Dongqi Han
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
13
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | GIANT: Structure-Agnostic Practical Adversarial Attacks for Graph-based Network Intrusion Detection Systems. | Jianjin Zhao, Dongqi Han, Chao Ma, Qi Li, Zhiwei Cui, Hongliang Zhu, Hua Zhang, Mingshu He, Yijun Lu, Jiong Dong, Yuyin Ma, Meng Shen |
| 2025 | CCS | 1BIT: Persistent Path Validation with Customized Noise Signal Characteristics. | Keji Miao, Jie Yuan, Xinghai Wei, Xingwu Wang, Dongqi Han, Haiguang Wang, Runshan Hu, Xiaoyong Li, Zitong Jin, Wenqi Chen |
| 2025 | CVPR | 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 |
| 2025 | ICDCS | IB-SC: Simplify Key Management to Enable Quick Start for Short-session Path Validation. | Keji Miao, Xinghai Wei, Dongqi Han, Jie Yuan, Zhen Qin, Qun Li, Haiguang Wang, Tieyan Li |
| 2025 | ICLR | What Makes a Good Diffusion Planner for Decision Making? | Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li |
| 2025 | ICML | Habitizing Diffusion Planning for Efficient and Effective Decision Making. | Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han |
| 2025 | NOMS | 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 |
| 2024 | CCS | 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 |
| 2024 | ICLR | Addressing Signal Delay in Deep Reinforcement Learning. | William Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li |
| 2024 | ICML | Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. | Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li |
| 2024 | NOMS | TrafficSiam: More Realistic Few-shot Website Fingerprinting Attack with Contrastive Learning. | Shangdong Wang, Zhiliang Wang, Chenglong Li, Dongqi Han, Jiahai Yang, Hui Zhang |
| 2024 | RAID | 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 |
| 2023 | CHI | 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 |
| 2023 | ICML | 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 |
| 2023 | ISCC | 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 |
| 2023 | NDSS | 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 |
| 2023 | NDSS | 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 |
| 2023 | Networking | 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 |
| 2022 | ICLR | Variational oracle guiding for reinforcement learning. | Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li |
| 2022 | NDSS | 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 |
| 2021 | CCS | 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 |
| 2021 | IM | 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 |
| 2020 | CHI | Concerns of Primary Care Physicians for Video-Based Visits. | Dongqi Han, Carman Neustaedter, Zixuan Tan |
| 2020 | ICLR | Variational Recurrent Models for Solving Partially Observable Control Tasks. | Dongqi Han, Kenji Doya, Jun Tani |