Liangliang Ren

According to our database, Liangliang Ren authored at least 17 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Structural variation drives enhancer hijacking via 3D genome disruption in ccRCC.

Yu Dong, Wenjiao Xia, Zitong Yang, Liangliang Ren, Hongru Wang, Yiyang Zhou, Qinchen Li, Zhi Chen, Zhinan Xia, Yichun Zheng, Feifan Wang, Ning He, Bing Cheng, Dongmei Ma, Wei Shao, Wei Guo, Shuwen Wang, Ziqiao Liu, Junxiao Shen, Yiming Qi, Xuke Gong, Juan Jin, Bo Xie, Guixin Zhu, Cheng Zhang

npj Digit. Medicine, 2026

2025

SAM2Grasp: Resolve Multi-modal Grasping via Prompt-conditioned Temporal Action Prediction.

Shengkai Wu, Jinrong Yang, Wenqiu Luo, Linfeng Gao, Chaohui Shang, Meiyu Zhi, Mingshan Sun, Fangping Yang, Liangliang Ren, Yong Zhao

CoRR, December, 2025

Bootstrapping Imitation Learning for Long-horizon Manipulation via Hierarchical Data Collection Space.

Jinrong Yang, Kexun Chen, Zhuoling Li, Shengkai Wu, Yong Zhao, Liangliang Ren, Wenqiu Luo, Chaohui Shang, Meiyu Zhi, Linfeng Gao, Mingshan Sun, Hui Cheng

CoRR, May, 2025

VIP: Vision Instructed Pre-training for Robotic Manipulation.

Zhuoling Li, Liangliang Ren, Jinrong Yang, Yong Zhao, Xiaoyang Wu, Zhenhua Xu, Xiang Bai, Hengshuang Zhao

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

VIRT: Vision Instructed Transformer for Robotic Manipulation.

Zhuoling Li, Liangliang Ren, Jinrong Yang, Yong Zhao, Xiaoyang Wu, Zhenhua Xu, Xiang Bai, Hengshuang Zhao

CoRR, 2024

EfficientDPS: Efficient and End-to-End Depth-aware Panoptic Segmentation.

Shengkai Wu, Liangliang Ren, Linfeng Gao, Yupeng Li, Wen-Yu Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking.

Pan Wang, Liangliang Ren, Shengkai Wu, Jinrong Yang, En Yu, Hangcheng Yu, Xiaoping Li

IEEE Robotics Autom. Lett., April, 2023

2021

Personalized Trajectory Prediction via Distribution Discrimination.

Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning.

Liangliang Ren, Yangyang Song, Jiwen Lu, Jie Zhou

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Uniform and Variational Deep Learning for RGB-D Object Recognition and Person Re-Identification.

Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie Zhou

IEEE Trans. Image Process., 2019

Self-Critical Attention Learning for Person Re-Identification.

Guangyi Chen, Chunze Lin, Liangliang Ren, Jiwen Lu, Jie Zhou

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Enhanced Bayesian Compression via Deep Reinforcement Learning.

Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Relaxation-Free Deep Hashing via Policy Gradient.

Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou

Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Reinforcement Learning with Iterative Shift for Visual Tracking.

Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou

Proceedings of the Computer Vision - ECCV 2018, 2018

Collaborative Deep Reinforcement Learning for Multi-object Tracking.

Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, Jie Zhou

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Multi-modal uniform deep learning for RGB-D person re-identification.

Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie Zhou

Pattern Recognit., 2017

Consistent-Aware Deep Learning for Person Re-identification in a Camera Network.

Ji Lin, Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie Zhou

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017