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2020 – today
- 2025
[j17]Licai Sun, Zheng Lian, Kexin Wang, Yu He, Mingyu Xu, Haiyang Sun, Bin Liu, Jianhua Tao:
SVFAP: Self-Supervised Video Facial Affect Perceiver. IEEE Trans. Affect. Comput. 16(1): 405-422 (2025)- [j16]Bin Liu, Yuze Liu, Zheng Lian, Zihan Wu, Luyao He, Lijian Yang:
A Reconstruction Method for Weak Magnetic Pipeline Inspection Signals Based on Adaptive Multiscale Signal Reconstruction. IEEE Trans. Instrum. Meas. 74: 1-16 (2025) - [c43]Zhuofan Wen, Zheng Lian, Shun Chen, Hailiang Yao, Longjiang Yang, Bin Liu, Jianhua Tao:
Listen, Watch, and Learn to Feel: Retrieval-Augmented Emotion Reasoning for Compound Emotion Generation. ACL (Findings) 2025: 11313-11327 - [c42]Rui Liu, Xiaofen Xing, Zheng Lian, Haizhou Li, Björn W. Schuller, Haolin Zuo:
MEIJU - The 1st Multimodal Emotion and Intent Joint Understanding Challenge. ICASSP 2025: 1-2 - [c41]Siding Zeng, Jiangyan Yi, Jianhua Tao, Jiayi He, Zheng Lian, Shan Liang, Chuyuan Zhang, Yujie Chen, Xiaohui Zhang:
Adversarial Training and Gradient Optimization for Partially Deepfake Audio Localization. ICASSP 2025: 1-5 - [i40]Zheng Lian, Haoyu Chen, Lan Chen, Haiyang Sun, Licai Sun, Yong Ren, Zebang Cheng, Bin Liu, Rui Liu, Xiaojiang Peng, Jiangyan Yi, Jianhua Tao:
AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models. CoRR abs/2501.16566 (2025) - [i39]Ran Liu, Fengyu Zhang, Cong Yu, Longjiang Yang, Zhuofan Wen, Siyuan Zhang, Hailiang Yao, Shun Chen, Zheng Lian, Bin Liu:
Feature-Based Dual Visual Feature Extraction Model for Compound Multimodal Emotion Recognition. CoRR abs/2503.17453 (2025) - [i38]Yong Ren, Jiangyan Yi, Tao Wang, Jianhua Tao, Zhengqi Wen, Chenxing Li, Zheng Lian, Ruibo Fu, Ye Bai, Xiaohui Zhang:
P2Mark: Plug-and-play Parameter-intrinsic Watermarking for Neural Speech Generation. CoRR abs/2504.05197 (2025) - [i37]Zheng Lian, Rui Liu, Kele Xu, Bin Liu, Xuefei Liu, Yazhou Zhang, Xin Liu, Yong Li, Zebang Cheng, Haolin Zuo, Ziyang Ma, Xiaojiang Peng, Xie Chen, Ya Li, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao:
MER 2025: When Affective Computing Meets Large Language Models. CoRR abs/2504.19423 (2025) - [i36]Hao Gu, Jiangyan Yi, Chenglong Wang, Jianhua Tao, Zheng Lian, Jiayi He, Yong Ren, Yujie Chen, Zhengqi Wen:
𝒜LLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection. CoRR abs/2505.11079 (2025) - [i35]Ziyang Ma, Yinghao Ma, Yanqiao Zhu, Chen Yang, Yi-Wen Chao, Ruiyang Xu, Wenxi Chen, Yuanzhe Chen, Zhuo Chen, Jian Cong, Kai Li, Keliang Li, Siyou Li, Xinfeng Li, Xiquan Li, Zheng Lian, Yuzhe Liang, Minghao Liu, Zhikang Niu, Tianrui Wang, Yuping Wang, Yuxuan Wang, Yihao Wu, Guanrou Yang, Jianwei Yu, Ruibin Yuan, Zhisheng Zheng, Ziya Zhou, Haina Zhu, Wei Xue, Emmanouil Benetos, Kai Yu, Chng Eng Siong, Xie Chen:
MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix. CoRR abs/2505.13032 (2025) - [i34]Zheng Lian, Licai Sun, Haoyu Chen, Zebang Cheng, Fan Zhang, Ziyu Jia, Ziyang Ma, Fei Ma, Xiaojiang Peng, Jianhua Tao:
EMER-Ranker: Learning to Rank Emotion Descriptions in the Absence of Ground Truth. CoRR abs/2507.04278 (2025) - [i33]Licai Sun, Xingxun Jiang, Haoyu Chen, Yante Li, Zheng Lian, Biu Liu, Yuan Zong, Wenming Zheng, Jukka M. Leppänen, Guoying Zhao:
Learning Transferable Facial Emotion Representations from Large-Scale Semantically Rich Captions. CoRR abs/2507.21015 (2025) - [i32]Rui Liu, Haolin Zuo, Zheng Lian, Hongyu Yuan, Qi Fan:
Hardness-Aware Dynamic Curriculum Learning for Robust Multimodal Emotion Recognition with Missing Modalities. CoRR abs/2508.06800 (2025) - 2024
- [j15]Zheng Lian, Licai Sun, Haiyang Sun, Kang Chen, Zhuofan Wen, Hao Gu, Bin Liu, Jianhua Tao:
GPT-4V with emotion: A zero-shot benchmark for Generalized Emotion Recognition. Inf. Fusion 108: 102367 (2024) - [j14]Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao:
HiCMAE: Hierarchical Contrastive Masked Autoencoder for self-supervised Audio-Visual Emotion Recognition. Inf. Fusion 108: 102382 (2024) - [j13]Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao:
Efficient Multimodal Transformer With Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis. IEEE Trans. Affect. Comput. 15(1): 309-325 (2024) - [j12]Rui Liu, Haolin Zuo, Zheng Lian, Björn W. Schuller, Haizhou Li:
Contrastive Learning Based Modality-Invariant Feature Acquisition for Robust Multimodal Emotion Recognition With Missing Modalities. IEEE Trans. Affect. Comput. 15(4): 1856-1873 (2024) - [j11]Zheng Lian, Bin Liu, Jianhua Tao:
PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2863-2874 (2024) - [c40]Hao Gu, Jiangyan Yi, Zheng Lian, Jianhua Tao, Xinrui Yan:
NLoPT: N-gram Enhanced Low-Rank Task Adaptive Pre-training for Efficient Language Model Adaption. LREC/COLING 2024: 12259-12270 - [c39]Mingyu Xu, Zheng Lian, Bin Liu, Zerui Chen, Jianhua Tao:
Pseudo Labels Regularization for Imbalanced Partial-Label Learning. ICASSP 2024: 6305-6309 - [c38]Haiyang Sun, Fulin Zhang, Yingying Gao, Shilei Zhang, Zheng Lian, Junlan Feng:
MFSN: Multi-perspective Fusion Search Network For Pre-training Knowledge in Speech Emotion Recognition. INTERSPEECH 2024 - [c37]Zheng Lian, Bin Liu, Rui Liu, Kele Xu, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao:
MRAC'24 Track 2: 2nd International Workshop on Multimodal and Responsible Affective Computing. MRAC@MM 2024: 39-40 - [c36]Zheng Lian, Haiyang Sun, Licai Sun, Zhuofan Wen, Siyuan Zhang, Shun Chen, Hao Gu, Jinming Zhao, Ziyang Ma, Xie Chen, Jiangyan Yi, Rui Liu, Kele Xu, Bin Liu, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao:
MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition. MRAC@MM 2024: 41-48 - [c35]Qi Fan, Haolin Zuo, Rui Liu, Zheng Lian, Guanglai Gao:
Learning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Incomplete Data Scenarios. MRAC@MM 2024: 116-124 - [c34]Zhuofan Wen, Hailiang Yao, Shun Chen, Haiyang Sun, Mingyu Xu, Licai Sun, Zheng Lian, Bin Liu, Fengyu Zhang, Siyuan Zhang, Jianhua Tao:
Social Perception Prediction for MuSe 2024: Joint Learning of Multiple Perceptions. MuSe@ACM Multimedia 2024: 52-59 - [c33]Shun Chen, Hailiang Yao, Mingyu Xu, Zhuofan Wen, Haiyang Sun, Licai Sun, Zheng Lian, Bin Liu, Fengyu Zhang, Siyuan Zhang, Jianhua Tao:
