Wenqing Zheng

Orcid: 0000-0002-8283-7511

According to our database1, Wenqing Zheng authored at least 22 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
CoRR, 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

Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs.
IEEE Data Eng. Bull., 2023

You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction.
CoRR, 2023

Search Behavior Prediction: A Hypergraph Perspective.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation.
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

Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search.
CoRR, 2022

Symbolic Distillation for Learned TCP Congestion Control.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.
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

Symbolic Learning to Optimize: Towards Interpretability and Scalability.
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

Structured Dropconnect for Uncertainty Inference in Image Classification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Balance Design of Production Line in Engine Assembly Workshop.
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

Structured DropConnect for Uncertainty Inference in Image Classification.
CoRR, 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
Web of Scholars: A Scholar Knowledge Graph.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019
Blind Image Blur Assessment Based on Markov-Constrained FCM and Blur Entropy.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Joint Position, Orientation AND Channel Estimation in Hybrid mmWAVE MIMO Systems.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019


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