Liang Gou

83 papers A* 11A 6B 1C 3Misc 1Journal 41Unranked 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
AttributionScanner: A Visual Analytics System for Model Validation With Metadata-Free Slice Finding.
IEEE Trans. Vis. Comput. Graph.
Xiwei Xuan, Jorge Piazentin Ono, Liang Gou, Kwan-Liu Ma, Liu Ren
2025 — conf
Centralized Multipath Robust Routing Algorithm for GEO/LEO Satellite Networks.
CNML
Qunjun Xie, Yulin Shi, Liang Gou
2025 J jnl
Cisco Time Series Model Technical Report.
CoRR
Liang Gou, Archit Khare, Praneet Pabolu, Prachi Patel, Joseph Ross, Hercy Shen, Yuhan Song, Jingze Sun, Kristal Curtis, Vedant Dharnidharka, Abhinav Mathur, Hao Yang
2025 J jnl
VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis.
CoRR
Xinyuan Yan, Xiwei Xuan, Jorge Piazentin Ono, Jiajing Guo, Vikram Mohanty, Arvind Kumar Shekar, Liang Gou, Bei Wang, Liu Ren
2025 J jnl
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels.
CoRR
Xiwei Xuan, Xiaoqi Wang, Wenbin He, Jorge Piazentin Ono, Liang Gou, Kwan-Liu Ma, Liu Ren
2025 J jnl
VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels.
IEEE Trans. Vis. Comput. Graph.
Xiwei Xuan, Xiaoqi Wang, Wenbin He, Jorge Piazentin Ono, Liang Gou, Kwan-Liu Ma, Liu Ren
2024 J jnl
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets.
CoRR
Thang Doan, Sima Behpour, Xin Li, Wenbin He, Liang Gou, Liu Ren
2024 J jnl
AttributionScanner: A Visual Analytics System for Metadata-Free Data-Slicing Based Model Validation.
CoRR
Xiwei Xuan, Jorge Piazentin Ono, Liang Gou, Kwan-Liu Ma, Liu Ren
2024 — conf
Can LLMs Infer Domain Knowledge from Code Exemplars? A Preliminary Study.
IUI Companion
Jiajing Guo, Vikram Mohanty, Hongtao Hao, Liang Gou, Liu Ren
2024 A* conf
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection.
AAAI
Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren
2024 J jnl
InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation.
CoRR
Jinbin Huang, Wenbin He, Liang Gou, Liu Ren, Chris Bryan
2024 — conf
Investigating Interaction Modes and User Agency in Human-LLM Collaboration for Domain-Specific Data Analysis.
CHI Extended Abstracts
Jiajing Guo, Vikram Mohanty, Jorge Henrique Piazentin Ono, Hongtao Hao, Liang Gou, Liu Ren
2024 J jnl
Investigating Interaction Modes and User Agency in Human-LLM Collaboration for Domain-Specific Data Analysis.
CoRR
Jiajing Guo, Vikram Mohanty, Jorge Piazentin Ono, Hongtao Hao, Liang Gou, Liu Ren
2024 J jnl
MAG-V: A Multi-Agent Framework for Synthetic Data Generation and Verification.
CoRR
Saptarshi Sengupta, Kristal Curtis, Akshay Mallipeddi, Abhinav Mathur, Joseph Ross, Liang Gou
2024 — conf
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks.
ECCV (78)
Sanbao Su, Xin Li, Thang Long Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, Liu Ren
2024 J jnl
OW-Adapter: Human-Assisted Open-World Object Detection with a Few Examples.
IEEE Trans. Vis. Comput. Graph.
Suphanut Jamonnak, Jiajing Guo, Wenbin He, Liang Gou, Liu Ren
2024 A conf
Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer.
IUI
Xiaoyu Zhang, Jorge Henrique Piazentin Ono, Wenbin He, Liang Gou, Mrinmaya Sachan, Kwan-Liu Ma, Liu Ren
2024 A* conf
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation.
