1. Zinan Zeng, Zhenyu Ding, Bo Zhang, Mingyang Wan, Caigui Jiang, Ning Ding, SVPO: A LLM Reinforcement Learning Method Based on Stepwise Value Estimation, ICASSP 2026. (CCF-B)
2. Yiming Liang, Ning Ding, Meiqin Liu, Shanling Dong, Mingyang Wan, Reward-based Efficient Demonstration Selection for In-context Learning, ICASSP 2026. (CCF-B)
3. Ziyang Zhang, Yuechen Lin, Xuanxuan An, Mingyang Wan, Caigui Jiang, Ning Ding, Attn-Defense: Attention-Guided Detection, Location and Removal for Indirect Prompt Injection, ICASSP 2026. (CCF-B)
4. Zhenyu Ding, Yuhao Wang, Tengyue Xiao, Haoying Wang, Caigui Jiang, Ning Ding, W2S-AlignTree: Weak-to-Strong Inference-Time Alignment for Large Language Models via Monte Carlo Tree Search, AAAI Conference on Artificial Intelligence (AAAI) 2026. (CCF-A, Oral, 1059/23680, Top 4.5%)
5. Hongyuan Min, Ning Ding, Mingyang Wan, Guojun Ma, Caigui Jiang, AGCNet: Improving Inertial Odometry via IMU Accelerometer and Gyroscope Online Compensation, IROS2025. (机器人领域顶会)
6. Houyi Li, Wenzhen Zheng, Qiufeng Wang, Zhenyu Ding, Haoying Wang, Zili Wang, Shijie Xuyang, Ning Ding, Shuigeng Zhou, Xiangyu Zhang, Daxin Jiang, Farseer: A Refined Scaling Law in Large Language Models, Annual Conference on Neural Information Processing Systems (NeurIPS) 2025. (CCF-A, Spotlight, 688/21575, Top 3.2%)
7. Dai Yusheng, Hang Chen, Jun Du, Xiaofei Ding, Ning Ding, Feijun Jiang, and Chin-Hui Lee. 2023. "Improving audio-visual speech recognition by lip-subword correlation based visual pre-training and cross-modal fusion encoder." In 2023 IEEE International Conference on Multimedia and Expo (ICME), 2627–32. (CCF-B)
8. Jianlong Wu, Haozhe Yang, Tian Gan, Ning Ding, Feijun Jiang, Liqiang Nie, CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning. Conference on Computer Vision and Pattern Recognition (CVPR) 2023, pp.15762-15772, Jun. 2023. (CCF-A)
9. Haozhe Yang, Xianqiang Gao, Jianlong Wu, Tian Gan, Ning Ding, Feijun Jiang and Liqiang Nie, Self-adaptive Context and Modal-interaction Modeling For Multi-modal Emotion Recognition. Association for Computational Linguistics (ACL) 2023, pp. 6267–6281, Jul. 2023(CCF-A)
10. Zorila, C., Li, M., Hayakawa, D., Liu, M., Ding, N., Doddipatla, R. (2020) Toshiba’s Speech Recognition System for the CHiME 2020 Challenge, International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.62-66, May. 2020 (CCF-B)
11. H. Fujimura, N. Ding, D. Hayakawa, and T. Kagoshima, “Simultaneous Flexible Keyword Detection and Text-dependent Speaker Recognition for Low-resource Devices”, International Conference on Pattern Recognition Applications and Methods (ICPRAM),pp.297-307, Valletta, Malta, Feb. 2020.
12. K. Fujimoto, N. Ding, and N. Hamada, “Multiple Sources' Direction Finding by using Reliable Component on Phase Difference Manifold and Kernel Density Estimator”, ICASSP 2012, pp.2601-2604, Kyoto, Japan, Mar. 2012. (CCF-B)
13. N. Ding and N. Hamada, “DOA estimation in underdetermined stereophonic mixture by kernel density estimator,” ISPACS 2011, pp.1-5, Chiangmai, Thailand, Dec. 2011.
14. N. Ding and N. Hamada, “Speaker localization and speech separation using phase difference versus frequency distribution,” EUSIPCO 2011, pp.250-253, Barcelona, Spain, Aug. 2011.