Prediction-based MAC-layer sensing in cognitive radio networks. - Lei Zhang 067; Cihang Xie; Tao Jiang 002; Junyang Shen; Qi Qi 002; Dexiang Meng (Wirel. Commun. Mob. Comput., 2016)

Detecting Semantic Parts on Partially Occluded Objects. - Jianyu Wang 001; Zhishuai Zhang; Cihang Xie; Jun Zhu 001; Lingxi Xie; Alan L. Yuille (BMVC, 2017)

Adversarial Examples for Semantic Segmentation and Object Detection. - Cihang Xie; Jianyu Wang 001; Zhishuai Zhang; Yuyin Zhou; Lingxi Xie; Alan L. Yuille (ICCV, 2017)

DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion. - Zhishuai Zhang; Cihang Xie; Jianyu Wang 001; Lingxi Xie; Alan L. Yuille (CoRR, 2017)

Visual Concepts and Compositional Voting. - Jianyu Wang 001; Zhishuai Zhang; Cihang Xie; Yuyin Zhou; Vittal Premachandran; Jun Zhu 001; Lingxi Xie; Alan L. Yuille (CoRR, 2017)

Single-Shot Object Detection With Enriched Semantics. - Zhishuai Zhang; Siyuan Qiao; Cihang Xie; Wei Shen 002; Bo Wang 044; Alan L. Yuille (CVPR, 2018)

DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion. - Zhishuai Zhang; Cihang Xie; Jianyu Wang 001; Lingxi Xie; Alan L. Yuille (CVPR, 2018)

Mitigating Adversarial Effects Through Randomization. - Cihang Xie; Jianyu Wang 001; Zhishuai Zhang; Zhou Ren; Alan L. Yuille (ICLR (Poster), 2018)

Improving Transferability of Adversarial Examples with Input Diversity. - Cihang Xie; Zhishuai Zhang; Jianyu Wang 001; Yuyin Zhou; Zhou Ren; Alan L. Yuille (CoRR, 2018)

Adversarial Attacks and Defences Competition. - Alexey Kurakin; Ian J. Goodfellow; Samy Bengio; Yinpeng Dong; Fangzhou Liao; Ming Liang; Tianyu Pang; Jun Zhu 001; Xiaolin Hu 001; Cihang Xie; Jianyu Wang 001; Zhishuai Zhang; et al. (CoRR, 2018)

Feature Denoising for Improving Adversarial Robustness. - Cihang Xie; Yuxin Wu; Laurens van der Maaten; Alan L. Yuille; Kaiming He (CVPR, 2019)

Improving Transferability of Adversarial Examples With Input Diversity. - Cihang Xie; Zhishuai Zhang; Yuyin Zhou; Song Bai 001; Jianyu Wang 001; Zhou Ren; Alan L. Yuille (CVPR, 2019)

Intriguing properties of adversarial training. - Cihang Xie; Alan L. Yuille (CoRR, 2019)

UPC: Learning Universal Physical Camouflage Attacks on Object Detectors. - Lifeng Huang; Chengying Gao; Yuyin Zhou; Changqing Zou; Cihang Xie; Alan L. Yuille; Ning Liu (CoRR, 2019)

Learning Transferable Adversarial Examples via Ghost Networks. - Yingwei Li 002; Song Bai 001; Yuyin Zhou; Cihang Xie; Zhishuai Zhang; Alan L. Yuille (AAAI, 2020)

Universal Physical Camouflage Attacks on Object Detectors. - Lifeng Huang; Chengying Gao; Yuyin Zhou; Cihang Xie; Alan L. Yuille; Changqing Zou; Ning Liu (CVPR, 2020)

Neural Architecture Search for Lightweight Non-Local Networks. - Yingwei Li 002; Xiaojie Jin; Jieru Mei; Xiaochen Lian; Linjie Yang; Cihang Xie; Qihang Yu; Yuyin Zhou; Song Bai 001; Alan L. Yuille (CVPR, 2020)

Adversarial Examples Improve Image Recognition. - Cihang Xie; Mingxing Tan; Boqing Gong; Jiang Wang 001; Alan L. Yuille; Quoc V. Le (CVPR, 2020)

Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. - Yingwei Li 002; Song Bai 001; Cihang Xie; Zhenyu Liao 003; Xiaohui Shen; Alan L. Yuille (ECCV (11), 2020)

PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning. - Chenglin Yang; Adam Kortylewski; Cihang Xie; Yinzhi Cao; Alan L. Yuille (ECCV (26), 2020)

