Em-SLAM: a Fast and Robust Monocular SLAM Method for Embedded Systems. - Yirui Wu; Zhikai Li; Shivakumara Palaiahnakote; Tong Lu (ICPR, 2018)

Online Localization with Imprecise Floor Space Maps using Stochastic Gradient Descent. - Zhikai Li; Marcelo H. Ang; Daniela Rus (IROS, 2020)

ALOT: Augmented Localization with Obstacle Tracking. - Zhikai Li; Krittin Kawkeeree; Yue Linn Chong; Christina Dao Wen Lee; Marcelo H. Ang (IAS, 2021)

Hardware-Oriented Algorithm for High-Speed Laser Centerline Extraction Based on Hessian Matrix. - Zhikai Li; Liping Ma; Xianlei Long; Yunze Chen; Haitao Deng; Fengxia Yan; Qingyi Gu (IEEE Trans. Instrum. Meas., 2021)

Patch Similarity Aware Data-Free Quantization for Vision Transformers. - Zhikai Li; Liping Ma; Mengjuan Chen; Junrui Xiao; Qingyi Gu (ECCV (11), 2022)

Localization on Indoor Topological Maps - SCAM: Scale-Compatible Adaptive Monte-Carlo Localization. - Zhikai Li; Krittin Kawkeeree; Marcelo H. Ang (IAS, 2022)

PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers. - Zhikai Li; Mengjuan Chen; Junrui Xiao; Qingyi Gu (CoRR, 2022)

Dual-discriminator adversarial framework for data-free quantization. - Zhikai Li; Liping Ma; Xianlei Long; Junrui Xiao; Qingyi Gu (Neurocomputing, 2022)

Rethinking prediction alignment in one-stage object detection. - Junrui Xiao; He Jiang; Zhikai Li; Qingyi Gu (Neurocomputing, 2022)

Mechanical Particle Filter-Based Active Vision System for Fast Wide-Area Multiobject Detection. - Xianlei Long; Liping Ma; He Jiang; Zhikai Li; Yunze Chen; Qingyi Gu (IEEE Trans. Instrum. Meas., 2022)

Influence of Online Learning Behavior and Video Playing Questions on Students' Learning Effect. - Zhikai Li (Int. J. Emerg. Technol. Learn., 2022)

An Energy-Efficient Scheduling Method for Real-Time Multi-workflow in Container Cloud. - Zai-Xing Sun; Zhikai Li; Chonglin Gu; Hejiao Huang (COCOA (1), 2023)

I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference. - Zhikai Li; Qingyi Gu (ICCV, 2023)

RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers. - Zhikai Li; Junrui Xiao; Lianwei Yang; Qingyi Gu (ICCV, 2023)

Patch-wise Mixed-Precision Quantization of Vision Transformer. - Junrui Xiao; Zhikai Li; Lianwei Yang; Qingyi Gu (IJCNN, 2023)

QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources. - Zhikai Li; Xiaoxuan Liu; Banghua Zhu; Zhen Dong 003; Qingyi Gu; Kurt Keutzer (CoRR, 2023)

DCIFPN: Deformable cross-scale interaction feature pyramid network for object detection. - Junrui Xiao; He Jiang; Zhikai Li; Qingyi Gu (IET Image Process., 2023)

Hot-NetVLAD: Learning Discriminatory Key Points for Visual Place Recognition. - Zhikai Li; Christina Dao Wen Lee; Beatrix Xue Lin Tung; Zefan Huang; Daniela Rus; Marcelo H. Ang (IEEE Robotics Autom. Lett., 2023)

Region Probability Map-Guided Fast Wide-Area Multiobject Detection. - Xianlei Long; Mengjuan Chen; Zhikai Li; Qingyi Gu (IEEE Trans. Instrum. Meas., 2023)

GPT-aided diagnosis on agricultural image based on a new light YOLOPC. - Jiajun Qing; Xiaoling Deng; Yubin Lan; Zhikai Li (Comput. Electron. Agric., 2023)

