Zhenting Wang

According to our database, Zhenting Wang authored at least 63 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Breaking the Myth: Can Small Models Infer Postconditions Too?

Gehao Zhang, Zhenting Wang, Juan Zhai

CoRR, July, 2025

EDITOR: Effective and Interpretable Prompt Inversion for Text-to-Image Diffusion Models.

Mingzhe Li, Gehao Zhang, Zhenting Wang, Shiqing Ma, Siqi Pan, Richard Cartwright, Juan Zhai

CoRR, June, 2025

DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training.

Zhenting Wang, Guofeng Cui, Kun Wan, Wentian Zhao

CoRR, April, 2025

Scaling Laws of Scientific Discovery with AI and Robot Scientists.

Pengsong Zhang, Heng Zhang, Huazhe Xu, Renjun Xu, Zhenting Wang, Cong Wang, Animesh Garg, Zhibin Li, Arash Ajoudani, Xinyu Liu

CoRR, March, 2025

LED: LLM Enhanced Open-Vocabulary Object Detection without Human Curated Data Generation.

Yang Zhou, Shiyu Zhao, Yuxiao Chen, Zhenting Wang, Dimitris N. Metaxas

CoRR, March, 2025

Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI?

Qipan Xu, Zhenting Wang, Xiaoxiao He, Ligong Han, Ruixiang Tang

CoRR, February, 2025

The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering.

Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas

CoRR, February, 2025

APEER : Automatic Prompt Engineering Enhances Large Language Model Reranking.

Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models.

Boheng Li, Yanhao Wei, Yankai Fu, Zhenting Wang, Yiming Li, Jie Zhang, Run Wang, Tianwei Zhang

Proceedings of the IEEE Symposium on Security and Privacy, 2025

Vision-based Robotic Assembly from Novel Graphical Instructions.

Chenxi Wang, Zhenting Wang, Takuya Kiyokawa, Weiwei Wan, Natsuki Yamanobe, Kensuke Harada

Proceedings of the IEEE/SICE International Symposium on System Integration, 2025

Data-centric NLP Backdoor Defense from the Lens of Memorization.

Zhenting Wang, Zhizhi Wang, Mingyu Jin, Mengnan Du, Juan Zhai, Shiqing Ma

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs.

Sam Lin, Wenyue Hua, Zhenting Wang, Mingyu Jin, Lizhou Fan, Yongfeng Zhang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as Optimizer.

Weipeng Jiang, Zhenting Wang, Juan Zhai, Shiqing Ma, Zhengyu Zhao, Chao Shen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents.

Hanrong Zhang, Jingyuan Huang, Kai Mei, Yifei Yao, Zhenting Wang, Chenlu Zhan, Hongwei Wang, Yongfeng Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Visual Agents as Fast and Slow Thinkers.

Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Tong Geng, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation.

Can Jin, Ying Li, Mingyu Zhao, Shiyu Zhao, Zhenting Wang, Xiaoxiao He, Ligong Han, Tong Che, Dimitris N. Metaxas

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction.

Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Invisible Backdoor Attack against Self-supervised Learning.

Hanrong Zhang, Zhenting Wang, Boheng Li, Fulin Lin, Tingxu Han, Mingyu Jin, Chenlu Zhan, Mengnan Du, Hongwei Wang, Shiqing Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MLLM-as-a-Judge for Image Safety without Human Labeling.

Zhenting Wang, Shuming Hu, Shiyu Zhao, Xiaowen Lin, Felix Juefei-Xu, Zhuowei Li, Ligong Han, Harihar Subramanyam, Li Chen, Jianfa Chen, Nan Jiang, Lingjuan Lyu, Shiqing Ma, Dimitris N. Metaxas, Ankit Jain

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI.

Siyuan Cheng, Lingjuan Lyu, Zhenting Wang, Xiangyu Zhang, Vikash Sehwag

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?

Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

ADO: Automatic Data Optimization for Inputs in LLM Prompts.

Sam Lin, Wenyue Hua, Lingyao Li, Zhenting Wang, Yongfeng Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Token-Budget-Aware LLM Reasoning.

