Lingjia Tang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 45

Top Topics

Text Classification Tasks

Top Venues

Publications

Christopher Clarke, Karthik Krishnamurthy, Walter Talamonti, Yiping Kang, Lingjia Tang, Jason Mars
One Agent Too Many: User Perspectives on Approaches to Multi-agent Conversational AI. CoRR (2024)
Christopher Clarke, Yuzhao Heng, Lingjia Tang, Jason Mars
PEFT-U: Parameter-Efficient Fine-Tuning for User Personalization. CoRR (2024)
Chandra Irugalbandara, Ashish Mahendra, Roland Daynauth, Tharuka Kasthuri Arachchige, Jayanaka Dantanarayana, Krisztián Flautner, Lingjia Tang, Yiping Kang, Jason Mars
Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production. ISPASS (2024)
Jason Mars, Yiping Kang, Jayanaka Dantanarayana, Chandra Irugalbandara, Kugesan Sivasothynathan, Lingjia Tang
LLMs are Meaning-Typed Code Constructs. CoRR (2024)
Chandra Irugalbandara, Ashish Mahendra, Roland Daynauth, Tharuka Kasthuri Arachchige, Krisztián Flautner, Lingjia Tang, Yiping Kang, Jason Mars
Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's GPT-4 with Self-Hosted Open Source SLMs in Production. CoRR (2023)
Christopher Clarke, Yuzhao Heng, Yiping Kang, Krisztián Flautner, Lingjia Tang, Jason Mars
Label Agnostic Pre-training for Zero-shot Text Classification. ACL (Findings) (2023)
Jason Mars, Yiping Kang, Roland Daynauth, Baichuan Li, Ashish Mahendra, Krisztián Flautner, Lingjia Tang
The Jaseci Programming Paradigm and Runtime Stack: Building Scale-Out Production Applications Easy and Fast. IEEE Comput. Archit. Lett. 22 (2) (2023)
Jason Mars, Yiping Kang, Roland Daynauth, Baichuan Li, Ashish Mahendra, Krisztián Flautner, Lingjia Tang
The Jaseci Programming Paradigm and Runtime Stack: Building Scale-out Production Applications Easy and Fast. CoRR (2023)
Christopher Clarke, Yuzhao Heng, Yiping Kang, Krisztián Flautner, Lingjia Tang, Jason Mars
Label Agnostic Pre-training for Zero-shot Text Classification. CoRR (2023)
Christopher Clarke, Joseph Joshua Peper, Karthik Krishnamurthy, Walter Talamonti, Kevin Leach, Walter S. Lasecki, Yiping Kang, Lingjia Tang, Jason Mars
One Agent To Rule Them All: Towards Multi-agent Conversational AI. CoRR (2022)
Yiping Kang, Ashish Mahendra, Christopher Clarke, Lingjia Tang, Jason Mars
Towards Personalized Intelligence at Scale. CoRR (2022)
Christopher Clarke, Joseph Peper, Karthik Krishnamurthy, Walter Talamonti, Kevin Leach, Walter S. Lasecki, Yiping Kang, Lingjia Tang, Jason Mars
One Agent To Rule Them All: Towards Multi-agent Conversational AI. ACL (Findings) (2022)
Tianyi Liu, Sen He, Sunzhou Huang, Danny Tsang, Lingjia Tang, Jason Mars, Wei Wang
A Benchmarking Framework for Interactive 3D Applications in the Cloud. MICRO (2020)
Tianyi Liu, Sen He, Sunzhou Huang, Danny Tsang, Lingjia Tang, Jason Mars, Wei Wang
A Benchmarking Framework for Interactive 3D Applications in the Cloud. CoRR (2020)
Ram Srivatsa Kannan, Lavanya Subramanian, Ashwin Raju, Jeongseob Ahn, Jason Mars, Lingjia Tang
GrandSLAm: Guaranteeing SLAs for Jobs in Microservices Execution Frameworks. EuroSys (2019)
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
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. EMNLP/IJCNLP (1) (2019)
Manish Arora, Matt Skach, Wei Huang, Xudong An, Jason Mars, Lingjia Tang, Dean M. Tullsen
Understanding the Impact of Socket Density in Density Optimized Servers. HPCA (2019)
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
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. CoRR (2019)
Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. CoRR (2019)
Ram Srivatsa Kannan, Michael Laurenzano, Jeongseob Ahn, Jason Mars, Lingjia Tang
Caliper: Interference Estimator for Multi-tenant Environments Sharing Architectural Resources. ACM Trans. Archit. Code Optim. 16 (3) (2019)
Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. NAACL-HLT (1) (2019)
Chang-Hong Hsu, Qingyuan Deng, Jason Mars, Lingjia Tang
SmoothOperator: Reducing Power Fragmentation and Improving Power Utilization in Large-scale Datacenters. ASPLOS (2018)
