Akshay Jajoo

21 papers A* 1A 1B 1Misc 2Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cornserve: A Distributed Serving System for Any-to-Any Multimodal Models.
CoRR
Jae-Won Chung, Jeff J. Ma, Jisang Ahn, Yizhuo Liang, Akshay Jajoo, Myungjin Lee, Mosharaf Chowdhury
2025 J jnl
Cornserve: Efficiently Serving Any-to-Any Multimodal Models.
CoRR
Jeff J. Ma, Jae-Won Chung, Jisang Ahn, Yizhuo Liang, Akshay Jajoo, Myungjin Lee, Mosharaf Chowdhury
2025 J jnl
OPCM: Opportunistic Performance-driven Connectivity Management for 5G/xG Networks.
Proc. ACM Netw.
Ahmad Hassan, Wei Ye, Anlan Zhang, Rostand A. K. Fezeu, Jason Carpenter, Ruiyang Zhu, Shuowei Jin, Myungjin Lee, Akshay Jajoo, Z. Morley Mao, Zhi-Li Zhang, Feng Qian
2025 — conf
StitchLLM: Serving LLMs, One Block at a Time.
ACL (1)
Bodun Hu, Shuozhe Li, Saurabh Agarwal, Myungjin Lee, Akshay Jajoo, Jiamin Li, Le Xu, Geon-Woo Kim, Donghyun Kim, Hong Xu, Amy Zhang, Aditya Akella
2024 — conf
A Two-phase Protocol for Atomic Multi-chain Transactions.
DIN@CoNEXT
Huaixi Lu, Akshay Jajoo, Kedar S. Namjoshi
2024 J jnl
Atomicity and Abstraction for Cross-Blockchain Interactions.
CoRR
Huaixi Lu, Akshay Jajoo, Kedar S. Namjoshi
2024 A* conf
Dissecting Carrier Aggregation in 5G Networks: Measurement, QoE Implications and Prediction.
SIGCOMM
Wei Ye, Xinyue Hu, Steven Sleder, Anlan Zhang, Udhaya Kumar Dayalan, Ahmad Hassan, Rostand A. K. Fezeu, Akshay Jajoo, Myungjin Lee, Eman Ramadan, Feng Qian, Zhi-Li Zhang
2024 J jnl
Enabling Elastic Model Serving with MultiWorld.
CoRR
Myungjin Lee, Akshay Jajoo, Ramana Rao Kompella
2024 — conf
Large Language Models to Enhance Malware Detection in Edge Computing.
TPS-ISA
Christian Rondanini, Barbara Carminati, Elena Ferrari, Ashish Kundu, Akshay Jajoo
2023 J jnl
SLearn: A Case for Task Sampling Based Learning for Cluster Job Scheduling.
IEEE Trans. Cloud Comput.
Akshay Jajoo, Y. Charlie Hu, Xiaojun Lin, Nan Deng
2022 J jnl
A Case for Sampling-Based Learning Techniques in Coflow Scheduling.
IEEE/ACM Trans. Netw.
Akshay Jajoo, Y. Charlie Hu, Xiaojun Lin
2022 Misc conf
A Case for Task Sampling based Learning for Cluster Job Scheduling.
NSDI
Akshay Jajoo, Y. Charlie Hu, Xiaojun Lin, Nan Deng
2022 B conf
Deep Learning-based Channel State Information Prediction with Incomplete History.
WCNC
Ezgi Tekgul, Jie Chen, Jun Tan, Frederick W. Vook, Serdar Özen, Akshay Jajoo
2021 J jnl
A Case for Sampling Based Learning Techniques in Coflow Scheduling.
CoRR
Akshay Jajoo, Y. Charlie Hu, Xiaojun Lin
2021 J jnl
A study on the Morris Worm.
CoRR
Akshay Jajoo
2021 J jnl
Saath: Speeding up CoFlows by Exploiting the Spatial Dimension.
CoRR
Akshay Jajoo, Rohan Gandhi, Y. Charlie Hu, Cheng-Kok Koh
2021 J jnl
The Case for Task Sampling based Learning for Cluster Job Scheduling.
CoRR
Akshay Jajoo, Y. Charlie Hu, Xiaojun Lin, Nan Deng
2019 — conf
Your Coflow has Many Flows: Sampling them for Fun and Speed.
USENIX ATC
Akshay Jajoo, Y. Charlie Hu, Xiaojun Lin
2017 A conf
Saath: Speeding up CoFlows by Exploiting the Spatial Dimension.
CoNEXT
Akshay Jajoo, Rohan Gandhi, Y. Charlie Hu, Cheng-Kok Koh
2016 — conf
Graviton: Twisting Space and Time to Speed-up CoFlows.
HotCloud
Akshay Jajoo, Rohan Gandhi, Y. Charlie Hu
1998 Misc conf
Synthesis of Testable RTL Designs.
VLSI Design
C. P. Ravikumar, Sumit Gupta, Akshay Jajoo