CVPR
Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren
2024 J jnl
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation.
CoRR
Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren
2024 J jnl
Visual Computing for Autonomous Driving.
IEEE Computer Graphics and Applications
Siming Chen, Liang Gou, Michael Kamp, Dong Sun
2023 J jnl
CLIP-S
CoRR
Wenbin He, Suphanut Jamonnak, Liang Gou, Liu Ren
2023 A* conf
CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation.
CVPR
Wenbin He, Suphanut Jamonnak, Liang Gou, Liu Ren
2023 A* conf
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients.
NeurIPS
Sima Behpour, Thang Long Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren
2023 J jnl
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients.
CoRR
Sima Behpour, Thang Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren
2023 J jnl
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection.
CoRR
Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren
2023 J jnl
Improved Spread Spectrum Aloha Protocol and Beam-Hopping Approach for Return Channel in Satellite Internet of Things.
Sensors
Liang Gou, Dongming Bian, Baogui Dong, Yulei Nie
2023 J jnl
SliceTeller: A Data Slice-Driven Approach for Machine Learning Model Validation.
IEEE Trans. Vis. Comput. Graph.
Xiaoyu Zhang, Jorge Piazentin Ono, Huan Song, Liang Gou, Kwan-Liu Ma, Liu Ren
2023 A* conf
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models.
NeurIPS
Xin Li, Sima Behpour, Thang Long Doan, Wenbin He, Liang Gou, Liu Ren
2023 J jnl
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models.
CoRR
Xin Li, Sima Behpour, Thang Doan, Wenbin He, Liang Gou, Liu Ren
2023 J jnl
Visual Concept Programming: A Visual Analytics Approach to Injecting Human Intelligence at Scale.
IEEE Trans. Vis. Comput. Graph.
Md. Naimul Hoque, Wenbin He, Arvind Kumar Shekar, Liang Gou, Liu Ren
2022 J jnl
Novelty-based Generalization Evaluation for Traffic Light Detection.
CoRR
Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren
2022 A* conf
Self-supervised Semantic Segmentation Grounded in Visual Concepts.
IJCAI
Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren
2022 J jnl
Self-supervised Semantic Segmentation Grounded in Visual Concepts.
CoRR
Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren
2022 A* conf
Visualization in Data Science VDS @ KDD 2022.
KDD
Claudia Plant, Nina C. Hubig, Junming Shao, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Anamaria Crisan
2022 J jnl
Where Can We Help? A Visual Analytics Approach to Diagnosing and Improving Semantic Segmentation of Movable Objects.
IEEE Trans. Vis. Comput. Graph.
Wenbin He, Lincan Zou, Arvind Kumar Shekar, Liang Gou, Liu Ren
2021 J jnl
Label-Free Robustness Estimation of Object Detection CNNs for Autonomous Driving Applications.
Int. J. Comput. Vis.
Arvind Kumar Shekar, Liang Gou, Liu Ren, Axel Wendt
2021 C conf
Novelty-based Generalization Evaluation for Traffic Light Detection.
ICMLA
Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren
2021 J jnl
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection.
IEEE Trans. Vis. Comput. Graph.
Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren
2021 A* conf
VDS'21: Visualization in Data Science.
KDD
Claudia Plant, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Junming Shao
2020 A conf
DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks.
WSDM
Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang
2020 J jnl
Energy-Efficient Cooperative Spectrum Sensing in Cognitive Satellite Terrestrial Networks.
IEEE Access
Jing Hu, Guangxia Li, Dongming Bian, Shengchao Shi, Ruixing Ge, Liang Gou
2020 J jnl
Optimal Power Control for Cognitive LEO Constellation With Terrestrial Networks.
IEEE Commun. Lett.
Jing Hu, Guangxia Li, Dongming Bian, Liang Gou, Chuang Wang
2020 — conf
Towards a Flexible Embedding Learning Framework.
