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09/12/2023
Frequency Convergence of Complexon Shift Operators (Extended Version)
Topological Signal Processing (TSP) utilizes simplicial complexes to mod...
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09/11/2023
Generalized Graphon Process: Convergence of Graph Frequencies in Stretched Cut Distance
Graphons have traditionally served as limit objects for dense graph sequ...
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08/18/2023
Distribution shift mitigation at test time with performance guarantees
Due to inappropriate sample selection and limited training data, a distr...
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05/13/2023
AMTSS: An Adaptive Multi-Teacher Single-Student Knowledge Distillation Framework For Multilingual Language Inference
Knowledge distillation is of key importance to launching multilingual pr...
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05/11/2023
Generalized signals on simplicial complexes
Topological signal processing (TSP) over simplicial complexes typically ...
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04/29/2023
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
In node classification using graph neural networks (GNNs), a typical mod...
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04/21/2023
Effective Numerical Simulations of Synchronous Generator System
Synchronous generator system is a complicated dynamical system for energ...
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04/07/2023
Distributional Signals for Node Classification in Graph Neural Networks
In graph neural networks (GNNs), both node features and labels are examp...
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03/03/2023
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks
Many graph neural networks have been developed to learn graph representa...
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07/24/2022
SGAT: Simplicial Graph Attention Network
Heterogeneous graphs have multiple node and edge types and are semantica...
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06/09/2022
Abstract message passing and distributed graph signal processing
Graph signal processing is a framework to handle graph structured data. ...
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05/10/2021
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training
Pre-trained Language Models (PLMs) have achieved great success on Machin...
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05/05/2021
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss
A number of studies point out that current Visual Question Answering (VQ...
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03/29/2021
Learning on heterogeneous graphs using high-order relations
A heterogeneous graph consists of different vertices and edges types. Le...
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11/25/2020
Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations
Intelligent personal assistant systems for information-seeking conversat...
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11/05/2020
Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources
In order to facilitate natural language understanding, the key is to eng...
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09/24/2020
AliMe KG: Domain Knowledge Graph Construction and Application in E-commerce
Pre-sales customer service is of importance to E-commerce platforms as i...
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05/27/2020
Should Answer Immediately or Wait for Further Information? A Novel Wait-or-Answer Task and Its Predictive Approach
Different people have different habits of describing their intents in co...
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05/21/2020
MTSS: Learn from Multiple Domain Teachers and Become a Multi-domain Dialogue Expert
How to build a high-quality multi-domain dialogue system is a challengin...
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02/22/2020
"Wait, I'm Still Talking!" Predicting the Dialogue Interaction Behavior Using Imagine-Then-Arbitrate Model
Producing natural and accurate responses like human beings is the ultima...
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11/07/2019
Transformation of Dense and Sparse Text Representations
Sparsity is regarded as a desirable property of representations, especia...
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11/07/2019
Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce
Information-seeking conversation system aims at satisfying the informati...
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09/25/2019
Task-Oriented Conversation Generation Using Heterogeneous Memory Networks
How to incorporate external knowledge into a neural dialogue model is cr...
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08/20/2019
Teacher-Student Framework Enhanced Multi-domain Dialogue Generation
Dialogue systems dealing with multi-domain tasks are highly required. Ho...
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08/01/2019
Simple and Effective Text Matching with Richer Alignment Features
In this paper, we present a fast and strong neural approach for general ...
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04/27/2019
Review-Driven Answer Generation for Product-Related Questions in E-Commerce
The users often have many product-related questions before they make a p...
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02/25/2019
GraphFlow: A New Graph Convolutional Network Based on Parallel Flows
In view of the huge success of convolution neural networks (CNN) for ima...
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12/30/2018
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching
Deep text matching approaches have been widely studied for many applicat...
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10/20/2018
Improving Multilingual Semantic Textual Similarity with Shared Sentence Encoder for Low-resource Languages
Measuring the semantic similarity between two sentences (or Semantic Tex...
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06/14/2018
Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce
Building multi-turn information-seeking conversation systems is an impor...
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05/01/2018
