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06/09/2023
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework
Hyperparameter optimization, also known as hyperparameter tuning, is a w...
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05/30/2023
Optimal Hub Placement and Deadlock-Free Routing for Payment Channel Network Scalability
As a promising implementation model of payment channel network (PCN), pa...
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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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08/05/2022
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis
In this paper, we present our solutions for the Multimodal Sentiment Ana...
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06/09/2022
Analytical Composition of Differential Privacy via the Edgeworth Accountant
Many modern machine learning algorithms are composed of simple private a...
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07/01/2021
Sparse GCA and Thresholded Gradient Descent
Generalized correlation analysis (GCA) is concerned with uncovering line...
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06/28/2021
LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction
In this report, we (SuperHelix team) present our solution to KDD Cup 202...
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06/07/2021
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech
In this paper, we present a neural model for joint dropped pronoun recov...
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04/09/2021
Noisy-Labeled NER with Confidence Estimation
Recent studies in deep learning have shown significant progress in named...
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10/07/2020
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields
Pronouns are often dropped in Chinese conversations and recovering the d...
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12/29/2019
EdgeToll: A Blockchain-based Toll Collection System for Public Sharing of Heterogeneous Edges
Edge computing is a novel paradigm designed toimprove the quality of ser...
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04/14/2019
Pre-training of Context-aware Item Representation for Next Basket Recommendation
Next basket recommendation, which aims to predict the next a few items t...
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08/24/2018
From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information
Dropout is used to avoid overfitting by randomly dropping units from the...
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04/29/2018
A Tree Search Algorithm for Sequence Labeling
In this paper we propose a novel reinforcement learning based model for ...
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04/29/2018
Sequence Tagging with Policy-Value Networks and Tree Search
In this paper we propose a novel reinforcement learning based model for ...
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09/24/2014
Improving Cross-domain Recommendation through Probabilistic Cluster-level Latent Factor Model--Extended Version
Cross-domain recommendation has been proposed to transfer user behavior ...
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04/11/2012
Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks
This paper aims at the problem of link pattern prediction in collections...
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04/11/2012
