Yanjun Zhao

According to our database, Yanjun Zhao authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

SABER: Switchable and Balanced Training for Efficient LLM Reasoning.

Kai Zhao, Yanjun Zhao, Jiaming Song, Shien He, Lusheng Zhang, Qiang Zhang, Tianjiao Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

RiskPO: Risk-based Policy Optimization via Verifiable Reward for LLM Post-Training.

Tao Ren, Jinyang Jiang, Hui Yang, Wan Tian, Minhao Zou, Guanghao Li, Zishi Zhang, Qinghao Wang, Shentao Qin, Yanjun Zhao, Rui Tao, Hui Shao, Yijie Peng

CoRR, October, 2025

Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs.

Kairun Zhang, Haoyu Li, Yanjun Zhao, Yifan Sun, Huan Zhang

CoRR, October, 2025

FZOO: Fast Zeroth-Order Optimizer for Fine-Tuning Large Language Models towards Adam-Scale Speed.

Sizhe Dang, Yangyang Guo, Yanjun Zhao, Haishan Ye, Xiaodong Zheng, Guang Dai, Ivor W. Tsang

CoRR, June, 2025

Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach.

Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Rong Jin, Liang Sun

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer.

Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series.

Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Less Is More: Embracing Sparsity and Interpolation with Esiformer for Time Series Forecasting.

Yangyang Guo, Yanjun Zhao, Sizhe Dang, Tian Zhou, Liang Sun, Yi Qian

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation.

Tianjiao Li, Mengran Yu, Chenyu Shi, Yanjun Zhao, Xiaojing Liu, Qi Zhang, Xuanjing Huang, Qiang Zhang, Jiayin Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting.

Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin

CoRR, 2024

2023

SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting.

Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Liang Sun, Rong Jin

CoRR, 2023

GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting.

Yanjun Zhao, Ziqing Ma, Tian Zhou, Liang Sun, Mengni Ye, Yi Qian

CoRR, 2023

GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting.

Yanjun Zhao, Ziqing Ma, Tian Zhou, Mengni Ye, Liang Sun, Yi Qian

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023