Jiakai Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
13
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models. | Haojie Hao, Jiakai Wang, Aishan Liu, Yuqing Ma, Haotong Qin, Yuanfang Guo, Xianglong Liu |
| 2026 | AAAI | Query-Routed Activation Editing with Truth-hierarchical Preference Optimization. | Kewei Liao, Tianbo Wang, Yuqing Ma, Zhange Zhang, Zhicheng Geng, Xiaowei Zhao, Jiakai Wang, Xianglong Liu |
| 2026 | AAAI | Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles. | Jiangfan Liu, Yongkang Guo, Fangzhi Zhong, Tianyuan Zhang, Zonglei Jing, Siyuan Liang, Jiakai Wang, Mingchuan Zhang, Aishan Liu, Xianglong Liu |
| 2026 | AAAI | Dormant Backdoor: Weaponizing Model Finetuning for Feasible Backdoor Attacks Against Pretrained Models. | Ruitao Li, Jiakai Wang, Hairong Chen, Huihu Ding, Jinghan Zhou, Renshuai Tao |
| 2026 | AAAI | First-Order Error Matters: Accurate Compensation for Quantized Large Language Models. | Xingyu Zheng, Haotong Qin, Yuye Li, Haoran Chu, Jiakai Wang, Jinyang Guo, Michele Magno, Xianglong Liu |
| 2026 | WWW | CASE: Conflict-assessed Knowledge-sensitive Neuron Tuning for Lifelong Model Editing. | Zhange Zhang, Yuqing Ma, Yulong Wang, Tianbo Wang, Jiakai Wang, Simin Li, Xianglong Liu |
| 2025 | ACL | Lexical Diversity-aware Relevance Assessment for Retrieval-Augmented Generation. | Zhange Zhang, Yuqing Ma, Yulong Wang, Shan He, Tianbo Wang, Siqi He, Jiakai Wang, Xianglong Liu |
| 2025 | CVPR | Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization. | Long Xu, Jiakai Wang, Haojie Hao, Haotong Qin, Jiejie Zhao, Xianglong Liu |
| 2025 | EMNLP | Token-Aware Editing of Internal Activations for Large Language Model Alignment. | Tianbo Wang, Yuqing Ma, Kewei Liao, Chengzhao Yang, Zhange Zhang, Jiakai Wang, Xianglong Liu |
| 2025 | ICASSP | Generating Targeted Universal Adversarial Perturbation against Automatic Speech Recognition via Phoneme Tailoring. | Yujun Zhang, Yanqu Chen, Jiakai Wang, Jin Hu, Renshuai Tao, Xianglong Liu |
| 2025 | ICLR | MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models. | Pei Wang, Yanan Wu, Noah Wang, Jiaheng Liu, Xiaoshuai Song, Z. Y. Peng, Ken Deng, Chenchen Zhang, Jiakai Wang, Junran Peng, Ge Zhang, Hangyu Guo, Zhaoxiang Zhang, Wenbo Su, Bo Zheng |
| 2025 | ICLR | 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 |
| 2025 | IJCAI | Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection. | Renshuai Tao, Ziheng Qin, Yifu Ding, Chuangchuang Tan, Jiakai Wang, Wei Wang |
| 2025 | WWW | Dual Intention Escape: Penetrating and Toxic Jailbreak Attack against Large Language Models. | Yanni Xue, Jiakai Wang, Zixin Yin, Yuqing Ma, Haotong Qin, Renshuai Tao, Xianglong Liu |
| 2024 | ACL | E2-LLM: Efficient and Extreme Length Extension of Large Language Models. | 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 |
| 2024 | CVPR | NAPGuard: Towards Detecting Naturalistic Adversarial Patches. | Siyang Wu, Jiakai Wang, Jiejie Zhao, Yazhe Wang, Xianglong Liu |
| 2024 | ICLR | 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 |
| 2024 | IJCAI | 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 |
| 2024 | SP | Transferable Multimodal Attack on Vision-Language Pre-training Models. | Haodi Wang, Kai Dong, Zhilei Zhu, Haotong Qin, Aishan Liu, Xiaolin Fang, Jiakai Wang, Xianglong Liu |
| 2023 | CVPR | 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 |
| 2022 | CCS | Harnessing Perceptual Adversarial Patches for Crowd Counting. | Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao |
| 2022 | CVPR | 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 |
| 2021 | CVPR | Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. | Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu |
| 2021 | ICCV | 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 |
| 2021 | IJCAI | Adversarial Examples in Physical World. | Jiakai Wang |
| 2020 | ECCV | Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out. | Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu |
| 2020 | FUSION | A Parallel Implementation of Hypothesis-Oriented Multiple Hypothesis Tracking. | Lin Wu, Fei Wang, Yongjun Xu, Yu Jiang, Jiakai Wang |