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11/29/2022
Optimizing Stock Option Forecasting with the Assembly of Machine Learning Models and Improved Trading Strategies
This paper introduced key aspects of applying Machine Learning (ML) mode...
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11/21/2022
CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation
Practical dialog systems need to deal with various knowledge sources, no...
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11/11/2022
Lamda: The Last Mile of the Datacenter Network Does matter
In this paper, we conduct systematic measurement studies to show that th...
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10/21/2022
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing
In this paper, we propose a novel SQL guided pre-training framework STAR...
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09/30/2022
Application of Deep Q Learning with Stimulation Results for Elevator Optimization
This paper presents a methodology for combining programming and mathemat...
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09/26/2022
Elevator Optimization: Application of Spatial Process and Gibbs Random Field Approaches for Dumbwaiter Modeling and Multi-Dumbwaiter Systems
This research investigates analytical and quantitative methods for simul...
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09/23/2022
A Game of Simulation: Modeling and Analyzing the Dragons of Game of Thrones
This paper outlines two approaches for mathematical, simulation, modelin...
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09/14/2022
SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding
Pre-training methods with contrastive learning objectives have shown rem...
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08/25/2022
Application of Convolutional Neural Networks with Quasi-Reversibility Method Results for Option Forecasting
This paper presents a novel way to apply mathematical finance and machin...
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08/10/2022
TokenPatronus: A Decentralized NFT Anti-theft Mechanism
The emergence of metaverse brings tremendous evolution to Non-Fungible T...
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05/24/2022
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
Large-scale pretrained foundation models have been an emerging paradigm ...
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05/11/2022
Libra: In-network Gradient Aggregation for Speeding up Distributed Sparse Deep Training
Distributed sparse deep learning has been widely used in many internet-s...
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11/29/2021
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection
Pre-trained models have proved to be powerful in enhancing task-oriented...
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11/18/2021
SDCUP: Schema Dependency-Enhanced Curriculum Pre-Training for Table Semantic Parsing
Recently pre-training models have significantly improved the performance...
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11/17/2021
Achieving Human Parity on Visual Question Answering
The Visual Question Answering (VQA) task utilizes both visual image and ...
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05/01/2020
Lightweight Convolutional Neural Networks for CSI Feedback in Massive MIMO
In frequency division duplex mode of massive multiple-input multiple-out...
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11/08/2019
Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image
To fully understand interactions between marine hydrokinetic (MHK) equip...
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11/14/2018
Anomaly Analysis for Co-located Datacenter Workloads in the Alibaba Cluster
In warehouse-scale cloud datacenters, co-locating online services and of...
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02/23/2018
BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite
Several fundamental changes in technology indicate domain-specific hardw...
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02/23/2018
BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite
As architecture, system, data management, and machine learning communiti...
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05/03/2017
