Binbin Lin

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 58

Top Topics

Dictionary Learning

Synaptic Plasticity

Object Detection

Top Venues

Publications

Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction. CoRR (2024)
Ping Li, Yu Zhang, Li Yuan, Huaxin Xiao, Binbin Lin, Xianghua Xu
Efficient Long-Short Temporal Attention network for unsupervised Video Object Segmentation. Pattern Recognit. 146 (2024)
Minghao Chen, Yihang Li, Yanting Yang, Shiyu Yu, Binbin Lin, Xiaofei He
AutoManual: Generating Instruction Manuals by LLM Agents via Interactive Environmental Learning. CoRR (2024)
Wenxiao Wang, Wei Chen, Yicong Luo, Yongliu Long, Zhengkai Lin, Liye Zhang, Binbin Lin, Deng Cai, Xiaofei He
Model Compression and Efficient Inference for Large Language Models: A Survey. CoRR (2024)
Wenxiao Wang, Wei Chen, Qibo Qiu, Long Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wei Liu
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Yanting Yang, Minghao Chen, Qibo Qiu, Jiahao Wu, Wenxiao Wang, Binbin Lin, Ziyu Guan, Xiaofei He
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts. CoRR (2024)
Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection. CoRR (2024)
Ruisi Zhao, Mingming Li, Zheng Yang, Binbin Lin, Xiaohui Zhong, Xiaobo Ren, Deng Cai, Boxi Wu
Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing. AAAI (2024)
Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training. AAAI (2024)
Chenxi Huang, Yuenan Hou, Weicai Ye, Di Huang, Xiaoshui Huang, Binbin Lin, Deng Cai, Wanli Ouyang
NeRF-Det++: Incorporating Semantic Cues and Perspective-aware Depth Supervision for Indoor Multi-View 3D Detection. CoRR (2024)
Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. CoRR (2024)
Ping Li, Junjie Chen, Binbin Lin, Xianghua Xu
Residual spatial fusion network for RGB-thermal semantic segmentation. Neurocomputing 595 (2024)
Haoran Cheng, Liang Peng, Zheng Yang, Binbin Lin, Xiaofei He, Boxi Wu
Temporal Feature Fusion for 3D Detection in Monocular Video. IEEE Trans. Image Process. 33 (2024)
Xiaopei Wu, Yuenan Hou, Xiaoshui Huang, Binbin Lin, Tong He, Xinge Zhu, Yuexin Ma, Boxi Wu, Haifeng Liu, Deng Cai, Wanli Ouyang
TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation. CoRR (2024)
Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. AAAI (2024)
Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu
Towards In-Distribution Compatible Out-of-Distribution Detection. AAAI (2023)
Ping Li, Yu Zhang, Li Yuan, Huaxin Xiao, Binbin Lin, Xianghua Xu
Efficient Long-Short Temporal Attention Network for Unsupervised Video Object Segmentation. CoRR (2023)
Ping Li, Junjie Chen, Binbin Lin, Xianghua Xu
Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation. CoRR (2023)
Hengjia Li, Tu Zheng, Zhihao Chi, Zheng Yang, Wenxiao Wang, Boxi Wu, Binbin Lin, Deng Cai
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding. CoRR (2023)
Honghui Yang, Wenxiao Wang, Minghao Chen, Binbin Lin, Tong He, Hua Chen, Xiaofei He, Wanli Ouyang
PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer. CoRR (2023)
Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai, Xiaofei He
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment. CoRR (2023)
Honghui Yang, Sha Zhang, Di Huang, Xiaoyang Wu, Haoyi Zhu, Tong He, Shixiang Tang, Hengshuang Zhao, Qibo Qiu, Binbin Lin, Xiaofei He, Wanli Ouyang
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving. CoRR (2023)
Chenxi Huang, Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai
Neural Collapse Inspired Federated Learning with Non-iid Data. CoRR (2023)
Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai
One-shot Implicit Animatable Avatars with Model-based Priors. ICCV (2023)
Honghui Yang, Tong He, Jiaheng Liu, Hua Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wanli Ouyang
GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds. CVPR (2023)
Wenxiao Wang, Wei Chen, Qibo Qiu, Long Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wei Liu
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-scale Attention. CoRR (2023)
Zhihao Chi, Tu Zheng, Hengjia Li, Zheng Yang, Boxi Wu, Binbin Lin, Deng Cai
NormKD: Normalized Logits for Knowledge Distillation. CoRR (2023)
Minghao Chen, Zepeng Gao, Shuai Zhao, Qibo Qiu, Wenxiao Wang, Binbin Lin, Xiaofei He
A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation. CoRR (2023)
Honghui Yang, Wenxiao Wang, Minghao Chen, Binbin Lin, Tong He, Hua Chen, Xiaofei He, Wanli Ouyang
PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer. CVPR (2023)
Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training. CoRR (2023)
Chenxi Huang, Tong He, Haidong Ren, Wenxiao Wang, Binbin Lin, Deng Cai
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection. IEEE Trans. Image Process. 32 (2023)
Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. CVPR (2023)
Binbin Lin, Lei Zou, Heng Cai, Mingzheng Yang, Bing Zhou
Sensing the Pulse of the Pandemic: Geovisualizing the Demographic Disparities of Public Sentiment toward COVID-19 through Social Media. CoRR (2023)
David A. Santos, Binbin Lin, Justin L. Andrews
Data science enables X-ray vision. Patterns 3 (12) (2022)
Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai
One-shot Implicit Animatable Avatars with Model-based Priors. CoRR (2022)
Mingzheng Yang, Lei Zou, Heng Cai, Yi Qiang, Binbin Lin, Bing Zhou, Joynal Abedin, Debayan Mandal
Spatial-Temporal Land Loss Modeling and Simulation in a Vulnerable Coast: A Case Study in Coastal Louisiana. Remote. Sens. 14 (4) (2022)
Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, Wei Liu
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention. ICLR (2022)
David A. Santos, Justin L. Andrews, Binbin Lin, Luis R. De Jesus, Yuting Luo, Savannah Pas, Michelle A. Gross, Luis Carillo, Peter Stein, Yu Ding, Bai-Xiang Xu, Sarbajit Banerjee
Multivariate hyperspectral data analytics across length scales to probe compositional, phase, and strain heterogeneities in electrode materials. Patterns 3 (12) (2022)
Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. CoRR (2022)
Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu
Towards In-distribution Compatibility in Out-of-distribution Detection. CoRR (2022)
Honghui Yang, Tong He, Jiaheng Liu, Hua Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wanli Ouyang
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds. CoRR (2022)
Xiaopei Wu, Yang Zhao, Liang Peng, Hua Chen, Xiaoshui Huang, Binbin Lin, Haifeng Liu, Deng Cai, Wanli Ouyang
Boosting Semi-Supervised 3D Object Detection with Semi-Sampling. CoRR (2022)
Bing Zhou, Lei Zou, Ali Mostafavi, Binbin Lin, Mingzheng Yang, Nasir G. Gharaibeh, Heng Cai, Joynal Abedin, Debayan Mandal
VictimFinder: Harvesting rescue requests in disaster response from social media with BERT. Comput. Environ. Urban Syst. 95 (2022)
Binbin Lin, Lei Zou, Nick Duffield, Ali Mostafavi, Heng Cai, Bing Zhou, Jian Tao, Mingzheng Yang, Debayan Mandal, Joynal Abedin
Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media. Int. J. Digit. Earth 15 (1) (2022)
Chenxi Huang, Tong He, Haidong Ren, Wenxiao Wang, Binbin Lin, Deng Cai
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection. CoRR (2022)
Binbin Lin, Weihao Wang, Jing Guo, Zesong Fei
Outage Performance for UAV Communications under Imperfect Beam Alignment: A Stochastic Geometry Approach. ICCT (2021)
Binbin Lin, Lei Zou, Nick Duffield, Ali Mostafavi, Heng Cai, Bing Zhou, Jian Tao, Mingzheng Yang, Debayan Mandal, Joynal Abedin
Revealing the Global Linguistic and Geographical Disparities of Public Awareness to Covid-19 Outbreak through Social Media. CoRR (2021)
Milad Makkie, Xiang Li, Shannon Quinn, Binbin Lin, Jieping Ye, Geoffrey Mon, Tianming Liu
A Distributed Computing Platform for fMRI Big Data Analytics. IEEE Trans. Big Data 5 (2) (2019)
Zhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan, Wei Fan, Jieping Ye
Pruning Decision Trees via Max-Heap Projection. SDM (2017)
Hemanth Venkateswara, Prasanth Lade, Binbin Lin, Jieping Ye, Sethuraman Panchanathan
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection. CoRR (2017)
Yu Zhao, Xiang Li, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu
Template-guided Functional Network Identification via Supervised Dictionary Learning. ISBI (2017)
Jinglei Lv, Binbin Lin, Qingyang Li, Wei Zhang, Yu Zhao, Xi Jiang, Lei Guo, Junwei Han, Xintao Hu, Christine Cong Guo, Jieping Ye, Tianming Liu
Task fMRI data analysis based on supervised stochastic coordinate coding. Medical Image Anal. 38 (2017)
Milad Makkie, Xiang Li, Binbin Lin, Jieping Ye, Mojtaba Sedigh Fazli, Tianming Liu, Shannon Quinn
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics. CoRR (2017)
Xiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn
Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis. KDD (2016)
Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn, Binbin Lin, Jieping Ye
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics. IEEE BigData (2016)
Dajiang Zhu, Binbin Lin, Joshua Faskowitz, Jieping Ye, Paul M. Thompson
Embedded sparse representation of fMRI data via group-wise dictionary optimization. Medical Imaging: Image Processing (2016)
Wei Zhao, Zheng Liu, Ziyu Guan, Binbin Lin, Deng Cai
Orthogonal Projective Sparse Coding for image representation. Neurocomputing 173 (2016)
Xiang Li, Binbin Lin, Jinglei Lv, Jieping Ye, Tianming Liu
Modeling functional network dynamics via multi-scale dictionary learning and network continuums. ISBI (2016)
Hemanth Venkateswara, Prasanth Lade, Binbin Lin, Jieping Ye, Sethuraman Panchanathan
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection. ICDM (2015)
Deepak Kadetotad, Zihan Xu, Abinash Mohanty, Pai-Yu Chen, Binbin Lin, Jieping Ye, Sarma B. K. Vrudhula, Shimeng Yu, Yu Cao, Jae-sun Seo
Parallel Architecture With Resistive Crosspoint Array for Dictionary Learning Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 5 (2) (2015)
Tao Yang, Xinlin Zhao, Binbin Lin, Tao Zeng, Shuiwang Ji, Jieping Ye
Automated Gene Expression Pattern Annotation in the Mouse Brain. Pacific Symposium on Biocomputing (2015)
