Journals
[1] Fu, C., Li, Z., Wang, S., Ishiguro, H., & Yoshikawa, Y. (2025). Improving Social Robot Recommendation Acceptance Through Geo-Gender Affinity Construction. IEEE Robotics and Automation Letters.
[2] Zhao, Y., Zhang, H., Sun, T., Zhou, Z., Li, J., Lian, C., … & Fu, C. (2025). Disease and personality information enhanced depression detection based on the TransGCL framework. Neurocomputing, 131160.
[3] Wang, S., Liu, D., Fu, C., Yuan, X., Shan, P., & Leung, V. C. (2025). Predictive Body Awareness in Soft Robots: A Bayesian Variational Autoencoder Fusing Multimodal Sensory Data. IEEE Transactions on Robotics.
[4] Yang, L., Quan, X., Zhang, J., Liu, Y., Zhao, S., Fu, C., … & Zhao, Y. (2025). Sea ice type identification method based on MEMS sensor network combined with PCA-BPMIV-GRU. IEEE Transactions on Instrumentation and Measurement.
[5] Fu, C., Qian, F., Su, Y., Su, K., Song, S., Niu, M., … & Ishiguro, H. (2025). Facial action units guided graph representation learning for multimodal depression detection. Neurocomputing, 619, 129106.
[6] Wang, Y., Hao, R., Li, Z., Kuang, X., Dong, J., Zhang, Q., … & Fu, C. (2025). HGF-MiLaG: Hierarchical Graph Fusion for Emotion Recognition in Conversation with Mid-Late Gender-Aware Strategy. Sensors, 25(4), 1182.
[7] Fu, C., Su, Y., Su, K., Liu, Y., Shi, J., Wu, B., … & Ishiguro, H. (2025). HAM-GNN: A hierarchical attention-based multi-dimensional edge graph neural network for dialogue act classification. Expert Systems with Applications, 261, 125459.
[8] Lian, C., Zhao, Y., Sun, T., Shao, J., Liu, Y., Fu, C., … & Zhan, Z. (2025). Incorporating image representation and texture feature for sensor-based gymnastics activity recognition. Knowledge-Based Systems, 113076.
[9] Fu, C., Qian, F., Su, K., Su, Y., Wang, Z., Shi, J., … & Ishi, C. T. (2025). HiMul-LGG: A hierarchical decision fusion-based local–global graph neural network for multimodal emotion recognition in conversation. Neural Networks, 181, 106764.
[10] Deng, Q., Fu, C., Ban, M., & Iio, T. (2024). A systematic review on robot-assisted language learning for adults. Frontiers in Psychology, 15, 1471370.
[11] Niu, M., Li, M., & Fu, C. (2024). PointTransform Networks for automatic depression level prediction via facial keypoints. Knowledge-Based Systems, 297, 111951.
[12] Fu, C., Wang, S., Li, Z., Gupta, A., Meneses, A., Ishiguro, H., & Yoshikawa, Y. (2024). Modulating Perceived Authority and Warmth of Mobile Social Robots through Bodily Openness and Vertical Movement in Gait. IEEE Robotics and Automation Letters.
[13] Wang, X., Li, Z., Wang, S., Yang, Y., Peng, Y., & Fu, C. (2024). Enhancing emotional expression in cat-like robots: strategies for utilizing tail movements with human-like gazes. Frontiers in Robotics and AI, 11, 1399012.
[14] Fu, C., Alexis, M., Yoshikawa, Y., & Ishiguro, H. (2024). Enhancing the Mobile Humanoid Robot’s Emotional Expression with Affective Vertical-Oscillations. International Journal of Social Robotics, 16(7), 1523-1540.
[15] Li, J., Zhao, Y., Zhang, H., LiMember, W. J., Fu, C., Lian, C., & Shan, P. (2024). Image Encoding and Fusion of Multi-modal Data Enhance Depression Diagnosis in Parkinson’s Disease Patients. IEEE Transactions on Affective Computing.
[16] Zhao, Y., Liu, Y., Li, J., Wang, X., Yang, R., Lian, C., … & Fu, C. (2024). Global joint information extraction convolution neural network for Parkinson’s disease diagnosis. Expert Systems with Applications, 243, 122837.
[17] Song, S., Luo, Y., Tumer, T., Fu, C., Valstar, M., & Gunes, H. (2024). Loss relaxation strategy for noisy facial video-based automatic depression recognition. ACM Transactions on Computing for Healthcare, 5(2), 1-24.
[18] Liu, Y., Zhao, Y., Zhang, X., Wang, X., Lian, C., Li, J., … & Li, W. J. (2023). Mobilesam-track: lightweight one-shot tracking and segmentation of small objects on edge devices. Remote Sensing, 15(24), 5665.
[19] Zhao, Y., Liu, Y., Lu, W., Li, J., Shan, P., Lian, C., … & Wang, Y. (2023). Intelligent iot anklets for monitoring the assessment of parkinson’s diseases. IEEE Sensors Journal, 23(24), 31523-31536.
[20] Wang, Y., Chen, Z., & Fu, C. (2022). Synergy masks of domain attribute model DaBERT: emotional tracking on time-varying virtual space communication. Sensors, 22(21), 8450.
[21] Fu, C., Liu, C., Ishi, C. T., & Ishiguro, H. (2022). An improved CycleGAN-based emotional voice conversion model by augmenting temporal dependency with a transformer. Speech Communication, 144, 110-121.
[22] Fu, C., Liu, C., Ishi, C. T., & Ishiguro, H. (2022). An adversarial training based speech emotion classifier with isolated Gaussian regularization. IEEE Transactions on Affective Computing, 14(3), 2361-2374.
[23] Fu, C., Deng, Q., Shen, J., Mahzoon, H., & Ishiguro, H. (2022). A preliminary study on realizing human–robot mental comforting dialogue via sharing experience emotionally. Sensors, 22(3), 991.
[24] Fu, C., Liu, C., Ishi, C. T., Yoshikawa, Y., Iio, T., & Ishiguro, H. (2021). Using an android robot to improve social connectedness by sharing recent experiences of group members in human-robot conversations. IEEE Robotics and Automation Letters, 6(4), 6670-6677.
[25] Fu, C., Yoshikawa, Y., Iio, T., & Ishiguro, H. (2021). Sharing experiences to help a robot present its mind and sociability. International Journal of Social Robotics, 13, 341-352.
[26] Fu, C., Liu, C., Ishi, C. T., & Ishiguro, H. (2020). Multi-modality emotion recognition model with GAT-based multi-head inter-modality attention. Sensors, 20(17), 4894.
Conferences
[1] Fu, C., Zhao, S., Zhang, Y., Jian, Z., Zhao, S., & Liu, C.(2026). Personality-guided Public-Private Domain Disentangled Hypergraph-Former Network for Multimodal Depression Detection. In Proceedings of the AAAI Conference on Artificial Intelligence.
[2] Fu, C., Fu, Z., Zhang, Q., Kuang, X., Dong, J., Su, K., … & Ishiguro, H. (2025, October). The First MPDD Challenge: Multimodal Personality-aware Depression Detection. In Proceedings of the 33rd ACM International Conference on Multimedia (pp. 13924-13929).
[3] Wu, Z., Zhou, L., Li, S., Fu, C., Lu, J., Han, J., … & Song, S. (2025, April). DepMGNN: Matrixial Graph Neural Network for Video-based Automatic Depression Assessment. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 39, No. 2, pp. 1610-1619).
[4] Fu, C., Su, K., Su, Y., Qian, F., Zhang, Y., Liu, C., … & Zhao, Y. (2025, April). M 3 ADD: A Novel Benchmark for Physiology Signal-based Automatic Depression Detection with Multimodal Multitask Multievent Framework. In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE.
[5] Fu, C., Fu, Z., Yan, S., Lyv, X., & Zhao, Y. (2025, April). In-Context Multitask Learning for Few-shot Fine-tuning of Large Language Models in Traditional Chinese Medicine Tongue Diagnosis. In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE.
[6] Fu, C., Su, Y., Su, K., Yang, L., Shan, P., Lv, X., & Zhao, Y. (2025, April). Hierarchical Similarity Loss Enhanced Depth and Structural Fidelity in Monocular RGB-to-Depth Mapping with Adversarial Training. In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE.
[7] Chen, Z., Fu, C., Wu, R., Wang, Y., Tang, X., & Liang, X. (2023, October). Lgfat-rgcn: Faster attention with heterogeneous rgcn for medical icd coding generation. In Proceedings of the 31st ACM International Conference on Multimedia (pp. 5428-5435).
[8] 名取大雅, Fu Changzeng, 石黒浩, 吉川雄一郎:”対話相手がユーザー自身の顔と声を持つことが自己開示に及ばす影響の予備的検討”，第42回日本ロボット学会学術講演会予稿集，1H5-06，2024．
[9] Fu, C., Chen, Z., Shi, J., Wu, B., Liu, C., Ishi, C. T., & Ishiguro, H. (2023, June). Hag: Hierarchical attention with graph network for dialogue act classification in conversation. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE.
[10] Li, Y., Inoue, K., Tian, L., Fu, C., Ishi, C. T., Ishiguro, H., … & Lai, C. (2023, April). I know your feelings before you do: Predicting future affective reactions in human-computer dialogue. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-7).
[11] Chen, Z., Fu, C., & Tang, X. (2023, April). Multi-domain fake news detection with fuzzy labels. In International Conference on Database Systems for Advanced Applications (pp. 331-343). Cham: Springer Nature Switzerland.
[12] Fu, C., Liu, C., Ishi, C. T., & Ishiguro, H. (2022, November). C-CycleTransGAN: A Non-parallel Controllable Cross-gender Voice Conversion Model with CycleGAN and Transformer. In 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (pp. 553-559). IEEE.
[13] Fu, C., Liu, C., Ishi, C. T., & Ishiguro, H. (2022, October). A CONTROLLABLE CROSS-GENDER VOICE CONVERSION FOR SOCIAL ROBOT. In 2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) (pp. 1-4). IEEE.
[14] Yu, C., Fu, C., Chen, R., & Tapus, A. (2022, March). First attempt of gender-free speech style transfer for genderless robot. In 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 1110-1113). IEEE.
[15] Li, X., Ishi, C. T., Fu, C., & Hayashi, R. (2022, May). Prosodic and voice quality analyses of filled pauses in Japanese spontaneous conversation by Chinese learners and Japanese native speakers. In Proceedings of Speech Prosody (Vol. 2022, pp. 550-554).
[16] Fu, C., Liu, C., Ishi, C. T., & Ishiguro, H. (2021). Cycletransgan-evc: A cyclegan-based emotional voice conversion model with transformer. arXiv preprint arXiv:2111.15159.
[17] Fu, C., Liu, C., Ishi, C. T., & Ishiguro, H. (2021, June). MAEC: Multi-instance learning with an adversarial auto-encoder-based classifier for speech emotion recognition. In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6299-6303). IEEE.
[18] Fu, C., Liu, C., Ishi, C. T., & Ishiguro, H. (2021, January). An end-to-end multitask learning model to improve speech emotion recognition. In 2020 28th European Signal Processing Conference (EUSIPCO) (pp. 1-5). IEEE.
[19] Fu, C. (2021). JPS-daprinfo: A dataset for japanese dialog act analysis and people-related information detection. arXiv preprint arXiv:2103.11786.
[20] Fu, C., Shi, J., Liu, C., Ishi, C. T., & Ishiguro, H. (2020, October). AAEC: An adversarial autoencoder-based classifier for audio emotion recognition. In Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop (pp. 45-51).
[21] Shen, J., Fu, C., Deng, X., & Ino, F. (2020, May). A Study on Training Story Generation Models Based on Event Representations. In 2020 3rd International Conference on Artificial Intelligence and Big Data (ICAIBD) (pp. 210-214). IEEE.
[22] Fu, C., Liu, C., Ishi, C., Yoshikawa, Y., & Ishiguro, H. (2020, February). SeMemNN: A semantic matrix-based memory neural network for text classification. In 2020 IEEE 14th International Conference on Semantic Computing (ICSC) (pp. 123-127). IEEE.
[23] Fu, C., Dissanayake, T., Hosoda, K., Maekawa, T., & Ishiguro, H. (2020, February). Similarity of speech emotion in different languages revealed by a neural network with attention. In 2020 IEEE 14th international conference on semantic computing (ICSC) (pp. 381-386). IEEE.
Grants
2024- National Natural Science Foundation of China (Grant No. 62306068) – Leader
2024- Natural Science Foundation of Hebei Province, China (Grant No. F2024501002) – Leader
2018-2022 Humanware Innovation Program research support grant (専門分野研究活動支援金) – Leader
2020-2021 Humanware Innovation Program interdisciplinary research support grant（融合分野研究活動支援金）– Member
2021-2022 Humanware Innovation Program interdisciplinary research support grant（融合分野研究活動支援金）– Leader
Patents
Changzeng Fu; Chaoran Liu; Carlos Toshinori Ishi ; 基于图注意力机制的多模态情感分析模型, 2022-7-26, 日本, JP.2022072619.A
Changzeng Fu; Chaoran Liu; Carlos Toshinori Ishi ; 基于对抗编码器的情感数据增强训练方法集分类器, 2022-5-30, 日本, JP.202280435.A
Changzeng Fu; Chaoran Liu; Carlos Toshinori Ishi ; 基于隐层表征隔离高斯化的情感分类器,2022-10-6, 日本, JP.2022147397.A
Changzeng Fu; 一种基于多层级图注意力机制的对话行为识别方法, 中国，202310604666.7
Changzeng Fu; 具备情感交互能力的社交机器人及系统, 中国, 2002310755637.0
Awards
2021-2022 大阪大学国際共創大学院 独創的教育研究活動賞