Feng-Qi Cui

Feng-Qi Cui

中文版

PhD Candidate@USTC

Simplicity is the ultimate sophistication.

I am a Ph.D. student in Artificial Intelligence at the School of Information Science and Technology, University of Science and Technology of China (USTC), affiliated with the National Engineering Laboratory for Brain-inspired Intelligence Technology and Application and advised by Prof. Xuejin Chen. During my graduate training, I joint training with Prof. Meng Wang (IEEE/IAPR Fellow)’s group at the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, advised by Assoc. Prof. Jinyang Huang and Prof. Dan Guo. I received my B.Eng. in Microelectronics from Hefei University of Technology in 2024.

My research focuses on multimodal representation learning and intelligent human-computer interaction. I study representations with spatiotemporal structure, cross-modal consistency, and cross-subject generalization from visual, neurophysiological, and environmental sensing data, enabling reliable understanding of human and system states and intelligent interaction in brain-computer interfaces, affective computing, and embodied intelligence. My work citations135 has appeared in Nature Communications, PNAS Nexus, ACM MM/UbiComp/TAAS, and IEEE TMM/TIFS/TDSC/TAFFC/TCE/TGRS/ICME/ICASSP. My honors include the National Scholarship for Graduate Students and the Pandeng Star Scholarship.

Education & Work

School of Information Science and Technology, University of Science and Technology of China
Ph.D. in Artificial Intelligence
Sep. 2024 - Present
Institute of Artificial Intelligence, Hefei Comprehensive National Science Center
Joint Training Program
Sep. 2024 - Jun. 2026
School of Microelectronics, Hefei University of Technology
B.Eng. in Microelectronics
Jun. 2020 - Jul. 2024

News

  • 2026.09: One paper on uncertainty-guided facial expression analysis is accepted to IEEE T-MM!
  • 2026.08: One collaborative paper on visual neuromorphic chip design is accepted to Nature Communications!
  • 2026.08: Two collaborative papers on ubiquitous wireless sensing are accepted to ACM UbiComp 2026!
  • 2026.07: One paper on EEG-fNIRS temporal affective analysis is accepted to ACM MM!
  • 2026.07: Our team won 1st Place in the ACM MM 2026 Multimodal Emotional Recognition (MER) Challenge Physiological Signal Emotion Track!
  • 2026.07: Two collaborative papers on digital human driving and affective dialogue generation are accepted to ACM MM 2026!
  • 2026.07: One paper on robust dynamic facial expression analysis is accepted to IEEE T-IFS!
  • 2026.06: One collaborative paper on EEG-based affective analysis is accepted to ACM T-AAS!
  • 2026.06: One collaborative paper on fine-grained behavior analysis is accepted to IEEE SMC!
  • 2026.05: One paper on fine-grained personality assessment is accepted to IEEE T-AFFC!
  • 2026.05: One paper on visual affective computing is accepted to IEEE T-CE!
  • 2026.04: One collaborative paper on embodied AI is accepted to IJCAI 2026!
  • 2026.04: One collaborative paper on EEG auditory attention decoding is accepted to CogSci 2026!
  • 2026.04: One collaborative paper on remote sensing scene classification is accepted to IEEE T-GRS!
  • 2026.03: One collaborative paper on low-light image super-resolution is accepted to IEEE ICME 2026!
  • 2026.02: One paper on handwritten identity verification is accepted to IEEE T-DSC!
  • 2026.01: One collaborative paper on 3D object detection is accepted to IEEE ICASSP 2026!
  • 2025.12: Received the Silver Award in the IEEE Communications Society Multimedia Communications Technical Committee 2025 Technology Competition!
  • 2025.09: One collaborative paper on depression estimation is accepted to IEEE T-AFFC!
  • 2025.07: One paper on distributionally robust optimization for DFER is accepted to ACM MM 2025!
  • 2025.02: One collaborative paper is accepted to PNAS Nexus (Press Interest Paper)!

