GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. - Yanjun Zhao 001; Ziqing Ma; Tian Zhou 004; Mengni Ye; Liang Sun 001; Yi Qian 004 (CIKM, 2023)

GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. - Yanjun Zhao 001; Ziqing Ma; Tian Zhou 004; Liang Sun 001; Mengni Ye; Yi Qian 004 (CoRR, 2023)

SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting. - Chao Chen; Tian Zhou 004; Yanjun Zhao 001; Hui Liu 023; Liang Sun 001; Rong Jin 001 (CoRR, 2023)

Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting. - Yanjun Zhao 001; Tian Zhou 004; Chao Chen; Liang Sun 001; Yi Qian 004; Rong Jin 001 (CoRR, 2024)

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation. - Tianjiao Li; Mengran Yu; Chenyu Shi; Yanjun Zhao 001; Xiaojing Liu; Qi Zhang 020; Xuanjing Huang 001; Qiang Zhang; Jiayin Wang (EMNLP (Findings), 2025)

Less Is More: Embracing Sparsity and Interpolation with Esiformer for Time Series Forecasting. - Yangyang Guo; Yanjun Zhao 001; Sizhe Dang; Tian Zhou 004; Liang Sun 001; Yi Qian 004 (ICASSP, 2025)

Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series. - Yanjun Zhao 001; Tian Zhou 004; Chao Chen; Liang Sun 001; Yi Qian 004; Rong Jin 001 (ICASSP, 2025)

Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. - Yanjun Zhao 001; Sizhe Dang; Haishan Ye; Guang Dai; Yi Qian 004; Ivor W. Tsang (ICLR, 2025)

Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach. - Chao Chen; Tian Zhou 004; Yanjun Zhao 001; Hui Liu 023; Rong Jin 001; Liang Sun 001 (KDD (2), 2025)

FZOO: Fast Zeroth-Order Optimizer for Fine-Tuning Large Language Models towards Adam-Scale Speed. - Sizhe Dang; Yangyang Guo; Yanjun Zhao 001; Haishan Ye; Xiaodong Zheng; Guang Dai; Ivor W. Tsang (CoRR, 2025)

Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs. - Kairun Zhang; Haoyu Li; Yanjun Zhao 001; Yifan Sun 010; Huan Zhang 001 (CoRR, 2025)

RiskPO: Risk-based Policy Optimization via Verifiable Reward for LLM Post-Training. - Tao Ren 006; Jinyang Jiang 001; Hui Yang; Wan Tian; Minhao Zou; Guanghao Li; Zishi Zhang; Qinghao Wang; Shentao Qin; Yanjun Zhao 001; Rui Tao; Hui Shao; et al. (CoRR, 2025)

SABER: Switchable and Balanced Training for Efficient LLM Reasoning. - Kai Zhao; Yanjun Zhao 001; Jiaming Song; Shien He; Lusheng Zhang; Qiang Zhang; Tianjiao Li (AAAI, 2026)