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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j20]Siming Chen
, Liang Gou, Michael Kamp, Dong Sun:
Visual Computing for Autonomous Driving. IEEE Computer Graphics and Applications 44(3): 11-13 (2024)- [j19]Suphanut Jamonnak, Jiajing Guo, Wenbin He, Liang Gou, Liu Ren:
OW-Adapter: Human-Assisted Open-World Object Detection with a Few Examples. IEEE Trans. Vis. Comput. Graph. 30(1): 694-704 (2024) - [c41]Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren:
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. AAAI 2024: 1555-1563 - [c40]Jiajing Guo, Vikram Mohanty, Jorge Henrique Piazentin Ono, Hongtao Hao, Liang Gou, Liu Ren:
Investigating Interaction Modes and User Agency in Human-LLM Collaboration for Domain-Specific Data Analysis. CHI Extended Abstracts 2024: 203:1-203:9 - [c39]Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren:
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. CVPR 2024: 4187-4196 - [c38]Sanbao Su, Xin Li, Thang Long Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, Liu Ren:
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks. ECCV (78) 2024: 325-342 - [c37]Jiajing Guo, Vikram Mohanty, Hongtao Hao, Liang Gou, Liu Ren:
Can LLMs Infer Domain Knowledge from Code Exemplars? A Preliminary Study. IUI Companion 2024: 95-100 - [c36]Xiaoyu Zhang, Jorge Henrique Piazentin Ono, Wenbin He, Liang Gou, Mrinmaya Sachan, Kwan-Liu Ma, Liu Ren:
Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer. IUI 2024: 274-287 - [i15]Xiwei Xuan, Jorge Piazentin Ono, Liang Gou, Kwan-Liu Ma, Liu Ren:
AttributionScanner: A Visual Analytics System for Metadata-Free Data-Slicing Based Model Validation. CoRR abs/2401.06462 (2024) - [i14]Thang Doan, Sima Behpour, Xin Li, Wenbin He, Liang Gou, Liu Ren:
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets. CoRR abs/2403.06295 (2024) - [i13]Jiajing Guo, Vikram Mohanty, Jorge Piazentin Ono, Hongtao Hao, Liang Gou, Liu Ren:
Investigating Interaction Modes and User Agency in Human-LLM Collaboration for Domain-Specific Data Analysis. CoRR abs/2405.05548 (2024) - [i12]Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren:
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. CoRR abs/2406.05271 (2024) - [i11]Jinbin Huang, Wenbin He, Liang Gou, Liu Ren, Chris Bryan:
InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation. CoRR abs/2406.17838 (2024) - 2023
- [j18]Liang Gou, Dongming Bian, Baogui Dong, Yulei Nie:
Improved Spread Spectrum Aloha Protocol and Beam-Hopping Approach for Return Channel in Satellite Internet of Things. Sensors 23(4): 2116 (2023) - [j17]Md. Naimul Hoque, Wenbin He, Arvind Kumar Shekar, Liang Gou, Liu Ren:
Visual Concept Programming: A Visual Analytics Approach to Injecting Human Intelligence at Scale. IEEE Trans. Vis. Comput. Graph. 29(1): 74-83 (2023) - [j16]Xiaoyu Zhang, Jorge Piazentin Ono, Huan Song, Liang Gou, Kwan-Liu Ma, Liu Ren:
SliceTeller: A Data Slice-Driven Approach for Machine Learning Model Validation. IEEE Trans. Vis. Comput. Graph. 29(1): 842-852 (2023) - [c35]Wenbin He, Suphanut Jamonnak, Liang Gou, Liu Ren:
CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation. CVPR 2023: 11207-11216 - [c34]Sima Behpour, Thang Long Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren:
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients. NeurIPS 2023 - [c33]Xin Li, Sima Behpour, Thang Long Doan, Wenbin He, Liang Gou, Liu Ren:
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models. NeurIPS 2023 - [i10]Wenbin He, Suphanut Jamonnak, Liang Gou, Liu Ren:
CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation. CoRR abs/2305.01040 (2023) - [i9]Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren:
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. CoRR abs/2306.14291 (2023) - [i8]Xin Li, Sima Behpour, Thang Doan, Wenbin He, Liang Gou, Liu Ren:
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models. CoRR abs/2307.11227 (2023) - [i7]Sima Behpour, Thang Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren:
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients. CoRR abs/2308.00310 (2023) - 2022
- [j15]Wenbin He, Lincan Zou, Arvind Kumar Shekar, Liang Gou, Liu Ren:
Where Can We Help? A Visual Analytics Approach to Diagnosing and Improving Semantic Segmentation of Movable Objects. IEEE Trans. Vis. Comput. Graph. 28(1): 1040-1050 (2022) - [c32]Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren:
Self-supervised Semantic Segmentation Grounded in Visual Concepts. IJCAI 2022: 949-955 - [c31]Claudia Plant, Nina C. Hubig, Junming Shao, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Anamaria Crisan:
Visualization in Data Science VDS @ KDD 2022. KDD 2022: 4894-4895 - [i6]Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren:
Novelty-based Generalization Evaluation for Traffic Light Detection. CoRR abs/2201.00531 (2022) - [i5]Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren:
Self-supervised Semantic Segmentation Grounded in Visual Concepts. CoRR abs/2203.13868 (2022) - 2021
- [j14]Arvind Kumar Shekar, Liang Gou, Liu Ren, Axel Wendt:
Label-Free Robustness Estimation of Object Detection CNNs for Autonomous Driving Applications. Int. J. Comput. Vis. 129(4): 1185-1201 (2021) - [j13]Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren:
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection. IEEE Trans. Vis. Comput. Graph. 27(2): 261-271 (2021) - [c30]Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren:
Novelty-based Generalization Evaluation for Traffic Light Detection. ICMLA 2021: 159-165 - [c29]Claudia Plant, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Junming Shao:
VDS'21: Visualization in Data Science. KDD 2021: 4149-4150 - 2020
- [j12]Jing Hu, Guangxia Li, Dongming Bian, Shengchao Shi, Ruixing Ge, Liang Gou:
Energy-Efficient Cooperative Spectrum Sensing in Cognitive Satellite Terrestrial Networks. IEEE Access 8: 161396-161405 (2020) - [j11]Jing Hu, Guangxia Li, Dongming Bian, Liang Gou, Chuang Wang:
Optimal Power Control for Cognitive LEO Constellation With Terrestrial Networks. IEEE Commun. Lett. 24(3): 622-625 (2020) - [c28]Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang:
Towards a Flexible Embedding Learning Framework. ICDM (Workshops) 2020: 605-612 - [c27]Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang:
DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks. WSDM 2020: 519-527 - [i4]Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang:
Towards a Flexible Embedding Learning Framework. CoRR abs/2009.10989 (2020) - [i3]Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren:
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection. CoRR abs/2009.12975 (2020)
2010 – 2019
- 2019
- [j10]Junpeng Wang, Liang Gou, Han-Wei Shen, Hao Yang:
DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks. IEEE Trans. Vis. Comput. Graph. 25(1): 288-298 (2019) - [j9]Junpeng Wang, Liang Gou, Wei Zhang, Hao Yang, Han-Wei Shen:
DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation. IEEE Trans. Vis. Comput. Graph. 25(6): 2168-2180 (2019) - 2018
- [j8]Junpeng Wang, Liang Gou, Hao Yang, Han-Wei Shen:
GANViz: A Visual Analytics Approach to Understand the Adversarial Game. IEEE Trans. Vis. Comput. Graph. 24(6): 1905-1917 (2018) - [i2]Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang:
Dynamic Graph Representation Learning via Self-Attention Networks. CoRR abs/1812.09430 (2018) - 2017
- [i1]Bin Xu, Liang Gou, Anbang Xu, Jalal Mahmud, Dan Cosley:
Raising Awareness of Conveyed Personality In Social Media Traces. CoRR abs/1710.04205 (2017) - 2016
- [j7]Liang Gou, Gengxin Zhang, Zhengguo Bian, Dongming Bian, Zhidong Xie:
Minimizing Completion Time for Relay-Assisted Multicast With Instantly Decodable Network Coding. IEEE Commun. Lett. 20(3): 434-437 (2016) - [j6]Liang Gou, Gengxin Zhang, Wei Zhang, Dongming Bian:
Cluster-based architecture and network model for InterPlaNetary Internet. J. Commun. Inf. Networks 1(3): 51-66 (2016) - [j5]Liang Gou, Gengxin Zhang, Dongming Bian, Wei Zhang, Zhidong Xie:
Data dissemination in wireless sensor networks with instantly decodable network coding. J. Commun. Networks 18(5): 846-856 (2016) - [c26]Anbang Xu, Haibin Liu, Liang Gou, Rama Akkiraju, Jalal Mahmud, Vibha Sinha, Yuheng Hu, Mu Qiao:
Predicting Perceived Brand Personality with Social Media. ICWSM 2016: 436-445 - [c25]Bin Xu, Liang Gou, Anbang Xu, Dan Cosley, Jalal Mahmud:
InsightMe: Raising Awareness of Conveyed Personality in Social Media Traces. ICWSM 2016: 727-730 - [c24]Xiaotong Liu, Anbang Xu, Liang Gou, Haibin Liu, Rama Akkiraju, Han-Wei Shen:
SocialBrands: Visual analysis of public perceptions of brands on social media. VAST 2016: 71-80 - [c23]Robert Deloatch, Liang Gou, Chris Kau, Jalal Mahmud, Michelle X. Zhou:
ScopeG: A Mobile Application for Exploration and Comparison of Personality Traits. IUI Companion 2016: 102-105 - 2015
- [j4]Wei Zhang, Gengxin Zhang, Liang Gou, Bo Kong, Dongming Bian:
Delay Minimization Topology Control in Planetary Surface Network: An Autonomous Systems Approach. Int. J. Distributed Sens. Networks 11: 726274:1-726274:13 (2015) - [j3]Wei Zhang, Gengxin Zhang, Liang Gou, Bo Kong, Dongming Bian:
A Hierarchical Autonomous System Based Topology Control Algorithm in Space Information Network. KSII Trans. Internet Inf. Syst. 9(9): 3572-3593 (2015) - [c22]Yang Wang, Liang Gou, Anbang Xu, Michelle X. Zhou, Huahai Yang, Hernan Badenes:
VeilMe: An Interactive Visualization Tool for Privacy Configuration of Using Personality Traits. CHI 2015: 817-826 - [c21]Liang Gou, Gengxin Zhang, Zhen Pang, Yuan Zhang:
Multihop relay transmission in InterPlaNetary Internet based on fountain codes. WCSP 2015: 1-6 - 2014
- [c20]Liang Gou, Michelle X. Zhou, Huahai Yang:
KnowMe and ShareMe: understanding automatically discovered personality traits from social media and user sharing preferences. CHI 2014: 955-964 - [c19]Jian Zhao, Liang Gou, Fei Wang, Michelle X. Zhou:
PEARL: An interactive visual analytic tool for understanding personal emotion style derived from social media. IEEE VAST 2014: 203-212 - [c18]Hernan Badenes, Mateo N. Bengualid, Jilin Chen, Liang Gou, Eben M. Haber, Jalal Mahmud, Jeffrey W. Nichols, Aditya Pal, Jerald Schoudt, Barton A. Smith, Ying Xuan, Huahai Yang, Michelle X. Zhou:
System U: automatically deriving personality traits from social media for people recommendation. RecSys 2014: 373-374 - 2013
- [j2]Shaodong Feng, Fan Wang, Yuan Lin, Liang Gou, Guangxia Li:
An Asynchronous Burst Time Plan Generation Method for Broadband Satellite Multimedia System. KSII Trans. Internet Inf. Syst. 7(2): 386-404 (2013) - [c17]Chris Muelder, Liang Gou, Kwan-Liu Ma, Michelle X. Zhou:
Multivariate Social Network Visual Analytics. Multivariate Network Visualization 2013: 37-59 - [c16]Hung-Hsuan Chen, Liang Gou, Xiaolong (Luke) Zhang, C. Lee Giles:
Towards the Discovery of Diseases Related by Genes Using Vertex Similarity Measures. ICHI 2013: 505-510 - [c15]Michelle X. Zhou, Fei Wang, Thomas Zimmerman, Huahai Yang, Eben M. Haber, Liang Gou:
Computational discovery of personal traits from social multimedia. ICME Workshops 2013: 1-6 - [c14]Mengdie Hu, Huahai Yang, Michelle X. Zhou, Liang Gou, Yunyao Li, Eben M. Haber:
OpinionBlocks: A Crowd-Powered, Self-improving Interactive Visual Analytic System for Understanding Opinion Text. INTERACT (2) 2013: 116-134 - [c13]Liang Gou, Jalal Mahmud, Eben M. Haber, Michelle X. Zhou:
PersonalityViz: a visualization tool to analyze people's personality with social media. IUI Companion 2013: 45-46 - 2012
- [c12]Liang Gou, Xiaolong (Luke) Zhang, Airong Luo, Patricia F. Anderson:
SocialNetSense: Supporting sensemaking of social and structural features in networks with interactive visualization. IEEE VAST 2012: 133-142 - [c11]Hung-Hsuan Chen, Liang Gou, Xiaolong (Luke) Zhang, C. Lee Giles:
Discovering missing links in networks using vertex similarity measures. SAC 2012: 138-143 - [c10]Hung-Hsuan Chen, Liang Gou, Xiaolong (Luke) Zhang, C. Lee Giles:
Predicting Recent Links in FOAF Networks. SBP 2012: 156-163 - 2011
- [j1]Liang Gou, Xiaolong (Luke) Zhang:
TreeNetViz: Revealing Patterns of Networks over Tree Structures. IEEE Trans. Vis. Comput. Graph. 17(12): 2449-2458 (2011) - [c9]Elizabeth M. Daly, Michael J. Muller, Liang Gou, David R. Millen:
Social Lens: Personalization Around User Defined Collections for Filtering Enterprise Message Streams. ICWSM 2011 - [c8]Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, Clyde Lee Giles:
CollabSeer: a search engine for collaboration discovery. JCDL 2011: 231-240 - [c7]Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, Clyde Lee Giles:
Capturing missing edges in social networks using vertex similarity. K-CAP 2011: 195-196 - [c6]Liang Gou, Fang You, Jun Guo, Luqi Wu, Xiaolong (Luke) Zhang:
SFViz: interest-based friends exploration and recommendation in social networks. VINCI 2011: 15 - 2010
- [c5]Liang Gou, Xiaolong Zhang, Hung-Hsuan Chen, Jung-Hyun Kim, C. Lee Giles:
Social network document ranking. JCDL 2010: 313-322 - [c4]Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolong Zhang, C. Lee Giles:
SNDocRank: a social network-based video search ranking framework. Multimedia Information Retrieval 2010: 367-376 - [c3]Liang Gou, Shaoke Zhang, Jing Wang, Xiaolong (Luke) Zhang:
TagNetLens: multiscale visualization of knowledge structures in social tags. VINCI 2010: 18 - [c2]Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolong Zhang, C. Lee Giles:
SNDocRank: document ranking based on social networks. WWW 2010: 1103-1104
2000 – 2009
- 2009
- [c1]Liang Gou, Jung-Hyun Kim, Hung-Hsuan Chen, Jason Collins, Marc Goodman, Xiaolong Zhang, C. Lee Giles:
MobiSNA: a mobile video social network application. MobiDE 2009: 53-56
Coauthor Index
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