DPP: A Dual-Phase Processing Method for Cross-Cultural Humor Detection. MuSe@ACM Multimedia 2024: 70-78 - [e1]Jianhua Tao, Shreya Ghosh, Zheng Lian, Zhixi Cai, Björn W. Schuller, Abhinav Dhall, Guoying Zhao, Dimitrios Kollias, Erik Cambria, Roland Goecke, Tom Gedeon:
Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing, MRAC 2024, Melbourne VIC, Australia, 28 October 2024- 1 November 2024. ACM 2024, ISBN 979-8-4007-1203-6 [contents] - [i31]Licai Sun, Zheng Lian, Kexin Wang, Yu He, Mingyu Xu, Haiyang Sun, Bin Liu, Jianhua Tao:
SVFAP: Self-supervised Video Facial Affect Perceiver. CoRR abs/2401.00416 (2024) - [i30]Zheng Lian, Licai Sun, Yong Ren, Hao Gu, Haiyang Sun, Lan Chen, Bin Liu, Jianhua Tao:
MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition. CoRR abs/2401.03429 (2024) - [i29]Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao:
HiCMAE: Hierarchical Contrastive Masked Autoencoder for Self-Supervised Audio-Visual Emotion Recognition. CoRR abs/2401.05698 (2024) - [i28]Kang Chen, Zheng Lian, Haiyang Sun, Bin Liu, Jianhua Tao:
Can Deception Detection Go Deeper? Dataset, Evaluation, and Benchmark for Deception Reasoning. CoRR abs/2402.11432 (2024) - [i27]Zhuofan Wen, Fengyu Zhang, Siyuan Zhang, Haiyang Sun, Mingyu Xu, Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao:
Multimodal Fusion with Pre-Trained Model Features in Affective Behaviour Analysis In-the-wild. CoRR abs/2403.15044 (2024) - [i26]Zheng Lian, Haiyang Sun, Licai Sun, Zhuofan Wen, Siyuan Zhang, Shun Chen, Hao Gu, Jinming Zhao, Ziyang Ma, Xie Chen, Jiangyan Yi, Rui Liu, Kele Xu, Bin Liu, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao:
MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition. CoRR abs/2404.17113 (2024) - [i25]Rui Liu, Haolin Zuo, Zheng Lian, Xiaofen Xing, Björn W. Schuller, Haizhou Li:
Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset. CoRR abs/2407.02751 (2024) - [i24]Zheng Lian, Haiyang Sun, Licai Sun, Jiangyan Yi, Bin Liu, Jianhua Tao:
AffectGPT: Dataset and Framework for Explainable Multimodal Emotion Recognition. CoRR abs/2407.07653 (2024) - [i23]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:
Open-vocabulary Multimodal Emotion Recognition: Dataset, Metric, and Benchmark. CoRR abs/2410.01495 (2024) - 2023
- [j10]Zheng Lian, Lan Chen, Licai Sun, Bin Liu, Jianhua Tao:
GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8419-8432 (2023) - [j9]Bin Liu, Qian Ge, Zihan Wu, Zheng Lian, Lijian Yang, Hao Geng:
The Signal Characteristics of Oil and Gas Pipeline Leakage Detection Based on Magneto-Mechanical Effects. Sensors 23(4): 1857 (2023) - [j8]Mingyue Niu, Jianhua Tao, Bin Liu, Jian Huang, Zheng Lian:
Multimodal Spatiotemporal Representation for Automatic Depression Level Detection. IEEE Trans. Affect. Comput. 14(1): 294-307 (2023) - [j7]Zheng Lian, Bin Liu, Jianhua Tao:
SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition. IEEE Trans. Affect. Comput. 14(3): 2415-2429 (2023) - [c32]Jiangyan Yi, Jianhua Tao, Ruibo Fu, Xinrui Yan, Chenglong Wang, Tao Wang, Chu Yuan Zhang, Xiaohui Zhang, Yan Zhao, Yong Ren, Le Xu, Junzuo Zhou, Hao Gu, Zhengqi Wen, Shan Liang, Zheng Lian, Shuai Nie, Haizhou Li:
ADD 2023: the Second Audio Deepfake Detection Challenge. DADA@IJCAI 2023: 125-130 - [c31]Haiyang Sun, Zheng Lian, Bin Liu, Ying Li, Jianhua Tao, Licai Sun, Cong Cai, Meng Wang, Yuan Cheng:
EmotionNAS: Two-stream Neural Architecture Search for Speech Emotion Recognition. INTERSPEECH 2023: 3597-3601 - [c30]Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao:
MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition. ACM Multimedia 2023: 6110-6121 - [c29]Ke Xu, Kang Chen, Licai Sun, Zheng Lian, Bin Liu, Gong Chen, Haiyang Sun, Mingyu Xu, Jianhua Tao:
Integrating VideoMAE based model and Optical Flow for Micro- and Macro-expression Spotting. ACM Multimedia 2023: 9576-9580 - [c28]Zheng Lian, Haiyang Sun, Licai Sun, Kang Chen, Mingyu Xu, Kexin Wang, Ke Xu, Yu He, Ying Li, Jinming Zhao, Ye Liu, Bin Liu, Jiangyan Yi, Meng Wang, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao:
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning. ACM Multimedia 2023: 9610-9614 - [c27]Zheng Lian, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao:
MRAC'23: 1st International Workshop on Multimodal and Responsible Affective Computing. ACM Multimedia 2023: 9713-9714 - [c26]Mingyu Xu, Shun Chen, Zheng Lian, Bin Liu:
Humor Detection System for MuSE 2023: Contextual Modeling, Pesudo Labelling, and Post-smoothing. MuSe@ACM Multimedia 2023: 35-41 - [c25]Haiyang Sun, Zhuofan Wen, Mingyu Xu, Zheng Lian, Licai Sun, Bin Liu, Jianhua Tao:
Exclusive Modeling for MuSe-Personalisation Challenge. MuSe@ACM Multimedia 2023: 73-80 - [c24]Mingyu Xu, Zheng Lian, Lei Feng, Bin Liu, Jianhua Tao:
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning. NeurIPS 2023 - [c23]Mingyu Xu, Zheng Lian, Bin Liu, Jianhua Tao:
VRA: Variational Rectified Activation for Out-of-distribution Detection. NeurIPS 2023 - [i22]Mingyu Xu, Zheng Lian, Lei Feng, Bin Liu, Jianhua Tao:
DALI: Dynamically Adjusted Label Importance for Noisy Partial Label Learning. CoRR abs/2301.12077 (2023) - [i21]Zheng Lian, Haiyang Sun, Licai Sun, Jinming Zhao, Ye Liu, Bin Liu, Jiangyan Yi, Meng Wang, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao:
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning. CoRR abs/2304.08981 (2023) - [i20]Jiangyan Yi, Jianhua Tao, Ruibo Fu, Xinrui Yan, Chenglong Wang, Tao Wang, Chu Yuan Zhang, Xiaohui Zhang, Yan Zhao, Yong Ren, Le Xu, Junzuo Zhou, Hao Gu, Zhengqi Wen, Shan Liang, Zheng Lian, Shuai Nie, Haizhou Li:
ADD 2023: the Second Audio Deepfake Detection Challenge. CoRR abs/2305.13774 (2023) - [i19]Haiyang Sun, Fulin Zhang, Zheng Lian, Yingying Guo, Shilei Zhang:
MFAS: Emotion Recognition through Multiple Perspectives Fusion Architecture Search Emulating Human Cognition. CoRR abs/2306.09361 (2023) - [i18]Zheng Lian, Licai Sun, Mingyu Xu, Haiyang Sun, Ke Xu, Zhuofan Wen, Shun Chen, Bin Liu, Jianhua Tao:
Explainable Multimodal Emotion Reasoning. CoRR abs/2306.15401 (2023) - [i17]Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao:
MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition. CoRR abs/2307.02227 (2023) - [i16]Qi Fan, Haolin Zuo, Rui Liu, Zheng Lian, Guanglai Gao:
Learning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Realistic Incomplete Data Scenarios. CoRR abs/2311.16114 (2023) - [i15]Zheng Lian, Licai Sun, Haiyang Sun, Kang Chen, Zhuofan Wen, Hao Gu, Shun Chen, Bin Liu, Jianhua Tao:
GPT-4V with Emotion: A Zero-shot Benchmark for Multimodal Emotion Understanding. CoRR abs/2312.04293 (2023) - [i14]Haiyang Sun, Zheng Lian, Licai Sun, Bin Liu, Jianhua Tao:
RMNAS: A Multimodal Neural Architecture Search Framework For Robust Multimodal Sentiment Analysis. CoRR abs/2312.15583 (2023) - 2022
- [c22]Haiyang Sun, Zheng Lian, Bin Liu, Jianhua Tao, Licai Sun, Cong Cai, Yu He:
Two-Aspect Information Interaction Model for ABAW4 Multi-task Challenge. ECCV Workshops (6) 2022: 173-180 - [c21]Jiahao Lu, Bin Liu, Zheng Lian, Cong Cai, Jianhua Tao, Ziping Zhao:
Prediction of Depression Severity Based on Transformer Encoder and CNN Model. ISCSLP 2022: 339-343 - [c20]Yu He, Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao, Meng Wang, Yuan Cheng:
Multimodal Temporal Attention in Sentiment Analysis. MuSe @ ACM Multimedia 2022: 61-66 - [c19]Kexin Wang, Zheng Lian, Licai Sun, Bin Liu, Jianhua Tao, Yin Fan:
Emotional Reaction Analysis based on Multi-Label Graph Convolutional Networks and Dynamic Facial Expression Recognition Transformer. MuSe @ ACM Multimedia 2022: 75-80 - [i13]Jiangyan Yi, Ruibo Fu, Jianhua Tao, Shuai Nie, Haoxin Ma, Chenglong Wang, Tao Wang, Zhengkun Tian, Ye Bai, Cunhang Fan, Shan Liang, Shiming Wang, Shuai Zhang, Xinrui Yan, Le Xu, Zhengqi Wen, Haizhou Li, Zheng Lian, Bin Liu:
ADD 2022: the First Audio Deep Synthesis Detection Challenge. CoRR abs/2202.08433 (2022) - [i12]Zheng Lian, Lan Chen, Licai Sun, Bin Liu, Jianhua Tao:
GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation. CoRR abs/2203.02177 (2022) - [i11]Haiyang Sun, Zheng Lian, Bin Liu, Ying Li, Licai Sun, Cong Cai, Jianhua Tao, Meng Wang, Yuan Cheng:
EmotionNAS: Two-stream Architecture Search for Speech Emotion Recognition. CoRR abs/2203.13617 (2022) - [i10]Haiyang Sun, Zheng Lian, Bin Liu, Jianhua Tao, Licai Sun, Cong Cai:
Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge. CoRR abs/2207.11389 (2022) - [i9]Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao:
Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis. CoRR abs/2208.07589 (2022) - [i8]Zheng Lian, Mingyu Xu, Lan Chen, Licai Sun, Bin Liu, Jianhua Tao:
ARNet: Automatic Refinement Network for Noisy Partial Label Learning. CoRR abs/2211.04774 (2022) - 2021
- [j6]Jianhua Tao, Jian Huang, Ya Li, Zheng Lian, Mingyue Niu:
Correction to: Semi-supervised Ladder Networks for Speech Emotion Recognition. Int. J. Autom. Comput. 18(4): 680 (2021) - [j5]Zheng Lian, Bin Liu, Jianhua Tao:
DECN: Dialogical emotion correction network for conversational emotion recognition. Neurocomputing 454: 483-495 (2021) - [j4]Zheng Lian, Bin Liu, Jianhua Tao:
CTNet: Conversational Transformer Network for Emotion Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 29: 985-1000 (2021) - [j3]Bin Liu, He Zhang, Baoping Zhang, Zheng Lian, Lijian Yang, Tong Liu:
Investigating the Characteristic of Weak Magnetic Stress Internal Detection Signals of Long-Distance Oil and Gas Pipeline Under Demagnetization Effect. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c18]Licai Sun, Bin Liu, Jianhua Tao, Zheng Lian:
Multimodal Cross- and Self-Attention Network for Speech Emotion Recognition. ICASSP 2021: 4275-4279 - [c17]Zheng Lian, Rongxiu Zhong, Zhengqi Wen, Bin Liu, Jianhua Tao:
Towards Fine-Grained Prosody Control for Voice Conversion. ISCSLP 2021: 1-5 - [c16]Licai Sun, Mingyu Xu, Zheng Lian, Bin Liu, Jianhua Tao, Meng Wang, Yuan Cheng:
Multimodal Emotion Recognition and Sentiment Analysis via Attention Enhanced Recurrent Model. MuSe @ ACM Multimedia 2021: 15-20 - [c15]Cong Cai, Yu He, Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao, Mingyu Xu, Kexin Wang:
Multimodal Sentiment Analysis based on Recurrent Neural Network and Multimodal Attention. MuSe @ ACM Multimedia 2021: 61-67 - 2020
- [j2]Zheng Lian, Ya Li, Jianhua Tao, Jian Huang, Mingyue Niu:
Expression Analysis Based on Face Regions in Real-world Conditions. Int. J. Autom. Comput. 17(1): 96-107 (2020) - [c14]Zheng Lian, Jianhua Tao, Zhengqi Wen, Rongxiu Zhong:
CASIA Voice Conversion System for the Voice Conversion Challenge 2020. Blizzard Challenge / Voice Conversion Challenge 2020 - [c13]Jian Huang, Jianhua Tao, Bin Liu, Zheng Lian, Mingyue Niu:
Multimodal Transformer Fusion for Continuous Emotion Recognition. ICASSP 2020: 3507-3511 - [c12]Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang, Zhanlei Yang, Rongjun Li:
Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition. INTERSPEECH 2020: 394-398 - [c11]Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang, Zhanlei Yang, Rongjun Li:
Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks. INTERSPEECH 2020: 2347-2351 - [c10]Jian Huang, Jianhua Tao, Bin Liu, Zheng Lian:
Learning Utterance-Level Representations with Label Smoothing for Speech Emotion Recognition. INTERSPEECH 2020: 4079-4083 - [c9]Zheng Lian, Zhengqi Wen, Xinyong Zhou, Songbai Pu, Shengkai Zhang, Jianhua Tao:
ARVC: An Auto-Regressive Voice Conversion System Without Parallel Training Data. INTERSPEECH 2020: 4706-4710 - [c8]Licai Sun, Zheng Lian, Jianhua Tao, Bin Liu, Mingyue Niu:
Multi-modal Continuous Dimensional Emotion Recognition Using Recurrent Neural Network and Self-Attention Mechanism. MuSe @ ACM Multimedia 2020: 27-34
2010 – 2019
- 2019
- [j1]Jianhua Tao, Jian Huang, Ya Li, Zheng Lian, Mingyue Niu:
Semi-supervised Ladder Networks for Speech Emotion Recognition. Int. J. Autom. Comput. 16(4): 437-448 (2019) - [c7]Mingyue Niu, Jianhua Tao, Ya Li, Jian Huang, Zheng Lian:
Discriminative Video Representation with Temporal Order for Micro-expression Recognition. ICASSP 2019: 2112-2116 - [c6]Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang:
