8 citations · 16 across the 7 of their papers we have counts for
7 papers
Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation
Yijun Yang, Angelica I. Aviles-Rivero, Huazhu Fu +3
Although convolutional neural networks (CNNs) have been proposed to remove adverse weather conditions in single images using a single set of pre-trained weights, they fail to resto…
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables
Wenting Zhao, Ye Liu, Yao Wan +3
Question answering on tabular data (a.k.a TableQA), which aims at generating answers to questions grounded on a provided table, has gained significant attention recently. Prior wor…
Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning
Hoang H. Nguyen, Chenwei Zhang, Ye Liu +1
Recent advanced methods in Natural Language Understanding for Task-oriented Dialogue (TOD) Systems (e.g., intent detection and slot filling) require a large amount of annotated dat…
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System
Ye Liu, Chenwei Zhang, Xiaohui Yan +2
In real-world question-answering (QA) systems, ill-formed questions, such as wrong words, ill word order, and noisy expressions, are common and may prevent the QA systems from unde…
Product Title Refinement via Multi-Modal Generative Adversarial Learning
Jianguo Zhang, Pengcheng Zou, Zhao Li +5
Nowadays, an increasing number of customers are in favor of using E-commerce Apps to browse and purchase products. Since merchants are usually inclined to employ redundant and over…
Data-driven Blockbuster Planning on Online Movie Knowledge Library
Ye Liu, Jiawei Zhang, Chenwei Zhang +1
In the era of big data, logistic planning can be made data-driven to take advantage of accumulated knowledge in the past. While in the movie industry, movie planning can also explo…
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis
Ye Liu, Lifang He, Bokai Cao +3
Network analysis of human brain connectivity is critically important for understanding brain function and disease states. Embedding a brain network as a whole graph instance into a…