Chenglin Miao

According to our database, Chenglin Miao authored at least 44 papers between 2013 and 2024.

Collaborative distances:

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

2024

Backdoor Attacks via Machine Unlearning.

Zihao Liu, Tianhao Wang, Mengdi Huai, Chenglin Miao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

PhaseAnti: An Anti-Interference WiFi-Based Activity Recognition System Using Interference-Independent Phase Component.

Jinyang Huang, Bin Liu, Chenglin Miao, Yan Lu, Qijia Zheng, Yu Wu, Jiancun Liu, Lu Su, Chang Wen Chen

IEEE Trans. Mob. Comput., May, 2023

Towards Generalized mmWave-based Human Pose Estimation through Signal Augmentation.

Hongfei Xue, Qiming Cao, Chenglin Miao, Yan Ju, Haochen Hu, Aidong Zhang, Lu Su

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text.

Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

TileMask: A Passive-Reflection-based Attack against mmWave Radar Object Detection in Autonomous Driving.

Yi Zhu, Chenglin Miao, Hongfei Xue, Zhengxiong Li, Yunnan Yu, Wenyao Xu, Lu Su, Chunming Qiao

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Protecting Your Voice from Speech Synthesis Attacks.

Zihao Liu, Yan Zhang, Chenglin Miao

Proceedings of the Annual Computer Security Applications Conference, 2023

2022

Joint Charging and Relocation Recommendation for E-Taxi Drivers via Multi-Agent Mean Field Hierarchical Reinforcement Learning.

Enshu Wang, Rong Ding, Zhaoxing Yang, Haiming Jin, Chenglin Miao, Lu Su, Fan Zhang, Chunming Qiao, Xinbing Wang

IEEE Trans. Mob. Comput., 2022

On the Robustness of Metric Learning: An Adversarial Perspective.

Mengdi Huai, Tianhang Zheng, Chenglin Miao, Liuyi Yao, Aidong Zhang

ACM Trans. Knowl. Discov. Data, 2022

Traffic-Data Recovery Using Geometric-Algebra-Based Generative Adversarial Network.

Di Zang, Yongjie Ding, Xiaoke Qu, Chenglin Miao, Xihao Chen, Junqi Zhang, Keshuang Tang

Sensors, 2022

Long-Term Traffic Speed Prediction Based on Geometric Algebra ConvLSTM and Graph Attention.

Chenglin Miao, Wen Su, Yanqing Fu, Xihao Chen, Di Zang

Proceedings of the IEEE International Conference on Smart Internet of Things, 2022

Towards Backdoor Attacks against LiDAR Object Detection in Autonomous Driving.

Yan Zhang, Yi Zhu, Zihao Liu, Chenglin Miao, Foad Hajiaghajani, Lu Su, Chunming Qiao

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization.

Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text.

Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Towards Automating Model Explanations with Certified Robustness Guarantees.

Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Revisiting Prioritized Experience Replay: A Value Perspective.

Ang A. Li, Zongqing Lu, Chenglin Miao

CoRR, 2021

Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous Driving.

Yi Zhu, Chenglin Miao, Foad Hajiaghajani, Mengdi Huai, Lu Su, Chunming Qiao

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning.

Xinyi Xu, Lingjuan Lyu, Xingjun Ma, Chenglin Miao, Chuan Sheng Foo, Bryan Kian Hsiang Low

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

mmMesh: towards 3D real-time dynamic human mesh construction using millimeter-wave.

Hongfei Xue, Yan Ju, Chenglin Miao, Yijiang Wang, Shiyang Wang, Aidong Zhang, Lu Su

Proceedings of the MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services, Virtual Event, Wisconsin, USA, 24 June, 2021

Can We Use Arbitrary Objects to Attack LiDAR Perception in Autonomous Driving?

Yi Zhu, Chenglin Miao, Tianhang Zheng, Foad Hajiaghajani, Lu Su, Chunming Qiao

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Learning Distance Metrics from Probabilistic Information.

Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang

ACM Trans. Knowl. Discov. Data, 2020

DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition.

Hongfei Xue, Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shiyang Wang, Ye Yuan, Shuochao Yao, Aidong Zhang, Lu Su

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Towards 3D human pose construction using wifi.

Wenjun Jiang, Hongfei Xue, Chenglin Miao, Shiyang Wang, Sen Lin, Chong Tian, Srinivasan Murali, Haochen Hu, Zhi Sun, Lu Su

Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

Towards Differentially Private Truth Discovery for Crowd Sensing Systems.

Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Global Interpretation for Patient Similarity Learning.

Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, Aidong Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Towards Interpretation of Pairwise Learning.

Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Pairwise Learning with Differential Privacy Guarantees.

Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Privacy-Preserving Truth Discovery in Crowd Sensing Systems.

Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren

ACM Trans. Sens. Networks, 2019

Towards Data Poisoning Attack against Knowledge Graph Embedding.

Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren

CoRR, 2019

DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data.

Hongfei Xue, Wenjun Jiang, Chenglin Miao, Ye Yuan, Fenglong Ma, Xin Ma, Yijiang Wang, Shuochao Yao, Wenyao Xu, Aidong Zhang, Lu Su

Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

Data Poisoning Attack against Knowledge Graph Embedding.

Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm.

Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Privacy-aware Synthesizing for Crowdsourced Data.

Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Towards Quality Aware Information Integration in Distributed Sensing Systems.

Wenjun Jiang, Chenglin Miao, Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F. Abdelzaher, Jiawei Han, Xue (Steve) Liu, Yan Gao, Lance M. Kaplan

IEEE Trans. Parallel Distributed Syst., 2018

Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing.

Chenglin Miao, Qi Li, Lu Su, Mengdi Huai, Wenjun Jiang, Jing Gao

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Uncorrelated Patient Similarity Learning.

Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Towards Data Poisoning Attacks in Crowd Sensing Systems.

Chenglin Miao, Qi Li, Houping Xiao, Wenjun Jiang, Mengdi Huai, Lu Su

Proceedings of the Nineteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018

Towards Environment Independent Device Free Human Activity Recognition.

Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shuochao Yao, Yaqing Wang, Ye Yuan, Hongfei Xue, Chen Song, Xin Ma, Dimitrios Koutsonikolas, Wenyao Xu, Lu Su

Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery.

Yaliang Li, Chenglin Miao, Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin, Kui Ren

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Metric Learning from Probabilistic Labels.

Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Towards Personalized Learning in Mobile Sensing Systems.

Wenjun Jiang, Qi Li, Lu Su, Chenglin Miao, Quanquan Gu, Wenyao Xu

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017

A lightweight privacy-preserving truth discovery framework for mobile crowd sensing systems.

Chenglin Miao, Lu Su, Wenjun Jiang, Yaliang Li, Miaomiao Tian

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

2015

Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems.

Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren

Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

2013

R-MAC: Risk-Aware Dynamic MAC Protocol for Vehicular Cooperative Collision Avoidance System.

Weijie Guo, Liusheng Huang, Long Chen, Hongli Xu, Chenglin Miao

Int. J. Distributed Sens. Networks, 2013

A Trustworthiness Evaluation Method for Wireless Sensor Nodes Based on D-S Evidence Theory.

Chenglin Miao, Liusheng Huang, Weijie Guo, Hongli Xu

Proceedings of the Wireless Algorithms, Systems, and Applications, 2013