19 citations · 73 across the 18 of their papers we have counts for
18 papers
Recognizable Information Bottleneck
Yilin Lyu, Xin Liu, Mingyang Song +4
Information Bottlenecks (IBs) learn representations that generalize to unseen data by information compression. However, existing IBs are practically unable to guarantee generalizat…
Is ChatGPT A Good Keyphrase Generator? A Preliminary Study
Mingyang Song, Haiyun Jiang, Shuming Shi +5
The emergence of ChatGPT has recently garnered significant attention from the computational linguistics community. To demonstrate its capabilities as a keyphrase generator, we cond…
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification
Lin Xiao, Pengyu Xu, Liping Jing +1
Multi-label text classification (MLTC) is one of the key tasks in natural language processing. It aims to assign multiple target labels to one document. Due to the uneven popularit…
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning
Zhengwei Fang, Rui Wang, Tao Huang +1
Strong adversarial examples are crucial for evaluating and enhancing the robustness of deep neural networks. However, the performance of popular attacks is usually sensitive, for i…
Hyperbolic Relevance Matching for Neural Keyphrase Extraction
Mingyang Song, Yi Feng, Liping Jing
Keyphrase extraction is a fundamental task in natural language processing and information retrieval that aims to extract a set of phrases with important information from a source d…
Learning Target-aware Representation for Visual Tracking via Informative Interactions
Mingzhe Guo, Zhipeng Zhang, Heng Fan +4
We introduce a novel backbone architecture to improve target-perception ability of feature representation for tracking. Specifically, having observed that de facto frameworks perfo…
Topic-Aware Encoding for Extractive Summarization
Mingyang Song, Liping Jing
Document summarization provides an instrument for faster understanding the collection of text documents and has several real-life applications. With the growth of online text data,…
Reinforcing Semantic-Symmetry for Document Summarization
Mingyang Song, Liping Jing
Document summarization condenses a long document into a short version with salient information and accurate semantic descriptions. The main issue is how to make the output summary…
Reinforced Abstractive Summarization with Adaptive Length Controlling
Mingyang Song, Yi Feng, Liping Jing
Document summarization, as a fundamental task in natural language generation, aims to generate a short and coherent summary for a given document. Controllable summarization, especi…
Importance Estimation from Multiple Perspectives for Keyphrase Extraction
Mingyang Song, Liping Jing, Lin Xiao
Keyphrase extraction is a fundamental task in Natural Language Processing, which usually contains two main parts: candidate keyphrase extraction and keyphrase importance estimation…
Probing BERT in Hyperbolic Spaces
Boli Chen, Yao Fu, Guangwei Xu +4
Recently, a variety of probing tasks are proposed to discover linguistic properties learned in contextualized word embeddings. Many of these works implicitly assume these embedding…
Does Head Label Help for Long-Tailed Multi-Label Text Classification
Lin Xiao, Xiangliang Zhang, Liping Jing +2
Multi-label text classification (MLTC) aims to annotate documents with the most relevant labels from a number of candidate labels. In real applications, the distribution of label f…
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition
Di Hu, Xuhong Li, Lichao Mou +5
Aerial scene recognition is a fundamental task in remote sensing and has recently received increased interest. While the visual information from overhead images with powerful model…
Hyperbolic Interaction Model For Hierarchical Multi-Label Classification
Boli Chen, Xin Huang, Lin Xiao +2
Different from the traditional classification tasks which assume mutual exclusion of labels, hierarchical multi-label classification (HMLC) aims to assign multiple labels to every…
Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification
Xin Huang, Boli Chen, Lin Xiao +1
Extreme multi-label text classification (XMTC) aims at tagging a document with most relevant labels from an extremely large-scale label set. It is a challenging problem especially…
Attention, Please! Adversarial Defense via Activation Rectification and Preservation
Shangxi Wu, Jitao Sang, Kaiyuan Xu +2
This study provides a new understanding of the adversarial attack problem by examining the correlation between adversarial attack and visual attention change. In particular, we obs…
The Automatic Identification of Butterfly Species
Juanying Xie, Qi Hou, Yinghuan Shi +6
The available butterfly data sets comprise a few limited species, and the images in the data sets are always standard patterns without the images of butterflies in their living env…
DCAR: A Discriminative and Compact Audio Representation to Improve Event Detection
Liping Jing, Bo Liu, Jaeyoung Choi +4
This paper presents a novel two-phase method for audio representation, Discriminative and Compact Audio Representation (DCAR), and evaluates its performance at detecting events in…