Zheng Lian
I am an Associate Professor at the Institute of Automation, Chinese Academy of Sciences.
My research interest primarily centers on human-centric AI and affective computing.
My short-term goal is to establish a new pathway toward more reliable and accurate emotion recognition techniques.
Please refer to our proposed EMER, AffectGPT, OV-MER for more details.
My long-term goal is to enhance real-world human-AI interaction, ensuring robustness, trust, privacy, and efficiency for responsible deployment.
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Job Openings: I am recruiting visiting students in Institute of Automation, Chinese Academy of Sciences.
[Oct, 2024] We extend the EMER task to Open-vocabulary MER [link]
[Sep, 2024] Emotion-LLaMA is accepted by NeurIPS2024
[Aug, 2024] We organize MEIJU'25 Challenge@ICASSP [link]
[Jul, 2024] SVFAP is accepted by TAC
[Jul, 2024] We update AffectGPT and build EMER-Corase dataset to promote the development of EMER [link]
[Apr, 2024] We organize MER'24 Challenge@IJCAI and MRAC'24 Workshop@ACM Multimedia [link]
[Mar, 2024] HiCMAE is accepted by Information Fusion
[Mar, 2024] GPT-4V with Emotion is accepted by Information Fusion
[Jan, 2024] We build MERBench, a unified evaluation benchmark for multimodal emotion recognition
[Dec, 2023] We evaluate GPT-4V on 6 tasks and 21 datasets for multimodal emotion understanding [link]
[Nov, 2023] Two papers are accepted by NeurIPS
[Oct, 2023] MAE-DFER is accepted by ACM MM
[Aug, 2023] We propose EMER and AffectGPT for more reliable affective computing techniques
[Apr, 2023] We organize MER'23 Challenge and MRAC'23 Workshop@ACM Multimedia [link]
[May, 2023] EMT-DLFR is accepted by TAC
[Jan, 2023] GCNet is accepted by TPAMI
[Jul, 2022] PIRNet is accepted by TNNLS
[Jan, 2022] SMIN is accepted by TAC
[Jan, 2021] CTNet is accepted by TASLP
Research
(* Equal contribution; † Corresponding author)
- Open-vocabulary Multimodal Emotion Recognition: Dataset, Metric, and Benchmark
Zheng Lian, Haiyang Sun, Licai Sun, Lan Chen, Haoyu Chen, Hao Gu, Zhuofan Wen, Shun Chen, Siyuan Zhang, Hailiang Yao, Mingyu Xu, Kang Chen, Bin Liu, Rui Liu, Shan Liang, Ya Li, Jiangyan Yi, Jianhua Tao
Arxiv 2024 | paper
- AffectGPT: Dataset and Framework for Explainable Multimodal Emotion Recognition
Zheng Lian, Haiyang Sun, Licai Sun, Jiangyan Yi, Bin Liu, Jianhua Tao
Arxiv 2024 | paper
- Explainable Multimodal Emotion Recognition
Zheng Lian, Haiyang Sun, Licai Sun, Hao Gu, Zhuofan Wen, Siyuan Zhang, etc.
Arxiv 2024 | paper
- MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition
Zheng Lian, Haiyang Sun, Licai Sun, Zhuofan Wen, Siyuan Zhang, Shun Chen, Hao Gu, etc.
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
- Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning
Zebang Cheng, Zhi-Qi Cheng, Jun-Yan He, Jingdong Sun, Kai Wang, Yuxiang Lin, Zheng Lian, Xiaojiang Peng, Alexander Hauptmann
NeurIPS 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
- SVFAP: Self-supervised Video Facial Affect Perceiver
Licai Sun, Zheng Lian, Kexin Wang, Yu He, Mingyu Xu, Haiyang Sun, Bin Liu, Jianhua Tao
IEEE Transactions on Affective Computing (TAC) 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 (TAC) 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
2024, Winner in the MuSe Challenge@ACM MM
2023, Best Poster in the First CSIG Conference on Emotional Intelligence
2023, Winner in the MEGC Challenge@ACM MM
2023, Outstanding Reviewer of ICASSP
2022, Winner 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, Winner in the MuSe Challenge@ACM MM
2021, Climbing First-class Scholarship of Institute of Automation, Chinese Academy of Sciences
2020, Winner in the MuSe Challenge@ACM MM
2020, Interspeech Travel Grand
2020, Winner in Voice Conversion Challenge@Interspeech
2019, 2nd Place in the AVEC Challenge@ACM MM
2018, 2nd Place in the AVEC Challenge@ACM MM
Academic Services
Co-organize MEIJU'25 Challenge@ICASSP, 2025
Co-organize MER'24 Challenge@IJCAI and MRAC'24 Workshop@ACM MM, 2024
Co-organize MER'23 Challenge@ACM MM and MRAC'23 Workshop@ACM MM, 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-)
Executive Committee Member, Speech Dialogue and Auditory Professional Committee, China Computer Federation (CCF)(2024-)
Session Chair: ISCSLP
Conference Program Committee: NeurIPS, ICLR, AAAI, ACL ARR, ACM Multimedia, ICASSP, Interspeech, etc
Journal Reviewer: IJCV, TAC, TNNLS, TASLP, TOMM, TCSVT, TALLIP, IEEE Signal Processing Magazine, Information Fusion, Pattern Recognition, etc
Projects
- National Natural Science Foundation of China, Youth Science Fund Project, 2023/1~2025/12, Host ¥300,000
- Chinese Academy of Sciences, 2023/1~2023/12, Host ¥500,000 (Total ¥9,600,000)
- National Natural Science Foundation of China, 2023/1~2026/12, Host ¥60,000 (Total ¥560,000)
- Outstanding Youth Fund of State Key Laboratory of Multimodal Artificial Intelligence Systems, 2024/12~2025/12, Host ¥100,000
Patents
- Dialogue emotion correction method based on graph neural network (US Patent No. 12100418), 2024/09/24 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