Haoran Qiu

Research Engineer

Publications

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- ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
  
  Preprint Project Project
- From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models
  
  Xingqi Cui, Chieh-Jan Mike Liang, Jiarong Xing, Haoran Qiu
  
  November 2025
  
  Preprint Project
- Sherlock: Reliable and efficient workflow execution
  
  Yeonju Ro, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Ricardo Bianchini, Aditya Akella, Zhangyang Wang, Mattan Erez, Esha Choukse
  
  November 2025
  
  Publication Project
- Medha: Efficient LLM Inference on Multi-Million Context Lengths Without Approximation
  
  Amey Agrawal, Haoran Qiu, Junda Chen, Íñigo Goiri, Chaojie Zhang, Rayyan Shahid, Ramachandran Ramjee, Alexey Tumanov, Esha Choukse
  
  September 2025
  
  Publication Project
- The Next Horizon of System Intelligence
  
  Chieh-Jan Mike Liang, Haoran Qiu, Francis Y. Yan, Tianyin Xu, Lidong Zhou
  
  September 2025
  
  Publication
- TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms
  
  Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri, Esha Choukse, Haoran Qiu, Rodrigo Fonseca, Josep Torrellas, Ricardo Bianchini
  
  ASPLOS | April 2025
  
  Preprint Project
- ModServe: Scalable and Resource-Efficient Large Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  February 2025
  
  Publication Project Project
- SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
  
  Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini
  
  ISCA | June 2024
  
  Publication

- ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
  
  Preprint Project Project
- From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models
  
  Xingqi Cui, Chieh-Jan Mike Liang, Jiarong Xing, Haoran Qiu
  
  November 2025
  
  Preprint Project
- Sherlock: Reliable and efficient workflow execution
  
  Yeonju Ro, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Ricardo Bianchini, Aditya Akella, Zhangyang Wang, Mattan Erez, Esha Choukse
  
  November 2025
  
  Publication Project
- Medha: Efficient LLM Inference on Multi-Million Context Lengths Without Approximation
  
  Amey Agrawal, Haoran Qiu, Junda Chen, Íñigo Goiri, Chaojie Zhang, Rayyan Shahid, Ramachandran Ramjee, Alexey Tumanov, Esha Choukse
  
  September 2025
  
  Publication Project
- ModServe: Scalable and Resource-Efficient Large Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  February 2025
  
  Publication Project Project
- ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
  
  Preprint Project Project
- From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models
  
  Xingqi Cui, Chieh-Jan Mike Liang, Jiarong Xing, Haoran Qiu
  
  November 2025
  
  Preprint Project
- Medha: Efficient LLM Inference on Multi-Million Context Lengths Without Approximation
  
  Amey Agrawal, Haoran Qiu, Junda Chen, Íñigo Goiri, Chaojie Zhang, Rayyan Shahid, Ramachandran Ramjee, Alexey Tumanov, Esha Choukse
  
  September 2025
  
  Publication Project
- The Next Horizon of System Intelligence
  
  Chieh-Jan Mike Liang, Haoran Qiu, Francis Y. Yan, Tianyin Xu, Lidong Zhou
  
  September 2025
  
  Publication
- TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms
  
  Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri, Esha Choukse, Haoran Qiu, Rodrigo Fonseca, Josep Torrellas, Ricardo Bianchini
  
  ASPLOS | April 2025
  
  Preprint Project
- SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
  
  Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini
  
  ISCA | June 2024
  
  Publication

- Sherlock: Reliable and efficient workflow execution
  
  Yeonju Ro, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Ricardo Bianchini, Aditya Akella, Zhangyang Wang, Mattan Erez, Esha Choukse
  
  November 2025
  
  Publication Project
- From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models
  
  Xingqi Cui, Chieh-Jan Mike Liang, Jiarong Xing, Haoran Qiu
  
  November 2025
  
  Preprint Project
- Medha: Efficient LLM Inference on Multi-Million Context Lengths Without Approximation
  
  Amey Agrawal, Haoran Qiu, Junda Chen, Íñigo Goiri, Chaojie Zhang, Rayyan Shahid, Ramachandran Ramjee, Alexey Tumanov, Esha Choukse
  
  September 2025
  
  Publication Project
- The Next Horizon of System Intelligence
  
  Chieh-Jan Mike Liang, Haoran Qiu, Francis Y. Yan, Tianyin Xu, Lidong Zhou
  
  September 2025
  
  Publication
- ModServe: Scalable and Resource-Efficient Large Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  February 2025
  
  Publication Project Project
- ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
  
  Preprint Project Project
- TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms
  
  Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri, Esha Choukse, Haoran Qiu, Rodrigo Fonseca, Josep Torrellas, Ricardo Bianchini
  
  ASPLOS | April 2025
  
  Preprint Project
- SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
  
  Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini
  
  ISCA | June 2024
  
  Publication

Haoran Qiu

Publications

ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving

From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models

Sherlock: Reliable and efficient workflow execution

Medha: Efficient LLM Inference on Multi-Million Context Lengths Without Approximation

The Next Horizon of System Intelligence

TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms

ModServe: Scalable and Resource-Efficient Large Multimodal Model Serving

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud

ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving

From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models

Sherlock: Reliable and efficient workflow execution

Medha: Efficient LLM Inference on Multi-Million Context Lengths Without Approximation

ModServe: Scalable and Resource-Efficient Large Multimodal Model Serving

ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving

From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models

Medha: Efficient LLM Inference on Multi-Million Context Lengths Without Approximation

The Next Horizon of System Intelligence

TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud

Sherlock: Reliable and efficient workflow execution

From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models

Medha: Efficient LLM Inference on Multi-Million Context Lengths Without Approximation

The Next Horizon of System Intelligence

ModServe: Scalable and Resource-Efficient Large Multimodal Model Serving

ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving

TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud

Contact Haoran Qiu

Microsoft Research Lab – Redmond