Yiping Kang, Yunqi Zhang, Jonathan K. Kummerfeld, Lingjia Tang, Jason Mars
Data Collection for Dialogue System: A Startup Perspective. NAACL-HLT (3) (2018)
Shih-Chieh Lin, Chang-Hong Hsu, Walter Talamonti, Yunqi Zhang, Steve Oney, Jason Mars, Lingjia Tang
Adasa: A Conversational In-Vehicle Digital Assistant for Advanced Driver Assistance Features. UIST (2018)
Shih-Chieh Lin, Yunqi Zhang, Chang-Hong Hsu, Matt Skach, Md. Enamul Haque, Lingjia Tang, Jason Mars
The Architectural Implications of Autonomous Driving: Constraints and Acceleration. ASPLOS (2018)
Matt Skach, Manish Arora, Dean M. Tullsen, Lingjia Tang, Jason Mars
Virtual Melting Temperature: Managing Server Load to Minimize Cooling Overhead with Phase Change Materials. ISCA (2018)
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
Rethinking Numerical Representations for Deep Neural Networks. CoRR (2018)
Animesh Jain, Michael A. Laurenzano, Gilles A. Pokam, Jason Mars, Lingjia Tang
Architectural support for convolutional neural networks on modern CPUs. PACT (2018)
Animesh Jain, Amar Phanishayee, Jason Mars, Lingjia Tang, Gennady Pekhimenko
Gist: Efficient Data Encoding for Deep Neural Network Training. ISCA (2018)
Ram Srivatsa Kannan, Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars
Proctor: Detecting and Investigating Interference in Shared Datacenters. ISPASS (2018)
Matt Skach, Manish Arora, Chang-Hong Hsu, Qi Li, Dean M. Tullsen, Lingjia Tang, Jason Mars
Thermal Time Shifting: Decreasing Data Center Cooling Costs with Phase-Change Materials. IEEE Internet Comput. 21 (4) (2017)
Yiping Kang, Johann Hauswald, Cao Gao, Austin Rovinski, Trevor N. Mudge, Jason Mars, Lingjia Tang
Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge. ASPLOS (2017)
Quan Chen, Hailong Yang, Minyi Guo, Ram Srivatsa Kannan, Jason Mars, Lingjia Tang
Prophet: Precise QoS Prediction on Non-Preemptive Accelerators to Improve Utilization in Warehouse-Scale Computers. ASPLOS (2017)
Hailong Yang, Quan Chen, Moeiz Riaz, Zhongzhi Luan, Lingjia Tang, Jason Mars
PowerChief: Intelligent Power Allocation for Multi-Stage Applications to Improve Responsiveness on Power Constrained CMP. ISCA (2017)
Chang-Hong Hsu, Yunqi Zhang, Michael A. Laurenzano, David Meisner, Thomas F. Wenisch, Ronald G. Dreslinski, Jason Mars, Lingjia Tang
Reining in Long Tails in Warehouse-Scale Computers with Quick Voltage Boosting Using Adrenaline. ACM Trans. Comput. Syst. 35 (1) (2017)
Parker Hill, Animesh Jain, Mason Hill, Babak Zamirai, Chang-Hong Hsu, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars
DeftNN: addressing bottlenecks for DNN execution on GPUs via synapse vector elimination and near-compute data fission. MICRO (2017)
Animesh Jain, Parker Hill, Shih-Chieh Lin, Muneeb Khan, Md. Enamul Haque, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars
Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation. MICRO (2016)
Quan Chen, Hailong Yang, Jason Mars, Lingjia Tang
Baymax: QoS Awareness and Increased Utilization for Non-Preemptive Accelerators in Warehouse Scale Computers. ASPLOS (2016)
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
Designing Future Warehouse-Scale Computers for Sirius, an End-to-End Voice and Vision Personal Assistant. ACM Trans. Comput. Syst. 34 (1) (2016)
Yunqi Zhang, David Meisner, Jason Mars, Lingjia Tang
Treadmill: Attributing the Source of Tail Latency through Precise Load Testing and Statistical Inference. ISCA (2016)
Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars
Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting. MICRO (2016)
Stephen Zekany, Daniel Rings, Nathan Harada, Michael A. Laurenzano, Lingjia Tang, Jason Mars
CrystalBall: Statically analyzing runtime behavior via deep sequence learning. MICRO (2016)
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
Sirius Implications for Future Warehouse-Scale Computers. IEEE Micro 36 (3) (2016)
Michael A. Laurenzano, Parker Hill, Mehrzad Samadi, Scott A. Mahlke, Jason Mars, Lingjia Tang
Input responsiveness: using canary inputs to dynamically steer approximation. PLDI (2016)
