Lanqing Hong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
51
Venues
11
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
51 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models. | Yijun Yang, Lichao Wang, Jianping Zhang, Chi Harold Liu, Lanqing Hong, Qiang Xu |
| 2026 | AAAI | Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views. | Yingji Zhong, Kaichen Zhou, Zhihao Li, Lanqing Hong, Zhenguo Li, Dan Xu |
| 2026 | ACL | AEQ-Bench: Measuring Empathy of Omni-Modal Large Models. | Xuan Luo, Lewei Yao, Lanqing Hong, Kai Chen, Dehua Tao, Daxin Tan, Yukun Deng, Ruifeng Xu, Jing Li |
| 2026 | WACV | MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes. | Ruiyuan Gao, Kai Chen, Zhihao Li, Lanqing Hong, Zhenguo Li, Qiang Xu |
| 2025 | ACL | Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment. | Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok |
| 2025 | ACL | Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning. | Erxin Yu, Jing Li, Ming Liao, Qi Zhu, Boyang Xue, Minghui Xu, Baojun Wang, Lanqing Hong, Fei Mi, Lifeng Shang |
| 2025 | CVPR | 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, Haoyuan Li, Haoli Bai, Jianhua Han, Xiaohui Li, Weike Jin, Nian Xie, Yu Zhang, James T. Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Lanqing Hong, Lu Hou, Hang Xu |
| 2025 | CVPR | Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs. | Yingji Zhong, Zhihao Li, Dave Zhenyu Chen, Lanqing Hong, Dan Xu |
| 2025 | CVPR | SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian Splatting. | Kaichen Zhou, Lanqing Hong, Xinhai Chang, Yingji Zhong, Enze Xie, Hao Dong, Zhihao Li, Yongxin Yang, Zhenguo Li, Wei Zhang |
| 2025 | EMNLP | Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning. | Yunhao Gou, Hansi Yang, Zhili Liu, Kai Chen, Yihan Zeng, Lanqing Hong, Zhenguo Li, Qun Liu, Bo Han, James Kwok, Yu Zhang |
| 2025 | ICCV | MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control. | Ruiyuan Gao, Kai Chen, Bo Xiao, Lanqing Hong, Zhenguo Li, Qiang Xu |
| 2025 | ICLR | G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model. | Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong |
| 2025 | ICLR | Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks. | Bowei He, Lihao Yin, Hui-Ling Zhen, Jianping Zhang, Lanqing Hong, Mingxuan Yuan, Chen Ma |
| 2025 | NAACL | 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, Tianyang Hu, Xiaodan Liang, Zhenguo Li, Hong Cheng, Kenji Kawaguchi |
| 2025 | WACV | Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases. | Kai Chen, Yanze Li, Wenhua Zhang, Yanxin Liu, Pengxiang Li, Ruiyuan Gao, Lanqing Hong, Meng Tian, Xinhai Zhao, Zhenguo Li, Dit-Yan Yeung, Huchuan Lu, Xu Jia |
| 2025 | WACV | TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models. | Pengxiang Li, Kai Chen, Zhili Liu, Ruiyuan Gao, Lanqing Hong, Dit-Yan Yeung, Huchuan Lu, Xu Jia |
| 2024 | AAAI | G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection. | Fan Wu, Jinling Gao, Lanqing Hong, Xinbing Wang, Chenghu Zhou, Nanyang Ye |
| 2024 | CVPR | DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. | Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang |
| 2024 | CVPR | CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs. | Yingji Zhong, Lanqing Hong, Zhenguo Li, Dan Xu |
| 2024 | ECCV | Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation. | Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang |
| 2024 | ECCV | Implicit Concept Removal of Diffusion Models. | Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok |
| 2024 | EMNLP | CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference. | Erxin Yu, Jing Li, Ming Liao, Siqi Wang, Zuchen Gao, Fei Mi, Lanqing Hong |
| 2024 | ICLR | MagicDrive: Street View Generation with Diverse 3D Geometry Control. | Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu |
| 2024 | ICLR | Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. | Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang, Xin Jiang, Qun Liu |
| 2024 | ICLR | GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation. | Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung |
| 2023 | AAAI | Fair-CDA: Continuous and Directional Augmentation for Group Fairness. | Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li |
| 2023 | CVPR | Mixed Autoencoder for Self-Supervised Visual Representation Learning. | Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung |
| 2023 | CVPR | ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning. | Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang |
| 2023 | CVPR | ConQueR: Query Contrast Voxel-DETR for 3D Object Detection. | Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, Hongsheng Li |
| 2023 | ICCV | DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models. | Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu |
| 2023 | ICCV | 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 |
| 2023 | ICCV | DDP: Diffusion Model for Dense Visual Prediction. | Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo |
| 2023 | ICLR | Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts. | Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok |
| 2022 | AAAI | Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. | Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li |
| 2022 | AAAI | Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. | Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He |
| 2022 | BMVC | Re-examining Distillation for Continual Object Detection. | Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Prez-Pellitero, Matthias De Lange, Tinne Tuytelaars |
| 2022 | BMVC | Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving. | Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li |
| 2022 | CVPR | OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. | Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu |
| 2022 | ECCV | CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. | Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu |
| 2022 | ECCV | Generative Negative Text Replay for Continual Vision-Language Pretraining. | Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He |
| 2022 | ECCV | DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction. | Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li |
| 2022 | ICLR | Generalizing Few-Shot NAS with Gradient Matching. | Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng |
| 2022 | ICLR | How Well Does Self-Supervised Pre-Training Perform with Streaming Data? | Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng |
| 2022 | ICLR | Memory Replay with Data Compression for Continual Learning. | Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu |
| 2021 | AAAI | DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. | Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li |
| 2021 | AAAI | MetaAugment: Sample-Aware Data Augmentation Policy Learning. | Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li |
| 2021 | CVPR | 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 |
| 2021 | ICCV | Adversarial Robustness for Unsupervised Domain Adaptation. | Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li |
| 2021 | ICCV | NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. | Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li |
| 2021 | ICCV | MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. | Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung |
| 2021 | ICML | Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. | Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang |