Zheng Lian
I am an Assistant Professor at Institute of Automation, Chinese Academy of Sciences (CASIA).
I received the Ph.D degree from CASIA in 2021.
My research primarily centers on affective computing, multimodal learning and noisy label learning.
Recently, we aim to establish a new pathway toward more reliable and accurate affective computing techniques.
See EMER and AffectGPT for more details.
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News
We will continue to organize MER24 Challenge@IJCAI and MRAC24 Workshop@ACM Multimedia [link]
We extend the EMER task to open-vocabulary emotion recognition [link]
GPT-4V with Emotion is accepted by Information Fusion 2024
HiCMAE is accepted by Information Fusion 2024
Code of MERBench is merged into MERTools
We build MERBench, a unified evaluation benchmark for multimodal emotion recognition
We evaluate GPT-4V on 6 tasks and 21 datasets for multimodal emotion understanding [link]
We propose EMER and AffectGPT, aiming to establish more reliable affective computing techniques
Two papers are accepted by NeurIPS 2023
We organize MER23 Challenge and MRAC23 Workshop@ACM Multimedia [link]
GCNet is accepted by TPAMI 2023
MAE-DFER is accepted by ACM MM 2023
One paper is accepted by TAC 2023 [link]
PIRNet is accepted by TNNLS 2022
SMIN is accepted by TAC 2022
CTNet is accepted by TASLP 2021
Research
(* Equal contribution; † Corresponding author)
- Explainable Multimodal Emotion Reasoning
Zheng Lian, Licai Sun, Haiyang Sun, Hao Gu, Zhuofan Wen, Siyuan Zhang, Shun Chen, Mingyu Xu, Ke Xu, Lan Chen, Bin Liu, Jianhua Tao
Arxiv 2024 | paper
- GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion Recognition
Zheng Lian, Licai Sun, Haiyang Sun, Kang Chen, Zhuofan Wen, Hao Gu, Bin Liu, Jianhua Tao
Information Fusion 2024 | paper
- HiCMAE: Hierarchical Contrastive Masked Autoencoder for Self-Supervised Audio-Visual Emotion Recognition
Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao
Information Fusion 2024 | paper
- Can Deception Detection Go Deeper? Dataset, Evaluation, and Benchmark for Deception Reasoning
Kang Chen*, Zheng Lian*, Haiyang Sun, Bin Liu, Jianhua Tao
Arxiv 2024 | paper
- Pseudo Labels Regularization for Imbalanced Partial-Label Learning
Mingyu Xu, Zheng Lian, Bin Liu, Zerui Chen, Jianhua Tao
ICASSP 2024 | paper
- NLoPT: N-gram Enhanced Low-Rank Task Adaptive Pre-training for Efficient Language Model Adaption
Hao Gu, Jiangyan Yi, Zheng Lian, Jianhua Tao, Xinrui Yan
LREC-COLING 2024
- Contrastive Learning based Modality-Invariant Feature Acquisition for Robust Multimodal Emotion Recognition with Missing Modalities
Rui Liu, Haolin Zuo, Zheng Lian, Björn W. Schuller, Haizhou Li
IEEE Transactions on Affective Computing 2024 | paper
- MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition
Zheng Lian, Licai Sun, Yong Ren, Hao Gu, Haiyang Sun, Lan Chen, Bin Liu, Jianhua Tao
Arxiv 2023 | paper
- GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation
Zheng Lian, Lan Chen, Licai Sun, Bin Liu, Jianhua Tao
Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023 | paper
- MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning
Zheng Lian, Haiyang Sun, Licai Sun, Kang Chen, Mingyu Xu, Kexin Wang, etc.
