Emergence of Hierarchy via Reinforcement Learning Using a Multiple Timescale Stochastic RNN. - Dongqi Han; Kenji Doya; Jun Tani (CoRR, 2019)

Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning. - Tadashi Kozuno; Dongqi Han; Kenji Doya (CoRR, 2019)

Concerns of Primary Care Physicians for Video-Based Visits. - Dongqi Han; Carman Neustaedter; Zixuan Tan (CHI Extended Abstracts, 2020)

Exploring Video Conferencing for Doctor Appointments in the Home: A Scenario-Based Approach from Patients' Perspectives. - Dongqi Han; Yasamin Heshmat; Carman Neustaedter (Graphics Interface, 2020)

Variational Recurrent Models for Solving Partially Observable Control Tasks. - Dongqi Han; Kenji Doya; Jun Tani (ICLR, 2020)

Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks. - Dongqi Han; Erik De Schutter; Sungho Hong (NeurIPS, 2020)

Practical Traffic-space Adversarial Attacks on Learning-based NIDSs. - Dongqi Han; Zhiliang Wang; Ying Zhong; Wenqi Chen; Jiahai Yang 001; Shuqiang Lu; Xingang Shi; Xia Yin 001 (CoRR, 2020)

Real-time feedback watermarking authentication scheme for streaming media. - Dongqi Han; Jindong Zhang; Yang Liu; Peibin Wu; Yiding Sun (Multim. Tools Appl., 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)

Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks. - Dongqi Han; Kenji Doya; Jun Tani (Neural Networks, 2020)

DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications. - Dongqi Han; Zhiliang Wang; Wenqi Chen; Ying Zhong; Su Wang; Han Zhang 009; Jiahai Yang 001; Xingang Shi; Xia Yin 001 (CCS, 2021)

ADSIM: Network Anomaly Detection via Similarity-aware Heterogeneous Ensemble Learning. - Wenqi Chen; Zhiliang Wang; Ying Zhong; Dongqi Han; Chenxin Duan; Xia Yin 001; Jiahai Yang 001; Xingang Shi (IM, 2021)

Learning Memory-Dependent Continuous Control from Demonstrations. - Siqing Hou; Dongqi Han; Jun Tani (CoRR, 2021)

Goal-Directed Planning by Reinforcement Learning and Active Inference. - Dongqi Han; Kenji Doya; Jun Tani (CoRR, 2021)

Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors. - Dongqi Han; Zhiliang Wang; Ying Zhong; Wenqi Chen; Jiahai Yang 001; Shuqiang Lu; Xingang Shi; Xia Yin 001 (IEEE J. Sel. Areas Commun., 2021)

Variational oracle guiding for reinforcement learning. - Dongqi Han; Tadashi Kozuno; Xufang Luo; Zhao-Yun Chen; Kenji Doya; Yuqing Yang 001; Dongsheng Li 002 (ICLR, 2022)

ROV-MI: Large-Scale, Accurate and Efficient Measurement of ROV Deployment. - Wenqi Chen; Zhiliang Wang; Dongqi Han; Chenxin Duan; Xia Yin 001; Jiahai Yang 001; Xingang Shi (NDSS, 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 001; Dongqi Han; Han Zhang 009; Xingang Shi; Jiahai Yang 001 (IEEE Trans. Inf. Forensics Secur., 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)

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 010; Chelsea Mills; Ce Zhong; Amy Yo Sue Chen; Wolfgang Stuerzlinger; Carman Neustaedter (CHI, 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 002 (ICML, 2023)

Anomaly Detection in Heterogeneous Time Series Data for Server-Monitoring Tasks. - Rui Yu 003; Fei Xiao; Zhiliang Wang; Jiahai Yang 001; Dongqi Han; Zhihua Wang; Minghui Jin; Chenglong Li 006; Enhuan Dong; Shutao Xia (ISCC, 2023)

Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation. - Dongqi Han; Zhiliang Wang; Wenqi Chen; Kai Wang; Rui Yu 003; Su Wang; Han Zhang 009; Zhihua Wang; Minghui Jin; Jiahai Yang 001; Xingang Shi; Xia Yin 001 (NDSS, 2023)

BARS: Local Robustness Certification for Deep Learning based Traffic Analysis Systems. - Kai Wang; Zhiliang Wang; Dongqi Han; Wenqi Chen; Jiahai Yang 001; Xingang Shi; Xia Yin 001 (NDSS, 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 006; Jiahai Yang 001; Xingang Shi; Xia Yin 001 (IFIP Networking, 2023)

Habits and goals in synergy: a variational Bayesian framework for behavior. - Dongqi Han; Kenji Doya; Dongsheng Li 002; Jun Tani (CoRR, 2023)

Energy-Efficient Visual Search by Eye Movement and Low-Latency Spiking Neural Network. - Yunhui Zhou; Dongqi Han; Yuguo Yu (CoRR, 2023)

AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine. - Jie Lian; Xufang Luo; Caihua Shan; Dongqi Han; Varut Vardhanabhuti; Dongsheng Li 002 (CoRR, 2023)

