Shikhar Tuli

38 papers A* 2B 1C 2Journal 27Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
GraphMERT: Efficient and Scalable Distillation of Reliable Knowledge Graphs from Unstructured Data.
Trans. Mach. Learn. Res.
Margarita Belova, Jiaxin Xiao, Shikhar Tuli, Niraj K. Jha
2025 — conf
FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing.
NAACL (Long Papers)
James Seale Smith, Chi-Heng Lin, Shikhar Tuli, Haris Jeelani, Shangqian Gao, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2025 J jnl
FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing.
CoRR
James Seale Smith, Chi-Heng Lin, Shikhar Tuli, Haris Jeelani, Shangqian Gao, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2025 J jnl
GraphMERT: Efficient and Scalable Distillation of Reliable Knowledge Graphs from Unstructured Data.
CoRR
Margarita Belova, Jiaxin Xiao, Shikhar Tuli, Niraj K. Jha
2025 A* conf
MoDeGPT: Modular Decomposition for Large Language Model Compression.
ICLR
Chi-Heng Lin, Shangqian Gao, James Seale Smith, Abhishek Patel, Shikhar Tuli, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2025 — conf
MossNet: Mixture of State-Space Experts is a Multi-Head Attention.
IJCNLP-AACL (long papers)
Shikhar Tuli, James Seale Smith, Haris Jeelani, Chi-Heng Lin, Abhishek Patel, Vasili Ramanishka, Yen-Chang Hsu, Hongxia Jin
2025 J jnl
MossNet: Mixture of State-Space Experts is a Multi-Head Attention.
CoRR
Shikhar Tuli, James Seale Smith, Haris Jeelani, Chi-Heng Lin, Abhishek Patel, Vasili Ramanishka, Yen-Chang Hsu, Hongxia Jin
2024 — conf
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling.
NAACL-HLT
Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu, Niraj K. Jha, Yilin Shen, Hongxia Jin
2024 J jnl
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling.
CoRR
Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu, Niraj K. Jha, Yilin Shen, Hongxia Jin
2024 J jnl
EdgeTran: Device-Aware Co-Search of Transformers for Efficient Inference on Mobile Edge Platforms.
IEEE Trans. Mob. Comput.
Shikhar Tuli, Niraj K. Jha
2024 J jnl
MoDeGPT: Modular Decomposition for Large Language Model Compression.
CoRR
Chi-Heng Lin, Shangqian Gao, James Seale Smith, Abhishek Patel, Shikhar Tuli, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2024 — conf
SLiM: Speculative Decoding with Hypothesis Reduction.
NAACL-HLT (Findings)
Chi-Heng Lin, Shikhar Tuli, James Seale Smith, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
2023 J jnl
AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference With Transformers.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Shikhar Tuli, Niraj K. Jha
2023 J jnl
AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference with Transformers.
CoRR
Shikhar Tuli, Niraj K. Jha
2023 J jnl
BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration.
CoRR
Shikhar Tuli, Niraj K. Jha
2023 J jnl
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework.
ACM Trans. Embed. Comput. Syst.
Shikhar Tuli, Chia-Hao Li, Ritvik Sharma, Niraj K. Jha
2023 J jnl
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms.
CoRR
Shikhar Tuli, Niraj K. Jha
2023 J jnl
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?
J. Artif. Intell. Res.
Shikhar Tuli, Bhishma Dedhia, Shreshth Tuli, Niraj K. Jha
2023 J jnl
TransCODE: Co-Design of Transformers and Accelerators for Efficient Training and Inference.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Shikhar Tuli, Niraj K. Jha
2023 J jnl
TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference.
CoRR
Shikhar Tuli, Niraj K. Jha
2022 J jnl
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework.
CoRR
Shikhar Tuli, Chia-Hao Li, Ritvik Sharma, Niraj K. Jha
2022 J jnl
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?
