Zhikai Li

61 papers A* 8A 1B 3C 3Journal 43Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoLeQ: Improving Data-Free Quantization via Contrastive Learning.
IEEE Trans. Multim.
Zhikai Li, Mengjuan Chen, Junrui Xiao, Qingyi Gu
2026 J jnl
Efficient-SAM2: Accelerating SAM2 with Object-Aware Visual Encoding and Memory Retrieval.
CoRR
Jing Zhang, Zhikai Li, Xuewen Liu, Qingyi Gu
2026 J jnl
K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge.
CoRR
Zhikai Li, Jiatong Li, Xuewen Liu, Wangbo Zhao, Pan Du, Kaicheng Zhou, Qingyi Gu, Yang You, Zhen Dong, Kurt Keutzer
2026 J jnl
PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation Models.
CoRR
Xuewen Liu, Zhikai Li, Jing Zhang, Mengjuan Chen, Qingyi Gu
2026 J jnl
Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare.
Int. J. Comput. Vis.
Zhikai Li, Jing Zhang, Qingyi Gu
2026 A* conf
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model.
AAAI
Jing Zhang, Zhikai Li, Chengzhi Hu, Xuewen Liu, Qingyi Gu
2026 J jnl
Sparsity Induction for Accurate Post-Training Pruning of Large Language Models.
CoRR
Minhao Jiang, Zhikai Li, Xuewen Liu, Jing Zhang, Mengjuan Chen, Qingyi Gu
2025 A* conf
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs.
CVPR
Wangbo Zhao, Yizeng Han, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You
2025 J jnl
BinaryViT: Toward Efficient and Accurate Binary Vision Transformers.
IEEE Trans. Circuits Syst. Video Technol.
Junrui Xiao, Zhikai Li, Jianquan Li, Lianwei Yang, Qingyi Gu
2025 A* conf
CacheQuant: Comprehensively Accelerated Diffusion Models.
CVPR
Xuewen Liu, Zhikai Li, Qingyi Gu
2025 J jnl
CacheQuant: Comprehensively Accelerated Diffusion Models.
CoRR
Xuewen Liu, Zhikai Li, Qingyi Gu
2025 A* conf
DilateQuant: Accurate and Efficient Quantization-Aware Training for Diffusion Models via Weight Dilation.
ACM Multimedia
Xuewen Liu, Zhikai Li, Minghao Jiang, Mengjuan Chen, Jianquan Li, Qingyi Gu
2025 J jnl
Energy-efficient real-time multi-workflow scheduling in container-based cloud.
J. Comb. Optim.
Zai-Xing Sun, Hejiao Huang, Zhikai Li, Chonglin Gu
2025 A* conf
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences.
CVPR
Zhikai Li, Xuewen Liu, Dongrong Joe Fu, Jianquan Li, Qingyi Gu, Kurt Keutzer, Zhen Dong
2025 J jnl
Rectified SpaAttn: Revisiting Attention Sparsity for Efficient Video Generation.
CoRR
Xuewen Liu, Zhikai Li, Jing Zhang, Mengjuan Chen, Qingyi Gu
2025 J jnl
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model.
CoRR
Jing Zhang, Zhikai Li, Qingyi Gu
2025 A* conf
Unsupervised Learning for Class Distribution Mismatch.
ICML
Pan Du, Wangbo Zhao, Xinai Lu, Nian Liu, Zhikai Li, Chaoyu Gong, Suyun Zhao, Hong Chen, Cuiping Li, Kai Wang, Yang You
2025 J jnl
Unsupervised Learning for Class Distribution Mismatch.
CoRR
Pan Du, Wangbo Zhao, Xinai Lu, Nian Liu, Zhikai Li, Chaoyu Gong, Suyun Zhao, Hong Chen, Cuiping Li, Kai Wang, Yang You
2024 J jnl
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs.
CoRR
Wangbo Zhao, Yizeng Han, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You
2024 J jnl
An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction.
