A Novel Method for Unsafe Driving States Detection. - Haixing Shang; Yi Qian 004; Ruipeng Shi; Yuchong Li; Xi Liang (ICMLC, 2020)

Noise and Edge Based Dual Branch Image Manipulation Detection. - Zhongyuan Zhang; Yi Qian 004; Yanxiang Zhao; Lin Zhu; Jinjin Wang (CoRR, 2022)

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

Noise and Edge Based Dual Branch Image Manipulation Detection. - Zhongyuan Zhang; Yi Qian 004; Yanxiang Zhao; Xiaowei Zhang; Lin Zhu; Jinjin Wang; Juan Zhao 009 (CNIOT, 2023)

Spatial-Temporal Residual Multi-Graph Convolution Network for Traffic Forecasting. - Ruoxuan Zhu; Yi Qian 004; Hui Zheng; Xing Wang; Junlan Feng; Lin Zhu; Chao Deng (DSAA, 2023)

Multi-Branch Spatial-Temporal Decoupling Neural Network for Traffic Forecasting. - Hui Zheng; Yi Qian 004; Ruoxuan Zhu; Xing Wang; Junlan Feng; Lin Zhu; Chao Deng (IJCNN, 2023)

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

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

Less Is More: Embracing Sparsity and Interpolation with Esiformer for Time Series Forecasting. - Yangyang Guo; Yanjun Zhao; 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; 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; Sizhe Dang; Haishan Ye; Guang Dai; Yi Qian 004; Ivor W. Tsang (ICLR, 2025)