About Me

I am currently an associate researcher at College of Intelligence and Computing, Tianjin University. I received my B.S., and M.S., degrees in computer science from Harbin University of Science and Technology, in 2012 and 2015 respectively, and my Ph.D degree in computer applications technology from Tianjin University, in 2020. I was a postdoctoral fellow at Tianjin University-China Mobile Communications (Tianjin) Joint Laboratory in 2022 and also a postdoctoral fellow in School of Nursing at The Hong Kong Polytechnic University (PolyU) from 2023-2024. I was a visiting researcher at Harbin Institute of Technology in 2013, Beijing Institute of Technology in 2019, and University of Macau in 2019. I served as the reviewer for NLP major conferences, e.g., SIGIR, ACL, EMNLP, NLPCC, AACL, etc. I was chosen as an outstanding youth academic talent in 2020.
In recent five years, I have published more than 50 papers, including CCF ranking A/B conference papers (e.g., NIPS, IJCAI, EMNLP, CIKM, NAACL, etc.) and top journal papers (e.g., IEEE TFS, IEEE TAI, IEEE TAC, IEEE TITS, IEEE TCE, ACM TOIS, ACM TOIT, ACM TOMM, ACM CSUR, INFFUS, TCS, NN, AI, ACM TALLIP, etc.).

张亚洲，汉人也，生于豫北，长于豫北，尝游学于冰、津，现旅居于郑州。貌平庸，性卑傲，尚淫慢，事褊噪，难跻贾生之辈。时迷沉武侠，耽嗜幻想，常怀顾盼之情，感白头之慨。三十年间奔走四方，不曾建尺寸之功于世，年岁日长，志气渐消，平旦自思，方知平生所求者，既非学姜尚之才，亦非效李玄之志，但寻一美差，公事游旷，每闲暇之余，邀三五好友，饮至微醺，谈天说地，细语风情，左右环顾，妻子皆在身旁，如此则为人生之快事也。待百年之后，竖一草碑，碑文毋须多言，唯书八字：为情而迷，以梦为生，届时，吾或可知或不知，然生前身后，俱无憾矣。


Work Experience

2024/09-Now, Tianjin University, Associate Research Fellow.
2022/11-2024/09, The Hong Kong Polytechnic University (PolyU), School of Nursing, Postdoctoral Fellow.
2021/08-2023/07, Tianjin University, Tianjin University-China Mobile Communications (Tianjin) Joint Laboratory, Postdoctoral Fellow.
2020/01-2024/07, Zhengzhou University of Light Industry, Software Engineering College, Lecturer.
2016/01-2016-09, Tianjin University, College of Intelligence and Computing, Teaching assistant.


Research Interests

Large Language Model, Sentiment Analysis, Quantum Cognition, Sarcasm Detection, Affective Computing, Natural Language Processing