Efficient, economical and energy-saving multi-workflow scheduling in hybrid cloud. - Zai-Xing Sun; Hejiao Huang; Zhikai Li; Chonglin Gu; Ruitao Xie; Bin Qian 001 (Expert Syst. Appl., 2023)

RTA-Former: Reverse Transformer Attention for Polyp Segmentation. - Zhikai Li; Murong Yi; Ali Uneri; Sihan Niu; Craig K. Jones (EMBC, 2024)

ML2SC: Deploying Machine Learning Models as Smart Contracts on the Blockchain. - Zhikai Li; Steve Vott; Bhaskar Krishnamachari (ICBC, 2024)

MGRQ: Post-Training Quantization For Vision Transformer With Mixed Granularity Reconstruction. - Lianwei Yang; Zhikai Li; Junrui Xiao; Haisong Gong; Qingyi Gu (ICIP, 2024)

Fruit tree canopy segmentation from UAV orthophoto maps based on a lightweight improved U-Net. - Zhikai Li; Xiaoling Deng; Yubin Lan; Cunjia Liu; Jiajun Qing (Comput. Electron. Agric., 2024)

Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models. - Xuewen Liu; Zhikai Li; Junrui Xiao; Qingyi Gu (CoRR, 2024)

An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction. - Sihan Niu; Yifan Zhou; Zhikai Li; Shuyao Huang; Yujun Zhou 008 (CoRR, 2024)

RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models via Scale Reparameterization. - Zhikai Li; Xuewen Liu; Jing Zhang; Qingyi Gu (CoRR, 2024)

LLM Inference Unveiled: Survey and Roofline Model Insights. - Zhihang Yuan; Yuzhang Shang; Yang Zhou; Zhen Dong 003; Zhe Zhou 002; Chenhao Xue; Bingzhe Wu; Zhikai Li; Qingyi Gu; Yong Jae Lee; Yan Yan 002; Beidi Chen; et al. (CoRR, 2024)

DilateQuant: Accurate and Efficient Diffusion Quantization via Weight Dilation. - Xuewen Liu; Zhikai Li; Qingyi Gu (CoRR, 2024)

Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare. - Zhikai Li; Jing Zhang; Qingyi Gu (CoRR, 2024)

TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptation. - Junrui Xiao; Zhikai Li; Lianwei Yang; Yiduo Mei; Qingyi Gu (CoRR, 2024)

HTQ: Exploring the High-Dimensional Trade-Off of mixed-precision quantization. - Zhikai Li; Xianlei Long; Junrui Xiao; Qingyi Gu (Pattern Recognit., 2024)

PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers. - Zhikai Li; Mengjuan Chen; Junrui Xiao; Qingyi Gu (IEEE Trans. Neural Networks Learn. Syst., 2024)

K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences. - Zhikai Li; Xuewen Liu; Dongrong Joe Fu; Jianquan Li; Qingyi Gu; Kurt Keutzer; Zhen Dong 003 (CVPR, 2025)

CacheQuant: Comprehensively Accelerated Diffusion Models. - Xuewen Liu; Zhikai Li; Qingyi Gu (CVPR, 2025)

A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs. - Wangbo Zhao; Yizeng Han; Jiasheng Tang; Zhikai Li; Yibing Song; Kai Wang 036; Zhangyang Wang; Yang You 001 (CVPR, 2025)

BinaryViT: Toward Efficient and Accurate Binary Vision Transformers. - Junrui Xiao; Zhikai Li; Jianquan Li; Lianwei Yang; Qingyi Gu (IEEE Trans. Circuits Syst. Video Technol., 2025)

SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model. - Jing Zhang; Zhikai Li; Qingyi Gu (CoRR, 2025)

Energy-efficient real-time multi-workflow scheduling in container-based cloud. - Zai-Xing Sun; Hejiao Huang; Zhikai Li; Chonglin Gu (J. Comb. Optim., 2025)

Unsupervised Learning for Class Distribution Mismatch. - Pan Du; Wangbo Zhao; Xinai Lu; Nian Liu; Zhikai Li; Chaoyu Gong; Suyun Zhao; Hong Chen 001; Cuiping Li; Kai Wang; Yang You 001 (CoRR, 2025)