Liang Gou

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 49

Top Topics

Visual Analytics

Semantic Segmentation

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

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)
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 (2024)
Siming Chen, Liang Gou, Michael Kamp, Dong Sun
Visual Computing for Autonomous Driving. IEEE Computer Graphics and Applications 44 (3) (2024)
Jinbin Huang, Wenbin He, Liang Gou, Liu Ren, Chris Bryan
InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
Jiajing Guo, Vikram Mohanty, Hongtao Hao, Liang Gou, Liu Ren
Can LLMs Infer Domain Knowledge from Code Exemplars? A Preliminary Study. IUI Companion (2024)
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) (2024)
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)
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)
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) (2023)
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) (2023)
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)
Wenbin He, Suphanut Jamonnak, Liang Gou, Liu Ren
: Language-Guided Self-Supervised Semantic Segmentation. CoRR (2023)
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 (2023)
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) (2023)
Jinbin Huang, Wenbin He, Liang Gou, Liu Ren, Chris Bryan
InterVLS: Interactive Model Understanding and Improvement with Vision-Language Surrogates. CoRR (2023)
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)
Wenbin He, Suphanut Jamonnak, Liang Gou, Liu Ren
CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation. CVPR (2023)
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 (2023)
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 (2023)
Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren
Self-supervised Semantic Segmentation Grounded in Visual Concepts. CoRR (2022)
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) (2022)
Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren
Novelty-based Generalization Evaluation for Traffic Light Detection. CoRR (2022)
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)
Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren
Self-supervised Semantic Segmentation Grounded in Visual Concepts. IJCAI (2022)
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) (2021)
Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren
Novelty-based Generalization Evaluation for Traffic Light Detection. ICMLA (2021)
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) (2021)
Claudia Plant, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Junming Shao
VDS'21: Visualization in Data Science. KDD (2021)
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 (2020)
Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang
DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks. WSDM (2020)
Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang
Towards a Flexible Embedding Learning Framework. CoRR (2020)
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 (2020)
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) (2020)
Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang
Towards a Flexible Embedding Learning Framework. ICDM (Workshops) (2020)
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) (2019)
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) (2019)
Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang
Dynamic Graph Representation Learning via Self-Attention Networks. CoRR (2018)
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) (2018)
Bin Xu, Liang Gou, Anbang Xu, Jalal Mahmud, Dan Cosley
Raising Awareness of Conveyed Personality In Social Media Traces. CoRR (2017)
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) (2016)
Bin Xu, Liang Gou, Anbang Xu, Dan Cosley, Jalal Mahmud
InsightMe: Raising Awareness of Conveyed Personality in Social Media Traces. ICWSM (2016)
Liang Gou, Gengxin Zhang, Wei Zhang, Dongming Bian
Cluster-based architecture and network model for InterPlaNetary Internet. J. Commun. Inf. Networks 1 (3) (2016)
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)
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)
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)
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) (2016)
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)
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) (2015)
Liang Gou, Gengxin Zhang, Zhen Pang, Yuan Zhang
Multihop relay transmission in InterPlaNetary Internet based on fountain codes. WCSP (2015)
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 (2015)
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)
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)
Liang Gou, Michelle X. Zhou, Huahai Yang
KnowMe and ShareMe: understanding automatically discovered personality traits from social media and user sharing preferences. CHI (2014)
Chris Muelder, Liang Gou, Kwan-Liu Ma, Michelle X. Zhou
Multivariate Social Network Visual Analytics. Multivariate Network Visualization (2013)
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)
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)
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) (2013)
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)
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)
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)
Hung-Hsuan Chen, Liang Gou, Xiaolong (Luke) Zhang, C. Lee Giles
Discovering missing links in networks using vertex similarity measures. SAC (2012)
Hung-Hsuan Chen, Liang Gou, Xiaolong (Luke) Zhang, C. Lee Giles
Predicting Recent Links in FOAF Networks. SBP (2012)
Liang Gou, Xiaolong (Luke) Zhang
TreeNetViz: Revealing Patterns of Networks over Tree Structures. IEEE Trans. Vis. Comput. Graph. 17 (12) (2011)
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)
Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, Clyde Lee Giles
CollabSeer: a search engine for collaboration discovery. JCDL (2011)
Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, Clyde Lee Giles
Capturing missing edges in social networks using vertex similarity. K-CAP (2011)
Liang Gou, Fang You, Jun Guo, Luqi Wu, Xiaolong (Luke) Zhang
SFViz: interest-based friends exploration and recommendation in social networks. VINCI (2011)
Liang Gou, Shaoke Zhang, Jing Wang, Xiaolong (Luke) Zhang
TagNetLens: multiscale visualization of knowledge structures in social tags. VINCI (2010)
Liang Gou, Xiaolong Zhang, Hung-Hsuan Chen, Jung-Hyun Kim, C. Lee Giles
Social network document ranking. JCDL (2010)
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)
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolong Zhang, C. Lee Giles
SNDocRank: document ranking based on social networks. WWW (2010)
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)