Chao, Wei-Lun

65 publications

NeurIPS 2025 A Closer Look at TabPFN V2: Understanding Its Strengths and Extending Its Capabilities Han-Jia Ye, Si-Yang Liu, Wei-Lun Chao
NeurIPS 2025 BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning Jianyang Gu, Samuel Stevens, Elizabeth G Campolongo, Matthew J Thompson, Net Zhang, Jiaman Wu, Andrei Kopanev, Zheda Mai, Alexander E. White, James Balhoff, Wasila Dahdul, Daniel Rubenstein, Hilmar Lapp, Tanya Berger-Wolf, Wei-Lun Chao, Yu Su
CVPR 2025 Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation Ziheng Zhang, Jianyang Gu, Arpita Chowdhury, Zheda Mai, David Carlyn, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao
CVPR 2025 Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images Kazi Sajeed Mehrab, M. Maruf, Arka Daw, Abhilash Neog, Harish Babu Manogaran, Mridul Khurana, Zhenyang Feng, Bahadir Altintas, Yasin Bakis, Elizabeth G Campolongo, Matthew J Thompson, Xiaojun Wang, Hilmar Lapp, Tanya Berger-Wolf, Paula Mabee, Henry Bart, Wei-Lun Chao, Wasila M Dahdul, Anuj Karpatne
ICLR 2025 Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning Amin Karimi Monsefi, Mengxi Zhou, Nastaran Karimi Monsefi, Ser-Nam Lim, Wei-Lun Chao, Rajiv Ramnath
ICLR 2025 Learning 3D Perception from Others' Predictions Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan, Yihong Sun, Cheng Perng Phoo, Xiangyu Chen, Mark Campbell, Kilian Q Weinberger, Bharath Hariharan, Wei-Lun Chao
CVPR 2025 Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Quang-Huy Nguyen, Li Zhang, Wei-Lun Chao
ICCV 2025 Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration Katie Z Luo, Minh-Quan Dao, Zhenzhen Liu, Mark Campbell, Wei-Lun Chao, Kilian Q Weinberger, Ezio Malis, Vincent Fremont, Bharath Hariharan, Mao Shan, Stewart Worrall, Julie Stephany Berrio Perez
CVPR 2025 Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis Arpita Chowdhury, Dipanjyoti Paul, Zheda Mai, Jianyang Gu, Ziheng Zhang, Kazi Sajeed Mehrab, Elizabeth G. Campolongo, Daniel Rubenstein, Charles V. Stewart, Anuj Karpatne, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao
ICLR 2025 Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan, Wei-Lun Chao
NeurIPS 2025 Revisiting Semi-Supervised Learning in the Era of Foundation Models Ping Zhang, Zheda Mai, Quang-Huy Nguyen, Wei-Lun Chao
ICCV 2025 TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation Amin Karimi Monsefi, Mridul Khurana, Rajiv Ramnath, Anuj Karpatne, Wei-Lun Chao, Cheng Zhang
CVPR 2025 Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Tai-Yu Pan, Sooyoung Jeon, Mengdi Fan, Jinsu Yoo, Zhenyang Feng, Mark Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
ICLR 2025 What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits Harish Babu Manogaran, M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Caleb Patrick Charpentier, Josef Uyeda, Wasila M Dahdul, Matthew J Thompson, Elizabeth G Campolongo, Kaiya L Provost, Wei-Lun Chao, Tanya Berger-Wolf, Paula Mabee, Hilmar Lapp, Anuj Karpatne
ICLR 2024 A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Edward Carlyn, Samuel Stevens, Kaiya L Provost, Anuj Karpatne, Bryan Carstens, Daniel Rubenstein, Charles Stewart, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao
CVPR 2024 BioCLIP: A Vision Foundation Model for the Tree of Life Samuel Stevens, Jiaman Wu, Matthew J Thompson, Elizabeth G Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M Dahdul, Charles Stewart, Tanya Berger-Wolf, Wei-Lun Chao, Yu Su
NeurIPS 2024 DiffuBox: Refining 3D Object Detection with Point Diffusion Xiangyu Chen, Zhenzhen Liu, Katie Z Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark Campbell, Bharath Hariharan, Kilian Q. Weinberger
CVPR 2024 Dual-View Visual Contextualization for Web Navigation Jihyung Kil, Chan Hee Song, Boyuan Zheng, Xiang Deng, Yu Su, Wei-Lun Chao
NeurIPS 2024 FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao
NeurIPS 2024 Fine-Tuning Is Fine, if Calibrated Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao
ECCV 2024 Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution Mridul Khurana, Arka Daw, M. Maruf, Josef C. Uyeda, Wasila Dahdul, Caleb Charpentier, Yasin Bakış, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Wei-Lun Chao, Charles Stewart, Tanya Berger-Wolf, Anuj Karpatne
TMLR 2024 Jigsaw Game: Federated Clustering Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang
NeurIPS 2024 MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs Jihyung Kil, Zheda Mai, Justin Lee, Arpita Chowdhury, Zihe Wang, Kerrie Cheng, Lemeng Wang, Ye Liu, Wei-Lun Chao
ICLR 2024 Pre-Training LiDAR-Based 3D Object Detectors Through Colorization Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z Luo, Yurong You, Mark Campbell, Kilian Q Weinberger, Bharath Hariharan, Wei-Lun Chao