Intriguing Properties of Adversarial Training at Scale. - Cihang Xie; Alan L. Yuille (ICLR, 2020)

Smooth Adversarial Training. - Cihang Xie; Mingxing Tan; Boqing Gong; Alan L. Yuille; Quoc V. Le (CoRR, 2020)

Batch Normalization with Enhanced Linear Transformation. - Yuhui Xu; Lingxi Xie; Cihang Xie; Jieru Mei; Siyuan Qiao; Wei Shen 002; Hongkai Xiong; Alan L. Yuille (CoRR, 2020)

Robust and Accurate Object Detection via Adversarial Learning. - Xiangning Chen; Cihang Xie; Mingxing Tan; Li Zhang 003; Cho-Jui Hsieh; Boqing Gong (CVPR, 2021)

Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. - Zhuowan Li; Elias Stengel-Eskin; Yixiao Zhang 001; Cihang Xie; Quan Tran; Benjamin Van Durme; Alan L. Yuille (ICCV, 2021)

Shape-Texture Debiased Neural Network Training. - Yingwei Li 002; Qihang Yu; Mingxing Tan; Jieru Mei; Peng Tang; Wei Shen 002; Alan L. Yuille; Cihang Xie (ICLR, 2021)

Are Transformers more robust than CNNs? - Yutong Bai; Jieru Mei; Alan L. Yuille; Cihang Xie (NeurIPS, 2021)

iBOT: Image BERT Pre-Training with Online Tokenizer. - Jinghao Zhou; Chen Wei 005; Huiyu Wang; Wei Shen 002; Cihang Xie; Alan L. Yuille; Tao Kong (CoRR, 2021)

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 (CVPR, 2022)

Simulated Adversarial Testing of Face Recognition Models. - Nataniel Ruiz; Adam Kortylewski; Weichao Qiu; Cihang Xie; Sarah Adel Bargal; Alan L. Yuille; Stan Sclaroff (CVPR, 2022)

In Defense of Image Pre-Training for Spatiotemporal Recognition. - Xianhang Li; Huiyu Wang; Chen Wei 005; Jieru Mei; Alan L. Yuille; Yuyin Zhou; Cihang Xie (ECCV (25), 2022)

ViP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers. - Junbo Li; Huan Zhang; Cihang Xie (ECCV (25), 2022)

Fast AdvProp. - Jieru Mei; Yucheng Han; Yutong Bai; Yixiao Zhang 001; Yingwei Li 002; Xianhang Li; Alan L. Yuille; Cihang Xie (ICLR, 2022)

Image BERT Pre-training with Online Tokenizer. - Jinghao Zhou; Chen Wei 005; Huiyu Wang; Wei Shen 002; Cihang Xie; Alan L. Yuille; Tao Kong (ICLR, 2022)

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. - Sizhe Chen; Zhehao Huang; Qinghua Tao; Yingwen Wu; Cihang Xie; Xiaolin Huang (NeurIPS, 2022)

Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. - Nataniel Ruiz; Sarah A. Bargal; Cihang Xie; Kate Saenko; Stan Sclaroff (NeurIPS, 2022)

Learning to Bootstrap for Combating Label Noise. - Yuyin Zhou; Xianhang Li; Fengze Liu; Xuxi Chen; Lequan Yu; Cihang Xie; Matthew P. Lungren; Lei Xing 001 (CoRR, 2022)

Bag of Tricks for FGSM Adversarial Training. - Zichao Li 002; Li Liu 046; Zeyu Wang 008; Yuyin Zhou; Cihang Xie (CoRR, 2022)

Navigation as the Attacker Wishes? Towards Building Byzantine-Robust Embodied Agents under Federated Learning. - Yunchao Zhang; Zonglin Di; Kaiwen Zhou; Cihang Xie; Xin Wang (CoRR, 2022)

Localization vs. Semantics: How Can Language Benefit Visual Representation Learning? - Zhuowan Li; Cihang Xie; Benjamin Van Durme; Alan L. Yuille (CoRR, 2022)

Practical Disruption of Image Translation Deepfake Networks. - Nataniel Ruiz; Sarah Adel Bargal; Cihang Xie; Stan Sclaroff (AAAI, 2023)

Masked Autoencoders Enable Efficient Knowledge Distillers. - Yutong Bai; Zeyu Wang 008; Junfei Xiao; Chen Wei 005; Huiyu Wang; Alan L. Yuille; Yuyin Zhou; Cihang Xie (CVPR, 2023)

