Publications

Papers Under Review

  1. Zhe Li, Man-Wai Mak, Jen-Tzung Chien, Mert Pilanci, Zezhong Jin, and Helen Meng, โ€œDisentangling Speech Representations Learning with Latent Diffusion for Speaker Verification,โ€ in IEEE/ACM Transactions on Audio, Speech and Language Processing.
  2. Zhe Li, Man-Wai Mak, Mert Pilanci, Hung Yi Lee, and Helen Meng, โ€œTowards a Unified View of Parameter-Efficient Speech Pretrained Models for Speaker Verification,โ€ in IEEE/ACM Transactions on Audio, Speech and Language Processing.

๐Ÿ“” 2025

  1. Zhe Li, Man-Wai Mak, Mert Pilanci, and Helen Meng, โ€œMutual Information-Enhanced Contrastive Learning with Margin for Maximal Speaker Separability,โ€ in IEEE/ACM Transactions on Audio, Speech and Language Processing. SCI Q1 Top.
  2. Jiabao Sheng, Zhe Li, Jiang Zhang, Saikit Lam, Zhi Chen, Lei Xing, and Jing Cai, โ€œBoosting Generalizability in NPC ART Prediction via Multi-Omics Feature Mapping,โ€ presented at the Proc. of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Daejeon, South Korea, Sep. 2025.
  3. Zhe Li, Man-Wai Mak, Jen-Tzung Chien, Mert Pilanci, Zezhong Jin, and Helen Meng, โ€œDisentangling Speaker and Content in Pre-trained Speech Models with Latent Diffusion for Robust Speaker Verification,โ€ in Proceedings of Interspeech, Rotterdam, Netherlands, 2025. CCF C
  4. Chong-xin Gan, Zhe Li, Zezhong Jin, Zilong Huang, Man-Wai Mak, Kong Aik Lee, IDIR: Identifying and Distilling Informative Relations for Speaker Verification, Proceedings of InterSpeech, Rotterdam, Netherlands, 2025. CCF C
  5. Tiquan Gu, Zhenzhen He, Zhe Li, and Yaling Wan, โ€œInformation-assisted and sentiment relation-driven for aspect-based sentiment analysis,โ€ Expert Systems with Applications, vol. 278, p. 127308, 2025. SCI Q1 CCF C.
  6. Zhe Li, Man-Wai Mak, Mert Pilanci, Hung Yi Lee, and Helen Meng, โ€œSpectral-Aware Low-Rank Adaptation for Speaker Verification,โ€ in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. CCF B.
  7. Zezhong Jin, Youzhi Tu, Zhe Li, Zilong Huang, Chongxin Gan, and Man-Wai Mak, โ€œDenoising Student Features with Diffusion Models for Knowledge Distillation in Speaker Verificationโ€, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. CCF B.
  8. Liting Jiang, Di Wu, Zhe Li, Shuangyong Song, Yanbing Li, and Hao Huang, โ€œUtterance as A Bridge: Few-shot Joint Learning of Empathy Detection and Empathy Intent Classificationโ€, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. CCF B.
  9. Ivan Villa-Renteria, Mason Wang, Zachary Shah, Zhe Li, Soohyun Kim, Neelesh Ramachandran, and Mert Pilanci, โ€œSubtractive Training for Music Stem Insertion using Diffusion Models,โ€ in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. CCF B.

๐Ÿ“” 2024

  1. Chenyu Zhou, Xiuhong Li, Zhe Li, et al., โ€œEnhancing multimodal rumor detection with statistical image features and modal alignment via contrastive learning,โ€ in Proceedings of the Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2024. CCF C. Best Student Paper Runner-Up Award
  2. Tianchi Qiu, Xiuhong Li, Zhe Li, et al., โ€œLocate, enhance and fuse: a progressively optimized network for camouflaged object detection,โ€ Multimedia Tools and Applications, vol. xxx, no. xxx, pp. xxx-xxx, 2024. SCI Q3 CCF C.
  3. Xiaofan Wang, Xiuhong Li, Zhe Li, et al., โ€œMultimodal sentiment analysis model based on alignment prompt learning,โ€ in Proceedings of the Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2024. CCF C.
  4. Zhe Li, Man-Wai Mak, Hung Yi Lee, and Helen Meng, โ€œParameter-efficient fine-tuning of speaker-aware dynamic prompts for speaker verification,โ€ in Proceedings of InterSpeech, 2024. CCF C.
  5. Guinan Li, Jiajun Deng, Zhe Li, et al., โ€œJoint speaker features learning for audio-visual multichannel speech separation and recognition,โ€ in Proceedings of InterSpeech, 2024. CCF C.
  6. Zhenzhen He, Jiong Yu, Zhe Li, et al., โ€œCardinality estimation for property graph queries with gated learning approach on the graph database,โ€ Multimedia Tools and Applications, 2024. SCI Q3 CCF C.
  7. Wandi Wang, Mahdi Motagh, Zhe Li, et al., โ€œA framework for automated landslide dating utilizing SAR-derived parameters time-series, an enhanced transformer model, and dynamic thresholding,โ€ International Journal of Applied Earth Observation and Geoinformation, vol. 129, 2024. SCI Q1 Top.
  8. Songlin Li, Xiuhong Li, Zhe Li, et al., โ€œDual guidance enhancing camouflaged object detection via focusing boundary and localization representation,โ€ in Proceedings of IEEE International Conference on Multimedia and Expo (ICME), 2024. CCF B.
  9. Dan Yang, Xiuhong Li, Zhe Li, et al., โ€œPrompt fusion interaction transformer for aspect-based multimodal sentiment analysis,โ€ in Proceedings of IEEE International Conference on Multimedia and Expo (ICME), 2024. CCF B.
  10. Songlin Li, Xiuhong Li, Zhe Li, et al., โ€œBoundary-guided fusion of multi-level features network for camouflaged object detection,โ€ in Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2024. CCF C.
  11. Fan Chen, Xiuhong Li, Zhe Li, et al., โ€œMultimodal rumor detection via multimodal prompt learning,โ€ in Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2024. CCF C.
  12. Zhe Li, Man-Wai Mak, and Helen Meng, โ€œDual parameter-efficient fine-tuning for speaker representation via speaker prompt tuning and adapters,โ€ in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. CCF B.
  13. Di Wu, Liting. Jiang, Lili Yin, Kai Wang, Haoxiang Su, Zhe Li, and Hao Huang, โ€œDual level intent-slot interaction for improved multi-intent spoken language understanding,โ€ in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. CCF B.

๐Ÿ“” 2023

  1. Zhe Li, Man-Wai Mak, and Helen Meng, โ€œDiscriminative Speaker Representation via Contrastive Learning with Class-Aware Attention in Angular Space,โ€ in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023. CCF B.
  2. Jiabao Sheng, Zhe Li, Sai-Kit Lam, Jiang Zhang, Xinzhi Teng, Yuanpeng Zhang, Jing Cai, โ€œMulti-view Contrastive Learning with Additive Margin for Adaptive Nasopharyngeal Carcinoma Radiotherapy Prediction,โ€ in Proceedings of the 2023 International Conference on Multimedia Retrieval, 2022. CCF B.
  3. Feng Yan, Zhe Li, Yanbing Li, Wushour Silamu, โ€œKnowledge-aware Image Understanding with Multi-level Visual Representation Enhancement for Visual Question Answering,โ€ Machine Learning, pp. 1-17, 2023. SCI Q1 CCF B.
  4. Jun Shi, Zhe Li, โ€œKnowledge Transfer via Leveraging Teacher-Student Network with Visual Attention to Enhance Atmospheric Sand Image Restoration,โ€ in Proceedings of Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023. CCF C.
  5. Chenyu Zhou, Xiuhong Li, Zhe Li, โ€œMultimodal Rumor Detection by Using Additive Angular Margin with Class-aware Attention for Hard Samples,โ€ in Proceedings of Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023. CCF C.
  6. Songlin Li, Xiuhong Li, Zhe Li, โ€œEmphasizing Boundary-Positioning and Leveraging Multi-Scale Feature Fusion for Camouflaged Object Detection,โ€ in Proceedings of Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023. CCF C.
  7. Qinglang Guo, Yong Liao, Zhe Li, et al., โ€œNeighborhood-Aware Convolutional Models for Effective Link Prediction in Knowledge Graph Embedding,โ€ in IJCAI Workshop, 2023. CCF A.
  8. Zhenzhen He, Jiong Yu, Zhe Li, et al., โ€œQuery cost estimation in graph databases via emphasizing query dependencies by using a neural reasoning network,โ€ Concurrency and Computation: Practice and Experience, vol. 35, no. 23, e7817, 2023. SCI Q2 CCF C.
  9. Di Wu, Liting Jiang, Lili Yin, Zhe Li, and Hao Huang, โ€œCEA-Net: A Co-interactive External Attention Network for Joint Intent Detection and Slot Filling,โ€ Neural Computing and Applications, pp. 1-13, 2023. SCI Q2 CCF C.
  10. Yan Ke, Wanghao Mo, Zhe Li, Ruyi Cao, and Wendong Zhang, โ€œMDCN: Multi-scale Dilated Convolutional Enhanced Residual Network for Traffic Sign Detection,โ€ in Proceedings of International Conference on Advanced Data Mining and Applications, Springer Nature Switzerland, pp. 584-597, 2023. CCF C.
  11. Zhenyu Yang, Yu Wang, Guojing Liu, Zhe Li, and Xingang Wang, โ€œRecommendation Model Based on Multi-grained Interaction that Fuses Usersโ€™ Dynamic Interests,โ€ International Journal of Machine Learning and Cybernetics, pp. 1-15, 2023. SCI Q1.
  12. Qinglang Guo, Yong Liao, Zhe Li, et al., โ€œMulti-Modal Representation via Contrastive Learning with Attention Bottleneck Fusion and Attentive Statistics Features,โ€ Entropy, vol. 25, no. 10, 2023, pp. 1421. SCI Q2.
  13. Qinglang. Guo, Yong. Liao, Zhe Li, et al., โ€œConvolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding,โ€ Entropy, vol. 25, no. 10, 2023, pp. 1472. SCI Q2.

