Hao Wu

According to our database, Hao Wu authored at least 54 papers between 2019 and 2026.

Collaborative distances:

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

2026

H2O: Heterogeneity-Aware Hierarchical Orchestration for Memory-Efficient On-Device LLM Inference.

Fei Zeng, Feng Lyu, Hao Wu, Zhanxi Li, Shucheng Li, Fengyuan Xu

IEEE Trans. Mob. Comput., April, 2026

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection.

Zhengyang Shan, Xu Qian, Jiayun Xin, Minghui Xu, Yue Zhang, Zhen Yang, Hao Wu, Xiuzhen Cheng

CoRR, April, 2026

Stop Wandering: Efficient Vision-Language Navigation via Metacognitive Reasoning.

Xueying Li, Feng Lyu, Hao Wu, Mingliu Liu, Jia-Nan Liu, Guozi Liu

CoRR, April, 2026

Em-Garde: A Propose-Match Framework for Proactive Streaming Video Understanding.

Yikai Zheng, Xin Ding, Yifan Yang, Shiqi Jiang, Hao Wu, Qianxi Zhang, Weijun Wang, Ting Cao, Yunxin Liu

CoRR, March, 2026

From Transactions to Exploits: Automated PoC Synthesis for Real-World DeFi Attacks.

Xing Su, Hao Wu, Hanzhong Liang, Yunlin Jiang, Yuxi Cheng, Yating Liu, Fengyuan Xu

CoRR, January, 2026

Discovering 100+ Compiler Defects in 72 Hours via LLM-Driven Semantic Logic Recomposition.

Xingbang He, Yuanwei Chen, Hao Wu, Jikang Zhang, Zicheng Wang, Ligeng Chen, Junjie Peng, Haiyang Wei, Yi Qian, Tiantai Zhang, Linzhang Wang, Bing Mao

CoRR, January, 2026

Zero-Permission Manipulation: Can We Trust Large Multimodal Model Powered GUI Agents?

Yi Qian, Kunwei Qian, Xingbang He, Ligeng Chen, Jikang Zhang, Tiantai Zhang, Haiyang Wei, Linzhang Wang, Hao Wu, Bing Mao

CoRR, January, 2026

Game in Motion: Heterogeneous Task Offloading in Dynamic Vehicular Edge Computing.

Jie Zhao, Feng Lyu, Hao Wu, Fan Wu, Shucheng Li

IEEE Trans. Netw., 2026

Diverse Human Driving Vehicle Simulation in Background Traffic for Autonomous Driving Tests.

Wendi Li, Hao Wu, Han Gao, Bing Mao, Fengyuan Xu, Sheng Zhong

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Systematic Study of Code Obfuscation Against LLM-based Vulnerability Detection.

Xiao Li, Yue Li, Hao Wu, Yue Zhang, Yechao Zhang, Fengyuan Xu, Sheng Zhong

CoRR, December, 2025

"MCP Does Not Stand for Misuse Cryptography Protocol": Uncovering Cryptographic Misuse in Model Context Protocol at Scale.

Biwei Yan, Yue Zhang, Minghui Xu, Hao Wu, Yechao Zhang, Kun Li, Guoming Zhang, Xiuzhen Cheng

CoRR, December, 2025

Video-in-the-Loop: Span-Grounded Long Video QA with Interleaved Reasoning.

Chendong Wang, Donglin Bai, Yifan Yang, Xiao Jin, Anlan Zhang, Rui Wang, Shiqi Jiang, Yuqing Yang, Hao Wu, Qi Dai, Chong Luo, Ting Cao, Lili Qiu, Suman Banerjee

CoRR, October, 2025

AdaNav: Adaptive Reasoning with Uncertainty for Vision-Language Navigation.

Xin Ding, Jianyu Wei, Yifan Yang, Shiqi Jiang, Qianxi Zhang, Hao Wu, Fucheng Jia, Liang Mi, Yuxuan Yan, Weijun Wang, Yunxin Liu, Zhibo Chen, Ting Cao

CoRR, September, 2025

Generic Adversarial Smart Contract Detection with Semantics and Uncertainty-Aware LLM.

Yating Liu, Xing Su, Hao Wu, Sijin Li, Yuxi Cheng, Fengyuan Xu, Sheng Zhong

CoRR, September, 2025

LLM-based Human-like Traffic Simulation for Self-driving Tests.

Wendi Li, Hao Wu, Han Gao, Bing Mao, Fengyuan Xu, Sheng Zhong

CoRR, August, 2025

Say What You Mean: Natural Language Access Control with Large Language Models for Internet of Things.

