Chenqi Kong

47 papers A* 3Misc 1Journal 41Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adversarial Prompt Injection Attack on Multimodal Large Language Models.
CoRR
Meiwen Ding, Song Xia, Chenqi Kong, Xudong Jiang
2026 J jnl
Feature-Space Adversarial Robustness Certification for Multimodal Large Language Models.
CoRR
Song Xia, Meiwen Ding, Chenqi Kong, Wenhan Yang, Xudong Jiang
2026 J jnl
MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection.
IEEE Trans. Dependable Secur. Comput.
Chenqi Kong, Anwei Luo, Peijun Bao, Yi Yu, Haoliang Li, Zengwei Zheng, Shiqi Wang, Alex C. Kot
2026 J jnl
Propose and Rectify: A Forensics-Driven MLLM Framework for Image Manipulation Localization.
IEEE Trans. Inf. Forensics Secur.
Keyang Zhang, Chenqi Kong, Hui Liu, Bo Ding, Xinghao Jiang, Haoliang Li
2026 J jnl
SAKED: Mitigating Hallucination in Large Vision-Language Models via Stability-Aware Knowledge Enhanced Decoding.
CoRR
Zhaoxu Li, Chenqi Kong, Peijun Bao, Song Xia, Yi Tu, Yi Yu, Xinghao Jiang, Xudong Jiang
2026 A* conf
SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision.
AAAI
Zhaoxu Li, Chenqi Kong, Yi Yu, Qiangqiang Wu, Xinghao Jiang, Ngai-Man Cheung, Bihan Wen, Alex C. Kot, Xudong Jiang
2026 J jnl
StegaFFD: Privacy-Preserving Face Forgery Detection via Fine-Grained Steganographic Domain Lifting.
CoRR
Guoqing Ma, Xun Lin, Hui Ma, Ajian Liu, Yizhong Liu, Wenzhong Tang, Shan Yu, Chenqi Kong, Yi Yu
2026 J jnl
StegaFFD: Privacy-preserving Face Forgery Detection via Fine-grained Steganographic Domain Lifting.
Mach. Intell. Res.
Guoqing Ma, Xun Lin, Hui Ma, Ajian Liu, Yizhong Liu, Wenzhong Tang, Shan Yu, Chenqi Kong, Yi Yu
2025 J jnl
ForensicsSAM: Toward Robust and Unified Image Forgery Detection and Localization Resisting to Adversarial Attack.
CoRR
Rongxuan Peng, Shunquan Tan, Chenqi Kong, Anwei Luo, Alex C. Kot, Jiwu Huang
2025 J jnl
Forgery-Aware Adaptive Learning With Vision Transformer for Generalized Face Forgery Detection.
IEEE Trans. Circuits Syst. Video Technol.
Anwei Luo, Rizhao Cai, Chenqi Kong, Yakun Ju, Xiangui Kang, Jiwu Huang, Alex C. Kot
2025 J jnl
Image Provenance Analysis via Graph Encoding With Vision Transformer.
IEEE Trans. Inf. Forensics Secur.
Keyang Zhang, Chenqi Kong, Shiqi Wang, Anderson Rocha, Haoliang Li
2025 J jnl
Learning from Dense Events: Towards Fast Spiking Neural Networks Training via Event Dataset Distillation.
CoRR
Shuhan Ye, Yi Yu, Qixin Zhang, Chenqi Kong, Qiangqiang Wu, Kun Wang, Xudong Jiang
2025 A* conf
MTL-UE: Learning to Learn Nothing for Multi-Task Learning.
ICML
Yi Yu, Song Xia, Siyuan Yang, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot
2025 J jnl
MTL-UE: Learning to Learn Nothing for Multi-Task Learning.
CoRR
Yi Yu, Song Xia, Siyuan Yang, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot
2025 J jnl
Pixel-Inconsistency Modeling for Image Manipulation Localization.
IEEE Trans. Pattern Anal. Mach. Intell.
Chenqi Kong, Anwei Luo, Shiqi Wang, Haoliang Li, Anderson Rocha, Alex C. Kot
2025 J jnl
Propose and Rectify: A Forensics-Driven MLLM Framework for Image Manipulation Localization.
CoRR
Keyang Zhang, Chenqi Kong, Hui Liu, Bo Ding, Xinghao Jiang, Haoliang Li
2025 J jnl
SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision.
CoRR
Zhaoxu Li, Chenqi Kong, Yi Yu, Qiangqiang Wu, Xinghao Jiang, Ngai-Man Cheung, Bihan Wen, Alex ChiChung Kot, Xudong Jiang
2025 J jnl
Sparse by Rule: Probability-Based N:M Pruning for Spiking Neural Networks.
CoRR
Shuhan Ye, Yi Yu, Qixin Zhang, Chenqi Kong, Qiangqiang Wu, Xudong Jiang, Dacheng Tao
2025 J jnl
Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking.
CoRR
Qiangqiang Wu, Yi Yu, Chenqi Kong, Ziquan Liu, Jia Wan, Haoliang Li, Alex C. Kot, Antoni B. Chan
2025 J jnl
Toward Model Resistant to Transferable Adversarial Examples via Trigger Activation.
IEEE Trans. Inf. Forensics Secur.
Yi Yu, Song Xia, Xun Lin, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot
2025 J jnl
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation.
CoRR
Yi Yu, Song Xia, Xun Lin, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot
2025 — conf
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning.
ACL (1)
Hui Liu, Wenya Wang, Hao Sun, Chris Xing Tian, Chenqi Kong, Xin Dong, Haoliang Li
2024 J jnl
Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection.
