Lingjia Tang

80 papers A* 32A 4B 5Misc 1Journal 29Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
GraphMend: Code Transformations for Fixing Graph Breaks in PyTorch 2.
CoRR
Savini Kashmira, Jayanaka L. Dantanarayana, Thamirawaran Sathiyalogeswaran, Yichao Yuan, Nishil Talati, Krisztián Flautner, Lingjia Tang, Jason Mars
2025 J jnl
GraphRunner: A Multi-Stage Framework for Efficient and Accurate Graph-Based Retrieval.
CoRR
Savini Kashmira, Jayanaka L. Dantanarayana, Krisztián Flautner, Lingjia Tang, Jason Mars
2025 J jnl
MTP: A Meaning-Typed Language Abstraction for AI-Integrated Programming.
Proc. ACM Program. Lang.
Jayanaka L. Dantanarayana, Yiping Kang, Kugesan Sivasothynathan, Christopher Clarke, Baichuan Li, Savini Kashmira, Krisztián Flautner, Lingjia Tang, Jason Mars
2025 J jnl
Prompt Less, Smile More: MTP with Semantic Engineering in Lieu of Prompt Engineering.
CoRR
Jayanaka L. Dantanarayana, Savini Kashmira, Thakee Nathees, Zichen Zhang, Krisztián Flautner, Lingjia Tang, Jason Mars
2025 — conf
Ranking Unraveled: Recipes for LLM Rankings in Head-to-Head AI Combat.
ACL (1)
Roland Daynauth, Christopher Clarke, Krisztián Flautner, Lingjia Tang, Jason Mars
2025 J jnl
SLMEval: Entropy-Based Calibration for Human-Aligned Evaluation of Large Language Models.
CoRR
Roland Daynauth, Christopher Clarke, Krisztián Flautner, Lingjia Tang, Jason Mars
2025 — conf
TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG.
EMNLP (Industry Track)
Savini Kashmira, Jayanaka L. Dantanarayana, Joshua Brodsky, Ashish Mahendra, Yiping Kang, Krisztián Flautner, Lingjia Tang, Jason Mars
2024 J jnl
A Graph-Based Approach for Conversational AI-Driven Personal Memory Capture and Retrieval in a Real-world Application.
CoRR
Savini Kashmira, Jayanaka L. Dantanarayana, Joshua Brodsky, Ashish Mahendra, Yiping Kang, Krisztián Flautner, Lingjia Tang, Jason Mars
2024 J jnl
LLMs are Meaning-Typed Code Constructs.
CoRR
Jason Mars, Yiping Kang, Jayanaka L. Dantanarayana, Chandra Irugalbandara, Kugesan Sivasothynathan, Lingjia Tang
2024 J jnl
One Agent Too Many: User Perspectives on Approaches to Multi-agent Conversational AI.
CoRR
Christopher Clarke, Karthik Krishnamurthy, Walter Talamonti, Yiping Kang, Lingjia Tang, Jason Mars
2024 J jnl
PEFT-U: Parameter-Efficient Fine-Tuning for User Personalization.
CoRR
Christopher Clarke, Yuzhao Heng, Lingjia Tang, Jason Mars
2024 J jnl
Ranking Unraveled: Recipes for LLM Rankings in Head-to-Head AI Combat.
CoRR
Roland Daynauth, Christopher Clarke, Krisztián Flautner, Lingjia Tang, Jason Mars
2024 B conf
Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production.
ISPASS
Chandra Irugalbandara, Ashish Mahendra, Roland Daynauth, Tharuka Kasthuri Arachchige, Jayanaka L. Dantanarayana, Krisztián Flautner, Lingjia Tang, Yiping Kang, Jason Mars
2023 — conf
Label Agnostic Pre-training for Zero-shot Text Classification.