Ye Cheng, Mingliang Xu, Yue Zhang, Kun Li, Hao Wu, Yechao Zhang, Shaoyong Guo, Wangjie Qiu, Dongxiao Yu, Xiuzhen Cheng

CoRR, May, 2025

Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask.

Yue Li, Xiao Li, Hao Wu, Minghui Xu, Yue Zhang, Xiuzhen Cheng, Fengyuan Xu, Sheng Zhong

CoRR, April, 2025

StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition.

Xin Ding, Hao Wu, Yifan Yang, Shiqi Jiang, Donglin Bai, Zhibo Chen, Ting Cao

CoRR, March, 2025

UTRDCL: Stealthy DCL-Based Obfuscation and Its Attacks and Defenses in Android.

Xin Zhao, Hao Han, Hao Wu, Sheng Zhong, Fengyuan Xu

IEEE Trans. Inf. Forensics Secur., 2025

DiSCo: Towards Decompiling EVM Bytecode to Source Code using Large Language Models.

Xing Su, Hanzhong Liang, Hao Wu, Ben Niu, Fengyuan Xu, Sheng Zhong

Proc. ACM Softw. Eng., 2025

Make a Feint to the East While Attacking in the West: Blinding LLM-Based Code Auditors with Flashboom Attacks.

Xiao Li, Yue Li, Hao Wu, Yue Zhang, Kaidi Xu, Xiuzhen Cheng, Sheng Zhong, Fengyuan Xu

Proceedings of the IEEE Symposium on Security and Privacy, 2025

Demo: Task Cooperation for Urban Unmanned Sanitation Vehicles.

Lingzi Zhao, Feng Lyu, Hao Wu, Huaqing Wu, Huali Lu, Shucheng Li, Tao He, Wenlong Liao, Sheng Zhong

Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

Demo: UAV Trajectory Generation from Sparse and Noisy 3D Point Clouds.

Lijuan He, Feng Lyu, Mingliu Liu, Hao Wu, Sijing Duan, Jieyu Zhou, Yi Ding, Zaixun Ling, Yibo Cui

Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

Auto-UIT: Automating UAV Inspection Trajectory by Recognizing Pylon Structure from 3D Point Cloud.

Feng Lyu, Lijuan He, Mingliu Liu, Sijing Duan, Hao Wu, Jieyu Zhou, Yi Ding, Zaixun Ling, Yibo Cui

Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

PriCAF: Privacy-Preserving Contribution Assessment in Federated Learning Before Model Training.

Yixin Xu, Hao Wu, Jingzhou Zhu, Fengyuan Xu, Sheng Zhong

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

When LLMs Copy to Think: Uncovering Copy-Guided Attacks in Reasoning LLMs.

Yue Li, Xiao Li, Hao Wu, Yue Zhang, Fengyuan Xu, Xiuzhen Cheng, Sheng Zhong

Proceedings of the 22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2025

Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine?

Likun Zhang, Hao Wu, Lingcui Zhang, Fengyuan Xu, Jin Cao, Fenghua Li, Ben Niu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Uncovering Prompt Elements: Cloning System Prompts from Behavioral Traces.

Yi Qian, Fei Peng, Hao Wu, Ligeng Chen, Bing Mao

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

HiPOD: Hierarchical Pruning for Low-Distinction Multi-Scale Object Detection on Edge Devices.

Jieyu Zhou, Feng Lyu, Mingliu Liu, Hao Wu, Xueying Li, Fan Wu, Yaoxue Zhang

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition.

Xin Ding, Hao Wu, Yifan Yang, Shiqi Jiang, Qianxi Zhang, Donglin Bai, Zhibo Chen, Ting Cao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Multi-Label and Evolvable Dataset Preparation for Web-Based Object Detection.

Shucheng Li, Jingzhou Zhu, Boyu Chang, Hao Wu, Fengyuan Xu, Sheng Zhong

ACM Trans. Knowl. Discov. Data, November, 2024

TIM: Enabling Large-Scale White-Box Testing on In-App Deep Learning Models.

Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Fengyuan Xu, Yunxin Liu, Sheng Zhong

IEEE Trans. Inf. Forensics Secur., 2024

FLiP: Privacy-Preserving Federated Learning based on the Principle of Least Privileg.

ShiMao Xu, Xiaopeng Ke, Xing Su, Shucheng Li, Hao Wu, Sheng Zhong, Fengyuan Xu

CoRR, 2024

Attention Is All You Need for LLM-based Code Vulnerability Localization.

Yue Li, Xiao Li, Hao Wu, Yue Zhang, Xiuzhen Cheng, Sheng Zhong, Fengyuan Xu

CoRR, 2024

Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling.

