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08/19/2023
RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models
The recommendation ecosystem involves interactions between recommender s...
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10/05/2022
GLM-130B: An Open Bilingual Pre-trained Model
We introduce GLM-130B, a bilingual (English and Chinese) pre-trained lan...
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05/31/2022
Text/Speech-Driven Full-Body Animation
Due to the increasing demand in films and games, synthesizing 3D avatar ...
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03/04/2022
Look&Listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement
Active speaker detection and speech enhancement have become two increasi...
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07/31/2021
Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking
The target representation learned by convolutional neural networks plays...
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04/21/2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
Graph neural networks (GNNs) have been demonstrated as a powerful tool f...
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04/10/2021
Quantum Machine Learning for Power System Stability Assessment
Transient stability assessment (TSA), a cornerstone for resilient operat...
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03/01/2021
CogDL: An Extensive Toolkit for Deep Learning on Graphs
Graph representation learning aims to learn low-dimensional node embeddi...
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12/22/2020
Residual Matrix Product State for Machine Learning
Tensor network (TN), which originates from quantum physics, shows broad ...
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09/09/2020
Noise Reduction Technique for Raman Spectrum using Deep Learning Network
In a normal indoor environment, Raman spectrum encounters noise often co...
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11/08/2019
Balancing covariates in randomized experiments using the Gram-Schmidt walk
The paper introduces a class of experimental designs that allows experim...
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05/23/2018
