Zhikai Li

According to our database, Zhikai Li authored at least 54 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare.

Zhikai Li, Jing Zhang, Qingyi Gu

Int. J. Comput. Vis., May, 2026

LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models.

Songtao Wei, Yi Li, Zhikai Li, Xu Hu, Yuede Ji, Guanpeng Li, Feng Chen, Carl Yang, Zhichun Guo, Bingzhe Li

CoRR, May, 2026

TS-Verkle: A TypeScript Native Verkle Library With On-chain Verifier.

Zhikai Li, Xuekai Liu, Boyuan Xu, Eric Chen, Bhaskar Krishnamachari

CoRR, May, 2026

Arena as Offline Reward: Efficient Fine-Grained Preference Optimization for Diffusion Models.

Zhikai Li, Yue Zhao, Edward Zhongwei Zhang, Xuewen Liu, Jing Zhang, Qingyi Gu, Zhen Dong

CoRR, May, 2026

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization.

Zhikai Li, Zhen Dong, Xuewen Liu, Jing Zhang, Qingyi Gu

CoRR, May, 2026

Sparsity Induction for Accurate Post-Training Pruning of Large Language Models.

Minhao Jiang, Zhikai Li, Xuewen Liu, Jing Zhang, Mengjuan Chen, Qingyi Gu

CoRR, February, 2026

K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge.

Zhikai Li, Jiatong Li, Xuewen Liu, Wangbo Zhao, Pan Du, Kaicheng Zhou, Qingyi Gu, Yang You, Zhen Dong, Kurt Keutzer

CoRR, February, 2026

Efficient-SAM2: Accelerating SAM2 with Object-Aware Visual Encoding and Memory Retrieval.

Jing Zhang, Zhikai Li, Xuewen Liu, Qingyi Gu

CoRR, February, 2026

PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation Models.

Xuewen Liu, Zhikai Li, Jing Zhang, Mengjuan Chen, Qingyi Gu

CoRR, January, 2026

CoLeQ: Improving Data-Free Quantization via Contrastive Learning.

Zhikai Li, Mengjuan Chen, Junrui Xiao, Qingyi Gu

IEEE Trans. Multim., 2026

EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models.

Xuewen Liu, Zhikai Li, Junrui Xiao, Mengjuan Chen, Jianquan Li, Qingyi Gu

IEEE Trans. Image Process., 2026

SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model.

Jing Zhang, Zhikai Li, Chengzhi Hu, Xuewen Liu, Qingyi Gu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Rectified SpaAttn: Revisiting Attention Sparsity for Efficient Video Generation.

Xuewen Liu, Zhikai Li, Jing Zhang, Mengjuan Chen, Qingyi Gu

CoRR, November, 2025

Energy-efficient real-time multi-workflow scheduling in container-based cloud.

Zai-Xing Sun, Hejiao Huang, Zhikai Li, Chonglin Gu

J. Comb. Optim., March, 2025

SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model.

Jing Zhang, Zhikai Li, Qingyi Gu

CoRR, March, 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., January, 2025

DilateQuant: Accurate and Efficient Quantization-Aware Training for Diffusion Models via Weight Dilation.

Xuewen Liu, Zhikai Li, Minghao Jiang, Mengjuan Chen, Jianquan Li, Qingyi Gu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Unsupervised Learning for Class Distribution Mismatch.

Pan Du, Wangbo Zhao, Xinai Lu, Nian Liu, Zhikai Li, Chaoyu Gong, Suyun Zhao, Hong Chen, Cuiping Li, Kai Wang, Yang You

Proceedings of the Forty-second International Conference on Machine Learning, 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, Zhangyang Wang, Yang You

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CacheQuant: Comprehensively Accelerated Diffusion Models.

Xuewen Liu, Zhikai Li, Qingyi Gu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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., December, 2024

HTQ: Exploring the High-Dimensional Trade-Off of mixed-precision quantization.

Zhikai Li, Xianlei Long, Junrui Xiao, Qingyi Gu

Pattern Recognit., 2024

TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptation.

Junrui Xiao, Zhikai Li, Lianwei Yang, Yiduo Mei, Qingyi Gu

CoRR, 2024

DilateQuant: Accurate and Efficient Diffusion Quantization via Weight Dilation.

Xuewen Liu, Zhikai Li, Qingyi Gu

CoRR, 2024

LLM Inference Unveiled: Survey and Roofline Model Insights.

Zhihang Yuan, Yuzhang Shang, Yang Zhou, Zhen Dong, Zhe Zhou, Chenhao Xue, Bingzhe Wu, Zhikai Li, Qingyi Gu, Yong Jae Lee, Yan Yan, Beidi Chen, Guangyu Sun, Kurt Keutzer

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

An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction.

Sihan Niu, Yifan Zhou, Zhikai Li, Shuyao Huang, Yujun Zhou

CoRR, 2024

Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models.

Xuewen Liu, Zhikai Li, Junrui Xiao, Qingyi Gu

CoRR, 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

MGRQ: Post-Training Quantization For Vision Transformer With Mixed Granularity Reconstruction.

Lianwei Yang, Zhikai Li, Junrui Xiao, Haisong Gong, Qingyi Gu

Proceedings of the IEEE International Conference on Image Processing, 2024

ML2SC: Deploying Machine Learning Models as Smart Contracts on the Blockchain.

Zhikai Li, Steve Vott, Bhaskar Krishnamachari

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2024

RTA-Former: Reverse Transformer Attention for Polyp Segmentation.

Zhikai Li, Murong Yi, Ali Uneri, Sihan Niu, Craig K. Jones

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

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

Expert Syst. Appl., October, 2023

GPT-aided diagnosis on agricultural image based on a new light YOLOPC.

Jiajun Qing, Xiaoling Deng, Yubin Lan, Zhikai Li

Comput. Electron. Agric., October, 2023

Region Probability Map-Guided Fast Wide-Area Multiobject Detection.

Xianlei Long, Mengjuan Chen, Zhikai Li, Qingyi Gu

IEEE Trans. Instrum. Meas., 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

DCIFPN: Deformable cross-scale interaction feature pyramid network for object detection.

Junrui Xiao, He Jiang, Zhikai Li, Qingyi Gu

IET Image Process., 2023

QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources.

Zhikai Li, Xiaoxuan Liu, Banghua Zhu, Zhen Dong, Qingyi Gu, Kurt Keutzer

CoRR, 2023

Patch-wise Mixed-Precision Quantization of Vision Transformer.

Junrui Xiao, Zhikai Li, Lianwei Yang, Qingyi Gu

Proceedings of the International Joint Conference on Neural Networks, 2023

RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers.

Zhikai Li, Junrui Xiao, Lianwei Yang, Qingyi Gu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference.

Zhikai Li, Qingyi Gu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

An Energy-Efficient Scheduling Method for Real-Time Multi-workflow in Container Cloud.

Zai-Xing Sun, Zhikai Li, Chonglin Gu, Hejiao Huang

Proceedings of the Combinatorial Optimization and Applications, 2023

2022

Influence of Online Learning Behavior and Video Playing Questions on Students' Learning Effect.

Zhikai Li

Int. J. Emerg. Technol. Learn., January, 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

Rethinking prediction alignment in one-stage object detection.

Junrui Xiao, He Jiang, Zhikai Li, Qingyi Gu

Neurocomputing, 2022

Dual-discriminator adversarial framework for data-free quantization.

Zhikai Li, Liping Ma, Xianlei Long, Junrui Xiao, Qingyi Gu

Neurocomputing, 2022

PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers.

Zhikai Li, Mengjuan Chen, Junrui Xiao, Qingyi Gu

CoRR, 2022

Localization on Indoor Topological Maps - SCAM: Scale-Compatible Adaptive Monte-Carlo Localization.

Zhikai Li, Krittin Kawkeeree, Marcelo H. Ang

Proceedings of the Intelligent Autonomous Systems 17, 2022

Patch Similarity Aware Data-Free Quantization for Vision Transformers.

Zhikai Li, Liping Ma, Mengjuan Chen, Junrui Xiao, Qingyi Gu

Proceedings of the Computer Vision - ECCV 2022, 2022

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

ALOT: Augmented Localization with Obstacle Tracking.

Zhikai Li, Krittin Kawkeeree, Yue Linn Chong, Christina Dao Wen Lee, Marcelo H. Ang

Proceedings of the Intelligent Autonomous Systems 16, 2021

2020

Online Localization with Imprecise Floor Space Maps using Stochastic Gradient Descent.

Zhikai Li, Marcelo H. Ang, Daniela Rus

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2018

Em-SLAM: a Fast and Robust Monocular SLAM Method for Embedded Systems.

Yirui Wu, Zhikai Li, Shivakumara Palaiahnakote, Tong Lu

Proceedings of the 24th International Conference on Pattern Recognition, 2018