Jiangnan Li | DeepAI

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Featured Co-authors

Jie Zhou
349 publications
Fandong Meng
114 publications
Rui Liu
95 publications
Mo Yu
88 publications
Liang Li
72 publications
Weiping Wang
63 publications
Yu Zhao
61 publications
Hairong Qi
35 publications
Zheng Lin
28 publications
Shunyu Yao
20 publications
Peng Fu
20 publications

∙ 08/31/2023

Separate and Locate: Rethink the Text in Text-based Visual Question Answering

Text-based Visual Question Answering (TextVQA) aims at answering questio...

0 Chengyang Fang, et al. ∙

∙ 05/17/2023

Personality Understanding of Fictional Characters during Book Reading

Comprehending characters' personalities is a crucial aspect of story rea...

0 Mo Yu, et al. ∙

∙ 01/29/2023

Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid

Deep Neural Networks have proven to be highly accurate at a variety of t...

0 Farhin Farhad Riya, et al. ∙

∙ 10/26/2022

Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension

In this work, we focus on dialogue reading comprehension (DRC), a task e...

0 Jiangnan Li, et al. ∙

∙ 10/21/2022

Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection

Empathy, which is widely used in psychological counselling, is a key tra...

0 Lanrui Wang, et al. ∙

∙ 10/11/2022

A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models

Despite the remarkable success of pre-trained language models (PLMs), th...

0 Yuanxin Liu, et al. ∙

∙ 05/02/2022

Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge

Conversational Causal Emotion Entailment aims to detect causal utterance...

0 Jiangnan Li, et al. ∙

∙ 02/17/2021

Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids

False data injection attack (FDIA) is a critical security issue in power...

0 Jiangnan Li, et al. ∙

∙ 12/29/2020

A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in Conversation

Emotion Recognition in Conversation (ERC) is a more challenging task tha...

0 Jiangnan Li, et al. ∙

∙ 12/03/2020

Learning Disentangled Intent Representations for Zero-shot Intent Detection

Zero-shot intent detection (ZSID) aims to deal with the continuously eme...

0 Qingyi Si, et al. ∙

∙ 10/16/2020

Exploiting Vulnerabilities of Deep Learning-based Energy Theft Detection in AMI through Adversarial Attacks

Effective detection of energy theft can prevent revenue losses of utilit...

0 Jiangnan Li, et al. ∙

∙ 06/15/2020

BubbleMap: Privilege Mapping for Behavior-based Implicit Authentication Systems

Implicit authentication (IA) is gaining popularity over recent years due...

0 Yingyuan Yang, et al. ∙

∙ 06/02/2020

SearchFromFree: Adversarial Measurements for Machine Learning-based Energy Theft Detection

Energy theft causes large economic losses to utility companies around th...

0 Jiangnan Li, et al. ∙

∙ 03/12/2020

ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems

Recent research demonstrated that the superficially well-trained machine...

0 Jiangnan Li, et al. ∙

∙ 05/15/2019

SmartBullets: A Cloud-Assisted Bullet Screen Filter based on Deep Learning

Bullet-screen is a technique that enables the website users to send real...

0 Haoran Niu, et al. ∙

∙ 08/02/2018

A Practical Searchable Symmetric Encryption Scheme for Smart Grid Data

Outsourcing data storage to remote cloud can be an economical solution t...

0 Jiangnan Li, et al. ∙

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