Zheng Lian

Orcid: 0000-0003-0682-7589

According to our database1, Zheng Lian authored at least 80 papers between 2017 and 2024.

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Bibliography

2024
PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Efficient Multimodal Transformer With Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis.
IEEE Trans. Affect. Comput., 2024

Multimodal Fusion with Pre-Trained Model Features in Affective Behaviour Analysis In-the-wild.
CoRR, 2024

Can Deception Detection Go Deeper? Dataset, Evaluation, and Benchmark for Deception Reasoning.
CoRR, 2024

HiCMAE: Hierarchical Contrastive Masked Autoencoder for Self-Supervised Audio-Visual Emotion Recognition.
CoRR, 2024

MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition.
CoRR, 2024

SVFAP: Self-supervised Video Facial Affect Perceiver.
CoRR, 2024

2023
Inference, Optimization, and Analysis of an Evidential Reasoning Rule-Based Modeling Approach.
IEEE Trans. Aerosp. Electron. Syst., August, 2023

GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Fault Diagnosis for Complex Equipment Based on Belief Rule Base with Adaptive Nonlinear Membership Function.
Entropy, March, 2023

Cross modification attention-based deliberation model for image captioning.
Appl. Intell., March, 2023

The Signal Characteristics of Oil and Gas Pipeline Leakage Detection Based on Magneto-Mechanical Effects.
Sensors, February, 2023

Multimodal Spatiotemporal Representation for Automatic Depression Level Detection.
IEEE Trans. Affect. Comput., 2023

SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition.
IEEE Trans. Affect. Comput., 2023

RMNAS: A Multimodal Neural Architecture Search Framework For Robust Multimodal Sentiment Analysis.
CoRR, 2023

GPT-4V with Emotion: A Zero-shot Benchmark for Multimodal Emotion Understanding.
CoRR, 2023

Learning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Realistic Incomplete Data Scenarios.
CoRR, 2023

MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition.
CoRR, 2023

Explainable Multimodal Emotion Reasoning.
CoRR, 2023

MFAS: Emotion Recognition through Multiple Perspectives Fusion Architecture Search Emulating Human Cognition.
CoRR, 2023

ADD 2023: the Second Audio Deepfake Detection Challenge.
CoRR, 2023

MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning.
CoRR, 2023

Pseudo Labels Regularization for Imbalanced Partial-Label Learning.
CoRR, 2023

VRA: Out-of-Distribution Detection with variational rectified activations.
CoRR, 2023

DALI: Dynamically Adjusted Label Importance for Noisy Partial Label Learning.
CoRR, 2023

VRA: Variational Rectified Activation for Out-of-distribution Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Humor Detection System for MuSE 2023: Contextual Modeling, Pesudo Labelling, and Post-smoothing.
Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, 2023

Exclusive Modeling for MuSe-Personalisation Challenge.
Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, 2023

Integrating VideoMAE based model and Optical Flow for Micro- and Macro-expression Spotting.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

MRAC'23: 1st International Workshop on Multimodal and Responsible Affective Computing.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

ADD 2023: the Second Audio Deepfake Detection Challenge.
Proceedings of the Workshop on Deepfake Audio Detection and Analysis co-located with 32th International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

2022
ARNet: Automatic Refinement Network for Noisy Partial Label Learning.
CoRR, 2022

Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis.
CoRR, 2022

Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge.
CoRR, 2022

EmotionNAS: Two-stream Architecture Search for Speech Emotion Recognition.
CoRR, 2022

ADD 2022: the First Audio Deep Synthesis Detection Challenge.
CoRR, 2022

Emotional Reaction Analysis based on Multi-Label Graph Convolutional Networks and Dynamic Facial Expression Recognition Transformer.
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022

Multimodal Temporal Attention in Sentiment Analysis.
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022

Improved RepVGG-based Anchor-free Algorithm for On-road Object Detection.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Prediction of Depression Severity Based on Transformer Encoder and CNN Model.
Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022

Context-Assisted Attention for Image Captioning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Two-Aspect Information Interaction Model for ABAW4 Multi-task Challenge.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

AMOA: Global Acoustic Feature Enhanced Modal-Order-Aware Network for Multimodal Sentiment Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Investigating the Characteristic of Weak Magnetic Stress Internal Detection Signals of Long-Distance Oil and Gas Pipeline Under Demagnetization Effect.
IEEE Trans. Instrum. Meas., 2021

CTNet: Conversational Transformer Network for Emotion Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

PLSMS model for restoration of the details concealed by light sources in nighttime hazed image.
Signal Image Video Process., 2021

DECN: Dialogical emotion correction network for conversational emotion recognition.
Neurocomputing, 2021

Correction to: Semi-supervised Ladder Networks for Speech Emotion Recognition.
Int. J. Autom. Comput., 2021

Multimodal Emotion Recognition and Sentiment Analysis via Attention Enhanced Recurrent Model.
Proceedings of the MuSe '21: Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, 2021

Multimodal Sentiment Analysis based on Recurrent Neural Network and Multimodal Attention.
Proceedings of the MuSe '21: Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, 2021

Towards Fine-Grained Prosody Control for Voice Conversion.
Proceedings of the 12th International Symposium on Chinese Spoken Language Processing, 2021

Multimodal Cross- and Self-Attention Network for Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

Short Text Clustering with a Deep Multi-embedded Self-supervised Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Expression Analysis Based on Face Regions in Real-world Conditions.
Int. J. Autom. Comput., 2020

Multi-modal Continuous Dimensional Emotion Recognition Using Recurrent Neural Network and Self-Attention Mechanism.
Proceedings of the MuSe'20: Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop, 2020

ARVC: An Auto-Regressive Voice Conversion System Without Parallel Training Data.
Proceedings of the Interspeech 2020, 2020

Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks.
Proceedings of the Interspeech 2020, 2020

Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition.
Proceedings of the Interspeech 2020, 2020

Learning Utterance-Level Representations with Label Smoothing for Speech Emotion Recognition.
Proceedings of the Interspeech 2020, 2020

Enhanced soft attention mechanism with an inception-like module for image captioning.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Proxy Re-Encryption Scheme For Complicated Access Control Factors Description in Hybrid Cloud.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Multimodal Transformer Fusion for Continuous Emotion Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Semi-supervised Ladder Networks for Speech Emotion Recognition.
Int. J. Autom. Comput., 2019

Expression Analysis Based on Face Regions in Read-world Conditions.
CoRR, 2019

Domain adversarial learning for emotion recognition.
CoRR, 2019

Towards Fine-Grained Prosody Control for Voice Conversion.
CoRR, 2019

Speech Emotion Recognition via Contrastive Loss under Siamese Networks.
CoRR, 2019

Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition.
Proceedings of the Interspeech 2019, 2019

Conversational Emotion Analysis via Attention Mechanisms.
Proceedings of the Interspeech 2019, 2019

Discriminative Video Representation with Temporal Order for Micro-expression Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition.
CoRR, 2018

Deep Learning for Continuous Multiple Time Series Annotations.
Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, 2018

Multimodal Continuous Emotion Recognition with Data Augmentation Using Recurrent Neural Networks.
Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, 2018

End-to-End Continuous Emotion Recognition from Video Using 3D Convlstm Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Continuous Multimodal Emotion Prediction Based on Long Short Term Memory Recurrent Neural Network.
Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, Mountain View, CA, USA, October 23, 2017


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