A Novel MMSE Based Predictive Method for Narrow Band Interference Removal. - Neeraj Varshney; Roop C. Jain (NBiS, 2013)

Capacity Analysis for Path Selection Based DF MIMO-OSTBC Cooperative Wireless Systems. - Neeraj Varshney; Amalladinne Vamsi Krishna; Aditya K. Jagannatham (IEEE Commun. Lett., 2014)

Selective DF Protocol for MIMO STBC Based Single/Multiple Relay Cooperative Communication: End-to-End Performance and Optimal Power Allocation. - Neeraj Varshney; Amalladinne Vamsi Krishna; Aditya K. Jagannatham (IEEE Trans. Commun., 2015)

Outage analysis for path selection based MIMO-beamforming cooperative wireless systems with node mobility and imperfect CSI. - Neeraj Varshney; Aditya K. Jagannatham (SPCOM, 2016)

Optimal power allocation for decode-and-forward based mixed MIMO-RF/FSO cooperative systems. - Neeraj Varshney; Parul Puri (SPCOM, 2016)

Cooperative communication in spatially modulated MIMO systems. - Neeraj Varshney; Amish Goel; Aditya K. Jagannatham (WCNC, 2016)

Capacity analysis for MIMO beamforming based cooperative systems over time-selective links with full SNR/one-bit feedback based path selection and imperfect CSI. - Neeraj Varshney; Aditya K. Jagannatham (WCNC, 2016)

A Unified Framework for the Analysis of Path Selection Based DF Cooperation in Wireless Systems. - Neeraj Varshney; Aditya K. Jagannatham (WCNC, 2017)

Design and Performance Analysis of Dual and Multi-hop Diffusive Molecular Communication Systems. - Neeraj Varshney; Adarsh Patel; Aditya K. Jagannatham; Pramod K. Varshney (CoRR, 2017)

Diffusive Molecular Communication with Nanomachine Mobility. - Neeraj Varshney; Aditya K. Jagannatham; Pramod K. Varshney (CoRR, 2017)

Diffusion Based Cooperative Molecular Communication in Nano-Networks. - Neeraj Varshney; Adarsh Patel; Aditya K. Jagannatham (CoRR, 2017)

Cognitive Decode-and-Forward MIMO-RF/FSO Cooperative Relay Networks. - Neeraj Varshney; Aditya K. Jagannatham (IEEE Commun. Lett., 2017)

MIMO-STBC Based Multiple Relay Cooperative Communication Over Time-Selective Rayleigh Fading Links With Imperfect Channel Estimates. - Neeraj Varshney; Aditya K. Jagannatham (IEEE Trans. Veh. Technol., 2017)

Impact of Cooperation in Flow-Induced Diffusive Mobile Molecular Communication. - Neeraj Varshney; Adarsh Patel; Werner Haselmayr; Aditya K. Jagannatham; Pramod K. Varshney; Weisi Guo (ACSSC, 2018)

On diffusive molecular communication with mobile nanomachines. - Neeraj Varshney; Aditya K. Jagannatham; Pramod K. Varshney (CISS, 2018)

Opportunistic Scheduling in Underlay Cognitive Radio Based Systems: User Selection Probability Analysis. - Neeraj Varshney; Prabhat Kumar Sharma; Mohamed-Slim Alouini (GlobalSIP, 2018)

Asymptotic SER Analysis and Optimal Power Sharing for Dual-Phase and Multi-Phase Multiple-Relay Cooperative Systems. - Neeraj Varshney; Aditya K. Jagannatham; Lajos Hanzo (IEEE Access, 2018)

Opportunistic Scheduling in Underlay Cognitive Radio based MIMO-RF/FSO Networks. - Neeraj Varshney; Prabhat Kumar Sharma; Mohamed-Slim Alouini (CoRR, 2018)

Cognitive MIMO-RF/FSO Cooperative Relay Communication With Mobile Nodes and Imperfect Channel State Information. - Neeraj Varshney; Aditya K. Jagannatham; Pramod K. Varshney (IEEE Trans. Cogn. Commun. Netw., 2018)

