导师风采 Supervisor's Information

陶建华，清华大学自动化系教授，国家杰出青年基金获得者，国家级领军人才，享受国务院政府特殊津贴。主要从事数据分析、智能信息处理、模式识别等方向，在IEEE TPAMI、IEEE TAFFC、IEEE TIP、IEEE TASLP等国内外主要期刊或会议上发表论文300余篇，先后负责国家重点研发计划项目、国家自然科学基金重点项目、国家863重点项目、国家发改委项目等40余项重点科研任务。研究成果大量应用于百度、阿里、腾讯、华为等企业，并在公安部、网信办等发挥重要作用，成果获2022年中国人工智能学会吴文俊技术发明特等奖、2021年中国电子学会技术发明一等奖、2018年中国电子学会技术进步一等奖，并多次在国内外学术会议上获奖。目前担任中国计算机学会会士和常务理事、中国人工智能学会常务理事、中国图象图形学会理事兼人机交互专委主任等，并担任多个国内外期刊编委，以及Interspeech、IEEE MLSP等会议大会主席或程序委员会主席。

2001.07-2003.02 清华大学计算机系 助理研究员

2003.03-2022.12 中国科学院自动化研究所 历任副研究员、研究员、模式识别国家重点实验室副主任、学术委员会委员、学位委员会委员

2022.12-至今 清华大学自动化系 长聘教授

智能信息融合与处理、语音处理、情感计算、大数据分析

科技部国家重点研发计划，类脑听觉前端模型与系统研究，项目负责人，2021-2026

国家自然科学基金重点项目，高性能人机对话建模技术研究，项目负责人，2022-2025

国家自然科学基金重点项目，连续状态空间个性化语音情感识别，项目负责人，2019.01-2023.12

战略性先导科技专项C类项目，大数据分析关键技术及应用，项目负责人，2018 -2023

北京市科委，高精度、低延时的多通道AR虚实融合交互系统研发，项目负责人，2022-2023

[1] Jianhua Tao, Tieniu Tan (Eds)，Affective Information Processing,Springer,2008

[2] Keikichi Hirose，Jianhua Tao,Speech Prosody in Speech Synthesis：Modeling and generation of prosody for high quality and flexible speech synthesis,Springer,2015

[3] Pengpeng Shao, Guohua Yang, Dawei Zhang, Jianhua Tao, Feihu Che, Tong Liu,Tucker decomposition-based Temporal Knowledge Graph Completion,Knowledge-Based Systems,Volume 238,2022

[4] Xiao Sun,Jingyuan Li,and Jianhua Tao,Emotional Conversation Generation Orientated Syntactically Constrained Bidirectional-Asynchronous Framework,IEEE TRANSACTIONS ON AFFECTIVE COMPUTING,VOL.13,NO. 1,2022

[5] Wang,Tao,Fu,Ruibo,Yi,Jiangyan,Tao,Jianhua,Wen,Zhengqi,NeuralDPS: Neural Deterministic Plus Stochastic Model With Multiband Excitation for Noise-Controllable Waveform Generation, IEEE/ACM Transactions on Audio, Speech, and Language Processing ,30:865-878,2022

[6] Tao Wang,Jiangyan Yi,Ruibo Fu,Jianhua Tao, Zhengqi Wen,CampNet: Context-Aware Mask Prediction for End-to-End Text-Based Speech Editing, IEEE/ACM Transactions on Audio, Speech, and Language Processing,Volume30,2022

[7] Zhengkun Tian, Jiangyan Yi, Jianhua Tao, Shuai Zhang; Zhengqi Wen, Hybrid Autoregressive and Non-Autoregressive Transformer Models for Speech Recognition, IEEE Signal Processing Letters,Volume29,2022

[8] Zheng Lian, Bin Liu, Jianhua Tao, PIRNet: Personality-enhanced Iterative Refinement Network for Emotion Recognition in Conversation, IEEE Transactions on Neural Networks and Learning Systems,2022

[9] Zheng Lian, Bin Liu, Jianhua Tao,SMIN: Semi-supervised Multi-modal Interaction Network for Conversational Emotion Recognition, IEEE Transactions on Affective Computing,DOI:10.1109,2022

[10] Ke Xu, Bin Liu, Jianhua Tao, Zhao Lv, Cunhang Fan, Leichao Song,AHRNN: Attention‐Based Hybrid Robust Neural Network for emotion recognition,Cognitive Computation and Systems,4(1):85-95,2022

[11] Ye Bai, Jiangyan Yi, Jianhua Tao, Zhengkun Tian, Zhengqi Wen and Shuai Zhang,Integrating Knowledge Into End-to-End Speech Recognition From External Text-Only Data,IEEE/ACM Transactions on Audio, Speech, and Language Processing,Vol 29,1340-1351,2021

[12] Ye Bai, Jiangyan Yi, Jianhua Tao, Zhengkun Tian, Zhengqi Wen and Shuai Zhang, Fast End-to-End Speech Recognition Via Non-Autoregressive Models and Cross-Modal Knowledge Transferring From BERT, IEEE/ACM Transactions on Audio, Speech, and Language Processing,Vol 29,1897-1911,2022

[13] Feihu Che, Jianhua Tao, Guohua Yang, Tong Liu, Dawei Zhang,Multi-aspect self-supervised learning for heterogeneous information network,Knowledge-Based Systems,Volume 233,2021

[14] Yongwei Li, Jianhua Tao, Donna Erickson, Bin Liu, Masato Akagi,F0-Noise-Robust Glottal Source and Vocal Tract Analysis Based on ARX-LF Model,IEEE/ACM Transactions on Audio, Speech, and Language Processing,Vol.29, 3375-3383.2021

[15] Zheng Lian, Bin Liu, Jianhua Tao, CTNet: Conversational Transformer Network for Emotion Recognition, IEEE/ACM Transactions on Audio, Speech, and Language Processing,Vol 29,985-1000,2021

[16] Zheng Lian, Bin Liu, Jianhua Tao, DECN: Dialogical Emotion Correction Network for Conversational Emotion Recognition, Neurocomputing,Vol 454,483-495,2021

[17] Mingyue Niu, Bin Liu, Jianhua Tao, Qifei Li,A time-frequency channel attention and vectorization network for automatic depression level prediction, Neurocomputing, Vol 450,208-218,2021

[18] Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Tong Liu,Self-supervised graph representation learning via bootstrapping, Neurocomputing, Vol 456,88-96,2021

[19] Fan Cunhang; Yi Jiangyan; Tao Jianhua; Tian Zhengkun; Liu Bin; Wen Zhengqi,Gated Recurrent Fusion with Joint Training Framework for Robust End-to-End Speech Recognition, IEEE/ACM Transactions on Audio, Speech, and Language Processing,Vol 29, 198-209,2021

[20] Xiao Sun,Jia Li,Xing Wei, Changliang Li , Jianhua Tao ,Emotional Conversation Generation Based on a Bayesian Deep Neural Network,ACM TRANSACTIONS ON INFORMATION SYSTEMS,VOL.38,NO.1,2020

[21] Xiao Sun , Jia Li, Xing Wei , Changliang Li, Jianhua Tao,Emotional editing constraint conversation content generation based on reinforcement learning, Information Fusion,VOL.56,70-80,2020

[22] Ziping Zhao,Zhongtian Bao,Zixing Zhang,Nicholas Cummins,Haishuai Wang,Jianhua Tao, Björn Schuller,Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders, IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING,VOL.14, NO.2,2020

[23] Fan, Cunhang; Tao, Jianhua; Liu, Bin; Yi, Jiangyan; Wen, Zhengqi; Liu, Xuefei,End-to-End Post-Filter for Speech Separation With Deep Attention Fusion Features, IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING,VOL.28, 1303-1314,2020

[24] Bocheng Zhao, Jianhua Tao, Minghao Yang, Zhengkun Tian,Cunhang Fan,Ye Bai,Deep imitator: handwriting calligraphy imitation via deep attention networks, Pattern Recognition,VOL.104,107080-107080,2020

[25]Zheng Lian, Ya Li, Jianhua Tao, Jian Huang ,Mingyue Niu,Expression Analysis Based on Face Regions in Read-world Conditions, International Journal of Automation and Computing,Vol 17,96-107,2020

[26]Yibin Zheng , Jianhua Tao, Zhengqi Wen, Jiangyan Yi ,Forward–Backward Decoding Sequence for Regularizing End-to-End TTS, IEEE/ACM Trans. Audio, Speech & Language Processing,Vol 12,2067-2079,2019

[27] Jianhua Tao, Jian Huang, Ya Li, Zheng Lian, Mingyue Niu, Semi-supervised Ladder Networks for Speech Emotion Recognition, International Journal of Automation and Computing,Vol.16 No.4, 437-448,2019

[28] Jiangyan Yi,Jianhua Tao,Zhengqi Wen, Ye Bai, Language-Adversarial Transfer Learning for Low-Resource Speech Recognition, IEEE/ACM Trans. Audio, Speech & Language Processing,Vol 3(27), 621-630,2019