Recent Activities

  • Oct. 10, 2024. Our paper was accepted by TST.
  • Nov. 27, 2023. Our paper was accepted by ACM TOMM.
  • Oct. 15, 2023. Our paper was accepted by IEEE TCE.
  • Oct. 12-15, 2023. Attended NLPCC and PRCV 2023, Foshan and Xiamen.
  • Sep. 22, 2023. Big congratulations. Our paper was accepted by NeurIPS (CCF-A).
  • Jul. 19, 2023. Our paper was accepted by IEEE TAI.
  • Jul. 17, 2023. Our paper was accepted by NLPCC.
  • Jul. 14, 2023. Our paper was accepted by ACM TALLIP.
  • Jun. 21, 2023. 获批中国科学基金博士后面上基金项目，资助率约16%.
  • May 08, 2023. Our paper was accepted by IEEE TAC, finally.
  • Apr. 15, 2023. Our paper was accepted by ACM TOIS.
  • Jan. 03, 2023. Our paper was accepted by INFFUS.
  • Aug. 24, 2022. Our paper was accepted by IEEE T-ITS.
  • Aug. 12-15, 2022. Attended Chinese Conference on Affect Computing暨情感计算专委会年度会议, CCAC 2022, Suzhou.
  • Jul. 10-14, 2022. Attended NAACL 2022, Session Chair, Online.
  • Jul. 04, 2022. Two paper were accepted by NLPCC 2022.
  • Apr. 25, 2022. Our paper was accepted by ACM TOIT.
  • Apr. 07, 2022. Our paper was accepted by NAACL.
  • Mar. 14, 2022. Our paper was accepted by ACM TOMM.
  • Mar. 08, 2022. Our paper was accepted by ACM Computing Surveys.
  • Dec. 04, 2021. I just had my first child, lol.
  • Nov. 19, 2021. Our paper was accepted by ECIR 2022.
  • Sep. 05, 2021. Our paper was accepted by EMNLP Findings.
  • Jul. 23-24, 2021. CAAI情感智能专委会年度会议暨多模态情感计算研讨会, Beijing.
  • Jul. 10-11, 2021. Attended Chinese Conference on Affect Computing, CCAC 2021, Beijing.
  • Apr. 01, 2021. My paper was accepted in IEEE Trans. on Fuzzy System.
  • Nov. 30-Dec. 07, 2020. Hold the wedding ceremony.
  • Oct. 06, 2020. My paper was accepted in Neural Networks Journal.
  • Sep. 18, 2020. My project was funded by Youth Program of National Natural Science Foundation of China.
  • Mar. 26, 2020. The review committee member of AACL-IJCNLP 2020.
  • Feb. 02-Jun. 10, 2020. The review committee member of ACL, EMNLP and NLPCC 2020.
  • Nov. 03-04, 2019. Attended The ACM International Conference on Information and Knowledge Management (CIKM 2019), Beijing.
  • Aug. 12-16, 2019. Attended the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019) and made oral presentation, Macau University, Macau.
  • May 1-Dec. 30, 2019. Visited Beijing Engineering Research Center of High Volume Language Information Processing, Beijing Institute of Technology, Beijing.
  • Sep. 14-17, 2018. Co-organized and attended Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR 2018), Tianjin.
  • Mar. 26-29, 2018. Attended ECIR 2018 and made oral presentation, Grenoble University, France.
  • Aug. 14-16, 2017. Organized the workshop of quantum cognition and information retrieval, Tianjin University, Tianjin.
  • Jul. 01, 2013-2014. Visited pattern recognition research center, Harbin Institute of Technology, Harbin.

    • Awards and Academic Employment

  • 河南省科技进步奖, 二等奖, 多模态行为与情感智能感知关键技术及应用, (排名: 5/10), 2024
  • 编辑委员会(Editorial Board), Journal of Intelligent Information Systems[SCI-3], 2024-Now
  • PC Member, 程序委员会委员, IEEE BIBM 2023
  • 郑州轻工业大学优秀硕士学位论文指导老师 2024
  • Session Chair, NAACL 2022
  • 二等奖[324-56], 河南省第五届自然科学学术奖, 河南省人力资源和社会保障厅, 2022
  • 二等奖[21837], 河南省教育厅科技成果奖, 2022
  • 一等奖[C语言], 二等奖[Java语言], 第三届全国高校计算机能力挑战赛[决赛段], 全国高等学校计算机教育研究会, 2022
  • 青年访问学者, 信息物理社会可信服务计算教育部重点实验室, 重庆大学, 2022-2023
  • 委员, 情感计算专委会, 中文信息学会, 2021
  • 委员, 情感智能专委会, 中国人工智能学会, 2021
  • 校青年骨干教师, 2021
  • 校优秀青年学术人才(特聘教授), 2020

    • Publications[Google Scholar]