ACM Multimedia (Organize Grand Challenge) 2023 | paper
- ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning
Mingyu Xu*, Zheng Lian*, Lei Feng, Bin Liu, Jianhua Tao
NeurIPS 2023 | paper
- VRA: Variational Rectified Activation for Out-of-distribution Detection
Mingyu Xu, Zheng Lian†, Bin Liu, Jianhua Tao
NeurIPS 2023 | paper
- MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition
Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao
ACM Multimedia 2023 | paper
- Efficient multimodal transformer with dual-level feature restoration for robust multimodal sentiment analysis
Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao
IEEE Transactions on Affective Computing (TAC) 2023 | paper
- EmotionNAS: Two-stream Architecture Search for Speech Emotion Recognition
Haiyang Sun*, Zheng Lian*, Bin Liu, Ying Li, Licai Sun, Cong Cai, Jianhua Tao, Meng Wang, Yuan Cheng
Interspeech 2023 | paper
- PIRNet: Personality-enhanced Iterative Refinement Network for Emotion Recognition in Conversation
Zheng Lian, Bin Liu, Jianhua Tao
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2022 | Early Access
- SMIN: Semi-supervised Multi-modal Interaction Network for Conversational Emotion Recognition
Zheng Lian, Bin Liu, Jianhua Tao
IEEE Transactions on Affective Computing (TAC) 2022 | paper
- DECN: Dialogical Emotion Correction Network for Conversational Emotion Recognition
Zheng Lian, Bin Liu, Jianhua Tao
Neurocomputing 2021 | paper
- CTNet: Conversational Transformer Network for Emotion Recognition
Zheng Lian, Bin Liu, Jianhua Tao
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP) 2021 | paper
- Towards Fine-Grained Prosody Control for Voice Conversion
Zheng Lian, Rongxiu Zhong, Zhengqi Wen, Bin Liu, Jianhua Tao
Proceedings of the 12th International Symposium on Chinese Spoken Language Processing (ISCSLP) 2021 | paper
- Multimodal Cross-and Self-Attention Network for Speech Emotion Recognition
Licai Sun, Bin Liu, Jianhua Tao, Zheng Lian
ICASSP 2021 | paper
- Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks
Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang, Zhanlei Yang, Rongjun Li
Interspeech 2020 | paper
- Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition
Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang, Zhanlei Yang, Rongjun Li
Interspeech 2020 | paper
- ARVC: An Auto-Regressive Voice Conversion System Without Parallel Training Data
Zheng Lian, Zhengqi Wen, Xinyong Zhou, Songbai Pu, Shengkai Zhang, Jianhua Tao
Interspeech 2020 | paper
- Learning Utterance-level Representations with Label Smoothing for Speech Emotion Recognition
Jian Huang, Jianhua Tao, Bin Liu, Zheng Lian
Interspeech 2020 | paper
- Multimodal Transformer Fusion for Continuous Emotion Recognition
Jian Huang, Jianhua Tao, Bin Liu, Zheng Lian, Mingyue Niu
ICASSP 2020 | paper
- Multimodal Spatiotemporal Representation for Automatic Depression Level Detection
Mingyue Niu, Jianhua Tao, Bin Liu, Jian Huang, Zheng Lian
IEEE Transactions on Affective Computing (TAC) 2020 | paper
- Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition
Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang
Interspeech 2019 | paper
- Conversational Emotion Analysis via Attention Mechanisms
Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang
Interspeech 2019 | paper
- Discriminative video representation with temporal order for micro-expression recognition
Mingyue Niu, Jianhua Tao, Ya Li, Jian Huang, Zheng Lian
ICASSP 2019 | paper
- End-to-End Continuous Emotion Recognition from Video Using 3D ConvLSTM Networks
Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Jiangyan Yi
ICASSP 2018 | paper
- Speech Emotion Recognition from Variable-Length Inputs with Triplet Loss Function
Jian Huang, Ya Li, Jianhua Tao, Zheng Lian
Interspeech 2018 | paper
Awards
2023, Best Poster in the First CSIG Conference on Emotional Intelligence
2023, 1st Place in the MEGC Challenge@ACM MM
2023, Outstanding Reviewer of ICASSP
2022, 1st Place in the MuSe Challenge@ACM MM
2021, The First Prize for Technological Invention of Chinese Institute of Electronics
2021, Best Paper for National Conference on Man-Machine Speech Communication (NCMMSC)
2021, 1st Place in the MuSe Challenge@ACM MM
2021, Climbing First-class Scholarship of Institute of Automation, Chinese Academy of Sciences
2020, 1st Place in the MuSe Challenge@ACM MM
2020, Interspeech Travel Grand
2020, 2nd Place in the Voice Conversion Challenge@Interspeech
2019, 2nd Place in the AVEC Challenge@ACM MM
2018, 2nd Place in the AVEC Challenge@ACM MM
Academic Services
Organize MER@ACM MM Grand Challenge and MRAC@ACM MM Workshop, 2023
Committee Member, Chinese Society of Image and Graphics, Emotional Computing and Understanding Committee(2021-)
Committee Member, Chinese Information Processing Society of China, Emotional Computing Committee(2021-)
Committee Member, Chinese Association for Artificial Intelligence, Emotional Intelligence Committee(2021-)
Reviewers for TAC, TNNLS, TASLP, TOMM, TCSVT, TALLIP, IEEE Signal Processing Magazine, Information Fusion, Pattern Recognition, ACM Multimedia, ICASSP, Interspeech, ISCSLP, etc
Projects
- National Natural Science Foundation of China, Youth Science Fund Project, Research on Emotion Recognition Method for Interactive Scenes (Grant No. 62201572), 2023/1/1~2025/12/31, Host
Patents
- Dialogue emotion correction method based on graph neural network (US Patent No. 17472511), 2022/08/25 Link
Jianhua Tao, Zheng Lian, Bin Liu, Xuefei Liu
- Automatic lie detection method and apparatus for interactive scenarios, device and medium (US Patent No. 11238289), 2022/02/01 Link
Jianhua Tao, Zheng Lian, Bin Liu, Licai Sun
- Multimodal dimensional emotion recognition method (US Patent No. 11281945), 2022/03/22 Link
Jianhua Tao, Licai Sun, Bin Liu, Zheng Lian
- Multi-modal lie detection method and apparatus, and device (US Patent No. 11244119), 2022/02/08 Link
Jianhua Tao, Licai Sun, Bin Liu, Zheng Lian
- Expression recognition method under natural scene (US Patent No. 11216652), 2022/01/04 Link
Jianhua Tao, Mingyuan Xiao, Bin Liu, Zheng Lian