[29] Ya Li, Jianhua Tao, Wei Lai, Xiaoying Xu,Quantitative intonation modeling of interrogative sentences for Mandarin speech synthesis, Speech Communication,Volume 89, PP:92-102,2017

[30] Ya Li, Jianhua Tao, Linlin Chao,Wei Bao, Yazhu Liu, CHEAVD: a Chinese natural emotional audio–visual database, Journal of Ambient Intelligence and Humanized Computing,Vol 8(6),913-924,2016

[31] Su-Jing Wang,Wen-Jing Yan,Xiaobai Li,Guoying Zhao,Chun-Guang Zhou,Xiaolan Fu,Minghao Yang,Jianhua Ta, Micro-Expression Recognition Using Color Spaces,IEEE Transactions on Image Processing,Vol.24, No.12, 6034-6047,2015

[32] Wang Xiaoyan,Yang Minghao,Xia Ming,Zhan Yongsong,Shi Lihui，Ma,Chuanyan Tao,Jianhua,Chen Shengyong, Fast unsupervised texture segmentation using Texel similarity map, Journal Of Modern Optics,Vol. 62, 1211-1222,2015

[33] Minghao Yang,Jianhua Tao,Linlin Chao,Hao Li,Dawei Zhang,Hao Che,Tingli Gao,Bin Liu, User behavior fusion in dialog management with multi-modal history cues,Multimedia Tools and Applications,Volume 74, Issue 22, 10025-10051,2015

[34] J Tao,K Hirose,K Tokuda,AW Black,Introduction to the Issue on Statistical Parametric Speech Synthesis,IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 8 (2) :170-172,2014

[35] Zhengqi Wen,Jianhua Tao,Shifeng Pan,Yang Wang,Pitch-Scaled Spectrum Based Excitation Model for HMM-based Speech Synthesis, Journal of Signal Processing Systems,Vol74,423-435,2014

[36] Minghao Yang, Jianhua Tao, Kaihui Mu, Ya Li, Jianfeng Che,A Multimodal Approach of Generating 3D Human-like Talking Agent,Journal on Multimodal User Interfaces,Vol.5(1-2),61-68,2012

[37] Jianhua Tao, Shifeng Pan, Minghao Yang, Ya Li, Kaihui Mu and Jianfeng Che,Utterance independent bimodal emotion recognition in spontaneous communication,Journal on Advances in Signal Processing,Vol.4,1-11,2011

[38] Jianhua Tao, Meng Zhang, Jani Nurminen, Jilei Tian, Xia Wang, Supervisory Data Alignment for Text-independent Voice Conversion, IEEE Transactions on Audio, Speech and Language Processing, Vol. 18, No. 5, 932-943,2010

[39] Jianhua Tao, Le Xin, Panrong Yin, Realistic Visual Speech Synthesis based on Hybrid Concatenation Method, IEEE Transactions on Audio, Speech and Language Processing, Vol. 17, No. 3, 469-477,2009

[40] Jianhua Tao, Yongguo Kang, Aijun Li,Prosody conversion from neutral speech to emotional speech, IEEE Transactions on Audio, Speech, and Language Processing, Vol. 14, No. 4,1145-1154,2006

[41] Ren-Hua Wang, Sin-Horng Chen, Jianhua Tao, Min Chu,MANDARIN TEXT-TO-SPEECH SYNTHESIS,Advanced Chinese Spoken Language Processing,Vol.5,2006

2022年，中国人工智能学会吴文俊人工智能技术发明特等奖（排名1）

2022年，第九届中国电子学会十佳优秀科技工作者

2021年，中国电子学会技术发明奖一等奖（排名1）

2021年，中国科学院大学研究生优秀课程

2020年，中国科学院大学唐立新教学名师奖

2018年，中国电子学会科学技术奖一等奖

2018年，国务院政府特殊津贴人员

2017年，国家万人计划科技创新领军人才

2015年，国家杰出青年科学基金

2014年，北京市科学技术奖二等奖

Board Member, International Speech Communication Association(ISCA )

Steering Committee Member, IEEE Transactions on Affective Computing

Associate Editor, Machine Intelligence Research (MIR)

Chairperson, ISCA SIG-CSLP

科技部信息光子专项专家组副组长

中国人工智能学会，常务理事、情感智能专委副主任

中国计算机学会，会士、常务理事、语音对话听觉专委副主任

中国图形图像学会，理事、人机交互专委主任

计算机研究与发展，编委

国家标准化委员会人工智能分委员会，副主任、智能感知集成工作组组长