An Improved Energy Detector for Mobile Cognitive Users Over Generalized Fading Channels. - Lokesh Gahane; Prabhat Kumar Sharma; Neeraj Varshney; Theodoros A. Tsiftsis; Preetam Kumar (IEEE Trans. Commun., 2018)

On Flow-Induced Diffusive Mobile Molecular Communication: First Hitting Time and Performance Analysis. - Neeraj Varshney; Werner Haselmayr; Weisi Guo (IEEE Trans. Mol. Biol. Multi Scale Commun., 2018)

Abnormality Detection Inside Blood Vessels With Mobile Nanomachines. - Neeraj Varshney; Adarsh Patel; Yansha Deng; Werner Haselmayr; Pramod K. Varshney; Arumugam Nallanathan (IEEE Trans. Mol. Biol. Multi Scale Commun., 2018)

On Hybrid MoSK-CSK Modulation based Molecular Communication: Error Rate Performance Analysis using Stochastic Geometry. - Nithin V. Sabu; Neeraj Varshney; Abhishek K. Gupta (WiOpt, 2019)

On the Impact of Transposition Errors in Diffusion-Based Channels. - Werner Haselmayr; Neeraj Varshney; A. Taufiq Asyhari; Andreas Springer; Weisi Guo (IEEE Trans. Commun., 2019)

Impact of Intermediate Nanomachines in Multiple Cooperative Nanomachine-Assisted Diffusion Advection Mobile Molecular Communication. - Neeraj Varshney; Adarsh Patel; Werner Haselmayr; Aditya K. Jagannatham; Pramod K. Varshney; Arumugam Nallanathan (IEEE Trans. Commun., 2019)

Simplified Ray Tracing for the Millimeter Wave Channel: A Performance Evaluation. - Mattia Lecci; Paolo Testolina; Marco Giordani; Michele Polese; Tanguy Ropitault; Camillo Gentile; Neeraj Varshney; Anuraag Bodi; Michele Zorzi (ITA, 2020)

Performance Analysis of Novel Direct Access Schemes for LEO Satellites Based IoT Network. - Ayush Kumar Dwivedi; Sai Praneeth Chokkarapu; Sachin Chaudhari; Neeraj Varshney (PIMRC, 2020)

Link-Level Abstraction of IEEE 802.11ay based on Quasi-Deterministic Channel Model from Measurements. - Neeraj Varshney; Jiayi Zhang 002; Jian Wang 098; Anuraag Bodi; Nada Golmie (VTC Fall, 2020)

Towards Question Format Independent Numerical Reasoning: A Set of Prerequisite Tasks. - Swaroop Mishra; Arindam Mitra; Neeraj Varshney; Bhavdeep Singh Sachdeva; Chitta Baral (CoRR, 2020)

It's better to say "I can't answer" than answering incorrectly: Towards Safety critical NLP systems. - Neeraj Varshney; Swaroop Mishra; Chitta Baral (CoRR, 2020)

Can Transformers Reason About Effects of Actions? - Pratyay Banerjee; Chitta Baral; Man Luo 003; Arindam Mitra; Kuntal Kumar Pal; Tran Cao Son; Neeraj Varshney (CoRR, 2020)

Impacts of Unintended Nanomachine in Diffusion-Based Molecular Communication System. - Lokendra Chouhan; Prabhat Kumar Sharma; Prabhat Kumar Upadhyay; Parul Garg; Neeraj Varshney (IEEE Trans. Mol. Biol. Multi Scale Commun., 2020)

3-D Diffusive Molecular Communication With Two Fully-Absorbing Receivers: Hitting Probability and Performance Analysis. - Nithin V. Sabu; Neeraj Varshney; Abhishek K. Gupta (IEEE Trans. Mol. Biol. Multi Scale Commun., 2020)

Scaled Conjugate Gradient Algorithm for Neural Network Detector in Mobile Molecular Communication. - Amit K. Shrivastava; Debanjan Das; Rajarshi Mahapatra; Neeraj Varshney (GLOBECOM, 2021)

