Lanqing Hong

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 97

Top Topics

Object Detection

Diffusion Models

Autonomous Driving

Top Venues

Publications

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
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. ICLR (2024)
Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts. CoRR (2024)
Yingji Zhong, Lanqing Hong, Zhenguo Li, Dan Xu
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs. CoRR (2024)
Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. CoRR (2024)
Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation. ICLR (2024)
Fan Wu, Jinling Gao, Lanqing Hong, Xinbing Wang, Chenghu Zhou, Nanyang Ye
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection. CoRR (2024)
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
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases. CoRR (2024)
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
MagicDrive: Street View Generation with Diverse 3D Geometry Control. ICLR (2024)
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
Contextualizing Meta-Learning via Learning to Decompose. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Ruiyuan Gao, Kai Chen, Zhihao Li, Lanqing Hong, Zhenguo Li, Qiang Xu
MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes. CoRR (2024)
Erxin Yu, Jing Li, Ming Liao, Siqi Wang, Zuchen Gao, Fei Mi, Lanqing Hong
CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference. CoRR (2024)
Fan Wu, Jinling Gao, Lanqing Hong, Xinbing Wang, Chenghu Zhou, Nanyang Ye
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection. AAAI (2024)
Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment. CoRR (2024)
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation. CoRR (2024)
Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
Mixed Autoencoder for Self-Supervised Visual Representation Learning. CVPR (2023)
Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li
Boosting Visual-Language Models by Exploiting Hard Samples. CoRR (2023)
Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, Hongsheng Li
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection. CVPR (2023)
Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok
Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models. CoRR (2023)
Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo
MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation. ICCV (2023)
Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, Zhenguo Li
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. CoRR (2023)
Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo
DDP: Diffusion Model for Dense Visual Prediction. ICCV (2023)
Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt. CoRR (2023)
Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts. ICLR (2023)
Kaican Li, Yifan Zhang, Lanqing Hong, Zhenguo Li, Nevin L. Zhang
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts. CoRR (2023)
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
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. CoRR (2023)
Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Nießner, Zhenguo Li
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. NeurIPS (2023)
Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning. CoRR (2023)
Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
CLAD: A realistic Continual Learning benchmark for Autonomous Driving. Neural Networks 161 (2023)
Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Aoxue Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning. CoRR (2023)
Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
Mixed Autoencoder for Self-supervised Visual Representation Learning. CoRR (2023)
Pengxiang Li, Zhili Liu, Kai Chen, Lanqing Hong, Yunzhi Zhuge, Dit-Yan Yeung, Huchuan Lu, Xu Jia
TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models. CoRR (2023)
Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning. CVPR (2023)
Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis. CoRR (2023)
Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. AAAI (2023)
Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models. CoRR (2023)
Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo
DDP: Diffusion Model for Dense Visual Prediction. CoRR (2023)
Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo
MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation. CoRR (2023)
Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models. ICCV (2023)
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
MagicDrive: Street View Generation with Diverse 3D Geometry Control. CoRR (2023)
Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model. CoRR (2023)
Xinyun Zhang, Lanqing Hong
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning. CoRR (2023)
Yuyang Zhao, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee
Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts. CoRR (2023)
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
Continual Learning by Modeling Intra-Class Variation. Trans. Mach. Learn. Res. 2023 (2023)
Kaichen Zhou, Lanqing Hong, Enze Xie, Yongxin Yang, Zhenguo Li, Wei Zhang
SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields. CoRR (2023)
Yuyang Zhao, Zhiwen Yan, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee
Animate124: Animating One Image to 4D Dynamic Scene. CoRR (2023)
Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. CoRR (2023)
Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. AAAI (2022)
Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu
Memory Replay with Data Compression for Continual Learning. ICLR (2022)
Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction. ECCV (39) (2022)
Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. CVPR (2022)
Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He
Generative Negative Text Replay for Continual Vision-Language Pretraining. CoRR (2022)
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
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. ECCV (38) (2022)
Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving. BMVC (2022)
Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving. CoRR (2022)
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. AAAI (2022)
Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
CLAD: A realistic Continual Learning benchmark for Autonomous Driving. CoRR (2022)
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
Continual Learning by Modeling Intra-Class Variation. CoRR (2022)
Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, Hongsheng Li
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection. CoRR (2022)
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
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. CoRR (2022)
Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He
Generative Negative Text Replay for Continual Vision-Language Pretraining. ECCV (36) (2022)
Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
Re-examining Distillation For Continual Object Detection. CoRR (2022)
Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng
Generalizing Few-Shot NAS with Gradient Matching. ICLR (2022)
Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu
Memory Replay with Data Compression for Continual Learning. CoRR (2022)
Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng
Generalizing Few-Shot NAS with Gradient Matching. CoRR (2022)
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. Trans. Mach. Learn. Res. 2022 (2022)
Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction. CoRR (2022)
Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR (2022)
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. CoRR (2022)
Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. CoRR (2022)
Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition. NeurIPS (2022)
Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
Re-examining Distillation for Continual Object Detection. BMVC (2022)
Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
MetaAugment: Sample-Aware Data Augmentation Policy Learning. AAAI (2021)
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving. NeurIPS Datasets and Benchmarks (2021)
Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision. CoRR (2021)
Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li
Adversarial Robustness for Unsupervised Domain Adaptation. ICCV (2021)
Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation. CoRR (2021)
Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms. CoRR (2021)
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
Contextualizing Multiple Tasks via Learning to Decompose. CoRR (2021)
Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. ICCV (2021)
Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning. CoRR (2021)
Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. CoRR (2021)
Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. ICCV (2021)
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu
SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving. CoRR (2021)
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. CoRR (2021)
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. AAAI (2021)
Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning. CVPR (2021)
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. ICML (2021)
Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li
Adversarial Robustness for Unsupervised Domain Adaptation. CoRR (2021)
Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng
How Well Self-Supervised Pre-Training Performs with Streaming Data? CoRR (2021)
Jichao Wang, Ran Zhang, Guanqiang Qi, Lanqing Hong
A Heuristic-IRM Method on Hard Disk Failure Prediction in Out-of-distribution Environments. IEEM (2021)
Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. CoRR (2021)
Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
MetaAugment: Sample-Aware Data Augmentation Policy Learning. CoRR (2020)
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. CoRR (2020)
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
VEGA: Towards an End-to-End Configurable AutoML Pipeline. CoRR (2020)
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. CoRR (2020)
Lanqing Hong, Qingqing Zhai, Xin Wang, Zhi-Sheng Ye
System Reliability Evaluation Under Dynamic Operating Conditions. IEEE Trans. Reliab. 68 (3) (2019)
Qingqing Zhai, Piao Chen, Lanqing Hong, Lijuan Shen
A random-effects Wiener degradation model based on accelerated failure time. Reliab. Eng. Syst. Saf. 180 (2018)