ACL (Findings)
Christopher Clarke, Yuzhao Heng, Yiping Kang, Krisztián Flautner, Lingjia Tang, Jason Mars
2023 J jnl
Label Agnostic Pre-training for Zero-shot Text Classification.
CoRR
Christopher Clarke, Yuzhao Heng, Yiping Kang, Krisztián Flautner, Lingjia Tang, Jason Mars
2023 J jnl
Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's GPT-4 with Self-Hosted Open Source SLMs in Production.
CoRR
Chandra Irugalbandara, Ashish Mahendra, Roland Daynauth, Tharuka Kasthuri Arachchige, Krisztián Flautner, Lingjia Tang, Yiping Kang, Jason Mars
2023 J jnl
The Jaseci Programming Paradigm and Runtime Stack: Building Scale-Out Production Applications Easy and Fast.
IEEE Comput. Archit. Lett.
Jason Mars, Yiping Kang, Roland Daynauth, Baichuan Li, Ashish Mahendra, Krisztián Flautner, Lingjia Tang
2023 J jnl
The Jaseci Programming Paradigm and Runtime Stack: Building Scale-out Production Applications Easy and Fast.
CoRR
Jason Mars, Yiping Kang, Roland Daynauth, Baichuan Li, Ashish Mahendra, Krisztián Flautner, Lingjia Tang
2022 A* ed.
ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18 - 22, 2022
ISCA
Valentina Salapura, Mohamed Zahran, Fred Chong, Lingjia Tang
2022 — conf
One Agent To Rule Them All: Towards Multi-agent Conversational AI.
ACL (Findings)
Christopher Clarke, Joseph Peper, Karthik Krishnamurthy, Walter Talamonti, Kevin Leach, Walter S. Lasecki, Yiping Kang, Lingjia Tang, Jason Mars
2022 J jnl
One Agent To Rule Them All: Towards Multi-agent Conversational AI.
CoRR
Christopher Clarke, Joseph Joshua Peper, Karthik Krishnamurthy, Walter Talamonti, Kevin Leach, Walter S. Lasecki, Yiping Kang, Lingjia Tang, Jason Mars
2022 J jnl
Towards Personalized Intelligence at Scale.
CoRR
Yiping Kang, Ashish Mahendra, Christopher Clarke, Lingjia Tang, Jason Mars
2020 A* conf
A Benchmarking Framework for Interactive 3D Applications in the Cloud.
MICRO
Tianyi Liu, Sen He, Sunzhou Huang, Danny H. K. Tsang, Lingjia Tang, Jason Mars, Wei Wang
2020 J jnl
A Benchmarking Framework for Interactive 3D Applications in the Cloud.
CoRR
Tianyi Liu, Sen He, Sunzhou Huang, Danny H. K. Tsang, Lingjia Tang, Jason Mars, Wei Wang
2019 — conf
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction.
EMNLP/IJCNLP (1)
Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars
2019 J jnl
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction.
CoRR
Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars
2019 J jnl
Caliper: Interference Estimator for Multi-tenant Environments Sharing Architectural Resources.
ACM Trans. Archit. Code Optim.
Ram Srivatsa Kannan, Michael Laurenzano, Jeongseob Ahn, Jason Mars, Lingjia Tang
2019 A conf
GrandSLAm: Guaranteeing SLAs for Jobs in Microservices Execution Frameworks.
EuroSys
Ram Srivatsa Kannan, Lavanya Subramanian, Ashwin Raju, Jeongseob Ahn, Jason Mars, Lingjia Tang
2019 — conf
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems.
NAACL-HLT (1)
Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars
2019 J jnl
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems.
CoRR
Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars
2019 A* conf
Understanding the Impact of Socket Density in Density Optimized Servers.
HPCA
Manish Arora, Matt Skach, Wei Huang, Xudong An, Jason Mars, Lingjia Tang, Dean M. Tullsen
2018 A* conf
Adasa: A Conversational In-Vehicle Digital Assistant for Advanced Driver Assistance Features.
