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2020 – today
- 2024
[i19]Haobo Li, Wong Kam-Kwai, Yan Luo, Juntong Chen, Chengzhong Liu, Yaxuan Zhang, Alexis Kai-Hon Lau, Huamin Qu, Dongyu Liu:
Save It for the "Hot" Day: An LLM-Empowered Visual Analytics System for Heat Risk Management. CoRR abs/2406.03317 (2024)- [i18]Jiang Wu, Dongyu Liu, Yuchen Lin, Yingcai Wu:
CATP: Context-Aware Trajectory Prediction with Competition Symbiosis. CoRR abs/2407.07328 (2024) - [i17]Sam Yu-Te Lee, Aryaman Bahukhandi, Dongyu Liu, Kwan-Liu Ma:
Towards Dataset-scale and Feature-oriented Evaluation of Text Summarization in Large Language Model Prompts. CoRR abs/2407.12192 (2024) - [i16]Yun-Hsin Kuo, Dongyu Liu, Kwan-Liu Ma:
SpreadLine: Visualizing Egocentric Dynamic Influence. CoRR abs/2408.08992 (2024) - 2023
- [j15]Jiang Wu, Dongyu Liu
, Ziyang Guo, Yingcai Wu:
RASIPAM: Interactive Pattern Mining of Multivariate Event Sequences in Racket Sports. IEEE Trans. Vis. Comput. Graph. 29(1): 940-950 (2023) - [c21]Dongyu Liu, Linhou Bai, Wei Wang, Changchun Liang, Pengfei Xin:
Design and Practice of Space Station Manipulator Inspecting for Berthing Manned Spacecraft. ICIRA (8) 2023: 295-304 - [i15]Jiang Wu, Dongyu Liu, Ziyang Guo, Yingcai Wu:
Beep: Balancing Effectiveness and Efficiency when Finding Multivariate Patterns in Racket Sports. CoRR abs/2307.11780 (2023) - [i14]Alexandra Zytek, Wei-En Wang, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni:
Pyreal: A Framework for Interpretable ML Explanations. CoRR abs/2312.13084 (2023) - 2022
- [j14]Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni:
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 103:1-103:30 (2022) - [j13]Baoping Jiang, Dongyu Liu, Hamid Reza Karimi, Bo Li:
RBF Neural Network Sliding Mode Control for Passification of Nonlinear Time-Varying Delay Systems with Application to Offshore Cranes. Sensors 22(14): 5253 (2022) - [j12]Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni:
The Need for Interpretable Features: Motivation and Taxonomy. SIGKDD Explor. 24(1): 1-13 (2022) - [j11]Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni:
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models. IEEE Trans. Vis. Comput. Graph. 28(1): 378-388 (2022) - [j10]Jiang Wu, Dongyu Liu, Ziyang Guo, Qingyang Xu, Yingcai Wu:
TacticFlow: Visual Analytics of Ever-Changing Tactics in Racket Sports. IEEE Trans. Vis. Comput. Graph. 28(1): 835-845 (2022) - [j9]Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni:
Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making. IEEE Trans. Vis. Comput. Graph. 28(1): 1161-1171 (2022) - [c20]Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni:
AER: Auto-Encoder with Regression for Time Series Anomaly Detection. IEEE Big Data 2022: 1152-1161 - [c19]Minjun Dai, Yongsheng Li, Yong Wen, Dongyu Liu, Honglin Chen:
Blockchain-Based Social Network Access Control Mechanism. BlockSys 2022: 147-164 - [c18]Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Équille, Kalyan Veeramachaneni:
Sintel: A Machine Learning Framework to Extract Insights from Signals. SIGMOD Conference 2022: 1855-1865 - [i13]Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni:
The Need for Interpretable Features: Motivation and Taxonomy. CoRR abs/2202.11748 (2022) - [i12]Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Équille, Kalyan Veeramachaneni:
Sintel: A Machine Learning Framework to Extract Insights from Signals. CoRR abs/2204.09108 (2022) - [i11]Jiang Wu, Dongyu Liu, Ziyang Guo, Yingcai Wu:
RASIPAM: Interactive Pattern Mining of Multivariate Event Sequences in Racket Sports. CoRR abs/2208.00671 (2022) - [i10]Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni:
AER: Auto-Encoder with Regression for Time Series Anomaly Detection. CoRR abs/2212.13558 (2022) - 2021
- [j8]Anqi Cao, Xiao Xie, Ji Lan, Huihua Lu, Xinli Hou, Jiachen Wang, Hui Zhang, Dongyu Liu, Yingcai Wu:
MIG-Viewer: Visual analytics of soccer player migration. Vis. Informatics 5(3): 102-113 (2021) - [c17]Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni:
Sibyl: Explaining Machine Learning Models for High-Stakes Decision Making. CHI Extended Abstracts 2021: 315:1-315:6 - [i9]Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni:
Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making. CoRR abs/2103.02071 (2021) - [i8]Dongyu Liu, Kalyan Veeramachaneni, Alexander Geiger, Victor O. K. Li, Huamin Qu:
AQEyes: Visual Analytics for Anomaly Detection and Examination of Air Quality Data. CoRR abs/2103.12910 (2021) - [i7]Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni:
VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models. CoRR abs/2108.02550 (2021) - [i6]Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni:
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series. CoRR abs/2112.05734 (2021) - [i5]Dongyu Liu, Sanne J. van den Boom, Angelo Simone, Alejandro M. Aragón:
An interface-enriched generalized finite element formulation for locking-free coupling of non-conforming discretizations and contact. CoRR abs/2112.14234 (2021) - 2020
- [c16]Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. IEEE BigData 2020: 33-43 - [c15]Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni:
Understanding User-Bot Interactions for Small-Scale Automation in Open-Source Development. CHI Extended Abstracts 2020: 1-8 - [c14]Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Dongyu Liu, Mansour Alsaleh, Kalyan Veeramachaneni:
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records. DSAA 2020: 536-545 - [i4]Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. CoRR abs/2009.07769 (2020) - [i3]Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Dongyu Liu, Mansour Alsaleh, Kalyan Veeramachaneni:
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records. CoRR abs/2010.00509 (2020)
2010 – 2019
- 2019
- [j7]Dongyu Liu, Weiwei Cui, Kai Jin, Yuxiao Guo, Huamin Qu:
DeepTracker: Visualizing the Training Process of Convolutional Neural Networks. ACM Trans. Intell. Syst. Technol. 10(1): 6:1-6:25 (2019) - [j6]Dongyu Liu, Panpan Xu, Liu Ren:
TPFlow: Progressive Partition and Multidimensional Pattern Extraction for Large-Scale Spatio-Temporal Data Analysis. IEEE Trans. Vis. Comput. Graph. 25(1): 1-11 (2019) - [c13]Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu:
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. CHI 2019: 681 - [c12]Wei Geng, Dongyu Liu, Xiu Cao:
A Power Anomaly Detection Architecture Based on DNN. CSAE 2019: 30:1-30:5 - [c11]Xiaohui Tian, Mengyin Fu, Yi Yang, Meiling Wang, Dongyu Liu:
Local Smooth Path Planning for Turning Around in Narrow Environment. ISIE 2019: 1924-1929 - [c10]Dongyu Liu, Hong Liu, Yechao Liu, Zhiqi Li:
Research on Impedance Control of Flexible Joint Space Manipulator On-Orbit Servicing. ROBIO 2019: 77-82 - [i2]Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu:
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. CoRR abs/1902.05009 (2019) - 2018
- [c9]Dongyu Liu, Zexu Li, Zeyu Hu, Yong Li:
Distributed Reinforcement Learning for Quality-of-Service Routing in Wireless Device-to-device Networks. ICCC Workshops 2018: 282-286 - [i1]Dongyu Liu, Weiwei Cui, Kai Jin, Yuxiao Guo, Huamin Qu:
DeepTracker: Visualizing the Training Process of Convolutional Neural Networks. CoRR abs/1808.08531 (2018) - 2017
- [j5]Dongyu Liu, Fangzhou Guo, Bowen Deng, Huamin Qu, Yingcai Wu:
egoComp: A node-link-based technique for visual comparison of ego-networks. Inf. Vis. 16(3): 179-189 (2017) - [j4]Dongyu Liu, Di Weng, Yuhong Li, Jie Bao, Yu Zheng, Huamin Qu, Yingcai Wu:
SmartAdP: Visual Analytics of Large-scale Taxi Trajectories for Selecting Billboard Locations. IEEE Trans. Vis. Comput. Graph. 23(1): 1-10 (2017) - [c8]Dongyu Liu, Hong Liu, Bainan Zhang, Yu He, Chao Luo, Yiwei Liu:
Research on Space Manipulator System Man Machine Cooperation On-Orbit Operation Mode and Ground Test. ICIRA (3) 2017: 673-685 - 2016
- [j3]Qing Chen, Yuanzhe Chen, Dongyu Liu, Conglei Shi, Yingcai Wu, Huamin Qu:
PeakVizor: Visual Analytics of Peaks in Video Clickstreams from Massive Open Online Courses. IEEE Trans. Vis. Comput. Graph. 22(10): 2315-2330 (2016) - 2015
- [c7]Abishek Puri, Dongyu Liu, Shaoyu Chen, Siwei Fu, Tianyu Wang, Yeukyin Chan, Huamin Qu:
ParkVis: A visual analytic system for anomaly detection in DinoFun World. VAST 2015: 123-124 - [c6]Abishek Puri, Dongyu Liu, Shaoyu Chen, Siwei Fu, Tianyu Wang, Yeukyin Chan, Huamin Qu:
ParkVis: Visual analytic system for population movement in DinoFun World. VAST 2015: 153-154 - [c5]Abishek Puri, Dongyu Liu, Shaoyu Chen, Siwei Fu, Tianyu Wang, Yeukyin Chan, Huamin Qu:
ParkVis: Visual analytic system for communication data in DinoFun World. VAST 2015: 155-156 - 2013
- [c4]Hongxin Zhang, Dongyu Liu, Changhan Wang:
InSide: Interactive Sketching for Image Database Exploration. CAD/Graphics 2013: 423-424 - 2012
- [j2]Dongyu Liu, Fei Li, Bo Shen, Songqing Chen:
Building an efficient transcoding overlay for P2P streaming to heterogeneous devices. ACM Trans. Multim. Comput. Commun. Appl. 8(S1): 10:1-10:22 (2012)
2000 – 2009
- 2009
- [b1]Dongyu Liu:
Efficient Resource Management for Heterogeneous Devices Accessing Internet Streaming Content. George Mason University, Fairfax, Virginia, USA, 2009 - [c3]Dongyu Liu, Fei Li, Songqing Chen:
Towards Optimal Resource Utilization in Heterogeneous P2P Streaming. ICDCS 2009: 352-359 - 2008
- [j1]Dongyu Liu, Songqing Chen, Bo Shen:
Modeling and Optimization of Meta-Caching Assisted Transcoding. IEEE Trans. Multim. 10(8): 1444-1454 (2008) - 2006
- [c2]Shiping Chen, Dongyu Liu, Songqing Chen, Sushil Jajodia:
V-COPS: A Vulnerability-Based Cooperative Alert Distribution System. ACSAC 2006: 43-56 - [c1]Dongyu Liu, Songqing Chen, Bo Shen:
AMTrac: adaptive meta-caching for transcoding. NOSSDAV 2006: 6
Coauthor Index
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last updated on 2024-09-26 00:54 CEST by the dblp team
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