Diffusion Models as Masked Autoencoders. - Chen Wei 005; Karttikeya Mangalam; Po-Yao Huang 001; Yanghao Li; Haoqi Fan 001; Hu Xu 001; Huiyu Wang; Cihang Xie; Alan L. Yuille; Christoph Feichtenhofer (ICCV, 2023)

DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation. - Zeyu Wang 008; Dingwen Li; Chenxu Luo; Cihang Xie; Xiaodong Yang (ICCV, 2023)

SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training. - Yuanze Lin; Chen Wei 005; Huiyu Wang; Alan L. Yuille; Cihang Xie (ICCV, 2023)

Can CNNs Be More Robust Than Transformers? - Zeyu Wang 008; Yutong Bai; Yuyin Zhou; Cihang Xie (ICLR, 2023)

One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks. - Shutong Wu; Sizhe Chen; Cihang Xie; Xiaolin Huang (ICLR, 2023)

SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. - Yiqing Wang; Zihan Li; Jieru Mei; Zihao Wei; Li Liu 046; Chen Wang 049; Shengtian Sang; Alan L. Yuille; Cihang Xie; Yuyin Zhou (MICCAI (3), 2023)

Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation. - Qingyue Wei; Lequan Yu; Xianhang Li; Wei Shao 008; Cihang Xie; Lei Xing 001; Yuyin Zhou (MICCAI (4), 2023)

3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge. - Siwei Yang; Xianhang Li; Jieru Mei; Jieneng Chen; Cihang Xie; Yuyin Zhou (BraTS/CrossMoDA@MICCAI, 2023)

An Inverse Scaling Law for CLIP Training. - Xianhang Li; Zeyu Wang 008; Cihang Xie (NeurIPS, 2023)

CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy within a $10, 000 Budget; An Extra $4, 000 Unlocks 81.8% Accuracy. - Xianhang Li; Zeyu Wang 008; Cihang Xie (CoRR, 2023)

MixCon3D: Synergizing Multi-View and Cross-Modal Contrastive Learning for Enhancing 3D Representation. - Yipeng Gao; Zeyu Wang 008; Wei-Shi Zheng 001; Cihang Xie; Yuyin Zhou (CoRR, 2023)

How Many Unicorns 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 (CoRR, 2023)

Audio-Visual LLM for Video Understanding. - Fangxun Shu; Lei Zhang 067; Hao Jiang; Cihang Xie (CoRR, 2023)

Compress & Align: Curating Image-Text Data with Human Knowledge. - Lei Zhang 067; Fangxun Shu; Sucheng Ren; Bingchen Zhao; Hao Jiang; Cihang Xie (CoRR, 2023)

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; Alan L. Yuille; Yuyin Zhou; Cihang Xie (CoRR, 2023)

BNET: Batch Normalization With Enhanced Linear Transformation. - Yuhui Xu; Lingxi Xie; Cihang Xie; Wenrui Dai; Jieru Mei; Siyuan Qiao; Wei Shen 002; Hongkai Xiong; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Revisiting Adversarial Training at Scale. - Zeyu Wang 008; Xianhang Li; Hongru Zhu; Cihang Xie (CVPR, 2024)

Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-Training. - Yipeng Gao; Zeyu Wang 008; Wei-Shi Zheng 001; Cihang Xie; Yuyin Zhou (CVPR, 2024)

Benchmarking Robustness in Neural Radiance Fields. - Chen Wang 049; Angtian Wang; Junbo Li; Alan L. Yuille; Cihang Xie (CVPR Workshops, 2024)

Masked Autoencoders are Secretly Efficient Learners. - Zihao Wei; Chen Wei 005; Jieru Mei; Yutong Bai; Zeyu Wang 008; Xianhang Li; Hongru Zhu; Huiyu Wang; Alan L. Yuille; Yuyin Zhou; Cihang Xie (CVPR Workshops, 2024)

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 001 (CVPR, 2024)

Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models. - Zhuowan Li; Cihang Xie; Benjamin Van Durme; Alan L. Yuille (EACL (1), 2024)

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 (ECCV (51), 2024)

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 (ECCV (38), 2024)

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 (ECCV (66), 2024)

Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning. - Bingchen Zhao; Haoqin Tu; Chen Wei 005; Jieru Mei; Cihang Xie (ICLR, 2024)

Rejuvenating image-GPT as Strong Visual Representation Learners. - Sucheng Ren; Zeyu Wang 008; Hongru Zhu; Junfei Xiao; Alan L. Yuille; Cihang Xie (ICML, 2024)

