Cihang Xie
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
61
Venues
12
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
61 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | STAR-1: Safer Alignment of Reasoning LLMs with 1K Data. | Zijun Wang, Haoqin Tu, Yuhan Wang, Juncheng Wu, Yanqing Liu, Jieru Mei, Brian R. Bartoldson, Bhavya Kailkhura, Cihang Xie |
| 2026 | WACV | LVM-Lite: Training Large Vision Models with Efficient Sequential Modeling. | Xianhang Li, Hongru Zhu, Sucheng Ren, Linjie Yang, Peng Wang, Heng Wang, Xiaohui Shen, Qing Liu, Cihang Xie |
| 2025 | CVPR | Efficient VideoMAE via Temporal Progressive Training. | Xianhang Li, Peng Wang, Xinyu Li, Heng Wang, Hongru Zhu, Cihang Xie |
| 2025 | CVPR | Mamba-Reg: Vision Mamba Also Needs Registers. | Feng Wang, Jiahao Wang, Sucheng Ren, Guoyizhe Wei, Jieru Mei, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie |
| 2025 | CVPR | Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency. | Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei, Angtian Wang, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie |
| 2025 | CVPR | Generative Image Layer Decomposition with Visual Effects. | Jinrui Yang, Qing Liu, Yijun Li, Soo Ye Kim, Daniil Pakhomov, Mengwei Ren, Jianming Zhang, Zhe Lin, Cihang Xie, Yuyin Zhou |
| 2025 | CVPR | Probing Vulnerabilities of Vision-LiDAR Based Autonomous Driving Systems. | Siwei Yang, Zeyu Wang, Diego Ortiz Barbosa, Luis Burbano, Murat Kantarcioglu, Alvaro A. Crdenas, Cihang Xie |
| 2025 | EMNLP | ViLBench: A Suite for Vision-Language Process Reward Modeling. | Haoqin Tu, Weitao Feng, Hardy Chen, Hui Liu, Xianfeng Tang, Cihang Xie |
| 2025 | ICCV | OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning. | Xianhang Li, Yanqing Liu, Haoqin Tu, Cihang Xie |
| 2025 | ICCV | Audio-Visual LLM for Video Understanding. | Fangxun Shu, Lei Zhang, Hao Jiang, Cihang Xie |
| 2025 | ICCV | VideoLLaMB: Long Streaming Video Understanding with Recurrent Memory Bridges. | Yuxuan Wang, Yiqi Song, Cihang Xie, Yang Liu, Zilong Zheng |
| 2025 | ICLR | HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing. | Mude Hui, Siwei Yang, Bingchen Zhao, Yichun Shi, Heng Wang, Peng Wang, Cihang Xie, Yuyin Zhou |
| 2025 | ICLR | Autoregressive Pretraining with Mamba in Vision. | Sucheng Ren, Xianhang Li, Haoqin Tu, Feng Wang, Fangxun Shu, Lei Zhang, Jieru Mei, Linjie Yang, Peng Wang, Heng Wang, Alan L. Yuille, Cihang Xie |
| 2025 | ICLR | MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine. | Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou |
| 2025 | ICML | Scaling Laws in Patchification: An Image Is Worth 50, 176 Tokens And More. | Feng Wang, Yaodong Yu, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie |
| 2025 | ICML | What If We Recaption Billions of Web Images with LLaMA-3? | Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie |
| 2024 | CVPR | Revisiting Adversarial Training at Scale. | Zeyu Wang, Xianhang Li, Hongru Zhu, Cihang Xie |
| 2024 | CVPR | Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-Training. | Yipeng Gao, Zeyu Wang, Wei-Shi Zheng, Cihang Xie, Yuyin Zhou |
| 2024 | CVPR | Benchmarking Robustness in Neural Radiance Fields. | Chen Wang, Angtian Wang, Junbo Li, Alan L. Yuille, Cihang Xie |
| 2024 | CVPR | Masked Autoencoders are Secretly Efficient Learners. | Zihao Wei, Chen Wei, Jieru Mei, Yutong Bai, Zeyu Wang, Xianhang Li, Hongru Zhu, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie |
| 2024 | CVPR | L2B: Learning to Bootstrap Robust Models for Combating Label Noise. | Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing |
| 2024 | EACL | Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models. | Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille |
| 2024 | ECCV | How Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs. | Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie |
| 2024 | ECCV | A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. | Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Bingchen Zhao, Alan L. Yuille, Yuyin Zhou, Cihang Xie |
| 2024 | ECCV | From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation. | Yunfei Xie, Cihang Xie, Alan L. Yuille, Jieru Mei |
| 2024 | ICLR | Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning. | Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie |
| 2024 | ICML | Rejuvenating image-GPT as Strong Visual Representation Learners. | Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan L. Yuille, Cihang Xie |
| 2024 | NAACL | Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning. | Yunchao Zhang, Zonglin Di, Kaiwen Zhou, Cihang Xie, Xin Wang |