Michael A. Laurenzano, Yunqi Zhang, Jiang Chen, Lingjia Tang, Jason Mars
PowerChop: Identifying and Managing Non-critical Units in Hybrid Processor Architectures. ISCA (2016)
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
Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers. ASPLOS (2015)
Johann Hauswald, Yiping Kang, Michael A. Laurenzano, Quan Chen, Cheng Li, Trevor N. Mudge, Ronald G. Dreslinski, Jason Mars, Lingjia Tang
DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers. ISCA (2015)
Matt Skach, Manish Arora, Chang-Hong Hsu, Qi Li, Dean M. Tullsen, Lingjia Tang, Jason Mars
Thermal time shifting: leveraging phase change materials to reduce cooling costs in warehouse-scale computers. ISCA (2015)
Vinicius Petrucci, Michael A. Laurenzano, John Doherty, Yunqi Zhang, Daniel Mossé, Jason Mars, Lingjia Tang
Octopus-Man: QoS-driven task management for heterogeneous multicores in warehouse-scale computers. HPCA (2015)
Chang-Hong Hsu, Yunqi Zhang, Michael A. Laurenzano, David Meisner, Thomas F. Wenisch, Jason Mars, Lingjia Tang, Ronald G. Dreslinski
Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting. HPCA (2015)
Yunqi Zhang, Michael A. Laurenzano, Jason Mars, Lingjia Tang
SMiTe: Precise QoS Prediction on Real-System SMT Processors to Improve Utilization in Warehouse Scale Computers. MICRO (2014)
Michael A. Laurenzano, Yunqi Zhang, Lingjia Tang, Jason Mars
Protean Code: Achieving Near-Free Online Code Transformations for Warehouse Scale Computers. MICRO (2014)
Alex D. Breslow, Ananta Tiwari, Martin Schulz, Laura Carrington, Lingjia Tang, Jason Mars
Enabling fair pricing on high performance computer systems with node sharing. Sci. Program. 22 (2) (2014)
Yan Zhai, Xiao Zhang, Stéphane Eranian, Lingjia Tang, Jason Mars
HaPPy: Hyperthread-aware Power Profiling Dynamically. USENIX Annual Technical Conference (2014)
Lingjia Tang, Jason Mars, Wei Wang, Tanima Dey, Mary Lou Soffa
ReQoS: reactive static/dynamic compilation for QoS in warehouse scale computers. ASPLOS (2013)
Hailong Yang, Alex D. Breslow, Jason Mars, Lingjia Tang
Bubble-flux: precise online QoS management for increased utilization in warehouse scale computers. ISCA (2013)
Lingjia Tang, Jason Mars, Xiao Zhang, Robert Hagmann, Robert Hundt, Eric Tune
Optimizing Google's warehouse scale computers: The NUMA experience. HPCA (2013)
Alex D. Breslow, Ananta Tiwari, Martin Schulz, Laura Carrington, Lingjia Tang, Jason Mars
Enabling fair pricing on HPC systems with node sharing. SC (2013)
Jason Mars, Lingjia Tang
Understanding Application Contentiousness and Sensitivity on Modern Multicores. Adv. Comput. 91 (2013)
Jason Mars, Lingjia Tang
Whare-map: heterogeneity in "homogeneous" warehouse-scale computers. ISCA (2013)
Wei Wang, Tanima Dey, Jason Mars, Lingjia Tang, Jack W. Davidson, Mary Lou Soffa
Performance analysis of thread mappings with a holistic view of the hardware resources. ISPASS (2012)
Lingjia Tang, Jason Mars, Mary Lou Soffa
Compiling for niceness: mitigating contention for QoS in warehouse scale computers. CGO (2012)
Jason Mars, Lingjia Tang, Kevin Skadron, Mary Lou Soffa, Robert Hundt
Increasing Utilization in Modern Warehouse-Scale Computers Using Bubble-Up. IEEE Micro 32 (3) (2012)
Jason Mars, Lingjia Tang, Mary Lou Soffa
Directly characterizing cross core interference through contention synthesis. HiPEAC (2011)
Jason Mars, Lingjia Tang, Robert Hundt
Heterogeneity in "Homogeneous" Warehouse-Scale Computers: A Performance Opportunity. IEEE Comput. Archit. Lett. 10 (2) (2011)
Lingjia Tang, Jason Mars, Neil Vachharajani, Robert Hundt, Mary Lou Soffa
The impact of memory subsystem resource sharing on datacenter applications. ISCA (2011)
Jason Mars, Lingjia Tang, Robert Hundt, Kevin Skadron, Mary Lou Soffa
Bubble-Up: increasing utilization in modern warehouse scale computers via sensible co-locations. MICRO (2011)
Lingjia Tang, Paul F. Reynolds Jr.
Agile optimization for coercion. WSC (2007)
Ross Gore, Paul F. Reynolds Jr., Lingjia Tang, David C. Brogan
Explanation Exploration: Exploring Emergent Behavior. PADS (2007)