Duen Horng Chau

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 192

Top Venues

CoRR

CHI Extended Abstracts

IEEE BigData

CIKM

Publications

Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, Shengyun Peng, Mansi Phute, Duen Horng Chau, Minsuk Kahng
LLM Attributor: Interactive Visual Attribution for LLM Generation. CoRR (2024)
Justin Blalock, David Munechika, Harsha Karanth, Alec Helbling, Pratham Darrpan Mehta, Seongmin Lee, Duen Horng Chau
Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models. CoRR (2024)
Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau
UniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining. CoRR (2024)
Mansi Phute, Alec Helbling, Matthew Hull, Shengyun Peng, Sebastian Szyller, Cory Cornelius, Duen Horng Chau
LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. Tiny Papers @ ICLR (2024)
Pratheeksha Nair, Javin Liu, Catalina Vajiac, Andreas M. Olligschlaeger, Duen Horng Chau, Mirela T. Cazzolato, Cara Jones, Christos Faloutsos, Reihaneh Rabbany
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking. AAAI (2024)
Matthew Hull, Vivian Pednekar, Hannah Murray, Nimisha Roy, Emmanuel Tung, Susanta Routray, Connor Guerin, Justin Chen, Zijie J. Wang, Seongmin Lee, Mahdi Roozbahani, Duen Horng Chau
VG: Automatic Grading of D3 Visualizations. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Zijie J. Wang, Duen Horng Chau
MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation. CoRR (2024)
Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau
Self-Supervised Pre-Training for Table Structure Recognition Transformer. CoRR (2024)
Austin P. Wright, Scott Davidoff, Duen Horng Chau
Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars. KDD (2024)
Zijie J. Wang, Aishwarya Chakravarthy, David Munechika, Duen Horng Chau
Wordflow: Social Prompt Engineering for Large Language Models. CoRR (2024)
Zijie J. Wang, Duen Horng Chau
MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation. SIGIR (2024)
Matthew Hull, Zijie J. Wang, Duen Horng Chau
Revamp: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes. Tiny Papers @ ICLR (2024)
Pratham Darrpan Mehta, Harsha Karanth, Haoyang Yang, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau
ARCollab: Towards Multi-User Interactive Cardiovascular Surgical Planning in Mobile Augmented Reality. CoRR (2024)
Zoe Alexander, Duen Horng Chau, Christopher Saldaña
An Interrogative Survey of Explainable AI in Manufacturing. IEEE Trans. Ind. Informatics 20 (5) (2024)
Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks. CHI Extended Abstracts (2024)
Pratham Darrpan Mehta, Harsha Karanth, Haoyang Yang, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau
ARCollab: Towards Multi-User Interactive Cardiovascular Surgical Planning in Mobile Augmented Reality. CHI Extended Abstracts (2024)
Shengyun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models. CoRR (2024)
Kevin Li, Rahul Duggal, Duen Horng Chau
Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract). AAAI (2023)
Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. CoRR (2023)
Zijie J. Wang, Fred Hohman, Duen Horng Chau
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings. ACL (demo) (2023)
Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau
High-Performance Transformers for Table Structure Recognition Need Early Convolutions. CoRR (2023)
Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks. CoRR (2023)
Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. BMVC (2023)
Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov
Energy Transformer. NeurIPS (2023)
Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau
Graph Vulnerability and Robustness: A Survey. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Zijie J. Wang, Jennifer Wortman Vaughan, Rich Caruana, Duen Horng Chau
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse. CoRR (2023)
Zijie J. Wang, Jennifer Wortman Vaughan, Rich Caruana, Duen Horng Chau
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse. CHI (2023)
Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. CoRR (2023)
Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov
Energy Transformer. CoRR (2023)
Austin P. Wright, Peter Nemere, Adrian Galvin, Duen Horng Chau, Scott Davidoff
Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework. CoRR (2023)
Zijie J. Wang, Fred Hohman, Duen Horng Chau
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings. CoRR (2023)
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM (2023)
Sheng-Yun Peng, Weilin Xu, Cory Cornelius, Kevin Li, Rahul Duggal, Duen Horng Chau, Jason Martin
RobArch: Designing Robust Architectures against Adversarial Attacks. CoRR (2023)
Austin P. Wright, Peter Nemere, Adrian Galvin, Duen Horng Chau, Scott Davidoff
Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework. IUI (2023)
Alec Helbling, Duen Horng Chau
ManimML: Communicating Machine Learning Architectures with Animation. CoRR (2023)
Alec Helbling, Mansi Phute, Matthew Hull, Duen Horng Chau
LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. CoRR (2023)
Matthew Hull, Zijie J. Wang, Duen Horng Chau
REVAMP: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes. CoRR (2023)
Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Duen Horng Chau, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. AAAI (2023)
Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. ACL (1) (2023)
Matthew Hull, Vivian Pednekar, Hannah Murray, Nimisha Roy, Emmanuel Tung, Susanta Routray, Connor Guerin, Justin Chen, Zijie J. Wang, Seongmin Lee, Mahdi Roozbahani, Duen Horng Chau
VisGrader: Automatic Grading of D3 Visualizations. CoRR (2023)
Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. CoRR (2023)
Alec Helbling, Evan Montoya, Duen Horng Chau
ObjectComposer: Consistent Generation of Multiple Objects Without Fine-tuning. CoRR (2023)
Catalina Vajiac, Duen Horng Chau, Andreas M. Olligschlaeger, Rebecca Mackenzie, Pratheeksha Nair, Meng-Chieh Lee, Yifei Li, Namyong Park, Reihaneh Rabbany, Christos Faloutsos
TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Zijie J. Wang, Duen Horng Chau
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere. WWW (Companion Volume) (2023)
Zijie J. Wang, Duen Horng Chau
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere. CoRR (2023)
Nilaksh Das, Duen Horng Chau, Monica Sunkara, Sravan Bodapati, Dhanush Bekal, Katrin Kirchhoff
Listen, Know and Spell: Knowledge-Infused Subword Modeling for Improving ASR Performance of OOV Named Entities. ICASSP (2022)
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values. CoRR (2022)
Scott Freitas, Rahul Duggal, Duen Horng Chau
MalNet: A Large-Scale Image Database of Malicious Software. CIKM (2022)
Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehqal, Ankit Peshin, Duen Horng Chau
Explaining Website Reliability by Visualizing Hyperlink Connectivity. IEEE VIS (Short Papers) (2022)
Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. ECCV Workshops (1) (2022)
David Munechika, Zijie J. Wang, Jack Reidy, Joshua Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng Chau
Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases. IEEE VIS (Short Papers) (2022)
Seongmin Lee, Judy Hoffman, Zijie J. Wang, Duen Horng Chau
VIsCUIT: Visual Auditor for Bias in CNN Image Classifier. CVPR (2022)
Ashwin Singh, Arvindh Arun, Pulak Malhotra, Pooja Desur, Ayushi Jain, Duen Horng Chau, Ponnurangam Kumaraguru
Erasing Labor with Labor: Dark Patterns and Lockstep Behaviors on Google Play. HT (2022)
Pratheeksha Nair, Yifei Li, Catalina Vajiac, Andreas M. Olligschlaeger, Meng-Chieh Lee, Namyong Park, Duen Horng Chau, Christos Faloutsos, Reihaneh Rabbany
VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking. WWW (Companion Volume) (2022)
Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. CoRR (2022)
Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization. IEEE VIS (Short Papers) (2022)
Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu
A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling. ACM J. Data Inf. Qual. 14 (3) (2022)
Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope
A Search Engine for Discovery of Scientific Challenges and Directions. AAAI (2022)
David Munechika, Zijie J. Wang, Jack Reidy, Josh Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng Chau
Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases. CoRR (2022)
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values. KDD (2022)
Seongmin Lee, Zijie J. Wang, Judy Hoffman, Duen Horng Chau
VisCUIT: Visual Auditor for Bias in CNN Image Classifier. CoRR (2022)
Haoyang Yang, Pratham Darrpan Mehta, Jonathan Leo, Zhiyan Zhou, Megan Dass, Anish Upadhayay, Timothy C. Slesnick, Fawwaz Shaw, Amanda Randles, Duen Horng Chau
Evaluating Cardiovascular Surgical Planning in Mobile Augmented Reality. CoRR (2022)
Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau
Evaluation of Argo Scholar with Observational Study. CoRR (2022)
Nilaksh Das, Duen Horng Chau
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. CoRR (2022)
Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau
MisVis: Explaining Web Misinformation Connections via Visual Summary. CHI Extended Abstracts (2022)
Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park
Context-aware Traffic Flow Forecasting in New Roads. CIKM (2022)
Ashwin Singh, Arvindh A, Ayushi Jain, Pooja Desur, Pulak Malhotra, Duen Horng Chau, Ponnurangam Kumaraguru
Erasing Labor with Labor: Dark Patterns and Lockstep Behaviors on the Google Play Store. CoRR (2022)
Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau
Visual Exploration of Literature with Argo Scholar. CIKM (2022)
Rahul Duggal, Shengyun Peng, Hao Zhou, Duen Horng Chau
IMB-NAS: Neural Architecture Search for Imbalanced Datasets. CoRR (2022)
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR (2022)
Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau
NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics. CoRR (2022)
Zhiyan Zhou, Kevin Li, Haekyu Park, Megan Dass, Austin P. Wright, Nilaksh Das, Duen Horng Chau
NeuroMapper: In-browser Visualizer for Neural Network Training. CoRR (2022)
Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. CoRR (2022)
Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau
Explaining Website Reliability by Visualizing Hyperlink Connectivity. CoRR (2022)
Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization. CoRR (2022)
Austin P. Wright, Caleb Ziems, Haekyu Park, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang, Maria Tomprou
Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes. CoRR (2021)
Zijie J. Wang, Robert Turko, Duen Horng Chau
Dodrio: Exploring Transformer Models with Interactive Visualization. ACL (demo) (2021)
Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Rita Borgo, Duen Horng Chau, Alex Endert, Daniel A. Keim
A Survey of Human-Centered Evaluations in Human-Centered Machine Learning. Comput. Graph. Forum 40 (3) (2021)
Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope
A Search Engine for Discovery of Biomedical Challenges and Directions. CoRR (2021)
Jonathan Leo, Zhiyan Zhou, Haoyang Yang, Megan Dass, Anish Upadhayay, Timothy C. Slesnick, Fawwaz Shaw, Duen Horng Chau
Interactive Cardiovascular Surgical Planning via Augmented Reality. AsianCHI@CHI (2021)
Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. CoRR (2021)
Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau
Evaluating Graph Vulnerability and Robustness using TIGER. CIKM (2021)
Zijie J. Wang, Robert Turko, Duen Horng Chau
Dodrio: Exploring Transformer Models with Interactive Visualization. CoRR (2021)
Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun
CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData (2021)
Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. CoRR (2021)
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
GAM Changer: Editing Generalized Additive Models with Interactive Visualization. CoRR (2021)
Nilaksh Das, Sravan Bodapati, Monica Sunkara, Sundararajan Srinivasan, Duen Horng Chau
Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning. Interspeech (2021)
Emma Beauxis-Aussalet, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David S. Ebert, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Jörn Kohlhammer, Daniela Oelke, Jaakko Peltonen, Maria Riveiro, Tobias Schreck, Hendrik Strobelt, Jarke J. van Wijk, Theresa-Marie Rhyne
The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications 41 (6) (2021)
Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau
Graph Vulnerability and Robustness: A Survey. CoRR (2021)
Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, Diyi Yang
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. CoRR (2021)
Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. CoRR (2021)
Austin P. Wright, Christopher M. Jones, Duen Horng Chau, R. Matthew Gladden, Steven A. Sumner
Detection of emerging drugs involved in overdose via diachronic word embeddings of substances discussed on social media. J. Biomed. Informatics 119 (2021)
Kevin Li, Haoyang Yang, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau
Argo Scholar: Interactive Visual Exploration of Literature in Browsers. CoRR (2021)
Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. CHI Extended Abstracts (2021)
Scott Freitas, Rahul Duggal, Duen Horng Chau
MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software. CoRR (2021)
Mizanur Rahman, Nestor Hernandez, Bogdan Carbunar, Duen Horng Chau
Towards De-Anonymization of Google Play Search Rank Fraud. IEEE Trans. Knowl. Data Eng. 33 (11) (2021)
Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau
A Large-Scale Database for Graph Representation Learning. NeurIPS Datasets and Benchmarks (2021)
Matthew Hull, Connor Guerin, Justin Chen, Susanta Routray, Duen Horng Chau
Towards Automatic Grading of D3.js Visualizations. CoRR (2021)
Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. AAAI (2021)
Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun
HAR: Hardness Aware Reweighting for Imbalanced Datasets. IEEE BigData (2021)

Duen Horng Chau.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Duen Horng Chau