CoRR
Shikhar Tuli, Bhishma Dedhia, Shreshth Tuli, Niraj K. Jha
2021 B conf
Are Convolutional Neural Networks or Transformers more like human vision?
CogSci
Shikhar Tuli, Ishita Dasgupta, Erin Grant, Tom Griffiths
2021 J jnl
Are Convolutional Neural Networks or Transformers more like human vision?
CoRR
Shikhar Tuli, Ishita Dasgupta, Erin Grant, Thomas L. Griffiths
2021 J jnl
Generative Optimization Networks for Memory Efficient Data Generation.
CoRR
Shreshth Tuli, Shikhar Tuli, Giuliano Casale, Nicholas R. Jennings
2020 C conf
AVAC: A Machine Learning Based Adaptive RRAM Variability-Aware Controller for Edge Devices.
ISCAS
Shikhar Tuli, Shreshth Tuli
2020 J jnl
AVAC: A Machine Learning based Adaptive RRAM Variability-Aware Controller for Edge Devices.
CoRR
Shikhar Tuli, Shreshth Tuli
2020 — conf
Design of a Conventional-Transistor-Based Analog Integrated Circuit for On-Chip Learning in a Spiking Neural Network.
ICONS
Shikhar Tuli, Debanjan Bhowmik
2020 J jnl
Next generation technologies for smart healthcare: challenges, vision, model, trends and future directions.
Internet Technol. Lett.
Shreshth Tuli, Shikhar Tuli, Gurleen Wander, Praneet Wander, Sukhpal Singh Gill, Schahram Dustdar, Rizos Sakellariou, Omer F. Rana
2020 J jnl
Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing.
Internet Things
Shreshth Tuli, Shikhar Tuli, Rakesh Tuli, Sukhpal Singh Gill
2020 — conf
RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures.
ASP-DAC
Shikhar Tuli, Marco Rios, Alexandre Levisse, David Atienza
2019 C conf
APEX: Adaptive Ext4 File System for Enhanced Data Recoverability in Edge Devices.
CloudCom
Shreshth Tuli, Shikhar Tuli, Udit Jain, Rajkumar Buyya
2019 J jnl
APEX: Adaptive Ext4 File System for Enhanced Data Recoverability in Edge Devices.
CoRR
Shreshth Tuli, Shikhar Tuli, Udit Jain, Rajkumar Buyya
2019 A* conf
DHOOM: Reusing Design-for-Debug Hardware for Online Monitoring.
DAC
Neetu Jindal, Sandeep Chandran, Preeti Ranjan Panda, Sanjiva Prasad, Abhay Mitra, Kunal Singhal, Shubham Gupta, Shikhar Tuli
2019 J jnl
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing.
J. Syst. Softw.
Shreshth Tuli, Md. Redowan Mahmud, Shikhar Tuli, Rajkumar Buyya
2019 J jnl
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges.
CoRR
Sukhpal Singh Gill, Shreshth Tuli, Minxian Xu, Inderpreet Singh, Karan Vijay Singh, Dominic Lindsay, Shikhar Tuli, Daria Smirnova, Manmeet Singh, Udit Jain, Haris Pervaiz, Bhanu Sehgal, Sukhwinder Singh Kaila, Sanjay Misra, Mohammad Sadegh Aslanpour, Harshit Mehta, Vlado Stankovski, Peter Garraghan
2019 J jnl
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges.
Internet Things
Sukhpal Singh Gill, Shreshth Tuli, Minxian Xu, Inderpreet Singh, Karan Vijay Singh, Dominic Lindsay, Shikhar Tuli, Daria Smirnova, Manmeet Singh, Udit Jain, Haris Pervaiz, Bhanu Sehgal, Sukhwinder Singh Kaila, Sanjay Misra, Mohammad Sadegh Aslanpour, Harshit Mehta, Vlado Stankovski, Peter Garraghan
2018 J jnl
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing.
CoRR
Shreshth Tuli, Md. Redowan Mahmud, Shikhar Tuli, Rajkumar Buyya