Domain Adaptive Semantic Segmentation Through Structure Enhancement. - Fengmao Lv; Qing Lian; Guowu Yang; Guosheng Lin; Sinno Jialin Pan; Lixin Duan (ECCV Workshops (2), 2018)

Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. - Qing Lian; Lixin Duan; Fengmao Lv; Boqing Gong (ICCV, 2019)

Known-class Aware Self-ensemble for Open Set Domain Adaptation. - Qing Lian; Wen Li 001; Lin Chen 021; Lixin Duan (CoRR, 2019)

Disentangled Generative Causal Representation Learning. - Xinwei Shen 002; Furui Liu; Hanze Dong; Qing Lian; Zhitang Chen; Tong Zhang 001 (CoRR, 2020)

Geometry-aware data augmentation for monocular 3D object detection. - Qing Lian; Botao Ye; Ruijia Xu; Weilong Yao; Tong Zhang 001 (CoRR, 2021)

Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms. - Yunqi Wang; Furui Liu; Zhitang Chen; Qing Lian; Shoubo Hu; Jianye Hao; Yik-Chung Wu (CoRR, 2021)

MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection. - Qing Lian; Peiliang Li 001; Xiaozhi Chen (CVPR, 2022)

Exploring Geometric Consistency for Monocular 3D Object Detection. - Qing Lian; Botao Ye; Ruijia Xu; Weilong Yao; Tong Zhang 001 (CVPR, 2022)

Semi-supervised Monocular 3D Object Detection by Multi-view Consistency. - Qing Lian; Yanbo Xu; Weilong Yao; Yingcong Chen; Tong Zhang 001 (ECCV (8), 2022)

MV-FCOS3D++: Multi-View Camera-Only 4D Object Detection with Pretrained Monocular Backbones. - Tai Wang; Qing Lian; Chenming Zhu; Xinge Zhu; Wenwei Zhang (CoRR, 2022)

Weakly Supervised Disentangled Generative Causal Representation Learning. - Xinwei Shen 002; Furui Liu; Hanze Dong; Qing Lian; Zhitang Chen; Tong Zhang 001 (J. Mach. Learn. Res., 2022)

DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking. - Qing Lian; Tai Wang; Dahua Lin; Jiangmiao Pang (CoRL, 2023)

Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field. - Leheng Li; Qing Lian; Luozhou Wang; Ningning Ma; Yingcong Chen (CVPR, 2023)

Adv3D: Generating 3D Adversarial Examples in Driving Scenarios with NeRF. - Leheng Li; Qing Lian; Ying-Cong Chen (CoRR, 2023)

Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning. - Yong Lin; Chen Liu 030; Chenlu Ye; Qing Lian; Yuan Yao 011; Tong Zhang 001 (CoRR, 2023)

MEDL-U: Uncertainty-aware 3D Automatic Annotator based on Evidential Deep Learning. - Helbert Paat; Qing Lian; Weilong Yao; Tong Zhang 001 (CoRR, 2023)

Towards Generalizable Multi-Camera 3D Object Detection via Perspective Debiasing. - Hao Lu 009; Yunpeng Zhang; Qing Lian; Dalong Du; Yingcong Chen (CoRR, 2023)

R-Tuning: Teaching Large Language Models to Refuse Unknown Questions. - Hanning Zhang; Shizhe Diao; Yong Lin; Yi R. Fung 001; Qing Lian; Xingyao Wang 002; Yangyi Chen; Heng Ji 001; Tong Zhang 001 (CoRR, 2023)

The Instinctive Bias: Spurious Images lead to Illusion in MLLMs. - Tianyang Han; Qing Lian; Rui Pan 002; Renjie Pi; Jipeng Zhang; Shizhe Diao; Yong Lin; Tong Zhang 001 (EMNLP, 2024)

MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance. - Renjie Pi; Tianyang Han; Jianshu Zhang 003; Yueqi Xie; Rui Pan 002; Qing Lian; Hanze Dong; Jipeng Zhang; Tong Zhang 001 (EMNLP, 2024)

MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep Learning. - Helbert Paat; Qing Lian; Weilong Yao; Tong Zhang 001 (ICRA, 2024)

Adv3D: Generating 3D Adversarial Examples for 3D Object Detection in Driving Scenarios with NeRF. - Leheng Li; Qing Lian; Ying-Cong Chen (IROS, 2024)

R-Tuning: Instructing Large Language Models to Say 'I Don't Know'. - Hanning Zhang; Shizhe Diao; Yong Lin; Yi R. Fung 001; Qing Lian; Xingyao Wang 002; Yangyi Chen; Heng Ji 001; Tong Zhang 001 (NAACL-HLT, 2024)

MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance. - Renjie Pi; Tianyang Han; Yueqi Xie; Rui Pan 002; Qing Lian; Hanze Dong; Jipeng Zhang; Tong Zhang 001 (CoRR, 2024)

The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs. - Tianyang Han; Qing Lian; Rui Pan 002; Renjie Pi; Jipeng Zhang; Shizhe Diao; Yong Lin; Tong Zhang 001 (CoRR, 2024)

SyntheOcc: Synthesize Geometric-Controlled Street View Images through 3D Semantic MPIs. - Leheng Li; Weichao Qiu; Yingjie Cai; Xu Yan 005; Qing Lian; Bingbing Liu; Ying-Cong Chen (CoRR, 2024)

OmniBooth: Learning Latent Control for Image Synthesis with Multi-modal Instruction. - Leheng Li; Weichao Qiu; Xu Yan 005; Jing He; Kaiqiang Zhou; Yingjie Cai; Qing Lian; Bingbing Liu; Ying-Cong Chen (CoRR, 2024)

Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering. - Hao Lu 009; Yunpeng Zhang; Guoqing Wang; Qing Lian; Dalong Du; Ying-Cong Chen (AAAI, 2025)

Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection. - Shichao Li; Peiliang Li 004; Qing Lian; Peng Yun; Xiaozhi Chen (CoRR, 2025)