Yanjun Zhao - RankMe

17 papers A* 2A 1Misc 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	SABER: Switchable and Balanced Training for Efficient LLM Reasoning. AAAI Kai Zhao, Yanjun Zhao, Jiaming Song, Shien He, Lusheng Zhang, Qiang Zhang, Tianjiao Li
2025	—	`conf`	Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach. KDD (2) Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Rong Jin, Liang Sun
2025	J	`jnl`	FZOO: Fast Zeroth-Order Optimizer for Fine-Tuning Large Language Models towards Adam-Scale Speed. CoRR Sizhe Dang, Yangyang Guo, Yanjun Zhao, Haishan Ye, Xiaodong Zheng, Guang Dai, Ivor W. Tsang
2025	J	`jnl`	Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs. CoRR Kairun Zhang, Haoyu Li, Yanjun Zhao, Yifan Sun, Huan Zhang
2025	Misc	`conf`	Less Is More: Embracing Sparsity and Interpolation with Esiformer for Time Series Forecasting. ICASSP Yangyang Guo, Yanjun Zhao, Sizhe Dang, Tian Zhou, Liang Sun, Yi Qian
2025	—	`conf`	RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation. EMNLP (Findings) Tianjiao Li, Mengran Yu, Chenyu Shi, Yanjun Zhao, Xiaojing Liu, Qi Zhang, Xuanjing Huang, Qiang Zhang, Jiayin Wang
2025	J	`jnl`	RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation. CoRR Tianjiao Li, Mengran Yu, Chenyu Shi, Yanjun Zhao, Xiaojing Liu, Qiang Zhang, Qi Zhang, Xuanjing Huang, Jiayin Wang
2025	J	`jnl`	RiskPO: Risk-based Policy Optimization via Verifiable Reward for LLM Post-Training. CoRR 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
2025	J	`jnl`	SABER: Switchable and Balanced Training for Efficient LLM Reasoning. CoRR Kai Zhao, Yanjun Zhao, Jiaming Song, Shien He, Lusheng Zhang, Qiang Zhang, Tianjiao Li
2025	A*	`conf`	Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. ICLR Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang
2025	Misc	`conf`	Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series. ICASSP Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin
2024	J	`jnl`	Less is more: Embracing sparsity and interpolation with Esiformer for time series forecasting. CoRR Yangyang Guo, Yanjun Zhao, Sizhe Dang, Tian Zhou, Liang Sun, Yi Qian
2024	J	`jnl`	Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. CoRR Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang
2024	J	`jnl`	Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting. CoRR Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin
2023	J	`jnl`	GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. CoRR Yanjun Zhao, Ziqing Ma, Tian Zhou, Liang Sun, Mengni Ye, Yi Qian
2023	A	`conf`	GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. CIKM Yanjun Zhao, Ziqing Ma, Tian Zhou, Mengni Ye, Liang Sun, Yi Qian
2023	J	`jnl`	SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting. CoRR Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Liang Sun, Rong Jin