Binbin Lin

According to our database, Binbin Lin authored at least 75 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks.

Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao

IEEE Trans. Knowl. Data Eng., November, 2024

CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention.

Wenxiao Wang, Wei Chen, Qibo Qiu, Long Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wei Liu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Efficient Long-Short Temporal Attention network for unsupervised Video Object Segmentation.

Ping Li, Yu Zhang, Li Yuan, Huaxin Xiao, Binbin Lin, Xianghua Xu

Pattern Recognit., February, 2024

Temporal Feature Fusion for 3D Detection in Monocular Video.

Haoran Cheng, Liang Peng, Zheng Yang, Binbin Lin, Xiaofei He, Boxi Wu

IEEE Trans. Image Process., 2024

Residual spatial fusion network for RGB-thermal semantic segmentation.

Ping Li, Junjie Chen, Binbin Lin, Xianghua Xu

Neurocomputing, 2024

SciPIP: An LLM-based Scientific Paper Idea Proposer.

Wenxiao Wang, Lihui Gu, Liye Zhang, Yunxiang Luo, Yi Dai, Chen Shen, Liang Xie, Binbin Lin, Xiaofei He, Jieping Ye

CoRR, 2024

Delving into the Reversal Curse: How Far Can Large Language Models Generalize?

Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye

CoRR, 2024

Depth Any Video with Scalable Synthetic Data.

Honghui Yang, Di Huang, Wei Yin, Chunhua Shen, Haifeng Liu, Xiaofei He, Binbin Lin, Wanli Ouyang, Tong He

CoRR, 2024

AutoManual: Generating Instruction Manuals by LLM Agents via Interactive Environmental Learning.

Minghao Chen, Yihang Li, Yanting Yang, Shiyu Yu, Binbin Lin, Xiaofei He

CoRR, 2024

NeRF-Det++: Incorporating Semantic Cues and Perspective-aware Depth Supervision for Indoor Multi-View 3D Detection.

Chenxi Huang, Yuenan Hou, Weicai Ye, Di Huang, Xiaoshui Huang, Binbin Lin, Deng Cai, Wanli Ouyang

CoRR, 2024

Model Compression and Efficient Inference for Large Language Models: A Survey.

Wenxiao Wang, Wei Chen, Yicong Luo, Yongliu Long, Zhengkai Lin, Liye Zhang, Binbin Lin, Deng Cai, Xiaofei He

CoRR, 2024

G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction.

Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning.

Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts.

Yanting Yang, Minghao Chen, Qibo Qiu, Jiahao Wu, Wenxiao Wang, Binbin Lin, Ziyu Guan, Xiaofei He

Proceedings of the Computer Vision - ECCV 2024, 2024

Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection.

Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

UniPAD: A Universal Pre-Training Paradigm for Autonomous Driving.

Honghui Yang, Sha Zhang, Di Huang, Xiaoyang Wu, Haoyi Zhu, Tong He, Shixiang Tang, Hengshuang Zhao, Qibo Qiu, Binbin Lin, Xiaofei He, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation.

Xiaopei Wu, Yuenan Hou, Xiaoshui Huang, Binbin Lin, Tong He, Xinge Zhu, Yuexin Ma, Boxi Wu, Haifeng Liu, Deng Cai, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing.

Ruisi Zhao, Mingming Li, Zheng Yang, Binbin Lin, Xiaohui Zhong, Xiaobo Ren, Deng Cai, Boxi Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Semi-supervised 3D Object Detection with PatchTeacher and PillarMix.

Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training.

Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection.

Chenxi Huang, Tong He, Haidong Ren, Wenxiao Wang, Binbin Lin, Deng Cai

IEEE Trans. Image Process., 2023

NormKD: Normalized Logits for Knowledge Distillation.

Zhihao Chi, Tu Zheng, Hengjia Li, Zheng Yang, Boxi Wu, Binbin Lin, Deng Cai

CoRR, 2023

A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation.

Minghao Chen, Zepeng Gao, Shuai Zhao, Qibo Qiu, Wenxiao Wang, Binbin Lin, Xiaofei He

CoRR, 2023

Sensing the Pulse of the Pandemic: Geovisualizing the Demographic Disparities of Public Sentiment toward COVID-19 through Social Media.

Binbin Lin, Lei Zou, Heng Cai, Mingzheng Yang, Bing Zhou

CoRR, 2023

APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding.

Hengjia Li, Tu Zheng, Zhihao Chi, Zheng Yang, Wenxiao Wang, Boxi Wu, Binbin Lin, Deng Cai

CoRR, 2023

Neural Collapse Inspired Federated Learning with Non-iid Data.

Chenxi Huang, Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai

CoRR, 2023

General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment.

Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai, Xiaofei He

CoRR, 2023

One-shot Implicit Animatable Avatars with Model-based Priors.

Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds.

Honghui Yang, Tong He, Jiaheng Liu, Hua Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer.

Honghui Yang, Wenxiao Wang, Minghao Chen, Binbin Lin, Tong He, Hua Chen, Xiaofei He, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation.

Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards In-Distribution Compatible Out-of-Distribution Detection.

Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

VictimFinder: Harvesting rescue requests in disaster response from social media with BERT.

Bing Zhou, Lei Zou, Ali Mostafavi, Binbin Lin, Mingzheng Yang, Nasir G. Gharaibeh, Heng Cai, Joynal Abedin, Debayan Mandal

Comput. Environ. Urban Syst., 2022

Spatial-Temporal Land Loss Modeling and Simulation in a Vulnerable Coast: A Case Study in Coastal Louisiana.

Mingzheng Yang, Lei Zou, Heng Cai, Yi Qiang, Binbin Lin, Bing Zhou, Joynal Abedin, Debayan Mandal

Remote. Sens., 2022

Data science enables X-ray vision.

David A. Santos, Binbin Lin, Justin L. Andrews

Patterns, 2022

Multivariate hyperspectral data analytics across length scales to probe compositional, phase, and strain heterogeneities in electrode materials.

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

Patterns, 2022

Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media.

Binbin Lin, Lei Zou, Nick Duffield, Ali Mostafavi, Heng Cai, Bing Zhou, Jian Tao, Mingzheng Yang, Debayan Mandal, Joynal Abedin

Int. J. Digit. Earth, 2022

Boosting Semi-Supervised 3D Object Detection with Semi-Sampling.

Xiaopei Wu, Yang Zhao, Liang Peng, Hua Chen, Xiaoshui Huang, Binbin Lin, Haifeng Liu, Deng Cai, Wanli Ouyang

CoRR, 2022

Towards In-distribution Compatibility in Out-of-distribution Detection.

Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu

CoRR, 2022

CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention.

Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, Wei Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Revealing the Global Linguistic and Geographical Disparities of Public Awareness to Covid-19 Outbreak through Social Media.

Binbin Lin, Lei Zou, Nick Duffield, Ali Mostafavi, Heng Cai, Bing Zhou, Jian Tao, Mingzheng Yang, Debayan Mandal, Joynal Abedin

CoRR, 2021

Outage Performance for UAV Communications under Imperfect Beam Alignment: A Stochastic Geometry Approach.

Binbin Lin, Weihao Wang, Jing Guo, Zesong Fei

Proceedings of the 21st International Conference on Communication Technology, 2021

2019

A Distributed Computing Platform for fMRI Big Data Analytics.

Milad Makkie, Xiang Li, Shannon Quinn, Binbin Lin, Jieping Ye, Geoffrey Mon, Tianming Liu

IEEE Trans. Big Data, 2019

2017

Task fMRI data analysis based on supervised stochastic coordinate coding.

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

Medical Image Anal., 2017

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.

Milad Makkie, Xiang Li, Binbin Lin, Jieping Ye, Mojtaba Sedigh Fazli, Tianming Liu, Shannon Quinn

CoRR, 2017

Pruning Decision Trees via Max-Heap Projection.

Zhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan, Wei Fan, Jieping Ye

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Template-guided Functional Network Identification via Supervised Dictionary Learning.

Yu Zhao, Xiang Li, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Orthogonal Projective Sparse Coding for image representation.

Wei Zhao, Zheng Liu, Ziyu Guan, Binbin Lin, Deng Cai

Neurocomputing, 2016

Embedded sparse representation of fMRI data via group-wise dictionary optimization.

Dajiang Zhu, Binbin Lin, Joshua Faskowitz, Jieping Ye, Paul M. Thompson

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis.

Xiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Modeling functional network dynamics via multi-scale dictionary learning and network continuums.

Xiang Li, Binbin Lin, Jinglei Lv, Jieping Ye, Tianming Liu

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.

Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn, Binbin Lin, Jieping Ye

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Parallel Architecture With Resistive Crosspoint Array for Dictionary Learning Acceleration.

Deepak Kadetotad, Zihan Xu, Abinash Mohanty, Pai-Yu Chen, Binbin Lin, Jieping Ye, Sarma B. K. Vrudhula, Shimeng Yu, Yu Cao, Jae-sun Seo

IEEE J. Emerg. Sel. Topics Circuits Syst., 2015

Automated Gene Expression Pattern Annotation in the Mouse Brain.

