Dongqi Han

According to our database, Dongqi Han authored at least 41 papers between 2019 and 2024.

Collaborative distances:

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

2024

A multi-scale feature selection module based architecture for the diagnosis of Alzheimer's disease on [18F]FDG PET.

Yuling Wang, Shijie Chen, Xin Tian, Yuan Lin, Dongqi Han, Ping Yao, Hang Xu, Yuanyuan Wang, Jie Zhao

Int. J. Medical Informatics, 2024

FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification under Environment Shifts.

Susu Cui, Xueying Han, Dongqi Han, Zhiliang Wang, Weihang Wang, Yun Li, Bo Jiang, Baoxu Liu, Zhigang Lu

CoRR, 2024

The VEP Booster: A Closed-Loop AI System for Visual EEG Biomarker Auto-generation.

Junwen Luo, Chengyong Jiang, Qingyuan Chen, Dongqi Han, Yansen Wang, Biao Yan, Dongsheng Li, Jiayi Zhang

CoRR, 2024

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators.

Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

CoRR, 2024

Understanding Training-free Diffusion Guidance: Mechanisms and Limitations.

Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li

CoRR, 2024

Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors.

Hangsheng Zhang, Dongqi Han, Yinlong Liu, Zhiliang Wang, Jiyan Sun, Shangyuan Zhuang, Jiqiang Liu, Jinsong Dong

CoRR, 2024

Network anomaly detection via similarity-aware ensemble learning with ADSim.

Wenqi Chen, Zhiliang Wang, Liyuan Chang, Kai Wang, Ying Zhong, Dongqi Han, Chenxin Duan, Xia Yin, Jiahai Yang, Xingang Shi

Comput. Networks, 2024

AudiTrim: A Real-time, General, Efficient, and Low-overhead Data Compaction System for Intrusion Detection.

Hongbin Sun, Su Wang, Zhiliang Wang, Zheyu Jiang, Dongqi Han, Jiahai Yang

Proceedings of the 27th International Symposium on Research in Attacks, 2024

TrafficSiam: More Realistic Few-shot Website Fingerprinting Attack with Contrastive Learning.

Shangdong Wang, Zhiliang Wang, Chenglong Li, Dongqi Han, Jiahai Yang, Hui Zhang

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks.

Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

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

Addressing Signal Delay in Deep Reinforcement Learning.

William Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rules Refine the Riddle: Global Explanation for Deep Learning-Based Anomaly Detection in Security Applications.

Dongqi Han, Zhiliang Wang, Ruitao Feng, Minghui Jin, Wenqi Chen, Kai Wang, Su Wang, Jiahai Yang, Xingang Shi, Xia Yin, Yang Liu

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Toward Open-ended Embodied Tasks Solving.

William Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li

CoRR, 2023

AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine.

Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Varut Vardhanabhuti, Dongsheng Li

CoRR, 2023

Energy-Efficient Visual Search by Eye Movement and Low-Latency Spiking Neural Network.

Yunhui Zhou, Dongqi Han, Yuguo Yu

CoRR, 2023

Habits and goals in synergy: a variational Bayesian framework for behavior.

Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani

CoRR, 2023

Cutting Onions With Others' Hands: A First Measurement of Tor Proxies in the Wild.

Dongqi Han, Shangdong Wang, Zhize He, Zhiliang Wang, Wenqi Chen, Chenglong Li, Jiahai Yang, Xingang Shi, Xia Yin

Proceedings of the IFIP Networking Conference, 2023

BARS: Local Robustness Certification for Deep Learning based Traffic Analysis Systems.

Kai Wang, Zhiliang Wang, Dongqi Han, Wenqi Chen, Jiahai Yang, Xingang Shi, Xia Yin

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation.

Dongqi Han, Zhiliang Wang, Wenqi Chen, Kai Wang, Rui Yu, Su Wang, Han Zhang, Zhihua Wang, Minghui Jin, Jiahai Yang, Xingang Shi, Xia Yin

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Anomaly Detection in Heterogeneous Time Series Data for Server-Monitoring Tasks.

Rui Yu, Fei Xiao, Zhiliang Wang, Jiahai Yang, Dongqi Han, Zhihua Wang, Minghui Jin, Chenglong Li, Enhuan Dong, Shutao Xia

Proceedings of the IEEE Symposium on Computers and Communications, 2023

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling.

Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li

Proceedings of the International Conference on Machine Learning, 2023

Dr.'s Eye: The Design and Evaluation of a Video Conferencing System to Support Doctor Appointments in Home Settings.

Dongqi Han, Denise Y. Geiskkovitch, Ye Yuan, Chelsea Mills, Ce Zhong, Amy Yo Sue Chen, Wolfgang Stuerzlinger, Carman Neustaedter

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

A Scenario-Based Study of Doctors and Patients on Video Conferencing Appointments from Home.

Dongqi Han, Yasamin Heshmat, Denise Y. Geiskkovitch, Zixuan Tan, Carman Neustaedter

ACM Trans. Comput. Hum. Interact., 2022

THREATRACE: Detecting and Tracing Host-Based Threats in Node Level Through Provenance Graph Learning.

Su Wang, Zhiliang Wang, Tao Zhou, Hongbin Sun, Xia Yin, Dongqi Han, Han Zhang, Xingang Shi, Jiahai Yang

IEEE Trans. Inf. Forensics Secur., 2022

ROV-MI: Large-Scale, Accurate and Efficient Measurement of ROV Deployment.

Wenqi Chen, Zhiliang Wang, Dongqi Han, Chenxin Duan, Xia Yin, Jiahai Yang, Xingang Shi

Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

Variational oracle guiding for reinforcement learning.

Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors.

Dongqi Han, Zhiliang Wang, Ying Zhong, Wenqi Chen, Jiahai Yang, Shuqiang Lu, Xingang Shi, Xia Yin

IEEE J. Sel. Areas Commun., 2021

Goal-Directed Planning by Reinforcement Learning and Active Inference.

Dongqi Han, Kenji Doya, Jun Tani

CoRR, 2021

Learning Memory-Dependent Continuous Control from Demonstrations.

Siqing Hou, Dongqi Han, Jun Tani

CoRR, 2021

ADSIM: Network Anomaly Detection via Similarity-aware Heterogeneous Ensemble Learning.

Wenqi Chen, Zhiliang Wang, Ying Zhong, Dongqi Han, Chenxin Duan, Xia Yin, Jiahai Yang, Xingang Shi

Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications.

Dongqi Han, Zhiliang Wang, Wenqi Chen, Ying Zhong, Su Wang, Han Zhang, Jiahai Yang, Xingang Shi, Xia Yin

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

2020

Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks.

Dongqi Han, Kenji Doya, Jun Tani

Neural Networks, 2020

A multidimensional chaotic image encryption algorithm based on the region of interest.

Yang Liu, Jindong Zhang, Dongqi Han, Peibin Wu, Yiding Sun, Young Shik Moon

Multim. Tools Appl., 2020

Real-time feedback watermarking authentication scheme for streaming media.

Dongqi Han, Jindong Zhang, Yang Liu, Peibin Wu, Yiding Sun

Multim. Tools Appl., 2020

Practical Traffic-space Adversarial Attacks on Learning-based NIDSs.

Dongqi Han, Zhiliang Wang, Ying Zhong, Wenqi Chen, Jiahai Yang, Shuqiang Lu, Xingang Shi, Xia Yin

CoRR, 2020

Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks.

Dongqi Han, Erik De Schutter, Sungho Hong

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Variational Recurrent Models for Solving Partially Observable Control Tasks.

Dongqi Han, Kenji Doya, Jun Tani

Proceedings of the 8th International Conference on Learning Representations, 2020

Exploring Video Conferencing for Doctor Appointments in the Home: A Scenario-Based Approach from Patients' Perspectives.

Dongqi Han, Yasamin Heshmat, Carman Neustaedter

Proceedings of the 46th Graphics Interface Conference 2020, 2020

Concerns of Primary Care Physicians for Video-Based Visits.

Dongqi Han, Carman Neustaedter, Zixuan Tan

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning.

Tadashi Kozuno, Dongqi Han, Kenji Doya

CoRR, 2019

Emergence of Hierarchy via Reinforcement Learning Using a Multiple Timescale Stochastic RNN.

Dongqi Han, Kenji Doya, Jun Tani

CoRR, 2019