Lei Huang - RankMe

109 papers A* 27A 3B 2C 1Journal 69Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EventMemAgent: Hierarchical Event-Centric Memory for Online Video Understanding with Adaptive Tool Use. CoRR Siwei Wen, Zhangcheng Wang, Xingjian Zhang, Lei Huang, Wenjun Wu
2026	J	`jnl`	SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models. Int. J. Comput. Vis. Zonghao Ying, Aishan Liu, Siyuan Liang, Lei Huang, Jinyang Guo, Wenbo Zhou, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	An Investigation of Batch Normalization in Off-Policy Actor-Critic Algorithms. CoRR Li Wang, Sudun, Xingjian Zhang, Wenjun Wu, Lei Huang
2025	A*	`conf`	Clustering Properties of Self-Supervised Learning. ICML Xi Weng, Jianing An, Xudong Ma, Binhang Qi, Jie Luo, Xi Yang, Jin Song Dong, Lei Huang
2025	J	`jnl`	Clustering Properties of Self-Supervised Learning. CoRR Xi Weng, Jianing An, Xudong Ma, Binhang Qi, Jie Luo, Xi Yang, Jin Song Dong, Lei Huang
2025	J	`jnl`	CoE-Ops: Collaboration of LLM-based Experts for AIOps Question-Answering. CoRR Jinkun Zhao, Yuanshuai Wang, Xingjian Zhang, Ruibo Chen, Xingchuang Liao, Junle Wang, Lei Huang, Kui Zhang, Wenjun Wu
2025	J	`jnl`	Dual-mask: Progressively sparse multi-task architecture learning. Pattern Recognit. Jiejie Zhao, Tongyu Zhu, Leilei Sun, Bowen Du, Haiquan Wang, Lei Huang
2025	J	`jnl`	EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity. CoRR Xingjian Zhang, Siwei Wen, Wenjun Wu, Lei Huang
2025	J	`jnl`	Investigating Synthetic-to-Real Transfer Robustness for Stereo Matching and Optical Flow Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Jiawei Zhang, Jiahe Li, Lei Huang, Haonan Luo, Xiaohan Yu, Lin Gu, Jin Zheng, Xiao Bai
2025	J	`jnl`	Parallel Layer Normalization for Universal Approximation. CoRR Yunhao Ni, Yuhe Liu, Wenxin Sun, Yitong Tang, Yuxin Guo, Peilin Feng, Wenjun Wu, Lei Huang
2025	J	`jnl`	RLLaVA: An RL-central Framework for Language and Vision Assistants. CoRR Lei Zhao, Zihao Ma, Boyu Lin, Yuhe Liu, Wenjun Wu, Lei Huang
2025	J	`jnl`	SAGE: Semantic-Aware Shared Sampling for Efficient Diffusion. CoRR Haoran Zhao, Tong Bai, Lei Huang, Xiaoyu Liang
2025	J	`jnl`	TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning. CoRR Xingjian Zhang, Siwei Wen, Wenjun Wu, Lei Huang
2025	J	`jnl`	TinyLLaVA-Video: A Simple Framework of Small-scale Large Multimodal Models for Video Understanding. CoRR Xingjian Zhang, Xi Weng, Yihao Yue, Zhaoxin Fan, Wenjun Wu, Lei Huang
2025	J	`jnl`	Understanding the Dimensional Need of Noncontrastive Learning. IEEE Trans. Cybern. Zhexiao Cao, Lei Huang, Tian Wang, Yinquan Wang, Jingang Shi, Aichun Zhu, Tianyun Shi, Hichem Snoussi
2025	J	`jnl`	Verification of Bit-Flip Attacks against Quantized Neural Networks. CoRR Yedi Zhang, Lei Huang, Pengfei Gao, Fu Song, Jun Sun, Jin Song Dong
2025	J	`jnl`	Verification of Bit-Flip Attacks against Quantized Neural Networks. Proc. ACM Program. Lang. Yedi Zhang, Lei Huang, Pengfei Gao, Fu Song, Jun Sun, Jin Song Dong
2025	J	`jnl`	VoQA: Visual-only Question Answering. CoRR Luyang Jiang, Jianing An, Jie Luo, Wenjun Wu, Lei Huang
2025	J	`jnl`	What Color Is It? A Text-Interference Multimodal Hallucination Benchmark. CoRR Jinkun Zhao, Lei Huang, Haixin Ge, Wenjun Wu
2024	J	`jnl`	Bench-CoE: a Framework for Collaboration of Experts from Benchmark. CoRR Yuanshuai Wang, Xingjian Zhang, Jinkun Zhao, Siwei Wen, Peilin Feng, Shuhao Liao, Lei Huang, Wenjun Wu
2024	J	`jnl`	CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization. CoRR Jiawei Zhang, Jiahe Li, Xiaohan Yu, Lei Huang, Lin Gu, Jin Zheng, Xiao Bai
2024	—	`conf`	CoR-GS: Sparse-View 3D Gaussian Splatting via Co-regularization. ECCV (1) Jiawei Zhang, Jiahe Li, Xiaohan Yu, Lei Huang, Lin Gu, Jin Zheng, Xiao Bai
2024	J	`jnl`	Exploring the Usage of Pre-trained Features for Stereo Matching. Int. J. Comput. Vis. Jiawei Zhang, Lei Huang, Xiao Bai, Jin Zheng, Lin Gu, Edwin R. Hancock
2024	A*	`conf`	Modulate Your Spectrum in Self-Supervised Learning. ICLR Xi Weng, Yunhao Ni, Tengwei Song, Jie Luo, Rao Muhammad Anwer, Salman Khan, Fahad Khan, Lei Huang