NeurIPS 2024 VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Harish Babu Manogaran, Abhilash Neog, Medha Sawhney, Mridul Khurana, James P. Balhoff, Yasin Bakış, Bahadir Altintas, Matthew J Thompson, Elizabeth G Campolongo, Josef C. Uyeda, Hilmar Lapp, Henry L. Bart Jr., Paula M. Mabee, Yu Su, Wei-Lun Chao, Charles Stewart, Tanya Berger-Wolf, Wasila Dahdul, Anuj Karpatne
NeurIPS 2023 Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao
ICCV 2023 LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M Sadler, Wei-Lun Chao, Yu Su
AAAI 2023 Learning Fractals by Gradient Descent Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
NeurIPSW 2023 Making Batch Normalization Great in Federated Deep Learning Jike Zhong, Hong-You Chen, Wei-Lun Chao
ICLR 2023 On the Importance and Applicability of Pre-Training for Federated Learning Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han Wei Shen, Wei-Lun Chao
ICCV 2023 PreSTU: Pre-Training for Scene-Text Understanding Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut
NeurIPSW 2023 Segment Anything Model (SAM) Enhances Pseudo-Labels for Weakly Supervised Semantic Segmentation Tianle Chen, Zheda Mai, Ruiwen Li, Wei-Lun Chao
CVPR 2023 Towards Open-World Segmentation of Parts Tai-Yu Pan, Qing Liu, Wei-Lun Chao, Brian Price
CVPR 2023 Train-Once-for-All Personalization Hong-You Chen, Yandong Li, Yin Cui, Mingda Zhang, Wei-Lun Chao, Li Zhang
ICCV 2023 Unified Out-of-Distribution Detection: A Model-Specific Perspective Reza Averly, Wei-Lun Chao
ICCVW 2023 Unsupervised Domain Adaptation for Self-Driving from past Traversal Features Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
CVPR 2023 Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao
ICLR 2022 Hindsight Is 20/20: Leveraging past Traversals to Aid 3D Perception Yurong You, Katie Z Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Q Weinberger
ICLR 2022 How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye, Wei-Lun Chao
CVPR 2022 Ithaca365: Dataset and Driving Perception Under Repeated and Challenging Weather Conditions Carlos A. Diaz-Ruiz, Youya Xia, Yurong You, Jose Nino, Junan Chen, Josephine Monica, Xiangyu Chen, Katie Luo, Yan Wang, Marc Emond, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell
CVPR 2022 Learning to Detect Mobile Objects from LiDAR Scans Without Labels Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
ECCV 2022 Learning with Free Object Segments for Long-Tailed Instance Segmentation Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao
ICLR 2022 On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen, Wei-Lun Chao
CVPR 2022 One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su
NeurIPSW 2022 Understanding Federated Learning Through Loss Landscape Visualizations: A Pilot Study Ziwei Li, Hong-You Chen, Han Wei Shen, Wei-Lun Chao
NeurIPS 2022 Unsupervised Adaptation from Repeated Traversals for Autonomous Driving Yurong You, Cheng Perng Phoo, Katie Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
ICCV 2021 Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim
ICLR 2021 FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen, Wei-Lun Chao
NeurIPS 2021 Gradual Domain Adaptation Without Indexed Intermediate Domains Hong-You Chen, Wei-Lun Chao
ICCV 2021 MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao
NeurIPS 2021 On Model Calibration for Long-Tailed Object Detection and Instance Segmentation Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao
ICCV 2021 Procrustean Training for Imbalanced Deep Learning Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao
ICLR 2020 Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
WACV 2020 Visual Question Answering on 360deg Images Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, Ming-Hsuan Yang
NeurIPS 2020 Wasserstein Distances for Stereo Disparity Estimation Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
ICMLW 2019 A Meta Understanding of Meta-Learning Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark Campbell, Kilian Q. Weinberger
NeurIPS 2019 A New Defense Against Adversarial Images: Turning a Weakness into a Strength Shengyuan Hu, Tao Yu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger
ICCV 2017 Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning Soravit Changpinyo, Wei-Lun Chao, Fei Sha
ECCV 2016 An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild Wei-Lun Chao, Soravit Changpinyo, Boqing Gong, Fei Sha
CVPR 2016 Summary Transfer: Exemplar-Based Subset Selection for Video Summarization Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman
CVPR 2016 Synthesized Classifiers for Zero-Shot Learning Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha
ECCV 2016 Video Summarization with Long Short-Term Memory Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman
ICML 2015 Exponential Integration for Hamiltonian Monte Carlo Wei-Lun Chao, Justin Solomon, Dominik Michels, Fei Sha
UAI 2015 Large-Margin Determinantal Point Processes Wei-Lun Chao, Boqing Gong, Kristen Grauman, Fei Sha
NeurIPS 2014 Diverse Sequential Subset Selection for Supervised Video Summarization Boqing Gong, Wei-Lun Chao, Kristen Grauman, Fei Sha