A random-effects Wiener degradation model based on accelerated failure time. - Qingqing Zhai; Piao Chen; Lanqing Hong; Lijuan Shen (Reliab. Eng. Syst. Saf., 2018)

System Reliability Evaluation Under Dynamic Operating Conditions. - Lanqing Hong; Qingqing Zhai; Xin Wang 101; Zhi-Sheng Ye 001 (IEEE Trans. Reliab., 2019)

VEGA: Towards an End-to-End Configurable AutoML Pipeline. - Bochao Wang; Hang Xu 004; Jiajin Zhang; Chen Chen 077; Yixing Xu; Xiaozhi Fang; Ning Kang 001; Lanqing Hong; Chenhan Jiang; Xinyue Cai; Jiawei Li; Fengwei Zhou; et al. (CoRR, 2020)

DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. - Haoyue Bai 001; Rui Sun; Lanqing Hong; Fengwei Zhou; Nanyang Ye 001; Han-Jia Ye; S.-H. Gary Chan; Zhenguo Li (AAAI, 2021)

MetaAugment: Sample-Aware Data Augmentation Policy Learning. - Fengwei Zhou; Jiawei Li; Chuanlong Xie; Fei Chen 013; Lanqing Hong; Rui Sun; Zhenguo Li (AAAI, 2021)

ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning. - Liyuan Wang; Kuo Yang; Chongxuan Li; Lanqing Hong; Zhenguo Li; Jun Zhu 001 (CVPR, 2021)

Adversarial Robustness for Unsupervised Domain Adaptation. - Muhammad Awais; Fengwei Zhou; Hang Xu 004; Lanqing Hong; Ping Luo 002; Sung-Ho Bae; Zhenguo Li (ICCV, 2021)

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. - Haoyue Bai 001; Fengwei Zhou; Lanqing Hong; Nanyang Ye 001; S.-H. Gary Chan; Zhenguo Li (ICCV, 2021)

MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. - Kai Chen 023; Lanqing Hong; Hang Xu 004; Zhenguo Li; Dit-Yan Yeung (ICCV, 2021)

Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. - Fan Bao; Kun Xu 004; Chongxuan Li; Lanqing Hong; Jun Zhu 001; Bo Zhang 010 (ICML, 2021)

A Heuristic-IRM Method on Hard Disk Failure Prediction in Out-of-distribution Environments. - Jichao Wang; Ran Zhang; Guanqiang Qi; Lanqing Hong (IEEM, 2021)

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving. - Jianhua Han; Xiwen Liang; Hang Xu 004; Kai Chen 023; Lanqing Hong; Jiageng Mao; Chaoqiang Ye; Wei Zhang 196; Zhenguo Li; Xiaodan Liang; Chunjing Xu (NeurIPS Datasets and Benchmarks, 2021)

Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation. - Qijun Luo; Zhili Liu; Lanqing Hong; Chongxuan Li; Kuo Yang; Liyuan Wang; Fengwei Zhou; Guilin Li; Zhenguo Li; Jun Zhu 001 (CoRR, 2021)

How Well Self-Supervised Pre-Training Performs with Streaming Data? - Dapeng Hu; Qizhengqiu Lu; Lanqing Hong; Hailin Hu 002; Yifan Zhang 004; Zhenguo Li; Alfred Shen; Jiashi Feng (CoRR, 2021)

OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms. - Nanyang Ye 001; Kaican Li; Lanqing Hong; Haoyue Bai 001; Yiting Chen 003; Fengwei Zhou; Zhenguo Li (CoRR, 2021)

Contextualizing Multiple Tasks via Learning to Decompose. - Han-Jia Ye; Da-Wei Zhou 001; Lanqing Hong; Zhenguo Li; Xiu-Shen Wei; De-Chuan Zhan (CoRR, 2021)

SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving. - Jianhua Han; Xiwen Liang; Hang Xu 004; Kai Chen 023; Lanqing Hong; Chaoqiang Ye; Wei Zhang 196; Zhenguo Li; Xiaodan Liang; Chunjing Xu (CoRR, 2021)

Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision. - Yifan Zhang 004; Bryan Hooi; Lanqing Hong; Jiashi Feng (CoRR, 2021)

Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. - Zhili Liu; Jianhua Han; Lanqing Hong; Hang Xu 004; Kai Chen 023; Chunjing Xu; Zhenguo Li (AAAI, 2022)

Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. - Runpeng Yu 001; Hong Zhu 003; Kaican Li; Lanqing Hong; Rui Zhang 003; Nanyang Ye 001; Shao-Lun Huang; Xiuqiang He 001 (AAAI, 2022)

Re-examining Distillation for Continual Object Detection. - Eli Verwimp; Kuo Yang; Sarah Parisot; Lanqing Hong; Steven McDonagh 001; Eduardo Pérez-Pellitero; Matthias De Lange; Tinne Tuytelaars (BMVC, 2022)

Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving. - Longhui Yu; Yifan Zhang 004; Lanqing Hong; Fei Chen 013; Zhenguo Li (BMVC, 2022)

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. - Nanyang Ye 001; Kaican Li; Haoyue Bai 001; Runpeng Yu 001; Lanqing Hong; Fengwei Zhou; Zhenguo Li; Jun Zhu 001 (CVPR, 2022)

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. - Kaican Li; Kai Chen 023; Haoyu Wang; Lanqing Hong; Chaoqiang Ye; Jianhua Han; Yukuai Chen; Wei Zhang 196; Chunjing Xu; Dit-Yan Yeung; Xiaodan Liang; Zhenguo Li; et al. (ECCV (38), 2022)

Generative Negative Text Replay for Continual Vision-Language Pretraining. - Shipeng Yan; Lanqing Hong; Hang Xu 004; Jianhua Han; Tinne Tuytelaars; Zhenguo Li; Xuming He 001 (ECCV (36), 2022)

DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction. - Kaichen Zhou; Lanqing Hong; Changhao Chen; Hang Xu 004; Chaoqiang Ye; Qingyong Hu; Zhenguo Li (ECCV (39), 2022)

Generalizing Few-Shot NAS with Gradient Matching. - Shoukang Hu; Ruochen Wang; Lanqing Hong; Zhenguo Li; Cho-Jui Hsieh; Jiashi Feng (ICLR, 2022)

How Well Does Self-Supervised Pre-Training Perform with Streaming Data? - Dapeng Hu; Shipeng Yan; Qizhengqiu Lu; Lanqing Hong; Hailin Hu 002; Yifan Zhang 004; Zhenguo Li; Xinchao Wang; Jiashi Feng (ICLR, 2022)

Memory Replay with Data Compression for Continual Learning. - Liyuan Wang; Xingxing Zhang 001; Kuo Yang; Longhui Yu; Chongxuan Li; Lanqing Hong; Shifeng Zhang; Zhenguo Li; Yi Zhong; Jun Zhu 001 (ICLR, 2022)

Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition. - Yifan Zhang 004; Bryan Hooi; Lanqing Hong; Jiashi Feng (NeurIPS, 2022)

DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. - Kaichen Zhou; Lanqing Hong; Shoukang Hu; Fengwei Zhou; Binxin Ru; Jiashi Feng; Zhenguo Li (Trans. Mach. Learn. Res., 2022)

Fair-CDA: Continuous and Directional Augmentation for Group Fairness. - Rui Sun; Fengwei Zhou; Zhenhua Dong; Chuanlong Xie; Lanqing Hong; Jiawei Li; Rui Zhang 003; Zhen Li; Zhenguo Li (AAAI, 2023)

Mixed Autoencoder for Self-Supervised Visual Representation Learning. - Kai Chen 023; Zhili Liu; Lanqing Hong; Hang Xu 004; Zhenguo Li; Dit-Yan Yeung (CVPR, 2023)

ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning. - Hao Yang 044; Lanqing Hong; Aoxue Li; Tianyang Hu; Zhenguo Li; Gim Hee Lee; Liwei Wang 001 (CVPR, 2023)

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection. - Benjin Zhu; Zhe Wang 006; Shaoshuai Shi; Hang Xu 004; Lanqing Hong; Hongsheng Li 001 (CVPR, 2023)

DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models. - Ruiyuan Gao 001; Chenchen Zhao; Lanqing Hong; Qiang Xu 001 (ICCV, 2023)

MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation. - Chongjian Ge; Junsong Chen; Enze Xie; Zhongdao Wang; Lanqing Hong; Huchuan Lu; Zhenguo Li; Ping Luo 002 (ICCV, 2023)

DDP: Diffusion Model for Dense Visual Prediction. - Yuanfeng Ji; Zhe Chen 017; Enze Xie; Lanqing Hong; Xihui Liu; Zhaoqiang Liu; Tong Lu; Zhenguo Li; Ping Luo 002 (ICCV, 2023)

Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts. - Zhili Liu; Kai Chen 023; Jianhua Han; Lanqing Hong; Hang Xu 004; Zhenguo Li; James T. Kwok (ICLR, 2023)

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. - Shentong Mo; Enze Xie; Ruihang Chu; Lanqing Hong; Matthias Nießner; Zhenguo Li (NeurIPS, 2023)

Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning. - Xinyun Zhang; Lanqing Hong (CoRR, 2023)

MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation. - Chongjian Ge; Junsong Chen; Enze Xie; Zhongdao Wang; Lanqing Hong; Huchuan Lu; Zhenguo Li; Ping Luo 002 (CoRR, 2023)

Boosting Visual-Language Models by Exploiting Hard Samples. - Haonan Wang; Minbin Huang; Runhui Huang; Lanqing Hong; Hang Xu 004; Tianyang Hu; Xiaodan Liang; Zhenguo Li (CoRR, 2023)

Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts. - Yuyang Zhao; Enze Xie; Lanqing Hong; Zhenguo Li; Gim Hee Lee (CoRR, 2023)

ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis. - Shoukang Hu; Kaichen Zhou; Kaiyu Li; Longhui Yu; Lanqing Hong; Tianyang Hu; Zhenguo Li; Gim Hee Lee; Ziwei Liu 002 (CoRR, 2023)

Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt. - Kai Chen 023; Enze Xie; Zhe Chen; Lanqing Hong; Zhenguo Li; Dit-Yan Yeung (CoRR, 2023)

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. - Shentong Mo; Enze Xie; Ruihang Chu; Lewei Yao; Lanqing Hong; Matthias Nießner; Zhenguo Li (CoRR, 2023)

Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models. - Zhili Liu; Kai Chen 023; Yifan Zhang; Jianhua Han; Lanqing Hong; Hang Xu 004; Zhenguo Li; Dit-Yan Yeung; James T. Kwok (CoRR, 2023)

Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts. - Kaican Li; Yifan Zhang; Lanqing Hong; Zhenguo Li; Nevin L. Zhang (CoRR, 2023)

Animate124: Animating One Image to 4D Dynamic Scene. - Yuyang Zhao; Zhiwen Yan; Enze Xie; Lanqing Hong; Zhenguo Li; Gim Hee Lee (CoRR, 2023)

TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models. - Pengxiang Li; Zhili Liu; Kai Chen 023; Lanqing Hong; Yunzhi Zhuge; Dit-Yan Yeung; Huchuan Lu; Xu Jia 012 (CoRR, 2023)

Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning. - Yunhao Gou; Zhili Liu; Kai Chen 023; Lanqing Hong; Hang Xu 004; Aoxue Li; Dit-Yan Yeung; James T. Kwok; Yu Zhang 006 (CoRR, 2023)

SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields. - Kaichen Zhou; Lanqing Hong; Enze Xie; Yongxin Yang; Zhenguo Li; Wei Zhang 196 (CoRR, 2023)

Continual Learning by Modeling Intra-Class Variation. - Longhui Yu; Tianyang Hu; Lanqing Hong; Zhen Liu 019; Adrian Weller; Weiyang Liu (Trans. Mach. Learn. Res., 2023)

CLAD: A realistic Continual Learning benchmark for Autonomous Driving. - Eli Verwimp; Kuo Yang; Sarah Parisot; Lanqing Hong; Steven McDonagh 001; Eduardo Pérez-Pellitero; Matthias De Lange; Tinne Tuytelaars (Neural Networks, 2023)

G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection. - Fan Wu 006; Jinling Gao; Lanqing Hong; Xinbing Wang; Chenghu Zhou; Nanyang Ye 001 (AAAI, 2024)

DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. - Yibo Wang; Ruiyuan Gao 001; Kai Chen 023; Kaiqiang Zhou; Yingjie Cai; Lanqing Hong; Zhenguo Li; Lihui Jiang; Dit-Yan Yeung; Qiang Xu 001; Kai Zhang 008 (CVPR, 2024)

CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs. - Yingji Zhong; Lanqing Hong; Zhenguo Li; Dan Xu 002 (CVPR, 2024)

Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation. - Yunhao Gou; Kai Chen 023; Zhili Liu; Lanqing Hong; Hang Xu 004; Zhenguo Li; Dit-Yan Yeung; James T. Kwok; Yu Zhang 006 (ECCV (17), 2024)

