Zhenshuo Zhang

According to our database, Zhenshuo Zhang authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points.

Dongyue Li, Zechun Liu, Kai Yi, Zhenshuo Zhang, Changsheng Zhao, Raghuraman Krishnamoorthi, Harshit Khaitan, Hongyang R. Zhang, Steven Li

CoRR, May, 2026

Efficient Estimation of Kernel Surrogate Models for Task Attribution.

Zhenshuo Zhang, Minxuan Duan, Hongyang R. Zhang

CoRR, February, 2026

One-Sided Matrix Completion from Ultra-Sparse Samples.

Hongyang R. Zhang, Zhenshuo Zhang, Huy L. Nguyen, Guanghui Lan

Trans. Mach. Learn. Res., 2026

A PLL-Less Grid Voltage Sensorless Improved Deadbeat Control for APF With LVRT Capability.

Jianling Liao, Wei Yuan, Zhenshuo Zhang, Shunyou Deng, Xu Zhang, Jia Zou

Int. J. Circuit Theory Appl., 2026

Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning.

Dongyue Li, Zhenshuo Zhang, Minxuan Duan, Edgar Dobriban, Hongyang R. Zhang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation.

Zhenshuo Zhang, Minxuan Duan, Youran Ye, Hongyang R. Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Hybrid DQN-TD3 Reinforcement Learning for Autonomous Navigation in Dynamic Environments.

Xiaoyi He, Danggui Chen, Zhenshuo Zhang, Zimeng Bai

CoRR, October, 2025

StarData: Distributed Map-Reduce Framework Atop Serverless Computing Platforms.

Shuhui Zhou, Xing He, Zhenshuo Zhang, Feng Gao, Yuan Hong, Ruijin Gao, Xiaoming Wang, Hongsheng Yun, Ruhui Ma, Jinshan Sun

IEEE Access, 2025

Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation.

Ziniu Zhang, Zhenshuo Zhang, Dongyue Li, Lu Wang, Jennifer G. Dy, Hongyang R. Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning.

Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang

Proceedings of the ACM on Web Conference 2024, 2024

MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning.

Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang

Proceedings of the ACM on Web Conference 2024, 2024

2023

Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework.

Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023