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08/24/2023
Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis Benchmark]
The field of urban spatial-temporal prediction is advancing rapidly with...
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06/20/2023
Statistical Tests for Replacing Human Decision Makers with Algorithms
This paper proposes a statistical framework with which artificial intell...
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05/22/2023
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
The recent success of large language models (LLMs) has shown great poten...
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05/18/2023
The Web Can Be Your Oyster for Improving Large Language Models
Large language models (LLMs) encode a large amount of world knowledge. H...
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04/27/2023
Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction: A Unified Library and Performance Benchmark
As deep learning technology advances and more urban spatial-temporal dat...
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04/14/2023
Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense
While having achieved great success in rich real-life applications, deep...
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02/22/2023
BUAA_BIGSCity: Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
In this technical report, we present our solution for the Baidu KDD Cup ...
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01/19/2023
PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction
As a core technology of Intelligent Transportation System, traffic flow ...
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01/16/2023
Continuous Trajectory Generation Based on Two-Stage GAN
Simulating the human mobility and generating large-scale trajectories ar...
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12/07/2022
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
Robust prediction of citywide traffic flows at different time periods pl...
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11/17/2022
Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics
Trajectory Representation Learning (TRL) is a powerful tool for spatial-...
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09/01/2022
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
High-performance traffic flow prediction model designing, a core technol...
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05/03/2022
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models
Nowadays, pretrained language models (PLMs) have dominated the majority ...
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08/20/2021
Deep Sequence Modeling: Development and Applications in Asset Pricing
We predict asset returns and measure risk premia using a prominent techn...
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06/12/2021
Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation
Due to the flexibility in modelling data heterogeneity, heterogeneous in...
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10/15/2020
Interpreting Deep Learning Model Using Rule-based Method
Deep learning models are favored in many research and industry areas and...
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02/28/2020
Detecting and Recovering Adversarial Examples: An Input Sensitivity Guided Method
Deep neural networks undergo rapid development and achieve notable succe...
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07/19/2019
Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation
Personalized Route Recommendation (PRR) aims to generate user-specific r...
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05/05/2019
Decision Making with Machine Learning and ROC Curves
The Receiver Operating Characteristic (ROC) curve is a representation of...
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04/25/2019
Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization
Recent years have witnessed the world-wide emergence of mega-metropolise...
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02/15/2019
SVM-based Deep Stacking Networks
The deep network model, with the majority built on neural networks, has ...
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06/23/2018
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis
Recent years have witnessed the unprecedented rising of time series from...
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04/26/2018