Lin, Binbin

28 publications

ICLR 2025 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

NeurIPS 2025 GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models Zhanwei Zhang, Kaiyuan Liu, Junjie Liu, Wenxiao Wang, Binbin Lin, Liang Xie, Chen Shen, Deng Cai

AAAI 2025 STraj: Self-Training for Bridging the Cross-Geography Gap in Trajectory Prediction Zhanwei Zhang, Minghao Chen, Zhihong Gu, Xinkui Zhao, Zheng Yang, Binbin Lin, Deng Cai, Wenxiao Wang

NeurIPS 2025 TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs Yuxiang Zhang, Zhengxu Yu, Weihang Pan, Zhongming Jin, Qiang Fu, Deng Cai, Binbin Lin, Jieping Ye

ECCV 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

NeurIPS 2024 AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning Minghao Chen, Yihang Li, Yanting Yang, Shiyu Yu, Binbin Lin, Xiaofei He

NeurIPS 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

NeurIPS 2024 Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, Jieping Ye

ICML 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

IJCAI 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

NeurIPS 2024 Low Precision Local Training Is Enough for Federated Learning Zhiwei Li, Yiqiu Li, Binbin Lin, Zhongming Jin, Weizhong Zhang

CVPR 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

AAAI 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

CVPR 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

AAAI 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

AAAI 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

CVPR 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

CVPR 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

CVPR 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

ICCV 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

CVPR 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

AAAI 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

ICLR 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

ICML 2014 Geodesic Distance Function Learning via Heat Flow on Vector Fields Binbin Lin, Ji Yang, Xiaofei He, Jieping Ye

JMLR 2013 Parallel Vector Field Embedding Binbin Lin, Xiaofei He, Chiyuan Zhang, Ming Ji

ICML 2012 A Simple Algorithm for Semi-Supervised Learning with Improved Generalization Error Bound Ming Ji, Tianbao Yang, Binbin Lin, Rong Jin, Jiawei Han

NeurIPS 2012 Multi-Task Vector Field Learning Binbin Lin, Sen Yang, Chiyuan Zhang, Jieping Ye, Xiaofei He

NeurIPS 2011 Semi-Supervised Regression via Parallel Field Regularization Binbin Lin, Chiyuan Zhang, Xiaofei He