Huang, Chen

30 publications

AAAI 2025 CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation Yuxuan Wang, Yijun Liu, Fei Yu, Chen Huang, Kexin Li, Zhiguo Wan, Wanxiang Che, Hongyang Chen

ICML 2025 Cavia: Camera-Controllable Multi-View Video Diffusion with View-Integrated Attention Dejia Xu, Yifan Jiang, Chen Huang, Liangchen Song, Thorsten Gernoth, Liangliang Cao, Zhangyang Wang, Hao Tang

AAAI 2025 LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets Duanyu Feng, Bowen Qin, Chen Huang, Youcheng Huang, Zheng Zhang, Wenqiang Lei

TMLR 2025 Pre-Training Representations of Binary Code Using Contrastive Learning Yifan Zhang, Chen Huang, Yueke Zhang, Huajie Shao, Kevin Leach, Yu Huang

ICML 2025 Proxy-FDA: Proxy-Based Feature Distribution Alignment for Fine-Tuning Vision Foundation Models Without Forgetting Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind

NeurIPS 2025 ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG Yikuan Hu, Jifeng Zhu, Lanrui Tang, Chen Huang

NeurIPS 2024 Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Josh Susskind

NeurIPS 2024 How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks Etai Littwin, Omid Saremi, Madhu Advani, Vimal Thilak, Preetum Nakkiran, Chen Huang, Joshua Susskind

ICLR 2024 LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin

ICLR 2024 Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization Yuhang Zang, Hanlin Goh, Joshua M. Susskind, Chen Huang

AAAI 2024 Towards Equipping Transformer with the Ability of Systematic Compositionality Chen Huang, Peixin Qin, Wenqiang Lei, Jiancheng Lv

ICML 2023 DUET: 2D Structured and Approximately Equivariant Representations Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella

ICLR 2023 MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors Chen Huang, Hanlin Goh, Jiatao Gu, Joshua M. Susskind

ICML 2022 Efficient Representation Learning via Adaptive Context Pooling Chen Huang, Walter Talbott, Navdeep Jaitly, Joshua M Susskind

ECCV 2022 Open-Vocabulary DETR with Conditional Matching Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy

ICML 2022 Position Prediction as an Effective Pretraining Strategy Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M Susskind

ICCV 2021 FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation Yuhang Zang, Chen Huang, Chen Change Loy

CVPR 2021 MetricOpt: Learning to Optimize Black-Box Evaluation Metrics Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh Susskind

ICML 2019 Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Bautista Martin, Shih-Yu Sun, Carlos Guestrin, Josh Susskind

WACV 2018 Ensemble Knowledge Transfer for Semantic Segmentation Ishan Nigam, Chen Huang, Deva Ramanan

ECCV 2018 Pose Guided Human Video Generation Ceyuan Yang, Zhe Wang, Xinge Zhu, Chen Huang, Jianping Shi, Dahua Lin

ICCV 2017 Learning Policies for Adaptive Tracking with Deep Feature Cascades Chen Huang, Simon Lucey, Deva Ramanan

ICCV 2017 Learning to Disambiguate by Asking Discriminative Questions Yining Li, Chen Huang, Xiaoou Tang, Chen Change Loy

ICCV 2017 Need for Speed: A Benchmark for Higher Frame Rate Object Tracking Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey

ECCV 2016 Human Attribute Recognition by Deep Hierarchical Contexts Yining Li, Chen Huang, Chen Change Loy, Xiaoou Tang

CVPR 2016 Learning Deep Representation for Imbalanced Classification Chen Huang, Yining Li, Chen Change Loy, Xiaoou Tang

NeurIPS 2016 Local Similarity-Aware Deep Feature Embedding Chen Huang, Chen Change Loy, Xiaoou Tang

WACV 2016 Task-Driven Progressive Part Localization for Fine-Grained Recognition Chen Huang, Zhihai He

CVPR 2016 Unsupervised Learning of Discriminative Attributes and Visual Representations Chen Huang, Chen Change Loy, Xiaoou Tang

ICCVW 2015 Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation Zhanghui Kuang, Chen Huang, Wei Zhang