Lanqing Hong

143 papers A* 39A 4Journal 89Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
AEQ-Bench: Measuring Empathy of Omni-Modal Large Models.
CoRR
Xuan Luo, Lewei Yao, Libo Zhao, Lanqing Hong, Kai Chen, Dehua Tao, Daxin Tan, Ruifeng Xu, Jing Li
2026 J jnl
AtomThink: Multimodal Slow Thinking With Atomic Step Reasoning.
IEEE Trans. Pattern Anal. Mach. Intell.
Kun Xiang, Zhili Liu, Terry Jingchen Zhang, Yinya Huang, Yunshuang Nie, Kaixin Cai, Yiyang Yin, Runhui Huang, Hanhui Li, Yihan Zeng, Yu-Jie Yuan, Jianhua Han, Lanqing Hong, Hang Xu, Xiaodan Liang
2026 A* conf
Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views.
AAAI
Yingji Zhong, Kaichen Zhou, Zhihao Li, Lanqing Hong, Zhenguo Li, Dan Xu
2026 J jnl
Mixture of Cluster-Conditional LoRA Experts for Vision-Language Instruction Tuning.
IEEE Trans. Image Process.
Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2026 A* conf
Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models.
AAAI
Yijun Yang, Lichao Wang, Jianping Zhang, Chi Harold Liu, Lanqing Hong, Qiang Xu
2026 J jnl
OoDBench+: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.
IEEE Trans. Pattern Anal. Mach. Intell.
Nanyang Ye, Kaican Li, Fan Wu, Jundong Zhou, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu, Xinbing Wang, Chenghu Zhou
2026 J jnl
VGGT-Det: Mining VGGT Internal Priors for Sensor-Geometry-Free Multi-View Indoor 3D Object Detection.
CoRR
Yang Cao, Feize Wu, Dave Zhenyu Chen, Yingji Zhong, Lanqing Hong, Dan Xu
2025 A conf
Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases.
WACV
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 J jnl
Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models?
CoRR
Kun Xiang, Zhili Liu, Zihao Jiang, Yunshuang Nie, Kaixin Cai, Yiyang Yin, Runhui Huang, Haoxiang Fan, Hanhui Li, Weiran Huang, Yihan Zeng, Yu-Jie Yuan, Jianhua Han, Lanqing Hong, Hang Xu, Xiaodan Liang
2025 A* conf
Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks.
ICLR
Bowei He, Lihao Yin, Hui-Ling Zhen, Jianping Zhang, Lanqing Hong, Mingxuan Yuan, Chen Ma
2025 J jnl
Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks.
CoRR
Bowei He, Lihao Yin, Hui-Ling Zhen, Jianping Zhang, Lanqing Hong, Mingxuan Yuan, Chen Ma
2025 J jnl
Corrupted but Not Broken: Rethinking the Impact of Corrupted Data in Visual Instruction Tuning.
CoRR
Yunhao Gou, Hansi Yang, Zhili Liu, Kai Chen, Yihan Zeng, Lanqing Hong, Zhenguo Li, Qun Liu, James T. Kwok, Yu Zhang
2025 A* conf
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning.
EMNLP
Yunhao Gou, Hansi Yang, Zhili Liu, Kai Chen, Yihan Zeng, Lanqing Hong, Zhenguo Li, Qun Liu, Bo Han, James Kwok, Yu Zhang
2025 J jnl
Developing a Grounded View of AI.
CoRR
Bifei Mao, Lanqing Hong
2025 J jnl
ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving.
CoRR
Kai Chen, Ruiyuan Gao, Lanqing Hong, Hang Xu, Xu Jia, Holger Caesar, Dengxin Dai, Bingbing Liu, Dzmitry Tsishkou, Songcen Xu, Chunjing Xu, Qiang Xu, Huchuan Lu, Dit-Yan Yeung
2025 A* conf
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions.
CVPR
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 J jnl
Effective Black-Box Multi-Faceted Attacks Breach Vision Large Language Model Guardrails.
CoRR
Yijun Yang, Lichao Wang, Xiao Yang, Lanqing Hong, Jun Zhu
2025 J jnl
Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views.
CoRR
Yingji Zhong, Kaichen Zhou, Zhihao Li, Lanqing Hong, Zhenguo Li, Dan Xu
2025 A* conf
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.
ICLR
Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong
2025 — conf
Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data.
NAACL (Long Papers)
Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li, Hong Cheng, Kenji Kawaguchi
2025 J jnl
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement.