    [First & Co-first Author]
    1. Zhang Y, Yang Yu, Xiangkai Wang, Xiang Li, Hui Liang, Prayag Tiwari. Multi-Affection Prompt Learning for Sentiment, Emotion and Sarcasm Joint Detection in Conversations. Tsinghua Science and Technology (TST). Accept, 2024. [SCI-1]
    2. Zhang Y, Yang Yu, Mengyao Wang, Min Huang, M. Shamim Hossain. Self-Adaptive Representation Learning Model for Multi-Modal Sentiment and Sarcasm Joint Analysis. ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM). 20(5), No.125: 1-17, 2024. [CCF-B]
    3. Zhang Y, Yu He, Rui Chen, Prayag Tiwari, Abdulmotaleb El Saddik, M. Shamim Hossain. A Dual Channel Cyber-Physical Transportation Network for Detecting Traffic Incidents and Driver Emotion. IEEE Transactions on Consumer Electronics (IEEE TCE). In Press, 2024. [SCI-2]
    4. Zhang Y, Yang Yu, Qing Guo, Benyou Wang, Dongming Zhao, Sagar Uprety, Dawei Song, Jing Qin, Qiuchi Li. CMMA：Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS). 36, 2024. [CCF-A, TOP]
    5. Zhang Y, Yu Y, Zhao DM, Li ZH, Wang B, Hou YX, Tiwari P, Qin J. Learning Multi-Task Commonness and Uniqueness for Multi-Modal Sarcasm Detection and Sentiment Analysis in Conversation. IEEE Transactions on Artificial Intelligence (IEEE TAI). 5(3):1349-1361, 2024.
    6. Zhang Y, Wang MY, Rong L, Yu Y, Zhao DM, Qin J. ChatGPT可否充当情感专家？调查其在情感与隐喻分析的潜力. The 12th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC2023). 60(1): 43-52, 2024. [CCF-C, 推荐到北京大学学报自然科学版]
    7. Zhang Y, Jia A, Wang B, Zhang P, Zhao DM, Li Pu, Hou YX, Jin XJ, Song DW, Qin J. M3GAT: A Multi-Modal Multi-Task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition. ACM Transactions on Information Systems (ACM TOIS). 42(1), No. 13: 1-32, 2023. [CCF-A]
    8. Zhang Y, Wang JL, Liu YC, Rong L, Zheng Q, Song DW, Tiwari P, Qin J. A Multitask Learning Model for Multimodal Sarcasm, Sentiment and Emotion Recognition in Conversations. Information Fusion (INFFUS). 93：282-301, 2023. [SCI-1, IF=17.56]
    9. Zhang Y, Tiwari P, Zheng Q, El Saddik A, Hossain S. A Multi-Modal Coupled Graph Attention Network for Joint Traffic Event Detection and Sentiment Classification. IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS). 24(8): 8542-8554, 2023. [SCI-1, IF=9.55]
    10. Zhang Y, Ma D, Tiwari P, Zhang C, Masud M, Shorfuzzaman M, Song D. Stance Level Sarcasm Detection with BERT and Stance-Centered Graph Attention Networks. ACM Transactions on Internet Technology (ACM TOIT). 23(2), No.27: 1-21, 2023. [CCF-B]
    11. Zhang Y, Tiwari P, Rong L, Chen R, AlNajem N, Shamim Hossain M. Affective Interaction: Attentive Representation Learning for Multi-Modal Sentiment Classification. ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM). 18 (3):1-23, 2022. [CCF-B]
    12. Zhang Y, He Y, Rong L, Ding YJ. A Hybrid Model for Depression Detection With Transformer and Bi-directional Long Short-Term Memory. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). pp.2727-2734, 2022. [CCF-B]
    13. Li X, Zhang Y*, Tiwari P, Song D, Hu B, Yang M, et al. EEG based Emotion Recognition: A Tutorial and Review. ACM Computing Surveys (CSUR). 55 (4): 1-57, 2022. [SCI-1, Co-first Author, IF=14.32]
    14. Zhang Y, Yu Y, Zhu S, Chen R, Rong L, Liang H. A Quantum Probability Inspired Network for Dialogue Sarcasm Recognition. Acta Electronica Sinica (电子学报). 50 (8): 1885-1895, 2022. [CCF-A 中文, 精选论文]
    15. Zhang Y, Rong L, Li X, Chen R. Multi-Modal Sentiment and Emotion Joint Analysis with A Deep Attentive Multi-Task Learning Model. European Conference on Information Retrieval. Online, pp.518-532, 2022. [CCF-C]
    16. Zhang Y, He Y, Rong L. SentiImgBank: A Large Scale Visual Repository for Image Sentiment Analysis. Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Xiamen, pp.223-232, 2023. [CCF-C]
