activity
20242026
most citedLoki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling

8 citations · 9 across the 9 of their papers we have counts for

collaborators

10 papers

eess.IV2026

CATRF: Codec-Adaptive TriPlane Radiance Fields for Volumetric Content Delivery

Tung-I Chen, Lingdong Wang, Subhransu Maji +1

Volumetric media promises next-generation content delivery applications, but its bandwidth demand remains a key bottleneck. Implicit and hybrid volumetric representations reduce mo…

cs.NI2026

ReVo: A Cross-Layer Reliable Volumetric Videoconferencing System

Ankur Aditya, Diptyaroop Maji, Lingdong Wang +3

Volumetric videoconferencing enables immersive six Degrees of Freedom interactions by jointly transmitting visual appearance and 3D geometry. However, delivering volumetric video o…

cs.CV2025

Low-Bitrate Video Compression through Semantic-Conditioned Diffusion

Lingdong Wang, Guan-Ming Su, Divya Kothandaraman +3

Traditional video codecs optimized for pixel fidelity collapse at ultra-low bitrates and produce severe artifacts. This failure arises from a fundamental misalignment between pixel…

cs.LG2025

CarbonX: An Open-Source Tool for Computational Decarbonization Using Time Series Foundation Models

Diptyaroop Maji, Kang Yang, Prashant Shenoy +2

Computational decarbonization aims to reduce carbon emissions in computing and societal systems such as data centers, transportation, and built environments. This requires accurate…

cs.LG2025

Smoothed Online Optimization for Target Tracking: Robust and Learning-Augmented Algorithms

Ali Zeynali, Mahsa Sahebdel, Qingsong Liu +2

We introduce the Smoothed Online Optimization for Target Tracking (SOOTT) problem, a new framework that integrates three key objectives in online decision-making under uncertainty:…

cs.DC2025

HADIS: A Hybrid Architecture for Query-Aware Diffusion Model Serving

Qizheng Yang, Tung-I Chen, Siyu Zhao +2

Query-aware model serving routes queries through cascades of increasing cost to balance quality and throughput. Existing cascade systems force all queries through the lightweight s…

cs.LG2024★ 1 cited

Towards Environmentally Equitable AI

Mohammad Hajiesmaili, Shaolei Ren, Ramesh K. Sitaraman +1

The skyrocketing demand for artificial intelligence (AI) has created an enormous appetite for globally deployed power-hungry servers. As a result, the environmental footprint of AI…

cs.DC2024

DiffServe: Efficiently Serving Text-to-Image Diffusion Models with Query-Aware Model Scaling

Sohaib Ahmad, Qizheng Yang, Haoliang Wang +2

Text-to-image generation using diffusion models has gained increasing popularity due to their ability to produce high-quality, realistic images based on text prompts. However, effi…

eess.SY2024

Near-Optimal Emission-Aware Online Ride Assignment Algorithm for Peak Demand Hours

Ali Zeynali, Mahsa Sahebdel, Noman Bashir +2

Ridesharing has experienced significant global growth over the past decade and is becoming an integral component of modern transportation systems. However, despite their benefits,…

cs.DC2024★ 8 cited

Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling

Sohaib Ahmad, Hui Guan, Ramesh K. Sitaraman

The rapid adoption of machine learning (ML) has underscored the importance of serving ML models with high throughput and resource efficiency. Traditional approaches to managing inc…