Deep Learning Based Link-Level Abstraction for mmWave Communications. - Jian Wang 098; Neeraj Varshney; Jiayi Zhang 002; David W. Griffith; Nada Golmie (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

Beamformed Energy Detection in the Presence of an Interferer for Cognitive mmWave Network. - M. Madhuri Latha; Sai Krishna Charan Dara; Sachin Chaudhari; Neeraj Varshney (VTC Fall, 2021)

Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems. - Neeraj Varshney; Swaroop Mishra; Chitta Baral (CoRR, 2021)

On the Performance of the Primary and Secondary Links in a 3-D Underlay Cognitive Molecular Communication. - Nithin V. Sabu; Neeraj Varshney; Abhishek K. Gupta (IEEE Trans. Commun., 2021)

INGR Satellite Roadmap - 2022 Edition. - Sastri Kota; Giovanni Giambene; Mohammed Y. Abdelsadek; Mohamed-Slim Alouini; Sarath Babu 001; Joan Bas; Sachin Chaudhari; Debabrata Dalai; Tasneem Darwish; Tomaso de Cola; Thomas Delamotte; Ashutosh Dutta; et al. (FNWF, 2022)

NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. - Swaroop Mishra; Arindam Mitra; Neeraj Varshney; Bhavdeep Singh Sachdeva; Peter Clark; Chitta Baral; Ashwin Kalyan (ACL (1), 2022)

Unsupervised Natural Language Inference Using PHL Triplet Generation. - Neeraj Varshney; Pratyay Banerjee; Tejas Gokhale; Chitta Baral (ACL (Findings), 2022)

ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. - Neeraj Varshney; Swaroop Mishra; Chitta Baral (ACL (1), 2022)

Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. - Neeraj Varshney; Swaroop Mishra; Chitta Baral (ACL (Findings), 2022)

Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems. - Neeraj Varshney; Chitta Baral (EMNLP, 2022)

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. - Yizhong Wang; Swaroop Mishra; Pegah Alipoormolabashi; Yeganeh Kordi; Amirreza Mirzaei; Atharva Naik; Arjun Ashok; Arut Selvan Dhanasekaran; Anjana Arunkumar; David Stap; Eshaan Pathak; Giannis Karamanolakis; et al. (EMNLP, 2022)

Impact of Multiple Fully-Absorbing Receivers in Molecular Communications. - Nithin V. Sabu; Abhishek K. Gupta; Neeraj Varshney; Anshuman Jindal (ICC Workshops, 2022)

Towards Improving Selective Prediction Ability of NLP Systems. - Neeraj Varshney; Swaroop Mishra; Chitta Baral (RepL4NLP@ACL, 2022)

Multi-User MIMO Enabled Virtual Reality in IEEE 802.11ay WLAN. - Jiayi Zhang 002; Steve Blandino; Neeraj Varshney; Jian Wang 098; Camillo Gentile; Nada Golmie (WCNC, 2022)

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. - Yizhong Wang; Swaroop Mishra; Pegah Alipoormolabashi; Yeganeh Kordi; Amirreza Mirzaei; Anjana Arunkumar; Arjun Ashok; Arut Selvan Dhanasekaran; Atharva Naik; David Stap; Eshaan Pathak; Giannis Karamanolakis; et al. (CoRR, 2022)

Let the Model Decide its Curriculum for Multitask Learning. - Neeraj Varshney; Swaroop Mishra; Chitta Baral (CoRR, 2022)

Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans? - Neeraj Varshney; Man Luo 003; Chitta Baral (CoRR, 2022)

Integrated Sensing and Communication: Enabling Techniques, Applications, Tools and Data Sets, Standardization, and Future Directions. - Jian Wang 098; Neeraj Varshney; Camillo Gentile; Steve Blandino; Jack Chuang; Nada Golmie (IEEE Internet Things J., 2022)

Deep convolutional neural model for human activities recognition in a sequence of video by combining multiple CNN streams. - Neeraj Varshney; Brijesh Bakariya (Multim. Tools Appl., 2022)

