Frank Zhengqing Wu

Affiliations:
  • École Polytechnique Féedérale de Lausanne (EPFL), Lausanne, Switzerland
  • Westlake University, School of Engineering, Machine Intelligence Lab (MiLAB), Hangzhou, China
  • Xi'an Jiaotong University, Department of Electrical Engineering, Xi'an, China


According to our database1, Frank Zhengqing Wu authored at least 9 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
LACUNA: Safe Agents as Recursive Program Holes.
CoRR, May, 2026

2025
Layer-wise Quantization for Quantized Optimistic Dual Averaging.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Quantum-PEFT: Ultra parameter-efficient fine-tuning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
The Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escaping, and Network Embedding.
CoRR, 2024

Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2021
Terrain-Aware Risk-Assessment-Network-Aided Deep Reinforcement Learning for Quadrupedal Locomotion in Tough Terrain.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Hierarchical Terrain-Aware Control for Quadrupedal Locomotion by Combining Deep Reinforcement Learning and Optimal Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Analysis of the Dynamic Oscillatory Process of a Neural-type Cell (NTC) and Its Input Voltage Bounds.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020


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