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09/19/2023
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
With the fast growth of parameter size, it becomes increasingly challeng...
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09/09/2023
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining
Educational Data Mining (EDM) has emerged as a vital field of research, ...
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08/28/2023
Alleviating Video-Length Effect for Micro-video Recommendation
Micro-videos platforms such as TikTok are extremely popular nowadays. On...
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08/17/2023
Edit Temporal-Consistent Videos with Image Diffusion Model
Large-scale text-to-image (T2I) diffusion models have been extended for ...
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08/05/2023
EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
EduChat (https://www.educhat.top/) is a large-scale language model (LLM)...
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06/08/2023
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model
The Origin-Destination (OD) networks provide an estimation of the flow o...
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04/06/2023
A Fast and Lightweight Network for Low-Light Image Enhancement
Low-light images often suffer from severe noise, low brightness, low con...
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03/22/2023
Logical Expressiveness of Graph Neural Network for Knowledge Graph Reasoning
Graph Neural Networks (GNNs) have been recently introduced to learn from...
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08/30/2022
EasyScale: Accuracy-consistent Elastic Training for Deep Learning
Distributed synchronized GPU training is commonly used for deep learning...
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08/26/2022
Causal Inference in Recommender Systems: A Survey and Future Directions
Existing recommender systems extract the user preference based on learni...
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05/05/2022
KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning
While hyper-parameters (HPs) are important for knowledge graph (KG) lear...
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08/20/2021
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction
Tabular data prediction (TDP) is one of the most popular industrial appl...
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04/30/2021
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
Traffic prediction is the cornerstone of an intelligent transportation s...
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03/12/2021
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems
Federated learning (FL) utilizes edge computing devices to collaborative...
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11/18/2020
Whale: A Unified Distributed Training Framework
Data parallelism (DP) has been a common practice to speed up the trainin...
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11/09/2020