2024	A*	`conf`	On the Nonlinearity of Layer Normalization. ICML Yunhao Ni, Yuxin Guo, Junlong Jia, Lei Huang
2024	J	`jnl`	On the Nonlinearity of Layer Normalization. CoRR Yunhao Ni, Yuxin Guo, Junlong Jia, Lei Huang
2024	J	`jnl`	On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations. IEEE Trans. Pattern Anal. Mach. Intell. Huan Xiong, Lei Huang, Wenston J. T. Zang, Xiantong Zhen, Guo-Sen Xie, Bin Gu, Le Song
2024	A*	`conf`	Robust Synthetic-to-Real Transfer for Stereo Matching. CVPR Jiawei Zhang, Jiahe Li, Lei Huang, Xiaohan Yu, Lin Gu, Jin Zheng, Xiao Bai
2024	J	`jnl`	Robust Synthetic-to-Real Transfer for Stereo Matching. CoRR Jiawei Zhang, Jiahe Li, Lei Huang, Xiaohan Yu, Lin Gu, Jin Zheng, Xiao Bai
2024	J	`jnl`	SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models. CoRR Zonghao Ying, Aishan Liu, Siyuan Liang, Lei Huang, Jinyang Guo, Wenbo Zhou, Xianglong Liu, Dacheng Tao
2024	J	`jnl`	TinyLLaVA Factory: A Modularized Codebase for Small-scale Large Multimodal Models. CoRR Junlong Jia, Ying Hu, Xi Weng, Yiming Shi, Miao Li, Xingjian Zhang, Baichuan Zhou, Ziyu Liu, Jie Luo, Lei Huang, Ji Wu
2024	J	`jnl`	TinyLLaVA: A Framework of Small-scale Large Multimodal Models. CoRR Baichuan Zhou, Ying Hu, Xi Weng, Junlong Jia, Jie Luo, Xien Liu, Ji Wu, Lei Huang
2024	J	`jnl`	Towards Defending Multiple ℓ Int. J. Comput. Vis. Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao
2024	J	`jnl`	Understanding Whitening Loss in Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. Lei Huang, Yunhao Ni, Xi Weng, Rao Muhammad Anwer, Salman Khan, Ming-Hsuan Yang, Fahad Khan
2023	J	`jnl`	Combating medical noisy labels by disentangled distribution learning and consistency regularization. Future Gener. Comput. Syst. Yi Zhou, Lei Huang, Tao Zhou, Hanshi Sun
2023	J	`jnl`	Modulate Your Spectrum in Self-Supervised Learning. CoRR Xi Weng, Yunhao Ni, Tengwei Song, Jie Luo, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan, Lei Huang
2023	J	`jnl`	Normalization Techniques in Training DNNs: Methodology, Analysis and Application. IEEE Trans. Pattern Anal. Mach. Intell. Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
2022	J	`jnl`	A Malleable Boundary Network for temporal action detection. Comput. Electr. Eng. Tian Wang, Boyao Hou, Zexian Li, Zhe Li, Lei Huang, Baochang Zhang, Hichem Snoussi
2022	A*	`conf`	An Investigation into Whitening Loss for Self-supervised Learning. NeurIPS Xi Weng, Lei Huang, Lei Zhao, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan
2022	J	`jnl`	An Investigation into Whitening Loss for Self-supervised Learning. CoRR Xi Weng, Lei Huang, Lei Zhao, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan
2022	A*	`conf`	Bi-level Doubly Variational Learning for Energy-based Latent Variable Models. CVPR Ge Kan, Jinhu Lü, Tian Wang, Baochang Zhang, Aichun Zhu, Lei Huang, Guodong Guo, Hichem Snoussi
2022	J	`jnl`	Bi-level Doubly Variational Learning for Energy-based Latent Variable Models. CoRR Ge Kan, Jinhu Lü, Tian Wang, Baochang Zhang, Aichun Zhu, Lei Huang, Guodong Guo, Hichem Snoussi
2022	A*	`conf`	Delving into the Estimation Shift of Batch Normalization in a Network. CVPR Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu
2022	J	`jnl`	Delving into the Estimation Shift of Batch Normalization in a Network. CoRR Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu
2022	A*	`conf`	Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CVPR Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock
2022	J	`jnl`	Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CoRR Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock
2022	A*	`conf`	Understanding the Failure of Batch Normalization for Transformers in NLP. NeurIPS Jiaxi Wang, Ji Wu, Lei Huang
2022	J	`jnl`	Understanding the Failure of Batch Normalization for Transformers in NLP. CoRR Jiaxi Wang, Ji Wu, Lei Huang
2021	J	`jnl`	A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. IEEE Trans. Medical Imaging Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao
2021	—	`conf`	An Investigation on Sparsity of CapsNets for Adversarial Robustness. AdvM @ ACM Multimedia Lei Zhao, Lei Huang
