Lei Liu

According to our database, Lei Liu authored at least 32 papers between 2017 and 2026.

Collaborative distances:

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

2026

SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving.

Runwen Zhu, Jianbo Zhao, Diankun Zhang, Guoan Wang, Xiwu Chen, Siyu Zhang, Jiahao Gong, Qibin Zhou, Wenyuan Zhang, Ningzi Wang, Feiyang Tan, Ziyao Xu, Hangning Zhou, Haotian Yao, Chi Zhang, Lei Liu, Xiaojun Liu, Xiaoguang Di, Bin Li

IEEE Trans. Artif. Intell., June, 2026

Autoregressive Meta-Actions for Unified Controllable Trajectory Generation in Autonomous Driving.

Jianbo Zhao, Taiyu Ban, Xiyang Wang, Qibin Zhou, Hangning Zhou, Zhihao Liu, Xiangjie Li, Lei Liu, Bin Li

IEEE Robotics Autom. Lett., May, 2026

Generative Diffusion Contrastive Network for Multi-View Clustering.

Jian Zhu, Xin Zou, Xi Wang, Lei Liu, Chang Tang, Li-Rong Dai

IEEE Signal Process. Lett., 2026

Large language models are good attackers: Efficient and stealthy textual backdoor attacks.

Ziqiang Li, Yueqi Zeng, Pengfei Xia, Lei Liu, Zhangjie Fu, Bin Li

Pattern Recognit., 2026

Curriculum trustworthy multi-modal learning.

Jian Zhu, Xin Zou, Jun Sun, Bian Wu, Lingfang Zeng, Linqing Feng, Lei Liu, Chang Tang

Expert Syst. Appl., 2026

TDFormer: A novel triple decoupled transformer for accurate multi-step wind power forecasting.

Lei Liu, Xiangyue Liu, Jie Huang, Tianqi Li, Qiuju Chen, Bin Li

Eng. Appl. Artif. Intell., 2026

2025

MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering.

Jian Zhu, Xin Zou, Jun Sun, Cheng Luo, Lei Liu, Lingfang Zeng, Ning Zhang, Bian Wu, Chang Tang, Li-Rong Dai

CoRR, November, 2025

Unleashing Scientific Reasoning for Bio-experimental Protocol Generation via Structured Component-based Reward Mechanism.

Haoran Sun, Yankai Jiang, Zhenyu Tang, Yaning Pan, Shuang Gu, Zekai Lin, Lilong Wang, Wenjie Lou, Lei Liu, Lei Bai, Xiaosong Wang

CoRR, October, 2025

Autoregressive End-to-End Planning with Time-Invariant Spatial Alignment and Multi-Objective Policy Refinement.

Jianbo Zhao, Taiyu Ban, Xiangjie Li, Xingtai Gui, Hangning Zhou, Lei Liu, Hongwei Zhao, Bin Li

CoRR, September, 2025

Enhancing Step-by-Step and Verifiable Medical Reasoning in MLLMs.

Haoran Sun, Yankai Jiang, Wenjie Lou, Yujie Zhang, Wenjie Li, Lilong Wang, Mianxin Liu, Lei Liu, Xiaosong Wang

CoRR, June, 2025

Autoregressive Meta-Actions for Unified Controllable Trajectory Generation.

Jianbo Zhao, Taiyu Ban, Xiyang Wang, Qibin Zhou, Hangning Zhou, Zhihao Liu, Mu Yang, Lei Liu, Bin Li

CoRR, May, 2025

DRoPE: Directional Rotary Position Embedding for Efficient Agent Interaction Modeling.

Jianbo Zhao, Taiyu Ban, Zhihao Liu, Hangning Zhou, Xiyang Wang, Qibin Zhou, Hailong Qin, Mu Yang, Lei Liu, Bin Li

CoRR, March, 2025

Adaptive Confidence Multi-View Learning.

Jian Zhu, Lei Liu, Yu Zhang, Chang Tang, Li-Rong Dai

IEEE Trans. Multim., 2025

Decreasing adversarial transferability using gradient information of attack paths.

