of DVR With Harmonic Mitigation. IEEE Trans. Ind. Electron. 66(1): 4-13 (2019) - [c12]Luyi Ma, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries. IEEE BigData 2019: 4435-4443 - [c11]Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Generative Graph Convolutional Network for Growing Graphs. ICASSP 2019: 3167-3171 - [c10]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Self-attention with Functional Time Representation Learning. NeurIPS 2019: 15889-15899 - [c9]Sushant Kumar, Bhabesh Deka, Sumit Datta:
Block-Sparsity Based Compressed Sensing for Multichannel ECG Reconstruction. PReMI (2) 2019: 210-217 - [c8]Sushant Kumar, Bhabesh Deka, Sumit Datta:
Weighted Block Compressed Sensing for Multichannel Fetal ECG Reconstruction. TENCON 2019: 2324-2328 - [c7]Rahul Gupta, Sushant Kumar, Sudhan Majhi:
Blind Modulation Classification for OFDM in the Presence of Timing, Frequency, and Phase Offsets. VTC Fall 2019: 1-5 - [i7]Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Generative Graph Convolutional Network for Growing Graphs. CoRR abs/1903.02640 (2019) - [i6]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation. CoRR abs/1904.12574 (2019) - [i5]Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Product Knowledge Graph Embedding for E-commerce. CoRR abs/1911.12481 (2019) - [i4]Da Xu, Chuanwei Ruan, Sushant Kumar, Evren Körpeoglu, Kannan Achan:
Self-attention with Functional Time Representation Learning. CoRR abs/1911.12864 (2019) - 2018
- [j1]Sushant Kumar, Sudhan Majhi, Chau Yuen:
Multi-User CFOs Estimation for SC-FDMA System Over Frequency Selective Fading Channels. IEEE Access 6: 43146-43156 (2018) - [c6]Sushant Kumar, Ritesh Kumar Keshri, H. M. Suryawanshi:
Impact and Mitigation of Electric Vehicle Plug-in on the PV fed DC-bus Charging Station. IECON 2018: 2074-2079 - [i3]Abhimanyu Mitra, Kannan Achan, Sushant Kumar:
Robust Counterfactual Inferences using Feature Learning and their Applications. CoRR abs/1808.07569 (2018) - 2017
- [c5]Sushant Kumar, Vivek Ashok Bohara, Sumit Jagdish Darak:
Automatic modulation classification by exploiting cyclostationary features in wavelet domain. NCC 2017: 1-6 - 2016
- [c4]Sushant Kumar, Vivek Ashok Bohara, Sumit Jagdish Darak:
Blind symbol rate estimation by exploiting cyclostationary features in wavelet domain. ICACCI 2016: 1757-1763 - [c3]Sushant Kumar, S. S. Solanki:
Voice and touch control home automation. RAIT 2016: 495-498 - [c2]Sushant Kumar, Prabhat Ranjan, R. Rajesh:
Modified ACO to maintain diversity in regression test optimization. RAIT 2016: 619-625 - 2015
- [c1]Sourav Bhowmick, Sushant Kumar, Anurag Kumar:
Hand gesture recognition of English alphabets using artificial neural network. ReTIS 2015: 405-410
2000 – 2009
- 2009
- [i2]Sushant Kumar, Abhijeet Kumar:
IIT Kharagpur at TAC 2009: Statistical and Nugget-based Model for Automatic Summary Evaluation. TAC 2009 - 2008
- [i1]Sushant Kumar, Diptesh Chatterjee:
IIT Kharagpur at TAC 2008: Statistical Model for Opinion Summarization. TAC 2008
Coauthor Index
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