2021	A*	`conf`	CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis. ICCV Yi Zhou, Lei Huang, Tao Zhou, Ling Shao
2021	A*	`conf`	Group Whitening: Balancing Learning Efficiency and Representational Capacity. CVPR Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao
2021	A*	`conf`	Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. AAAI Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao
2021	J	`jnl`	Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. CoRR Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao
2021	A*	`conf`	Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding. NeurIPS Tengwei Song, Jie Luo, Lei Huang
2021	J	`jnl`	Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding. CoRR Tengwei Song, Jie Luo, Lei Huang
2021	A*	`conf`	S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration. CVPR Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides
2021	J	`jnl`	S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration. CoRR Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides
2021	A*	`conf`	Slimmable Generative Adversarial Networks. AAAI Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang
2021	A*	`conf`	Visual-Textual Attentive Semantic Consistency for Medical Report Generation. ICCV Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao
2020	J	`jnl`	A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. CoRR Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao
2020	J	`jnl`	A general non-parametric active learning framework for classification on multiple manifolds. Pattern Recognit. Lett. Lei Huang, Yuqing Ma, Xianglong Liu
2020	J	`jnl`	An Efficient Agreement Mechanism in CapsNets By Pairwise Product. CoRR Lei Zhao, Xiaohui Wang, Lei Huang
2020	A	`conf`	An Efficient Agreement Mechanism in CapsNets by Pairwise Product. ECAI Lei Zhao, Xiaohui Wang, Lei Huang
2020	A*	`conf`	An Investigation Into the Stochasticity of Batch Whitening. CVPR Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
2020	J	`jnl`	An Investigation into the Stochasticity of Batch Whitening. CoRR Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
2020	A*	`conf`	Controllable Orthogonalization in Training DNNs. CVPR Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao
2020	J	`jnl`	Controllable Orthogonalization in Training DNNs. CoRR Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao
2020	A*	`conf`	Deep Local Binary Coding for Person Re-Identification by Delving into the Details. ACM Multimedia Jiaxin Chen, Jie Qin, Yichao Yan, Lei Huang, Li Liu, Fan Zhu, Ling Shao
2020	J	`jnl`	Deep quantization generative networks. Pattern Recognit. Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Lei Huang, Mengyang Yu, Heng Tao Shen, Ling Shao
2020	J	`jnl`	Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis. CoRR Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao
2020	J	`jnl`	Group Whitening: Balancing Learning Efficiency and Representational Capacity. CoRR Lei Huang, Li Liu, Fan Zhu, Ling Shao
2020	—	`conf`	Invertible Zero-Shot Recognition Flows. ECCV (16) Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao
2020	J	`jnl`	Invertible Zero-Shot Recognition Flows. CoRR Yuming Shen, Jie Qin, Lei Huang
2020	—	`conf`	Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs. ECCV (2) Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao
2020	J	`jnl`	Normalization Techniques in Training DNNs: Methodology, Analysis and Application. CoRR Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
2020	A*	`conf`	On the Number of Linear Regions of Convolutional Neural Networks. ICML Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao
2020	J	`jnl`	On the Number of Linear Regions of Convolutional Neural Networks. CoRR Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao
2020	J	`jnl`	Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs. Pattern Recognit. Lei Huang, Xianglong Liu, Jie Qin, Fan Zhu, Li Liu, Ling Shao
2020	J	`jnl`	Slimmable Generative Adversarial Networks. CoRR Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang
2020	J	`jnl`	Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization. CoRR Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao
2020	J	`jnl`	Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction. CoRR Bin Wen, Jie Luo, Xianglong Liu, Lei Huang
2019	A*	`conf`	Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images. CVPR Yi Zhou, Xiaodong He, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao
2019	J	`jnl`	Deformable Tube Network for Action Detection in Videos. CoRR Wei Li, Zehuan Yuan, Dashan Guo, Lei Huang, Xiangzhong Fang, Changhu Wang
2019	—	`conf`	Exploring Dynamic Routing As A Pooling Layer. ICCV Workshops Lei Zhao, Lei Huang
2019	A*	`conf`	Iterative Normalization: Beyond Standardization Towards Efficient Whitening. CVPR Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
2019	J	`jnl`	Iterative Normalization: Beyond Standardization towards Efficient Whitening. CoRR Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
2019	J	`jnl`	Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. CoRR Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao
2018	J	`jnl`	DGCNN: Disordered graph convolutional neural network based on the Gaussian mixture model. Neurocomputing Bo Wu, Yang Liu, Bo Lang, Lei Huang
2018	A*	`conf`	Decorrelated Batch Normalization. CVPR Lei Huang, Dawei Yang, Bo Lang, Jia Deng
2018	J	`jnl`	Decorrelated Batch Normalization. CoRR Lei Huang, Dawei Yang, Bo Lang, Jia Deng
2018	A*	`conf`	Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. AAAI Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li
2017	A*	`conf`	Centered Weight Normalization in Accelerating Training of Deep Neural Networks. ICCV Lei Huang, Xianglong Liu, Yang Liu, Bo Lang, Dacheng Tao
2017	J	`jnl`	DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model. CoRR Bo Wu, Yang Liu, Bo Lang, Lei Huang
2017	—	`conf`	Learning Joint Multimodal Representation Based on Multi-fusion Deep Neural Networks. ICONIP (2) Zepeng Gu, Bo Lang, Tongyu Yue, Lei Huang
2017	J	`jnl`	Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. CoRR Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Bo Li
2017	J	`jnl`	Projection Based Weight Normalization for Deep Neural Networks. CoRR Lei Huang, Xianglong Liu, Bo Lang, Bo Li
2016	J	`jnl`	A novel rotation adaptive object detection method based on pair Hough model. Neurocomputing Yang Liu, Lei Huang, Xianglong Liu, Bo Lang
2016	B	`conf`	Efficient segmentation for Region-based Image Retrieval using Edge Integrated Minimum Spanning Tree. ICPR Yang Liu, Lei Huang, Siqi Wang, Xianglong Liu, Bo Lang
2016	B	`conf`	Full-duplex based successive interference cancellation in heterogeneous networks. PIMRC Lei Huang, Shengqian Han, Chenyang Yang, Gang Wang
2016	J	`jnl`	Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. IEEE Trans. Image Process. Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao
2015	A*	`conf`	Multi-View Complementary Hash Tables for Nearest Neighbor Search. ICCV Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang
2015	J	`jnl`	Online semi-supervised annotation via proxy-based local consistency propagation. Neurocomputing Lei Huang, Xianglong Liu, Binqiang Ma, Bo Lang
2014	A	`conf`	Graph-based active semi-supervised learning: A new perspective for relieving multi-class annotation labor. ICME Lei Huang, Yang Liu, Xianglong Liu, Xindong Wang, Bo Lang
2014	J	`jnl`	MIAPS: A web-based system for remotely accessing and presenting medical images. Comput. Methods Programs Biomed. Hualei Shen, Dianfu Ma, Yongwang Zhao, Hailong Sun, Sujun Sun, Rongwei Ye, Lei Huang, Bo Lang, Yan Sun
2014	C	`conf`	Ontology-based Concept Similarity Integrating Image Semantic and Visual Information. FedCSIS Mengyun Wang, Xianglong Liu, Lei Huang, Bo Lang, Hailiang Yu
2014	A*	`conf`	Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search. ACM Multimedia Tianxu Ji, Xianglong Liu, Cheng Deng, Lei Huang, Bo Lang
2013	A	`conf`	Efficient semi-supervised annotation with Proxy-based Local Consistency Propagation. ICME Lei Huang, Yang Wang, Xianglong Liu, Bo Lang
2012	—	`conf`	BUAA AUDR at ImageCLEF 2012 Photo Annotation Task. CLEF (Online Working Notes/Labs/Workshop) Lei Huang, Yang Liu