    17. Zhang Y, Li X, Rong L, Tiwari P. Multi-Task Learning for Jointly Detecting Depression and Emotion. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). pp.3142-3149, 2021. [CCF-B]
    18. Zhang Y, Rong L, Li X, Tiwari P, Zheng Q, Liang H. MedSeq2Seq: A Medical Knowledge Enriched Sequence to Sequence Learning Model for COVID-19 Diagnosis. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). pp.3181-3184, 2021. [CCF-B]
    19. Li X, Zhang Y*, Li J. Supercomputer Supported Online Deep Learning Techniques for High Throughput EEG Prediction. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). pp.2392-2398, 2021. [CCF-B, Co-first Author]
    20. Liu Y, Zhang Y*, Li Q, Wang B, Song D. What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability. Findings of EMNLP. 2021. [CCF-B, Co-first Author]
    21. Zhang Y, Liu Y, Li Q, Tiwari P, Wang B, et al. CFN: A Complex-valued Fuzzy Network for Sarcasm Detection in Conversations. IEEE Transactions on Fuzzy System. 29(12):3696-3710, 2021. [SCI-1, IF=12.25]
    22. Zhang Y, Tiwari P, Song D, Mao X, Wang P, et al. Learning Interaction Dynamics with an Interactive LSTM for Conversational Sentiment Analysis. Neural Networks. vol 133:40-56, 2021. [SCI-1, IF=9.65]
    23. Zhang Y, Song D, Li X, Zhang P, et al. A Quantum-like Multimodal Network Framework for Modeling Interaction Dynamics in Multiparty Conversational Sentiment Analysis. Information Fusion. vol 62: 14-31, 2020. [SCI-1, IF=17.56]
    24. Zhang Y, Rong L, Song D, Zhang P. A Survey on Multimodal Sentiment Analysis. Pattern Recognition and Artificial Intelligence, 33(5), 426-438, 2020. [EI, CCF-B]
    25. Zhang Y, Zhao Z, Wang P, Li X, Rong L, Song D. ScenarioSA: A Dyadic Conversational Database for Interactive Sentiment Analysis. IEEE Access. vol.8:90652-64, 2020. [SCI-2]
    26. Zhang Y, Song D, Zhang P, et al. A Quantum-inspired Sentiment Representation Model for Twitter Sentiment Analysis. Applied Intelligence. 49(8):3093-108, 2019. [SCI-2]
    27. Zhang Y, Li Q, Song D, Zhang P, Wang P. Quantum-Inspired Interactive Networks for Conversational Sentiment Analysis. in 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), vol.752:21-40, 2019. [CCF-A]
    28. Zhang Y, Song D, Zhang P, Wang P, Li J, et al. A Quantum-inspired Multimodal Sentiment Analysis Framework. Theoretical Computer Science. vol.752:21-40, 2018. [CCF-B]
    29. Zhang Y, Song D, Li X, Zhang P. Unsupervised Sentiment Analysis of Twitter Posts Using Density Matrix Representation. In European Conference on Information Retrieval 2018 Mar 26. pp. 316-329, 2018. [CCF-C]
    [Corresponding Author]
    1. Jia A, Zhang Y*, Uprety S, Song DW. Learning interactions across sentiment and emotion with graph attention network and position encodings. Pattern Recognition Letters, In Press, 2024. [CCF-C]
    2. Ma JX, Rong L, Zhang Y*, Tiwari P. Moving From Narrative to Interactive Multi-Modal Sentiment Analysis: A Survey. ACM Transactions on Asian and LowResource Language Information Processing, In Press, 2023. [CCF-C]
    3. Liu Y, Zhang Y*, Song D. A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm, Sentiment and Emotion Analysis. IEEE Transactions on Affective Computing, In Press, 2023. [SCI-1, IF=13.99]
    4. Jia A, He Y, Zhang Y*, Uprety S, Song D, Lioma C. Beyond Emotion: A Multi-Modal Dataset for Human Desire Understanding. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1512–1522, Seattle, United States. Association for Computational Linguistics, 2022. [CCF-B, TOP]
    5. Yu Y, Rong L, Wang MY, Huang M, Zhang Y*, Ding YJ. Prompt Learning for Multi-modal COVID-19 Diagnosis. In 2022 IEEE International Conference on Bioinformatics and Biomedicine, pages 2803-2807, 2022. [CCF-B]
    6. Wang P, Zhang Y*, Li X, Hou Y, Song D. Does tang poetry affect human emotional state? A pilot study by EEG. In2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). pp. 2044-2047, 2017. [CCF-B]
    [Others]