UIST
Shih-Chieh Lin, Chang-Hong Hsu, Walter Talamonti, Yunqi Zhang, Steve Oney, Jason Mars, Lingjia Tang
2018 B conf
Architectural support for convolutional neural networks on modern CPUs.
PACT
Animesh Jain, Michael A. Laurenzano, Gilles A. Pokam, Jason Mars, Lingjia Tang
2018 — conf
Data Collection for Dialogue System: A Startup Perspective.
NAACL-HLT (3)
Yiping Kang, Yunqi Zhang, Jonathan K. Kummerfeld, Lingjia Tang, Jason Mars
2018 A* conf
Gist: Efficient Data Encoding for Deep Neural Network Training.
ISCA
Animesh Jain, Amar Phanishayee, Jason Mars, Lingjia Tang, Gennady Pekhimenko
2018 B conf
Proctor: Detecting and Investigating Interference in Shared Datacenters.
ISPASS
Ram Srivatsa Kannan, Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars
2018 J jnl
Rethinking Numerical Representations for Deep Neural Networks.
CoRR
Parker Hill, Babak Zamirai, Shengshuo Lu, Yu-Wei Chao, Michael Laurenzano, Mehrzad Samadi, Marios C. Papaefthymiou, Scott A. Mahlke, Thomas F. Wenisch, Jia Deng, Lingjia Tang, Jason Mars
2018 A* conf
SmoothOperator: Reducing Power Fragmentation and Improving Power Utilization in Large-scale Datacenters.
ASPLOS
Chang-Hong Hsu, Qingyuan Deng, Jason Mars, Lingjia Tang
2018 A* conf
The Architectural Implications of Autonomous Driving: Constraints and Acceleration.
ASPLOS
Shih-Chieh Lin, Yunqi Zhang, Chang-Hong Hsu, Matt Skach, Md. Enamul Haque, Lingjia Tang, Jason Mars
2018 A* conf
Virtual Melting Temperature: Managing Server Load to Minimize Cooling Overhead with Phase Change Materials.
ISCA
Matt Skach, Manish Arora, Dean M. Tullsen, Lingjia Tang, Jason Mars
2017 A* conf
DeftNN: addressing bottlenecks for DNN execution on GPUs via synapse vector elimination and near-compute data fission.
MICRO
Parker Hill, Animesh Jain, Mason Hill, Babak Zamirai, Chang-Hong Hsu, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars
2017 A* conf
Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.
ASPLOS
Yiping Kang, Johann Hauswald, Cao Gao, Austin Rovinski, Trevor N. Mudge, Jason Mars, Lingjia Tang
2017 A* conf
PowerChief: Intelligent Power Allocation for Multi-Stage Applications to Improve Responsiveness on Power Constrained CMP.
ISCA
Hailong Yang, Quan Chen, Moeiz Riaz, Zhongzhi Luan, Lingjia Tang, Jason Mars
2017 A ed.
Proceedings of the 2017 International Symposium on Code Generation and Optimization, CGO 2017, Austin, TX, USA, February 4-8, 2017
CGO
Vijay Janapa Reddi, Aaron Smith, Lingjia Tang
2017 A* conf
Prophet: Precise QoS Prediction on Non-Preemptive Accelerators to Improve Utilization in Warehouse-Scale Computers.
ASPLOS
Quan Chen, Hailong Yang, Minyi Guo, Ram Srivatsa Kannan, Jason Mars, Lingjia Tang
2017 J jnl
Reining in Long Tails in Warehouse-Scale Computers with Quick Voltage Boosting Using Adrenaline.
ACM Trans. Comput. Syst.
Chang-Hong Hsu, Yunqi Zhang, Michael A. Laurenzano, David Meisner, Thomas F. Wenisch, Ronald G. Dreslinski, Jason Mars, Lingjia Tang
2017 J jnl
Thermal Time Shifting: Decreasing Data Center Cooling Costs with Phase-Change Materials.