Human activity recognition using deep transfer learning of cross position sensor based on vertical distribution of data. - Neeraj Varshney; Brijesh Bakariya; Alok Kumar Singh Kushwaha (Multim. Tools Appl., 2022)

Human activity recognition by combining external features with accelerometer sensor data using deep learning network model. - Neeraj Varshney; Brijesh Bakariya; Alok Kumar Singh Kushwaha; Manish Khare (Multim. Tools Appl., 2022)

Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA. - Neeraj Varshney; Chitta Baral (ACL (1), 2023)

A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. - Neeraj Varshney; Himanshu Gupta; Eric Robertson 001; Bing Liu 001; Chitta Baral (ACL (Findings), 2023)

Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. - Tung Thai; Mudit Verma; Utkarsh Soni; Sriram Gopalakrishnan; Ming Shen; Mayank Garg; Ayush Kalani; Nakul Vaidya; Neeraj Varshney; Chitta Baral; Subbarao Kambhampati; Jivko Sinapov; et al. (AAMAS, 2023)

"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility. - Himanshu Gupta; Neeraj Varshney; Swaroop Mishra; Kuntal Kumar Pal; Saurabh Arjun Sawant; Kevin Scaria; Siddharth Goyal; Chitta Baral (EACL, 2023)

LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference. - Mutsumi Nakamura; Santosh Mashetty; Mihir Parmar; Neeraj Varshney; Chitta Baral (EMNLP (Findings), 2023)

Examining Effectiveness of Cloudlets in Mobile Computing. - Neeraj Varshney; Sumit Pundir; A. L. N. Rao; C. Praveen Kumar; Akhil; Puneet Kumar (IC3I, 2023)

A PLS-SEM Based Approach: Analyzing Generation Z Purchase Intention Through Facebook's Big Data. - Vikas Kumar; Preeti; Shaiku Shahida Saheb; Sunil Kumari; Kanishka Pathak; Jai Kishan Chandel; Neeraj Varshney; Ankit Kumar (Big Data Min. Anal., 2023)

Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data. - Ankit Kumar; Neeraj Varshney; Surbhi Bhatiya; Kamred Udham Singh (Big Data Min. Anal., 2023)

Diagnosis and Detection of Alzheimer's Disease Using Learning Algorithm. - Gargi Pant Shukla; Santosh Kumar; Saroj Kumar Pandey; Rohit Agarwal; Neeraj Varshney; Ankit Kumar (Big Data Min. Anal., 2023)

Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions? - Neeraj Varshney; Mihir Parmar; Nisarg Patel; Divij Handa; Sayantan Sarkar; Man Luo 003; Chitta Baral (CoRR, 2023)

A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation. - Neeraj Varshney; Wenlin Yao; Hongming Zhang 009; Jianshu Chen; Dong Yu 001 (CoRR, 2023)

Can NLP Models 'Identify', 'Distinguish', and 'Justify' Questions that Don't have a Definitive Answer? - Ayushi Agarwal; Nisarg Patel; Neeraj Varshney; Mihir Parmar; Pavan Mallina; Aryan Bhavin Shah; Srihari Raju Sangaraju; Tirth Patel; Nihar Thakkar; Chitta Baral (CoRR, 2023)

Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models. - Man Luo 003; Shrinidhi Kumbhar; Ming Shen; Mihir Parmar; Neeraj Varshney; Pratyay Banerjee; Somak Aditya; Chitta Baral (CoRR, 2023)

Accelerating LLM Inference by Enabling Intermediate Layer Decoding. - Neeraj Varshney; Agneet Chatterjee; Mihir Parmar; Chitta Baral (CoRR, 2023)

Adaptive Channel-State-Information Feedback in Integrated Sensing and Communication Systems. - Neeraj Varshney; Samuel Berweger; Jack Chuang; Steve Blandino; Jian Wang 098; Neha Pazare; Camillo Gentile; Nada Golmie (IEEE Internet Things J., 2023)

Channel Characterization and Performance of a 3-D Molecular Communication System With Multiple Fully-Absorbing Receivers. - Nithin V. Sabu; Abhishek K. Gupta; Neeraj Varshney; Anshuman Jindal (IEEE Trans. Commun., 2023)