CoRR
Sihan Niu, Yifan Zhou, Zhikai Li, Shuyao Huang, Yujun Zhou
2024 J jnl
DilateQuant: Accurate and Efficient Diffusion Quantization via Weight Dilation.
CoRR
Xuewen Liu, Zhikai Li, Qingyi Gu
2024 J jnl
Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models.
CoRR
Xuewen Liu, Zhikai Li, Junrui Xiao, Qingyi Gu
2024 J jnl
Fruit tree canopy segmentation from UAV orthophoto maps based on a lightweight improved U-Net.
Comput. Electron. Agric.
Zhikai Li, Xiaoling Deng, Yubin Lan, Cunjia Liu, Jiajun Qing
2024 J jnl
HTQ: Exploring the High-Dimensional Trade-Off of mixed-precision quantization.
Pattern Recognit.
Zhikai Li, Xianlei Long, Junrui Xiao, Qingyi Gu
2024 J jnl
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences.
CoRR
Zhikai Li, Xuewen Liu, Dongrong Fu, Jianquan Li, Qingyi Gu, Kurt Keutzer, Zhen Dong
2024 J jnl
LLM Inference Unveiled: Survey and Roofline Model Insights.
CoRR
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
2024 B conf
MGRQ: Post-Training Quantization For Vision Transformer With Mixed Granularity Reconstruction.
ICIP
Lianwei Yang, Zhikai Li, Junrui Xiao, Haisong Gong, Qingyi Gu
2024 J jnl
MGRQ: Post-Training Quantization For Vision Transformer With Mixed Granularity Reconstruction.
CoRR
Lianwei Yang, Zhikai Li, Junrui Xiao, Haisong Gong, Qingyi Gu
2024 C conf
ML2SC: Deploying Machine Learning Models as Smart Contracts on the Blockchain.
ICBC
Zhikai Li, Steve Vott, Bhaskar Krishnamachari
2024 J jnl
ML2SC: Deploying Machine Learning Models as Smart Contracts on the Blockchain.
CoRR
Zhikai Li, Steve Vott, Bhaskar Krishnamachari
2024 J jnl
PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers.
IEEE Trans. Neural Networks Learn. Syst.
Zhikai Li, Mengjuan Chen, Junrui Xiao, Qingyi Gu
2024 J jnl
Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare.
CoRR
Zhikai Li, Jing Zhang, Qingyi Gu
2024 — conf
RTA-Former: Reverse Transformer Attention for Polyp Segmentation.
EMBC
Zhikai Li, Murong Yi, Ali Uneri, Sihan Niu, Craig K. Jones
2024 J jnl
RTA-Former: Reverse Transformer Attention for Polyp Segmentation.
CoRR
Zhikai Li, Murong Yi, Ali Uneri, Sihan Niu, Craig K. Jones
2024 J jnl
RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models via Scale Reparameterization.
CoRR
Zhikai Li, Xuewen Liu, Jing Zhang, Qingyi Gu
2024 J jnl
TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptation.
CoRR
Junrui Xiao, Zhikai Li, Lianwei Yang, Yiduo Mei, Qingyi Gu
2023 — conf
An Energy-Efficient Scheduling Method for Real-Time Multi-workflow in Container Cloud.
COCOA (1)
Zai-Xing Sun, Zhikai Li, Chonglin Gu, Hejiao Huang
2023 J jnl
DCIFPN: Deformable cross-scale interaction feature pyramid network for object detection.
IET Image Process.
Junrui Xiao, He Jiang, Zhikai Li, Qingyi Gu
2023 J jnl
Efficient, economical and energy-saving multi-workflow scheduling in hybrid cloud.
Expert Syst. Appl.
Zai-Xing Sun, Hejiao Huang, Zhikai Li, Chonglin Gu, Ruitao Xie, Bin Qian
2023 J jnl
GPT-aided diagnosis on agricultural image based on a new light YOLOPC.
Comput. Electron. Agric.
Jiajun Qing, Xiaoling Deng, Yubin Lan, Zhikai Li
2023 J jnl
Hot-NetVLAD: Learning Discriminatory Key Points for Visual Place Recognition.
