Jiakai Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 43

Top Topics

Multiple Hypothesis Tracking

Privacy Protection

Top Venues

IEEE Trans. Image Process.

Publications

Simin Li, Huangxinxin Xu, Jiakai Wang, Ruixiao Xu, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. IEEE Trans. Image Process. 33 (2024)
Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models. CoRR (2024)
Zixin Yin, Jiakai Wang, Yisong Xiao, Hanqing Zhao, Tianlin Li, Wenbo Zhou, Aishan Liu, Xianglong Liu
Improving Deepfake Detection Generalization by Invariant Risk Minimization. IEEE Trans. Multim. 26 (2024)
Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang, Ge Zhang, Jiakai Wang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models. CoRR (2024)
Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng
DDK: Distilling Domain Knowledge for Efficient Large Language Models. CoRR (2024)
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Xingyu Zheng, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Xianglong Liu
BinaryDM: Towards Accurate Binarization of Diffusion Model. CoRR (2024)
Ken Deng, Jiaheng Liu, He Zhu, Congnan Liu, Jingxin Li, Jiakai Wang, Peng Zhao, Chenchen Zhang, Yanan Wu, Xueqiao Yin, Yuanxing Zhang, Wenbo Su, Bangyu Xiang, Tiezheng Ge, Bo Zheng
R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models. CoRR (2024)
Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. ICLR (2024)
Simin Li, Shuing Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. CoRR (2023)
Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. USENIX Security Symposium (2023)
Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. CVPR (2023)
Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu
Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Simin Li, Jun Guo, Jingqiao Xiu, Xini Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. CoRR (2023)
Jiakai Wang, Donghua Wang, Jin Hu, Siyang Wu, Tingsong Jiang, Wen Yao, Aishan Liu, Xianglong Liu
Adversarial Examples in the Physical World: A Survey. CoRR (2023)
Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. CoRR (2023)
Aishan Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xianglong Liu, Xiaochun Cao, Dacheng Tao
Pre-trained Trojan Attacks for Visual Recognition. CoRR (2023)
Simin Li, Jun Guo, Jingqiao Xiu, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Wenjun Wu, Xianglong Liu
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence. CoRR (2023)
Simin Li, Ruixiao Xu, Jun Guo, Pu Feng, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu, Weifeng Lv
MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. CoRR (2023)
Jun Guo, Wei Bao, Jiakai Wang, Yuqing Ma, Xinghai Gao, Gang Xiao, Aishan Liu, Jian Dong, Xianglong Liu, Wenjun Wu
A comprehensive evaluation framework for deep model robustness. Pattern Recognit. 137 (2023)
Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao
Defensive Patches for Robust Recognition in the Physical World. CVPR (2022)
Jiakai Wang, Aishan Liu, Xiao Bai, Xianglong Liu
Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional Bias. IEEE Trans. Image Process. 31 (2022)
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao
Harnessing Perceptual Adversarial Patches for Crowd Counting. CCS (2022)
Simin Li, Huangxinxin Xu, Jiakai Wang, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. CoRR (2022)
Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao
Defensive Patches for Robust Recognition in the Physical World. CoRR (2022)
Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. CoRR (2022)
Jiakai Wang, Zhendong Chen, Zixin Yin, Qinghong Yang, Xianglong Liu
Phonemic Adversarial Attack against Audio Recognition in Real World. CoRR (2022)
Yuxuan Wang, Jiakai Wang, Zixin Yin, Ruihao Gong, Jingyi Wang, Aishan Liu, Xianglong Liu
Generating Transferable Adversarial Examples against Vision Transformers. ACM Multimedia (2022)
Aishan Liu, Xianglong Liu, Jun Guo, Jiakai Wang, Yuqing Ma, Ze Zhao, Xinghai Gao, Gang Xiao
A Comprehensive Evaluation Framework for Deep Model Robustness. CoRR (2021)
Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. CoRR (2021)
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao
Harnessing Perceptual Adversarial Patches for Crowd Counting. CoRR (2021)
Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin
Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization. AdvM @ ACM Multimedia (2021)
Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. CVPR (2021)
Haotong Qin, Yifu Ding, Xiangguo Zhang, Aoyu Li, Jiakai Wang, Xianglong Liu, Jiwen Lu
Diverse Sample Generation: Pushing the Limit of Data-free Quantization. CoRR (2021)
Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu
Towards Real-world X-ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection. CoRR (2021)
Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu
Towards Real-world X-ray Security Inspection: A High-Quality Benchmark And Lateral Inhibition Module For Prohibited Items Detection. ICCV (2021)
Jiakai Wang
Adversarial Examples in Physical World. IJCAI (2021)
Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip H. S. Torr, Dacheng Tao
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. CoRR (2021)
Yan Wu, Jiaxin Fan, Renshuai Tao, Jiakai Wang, Haotong Qin, Aishan Liu, Xianglong Liu
Sequential alignment attention model for scene text recognition. J. Vis. Commun. Image Represent. 80 (2021)
Aishan Liu, Jiakai Wang, Xianglong Liu, Chongzhi Zhang, Bowen Cao, Hang Yu
Patch Attack for Automatic Check-out. CoRR (2020)
Lin Wu, Fei Wang, Yongjun Xu, Yu Jiang, Jiakai Wang
A Parallel Implementation of Hypothesis-Oriented Multiple Hypothesis Tracking. FUSION (2020)
Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu
Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out. ECCV (13) (2020)
Weimei Zhao, Jiakai Wang
Research on Electric Micro-Meteorological Disaster Monitoring and Early Warning Technology. J. Comput. 13 (4) (2018)