Recent Advances in Optimal Reliability Allocation. - Way Kuo; Rui Wan (IEEE Trans. Syst. Man Cybern. Part A, 2007)

Recent Advances in Optimal Reliability Allocation. - Way Kuo; Rui Wan (Computational Intelligence in Reliability Engineering, 2007)

Research output analysis of municipal solid waste: a case study of China. - Lie Yang; Zhulei Chen; Ting Liu; Rui Wan; Jia Wang; Wengang Xie (Scientometrics, 2013)

Research and design of intelligent navigation data platform. - Yiming Shen; Yu Wu; Rui Wan (CCIS, 2014)

Combined Lane Mapping Using a Mobile Mapping System. - Rui Wan; Yuchun Huang; Rongchang Xie; Ping Ma 008 (Remote. Sens., 2019)

Reconfigurable Neural Synaptic Plasticity-Based Stochastic Deep Neural Network Computing. - Zihan Xia; Ya Dong; Jienan Chen; Rui Wan; Shuai Li 016; Tingyong Wu (SiPS, 2021)

DRINet++: Efficient Voxel-as-point Point Cloud Segmentation. - Maosheng Ye; Rui Wan; Shuangjie Xu; Tongyi Cao; Qifeng Chen (CoRR, 2021)

Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation. - Shuangjie Xu; Rui Wan; Maosheng Ye; Xiaoyi Zou; Tongyi Cao (AAAI, 2022)

Efficient Point Cloud Segmentation with Geometry-Aware Sparse Networks. - Maosheng Ye; Rui Wan; Shuangjie Xu; Tongyi Cao; Qifeng Chen (ECCV (39), 2022)

From One to Many: Dynamic Cross Attention Networks for LiDAR and Camera Fusion. - Rui Wan; Shuangjie Xu; Wei Wu; Xiaoyi Zou; Tongyi Cao (CoRR, 2022)

PTA-Det: Point Transformer Associating Point cloud and Image for 3D Object Detection. - Rui Wan; Tianyun Zhao; Wei Zhao (CoRR, 2023)

PTA-Det: Point Transformer Associating Point Cloud and Image for 3D Object Detection. - Rui Wan; Tianyun Zhao; Wei Zhao 055 (Sensors, 2023)

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. - Tianchen Zhao; Tongcheng Fang; Enshu Liu; Rui Wan; Widyadewi Soedarmadji; Shiyao Li; Zinan Lin 001; Guohao Dai; Shengen Yan; Huazhong Yang; Xuefei Ning; Yu Wang 002 (CoRR, 2024)

LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization. - Rui Xie; Tianchen Zhao; Zhihang Yuan; Rui Wan; Wenxi Gao; Zhenhua Zhu; Xuefei Ning; Yu Wang 002 (CoRR, 2024)

Meta-IRLSOT++: A meta-inverse reinforcement learning method for fast adaptation of trajectory prediction networks. - Biao Yang; Yanan Lu; Rui Wan; Hongyu Hu; Changchun Yang; Rongrong Ni (Expert Syst. Appl., 2024)

M3-CVC: Controllable Video Compression with Multimodal Generative Models. - Rui Wan; Qi Zheng 004; Yibo Fan (ICASSP, 2025)

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. - Tianchen Zhao; Tongcheng Fang; Haofeng Huang; Rui Wan; Widyadewi Soedarmadji; Enshu Liu; Shiyao Li; Zinan Lin 001; Guohao Dai; Shengen Yan; Huazhong Yang; Xuefei Ning; et al. (ICLR, 2025)

An FPGA-based binary neural network accelerator with enhanced hardware efficiency and data reuse. - Dezheng Zhang; Rui Cen; Han Pu; Rui Wan; Dong Wang (Microelectron. J., 2025)

VMTS: Vision-Assisted Teacher-Student Reinforcement Learning for Multi-Terrain Locomotion in Bipedal Robots. - Fu Chen; Rui Wan; Peidong Liu; Nanxing Zheng; Bo Zhou (CoRR, 2025)

DeepThink3D: Enhancing Large Language Models with Programmatic Reasoning in Complex 3D Situated Reasoning Tasks. - Jiayi Song 001; Rui Wan; Lipeng Ma; Weidong Yang 001; Qingyuan Zhou; Yixuan Li; Ben Fei (CoRR, 2025)

Robust 3D sparse object detection through multi-modal framework with dynamic feature encoding and hierarchical object-guided feature enhancement. - Rui Wan; Tianyun Zhao; Wei Lu (Inf. Fusion, 2026)