Zhi Nie, Tao Yang, Yashu Liu, Binbin Lin, Qingyang Li, Vaibhav A. Narayan, Gayle M. Wittenberg, Jieping Ye
Melancholic Depression Prediction by Identifying Representative Features in Metabolic and Microarray Profiles with Missing Values. Pacific Symposium on Biocomputing (2015)
Pai-Yu Chen, Binbin Lin, I-Ting Wang, Tuo-Hung Hou, Jieping Ye, Sarma B. K. Vrudhula, Jae-sun Seo, Yu Cao, Shimeng Yu
Mitigating Effects of Non-ideal Synaptic Device Characteristics for On-chip Learning. ICCAD (2015)
Jinglei Lv, Binbin Lin, Wei Zhang, Xi Jiang, Xintao Hu, Junwei Han, Lei Guo, Jieping Ye, Tianming Liu
Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding. MICCAI (1) (2015)
Pai-Yu Chen, Deepak Kadetotad, Zihan Xu, Abinash Mohanty, Binbin Lin, Jieping Ye, Sarma B. K. Vrudhula, Jae-sun Seo, Yu Cao, Shimeng Yu
Technology-design co-optimization of resistive cross-point array for accelerating learning algorithms on chip. DATE (2015)
Deepak Kadetotad, Zihan Xu, Abinash Mohanty, Pai-Yu Chen, Binbin Lin, Jieping Ye, Sarma B. K. Vrudhula, Shimeng Yu, Yu Cao, Jae-sun Seo
Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning. BioCAS (2014)
Binbin Lin, Qingyang Li, Qian Sun, Ming-Jun Lai, Ian Davidson, Wei Fan, Jieping Ye
Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation. CoRR (2014)
Binbin Lin, Ji Yang, Xiaofei He, Jieping Ye
Geodesic Distance Function Learning via Heat Flow on Vector Fields. ICML (2014)
Zihan Xu, Abinash Mohanty, Pai-Yu Chen, Deepak Kadetotad, Binbin Lin, Jieping Ye, Sarma B. K. Vrudhula, Shimeng Yu, Jae-sun Seo, Yu Cao
Parallel Programming of Resistive Cross-point Array for Synaptic Plasticity. BICA (2014)
Binbin Lin, Ji Yang, Xiaofei He, Jieping Ye
Geodesic Distance Function Learning via Heat Flow on Vector Fields. CoRR (2014)
Ji Yang, Bin Xu, Binbin Lin, Xiaofei He
Multi-Query Parallel Field Ranking for image retrieval. Neurocomputing 135 (2014)
Binbin Lin, Xiaofei He, Chiyuan Zhang, Ming Ji
Parallel vector field embedding. J. Mach. Learn. Res. 14 (1) (2013)
Xiangbo Mao, Binbin Lin, Deng Cai, Xiaofei He, Jian Pei
Parallel field alignment for cross media retrieval. ACM Multimedia (2013)
Ming Ji, Binbin Lin, Xiaofei He, Deng Cai, Jiawei Han
Parallel Field Ranking. ACM Trans. Knowl. Discov. Data 7 (3) (2013)
Binbin Lin, Sen Yang, Chiyuan Zhang, Jieping Ye, Xiaofei He
Multi-task Vector Field Learning. NIPS (2012)
Ming Ji, Binbin Lin, Xiaofei He, Deng Cai, Jiawei Han
Parallel field ranking. KDD (2012)
Ming Ji, Tianbao Yang, Binbin Lin, Rong Jin, Jiawei Han
A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound. ICML (2012)
Binbin Lin, Chiyuan Zhang, Xiaofei He
Semi-supervised Regression via Parallel Field Regularization. NIPS (2011)
Guanhong Yao, Wei Hua, Binbin Lin, Deng Cai
Kernel approximately harmonic projection. Neurocomputing 74 (17) (2011)
Binbin Lin, Chiyuan Zhang, Xiaofei He
Orthogonal Projection Analysis. IScIDE (2011)
Jianchao Tang, Guoji Zhang, Binbin Lin, Bixi Zhang
A Hybrid PSO/GA Algorithm for Job Shop Scheduling Problem. ICSI (1) (2010)
Binbin Lin, Xiaofei He, Yuan Zhou, Ligang Liu, Ke Lu
Approximately harmonic projection: Theoretical analysis and an algorithm. Pattern Recognit. 43 (10) (2010)
Ligang Liu, Lei Zhang, Binbin Lin, Guojin Wang
Fast approach for computing roots of polynomials using cubic clipping. Comput. Aided Geom. Des. 26 (5) (2009)