IEEE Robotics Autom. Lett.
Zhikai Li, Christina Dao Wen Lee, Beatrix Xue Lin Tung, Zefan Huang, Daniela Rus, Marcelo H. Ang
2023 A* conf
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference.
ICCV
Zhikai Li, Qingyi Gu
2023 B conf
Patch-wise Mixed-Precision Quantization of Vision Transformer.
IJCNN
Junrui Xiao, Zhikai Li, Lianwei Yang, Qingyi Gu
2023 J jnl
Patch-wise Mixed-Precision Quantization of Vision Transformer.
CoRR
Junrui Xiao, Zhikai Li, Lianwei Yang, Qingyi Gu
2023 J jnl
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources.
CoRR
Zhikai Li, Xiaoxuan Liu, Banghua Zhu, Zhen Dong, Qingyi Gu, Kurt Keutzer
2023 J jnl
Region Probability Map-Guided Fast Wide-Area Multiobject Detection.
IEEE Trans. Instrum. Meas.
Xianlei Long, Mengjuan Chen, Zhikai Li, Qingyi Gu
2023 A* conf
RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers.
ICCV
Zhikai Li, Junrui Xiao, Lianwei Yang, Qingyi Gu
2022 J jnl
Dual-discriminator adversarial framework for data-free quantization.
Neurocomputing
Zhikai Li, Liping Ma, Xianlei Long, Junrui Xiao, Qingyi Gu
2022 J jnl
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference.
CoRR
Zhikai Li, Qingyi Gu
2022 J jnl
Influence of Online Learning Behavior and Video Playing Questions on Students' Learning Effect.
Int. J. Emerg. Technol. Learn.
Zhikai Li
2022 C conf
Localization on Indoor Topological Maps - SCAM: Scale-Compatible Adaptive Monte-Carlo Localization.
IAS
Zhikai Li, Krittin Kawkeeree, Marcelo H. Ang
2022 J jnl
Mechanical Particle Filter-Based Active Vision System for Fast Wide-Area Multiobject Detection.
IEEE Trans. Instrum. Meas.
Xianlei Long, Liping Ma, He Jiang, Zhikai Li, Yunze Chen, Qingyi Gu
2022 J jnl
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers.
CoRR
Zhikai Li, Mengjuan Chen, Junrui Xiao, Qingyi Gu
2022 — conf
Patch Similarity Aware Data-Free Quantization for Vision Transformers.
ECCV (11)
Zhikai Li, Liping Ma, Mengjuan Chen, Junrui Xiao, Qingyi Gu
2022 J jnl
Patch Similarity Aware Data-Free Quantization for Vision Transformers.
CoRR
Zhikai Li, Liping Ma, Mengjuan Chen, Junrui Xiao, Qingyi Gu
2022 J jnl
RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers.
CoRR
Zhikai Li, Junrui Xiao, Lianwei Yang, Qingyi Gu
2022 J jnl
Rethinking prediction alignment in one-stage object detection.
Neurocomputing
Junrui Xiao, He Jiang, Zhikai Li, Qingyi Gu
2021 C conf
ALOT: Augmented Localization with Obstacle Tracking.
IAS
Zhikai Li, Krittin Kawkeeree, Yue Linn Chong, Christina Dao Wen Lee, Marcelo H. Ang
2021 J jnl
Hardware-Oriented Algorithm for High-Speed Laser Centerline Extraction Based on Hessian Matrix.
IEEE Trans. Instrum. Meas.
Zhikai Li, Liping Ma, Xianlei Long, Yunze Chen, Haitao Deng, Fengxia Yan, Qingyi Gu
2020 A conf
Online Localization with Imprecise Floor Space Maps using Stochastic Gradient Descent.
IROS
Zhikai Li, Marcelo H. Ang, Daniela Rus
2018 B conf
Em-SLAM: a Fast and Robust Monocular SLAM Method for Embedded Systems.
ICPR
Yirui Wu, Zhikai Li, Shivakumara Palaiahnakote, Tong Lu