Conversational Emotion Analysis via Attention Mechanisms. INTERSPEECH 2019: 1936-1940 - [c5]Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang:
Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition. INTERSPEECH 2019: 3840-3844 - [i7]Zheng Lian, Ya Li, Jianhua Tao, Jian Huang:
Speech Emotion Recognition via Contrastive Loss under Siamese Networks. CoRR abs/1910.11174 (2019) - [i6]Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang:
Conversational Emotion Analysis via Attention Mechanisms. CoRR abs/1910.11263 (2019) - [i5]Zheng Lian, Jianhua Tao, Zhengqi Wen, Bin Liu, Yibin Zheng, Rongxiu Zhong:
Towards Fine-Grained Prosody Control for Voice Conversion. CoRR abs/1910.11269 (2019) - [i4]Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang:
Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition. CoRR abs/1910.13806 (2019) - [i3]Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang:
Domain adversarial learning for emotion recognition. CoRR abs/1910.13807 (2019) - [i2]Zheng Lian, Ya Li, Jianhua Tao, Jian Huang, Mingyue Niu:
Expression Analysis Based on Face Regions in Read-world Conditions. CoRR abs/1911.05188 (2019) - 2018
- [c4]Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Jiangyan Yi:
End-to-End Continuous Emotion Recognition from Video Using 3D Convlstm Networks. ICASSP 2018: 6837-6841 - [c3]Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Mingyue Niu, Minghao Yang:
Multimodal Continuous Emotion Recognition with Data Augmentation Using Recurrent Neural Networks. AVEC@MM 2018: 57-64 - [c2]Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Mingyue Niu, Minghao Yang:
Deep Learning for Continuous Multiple Time Series Annotations. AVEC@MM 2018: 91-98 - [i1]Zheng Lian, Ya Li, Jianhua Tao, Jian Huang:
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition. CoRR abs/1809.06225 (2018) - 2017
- [c1]Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Zhengqi Wen, Minghao Yang, Jiangyan Yi:
Continuous Multimodal Emotion Prediction Based on Long Short Term Memory Recurrent Neural Network. AVEC@ACM Multimedia 2017: 11-18
Coauthor Index
[j17] [i40] [i39] [i37] [j15] [j14] [j13] [j11] [c39] [c37] [c36] [c34] [c33] [i31] [i30] [i29] [i28] [i27] [i26] [i24] [i23] [j10] [j8] [j7] [c31] [c30] [c29] [c28] [c26] [c25] [c24] [c23] [i17] [i15] [i14] [c22] [c21] [c20] [i13] [i12] [i11] [i10] [j5] [j4] [c18] [c17] [c16] [c15] [c13] [c12] [c11] [c10] [c8] [c6] [c5] [i6] [i5] [i4] [i3]
[j17] [c43] [c41] [i40] [i38] [i37] [i36] [i34] [j15] [j14] [j13] [j11] [c40] [c39] [c37] [c36] [c34] [c33] [e1] [i31] [i30] [i29] [i28] [i27] [i26] [i24] [i23] [j10] [j8] [j7] [c32] [c31] [c30] [c29] [c28] [c27] [c25] [c24] [c23] [i22] [i21] [i20] [i18] [i17] [i15] [i14] [c22] [c21] [c20] [c19] [i13] [i12] [i11] [i10] [i9] [i8] [j6] [j5] [j4] [c18] [c17] [c16] [c15] [j2] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [j1] [c7] [c6] [c5] [i7] [i6] [i5] [i4] [i3] [i2] [c4] [c3] [c2] [i1] [c1]
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last updated on 2025-10-28 23:30 CET by the dblp team
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