IEEE Internet Comput.
Matt Skach, Manish Arora, Chang-Hong Hsu, Qi Li, Dean M. Tullsen, Lingjia Tang, Jason Mars
2016 A* conf
Baymax: QoS Awareness and Increased Utilization for Non-Preemptive Accelerators in Warehouse Scale Computers.
ASPLOS
Quan Chen, Hailong Yang, Jason Mars, Lingjia Tang
2016 A* conf
Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation.
MICRO
Animesh Jain, Parker Hill, Shih-Chieh Lin, Muneeb Khan, Md. Enamul Haque, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars
2016 A* conf
Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting.
MICRO
Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars
2016 A* conf
CrystalBall: Statically analyzing runtime behavior via deep sequence learning.
MICRO
Stephen A. Zekany, Daniel Rings, Nathan Harada, Michael A. Laurenzano, Lingjia Tang, Jason Mars
2016 J jnl
Designing Future Warehouse-Scale Computers for Sirius, an End-to-End Voice and Vision Personal Assistant.
ACM Trans. Comput. Syst.
Johann Hauswald, Michael A. Laurenzano, Yunqi Zhang, Hailong Yang, Yiping Kang, Cheng Li, Austin Rovinski, Arjun Khurana, Ronald G. Dreslinski, Trevor N. Mudge, Vinicius Petrucci, Lingjia Tang, Jason Mars
2016 A* conf
Input responsiveness: using canary inputs to dynamically steer approximation.
PLDI
Michael A. Laurenzano, Parker Hill, Mehrzad Samadi, Scott A. Mahlke, Jason Mars, Lingjia Tang
2016 A* conf
PowerChop: Identifying and Managing Non-critical Units in Hybrid Processor Architectures.
ISCA
Michael A. Laurenzano, Yunqi Zhang, Jiang Chen, Lingjia Tang, Jason Mars
2016 J jnl
Sirius Implications for Future Warehouse-Scale Computers.
IEEE Micro
Johann Hauswald, Michael A. Laurenzano, Yunqi Zhang, Cheng Li, Austin Rovinski, Arjun Khurana, Ronald G. Dreslinski, Trevor N. Mudge, Vinicius Petrucci, Lingjia Tang, Jason Mars
2016 A* conf
Treadmill: Attributing the Source of Tail Latency through Precise Load Testing and Statistical Inference.
ISCA
Yunqi Zhang, David Meisner, Jason Mars, Lingjia Tang
2015 A* conf
Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting.
HPCA
Chang-Hong Hsu, Yunqi Zhang, Michael A. Laurenzano, David Meisner, Thomas F. Wenisch, Jason Mars, Lingjia Tang, Ronald G. Dreslinski
2015 A* conf
DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers.
ISCA
Johann Hauswald, Yiping Kang, Michael A. Laurenzano, Quan Chen, Cheng Li, Trevor N. Mudge, Ronald G. Dreslinski, Jason Mars, Lingjia Tang
2015 A* conf
Octopus-Man: QoS-driven task management for heterogeneous multicores in warehouse-scale computers.
HPCA
Vinicius Petrucci, Michael A. Laurenzano, John Doherty, Yunqi Zhang, Daniel Mossé, Jason Mars, Lingjia Tang
2015 A* conf
Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers.
ASPLOS
Johann Hauswald, Michael A. Laurenzano, Yunqi Zhang, Cheng Li, Austin Rovinski, Arjun Khurana, Ronald G. Dreslinski, Trevor N. Mudge, Vinicius Petrucci, Lingjia Tang, Jason Mars
2015 A* conf
Thermal time shifting: leveraging phase change materials to reduce cooling costs in warehouse-scale computers.
ISCA
Matt Skach, Manish Arora, Chang-Hong Hsu, Qi Li, Dean M. Tullsen, Lingjia Tang, Jason Mars
2014 J jnl
Enabling fair pricing on high performance computer systems with node sharing.
