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Vlad Pandelea

About Vlad Pandelea

Vlad Pandelea, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of Natural Language Processing, Deep Learning, Neural Networks, Artificial Intelligence, Sentic Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards resource-aware dialogue systems and sentiment analysis

PAED: Zero-shot persona attribute extraction in dialogues

Selecting Language Models Features VIA Software-Hardware Co-Design

Recent advances in deep learning based dialogue systems: A systematic survey

ECPEC: Emotion-cause pair extraction in conversations

Toward hardware-aware deep-learning-based dialogue systems

Hitkg: Towards goal-oriented conversations via multi-hierarchy learning

Fusing task-oriented and open-domain dialogues in conversational agents

Vlad Pandelea Information

University

Position

PhD student

Citations(all)

312

Citations(since 2020)

312

Cited By

12

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Vlad Pandelea Skills & Research Interests

Natural Language Processing

Deep Learning

Neural Networks

Artificial Intelligence

Sentic Computing

Top articles of Vlad Pandelea

Towards resource-aware dialogue systems and sentiment analysis

2024

Vlad Pandelea
Vlad Pandelea

H-Index: 1

PAED: Zero-shot persona attribute extraction in dialogues

2023/7

Luyao Zhu
Luyao Zhu

H-Index: 5

Wei Li
Wei Li

H-Index: 8

Rui Mao
Rui Mao

H-Index: 7

Vlad Pandelea
Vlad Pandelea

H-Index: 1

Erik Cambria
Erik Cambria

H-Index: 72

Selecting Language Models Features VIA Software-Hardware Co-Design

2023

Vlad Pandelea
Vlad Pandelea

H-Index: 1

Edoardo Ragusa
Edoardo Ragusa

H-Index: 7

Paolo Gastaldo
Paolo Gastaldo

H-Index: 16

Erik Cambria
Erik Cambria

H-Index: 72

Recent advances in deep learning based dialogue systems: A systematic survey

2023/4

Tom Young
Tom Young

H-Index: 7

Vlad Pandelea
Vlad Pandelea

H-Index: 1

Fuzhao Xue
Fuzhao Xue

H-Index: 2

Erik Cambria
Erik Cambria

H-Index: 72

ECPEC: Emotion-cause pair extraction in conversations

IEEE Transactions on Affective Computing

2022/10/21

Wei Li
Wei Li

H-Index: 8

Yang Li
Yang Li

H-Index: 4

Vlad Pandelea
Vlad Pandelea

H-Index: 1

Luyao Zhu
Luyao Zhu

H-Index: 5

Erik Cambria
Erik Cambria

H-Index: 72

Toward hardware-aware deep-learning-based dialogue systems

Neural Computing and Applications

2022/7/1

Vlad Pandelea
Vlad Pandelea

H-Index: 1

Edoardo Ragusa
Edoardo Ragusa

H-Index: 7

Tom Young
Tom Young

H-Index: 7

Paolo Gastaldo
Paolo Gastaldo

H-Index: 16

Erik Cambria
Erik Cambria

H-Index: 72

Hitkg: Towards goal-oriented conversations via multi-hierarchy learning

Proceedings of the AAAI conference on artificial intelligence

2022/6/28

Vlad Pandelea
Vlad Pandelea

H-Index: 1

Tom Young
Tom Young

H-Index: 7

Erik Cambria
Erik Cambria

H-Index: 72

Fusing task-oriented and open-domain dialogues in conversational agents

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Tom Young
Tom Young

H-Index: 7

Frank Xing
Frank Xing

H-Index: 9

Vlad Pandelea
Vlad Pandelea

H-Index: 1

Erik Cambria
Erik Cambria

H-Index: 72

Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes

IEEE Transactions on Neural Networks and Learning Systems

2022/5/13

Vlad Pandelea
Vlad Pandelea

H-Index: 1

Emotion recognition on edge devices: Training and deployment

Sensors

2021/6/30

Vlad Pandelea
Vlad Pandelea

H-Index: 1

Edoardo Ragusa
Edoardo Ragusa

H-Index: 7

Paolo Gastaldo
Paolo Gastaldo

H-Index: 16

Erik Cambria
Erik Cambria

H-Index: 72

Dialogue systems with audio context

Neurocomputing

2020/5/7

Tom Young
Tom Young

H-Index: 7

Vlad Pandelea
Vlad Pandelea

H-Index: 1

Soujanya Poria
Soujanya Poria

H-Index: 48

Erik Cambria
Erik Cambria

H-Index: 72

See List of Professors in Vlad Pandelea University(Nanyang Technological University)