Toward Open-ended Embodied Tasks Solving. - William Wei Wang; Dongqi Han; Xufang Luo; Yifei Shen; Charles Ling 001; Boyu Wang 004; Dongsheng Li 002 (CoRR, 2023)

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 001; Xingang Shi; Xia Yin 001; Yang Liu 003 (CCS, 2024)

Addressing Signal Delay in Deep Reinforcement Learning. - William Wei Wang; Dongqi Han; Xufang Luo; Dongsheng Li 002 (ICLR, 2024)

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. - Changze Lv; Yansen Wang; Dongqi Han; Xiaoqing Zheng; Xuanjing Huang 001; Dongsheng Li 002 (ICML, 2024)

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators. - Changze Lv; Dongqi Han; Yansen Wang; Xiaoqing Zheng; Xuanjing Huang 001; Dongsheng Li 002 (NeurIPS, 2024)

Understanding and Improving Training-free Loss-based Diffusion Guidance. - Yifei Shen; Xinyang Jiang; Yifan Yang 004; Yezhen Wang; Dongqi Han; Dongsheng Li 002 (NeurIPS, 2024)

TrafficSiam: More Realistic Few-shot Website Fingerprinting Attack with Contrastive Learning. - Shangdong Wang; Zhiliang Wang; Chenglong Li 006; Dongqi Han; Jiahai Yang 001; Hui Zhang 052 (NOMS, 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 001 (RAID, 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 001; Jiahai Yang 001; Xingang Shi (Comput. Networks, 2024)

Understanding Training-free Diffusion Guidance: Mechanisms and Limitations. - Yifei Shen; Xinyang Jiang; Yezhen Wang; Yifan Yang 004; Dongqi Han; Dongsheng Li 002 (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 002; Jiayi Zhang (CoRR, 2024)

FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification under Environment Shifts. - Susu Cui; Xueying Han; Dongqi Han; Zhiliang Wang; Weihang Wang 006; Yun Li; Bo Jiang 013; Baoxu Liu; Zhigang Lu 002 (CoRR, 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)

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key. - Zhihe Yang; Xufang Luo; Dongqi Han; Yunjian Xu; Dongsheng Li 002 (CVPR, 2025)

What Makes a Good Diffusion Planner for Decision Making? - Haofei Lu; Dongqi Han; Yifei Shen; Dongsheng Li 002 (ICLR, 2025)

ALM: A Two-Stage Traffic Anomaly Detection and Analysis System via the Large Language Model. - Songyun Wu; Enhuan Dong; Hong He; Zhiliang Wang; Dongqi Han; Haina Hu; Jiahai Yang (NOMS, 2025)

Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors. - Hangsheng Zhang; Dongqi Han; Shangyuan Zhuang; Zhiliang Wang; Jiyan Sun; Yinlong Liu; Jiqiang Liu; Jinsong Dong 001 (IEEE Trans. Dependable Secur. Comput., 2025)

FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification Under Environment Shifts. - Susu Cui; Xueying Han; Dongqi Han; Zhiliang Wang; Weihang Wang 006; Bo Jiang 013; Baoxu Liu; Zhigang Lu 002 (IEEE Trans. Inf. Forensics Secur., 2025)

End-to-End Attack Scene Reconstruction in a Host With Rules and Anomaly-Based Detection Models. - Su Wang; Hongbin Sun; Zhiliang Wang; Tao Zhou; Xia Yin 001; Dongqi Han; Han Zhang 009; Xingang Shi; Jiahai Yang 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Toward Relative Positional Encoding in Spiking Transformers. - Changze Lv; Yansen Wang; Dongqi Han; Yifei Shen; Xiaoqing Zheng; Xuanjing Huang 001; Dongsheng Li 002 (CoRR, 2025)

SimSort: A Powerful Framework for Spike Sorting by Large-Scale Electrophysiology Simulation. - Yimu Zhang; Dongqi Han; Yansen Wang; Yu Gu; Dongsheng Li 002 (CoRR, 2025)

Habitizing Diffusion Planning for Efficient and Effective Decision Making. - Haofei Lu; Yifei Shen; Dongsheng Li 002; Junliang Xing; Dongqi Han (CoRR, 2025)

Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs. - Zhihe Yang; Xufang Luo; Zilong Wang 006; Dongqi Han; Zhiyuan He; Dongsheng Li 002; Yunjian Xu (CoRR, 2025)

Language of Network: A Generative Pre-trained Model for Encrypted Traffic Comprehension. - Di Zhao; Bo Jiang 013; Song Liu; Susu Cui; Meng Shen 001; Dongqi Han; Xingmao Guan; Zhigang Lu 002 (CoRR, 2025)

EgoBrain: Synergizing Minds and Eyes For Human Action Understanding. - Nie Lin; Yansen Wang; Dongqi Han; Weibang Jiang; Jingyuan Li; Ryosuke Furuta; Yoichi Sato 001; Dongsheng Li 002 (CoRR, 2025)