Sci. Program.
Alex D. Breslow, Ananta Tiwari, Martin Schulz, Laura Carrington, Lingjia Tang, Jason Mars
2014 — conf
HaPPy: Hyperthread-aware Power Profiling Dynamically.
USENIX ATC
Yan Zhai, Xiao Zhang, Stéphane Eranian, Lingjia Tang, Jason Mars
2014 A* conf
Protean Code: Achieving Near-Free Online Code Transformations for Warehouse Scale Computers.
MICRO
Michael A. Laurenzano, Yunqi Zhang, Lingjia Tang, Jason Mars
2014 A* conf
SMiTe: Precise QoS Prediction on Real-System SMT Processors to Improve Utilization in Warehouse Scale Computers.
MICRO
Yunqi Zhang, Michael A. Laurenzano, Jason Mars, Lingjia Tang
2013 A* conf
Bubble-flux: precise online QoS management for increased utilization in warehouse scale computers.
ISCA
Hailong Yang, Alex D. Breslow, Jason Mars, Lingjia Tang
2013 A conf
Enabling fair pricing on HPC systems with node sharing.
SC
Alex D. Breslow, Ananta Tiwari, Martin Schulz, Laura Carrington, Lingjia Tang, Jason Mars
2013 A* conf
Optimizing Google's warehouse scale computers: The NUMA experience.
HPCA
Lingjia Tang, Jason Mars, Xiao Zhang, Robert Hagmann, Robert Hundt, Eric Tune
2013 A* conf
ReQoS: reactive static/dynamic compilation for QoS in warehouse scale computers.
ASPLOS
Lingjia Tang, Jason Mars, Wei Wang, Tanima Dey, Mary Lou Soffa
2013 J jnl
Understanding Application Contentiousness and Sensitivity on Modern Multicores.
Adv. Comput.
Jason Mars, Lingjia Tang
2013 A* conf
Whare-map: heterogeneity in "homogeneous" warehouse-scale computers.
ISCA
Jason Mars, Lingjia Tang
2012 A conf
Compiling for niceness: mitigating contention for QoS in warehouse scale computers.
CGO
Lingjia Tang, Jason Mars, Mary Lou Soffa
2012 J jnl
Increasing Utilization in Modern Warehouse-Scale Computers Using Bubble-Up.
IEEE Micro
Jason Mars, Lingjia Tang, Kevin Skadron, Mary Lou Soffa, Robert Hundt
2012 B conf
Performance analysis of thread mappings with a holistic view of the hardware resources.
ISPASS
Wei Wang, Tanima Dey, Jason Mars, Lingjia Tang, Jack W. Davidson, Mary Lou Soffa
2011 A* conf
Bubble-Up: increasing utilization in modern warehouse scale computers via sensible co-locations.
MICRO
Jason Mars, Lingjia Tang, Robert Hundt, Kevin Skadron, Mary Lou Soffa
2011 — conf
Directly characterizing cross core interference through contention synthesis.
HiPEAC
Jason Mars, Lingjia Tang, Mary Lou Soffa
2011 J jnl
Heterogeneity in "Homogeneous" Warehouse-Scale Computers: A Performance Opportunity.
IEEE Comput. Archit. Lett.
Jason Mars, Lingjia Tang, Robert Hundt
2011 A* conf
The impact of memory subsystem resource sharing on datacenter applications.
ISCA
Lingjia Tang, Jason Mars, Neil Vachharajani, Robert Hundt, Mary Lou Soffa
2007 Misc conf
Agile optimization for coercion.
WSC
Lingjia Tang, Paul F. Reynolds Jr.
2007 B conf
Explanation Exploration: Exploring Emergent Behavior.
PADS
Ross Gore, Paul F. Reynolds Jr., Lingjia Tang, David C. Brogan