Wenqing Zheng
Orcid: 0000-0002-8283-7511
According to our database1,
Wenqing Zheng
authored at least 24 papers
between 2019 and 2025.
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Bibliography
2025
Symbolic Visual Reinforcement Learning: A Scalable Framework With Object-Level Abstraction and Differentiable Expression Search.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025
2024
It's better than nothing: The influence of service failures on user reusage intention in AI chatbot.
Electron. Commer. Res. Appl., 2024
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Integrating the traffic science with representation learning for city-wide network congestion prediction.
Inf. Fusion, November, 2023
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction.
Trans. Mach. Learn. Res., 2023
Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs.
IEEE Data Eng. Bull., 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022
2021
Exploring the molecular basis of UG-rich RNA recognition by the human splicing factor TDP-43 using molecular dynamics simulation and free energy calculation.
J. Comput. Chem., 2021
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019