CoRR
Runhui Huang, Chunwei Wang, Junwei Yang, Guansong Lu, Yunlong Yuan, Jianhua Han, Lu Hou, Wei Zhang, Lanqing Hong, Hengshuang Zhao, Hang Xu
2025 J jnl
InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search.
CoRR
Kaican Li, Lewei Yao, Jiannan Wu, Tiezheng Yu, Jierun Chen, Haoli Bai, Lu Hou, Lanqing Hong, Wei Zhang, Nevin L. Zhang
2025 — conf
Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment.
ACL (1)
Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok
2025 J jnl
Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models.
CoRR
Yijun Yang, Lichao Wang, Jianping Zhang, Chi Harold Liu, Lanqing Hong, Qiang Xu
2025 J jnl
PaMi-VDPO: Mitigating Video Hallucinations by Prompt-Aware Multi-Instance Video Preference Learning.
CoRR
Xinpeng Ding, Kui Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Xiaomeng Li
2025 J jnl
Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models.
CoRR
Yunxin Li, Zhenyu Liu, Zitao Li, Xuanyu Zhang, Zhenran Xu, Xinyu Chen, Haoyuan Shi, Shenyuan Jiang, Xintong Wang, Jifang Wang, Shouzheng Huang, Xinping Zhao, Borui Jiang, Lanqing Hong, Longyue Wang, Zhuotao Tian, Baoxing Huai, Wenhan Luo, Weihua Luo, Zheng Zhang, Baotian Hu, Min Zhang
2025 J jnl
Perceptual Decoupling for Scalable Multi-modal Reasoning via Reward-Optimized Captioning.
CoRR
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Xin Jin, Zhenguo Li, James T. Kwok, Yu Zhang
2025 — conf
Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning.
ACL (1)
Erxin Yu, Jing Li, Ming Liao, Qi Zhu, Boyang Xue, Minghui Xu, Baojun Wang, Lanqing Hong, Fei Mi, Lifeng Shang
2025 J jnl
Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning.
CoRR
Erxin Yu, Jing Li, Ming Liao, Qi Zhu, Boyang Xue, Minghui Xu, Baojun Wang, Lanqing Hong, Fei Mi, Lifeng Shang
2025 — conf
SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian Splatting.
CVPR Workshops
Kaichen Zhou, Lanqing Hong, Xinhai Chang, Yingji Zhong, Enze Xie, Hao Dong, Zhihao Li, Yongxin Yang, Zhenguo Li, Wei Zhang
2025 A* conf
Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs.
CVPR
Yingji Zhong, Zhihao Li, Dave Zhenyu Chen, Lanqing Hong, Dan Xu
2025 J jnl
Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs.
CoRR
Yingji Zhong, Zhihao Li, Dave Zhenyu Chen, Lanqing Hong, Dan Xu
2025 A conf
TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models.
WACV
Pengxiang Li, Kai Chen, Zhili Liu, Ruiyuan Gao, Lanqing Hong, Dit-Yan Yeung, Huchuan Lu, Xu Jia
2024 J jnl
AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning.
CoRR
Kun Xiang, Zhili Liu, Zihao Jiang, Yunshuang Nie, Runhui Huang, Haoxiang Fan, Hanhui Li, Weiran Huang, Yihan Zeng, Jianhua Han, Lanqing Hong, Hang Xu, Xiaodan Liang
2024 J jnl
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases.
CoRR
Yanze Li, Wenhua Zhang, Kai Chen, Yanxin Liu, Pengxiang Li, Ruiyuan Gao, Lanqing Hong, Meng Tian, Xinhai Zhao, Zhenguo Li, Dit-Yan Yeung, Huchuan Lu, Xu Jia
2024 A* conf
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs.
CVPR
Yingji Zhong, Lanqing Hong, Zhenguo Li, Dan Xu
2024 J jnl
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs.
CoRR
Yingji Zhong, Lanqing Hong, Zhenguo Li, Dan Xu
2024 J jnl
CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration.
CoRR
Jiahui Gao, Renjie Pi, Tianyang Han, Han Wu, Lanqing Hong, Lingpeng Kong, Xin Jiang, Zhenguo Li
2024 A* conf
CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference.
EMNLP
Erxin Yu, Jing Li, Ming Liao, Siqi Wang, Zuchen Gao, Fei Mi, Lanqing Hong
2024 J jnl
CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference.
CoRR
Erxin Yu, Jing Li, Ming Liao, Siqi Wang, Zuchen Gao, Fei Mi, Lanqing Hong
2024 J jnl
Contextualizing Meta-Learning via Learning to Decompose.
IEEE Trans. Pattern Anal. Mach. Intell.
