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09/16/2023
Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations
Web applications are increasingly becoming the primary platform for AI s...
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08/23/2023
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference
Large language models (LLMs) based on transformers have made significant...
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06/26/2023
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
Deploying pre-trained transformer models like BERT on downstream tasks i...
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06/10/2023
An Adaptive Hybrid Channel Reservation Medium Access Control Protocol for Differentiated QoS
In a densely deployed distributed wireless network, there may be various...
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05/31/2023
Accurate and Structured Pruning for Efficient Automatic Speech Recognition
Automatic Speech Recognition (ASR) has seen remarkable advancements with...
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05/21/2023
Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models
Efficient deployment of large language models (LLMs) necessitates low-bi...
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04/28/2023
An Adaptive Channel Reservation MAC Protocol Based on Forwarding Traffic of Key Nodes
Ad Hoc networks with multi-hop topology are widely used in military and ...
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04/04/2023
A method of combining traffic classification and traffic prediction based on machine learning in wireless networks
With the increasing number of service types of wireless network and the ...
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03/17/2023
IRGen: Generative Modeling for Image Retrieval
While generative modeling has been ubiquitous in natural language proces...
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03/17/2023
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
Neural Architecture Search (NAS) has shown promising performance in the ...
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03/15/2023
Gamify Stencil Dwarf on Cloud for Democratizing Scientific Computing
Stencil computation is one of the most important kernels in various scie...
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03/15/2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
The combination of Neural Architecture Search (NAS) and quantization has...
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02/14/2023
Insights on the Next Generation WLAN: High Experiences (HEX)
Wireless local area network (WLAN) witnesses a very fast growth in the p...
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02/10/2023
Sensing Assisted Communication for the Next Generation mmWave WLAN: System Simulation Perspective
With the proliferating of wireless demands, wireless local area network ...
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02/07/2023
LUT-NN: Towards Unified Neural Network Inference by Table Lookup
DNN inference requires huge effort of system development and resource co...
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01/26/2023
SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation
Due to its high cost-effectiveness, sparsity has become the most importa...
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01/21/2023
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction
With the growing model size, deep neural networks (DNN) are increasingly...
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10/16/2022
On the necessity of separating MAC protocols into data and control planes
The network protocol architecture not only can be designed from the trad...
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08/30/2022
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance
Ad relevance modeling plays a critical role in online advertising system...
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06/06/2022
A Neural Corpus Indexer for Document Retrieval
Current state-of-the-art document retrieval solutions mainly follow an i...
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03/29/2022
Idea and Theory of Particle Access
Aiming at some problems existing in the current quality of service (QoS)...
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03/10/2022
Theory of Network Wave (On a Primary Path)
Aiming at the disorder problem (i.e. uncertainty problem) of the utiliza...
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11/05/2021
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
The in-memory algorithms for approximate nearest neighbor search (ANNS) ...
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09/23/2021
WRENCH: A Comprehensive Benchmark for Weak Supervision
Recent Weak Supervision (WS) approaches have had widespread success in e...
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07/13/2021
Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns (Extended Version)
Anti-piracy is fundamentally a procedure that relies on collecting data ...
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06/10/2020
OpEvo: An Evolutionary Method for Tensor Operator Optimization
Training and inference efficiency of deep neural networks highly rely on...
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12/23/2019
TextNAS: A Neural Architecture Search Space tailored for Text Representation
Learning text representation is crucial for text classification and othe...
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06/10/2019
Time-Series Anomaly Detection Service at Microsoft
Large companies need to monitor various metrics (for example, Page Views...
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06/15/2018
Survey and Performance Evaluation of the Upcoming Next Generation WLAN Standard - IEEE 802.11ax
With the ever-increasing demand for wireless traffic and quality of seri...
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06/12/2018