    1. Li ZH, Guo QB, Pan YS, Ding WP, Yu J, Zhang Y, Liu WH, Chen HR, Wang H, Xie Y. Multi-level correlation mining framework with self-supervised label generation for multimodal sentiment analysis. Information Fusion. vol.99:101891, 2023. [SCI-1]
    2. Liu YC, Li QC, Wang BY, Zhang Y, Song DW. A Survey of Quantum-Cognitively Inspired Sentiment Analysis Models. ACM Computing Surveys (CUSR). Accept, 2023. [SCI-1]
    3. Wang JL, Mang F, Zhang Y, Song DW. A Multibias-mitigated and Sentiment Knowledge Enriched Transformer for Debiasing in Multimodal Conversational Emotion Recognition. NLPCC 2022: CCF International Conference on Natural Language Processing and Chinese Computing. Guilin, pp 499–512, 2022. [CCF-C]
    4. Li X, Li J, Zhang Y, Tiwari P. Emotion Recognition from Multi-channel EEG Data through A Dual-pipeline Graph Attention Network. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). pp.3642-3647, 2021. [CCF-B]
    5. Li P, Wang X, Liang H, Zhang S, Zhang Y, Jiang Y, Tang Y. A Fuzzy Semantic Representation and Reasoning Model for Multiple Associative Predicates in Knowledge Graph. Information Sciences, vol. 599, 208-230, 2022. [SCI-1]
    6. Wang P, Hou Y, Li Z, Zhang Y. QIRM: A Quantum Interactive Retrieval Model for Session Search. Neurocomputing. vol. 451: 57-66, 2021. [SCI-2]
    7. Shome D, Kar T, Mohanty SN, Tiwari P, Muhammad K, AlTameem A, Zhang Y, Saudagar AKJ. COVID-Transformer: Interpretable COVID-19 Detection Using Vision Transformer for Healthcare. International Journal of Environmental Research and Public Health. In Press, 2021. [SCI-4]
    8. Li X, Zhao Z, Song D, Zhang Y, Pan J, Wu L, Huo J, Niu C, Wang D. Latent Factor Decoding of Multi-Channel EEG for Emotion Recognition Through Autoencoder-Like Neural Networks. Frontiers in Neuroscience. 2020;14:87. [SCI-2]
    9. Li X, Zhao Z, Song D, Zhang Y, Niu C, Zhang J, Huo J, Li J. Variational Autoencoder based Latent Factor Decoding of Multichannel EEG for Emotion Recognition. In2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). pp.684-687, 2019. [CCF-B]
    10. Wang P, Li Z, Zhang Y, Hou Y, Ge L. QPIN: A Quantum-inspired Preference Interactive Network for E-commerce Recommendation. InProceedings of the 28th ACM International Conference on Information and Knowledge Management. pp.2329-2332, 2019. [CCF-B]
    11. Su Y, Li J, Song D, Zhang P, Zhang Y. Investigating the Dynamic Decision Mechanisms of Users’ Relevance Judgment for Information Retrieval via Log Analysis. In Pacific Rim International Conference on Artificial Intelligence. pp. 968-979, 2018. [CCF-C]
    12. Gu S, Hou Y, Zhang L, Zhang Y. Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method. InIJCAI 2018. pp. 2177-2183, 2018. [CCF-A]
    13. Song L, Zhang Y, Hou Y. Convolutional Neural Network with Pair-wise Pure Dependence for Sentence Classification. In2018 International Conference on Artificial Intelligence and Big Data (ICAIBD). pp.117-121, 2018. [EI]
    14. Li X, Song D, Zhang P, Zhang Y, Hou Y, Hu B. Exploring EEG Features in Cross-subject Emotion Recognition. Frontiers in neuroscience. vol. 19;12:162, 2018. [SCI-2]
    15. Dong W, Wang P, Zhang Y, Wang T, Niu J, Zhang S. EEG-based Emotion Word Recognition. In2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018) 2018 Mar. Atlantis Press. [EI]
    16. Wang P, Hou Y, Li J, Zhang Y, Song D, Li W. A Quasi-current Representation for Information Needs Inspired by Two-State Vector Formalism. Physica A: Statistical Mechanics and its Applications. vol.482:627-37, 2017. [SCI-3]
    17. Wang X, Zhang Y*, Guo X. Very low Resolution Face Image Super-resolution based on DCT. Journal of Information &Computional Science. 2014;11(11):3807-13. [EI]
    18. Wang X, Zhang Y*, Chen D. Face Detection based on MB-LBP and Eye Tracking. Chinese Journal of Scientific Instrument. 2014;35(12):2739-45. [EI]

