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ORCIDYanjun Zhao 0001
Person information
- affiliation: University of Illinois at Urbana-Champaign, School of Information Sciences, Urbana, IL, USA
- affiliation: Alibaba, DAMO Academy, China
- affiliation (former): Xi'an Jiaotong University, Xi'an, China
Other persons with the same name
- Yanjun Zhao — disambiguation page
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2020 – today
- 2025
[c5]Yangyang Guo, Yanjun Zhao, Sizhe Dang, Tian Zhou, Liang Sun, Yi Qian:
Less Is More: Embracing Sparsity and Interpolation with Esiformer for Time Series Forecasting. ICASSP 2025: 1-5- [c4]Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin:
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series. ICASSP 2025: 1-5 - [c3]Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang:
Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. ICLR 2025 - [c2]Chao Chen
, Tian Zhou, Yanjun Zhao, Hui Liu, Rong Jin, Liang Sun:
Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach. KDD (2) 2025: 143-154 - [i10]Tianjiao Li, Mengran Yu, Chenyu Shi, Yanjun Zhao, Xiaojing Liu, Qiang Zhang, Qi Zhang, Xuanjing Huang, Jiayin Wang:
RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation. CoRR abs/2506.05070 (2025) - [i9]Sizhe Dang, Yangyang Guo, Yanjun Zhao, Haishan Ye, Xiaodong Zheng, Guang Dai, Ivor W. Tsang:
FZOO: Fast Zeroth-Order Optimizer for Fine-Tuning Large Language Models towards Adam-Scale Speed. CoRR abs/2506.09034 (2025) - [i8]Kai Zhao, Yanjun Zhao, Jiaming Song, Shien He, Lusheng Zhang, Qiang Zhang, Tianjiao Li:
SABER: Switchable and Balanced Training for Efficient LLM Reasoning. CoRR abs/2508.10026 (2025) - [i7]Kairun Zhang, Haoyu Li, Yanjun Zhao, Yifan Sun, Huan Zhang:
Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs. CoRR abs/2510.00419 (2025) - [i6]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:
RiskPO: Risk-based Policy Optimization via Verifiable Reward for LLM Post-Training. CoRR abs/2510.00911 (2025) - 2024
- [i5]Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin:
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting. CoRR abs/2402.05830 (2024) - [i4]Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang:
Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. CoRR abs/2402.15173 (2024) - [i3]Yangyang Guo, Yanjun Zhao, Sizhe Dang, Tian Zhou, Liang Sun, Yi Qian:
Less is more: Embracing sparsity and interpolation with Esiformer for time series forecasting. CoRR abs/2410.05726 (2024) - 2023
- [c1]Yanjun Zhao, Ziqing Ma, Tian Zhou, Mengni Ye, Liang Sun, Yi Qian:
GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. CIKM 2023: 3464-3473 - [i2]Yanjun Zhao, Ziqing Ma, Tian Zhou, Liang Sun, Mengni Ye, Yi Qian:
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. CoRR abs/2306.08325 (2023) - [i1]Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Liang Sun, Rong Jin:
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting. CoRR abs/2312.03406 (2023)
Coauthor Index
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