A hybrid approach for medical images classification and segmentation to reduce complexity. - Ankit Kumar; Surbhi Bhatia; Rajat Bhardwaj; Kamred Udham Singh; Neeraj Varshney; Linesh Raja (Innov. Syst. Softw. Eng., 2023)

Influence of Spatial Dispersal among Species in a Prey-Predator Model with Miniature Predator Groups. - Shivam; Turki Aljrees; Teekam Singh; Neeraj Varshney; Mukesh Kumar; Kamred Udham Singh; Vrince Vimal (Symmetry, 2023)

Hybrid Transceiver Design for Tera-Hertz MIMO Systems Relying on Bayesian Learning Aided Sparse Channel Estimation. - Suraj Srivastava; Ajeet Tripathi; Neeraj Varshney; Aditya K. Jagannatham; Lajos Hanzo (IEEE Trans. Wirel. Commun., 2023)

LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. - Mihir Parmar; Nisarg Patel; Neeraj Varshney; Mutsumi Nakamura; Man Luo 003; Santosh Mashetty; Arindam Mitra; Chitta Baral (ACL (1), 2024)

Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies. - Aswin RRV; Nemika Tyagi; Md Nayem Uddin; Neeraj Varshney; Chitta Baral (ACL (Findings), 2024)

The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness. - Neeraj Varshney; Pavel Dolin; Agastya Seth; Chitta Baral (ACL (Findings), 2024)

Dynamic User Clustering for mmWave-Based NOMA Networks. - Sudhakar Rai; Ekant Sharma; Neeraj Varshney; Aditya K. Jagannatham (APCC, 2024)

Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models. - Nisarg Patel; Mohith Kulkarni; Mihir Parmar; Aashna Budhiraja; Mutsumi Nakamura; Neeraj Varshney; Chitta Baral (EMNLP, 2024)

Deployment Schemes of In-Band Management Mode Based on Industrial SDN Network. - Mudit Mittal; Hassan M. Al-Jawahry; Neeraj Varshney; Sunil Prashanth Kumar; Jacob Michaelson; R. Akhilesh Reddy (IC3I, 2024)

Improving Support Vector Machine Performance with Advanced Kernel Methods. - Mudit Mittal; Hassan M. Al-Jawahry; Neeraj Varshney; Sunil Prashanth Kumar; Jacob Michaelson; R. Akhilesh Reddy (IC3I, 2024)

Support Vector Machines for Soil Quality Assessment in Sustainable Farming. - Ankita Nainwal; Haider Alabdeli; Neeraj Varshney; A Deepak; N. V. Uma Reddy; K. Jyothsna Reddy (IC3I, 2024)

Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with 'LITE'. - Neeraj Varshney; Agneet Chatterjee; Mihir Parmar; Chitta Baral (NAACL-HLT (Findings), 2024)

Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. - Mihir Parmar; Nisarg Patel; Neeraj Varshney; Mutsumi Nakamura; Man Luo 003; Santosh Mashetty; Arindam Mitra; Chitta Baral (CoRR, 2024)

Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation. - Neeraj Varshney; Satyam Raj; Venkatesh Mishra; Agneet Chatterjee; Ritika Sarkar; Amir Saeidi; Chitta Baral (CoRR, 2024)

mBCCf: Multilevel Breast Cancer Classification Framework Using Radiomic Features. - Lipismita Panigrahi; Tej Bahadur Chandra; Atul Kumar Srivastava; Neeraj Varshney; Kamred Udham Singh; Shambhu Mahato (Int. J. Intell. Syst., 2024)

Performance Analysis of LEO Satellite-Based IoT Networks in the Presence of Interference. - Ayush Kumar Dwivedi; Sachin Chaudhari; Neeraj Varshney; Pramod K. Varshney (IEEE Internet Things J., 2024)

A comparative study of automated undergraduate engineering admission prediction in an Indian university using machine learning. - Meenakshi Gupta; Alpana; Prinima Gupta; Neeraj Varshney (J. Comput. Soc. Sci., 2025)