| 2023 | AAAI | Practical Disruption of Image Translation Deepfake Networks. | Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Stan Sclaroff |
| 2023 | CVPR | Masked Autoencoders Enable Efficient Knowledge Distillers. | Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie |
| 2023 | ICCV | Diffusion Models as Masked Autoencoders. | Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer |
| 2023 | ICCV | DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation. | Zeyu Wang, Dingwen Li, Chenxu Luo, Cihang Xie, Xiaodong Yang |
| 2023 | ICCV | SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training. | Yuanze Lin, Chen Wei, Huiyu Wang, Alan L. Yuille, Cihang Xie |
| 2023 | ICLR | Can CNNs Be More Robust Than Transformers? | Zeyu Wang, Yutong Bai, Yuyin Zhou, Cihang Xie |
| 2023 | ICLR | One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks. | Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang |
| 2023 | MICCAI | SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. | Yiqing Wang, Zihan Li, Jieru Mei, Zihao Wei, Li Liu, Chen Wang, Shengtian Sang, Alan L. Yuille, Cihang Xie, Yuyin Zhou |
| 2023 | MICCAI | Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation. | Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou |
| 2023 | MICCAI | 3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge. | Siwei Yang, Xianhang Li, Jieru Mei, Jieneng Chen, Cihang Xie, Yuyin Zhou |
| 2022 | CVPR | A Simple Data Mixing Prior for Improving Self-Supervised Learning. | Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou, Cihang Xie |
| 2022 | CVPR | Simulated Adversarial Testing of Face Recognition Models. | Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff |
| 2022 | ECCV | In Defense of Image Pre-Training for Spatiotemporal Recognition. | Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan L. Yuille, Yuyin Zhou, Cihang Xie |
| 2022 | ECCV | ViP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers. | Junbo Li, Huan Zhang, Cihang Xie |
| 2022 | ICLR | Fast AdvProp. | Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie |
| 2022 | ICLR | Image BERT Pre-training with Online Tokenizer. | Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong |
| 2021 | CVPR | Robust and Accurate Object Detection via Adversarial Learning. | Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong |
| 2021 | ICCV | Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. | Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille |
| 2021 | ICLR | Shape-Texture Debiased Neural Network Training. | Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie |
| 2020 | AAAI | Learning Transferable Adversarial Examples via Ghost Networks. | Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille |
| 2020 | CVPR | Universal Physical Camouflage Attacks on Object Detectors. | Lifeng Huang, Chengying Gao, Yuyin Zhou, Cihang Xie, Alan L. Yuille, Changqing Zou, Ning Liu |
| 2020 | CVPR | Neural Architecture Search for Lightweight Non-Local Networks. | Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille |
| 2020 | CVPR | Adversarial Examples Improve Image Recognition. | Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le |
| 2020 | ECCV | Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. | Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille |
| 2020 | ECCV | PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning. | Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille |
| 2020 | ICLR | Intriguing Properties of Adversarial Training at Scale. | Cihang Xie, Alan L. Yuille |
| 2019 | CVPR | Feature Denoising for Improving Adversarial Robustness. | Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He |
| 2019 | CVPR | Improving Transferability of Adversarial Examples With Input Diversity. | Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, Alan L. Yuille |
| 2018 | CVPR | Single-Shot Object Detection With Enriched Semantics. | Zhishuai Zhang, Siyuan Qiao, Cihang Xie, Wei Shen, Bo Wang, Alan L. Yuille |
| 2018 | CVPR | DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion. | Zhishuai Zhang, Cihang Xie, Jianyu Wang, Lingxi Xie, Alan L. Yuille |
| 2018 | ICLR | Mitigating Adversarial Effects Through Randomization. | Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille |
| 2017 | BMVC | Detecting Semantic Parts on Partially Occluded Objects. | Jianyu Wang, Zhishuai Zhang, Cihang Xie, Jun Zhu, Lingxi Xie, Alan L. Yuille |
| 2017 | ICCV | Adversarial Examples for Semantic Segmentation and Object Detection. | Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan L. Yuille |