Tingxu Han, Zhenting Wang, Chunrong Fang, Shiyu Zhao, Shiqing Ma, Zhenyu Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.

Hua Tang, Chong Zhang, Mingyu Jin, Qinkai Yu, Zhenting Wang, Xiaobo Jin, Yongfeng Zhang, Mengnan Du

SIGKDD Explor., December, 2024

Desertification Mitigation in Northern China Was Promoted by Climate Drivers after 2000.

Haohui Li, Kai Yang, Yang Cui, Lingyun Ai, Chenghai Wang, Zhenting Wang, Caixia Zhang

Remote. Sens., October, 2024

Robustness-aware Automatic Prompt Optimization.

Zeru Shi, Zhenting Wang, Yongye Su, Weidi Luo, Fan Yang, Yongfeng Zhang

CoRR, 2024

Continuous Concepts Removal in Text-to-image Diffusion Models.

Tingxu Han, Weisong Sun, Yanrong Hu, Chunrong Fang, Yonglong Zhang, Shiqing Ma, Tao Zheng, Zhenyu Chen, Zhenting Wang

CoRR, 2024

ProSec: Fortifying Code LLMs with Proactive Security Alignment.

Xiangzhe Xu, Zian Su, Jinyao Guo, Kaiyuan Zhang, Zhenting Wang, Xiangyu Zhang

CoRR, 2024

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents.

Hanrong Zhang, Jingyuan Huang, Kai Mei, Yifei Yao, Zhenting Wang, Chenlu Zhan, Hongwei Wang, Yongfeng Zhang

CoRR, 2024

Unlocking Adversarial Suffix Optimization Without Affirmative Phrases: Efficient Black-box Jailbreaking via LLM as Optimizer.

Weipeng Jiang, Zhenting Wang, Juan Zhai, Shiqing Ma, Zhengyu Zhao, Chao Shen

CoRR, 2024

Visual Agents as Fast and Slow Thinkers.

Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu

CoRR, 2024

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments.

Chong Zhang, Xinyi Liu, Mingyu Jin, Zhongmou Zhang, Lingyao Li, Zhenting Wang, Wenyue Hua, Dong Shu, Suiyuan Zhu, Xiaobo Jin, Sujian Li, Mengnan Du, Yongfeng Zhang

CoRR, 2024

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models.

Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Zihao Zhou, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Kaize Ding, Fan Yang, Ruixiang Tang, Yongfeng Zhang

CoRR, 2024

Evaluating and Mitigating IP Infringement in Visual Generative AI.

Zhenting Wang, Chen Chen, Vikash Sehwag, Minzhou Pan, Lingjuan Lyu

CoRR, 2024

Towards Imperceptible Backdoor Attack in Self-supervised Learning.

Hanrong Zhang, Zhenting Wang, Tingxu Han, Mingyu Jin, Chenlu Zhan, Mengnan Du, Hongwei Wang, Shiqing Ma

CoRR, 2024

ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction.

Mingyu Jin, Haochen Xue, Zhenting Wang, Boming Kang, Ruosong Ye, Kaixiong Zhou, Mengnan Du, Yongfeng Zhang

CoRR, 2024

Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?

Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang

CoRR, 2024

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.

Mingyu Jin, Qinkai Yu, Dong Shu, Chong Zhang, Lizhou Fan, Wenyue Hua, Suiyuan Zhu, Yanda Meng, Zhenting Wang, Mengnan Du, Yongfeng Zhang, Yanda Meng

CoRR, 2024

Assembly Task Allocation for Human-Robot Collaboration Considering Stability and Assembly Complexity.

Zhenting Wang, Takuya Kiyokawa, Natsuki Yamanobe, Weiwei Wan, Kensuke Harada

IEEE Access, 2024

Distribution Preserving Backdoor Attack in Self-supervised Learning.

Guanhong Tao, Zhenting Wang, Shiwei Feng, Guangyu Shen, Shiqing Ma, Xiangyu Zhang

Proceedings of the IEEE Symposium on Security and Privacy, 2024

How to Trace Latent Generative Model Generated Images without Artificial Watermark?

Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models.

Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Finding Needles in a Haystack: A Black-Box Approach to Invisible Watermark Detection.

Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin

Proceedings of the Computer Vision - ECCV 2024, 2024

Exploring Inherent Backdoors in Deep Learning Models.

Guanhong Tao, Siyuan Cheng, Zhenting Wang, Shiqing Ma, Shengwei An, Yingqi Liu, Guangyu Shen, Zhuo Zhang, Yunshu Mao, Xiangyu Zhang

Proceedings of the Annual Computer Security Applications Conference, 2024

2023

Difficulty and complexity definitions for assembly task allocation and assignment in human-robot collaborations: A review.

Takuya Kiyokawa, Naoki Shirakura, Zhenting Wang, Natsuki Yamanobe, Ixchel Georgina Ramirez-Alpizar, Weiwei Wan, Kensuke Harada

Robotics Comput. Integr. Manuf., December, 2023

How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models.

Zhenting Wang, Chen Chen, Yuchen Liu, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma

CoRR, 2023

Alteration-free and Model-agnostic Origin Attribution of Generated Images.

Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, Shiqing Ma

CoRR, 2023

Error Correction in Robotic Assembly Planning From Graphical Instruction Manuals.

Zhenting Wang, Takuya Kiyokawa, Issei Sera, Natsuki Yamanobe, Weiwei Wan, Kensuke Harada

IEEE Access, 2023

Where Did I Come From? Origin Attribution of AI-Generated Images.

Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, Shiqing Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UNICORN: A Unified Backdoor Trigger Inversion Framework.

Zhenting Wang, Kai Mei, Juan Zhai, Shiqing Ma

Proceedings of the Eleventh International Conference on Learning Representations, 2023

NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models.

Kai Mei, Zheng Li, Zhenting Wang, Yang Zhang, Shiqing Ma

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Backdoor Vulnerabilities in Normally Trained Deep Learning Models.

Guanhong Tao, Zhenting Wang, Siyuan Cheng, Shiqing Ma, Shengwei An, Yingqi Liu, Guangyu Shen, Zhuo Zhang, Yunshu Mao, Xiangyu Zhang

CoRR, 2022

Neural Network Trojans Analysis and Mitigation from the Input Domain.

Zhenting Wang, Hailun Ding, Juan Zhai, Shiqing Ma

CoRR, 2022

Rethinking the Reverse-engineering of Trojan Triggers.

Zhenting Wang, Kai Mei, Hailun Ding, Juan Zhai, Shiqing Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Training with More Confidence: Mitigating Injected and Natural Backdoors During Training.

Zhenting Wang, Hailun Ding, Juan Zhai, Shiqing Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Selective Assignment Network for Scene-Aware Vehicle Detection.

Zhenting Wang, Wei Li, Xiao Wu, Luhan Sheng

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning.

Zhenting Wang, Juan Zhai, Shiqing Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Complex Backdoor Detection by Symmetric Feature Differencing.

Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry.

Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang

CoRR, 2021

Assembly Planning by Recognizing a Graphical Instruction Manual.

Issei Sera, Natsuki Yamanobe, Ixchel Georgina Ramirez-Alpizar, Zhenting Wang, Weiwei Wan, Kensuke Harada

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

CODAN: Counting-driven Attention Network for Vehicle Detection in Congested Scenes.

Wei Li, Zhenting Wang, Xiao Wu, Ji Zhang, Qiang Peng, Hongliang Li

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

A Novel and Fine-grained Heap Randomization Allocation Strategy for Effectively Alleviating Heap Buffer Overflow Vulnerabilities.

Zhiyong Jin, Yongfu Chen, Tian Liu, Kai Li, Zhenting Wang, Jiongzhi Zheng

Proceedings of the 4th International Conference on Mathematics and Artificial Intelligence, 2019

Multi-contact Stability of Humanoids using ZMP and CWC.

Zhenting Wang, Kensuke Harada, Weiwei Wan

Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019