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
2024 A* conf
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception.
CVPR
Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang
2024 J jnl
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception.
CoRR
Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang
2024 A* conf
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models.
NeurIPS
Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang
2024 J jnl
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models.
CoRR
Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang
2024 J jnl
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions.
CoRR
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, Jun Yao, Lanqing Hong, Lu Hou, Hang Xu
2024 J jnl
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation.
CoRR
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2024 — conf
Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation.
ECCV (17)
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2024 A* conf
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection.
AAAI
Fan Wu, Jinling Gao, Lanqing Hong, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2024 J jnl
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection.
CoRR
Fan Wu, Jinling Gao, Lanqing Hong, Xinbing Wang, Chenghu Zhou, Nanyang Ye
2024 A* conf
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.
ICLR
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 A* conf
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation.
ICLR
Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
2024 — conf
Implicit Concept Removal of Diffusion Models.
ECCV (21)
Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok
2024 A* conf
LLMs Can Evolve Continually on Modality for X-Modal Reasoning.
NeurIPS
Jiazuo Yu, Haomiao Xiong, Lu Zhang, Haiwen Diao, Yunzhi Zhuge, Lanqing Hong, Dong Wang, Huchuan Lu, You He, Long Chen
2024 J jnl
LLMs Can Evolve Continually on Modality for X-Modal Reasoning.
CoRR
Jiazuo Yu, Haomiao Xiong, Lu Zhang, Haiwen Diao, Yunzhi Zhuge, Lanqing Hong, Dong Wang, Huchuan Lu, You He, Long Chen
2024 J jnl
MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes.
CoRR
Ruiyuan Gao, Kai Chen, Zhihao Li, Lanqing Hong, Zhenguo Li, Qiang Xu
2024 A* conf
MagicDrive: Street View Generation with Diverse 3D Geometry Control.
ICLR
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
2024 J jnl
MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control.
CoRR
Ruiyuan Gao, Kai Chen, Bo Xiao, Lanqing Hong, Zhenguo Li, Qiang Xu
2024 J jnl
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment.
CoRR
Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok
2024 J jnl
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts.
CoRR
Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok
2023 J jnl
Animate124: Animating One Image to 4D Dynamic Scene.
CoRR
Yuyang Zhao, Zhiwen Yan, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee
2023 J jnl
Boosting Visual-Language Models by Exploiting Hard Samples.
CoRR
Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li
2023 J jnl
CLAD: A realistic Continual Learning benchmark for Autonomous Driving.
Neural Networks
Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2023 A* conf
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection.
CVPR
Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, Hongsheng Li
2023 J jnl
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis.
CoRR
Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu
2023 J jnl
Continual Learning by Modeling Intra-Class Variation.
Trans. Mach. Learn. Res.
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
2023 A* conf
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning.
CVPR
Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang
2023 J jnl
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning.
CoRR
Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang
2023 A* conf
DDP: Diffusion Model for Dense Visual Prediction.
ICCV
Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo
2023 J jnl
DDP: Diffusion Model for Dense Visual Prediction.
CoRR
Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo
2023 A* conf
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation.
NeurIPS
Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Nießner, Zhenguo Li
2023 J jnl
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation.
CoRR
Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, Zhenguo Li
2023 A* conf
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models.
ICCV
Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu
2023 J jnl
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models.
CoRR
Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu
2023 A* conf
Fair-CDA: Continuous and Directional Augmentation for Group Fairness.
AAAI
Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
2023 J jnl
Fair-CDA: Continuous and Directional Augmentation for Group Fairness.
CoRR
Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
2023 J jnl
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.
CoRR
Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong
2023 J jnl
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.
CoRR
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
2023 J jnl
Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models.
CoRR
Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok
2023 J jnl
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt.
CoRR
Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
2023 J jnl
MagicDrive: Street View Generation with Diverse 3D Geometry Control.
CoRR
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
2023 J jnl
Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts.
CoRR
Yuyang Zhao, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee
2023 A* conf
MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation.
ICCV
Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo
2023 J jnl
MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation.
CoRR
Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo
2023 A* conf
Mixed Autoencoder for Self-Supervised Visual Representation Learning.
CVPR
Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2023 J jnl
Mixed Autoencoder for Self-supervised Visual Representation Learning.
CoRR
Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2023 J jnl
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning.
CoRR
Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Aoxue Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2023 J jnl
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning.
CoRR
Xinyun Zhang, Lanqing Hong
2023 J jnl
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts.
