Benchmarking the GPU memory at the warp level. - Minquan Fang; Jianbin Fang; Weimin Zhang; Haifang Zhou; Jianxing Liao; Yuangang Wang (Parallel Comput., 2018)

Adaptive State Continuity-Based Sparse Inverse Covariance Clustering for Multivariate Time Series. - Lei Li 002; Wei Li; Jianxing Liao; Xuegang Hu (SPAC, 2019)

Reasoning mechanism: An effective data reduction algorithm for on-line point cloud selective sampling of sculptured surfaces. - Yan Li; Haibo Liu; Ye Tao; Jianxing Liao (Comput. Aided Des., 2019)

Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification. - Xuegang Hu; Jianxing Liao; Peipei Li 001; Junwei Lv; Lei Li 002 (ICKG, 2020)

Replay-Oriented Gradient Projection Memory for Continual Learning in Medical Scenarios. - Kuang Shu; Heng Li 010; Jie Cheng; Qinghai Guo; Luziwei Leng; Jianxing Liao; Yan Hu; Jiang Liu 001 (BIBM, 2022)

TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation. - Weihua He; Kaichao You; Zhendong Qiao; Xu Jia 012; Ziyang Zhang; Wenhui Wang 001; Huchuan Lu; Yaoyuan Wang; Jianxing Liao (CVPR, 2022)

Video Interpolation by Event-Driven Anisotropic Adjustment of Optical Flow. - Song Wu; Kaichao You; Weihua He; Chen Yang; Yang Tian; Yaoyuan Wang; Ziyang Zhang; Jianxing Liao (ECCV (7), 2022)

Meta Talk: Learning To Data-Efficiently Generate Audio-Driven Lip-Synchronized Talking Face With High Definition. - Yuhan Zhang 006; Weihua He; Minglei Li; Kun Tian; Ziyang Zhang; Jie Cheng; Yaoyuan Wang; Jianxing Liao (ICASSP, 2022)

Differentiable hierarchical and surrogate gradient search for spiking neural networks. - Kaiwei Che; Luziwei Leng; Kaixuan Zhang; Jianguo Zhang; Qinghu Meng; Jie Cheng; Qinghai Guo; Jianxing Liao (NeurIPS, 2022)

An Event-Driven Spatiotemporal Domain Adaptation Method for DVS Gesture Recognition. - Yuhan Zhang 006; Lindong Wu; Weihua He; Ziyang Zhang; Chen Yang; Yaoyuan Wang; Ying Wang 008; Kun Tian; Jianxing Liao; Ying Yang 002 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Test-Time Training-Free Domain Adaptation. - Yongxiang Feng; Weihua He; Kaichao You; Bing Liu; Ziyang Zhang; Yaoyuan Wang; Minglei Li; Yihang Lou; Jiawei Li; Guoqi Li; Jianxing Liao (ICASSP, 2023)

Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling. - Guiqin Wang; Peng Zhao 001; Cong Zhao 001; Shusen Yang; Jie Cheng; Luziwei Leng; Jianxing Liao; Qinghai Guo (ICCV, 2023)

Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference. - Boyan Li; Luziwei Leng; Ran Cheng; Shuaijie Shen; Kaixuan Zhang; Jianguo Zhang; Jianxing Liao (CoRR, 2023)

AutoForma: A Large Language Model-Based Multi-Agent for Computer-Automated Design. - Jianxing Liao; Junyan Xu; Sicheng He; Zeke Chen; Shui Yu; Yun Li (SMC, 2024)

GraDiNet: Implicit Self-Distillation of Graph Structural Knowledge. - Junyan Xu; Jianxing Liao; Rucong Xu; Yun Li (SMC, 2024)

Benchmarking Neural Decoding Backbones towards Enhanced On-edge iBCI Applications. - Zhou Zhou; Guohang He; Zheng Zhang; Luziwei Leng; Qinghai Guo; Jianxing Liao; Xuan Song; Ran Cheng (CoRR, 2024)

A novel multi-step ahead prediction method for landslide displacement based on autoregressive integrated moving average and intelligent algorithm. - Peng Shao; Hong Wang; Guangyu Long; Jianxing Liao; Fei Gan; Bin Xu; Ke Hu; Yuhang Teng (Eng. Appl. Artif. Intell., 2024)

Automotive Object Detection via Learning Sparse Events by Spiking Neurons. - Hu Zhang; Yanchen Li; Luziwei Leng; Kaiwei Che; Qian Liu; Qinghai Guo; Jianxing Liao; Ran Cheng (IEEE Trans. Cogn. Dev. Syst., 2024)

Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models. - Jianxing Liao; Junyan Xu; Yatao Sun; Maowen Tang; Sicheng He; Jingxian Liao; Shui Yu; Yun Li; Xiaohong Guan (ACL (1), 2025)

Scaling Spike-Driven Transformer With Efficient Spike Firing Approximation Training. - Man Yao; Xuerui Qiu; Tianxiang Hu; Jiakui Hu; Yuhong Chou; Keyu Tian; Jianxing Liao; Luziwei Leng; Bo Xu 002; Guoqi Li (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Efficient Deep Spiking Multilayer Perceptrons With Multiplication-Free Inference. - Boyan Li; Luziwei Leng; Shuaijie Shen; Kaixuan Zhang; Jianguo Zhang 001; Jianxing Liao; Ran Cheng (IEEE Trans. Neural Networks Learn. Syst., 2025)

Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models. - Jianxing Liao; Junyan Xu; Yatao Sun; Maowen Tang; Sicheng He; Jingxian Liao; Shui Yu; Yun Li; Hongguan Xiao (CoRR, 2025)

Accurate and Efficient Event-Based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network. - Rui Zhang; Luziwei Leng; Kaiwei Che; Hu Zhang; Jie Cheng; Qinghai Guo; Jianxing Liao; Ran Cheng (IEEE Trans. Neural Networks Learn. Syst., 2025)