Research on Electric Micro-Meteorological Disaster Monitoring and Early Warning Technology. - Weimei Zhao; Jiakai Wang (J. Comput., 2018)

Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out. - Aishan Liu; Jiakai Wang; Xianglong Liu 001; Bowen Cao; Chongzhi Zhang; Hang Yu 016 (ECCV (13), 2020)

A Parallel Implementation of Hypothesis-Oriented Multiple Hypothesis Tracking. - Lin Wu 006; Fei Wang 014; Yongjun Xu 001; Yu Jiang; Jiakai Wang (FUSION, 2020)

Patch Attack for Automatic Check-out. - Aishan Liu; Jiakai Wang; Xianglong Liu 001; Chongzhi Zhang; Bowen Cao; Hang Yu 016 (CoRR, 2020)

Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. - Jiakai Wang; Aishan Liu; Zixin Yin; Shunchang Liu; Shiyu Tang; Xianglong Liu 001 (CVPR, 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 001; Xianglong Liu 001 (ICCV, 2021)

Adversarial Examples in Physical World. - Jiakai Wang (IJCAI, 2021)

Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization. - Zixin Yin; Jiakai Wang; Yifu Ding; Yisong Xiao; Jun Guo 009; Renshuai Tao; Haotong Qin (AdvM @ ACM Multimedia, 2021)

A Comprehensive Evaluation Framework for Deep Model Robustness. - Aishan Liu; Xianglong Liu 001; Jun Guo 009; Jiakai Wang; Yuqing Ma; Ze Zhao; Xinghai Gao; Gang Xiao (CoRR, 2021)

Diverse Sample Generation: Pushing the Limit of Data-free Quantization. - Haotong Qin; Yifu Ding; Xiangguo Zhang; Aoyu Li; Jiakai Wang; Xianglong Liu 001; Jiwen Lu (CoRR, 2021)

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. - Shiyu Tang; Ruihao Gong; Yan Wang 033; Aishan Liu; Jiakai Wang; Xinyun Chen; Fengwei Yu; Xianglong Liu 001; Dawn Song; Alan L. Yuille; Philip H. S. Torr; Dacheng Tao (CoRR, 2021)

Sequential alignment attention model for scene text recognition. - Yan Wu 013; Jiaxin Fan; Renshuai Tao; Jiakai Wang; Haotong Qin; Aishan Liu; Xianglong Liu 001 (J. Vis. Commun. Image Represent., 2021)

Harnessing Perceptual Adversarial Patches for Crowd Counting. - Shunchang Liu; Jiakai Wang; Aishan Liu; Yingwei Li 002; Yijie Gao; Xianglong Liu 001; Dacheng Tao (CCS, 2022)

Defensive Patches for Robust Recognition in the Physical World. - Jiakai Wang; Zixin Yin; Pengfei Hu; Aishan Liu; Renshuai Tao; Haotong Qin; Xianglong Liu 001; Dacheng Tao (CVPR, 2022)

Generating Transferable Adversarial Examples against Vision Transformers. - Yuxuan Wang; Jiakai Wang; Zixin Yin; Ruihao Gong; Jingyi Wang; Aishan Liu; Xianglong Liu 001 (ACM Multimedia, 2022)

Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. - Simin Li; Huangxinxin Xu; Jiakai Wang; Aishan Liu; Fazhi He; Xianglong Liu 001; Dacheng Tao (CoRR, 2022)

Phonemic Adversarial Attack against Audio Recognition in Real World. - Jiakai Wang; Zhendong Chen; Zixin Yin; Qinghong Yang; Xianglong Liu 001 (CoRR, 2022)

Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional Bias. - Jiakai Wang; Aishan Liu; Xiao Bai 001; Xianglong Liu 001 (IEEE Trans. Image Process., 2022)

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 001; Xianglong Liu 001 (CVPR, 2023)

X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. - Aishan Liu; Jun Guo 009; Jiakai Wang; Siyuan Liang; Renshuai Tao; Wenbo Zhou; Cong Liu 006; Xianglong Liu 001; Dacheng Tao (USENIX Security Symposium, 2023)

Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence. - Simin Li; Jun Guo 009; Jingqiao Xiu; Pu Feng; Xin Yu 009; Jiakai Wang; Aishan Liu; Wenjun Wu 001; Xianglong Liu 001 (CoRR, 2023)

Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. - Simin Li; Shuing Zhang; Gujun Chen; Dong Wang; Pu Feng; Jiakai Wang; Aishan Liu; Xin Yi 001; Xianglong Liu 001 (CoRR, 2023)

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. - Simin Li; Jun Guo 009; Jingqiao Xiu; Xini Yu; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Xianglong Liu 001 (CoRR, 2023)

MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. - Simin Li; Ruixiao Xu; Jun Guo 009; Pu Feng; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Xianglong Liu 001; Weifeng Lv (CoRR, 2023)

Adversarial Examples in the Physical World: A Survey. - Jiakai Wang; Donghua Wang; Jin Hu; Siyang Wu; Tingsong Jiang; Wen Yao; Aishan Liu; Xianglong Liu 001 (CoRR, 2023)

A comprehensive evaluation framework for deep model robustness. - Jun Guo 009; Wei Bao; Jiakai Wang; Yuqing Ma; Xinghai Gao; Gang Xiao; Aishan Liu; Jian Dong; Xianglong Liu 001; Wenjun Wu 001 (Pattern Recognit., 2023)

Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization. - Haotong Qin; Yifu Ding; Xiangguo Zhang; Jiakai Wang; Xianglong Liu 001; Jiwen Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

E2-LLM: Efficient and Extreme Length Extension of Large Language Models. - Jiaheng Liu; Zhiqi Bai; Yuanxing Zhang; Chenchen Zhang; Yu Zhang 176; Ge Zhang 009; Jiakai Wang; Haoran Que; Yukang Chen; Wenbo Su; Tiezheng Ge; Jie Fu 001; et al. (ACL (Findings), 2024)

NAPGuard: Towards Detecting Naturalistic Adversarial Patches. - Siyang Wu; Jiakai Wang; Jiejie Zhao; Yazhe Wang; Xianglong Liu 001 (CVPR, 2024)

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. - Simin Li; Jun Guo 009; Jingqiao Xiu; Ruixiao Xu; Xin Yu 009; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Xianglong Liu 001 (ICLR, 2024)

Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation. - Yanni Xue; Haojie Hao; Jiakai Wang; Qiang Sheng 001; Renshuai Tao; Yu Liang; Pu Feng; Xianglong Liu 001 (IJCAI, 2024)

RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts. - Jiaheng Liu; Zehao Ni; Haoran Que; Tao Sun 016; Noah Wang; Jian Yang 030; Jiakai Wang; Hongcheng Guo; Zhongyuan Peng; Ge Zhang 009; Jiayi Tian; Xingyuan Bu; et al. (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 047; Ge Zhang 009; Jiakai Wang; Yanan Wu; Congnan Liu; et al. (NeurIPS, 2024)

D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models. - Haoran Que; Jiaheng Liu; Ge Zhang 009; Chenchen Zhang; Xingwei Qu; Yinghao Ma; Feiyu Duan; Zhiqi Bai; Jiakai Wang; Yuanxing Zhang; Xu Tan 003; Jie Fu 001; et al. (NeurIPS, 2024)

BiDM: Pushing the Limit of Quantization for Diffusion Models. - Xingyu Zheng; Xianglong Liu 001; Yichen Bian; Xudong Ma; Yulun Zhang 001; Jiakai Wang; Jinyang Guo; Haotong Qin (NeurIPS, 2024)

Transferable Multimodal Attack on Vision-Language Pre-training Models. - Haodi Wang; Kai Dong 002; Zhilei Zhu; Haotong Qin; Aishan Liu; Xiaolin Fang 001; Jiakai Wang; Xianglong Liu 001 (SP, 2024)

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models. - Jiaheng Liu; Zhiqi Bai; Yuanxing Zhang; Chenchen Zhang; Yu Zhang 176; Ge Zhang 009; Jiakai Wang; Haoran Que; Yukang Chen; Wenbo Su; Tiezheng Ge; Jie Fu 001; et al. (CoRR, 2024)