๐Ÿ“” 2022

  1. Zhe Li and Man-Wai Mak, โ€œSpeaker Representation Learning via Contrastive Loss with Maximal Speaker Separability,โ€ in Proceedings of the 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 962-967, 2022.
  2. Huiru Wang, Xiuhong Li, Zhe Li, et al., โ€œSurvey of multimodal pre-training models,โ€ Journal of Computer Applications, vol. 43, no. 4, pp. 991, 2023.
  3. Chunming Ma, Xiuhong Li, Zhe Li, et al., โ€œSurvey of event extraction,โ€ Journal of Computer Applications, vol. 42, no. 10, pp. 2975, 2022.

๐Ÿ“” 2021

  1. Zunwang Ke, Jiabao Sheng, Zhe Li, Wushour. Silamu, and Qinglang Guo, โ€œKnowledge-Guided Sentiment Analysis Via Learning From Natural Language Explanations,โ€ IEEE Access, vol. 9, pp. 3570-3578, 2021. SCI Q1.
  2. Zeyu Ren, Zhenchao Wang, Zunwang Ke, Zhe Li, and Wushour Silamu, โ€œA survey of multimodal data fusion,โ€ Computer Engineering and Applications, vol. 57, no. 18, pp. 49-64, 2021.
  3. Yuze Li, Xin Luan, Zunwang Ke, Zhe Li, and Wushour Silamu, โ€œA survey of knowledge-guided pre-trained language models,โ€ Computer Engineering, pp. 18-33, 2023.
  4. Wanyue Liu, Aishan Wumaier, Zhe Li, Yue Han, Daren Zhang, Nian Yi. Neural Machine Translation Based on Multi-sub-word Sequence Fusion. Journal of Chinese Information Processing. vol. 37, no. 2, pp. 87-96, 106, 2023.

๐Ÿ“” 2020

  1. Zhe Li, Xiuhong Li, Jiabao Sheng, et al., โ€œAgglutiFiT: Efficient Low-Resource Agglutinative Language Model Fine-Tuning,โ€ IEEE Access, vol. 8, pp. 148489-148499, 2020. SCI Q1.
  2. Zhe Li, Mieradilijiang Maimaiti, Jiabao Sheng, et al., โ€œAn Empirical Study on Deep Neural Network Models for Chinese Dialogue Generation,โ€ Symmetry-Basel, vol. 12, no. 11, p. 1756, 2020. SCI Q2.
  3. Xiuhong Li, Zhe Li, Jiabao Sheng, et al., โ€œLow-Resource Text Classification via Cross-lingual Language Model Fine-tuning,โ€ in Proceedings of the 19th Chinese National Conference on Computational Linguistics, pp. 994-1005, 2020. [C]
  4. Qing Yu, Zhe Li, Jiabao Sheng, et al., โ€œYuQ: A Chinese-Uyghur Medical Domain Neural Machine Translation Dataset Towards Knowledge-driven,โ€ in Proceedings of the 16th China Conference on Machine Translation (CCMT), 2020. [C]
  5. Zunwang Ke, Zhe Li, Chenzhi Zhou, et al., โ€œRumor Detection on Social Media via Fused Semantic Information and a Propagation Heterogeneous Graph,โ€ Symmetry-Basel, vol. 12, no. 11, p. 1806, 2020. SCI Q2.
  6. Jiabao Sheng, Aishan Wumaier, Zhe Li, โ€œPOISE: Efficient Cross-Domain Chinese Named Entity Recognization via Transfer Learning,โ€ Symmetry-Basel, vol. 12, no. 10, p. 1673, 2020. SCI Q2.
  7. Xiangpeng Kong, Wushour Silamu, Qimeng Yang, and Zhe Li, โ€œUyghur Named Entity Recognition via Transfer Learning,โ€ Journal of Northeast Normal University (Natural Science Edition), vol. 52, no. 2, pp. 58โ€“65, 2020.