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  1. T. Kang, W. Ding, P. Chen. CRESPR: Modular Sparsification of DNNs to Improve Pruning Performance and Model Interpretability. To appear in Neural Networks Journal.
  2. Weihua Ding, Liuyue Yang, Eleanor Shi, Bowon Kim, Sarah Low, Kun Hu, Lei Gao, Ping Chen, Wei Ding, David Borsook, Andrew Luo, Jee Hyun Choi, Changning Wang, Oluwaseun Akeju, Jun Yang, Chongzhao Ran, Kristin Schreiber, Jianren Mao, Qian Chen, Guoping Feng, Shiqian Shen. The endocannabinoid N-arachidonoyl dopamine is critical for hyperalgesia induced by chronic sleep disruption. Nature Communications 14, 6696 (2023). https://doi.org/10.1038/s41467-023-42283-6
  3. W. Li, C. Gu, J. Chen, C. Ma, X. Zhang, B. Chen, P. Chen. DW-GAN: Towards High-Fidelity Color-Tones of GAN-Generated Images with Dynamic Weights. IEEE Transactions on Neural Networks and Learning Systems, 9/2023, doi: 10.1109/TNNLS.2023.3311545.
  4. W. Li, J. Chen, P. Flynn, W. Ding, P. Chen. Reducing Mode Collapse With MongeľKantorovich Optimal Transport for Generative Adversarial Networks. IEEE Transactions on Cybernetics, 8/2023. doi: 10.1109/TCYB.2023.3296109
  5. W. An, F. Tian, W. Ding, P. Chen, Q. Zheng. New User Intent Discovery with Robust Pseudo Label Training and Source Domain Joint-training. IEEE Intelligent Systems vol. 38, no. 4, pp. 21-31, July-Aug. 2023, doi: 10.1109/MIS.2023.3283909
  6. W. Li, J. Chen, P. Chen. EID-GAN: Generative Adversarial Nets for Extremely Imbalanced Data Augmentation, IEEE Transactions on Industrial Informatics, vol. 19, no. 3, pp. 3208-3218, March 2023, doi: 10.1109/TII.2022.3182781.
  7. Z. Li, K. Amaral, W. Ding, S. Crouter, P. Chen. SummerTime: Variable-length Time Series Summarization with Applications to Physical Activity Analysis. ACM Transactions on Computing for Healthcare Volume 3 Issue 4 Article No.: 47pp 1ľ15 https://doi.org/10.1145/3532628
  8. S. Bai, A. Wen, F. Tian, Y. Chen, Y. Wu, Q. Wang, P. Chen. A Unified Knowledge Transfer Network for Generalized Category Discovery. The 38th AAAI Conference on Artificial Intelligence (AAAI-24).
  9. A. Wen, F. Tian, S. Bai, Y. Chen, Q. Wang, Y. Wu, P. Chen. Transfer and Alignment Network for Generalized Category Discovery. The 38th AAAI Conference on Artificial Intelligence (AAAI-24).
  10. Yong Zhuang, David L Small, Patrick D Flynn, Shafiqul Islam, Ping Chen, and Wei Ding. CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting. IEEE BigData, 2023. Sorrento, Italy.
  11. A. Wen, F. Tian, Y. Wang, W. Ding, Q. Zheng. P. Chen. DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery. EMNLP 2023. Singapore. 12/2023.
  12. A. Wen, F. Tian, Y. Wang, W. Ding, Q. Zheng. P. Chen. A Diffusion Weighted Graph Framework for New Intent Discovery. EMNLP 2023. Singapore. 12/2023.