BinaryDM: Towards Accurate Binarization of Diffusion Model. - Xingyu Zheng; Haotong Qin; Xudong Ma; Mingyuan Zhang; Haojie Hao; Jiakai Wang; Zixiang Zhao; Jinyang Guo; Xianglong Liu 001 (CoRR, 2024)

R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models. - Ken Deng; Jiaheng Liu; He Zhu; Congnan Liu; Jingxin Li; Jiakai Wang; Peng Zhao; Chenchen Zhang; Yanan Wu; Xueqiao Yin; Yuanxing Zhang; Wenbo Su; et al. (CoRR, 2024)

Compromising Embodied Agents with Contextual Backdoor Attacks. - Aishan Liu; Yuguang Zhou; Xianglong Liu 001; Tianyuan Zhang 004; Siyuan Liang; Jiakai Wang; Yanjun Pu; Tianlin Li; Junqi Zhang; Wenbo Zhou; Qing Guo 005; Dacheng Tao (CoRR, 2024)

Mamba2MIL: State Space Duality Based Multiple Instance Learning for Computational Pathology. - Yuqi Zhang; Xiaoqian Zhang; Jiakai Wang; Yuancheng Yang; Taiying Peng; Chao Tong 001 (CoRR, 2024)

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models. - Pei Wang; Yanan Wu; Zekun Wang; Jiaheng Liu; Xiaoshuai Song; Zhongyuan Peng; Ken Deng; Chenchen Zhang; Jiakai Wang; Junran Peng; Ge Zhang 009; Hangyu Guo; et al. (CoRR, 2024)

Behavior Backdoor for Deep Learning Models. - Jiakai Wang; Pengfei Zhang; Renshuai Tao; Jian Yang 030; Hao Liu; Xianglong Liu 001; Yunchao Wei; Yao Zhao 001 (CoRR, 2024)

DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time. - Jin Hu; Xianglong Liu 001; Jiakai Wang; Junkai Zhang; Xianqi Yang; Haotong Qin; Yuqing Ma; Ke Xu 001 (CoRR, 2024)

Adversarial Examples Against WiFi Fingerprint-Based Localization in the Physical World. - Jiakai Wang; Ye Tao 003; Yichi Zhang; Wanting Liu; Yusheng Kong; Shaolin Tan; Rongen Yan; Xianglong Liu 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. - Simin Li; Huangxinxin Xu; Jiakai Wang; Ruixiao Xu; Aishan Liu; Fazhi He; Xianglong Liu 001; Dacheng Tao (IEEE Trans. Image Process., 2024)

Improving Deepfake Detection Generalization by Invariant Risk Minimization. - Zixin Yin; Jiakai Wang; Yisong Xiao; Hanqing Zhao; Tianlin Li; Wenbo Zhou; Aishan Liu; Xianglong Liu 001 (IEEE Trans. Multim., 2024)

BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. - Haotong Qin; Xudong Ma; Yifu Ding; Xiaoyang Li; Yang Zhang 088; Zejun Ma; Jiakai Wang; Jie Luo 004; Xianglong Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression. - Jiakai Wang; Xianglong Liu 001; Zixin Yin; Yuxuan Wang; Jun Guo 009; Haotong Qin; Qingtao Wu; Aishan Liu (Int. J. Comput. Vis., 2024)

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 001 (ACL (1), 2025)

Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization. - Long Xu; Jiakai Wang; Haojie Hao; Haotong Qin; Jiejie Zhao; Xianglong Liu 001 (CVPR, 2025)

Generating Targeted Universal Adversarial Perturbation against Automatic Speech Recognition via Phoneme Tailoring. - Yujun Zhang; Yanqu Chen; Jiakai Wang; Jin Hu; Renshuai Tao; Xianglong Liu 001 (ICASSP, 2025)

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 009; Hangyu Guo; et al. (ICLR, 2025)

BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models. - Xingyu Zheng; Xianglong Liu 001; Haotong Qin; Xudong Ma; Mingyuan Zhang; Haojie Hao; Jiakai Wang; Zixiang Zhao; Jinyang Guo; Michele Magno (ICLR, 2025)