Brain Tumor Segmentation Through Supervoxel Transformer. - Yunfei Xie; Ce Zhou; Jieru Mei; Xianhang Li; Cihang Xie; Yuyin Zhou (ISBI, 2024)

Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning. - Yunchao Zhang; Zonglin Di; Kaiwen Zhou; Cihang Xie; Xin Wang (NAACL-HLT, 2024)

VHELM: A Holistic Evaluation of Vision Language Models. - Tony Lee; Haoqin Tu; Chi Heem Wong; Wenhao Zheng; Yiyang Zhou; Yifan Mai 001; Josselin Somerville Roberts; Michihiro Yasunaga; Huaxiu Yao; Cihang Xie; Percy Liang (NeurIPS, 2024)

Scaling White-Box Transformers for Vision. - Jinrui Yang; Xianhang Li; Druv Pai; Yuyin Zhou; Yi Ma 001; Yaodong Yu; Cihang Xie (NeurIPS, 2024)

AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability. - Siwei Yang; Bingchen Zhao; Cihang Xie (CoRR, 2024)

Mamba-R: Vision Mamba ALSO Needs Registers. - Feng Wang 047; Jiahao Wang 001; Sucheng Ren; Guoyizhe Wei; Jieru Mei; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CoRR, 2024)

What If We Recaption Billions of Web Images with LLaMA-3? - Xianhang Li; Haoqin Tu; Mude Hui; Zeyu Wang 008; Bingchen Zhao; Junfei Xiao; Sucheng Ren; Jieru Mei; Qing Liu 017; Huangjie Zheng; Yuyin Zhou; Cihang Xie (CoRR, 2024)

VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models. - Yuxuan Wang 004; Yueqian Wang; Dongyan Zhao 001; Cihang Xie; Zilong Zheng (CoRR, 2024)

VideoLLaMB: Long-context Video Understanding with Recurrent Memory Bridges. - Yuxuan Wang 004; Cihang Xie; Yang Liu; Zilong Zheng (CoRR, 2024)

A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor? - Yunfei Xie; Juncheng Wu; Haoqin Tu; Siwei Yang; Bingchen Zhao; Yongshuo Zong; Qiao Jin; Cihang Xie; Yuyin Zhou (CoRR, 2024)

Causal Image Modeling for Efficient Visual Understanding. - Feng Wang 047; Timing Yang; Yaodong Yu; Sucheng Ren; Guoyizhe Wei; Angtian Wang; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CoRR, 2024)

M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation. - Sucheng Ren; Yaodong Yu; Nataniel Ruiz; Feng Wang 047; Alan L. Yuille; Cihang Xie (CoRR, 2024)

CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions. - Yanqing Liu; Xianhang Li; Zeyu Wang 008; Bingchen Zhao; Cihang Xie (CoRR, 2024)

FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. - Peiran Xu 002; Zeyu Wang 008; Jieru Mei; Liangqiong Qu; Alan L. Yuille; Cihang Xie; Yuyin Zhou (Trans. Mach. Learn. Res., 2024)

Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies. - Zichao Li 002; Cihang Xie; Ekin Dogus Cubuk (Trans. Mach. Learn. Res., 2024)

Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics. - Haoqin Tu; Bingchen Zhao; Chen Wei 005; Cihang Xie (Trans. Mach. Learn. Res., 2024)

Unleashing the Power of Visual Prompting At the Pixel Level. - Junyang Wu; Xianhang Li; Chen Wei 005; Huiyu Wang; Alan L. Yuille; Yuyin Zhou; Cihang Xie (Trans. Mach. Learn. Res., 2024)

On the Adversarial Robustness of Camera-based 3D Object Detection. - Shaoyuan Xie; Zichao Li 002; Zeyu Wang 008; Cihang Xie (Trans. Mach. Learn. Res., 2024)

Efficient VideoMAE via Temporal Progressive Training. - Xianhang Li; Peng Wang; Xinyu Li; Heng Wang; Hongru Zhu; Cihang Xie (CVPR Workshops, 2025)

Mamba-Reg: Vision Mamba Also Needs Registers. - Feng Wang 047; Jiahao Wang 001; Sucheng Ren; Guoyizhe Wei; Jieru Mei; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CVPR, 2025)

Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency. - Feng Wang 047; Timing Yang; Yaodong Yu; Sucheng Ren; Guoyizhe Wei; Angtian Wang; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CVPR, 2025)

