Wang, Jiakai

18 publications

ICLR 2025 BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno

NeurIPS 2025 Exploring Semantic-Constrained Adversarial Example with Instruction Uncertainty Reduction Jin Hu, Jiakai Wang, Linna Jing, Haolin Li, Haodong Liu, Haotong Qin, Aishan Liu, Ke Xu, Xianglong Liu

CVPR 2025 Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization Long Xu, Jiakai Wang, Haojie Hao, Haotong Qin, Jiejie Zhao, Xianglong Liu

IJCAI 2025 Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection Renshuai Tao, Ziheng Qin, Yifu Ding, Chuangchuang Tan, Jiakai Wang, Wei Wang

NeurIPS 2024 BiDM: Pushing the Limit of Quantization for Diffusion Models Xingyu Zheng, Xianglong Liu, Yichen Bian, Xudong Ma, Yulun Zhang, Jiakai Wang, Jinyang Guo, Haotong Qin

NeurIPSW 2024 BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno

ICLR 2024 Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu

NeurIPS 2024 D-CPT Law: Domain-Specific Continual Pre-Training Scaling Law for Large Language Models Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng

NeurIPS 2024 DDK: Distilling Domain Knowledge for Efficient Large Language Models Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng

CVPR 2024 NAPGuard: Towards Detecting Naturalistic Adversarial Patches Siyang Wu, Jiakai Wang, Jiejie Zhao, Yazhe Wang, Xianglong Liu

NeurIPS 2024 RoleAgent: Building, Interacting, and Benchmarking High-Quality Role-Playing Agents from Scripts Jiaheng Liu, Zehao Ni, Haoran Que, Tao Sun, Zekun Wang, Jian Yang, Jiakai Wang, Hongcheng Guo, Zhongyuan Peng, Ge Zhang, Jiayi Tian, Xingyuan Bu, Ke Xu, Wenge Rong, Junran Peng, Zhaoxiang Zhang

IJCAI 2024 Vision-Fused Attack: Advancing Aggressive and Stealthy Adversarial Text Against Neural Machine Translation Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu

CVPR 2023 Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu

CVPR 2022 Defensive Patches for Robust Recognition in the Physical World Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao

IJCAI 2021 Adversarial Examples in Physical World Jiakai Wang

CVPR 2021 Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu

ICCV 2021 Towards Real-World X-Ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu

ECCV 2020 Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu