Multi-contact Stability of Humanoids using ZMP and CWC. - Zhenting Wang; Kensuke Harada; Weiwei Wan (Humanoids, 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 (ICMAI, 2019)

CODAN: Counting-driven Attention Network for Vehicle Detection in Congested Scenes. - Wei Li 110; Zhenting Wang; Xiao Wu 001; Ji Zhang; Qiang Peng; Hongliang Li 001 (ACM Multimedia, 2020)

Assembly Planning by Recognizing a Graphical Instruction Manual. - Issei Sera; Natsuki Yamanobe; Ixchel Georgina Ramirez-Alpizar; Zhenting Wang; Weiwei Wan; Kensuke Harada (IROS, 2021)

EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry. - Yingqi Liu; Guangyu Shen; Guanhong Tao 001; Zhenting Wang; Shiqing Ma; Xiangyu Zhang 001 (CoRR, 2021)

Complex Backdoor Detection by Symmetric Feature Differencing. - Yingqi Liu; Guangyu Shen; Guanhong Tao 001; Zhenting Wang; Shiqing Ma; Xiangyu Zhang 001 (CVPR, 2022)

BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning. - Zhenting Wang; Juan Zhai; Shiqing Ma (CVPR, 2022)

Learning Selective Assignment Network for Scene-Aware Vehicle Detection. - Zhenting Wang; Wei Li 110; Xiao Wu 001; Luhan Sheng (ICIP, 2022)

Training with More Confidence: Mitigating Injected and Natural Backdoors During Training. - Zhenting Wang; Hailun Ding; Juan Zhai; Shiqing Ma (NeurIPS, 2022)

Rethinking the Reverse-engineering of Trojan Triggers. - Zhenting Wang; Kai Mei; Hailun Ding; Juan Zhai; Shiqing Ma (NeurIPS, 2022)

Neural Network Trojans Analysis and Mitigation from the Input Domain. - Zhenting Wang; Hailun Ding; Juan Zhai; Shiqing Ma (CoRR, 2022)

Backdoor Vulnerabilities in Normally Trained Deep Learning Models. - Guanhong Tao 001; Zhenting Wang; Siyuan Cheng 005; Shiqing Ma; Shengwei An; Yingqi Liu; Guangyu Shen; Zhuo Zhang 002; Yunshu Mao; Xiangyu Zhang 001 (CoRR, 2022)

NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models. - Kai Mei; Zheng Li 023; Zhenting Wang; Yang Zhang 016; Shiqing Ma (ACL (1), 2023)

UNICORN: A Unified Backdoor Trigger Inversion Framework. - Zhenting Wang; Kai Mei; Juan Zhai; Shiqing Ma (ICLR, 2023)

Where Did I Come From? Origin Attribution of AI-Generated Images. - Zhenting Wang; Chen Chen 043; Yi Zeng 005; Lingjuan Lyu; Shiqing Ma (NeurIPS, 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)

Alteration-free and Model-agnostic Origin Attribution of Generated Images. - Zhenting Wang; Chen Chen 043; Yi Zeng 005; Lingjuan Lyu; Shiqing Ma (CoRR, 2023)

How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models. - Zhenting Wang; Chen Chen 043; Yuchen Liu; Lingjuan Lyu; Dimitris N. Metaxas; Shiqing Ma (CoRR, 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., 2023)

Exploring Inherent Backdoors in Deep Learning Models. - Guanhong Tao 001; Siyuan Cheng 005; Zhenting Wang; Shiqing Ma; Shengwei An; Yingqi Liu; Guangyu Shen; Zhuo Zhang 002; Yunshu Mao; Xiangyu Zhang 001 (ACSAC, 2024)

Finding Needles in a Haystack: A Black-Box Approach to Invisible Watermark Detection. - Minzhou Pan; Zhenting Wang; Xin Dong 009; Vikash Sehwag; Lingjuan Lyu; Xue Lin 001 (ECCV (33), 2024)

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models. - Zhenting Wang; Chen Chen 043; Lingjuan Lyu; Dimitris N. Metaxas; Shiqing Ma (ICLR, 2024)

How to Trace Latent Generative Model Generated Images without Artificial Watermark? - Zhenting Wang; Vikash Sehwag; Chen Chen 043; Lingjuan Lyu; Dimitris N. Metaxas; Shiqing Ma (ICML, 2024)

Distribution Preserving Backdoor Attack in Self-supervised Learning. - Guanhong Tao 001; Zhenting Wang; Shiwei Feng 002; Guangyu Shen; Shiqing Ma; Xiangyu Zhang 001 (SP, 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)

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System. - Mingyu Jin; Qinkai Yu; Dong Shu; Chong Zhang 006; Lizhou Fan; Wenyue Hua; Suiyuan Zhu; Yanda Meng; Zhenting Wang; Mengnan Du; Yongfeng Zhang; Yanda Meng (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 003; Kai Mei; Yanda Meng; Kaize Ding; Fan Yang 023; Mengnan Du; et al. (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)

Towards Imperceptible Backdoor Attack in Self-supervised Learning. - Hanrong Zhang; Zhenting Wang; Tingxu Han; Mingyu Jin; Chenlu Zhan; Mengnan Du; Hongwei Wang 001; Shiqing Ma (CoRR, 2024)

Evaluating and Mitigating IP Infringement in Visual Generative AI. - Zhenting Wang; Chen Chen 043; Vikash Sehwag; Minzhou Pan; Lingjuan Lyu (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 001; Felix Juefei-Xu; Kaize Ding; et al. (CoRR, 2024)

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments. - Chong Zhang 006; Xinyi Liu; Mingyu Jin; Zhongmou Zhang; Lingyao Li; Zhenting Wang; Wenyue Hua; Dong Shu; Suiyuan Zhu; Xiaobo Jin; Sujian Li; Mengnan Du; et al. (CoRR, 2024)

Visual Agents as Fast and Slow Thinkers. - Guangyan Sun; Mingyu Jin; Zhenting Wang; Cheng-Long Wang; Siqi Ma; Qifan Wang 001; Ying Nian Wu; Yongfeng Zhang; Dongfang Liu (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 001; Chao Shen 001 (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 001; Yongfeng Zhang (CoRR, 2024)

ProSec: Fortifying Code LLMs with Proactive Security Alignment. - Xiangzhe Xu; Zian Su; Jinyao Guo; Kaiyuan Zhang 002; Zhenting Wang; Xiangyu Zhang 001 (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 001; Zhenting Wang (CoRR, 2024)

Robustness-aware Automatic Prompt Optimization. - Zeru Shi; Zhenting Wang; Yongye Su; Weidi Luo; Fan Yang; Yongfeng Zhang (CoRR, 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., 2024)

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities. - Hua Tang; Chong Zhang 006; Mingyu Jin; Qinkai Yu; Zhenting Wang; Xiaobo Jin; Yongfeng Zhang; Mengnan Du (SIGKDD Explor., 2024)

Token-Budget-Aware LLM Reasoning. - Tingxu Han; Zhenting Wang; Chunrong Fang; Shiyu Zhao; Shiqing Ma; Zhenyu Chen 001 (ACL (Findings), 2025)

ADO: Automatic Data Optimization for Inputs in LLM Prompts. - Sam Lin; Wenyue Hua; Lingyao Li; Zhenting Wang; Yongfeng Zhang (ACL (Findings), 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 003; Kai Mei; Yanda Meng; Kaize Ding; Fan Yang 023; Mengnan Du; et al. (COLING, 2025)

CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI. - Siyuan Cheng 005; Lingjuan Lyu; Zhenting Wang; Xiangyu Zhang 001; Vikash Sehwag (CVPR, 2025)

MLLM-as-a-Judge for Image Safety without Human Labeling. - Zhenting Wang; Shuming Hu; Shiyu Zhao; Xiaowen Lin; Felix Juefei-Xu; Zhuowei Li 002; Ligong Han; Harihar Subramanyam; Li Chen; Jianfa Chen; Nan Jiang; Lingjuan Lyu; et al. (CVPR, 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 (CVPR, 2025)

Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction. - Shiyu Zhao; Zhenting Wang; Felix Juefei-Xu; Xide Xia; Miao Liu 007; Xiaofang Wang; Mingfu Liang; Ning Zhang; Dimitris N. Metaxas; Licheng Yu (CVPR, 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 (ICLR, 2025)

Visual Agents as Fast and Slow Thinkers. - Guangyan Sun; Mingyu Jin; Zhenting Wang; Cheng-Long Wang; Siqi Ma; Qifan Wang 001; Tong Geng; Ying Nian Wu; Yongfeng Zhang; Dongfang Liu (ICLR, 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 (ICLR, 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 001; Chao Shen 001 (NAACL (Findings), 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 (NAACL (Long Papers), 2025)

Data-centric NLP Backdoor Defense from the Lens of Memorization. - Zhenting Wang; Zhizhi Wang; Mingyu Jin; Mengnan Du; Juan Zhai; Shiqing Ma (NAACL (Findings), 2025)

Vision-based Robotic Assembly from Novel Graphical Instructions. - Chenxi Wang; Zhenting Wang; Takuya Kiyokawa; Weiwei Wan; Natsuki Yamanobe; Kensuke Harada (SII, 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 004; Jie Zhang 073; Run Wang 001; Tianwei Zhang 004 (SP, 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 (WWW (Companion Volume), 2025)

The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering. - Zhuowei Li 002; Haizhou Shi; Yunhe Gao; Di Liu 003; Zhenting Wang; Yuxiao Chen 002; Ting Liu 005; Long Zhao 003; Hao Wang 014; Dimitris N. Metaxas (CoRR, 2025)

Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI? - Qipan Xu; Zhenting Wang; Xiaoxiao He; Ligong Han; Ruixiang Tang (CoRR, 2025)

LED: LLM Enhanced Open-Vocabulary Object Detection without Human Curated Data Generation. - Yang Zhou; Shiyu Zhao; Yuxiao Chen 002; Zhenting Wang; Dimitris N. Metaxas (CoRR, 2025)

Scaling Laws of Scientific Discovery with AI and Robot Scientists. - Pengsong Zhang 001; Heng Zhang 023; Huazhe Xu; Renjun Xu; Zhenting Wang; Cong Wang; Animesh Garg; Zhibin Li; Arash Ajoudani; Xinyu Liu 002 (CoRR, 2025)

DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training. - Zhenting Wang; Guofeng Cui; Kun Wan 001; Wentian Zhao (CoRR, 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, 2025)

Breaking the Myth: Can Small Models Infer Postconditions Too? - Gehao Zhang; Zhenting Wang; Juan Zhai (CoRR, 2025)