Honors & Services

  • National Scholarship for Graduate Students, University of Science and Technology of China, 2026
  • Top Ten Outstanding Students, Hefei University of Technology, 2023
  • National Silver Award, The 8th China International College Students' "Internet+" Innovation and Entrepreneurship Competition, 2022, Project Leader
  • Baidu PaddlePaddle Developer Expert (PPDE)

Selected Publications

Papers

AI for Science

  • [Nat. Commun. '26] Shi Fang, Fakun Wang, Feng-Qi Cui, Jinyang Huang, Wenduo Chen, Chao Han, Hui Ma, Jianbo Yu, Zhenhan Zhang, Chongwu Wang, and Qi Jie Wang, “In-sensor multispectral perception for near- and mid-infrared discrimination,” Nature Communications, 2026.
  • [PNAS Nexus '25] Xiaoxing Lin, Rui Zhang, Feng-Qi Cui, Wenqing Hong, Shu Yang, Feng Ju, Chuanwu Xi, Xiao Sun, and Liyan Song, “Natural-selected plastics biodegradation species and enzymes in landfills,” PNAS Nexus, 2025.

Representation Learning for Brain-Inspired Intelligence

  • [ACM MM '26] Feng-Qi Cui, Jinyang Huang, Jia-Cheng Zhao, Sirui Zhao, Yi Yang, Dan Guo, Xiaokang Zhou, Zhun Zhong, Fusang Zhang, Jianwei Lu, Meng Li, and Bing-kun Bao, “SAIN: A Hierarchical Dynamics-Aware EEG-fNIRS Framework for Continuous Affect Estimation,” ACM International Conference on Multimedia, 2026.
  • [ACM MM '25] Feng-Qi Cui, Anyang Tong, Jinyang Huang, Jie Zhang, Dan Guo, Zhi Liu, and Meng Wang, “Learning from Heterogeneity: Generalizing Dynamic Facial Expression Recognition via Distributionally Robust Optimization,” ACM International Conference on Multimedia, 2025.
  • [TMM '26] Feng-Qi Cui, Jie Zhang, Jinyang Huang, Anyang Tong, Ziyu Jia, Zhi Liu, Dan Guo, and Meng Wang, “From Uncertainty to Certainty: A Robust Dynamic Facial Expression Recognition Framework via Dynamic Uncertainty Constraint Modeling,” IEEE Transactions on Multimedia, 2026.
  • [CogSci '26] Siying Tao, Jingjing Hu, Jinyang Huang, Feng-Qi Cui, Xueliang Liu, and Dan Guo, “Band-Gated Identity-Disentangled Training for Cross-Subject Auditory Attention Decoding,” Annual Meeting of the Cognitive Science Society, 2026.
  • [ICME '26] Ji-Xuan He, Jia-Cheng Zhao, Feng-Qi Cui* (Corresponding Author), Jinyang Huang*, Yang Liu, Sirui Zhao, Meng Li, and Zhi Liu, “Dual-Path Learning based on Frequency Structural Decoupling and Regional-Aware Fusion for Low-Light Image Super-Resolution,” IEEE International Conference on Multimedia and Expo, 2026.

Multimodal Affective Intelligence

  • [TAFFC '26] Feng-Qi Cui, Jinyang Huang, Sirui Zhao, Kun Li, Zhi Liu, Meng Li, Ziyu Jia, Dan Guo, and Meng Wang, “PersoMoni: A Comprehensive Video-Based Benchmark Dataset for Fine-grained Personality Assessment with 15 Trait Dimensions,” IEEE Transactions on Affective Computing, 2026.
  • [TIFS '26] Feng-Qi Cui, Anyang Tong, Jinyang Huang, Jie Zhang, Meng Li, Xin Yan, Linsheng Huang, Dan Guo, and Meng Wang, “Toward Trustworthy Dynamic Facial Expression Recognition via Information Bottleneck Modeling,” IEEE Transactions on Information Forensics and Security, 2026.
  • [TAAS '26] Xinhui Li, Hao Chen, Minchao Wu, Qingwei Song, Fan Li, Jinyang Huang, Feng-Qi Cui, and Zhao Lv, “MS2FL: Modality-shared and Modality-specific Feature Learning for Multimodal Emotion Recognition,” ACM Transactions on Autonomous and Adaptive Systems, 2026.
  • [ACM MM '26] Sirui Zhao, Yu Bai, Jinyang Huang, Fangyuan Liu, Feng-Qi Cui, Xinqi Chen, Guo Cheng, Tong Xu, and Enhong Chen, “MEC2-TT: Multimodal Emotion Consistency Correction and Trajectory Tracking for Empathetic Dialogue Generation,” ACM International Conference on Multimedia, 2026.
  • [ACM MM '26] Sirui Zhao, Yubo Huang, Xinchen Yao, Zhengye Zhang, Jinyang Huang, Feng-Qi Cui, Shiwei Wu, and Enhong Chen, “DynaForcing: Overcoming Dynamic Collapse in Self-Forcing Distillation for Streaming Avatar Generation,” ACM International Conference on Multimedia, 2026.

Human-Centered Embodied Intelligence

  • [TCE '26] Feng-Qi Cui, Jinyang Huang, Sirui Zhao, Xinyu Li, Xin Yan, Ziyu Jia, and Xiaokang Zhou, “Robust Low-Rank Sparse Framework for Video-Based Affective Computing,” IEEE Transactions on Consumer Electronics, 2026.
  • [TDSC '26] Jinyang Huang, Yuanhao Feng, Feng-Qi Cui (Equal Contribution), Xiang Zhang, Zhi Liu, Xin Liu, Jianchun Liu, Fusang Zhang, and Meng Li, “Identifying who you are no matter what you write through abstracting handwriting style,” IEEE Transactions on Dependable and Secure Computing, 2026.
  • [ICASSP '26] Xing Yi, Jinyang Huang, Feng-Qi Cui, Anyang Tong, Ruimin Wang, Liu Liu, and Dan Guo, “UniGeo: A Unified 3D Indoor Object Detection Framework Integrating Geometry-Aware Learning and Dynamic Channel Gating,” IEEE International Conference on Acoustics, Speech and Signal Processing, 2026.
  • [UbiComp '26] Meng Wang, Jinyang Huang, Yuanhao Feng, Feng-Qi Cui, Meng Li, Xiaokang Zhou, and Fusang Zhang, “Sensing Without Borders: A Sensing-Centric Handover Scheme for Continuous WiFi Sensing,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2026.
  • [UbiComp '26] Xinyu Li, Jinyang Huang, Meng Wang, Peng Zhao, Feng-Qi Cui, Yuanhao Feng, Zheng Gong, Feiyu Han, and Fusang Zhang, “Hiding Identity, Preserving Respiration: Semantic-Decoupled Privacy Protection for mmWave Radar Sensing,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2026.
  • [IJCAI '26] Changlin Chen, Sisheng Chen, Hang Zhang, Xianglai Zhou, Zhen Tian, Weitao Liu, Feng-Qi Cui, Erbao Dong, and Wenjing Chen, “PECHC: Robust Tactile Grasping Stabilization in Vision-Denied Peripersonal Space,” International Joint Conference on Artificial Intelligence, 2026.

Patents

  • [CN122432305B] Yi Yang, Jinyang Huang, Fei Yuan, Feng-Qi Cui, Qifan Cai, Junjie Wang, Meng Li, Dan Guo, and Meng Wang, Intelligent Multimodal Affective Inquiry System and Method Based on Large Models, Invention patent, granted.
  • [CN120877354B] Jinyang Huang, Yuzhang Guo, Jia-Cheng Zhao, Feng-Qi Cui, Tianyue Zheng, Dan Guo, and Meng Wang, Emotion Detection Method Based on Spatiotemporal Feature Fusion of Facial Landmarks, Invention patent, granted.
  • [CN117874205B] Xiao Sun, Aoyuan Zhang, Tengteng Dong, Feng-Qi Cui, and Meng Wang, Dialogue Generation Method and System for Virtual Patients Based on Multi-Turn Conversations, Invention patent, granted.
  • [CN117633629B] Xiao Sun, Kun Wang, Tengteng Dong, Feng-Qi Cui, and Meng Wang, Emotional Anomaly Detection Method and System Based on Weibo Emotion Sequences, Invention patent, granted.
  • [CN118888146B] Mingzheng Li, Xiao Sun, Xinke Wang, Feng-Qi Cui, and Meng Wang, Depression Severity Assessment Method and System Based on Causal Representation Learning, Invention patent, granted.