    Patents

    1. Zhang Y, Song D. 一种基于量子理论的多模态情感分析方法. 2020. [201710916759.8]
    2. Zhang Y, Rong L, Zhang HJ, Shen BH. 一种笔记本用网线防脱装置. 2022. [202222995306.8]
    3. Zhang Y, Yu Y, Rong L. 一种基于多任务学习的对话讽刺和情感联合分析方法. 2022. [202211368781.0]
    4. Zhao DM, Zhang Y, Wang MY. 一种基于提示学习的多情感任务联合分析方法. 2023. [202310312871.8]
    5. Rong L, Zhang Y, Zi LR, Zuo SY, Zhang Y. 一种图书档案运输装置. 2021. [202122863043.0]
    6. Zhang Y, Ma J, Cui J, Li P, Zhu S. 一种基于量子理论的无监督文本情感分析方法. 2021. [202110113463.9]
    7. Ma J, Zhang Y, Chen R, Chu Y. 一种基于交互式长短期记忆网络的对话情感分析方法. 2021. [202110069022.3]

    Books

    1. 陈锐、张亚洲、崔建涛、李璞等. 深入浅出数据结构与算法. 清华大学出版社. 2023.4.
    2. Rong L, Zhang Y. 英汉图书翻译概论. 朗文出版社. 2022.

    Projects

    企业横向课题

    [脑部疾病检索系统的设计与实现]

    2021/11-2022/12, 20220305055943.

    Teaching

    Data Structure

    软件工程, 64学时

    Computer English

    软件工程, 32学时

    Java程序设计技术

    软件工程, 64学时

    设计模式

    国际教育学院, 软件工程, 64学时

    Research Team

    [ZZULI] 俞洋, 2020级, 已毕业, 前往兰州大学读博, 研究方向是多模态对话情感分析

    [ZZULI] 和玉, 2021级, 已毕业, 前往郑州银行软件开发部, 研究方向是讽刺、欲望识别

    [ZZULI] 王梦遥, 2022级, 研究方向是多模态讽刺检测

    [ZZULI] 刘祈蒙, 2023级, 研究方向是情感大语言模型、思维链

    [ZZULI] 邹春旺, 2023级, 研究方向是讽刺理解大语言模型

    [BIT] 刘耀琛, 2020级, 已毕业, 研究方向是多模态情感分析、量子认知

    [BIT] 马放, 2020级, 已毕业, 研究方向是对话情感分析、偏见检测

    [BIT] 贾奥, 2022级,研究方向是多模态欲望识别、多任务学习

    Contact

    yzhou_zhang@tju.edu.cn

    Tianjin University, Tianjin, China

    (+86)18222832966

    Flag Counter