Implicit Concept Removal of Diffusion Models. - Zhili Liu; Kai Chen 023; Yifan Zhang; Jianhua Han; Lanqing Hong; Hang Xu 004; Zhenguo Li; Dit-Yan Yeung; James T. Kwok (ECCV (21), 2024)

CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference. - Erxin Yu; Jing Li 049; Ming Liao; Siqi Wang; Zuchen Gao; Fei Mi; Lanqing Hong (EMNLP, 2024)

MagicDrive: Street View Generation with Diverse 3D Geometry Control. - Ruiyuan Gao 001; Kai Chen 023; Enze Xie; Lanqing Hong; Zhenguo Li; Dit-Yan Yeung; Qiang Xu 001 (ICLR, 2024)

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. - Kai Chen 023; Chunwei Wang; Kuo Yang; Jianhua Han; Lanqing Hong; Fei Mi; Hang Xu 004; Zhengying Liu; Wenyong Huang; Zhenguo Li; Dit-Yan Yeung; Lifeng Shang; et al. (ICLR, 2024)

GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation. - Kai Chen 023; Enze Xie; Zhe Chen; Yibo Wang; Lanqing Hong; Zhenguo Li; Dit-Yan Yeung (ICLR, 2024)

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models. - Kaican Li; Weiyan Xie; Yongxiang Huang; Didan Deng; Lanqing Hong; Zhenguo Li; Ricardo Silva 001; Nevin L. Zhang (NeurIPS, 2024)

LLMs Can Evolve Continually on Modality for X-Modal Reasoning. - Jiazuo Yu; Haomiao Xiong; Lu Zhang 053; Haiwen Diao; Yunzhi Zhuge; Lanqing Hong; Dong Wang 004; Huchuan Lu; You He; Long Chen 016 (NeurIPS, 2024)

Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment. - Zhili Liu; Yunhao Gou; Kai Chen 023; Lanqing Hong; Jiahui Gao; Fei Mi; Yu Zhang 006; Zhenguo Li; Xin Jiang 002; Qun Liu 001; James T. Kwok (CoRR, 2024)

MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes. - Ruiyuan Gao 001; Kai Chen 023; Zhihao Li 002; Lanqing Hong; Zhenguo Li; Qiang Xu 001 (CoRR, 2024)

CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration. - Jiahui Gao; Renjie Pi; Tianyang Han; Han Wu; Lanqing Hong; Lingpeng Kong; Xin Jiang 002; Zhenguo Li (CoRR, 2024)

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. - Kai Chen; Yunhao Gou; Runhui Huang; Zhili Liu; Daxin Tan; Jing Xu; Chunwei Wang; Yi Zhu; Yihan Zeng; Kuo Yang; Dingdong Wang; Kun Xiang; et al. (CoRR, 2024)

AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning. - Kun Xiang; Zhili Liu; Zihao Jiang 005; Yunshuang Nie; Runhui Huang; Haoxiang Fan; Hanhui Li; Weiran Huang 001; Yihan Zeng; Jianhua Han; Lanqing Hong; Hang Xu 004; et al. (CoRR, 2024)

MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control. - Ruiyuan Gao 001; Kai Chen 023; Bo Xiao; Lanqing Hong; Zhenguo Li; Qiang Xu 001 (CoRR, 2024)

Contextualizing Meta-Learning via Learning to Decompose. - Han-Jia Ye; Da-Wei Zhou 001; Lanqing Hong; Zhenguo Li; Xiu-Shen Wei; De-Chuan Zhan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment. - Zhili Liu; Yunhao Gou; Kai Chen 023; Lanqing Hong; Jiahui Gao; Fei Mi; Yu Zhang 006; Zhenguo Li; Xin Jiang 002; Qun Liu 001; James T. Kwok (ACL (1), 2025)

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning. - Erxin Yu; Jing Li 049; Ming Liao; Qi Zhu 011; Boyang Xue; Minghui Xu; Baojun Wang; Lanqing Hong; Fei Mi; Lifeng Shang (ACL (1), 2025)

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. - Kai Chen; Yunhao Gou; Runhui Huang; Zhili Liu; Daxin Tan; Jing Xu; Chunwei Wang; Yi Zhu; Yihan Zeng; Kuo Yang; Dingdong Wang; Kun Xiang; et al. (CVPR, 2025)

Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs. - Yingji Zhong; Zhihao Li 002; Dave Zhenyu Chen; Lanqing Hong; Dan Xu 002 (CVPR, 2025)

SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian Splatting. - Kaichen Zhou; Lanqing Hong; Xinhai Chang; Yingji Zhong; Enze Xie; Hao Dong 003; Zhihao Li; Yongxin Yang; Zhenguo Li; Wei Zhang 196 (CVPR Workshops, 2025)

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model. - Jiahui Gao; Renjie Pi; Jipeng Zhang; Jiacheng Ye; Wanjun Zhong; Yufei Wang 005; Lanqing Hong; Jianhua Han; Hang Xu 004; Zhenguo Li; Lingpeng Kong (ICLR, 2025)

Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks. - Bowei He; Lihao Yin; Hui-Ling Zhen; Jianping Zhang 002; Lanqing Hong; Mingxuan Yuan; Chen Ma 001 (ICLR, 2025)

Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data. - Haonan Wang; Minbin Huang; Runhui Huang; Lanqing Hong; Hang Xu 004; Tianyang Hu; Xiaodan Liang; Zhenguo Li; Hong Cheng 001; Kenji Kawaguchi (NAACL (Long Papers), 2025)

Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases. - Kai Chen 023; Yanze Li; Wenhua Zhang; Yanxin Liu; Pengxiang Li; Ruiyuan Gao 001; Lanqing Hong; Meng Tian; Xinhai Zhao; Zhenguo Li; Dit-Yan Yeung; Huchuan Lu; et al. (WACV, 2025)

TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models. - Pengxiang Li; Kai Chen 023; Zhili Liu; Ruiyuan Gao 001; Lanqing Hong; Dit-Yan Yeung; Huchuan Lu; Xu Jia 012 (WACV, 2025)

Effective Black-Box Multi-Faceted Attacks Breach Vision Large Language Model Guardrails. - Yijun Yang; Lichao Wang; Xiao Yang; Lanqing Hong; Jun Zhu (CoRR, 2025)

Corrupted but Not Broken: Rethinking the Impact of Corrupted Data in Visual Instruction Tuning. - Yunhao Gou; Hansi Yang; Zhili Liu; Kai Chen 023; Yihan Zeng; Lanqing Hong; Zhenguo Li; Qun Liu 001; James T. Kwok; Yu Zhang 006 (CoRR, 2025)

Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views. - Yingji Zhong; Kaichen Zhou; Zhihao Li 002; Lanqing Hong; Zhenguo Li; Dan Xu 002 (CoRR, 2025)

Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models? - Kun Xiang; Zhili Liu; Zihao Jiang 005; Yunshuang Nie; Kaixin Cai; Yiyang Yin; Runhui Huang; Haoxiang Fan; Hanhui Li; Weiran Huang 001; Yihan Zeng; Yu-Jie Yuan; et al. (CoRR, 2025)

ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement. - Runhui Huang; Chunwei Wang; Junwei Yang; Guansong Lu; Yunlong Yuan; Jianhua Han; Lu Hou 002; Wei Zhang 196; Lanqing Hong; Hengshuang Zhao; Hang Xu 004 (CoRR, 2025)

PaMi-VDPO: Mitigating Video Hallucinations by Prompt-Aware Multi-Instance Video Preference Learning. - Xinpeng Ding; Kui Zhang; Jianhua Han; Lanqing Hong; Hang Xu 004; Xiaomeng Li 001 (CoRR, 2025)

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models. - Yunxin Li; Zhenyu Liu; Zitao Li; Xuanyu Zhang; Zhenran Xu; Xinyu Chen 003; Haoyuan Shi; Shenyuan Jiang; Xintong Wang 001; Jifang Wang; Shouzheng Huang; Xinping Zhao; et al. (CoRR, 2025)

Perceptual Decoupling for Scalable Multi-modal Reasoning via Reward-Optimized Captioning. - Yunhao Gou; Kai Chen; Zhili Liu; Lanqing Hong; Xin Jin 005; Zhenguo Li; James T. Kwok; Yu Zhang (CoRR, 2025)

ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving. - Kai Chen 023; Ruiyuan Gao 001; Lanqing Hong; Hang Xu 004; Xu Jia 012; Holger Caesar; Dengxin Dai; Bingbing Liu; Dzmitry Tsishkou; Songcen Xu; Chunjing Xu; Qiang Xu 001; et al. (CoRR, 2025)