ICDM (Workshops)
Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang
2020 J jnl
Towards a Flexible Embedding Learning Framework.
CoRR
Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang
2020 J jnl
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection.
CoRR
Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren
2019 J jnl
DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks.
IEEE Trans. Vis. Comput. Graph.
Junpeng Wang, Liang Gou, Han-Wei Shen, Hao Yang
2019 J jnl
DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation.
IEEE Trans. Vis. Comput. Graph.
Junpeng Wang, Liang Gou, Wei Zhang, Hao Yang, Han-Wei Shen
2018 J jnl
Dynamic Graph Representation Learning via Self-Attention Networks.
CoRR
Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang
2018 J jnl
GANViz: A Visual Analytics Approach to Understand the Adversarial Game.
IEEE Trans. Vis. Comput. Graph.
Junpeng Wang, Liang Gou, Hao Yang, Han-Wei Shen
2017 J jnl
Raising Awareness of Conveyed Personality In Social Media Traces.
CoRR
Bin Xu, Liang Gou, Anbang Xu, Jalal Mahmud, Dan Cosley
2016 J jnl
Cluster-based architecture and network model for InterPlaNetary Internet.
J. Commun. Inf. Networks
Liang Gou, Gengxin Zhang, Wei Zhang, Dongming Bian
2016 J jnl
Data dissemination in wireless sensor networks with instantly decodable network coding.
J. Commun. Networks
Liang Gou, Gengxin Zhang, Dongming Bian, Wei Zhang, Zhidong Xie
2016 A conf
InsightMe: Raising Awareness of Conveyed Personality in Social Media Traces.
ICWSM
Bin Xu, Liang Gou, Anbang Xu, Dan Cosley, Jalal Mahmud
2016 J jnl
Minimizing Completion Time for Relay-Assisted Multicast With Instantly Decodable Network Coding.
IEEE Commun. Lett.
Liang Gou, Gengxin Zhang, Zhengguo Bian, Dongming Bian, Zhidong Xie
2016 A conf
Predicting Perceived Brand Personality with Social Media.
ICWSM
Anbang Xu, Haibin Liu, Liang Gou, Rama Akkiraju, Jalal Mahmud, Vibha Sinha, Yuheng Hu, Mu Qiao
2016 — conf
ScopeG: A Mobile Application for Exploration and Comparison of Personality Traits.
IUI Companion
Robert Deloatch, Liang Gou, Chris Kau, Jalal Mahmud, Michelle X. Zhou
2016 — conf
SocialBrands: Visual analysis of public perceptions of brands on social media.
VAST
Xiaotong Liu, Anbang Xu, Liang Gou, Haibin Liu, Rama Akkiraju, Han-Wei Shen
2015 J jnl
A Hierarchical Autonomous System Based Topology Control Algorithm in Space Information Network.
KSII Trans. Internet Inf. Syst.
Wei Zhang, Gengxin Zhang, Liang Gou, Bo Kong, Dongming Bian
2015 J jnl
Delay Minimization Topology Control in Planetary Surface Network: An Autonomous Systems Approach.
Int. J. Distributed Sens. Networks
Wei Zhang, Gengxin Zhang, Liang Gou, Bo Kong, Dongming Bian
2015 — conf
Multihop relay transmission in InterPlaNetary Internet based on fountain codes.
WCSP
Liang Gou, Gengxin Zhang, Zhen Pang, Yuan Zhang
2015 A* conf
VeilMe: An Interactive Visualization Tool for Privacy Configuration of Using Personality Traits.
CHI
Yang Wang, Liang Gou, Anbang Xu, Michelle X. Zhou, Huahai Yang, Hernan Badenes
2014 A* conf
KnowMe and ShareMe: understanding automatically discovered personality traits from social media and user sharing preferences.
CHI
Liang Gou, Michelle X. Zhou, Huahai Yang
2014 — conf
PEARL: An interactive visual analytic tool for understanding personal emotion style derived from social media.