Hao Wu, Donglin Bai, Shiqi Jiang, Qianxi Zhang, Yifan Yang, Ting Cao, Fengyuan Xu

CoRR, 2024

TTFL: Towards Trustworthy Federated Learning with Arm Confidential Computing.

Lizhi Sun, Jingzhou Zhu, Boyu Chang, Yixin Xu, Bo Yang, Hao Wu, Fengyuan Xu, Sheng Zhong

Proceedings of the 23rd IEEE International Conference on Trust, 2024

CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation.

Hao Wu, Likun Zhang, Shucheng Li, Fengyuan Xu, Sheng Zhong

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

VIDAR: Data Quality Improvement for Monocular 3D Reconstruction through In-situ Visual Interaction.

Han Gao, Yating Liu, Fang Cao, Hao Wu, Fengyuan Xu, Sheng Zhong

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

MuSR: Multi-Scale 3D Scenes Reconstruction based on Monocular Video.

Han Gao, Hao Wu, Peiwen Dong, Yixin Xu, Fengyuan Xu, Sheng Zhong

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

LEAP: TrustZone Based Developer-Friendly TEE for Intelligent Mobile Apps.

Lizhi Sun, Shuocheng Wang, Hao Wu, Yuhang Gong, Fengyuan Xu, Yunxin Liu, Hao Han, Sheng Zhong

IEEE Trans. Mob. Comput., December, 2023

Dataset Preparation for Arbitrary Object Detection: An Automatic Approach based on Web Information in English.

Shucheng Li, Boyu Chang, Bo Yang, Hao Wu, Sheng Zhong, Fengyuan Xu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SIEGE: Self-Supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection.

Shucheng Li, Runchuan Wang, Hao Wu, Sheng Zhong, Fengyuan Xu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

GAPter: Gray-Box Data Protector for Deep Learning Inference Services at User Side.

Hao Wu, Bo Yang, Xiaopeng Ke, Siyi He, Fengyuan Xu, Sheng Zhong

Proceedings of the IEEE International Conference on Acoustics, 2023

APter: Privacy Enhancement in Deep Learning Services following Principle of Least Privilege.

Hao Wu

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

Automation Slicing and Testing for in-App Deep Learning Models.

Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Minghao Li, Fengyuan Xu, Yunxin Liu, Sheng Zhong

CoRR, 2022

DIComP: Lightweight Data-Driven Inference of Binary Compiler Provenance with High Accuracy.

Ligeng Chen, Zhongling He, Hao Wu, Fengyuan Xu, Yi Qian, Bing Mao

Proceedings of the IEEE International Conference on Software Analysis, 2022

AVMiner: Expansible and Semantic-Preserving Anti-Virus Labels Mining Method.

Ligeng Chen, Zhongling He, Hao Wu, Yuhang Gong, Bing Mao

Proceedings of the IEEE International Conference on Trust, 2022

Towards Practical and Efficient Long Video Summary.

Xiaopeng Ke, Boyu Chang, Hao Wu, Fengyuan Xu, Sheng Zhong

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

App Developer Centric Trusted Execution Environment.

Lizhi Sun, Shuocheng Wang, Hao Wu, Yuhang Gong, Fengyuan Xu, Yunxin Liu, Hao Han, Sheng Zhong

CoRR, 2021

DAPter: Preventing User Data Abuse in Deep Learning Inference Services.

Hao Wu, Xuejin Tian, Yuhang Gong, Xing Su, Minghao Li, Fengyuan Xu

Proceedings of the WWW '21: The Web Conference 2021, 2021

PECAM: privacy-enhanced video streaming and analytics via securely-reversible transformation.

Hao Wu, Xuejin Tian, Minghao Li, Yunxin Liu, Ganesh Ananthanarayanan, Fengyuan Xu, Sheng Zhong

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

2020

EMO: real-time emotion recognition from single-eye images for resource-constrained eyewear devices.

Hao Wu, Jinghao Feng, Xuejin Tian, Edward Sun, Yunxin Liu, Bo Dong, Fengyuan Xu, Sheng Zhong

Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020

2019

secGAN: A Cycle-Consistent GAN for Securely-Recoverable Video Transformation.

Hao Wu, Jinghao Feng, Xuejin Tian, Fengyuan Xu, Yunxin Liu, XiaoFeng Wang, Sheng Zhong

Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and Intelligent Edges, 2019

Broken Relationship of Mobile User Intentions and Permission Control of Shared System Resources.

Hao Wu, Zheng Qin, Xuejin Tian, Edward Sun, Fengyuan Xu, Sheng Zhong

Proceedings of the 2019 IEEE Conference on Dependable and Secure Computing, 2019