Yichen Zhu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Yichen Zhu 001 (Midea Group, AI Lab, Shanghai, Guangdong, China)
- Yichen Zhu 002 (Shanghai Jiao Tong University, Shanghai Key Laboratory of Scalable Computing and Systems, China)
Bibliography
2026
CoRR, April, 2026
CoRR, January, 2026
AutoDriDM: An Explainable Benchmark for Decision-Making of Vision-Language Models in Autonomous Driving.
CoRR, January, 2026
IEEE Trans. Reliab., 2026
Proceedings of the ACM Web Conference 2026, 2026
2025
"Pull or Not to Pull?": Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas.
CoRR, August, 2025
IEEE Trans. Cogn. Commun. Netw., April, 2025
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2025
Federated Deep Reinforcement Learning for Multimodal Content Caching in Edge-Cloud Networks.
IEEE Trans. Netw. Sci. Eng., 2025
ADFEmu: Enhancing Firmware Fuzzing with Direct Memory Access (DMA) Input Emulation Using Concolic Execution and Large Language Models (LLMs).
Comput. Mater. Continua, 2025
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
2024
PIV investigation on corner separation control in a compressor cascade based on a vortex generator.
J. Vis., April, 2024
An Adaptive Second-order Method for a Class of Nonconvex Nonsmooth Composite Optimization.
CoRR, 2024
When Training-Free NAS Meets Vision Transformer: A Neural Tangent Kernel Perspective.
CoRR, 2024
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
When Training-Free Nas Meets Vision Transformers: A Neural Tangent Kernel Perspective.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models.
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
Reliab. Eng. Syst. Saf., 2022
Fine-grained facial expression recognition via relational reasoning and hierarchical relation optimization.
Pattern Recognit. Lett., 2022
Polynomial affine approach to HARA utility maximization with applications to OrnsteinUhlenbeck 4/2 models.
Appl. Math. Comput., 2022
2020
Evolving Neural Networks for Prediction with Negative Correlation Search: Application in Consumer Demand Forecasting.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
2019
Dynamic Window with Virtual Goal (DW-VG): a New Reactive Obstacle Avoidance Approach Based on Motion Prediction.
Robotica, 2019
2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis.
Proceedings of the 35th International Conference on Machine Learning, 2018