IEEE Trans. Inf. Forensics Secur.
Anwei Luo, Chenqi Kong, Jiwu Huang, Yongjian Hu, Xiangui Kang, Alex C. Kot
2024 J jnl
M$^{3}$3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System.
IEEE Trans. Dependable Secur. Comput.
Chenqi Kong, Kexin Zheng, Yibing Liu, Shiqi Wang, Anderson Rocha, Haoliang Li
2024 J jnl
MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection.
CoRR
Chenqi Kong, Anwei Luo, Song Xia, Yi Yu, Haoliang Li, Alex C. Kot
2024 J jnl
Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture.
CoRR
Chenqi Kong, Anwei Luo, Peijun Bao, Haoliang Li, Renjie Wan, Zengwei Zheng, Anderson Rocha, Alex C. Kot
2024 J jnl
S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing With Statistical Tokens.
IEEE Trans. Inf. Forensics Secur.
Rizhao Cai, Zitong Yu, Chenqi Kong, Haoliang Li, Changsheng Chen, Yongjian Hu, Alex C. Kot
2024 J jnl
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning.
CoRR
Hui Liu, Wenya Wang, Hao Sun, Chris Xing Tian, Chenqi Kong, Xin Dong, Haoliang Li
2024 J jnl
Vid-Morp: Video Moment Retrieval Pretraining from Unlabeled Videos in the Wild.
CoRR
Peijun Bao, Chenqi Kong, Zihao Shao, Boon Poh Ng, Meng Hwa Er, Alex C. Kot
2023 J jnl
Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection.
CoRR
Anwei Luo, Chenqi Kong, Jiwu Huang, Yongjian Hu, Xiangui Kang, Alex C. Kot
2023 — conf
Enhancing General Face Forgery Detection via Vision Transformer with Low-Rank Adaptation.
MIPR
Chenqi Kong, Haoliang Li, Shiqi Wang
2023 J jnl
Enhancing General Face Forgery Detection via Vision Transformer with Low-Rank Adaptation.
CoRR
Chenqi Kong, Haoliang Li, Shiqi Wang
2023 J jnl
Forgery-aware Adaptive Vision Transformer for Face Forgery Detection.
CoRR
Anwei Luo, Rizhao Cai, Chenqi Kong, Xiangui Kang, Jiwu Huang, Alex C. Kot
2023 J jnl
M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System.
CoRR
Chenqi Kong, Kexin Zheng, Yibing Liu, Shiqi Wang, Anderson Rocha, Haoliang Li
2023 J jnl
Pixel-Inconsistency Modeling for Image Manipulation Localization.
CoRR
Chenqi Kong, Anwei Luo, Shiqi Wang, Haoliang Li, Anderson Rocha, Alex C. Kot
2023 J jnl
S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens.
CoRR
Rizhao Cai, Zitong Yu, Chenqi Kong, Haoliang Li, Changsheng Chen, Yongjian Hu, Alex C. Kot
2023 Misc conf
Two-Branch Multi-Scale Deep Neural Network for Generalized Document Recapture Attack Detection.
ICASSP
Jiaxing Li, Chenqi Kong, Shiqi Wang, Haoliang Li
2022 J jnl
Appearance Matters, So Does Audio: Revealing the Hidden Face via Cross-Modality Transfer.
IEEE Trans. Circuits Syst. Video Technol.
Chenqi Kong, Baoliang Chen, Wenhan Yang, Haoliang Li, Peilin Chen, Shiqi Wang
2022 J jnl
Beyond the Pixel World: A Novel Acoustic-Based Face Anti-Spoofing System for Smartphones.
IEEE Trans. Inf. Forensics Secur.
Chenqi Kong, Kexin Zheng, Shiqi Wang, Anderson Rocha, Haoliang Li
2022 J jnl
Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-Level Telltales.
IEEE Trans. Inf. Forensics Secur.
Chenqi Kong, Baoliang Chen, Haoliang Li, Shiqi Wang, Anderson Rocha, Sam Kwong
2022 J jnl
Digital and Physical Face Attacks: Reviewing and One Step Further.
CoRR
Chenqi Kong, Shiqi Wang, Haoliang Li
2022 J jnl
No-Reference Image Quality Assessment by Hallucinating Pristine Features.
IEEE Trans. Image Process.
Baoliang Chen, Lingyu Zhu, Chenqi Kong, Hanwei Zhu, Shiqi Wang, Zhu Li
2022 A* conf
Rethinking Attention-Model Explainability through Faithfulness Violation Test.
ICML
Yibing Liu, Haoliang Li, Yangyang Guo, Chenqi Kong, Jing Li, Shiqi Wang
2022 J jnl
Rethinking Attention-Model Explainability through Faithfulness Violation Test.
CoRR
Yibing Liu, Haoliang Li, Yangyang Guo, Chenqi Kong, Jing Li, Shiqi Wang
2022 J jnl
Two-branch Multi-scale Deep Neural Network for Generalized Document Recapture Attack Detection.
CoRR
Jiaxing Li, Chenqi Kong, Shiqi Wang, Haoliang Li
2021 J jnl
Detect and Locate: A Face Anti-Manipulation Approach with Semantic and Noise-level Supervision.
CoRR
Chenqi Kong, Baoliang Chen, Haoliang Li, Shiqi Wang, Anderson Rocha, Sam Kwong
2021 J jnl
No-Reference Image Quality Assessment by Hallucinating Pristine Features.
CoRR
Baoliang Chen, Lingyu Zhu, Chenqi Kong, Hanwei Zhu, Shiqi Wang, Zhu Li