Tao Yang, Xinlin Zhao, Binbin Lin, Tao Zeng, Shuiwang Ji, Jieping Ye

Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Melancholic Depression Prediction by Identifying Representative Features in Metabolic and Microarray Profiles with Missing Values.

Zhi Nie, Tao Yang, Yashu Liu, Binbin Lin, Qingyang Li, Vaibhav A. Narayan, Gayle M. Wittenberg, Jieping Ye

Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding.

Jinglei Lv, Binbin Lin, Wei Zhang, Xi Jiang, Xintao Hu, Junwei Han, Lei Guo, Jieping Ye, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Efficient Approximate Solutions to Mutual Information Based Global Feature Selection.

Hemanth Venkateswara, Prasanth Lade, Binbin Lin, Jieping Ye, Sethuraman Panchanathan

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Mitigating Effects of Non-ideal Synaptic Device Characteristics for On-chip Learning.

Pai-Yu Chen, Binbin Lin, I-Ting Wang, Tuo-Hung Hou, Jieping Ye, Sarma B. K. Vrudhula, Jae-sun Seo, Yu Cao, Shimeng Yu

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

Technology-design co-optimization of resistive cross-point array for accelerating learning algorithms on chip.

Pai-Yu Chen, Deepak Kadetotad, Zihan Xu, Abinash Mohanty, Binbin Lin, Jieping Ye, Sarma B. K. Vrudhula, Jae-sun Seo, Yu Cao, Shimeng Yu

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014

Multi-Query Parallel Field Ranking for image retrieval.

Ji Yang, Bin Xu, Binbin Lin, Xiaofei He

Neurocomputing, 2014

Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation.

Binbin Lin, Qingyang Li, Qian Sun, Ming-Jun Lai, Ian Davidson, Wei Fan, Jieping Ye

CoRR, 2014

Geodesic Distance Function Learning via Heat Flow on Vector Fields.

Binbin Lin, Ji Yang, Xiaofei He, Jieping Ye

Proceedings of the 31th International Conference on Machine Learning, 2014

Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning.

Deepak Kadetotad, Zihan Xu, Abinash Mohanty, Pai-Yu Chen, Binbin Lin, Jieping Ye, Sarma B. K. Vrudhula, Shimeng Yu, Yu Cao, Jae-sun Seo

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

Parallel Programming of Resistive Cross-point Array for Synaptic Plasticity.

Zihan Xu, Abinash Mohanty, Pai-Yu Chen, Deepak Kadetotad, Binbin Lin, Jieping Ye, Sarma B. K. Vrudhula, Shimeng Yu, Jae-sun Seo, Yu Cao

Proceedings of the 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014

2013

Parallel Field Ranking.

Ming Ji, Binbin Lin, Xiaofei He, Deng Cai, Jiawei Han

ACM Trans. Knowl. Discov. Data, 2013

Parallel vector field embedding.

Binbin Lin, Xiaofei He, Chiyuan Zhang, Ming Ji

J. Mach. Learn. Res., 2013

Parallel field alignment for cross media retrieval.

Xiangbo Mao, Binbin Lin, Deng Cai, Xiaofei He, Jian Pei

Proceedings of the ACM Multimedia Conference, 2013

2012

Multi-task Vector Field Learning.

Binbin Lin, Sen Yang, Chiyuan Zhang, Jieping Ye, Xiaofei He

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound.

Ming Ji, Tianbao Yang, Binbin Lin, Rong Jin, Jiawei Han

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Kernel approximately harmonic projection.

Guanhong Yao, Wei Hua, Binbin Lin, Deng Cai

Neurocomputing, 2011

Semi-supervised Regression via Parallel Field Regularization.

Binbin Lin, Chiyuan Zhang, Xiaofei He

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Orthogonal Projection Analysis.

Binbin Lin, Chiyuan Zhang, Xiaofei He

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011

2010

Approximately harmonic projection: Theoretical analysis and an algorithm.

Binbin Lin, Xiaofei He, Yuan Zhou, Ligang Liu, Ke Lu

Pattern Recognit., 2010

A Hybrid PSO/GA Algorithm for Job Shop Scheduling Problem.

Jianchao Tang, Guoji Zhang, Binbin Lin, Bixi Zhang

Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

2009

Fast approach for computing roots of polynomials using cubic clipping.

Ligang Liu, Lei Zhang, Binbin Lin, Guojin Wang

Comput. Aided Geom. Des., 2009