Jun Liu

According to our database, Jun Liu authored at least 37 papers between 2021 and 2024.

Collaborative distances:

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

2024

Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples.

Jun Liu, Jiantao Zhou, Jinyu Tian, Weiwei Sun

ACM Trans. Multim. Comput. Commun. Appl., July, 2024

Generating Robust Adversarial Examples against Online Social Networks (OSNs).

Jun Liu, Jiantao Zhou, Haiwei Wu, Weiwei Sun, Jinyu Tian

ACM Trans. Multim. Comput. Commun. Appl., April, 2024

Cross-Modal Alternating Learning With Task-Aware Representations for Continual Learning.

Wujin Li, Bin-Bin Gao, Bizhong Xia, Jinbao Wang, Jun Liu, Yong Liu, Chengjie Wang, Feng Zheng

IEEE Trans. Multim., 2024

Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning.

Jiawei Zhan, Jinxiang Lai, Bin-Bin Gao, Jun Liu, Xiaochen Chen, Chengjie Wang

CoRR, 2024

DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain.

Jun Liu, Jiantao Zhou, Jiandian Zeng, Jinyu Tian, Zheng Li

CoRR, 2024

SoftPatch: Unsupervised Anomaly Detection with Noisy Data.

Xi Jiang, Ying Chen, Qiang Nie, Yong Liu, Jianlin Liu, Bin-Bin Gao, Jun Liu, Chengjie Wang, Feng Zheng

CoRR, 2024

FlashDecoding++: Faster Large Language Model Inference with Asynchronization, Flat GEMM Optimization, and Heuristics.

Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs.

Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation.

Guan Gui, Bin-Bin Gao, Jun Liu, Chengjie Wang, Yunsheng Wu

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection.

Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian, Xin Tan, Zhizhong Zhang, Yanyun Qu, Jun Liu, Yuan Xie

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MatchDet: A Collaborative Framework for Image Matching and Object Detection.

Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space.

Jun Liu, Jiantao Zhou, Jiandian Zeng, Jinyu Tian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FlashDecoding++: Faster Large Language Model Inference on GPUs.

Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang

CoRR, 2023

DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space.

Jun Liu, Jiantao Zhou, Jiandian Zeng, Jinyu Tian

CoRR, 2023

DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search.

Shulin Zeng, Zhenhua Zhu, Jun Liu, Haoyu Zhang, Guohao Dai, Zixuan Zhou, Shuangchen Li, Xuefei Ning, Yuan Xie, Huazhong Yang, Yu Wang

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Clustered-patch Element Connection for Few-shot Learning.

Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Instance and Category Supervision are Alternate Learners for Continual Learning.

Xudong Tian, Zhizhong Zhang, Xin Tan, Jun Liu, Chengjie Wang, Yanyun Qu, Guannan Jiang, Yuan Xie

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

TSTC: Two-Level Sparsity Tensor Core Enabling both Algorithm Flexibility and Hardware Efficiency.

Jun Liu, Guohao Dai, Hao Xia, Lidong Guo, Xiangsheng Shi, Jiaming Xu, Huazhong Yang, Yu Wang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search.

Zhenhua Zhu, Jun Liu, Guohao Dai, Shulin Zeng, Bing Li, Huazhong Yang, Yu Wang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Rethinking Gradient Projection Continual Learning: Stability/Plasticity Feature Space Decoupling.

Zhen Zhao, Zhizhong Zhang, Xin Tan, Jun Liu, Yanyun Qu, Yuan Xie, Lizhuang Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning.

Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud.

Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Shiyao Li, Guangjun Ge, Kai Zhong, Kaiyuan Guo, Yu Wang, Huazhong Yang

ACM Trans. Reconfigurable Technol. Syst., 2022

Robust Image Forgery Detection Against Transmission Over Online Social Networks.

Haiwei Wu, Jiantao Zhou, Jinyu Tian, Jun Liu, Yu Qiao

IEEE Trans. Inf. Forensics Secur., 2022

Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation.

Bin-Bin Gao, Xiaochen Chen, Zhongyi Huang, Congchong Nie, Jun Liu, Jinxiang Lai, Guannan Jiang, Xi Wang, Chengjie Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision.

Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao, Tianliang Zhang, Wenlong Wu, Wei Zhang, Chengjie Wang, Yuan Xie

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Hierarchical Walking Transformer for Object Re-Identification.

Xudong Tian, Jun Liu, Zhizhong Zhang, Chengjie Wang, Yanyun Qu, Yuan Xie, Lizhuang Ma

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Not All Pixels Are Matched: Dense Contrastive Learning for Cross-Modality Person Re-Identification.

Hanzhe Sun, Jun Liu, Zhizhong Zhang, Chengjie Wang, Yanyun Qu, Yuan Xie, Lizhuang Ma

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Continual Adaptation in Industrial Anomaly Detection.

Wujin Li, Jiawei Zhan, Jinbao Wang, Bizhong Xia, Bin-Bin Gao, Jun Liu, Chengjie Wang, Feng Zheng

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective.

Jinxiang Lai, Siqian Yang, Guannan Jiang, Xi Wang, Yuxi Li, Zihui Jia, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter.

Jun Liu, Zhenhua Zhu, Jingbo Hu, Hanbo Sun, Li Liu, Lingzhi Liu, Guohao Dai, Huazhong Yang, Yu Wang

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

HDNet: A Hierarchically Decoupled Network for Crowd Counting.

Chenliang Gu, Changan Wang, Bin-Bin Gao, Jun Liu, Tianliang Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

tSF: Transformer-Based Semantic Filter for Few-Shot Learning.

Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

Robust Image Forgery Detection over Online Social Network Shared Images.

Haiwei Wu, Jiantao Zhou, Jinyu Tian, Jun Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.

Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning.

Xia Kong, Zuodong Gao, Xiaofan Li, Ming Hong, Jun Liu, Chengjie Wang, Yuan Xie, Yanyun Qu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Optimal Pre-Filtering for Improving Facebook Shared Images.

Weiwei Sun, Jiantao Zhou, Li Dong, Jinyu Tian, Jun Liu

IEEE Trans. Image Process., 2021

3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud.

Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Hongren Zheng, Yusong Wu, Fan Zhang, Xinhao Yang, Yi Cai, Yu Wang, Huazhong Yang

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021