CoRR
Kaican Li, Yifan Zhang, Lanqing Hong, Zhenguo Li, Nevin L. Zhang
2023 J jnl
SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields.
CoRR
Kaichen Zhou, Lanqing Hong, Enze Xie, Yongxin Yang, Zhenguo Li, Wei Zhang
2023 A* conf
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts.
ICLR
Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok
2023 J jnl
TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models.
CoRR
Pengxiang Li, Zhili Liu, Kai Chen, Lanqing Hong, Yunzhi Zhuge, Dit-Yan Yeung, Huchuan Lu, Xu Jia
2022 J jnl
CLAD: A realistic Continual Learning benchmark for Autonomous Driving.
CoRR
Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2022 — conf
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.
ECCV (38)
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 J jnl
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.
CoRR
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 J jnl
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection.
CoRR
Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, Hongsheng Li
2022 J jnl
Continual Learning by Modeling Intra-Class Variation.
CoRR
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
2022 J jnl
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture.
Trans. Mach. Learn. Res.
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
2022 — conf
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction.
ECCV (39)
Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li
2022 J jnl
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction.
CoRR
Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li
2022 A conf
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving.
BMVC
Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li
2022 J jnl
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving.
CoRR
Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li
2022 A* conf
Generalizing Few-Shot NAS with Gradient Matching.
ICLR
Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng
2022 J jnl
Generalizing Few-Shot NAS with Gradient Matching.
CoRR
Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng
2022 — conf
Generative Negative Text Replay for Continual Vision-Language Pretraining.
ECCV (36)
Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He
2022 J jnl
Generative Negative Text Replay for Continual Vision-Language Pretraining.
CoRR
Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He
2022 A* conf
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
ICLR
Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng
2022 A* conf
Memory Replay with Data Compression for Continual Learning.
ICLR
Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu
2022 J jnl
Memory Replay with Data Compression for Continual Learning.
CoRR
Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu
2022 A* conf
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.
CVPR
Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu
2022 J jnl
Re-examining Distillation For Continual Object Detection.
CoRR
Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2022 A conf
Re-examining Distillation for Continual Object Detection.
BMVC
Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2022 A* conf
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms.
AAAI
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2022 J jnl
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms.
CoRR
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2022 A* conf
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition.
NeurIPS
Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng
2022 A* conf
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing.
AAAI
Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li
2022 J jnl
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing.
CoRR
Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li
2021 — conf
A Heuristic-IRM Method on Hard Disk Failure Prediction in Out-of-distribution Environments.
IEEM
Jichao Wang, Ran Zhang, Guanqiang Qi, Lanqing Hong
2021 A* conf
Adversarial Robustness for Unsupervised Domain Adaptation.
ICCV
Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li
2021 J jnl
Adversarial Robustness for Unsupervised Domain Adaptation.
CoRR
Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li
2021 J jnl
Contextualizing Multiple Tasks via Learning to Decompose.
CoRR
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
2021 J jnl
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture.
CoRR
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
2021 A* conf
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.
AAAI
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
2021 J jnl
How Well Self-Supervised Pre-Training Performs with Streaming Data?
CoRR
Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng
2021 A* conf
MetaAugment: Sample-Aware Data Augmentation Policy Learning.
AAAI
Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
2021 A* conf
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving.
ICCV
Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2021 J jnl
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving.
CoRR
Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2021 A* conf
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization.
ICCV
Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
2021 J jnl
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization.
CoRR
Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
2021 A* conf
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning.
CVPR
Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu
2021 J jnl
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning.
CoRR
Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu
2021 J jnl
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms.
CoRR
Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li
2021 J jnl
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation.
CoRR
Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu
2021 — conf
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving.
NeurIPS Datasets and Benchmarks
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu
2021 J jnl
SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving.
CoRR
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu
2021 J jnl
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.
CoRR
Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng
2021 A* conf
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models.
ICML
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
2020 J jnl
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.
CoRR
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
2020 J jnl
MetaAugment: Sample-Aware Data Augmentation Policy Learning.
CoRR
Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
2020 J jnl
VEGA: Towards an End-to-End Configurable AutoML Pipeline.
CoRR
Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang
2020 J jnl
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models.
CoRR
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
2019 J jnl
System Reliability Evaluation Under Dynamic Operating Conditions.
IEEE Trans. Reliab.
Lanqing Hong, Qingqing Zhai, Xin Wang, Zhi-Sheng Ye
2018 J jnl
A random-effects Wiener degradation model based on accelerated failure time.
Reliab. Eng. Syst. Saf.
Qingqing Zhai, Piao Chen, Lanqing Hong, Lijuan Shen