Generative Image Layer Decomposition with Visual Effects. - Jinrui Yang; Qing Liu 017; Yijun Li 001; Soo Ye Kim; Daniil Pakhomov; Mengwei Ren; Jianming Zhang 001; Zhe Lin 001; Cihang Xie; Yuyin Zhou (CVPR, 2025)

Probing Vulnerabilities of Vision-LiDAR Based Autonomous Driving Systems. - Siwei Yang; Zeyu Wang 008; Diego Ortiz Barbosa; Luis Burbano; Murat Kantarcioglu; Alvaro A. Cárdenas; Cihang Xie (CVPR Workshops, 2025)

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 (ICLR, 2025)

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 (ICLR, 2025)

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 001; James Zou 001; Cihang Xie; Yuyin Zhou (ICLR, 2025)

SPFormer: Enhancing Vision Transformer with Superpixel Representation. - Jieru Mei; Liang-Chieh Chen; Alan L. Yuille; Cihang Xie (Trans. Mach. Learn. Res., 2025)

ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning. - Sucheng Ren; Hongru Zhu; Chen Wei 005; Yijiang Li; Alan L. Yuille; Cihang Xie (Trans. Mach. Learn. Res., 2025)

AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation. - Zijun Wang; Haoqin Tu; Jieru Mei; Bingchen Zhao; Yisen Wang 001; Cihang Xie (Trans. Mach. Learn. Res., 2025)

AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability in Algorithmic Environments. - Siwei Yang; Bingchen Zhao; Cihang Xie (Trans. Mach. Learn. Res., 2025)

Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness. - Zeyu Wang 008; Cihang Xie; Brian R. Bartoldson; Bhavya Kailkhura (CoRR, 2025)

ARFlow: Autogressive Flow with Hybrid Linear Attention. - Mude Hui; Rui-Jie Zhu 003; Songlin Yang; Yu Zhang 092; Zirui Wang; Yuyin Zhou; Jason Eshraghian; Cihang Xie (CoRR, 2025)

Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More. - Feng Wang 047; Yaodong Yu; Guoyizhe Wei; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CoRR, 2025)

Safety at Scale: A Comprehensive Survey of Large Model Safety. - Xingjun Ma; Yifeng Gao; Yixu Wang; Ruofan Wang; Xin Wang; Ye Sun; Yifan Ding; Hengyuan Xu; Yunhao Chen; Yunhan Zhao; Hanxun Huang; Yige Li; et al. (CoRR, 2025)

ViLBench: A Suite for Vision-Language Process Reward Modeling. - Haoqin Tu; Weitao Feng; Hardy Chen; Hui Liu 031; Xianfeng Tang; Cihang Xie (CoRR, 2025)

STAR-1: Safer Alignment of Reasoning LLMs with 1K Data. - Zijun Wang; Haoqin Tu; Yuhan Wang; Juncheng Wu; Jieru Mei; Brian R. Bartoldson; Bhavya Kailkhura; Cihang Xie (CoRR, 2025)

SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models. - Hardy Chen; Haoqin Tu; Fali Wang; Hui Liu 031; Xianfeng Tang; Xinya Du; Yuyin Zhou; Cihang Xie (CoRR, 2025)

Complex-Edit: CoT-Like Instruction Generation for Complexity-Controllable Image Editing Benchmark. - Siwei Yang; Mude Hui; Bingchen Zhao; Yuyin Zhou; Nataniel Ruiz; Cihang Xie (CoRR, 2025)

OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning. - Xianhang Li; Yanqing Liu; Haoqin Tu; Hongru Zhu; Cihang Xie (CoRR, 2025)

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones. - Diego Ortiz Barbosa; Luis Burbano; Siwei Yang; Zijun Wang; Alvaro A. Cárdenas; Cihang Xie; Yinzhi Cao (CoRR, 2025)

MedFrameQA: A Multi-Image Medical VQA Benchmark for Clinical Reasoning. - Suhao Yu; Haojin Wang; Juncheng Wu; Cihang Xie; Yuyin Zhou (CoRR, 2025)

Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains. - Juncheng Wu; Sheng Liu; Haoqin Tu; Hang Yu; Xiaoke Huang; James Y. Zou; Cihang Xie; Yuyin Zhou (CoRR, 2025)

GPT-IMAGE-EDIT-1.5M: A Million-Scale, GPT-Generated Image Dataset. - Yuhan Wang; Siwei Yang; Bingchen Zhao; Letian Zhang; Qing Liu 017; Yuyin Zhou; Cihang Xie (CoRR, 2025)