Mengjun Xu, Lei Liu, Pengfei Xia, Ziqiang Li, Bin Li

Appl. Soft Comput., 2025

Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search.

Haoran Sun, Yankai Jiang, Wenjie Lou, Yujie Zhang, Wenjie Li, Lilong Wang, Mianxin Liu, Lei Liu, Xiaosong Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CLIP Multi-modal Hashing for Multimedia Retrieval.

Jian Zhu, Mingkai Sheng, Zhangmin Huang, Jingfei Chang, Jinling Jiang, Jian Long, Cheng Luo, Lei Liu

Proceedings of the MultiMedia Modeling, 2025

Dynamic SRM Curriculum for Trustworthy Multi-modal Classification.

Jian Zhu, Cui Yu, Xin Zou, Zhangmin Huang, Chenshu Hu, Jun Sun, Bo Lyu, Lei Liu, Chang Tang, Li-Rong Dai

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Trusted Mamba Contrastive Network for Multi-View Clustering.

Jian Zhu, Xin Zou, Lei Liu, Zhangmin Huang, Ying Zhang, Chang Tang, Li-Rong Dai

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Global Tropical Cyclone Intensity Forecasting with Multi-modal Multi-scale Causal Autoregressive Model.

Xinyu Wang, Kang Chen, Lei Liu, Tao Han, Bin Li, Lei Bai

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints.

Xinyu Wang, Lei Liu, Kang Chen, Tao Han, Bin Li, Lei Bai

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Boosted Curriculum Multi-View Hashing for Multimedia Retrieval.

Jian Zhu, Zhangmin Huang, Lei Liu, Chang Tang, Li-Rong Dai

IEEE Signal Process. Lett., 2024

Real is not True: Backdoor Attacks Against Deepfake Detection.

Hong Sun, Ziqiang Li, Lei Liu, Bin Li

CoRR, 2024

Adaptive Confidence Multi-View Hashing for Multimedia Retrieval.

Jian Zhu, Yu Cui, Zhangmin Huang, Xingyu Li, Lei Liu, Lingfang Zeng, Li-Rong Dai

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Efficient Trigger Word Insertion.

Yueqi Zeng, Ziqiang Li, Pengfei Xia, Lei Liu, Bin Li

CoRR, 2023

2022

Prediction of Vertical Profile of NO₂ Using Deep Multimodal Fusion Network Based on the Ground-Based 3-D Remote Sensing.

Shulin Zhang, Bo Li, Lei Liu, Qihou Hu, Haoran Liu, Rui Zheng, Yizhi Zhu, Ting Liu, Mingzhai Sun, Cheng Liu

IEEE Trans. Geosci. Remote. Sens., 2022

IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation.

Chengtao Peng, Yue Zhang, Jian Zheng, Bin Li, Jun Shen, Ming Li, Lei Liu, Bensheng Qiu, Danny Z. Chen

Comput. Medical Imaging Graph., 2022

2021

Uncertainty in Bayesian deep label distribution learning.

Rui Zheng, Shulin Zhang, Lei Liu, Yuhao Luo, Mingzhai Sun

Appl. Soft Comput., 2021

2020

Dehaze of Cataractous Retinal Images Using an Unpaired Generative Adversarial Network.

Yuhao Luo, Kun Chen, Lei Liu, Jicheng Liu, Jianbo Mao, Genjie Ke, Mingzhai Sun

IEEE J. Biomed. Health Informatics, 2020

W-net: Simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network.

Hongwei Zhao, Chengtao Peng, Lei Liu, Bin Li

CoRR, 2020

Automatic Diagnosis of Familial Exudative Vitreoretinopathy Using a Fusion Neural Network for Wide-Angle Retinal Images.

Yu Ye, Jianbo Mao, Lei Liu, Shulin Zhang, Lijun Shen, Mingzhai Sun

IEEE Access, 2020

2019

β-Dropout: A Unified Dropout.

Lei Liu, Yuhao Luo, Xu Shen, Mingzhai Sun, Bin Li

IEEE Access, 2019

2017

Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space.

Lei Liu, Chengshan Pang, Weiming Liu, Bin Li

Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017