IEEE VAST
Jian Zhao, Liang Gou, Fei Wang, Michelle X. Zhou
2014 A conf
System U: automatically deriving personality traits from social media for people recommendation.
RecSys
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
2013 J jnl
An Asynchronous Burst Time Plan Generation Method for Broadband Satellite Multimedia System.
KSII Trans. Internet Inf. Syst.
Shaodong Feng, Fan Wang, Yuan Lin, Liang Gou, Guangxia Li
2013 — conf
Computational discovery of personal traits from social multimedia.
ICME Workshops
Michelle X. Zhou, Fei Wang, Thomas Zimmerman, Huahai Yang, Eben M. Haber, Liang Gou
2013 — conf
Multivariate Social Network Visual Analytics.
Multivariate Network Visualization
Chris Muelder, Liang Gou, Kwan-Liu Ma, Michelle X. Zhou
2013 — conf
OpinionBlocks: A Crowd-Powered, Self-improving Interactive Visual Analytic System for Understanding Opinion Text.
INTERACT (2)
Mengdie Hu, Huahai Yang, Michelle X. Zhou, Liang Gou, Yunyao Li, Eben M. Haber
2013 — conf
PersonalityViz: a visualization tool to analyze people's personality with social media.
IUI Companion
Liang Gou, Jalal Mahmud, Eben M. Haber, Michelle X. Zhou
2013 — conf
Towards the Discovery of Diseases Related by Genes Using Vertex Similarity Measures.
ICHI
Hung-Hsuan Chen, Liang Gou, Xiaolong (Luke) Zhang, C. Lee Giles
2012 Misc conf
Discovering missing links in networks using vertex similarity measures.
SAC
Hung-Hsuan Chen, Liang Gou, Xiaolong (Luke) Zhang, C. Lee Giles
2012 — conf
Predicting Recent Links in FOAF Networks.
SBP
Hung-Hsuan Chen, Liang Gou, Xiaolong (Luke) Zhang, C. Lee Giles
2012 — conf
SocialNetSense: Supporting sensemaking of social and structural features in networks with interactive visualization.
IEEE VAST
Liang Gou, Xiaolong (Luke) Zhang, Airong Luo, Patricia F. Anderson
2011 B conf
Capturing missing edges in social networks using vertex similarity.
K-CAP
Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, Clyde Lee Giles
2011 — conf
CollabSeer: a search engine for collaboration discovery.
JCDL
Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, Clyde Lee Giles
2011 C conf
SFViz: interest-based friends exploration and recommendation in social networks.
VINCI
Liang Gou, Fang You, Jun Guo, Luqi Wu, Xiaolong (Luke) Zhang
2011 A conf
Social Lens: Personalization Around User Defined Collections for Filtering Enterprise Message Streams.
ICWSM
Elizabeth M. Daly, Michael J. Muller, Liang Gou, David R. Millen
2011 J jnl
TreeNetViz: Revealing Patterns of Networks over Tree Structures.
IEEE Trans. Vis. Comput. Graph.
Liang Gou, Xiaolong (Luke) Zhang
2010 — conf
SNDocRank: a social network-based video search ranking framework.
Multimedia Information Retrieval
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolong Zhang, C. Lee Giles
2010 A* conf
SNDocRank: document ranking based on social networks.
WWW
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolong Zhang, C. Lee Giles
2010 — conf
Social network document ranking.
JCDL
Liang Gou, Xiaolong Zhang, Hung-Hsuan Chen, Jung-Hyun Kim, C. Lee Giles
2010 C conf
TagNetLens: multiscale visualization of knowledge structures in social tags.
VINCI
Liang Gou, Shaoke Zhang, Jing Wang, Xiaolong (Luke) Zhang
2009 — conf
MobiSNA: a mobile video social network application.
MobiDE
Liang Gou, Jung-Hyun Kim, Hung-Hsuan Chen, Jason Collins, Marc Goodman, Xiaolong Zhang, C. Lee Giles