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 001 (WWW, 2025)

Numerical simulation and optimization design of a novel longitudinal-flow online fertilizer mixing device. - Kang Zheng; Shuo Yang; Yuanyuan Gao; Xiu Wang; Jiakai Wang; Senlin Song; Changyuan Zhai; Liping Chen (Comput. Electron. Agric., 2025)

Attacking cooperative multi-agent reinforcement learning by adversarial minority influence. - Simin Li; Jun Guo 009; Jingqiao Xiu; Yuwei Zheng; Pu Feng; Xin Yu 009; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Bo An 001; Wenjun Wu 001; Xianglong Liu 001 (Neural Networks, 2025)

LS-PRISM: A layer-selective pruning method via low-rank approximation and sparsification for efficient large language model compression. - Renshuai Tao; Hairong Chen; Yuzhe Guo; Jiakai Wang; Boying Wang; Rongrong Ni; Yao Zhao 001 (Neural Networks, 2025)

Compromising LLM Driven Embodied Agents With Contextual Backdoor Attacks. - Aishan Liu; Yuguang Zhou; Xianglong Liu 001; Tianyuan Zhang 004; Siyuan Liang; Jiakai Wang; Yanjun Pu; Tianlin Li; Junqi Zhang; Wenbo Zhou; Qing Guo 005; Dacheng Tao (IEEE Trans. Inf. Forensics Secur., 2025)

SAGNet: Decoupling Semantic-Agnostic Artifacts From Limited Training Data for Robust Generalization in Deepfake Detection. - Renshuai Tao; Chuangchuang Tan; Huan Liu 001; Jiakai Wang; Haotong Qin; Yakun Chang; Wei Wang 108; Rongrong Ni; Yao Zhao 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion Recognition. - Zaitian Wang; Jian He; Yu Liang 003; Xiyuan Hu; Tianhao Peng 002; Kaixin Wang; Jiakai Wang; Chenlong Zhang; Weili Zhang; Shuang Niu; Xiaoyang Xie (CoRR, 2025)

Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios. - Jingzheng Li; Xianglong Liu 001; Shikui Wei; Zhijun Chen; Bing Li 001; Qing Guo 005; Xianqi Yang; Yanjun Pu; Jiakai Wang (CoRR, 2025)

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025. - Zonghao Ying; Siyang Wu; Run Hao; Peng Ying; Shixuan Sun; Pengyu Chen; Junze Chen; Hao Du; Kaiwen Shen; Shangkun Wu; Jiwei Wei; Shiyuan He; et al. (CoRR, 2025)

AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructions. - Aishan Liu; Zonghao Ying; Le Wang; Junjie Mu; Jinyang Guo; Jiakai Wang; Yuqing Ma; Siyuan Liang; Mingchuan Zhang; Xianglong Liu 001; Dacheng Tao (CoRR, 2025)

Pre-trained Trojan Attacks for Visual Recognition. - Aishan Liu; Xianglong Liu 001; Xinwei Zhang; Yisong Xiao; Yuguang Zhou; Siyuan Liang; Jiakai Wang; Xiaochun Cao; Dacheng Tao (Int. J. Comput. Vis., 2025)

First-Order Error Matters: Accurate Compensation for Quantized Large Language Models. - Xingyu Zheng; Haotong Qin; Yuye Li; Jiakai Wang; Jinyang Guo; Michele Magno; Xianglong Liu 001 (CoRR, 2025)

MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving. - Aishan Liu; Jiakai Wang; Tianyuan Zhang 004; Hainan Li; Jiangfan Liu; Siyuan Liang; Yilong Ren; Xianglong Liu 001; Dacheng Tao (CoRR, 2025)

Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles. - Jiangfan Liu; Yongkang Guo; Fangzhi Zhong; Tianyuan Zhang 004; Zonglei Jing; Siyuan Liang; Jiakai Wang; Mingchuan Zhang; Aishan Liu; Xianglong Liu 001 (CoRR, 2025)