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2020 – today
- 2022
[i26]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo:
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. CoRR abs/2201.02307 (2022)- [i25]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen:
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction. CoRR abs/2201.02435 (2022) - [i24]Houpu Yao, Jiazhou Wang, Peng Dai, Liefeng Bo, Yanqing Chen:
An Efficient and Robust System for Vertically Federated Random Forest. CoRR abs/2201.10761 (2022) - [i23]Akash Gupta, Jingen Liu, Liefeng Bo, Amit K. Roy-Chowdhury, Tao Mei:
A-ACT: Action Anticipation through Cycle Transformations. CoRR abs/2204.00942 (2022) - 2021
- [j11]Kai Xu
, Longyin Wen, Guorong Li, Honggang Qi, Liefeng Bo, Qingming Huang:
Learning Self-Supervised Space-Time CNN for Fast Video Style Transfer. IEEE Trans. Image Process. 30: 2501-2512 (2021) - [c66]Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. AAAI 2021: 4115-4122 - [c65]Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang:
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. AAAI 2021: 4123-4130 - [c64]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI 2021: 4486-4493 - [c63]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. AAAI 2021: 15008-15015 - [c62]Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo:
Social Recommendation with Self-Supervised Metagraph Informax Network. CIKM 2021: 1160-1169 - [c61]Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. CVPR 2021: 7812-7821 - [c60]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo:
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. ICDE 2021: 1931-1936 - [c59]Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo:
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. ICDE 2021: 2039-2044 - [c58]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen:
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. IJCAI 2021: 1631-1637 - [c57]Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang:
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. KDD 2021: 3917-3927 - [c56]Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo:
Graph Meta Network for Multi-Behavior Recommendation. SIGIR 2021: 757-766 - [i22]Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen:
Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events. CoRR abs/2101.00822 (2021) - [i21]Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen:
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation. CoRR abs/2101.00828 (2021) - [i20]Guanghan Ning, Guang Chen, Chaowei Tan, Si Luo, Liefeng Bo, Heng Huang:
Data Augmentation for Object Detection via Differentiable Neural Rendering. CoRR abs/2103.02852 (2021) - [i19]Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. CoRR abs/2105.02440 (2021) - [i18]Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Heng Huang, Peng Dai, Liefeng Bo, Yanqing Chen:
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform. CoRR abs/2107.04129 (2021) - [i17]Jiyang Yu, Jingen Liu, Liefeng Bo, Tao Mei:
Memory-Augmented Non-Local Attention for Video Super-Resolution. CoRR abs/2108.11048 (2021) - [i16]Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang:
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. CoRR abs/2109.12519 (2021) - [i15]Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo:
Social Recommendation with Self-Supervised Metagraph Informax Network. CoRR abs/2110.03958 (2021) - [i14]Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo:
Graph Meta Network for Multi-Behavior Recommendation. CoRR abs/2110.03969 (2021) - [i13]Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. CoRR abs/2110.03987 (2021) - [i12]Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang:
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. CoRR abs/2110.03996 (2021) - [i11]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. CoRR abs/2110.04000 (2021) - [i10]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo:
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. CoRR abs/2110.04002 (2021) - [i9]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. CoRR abs/2110.04038 (2021) - 2020
- [c55]Zhenxing Chen, Bo Liu, Meiqing Wang, Peng Dai, Jun Lv, Liefeng Bo:
Generative Adversarial Attributed Network Anomaly Detection. CIKM 2020: 1989-1992 - [c54]Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, Liefeng Bo:
Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation. ECAI 2020: 545-552 - [c53]Guang Chen, Shiwen Shen, Longyin Wen, Si Luo, Liefeng Bo:
Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering. ICRA 2020: 10052-10058 - [c52]Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo:
Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. IJCAI 2020: 4359-4365 - [c51]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo:
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. SIGIR 2020: 2397-2406 - [i8]Guang Chen, Shiwen Shen, Longyin Wen, Si Luo, Liefeng Bo:
Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering. CoRR abs/2005.13131 (2020)
2010 – 2019
- 2019
- [c50]Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo:
Deep Dynamic Fusion Network for Traffic Accident Forecasting. CIKM 2019: 2673-2681 - [c49]Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang:
Spatiotemporal CNN for Video Object Segmentation. CVPR 2019: 1379-1388 - [c48]Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei:
ScratchDet: Training Single-Shot Object Detectors From Scratch. CVPR 2019: 2268-2277 - [c47]Xinyao Wang, Liefeng Bo, Fuxin Li:
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression. ICCV 2019: 6970-6980 - [c46]Longyin Wen, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Ajit Jadhav, Bing Dong, Brejesh Lall, Chang Liu, Chunhui Zhang, Dong Wang, Pengfei Zhu, Feng Ni, Filiz Bunyak, Gaoang Wang, Guizhong Liu, Guna Seetharaman, Guorong Li, Håkan Ardö, Haotian Zhang, Hongyang Yu, Huchuan Lu, Dawei Du, Jenq-Neng Hwang, Jiatong Mu, Jinrong Hu, Kannappan Palaniappan, Long Chen, Lu Ding, Martin Lauer, Mikael G. Nilsson, Noor M. Al-Shakarji, Prerana Mukherjee, Xiao Bian, Qingming Huang, Robert Laganière, Shuhao Chen, Siyang Pan, Vinay Kaushik, Wei Shi, Wei Tian, Weiqiang Li, Xin Chen, Xinyu Zhang, Haibin Ling, Yanting Zhang, Yanyun Zhao, Yong Wang, Yuduo Song, Yuehan Yao, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhihang Tong, Zhipeng Luo, Qinghua Hu, Zhuojin Sun, Jiayu Zheng, Tao Peng, Xinyao Wang:
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCV Workshops 2019: 189-198 - [c45]Dawei Du, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bo Han, Chunhui Zhang, Guizhong Liu, Han Wu, Hao Wen, Haoran Wang, Pengfei Zhu, Jiaqing Fan, Jie Chen, Jie Gao, Jie Zhang, Jinghao Zhou, Jinliu Zhou, Jinwang Wang, Jiuqing Wan, Josef Kittler, Kaihua Zhang, Longyin Wen, Kaiqi Huang, Kang Yang, Kangkai Zhang, Lianghua Huang, Lijun Zhou, Lingling Shi, Lu Ding, Ning Wang, Peng Wang, Qintao Hu, Xiao Bian, Robert Laganière, Ruiyan Ma, Ruohan Zhang, Shanrong Zou, Shengwei Zhao, Shengyang Li, Shengyin Zhu, Shikun Li, Shiming Ge, Shiyu Xuan, Haibin Ling, Tianyang Xu, Ting He, Wei Shi, Wei Song, Weiming Hu, Wenhua Zhang, Wenjun Zhu, Xi Yu, Xianhai Wang, Xiaojun Wu, Qinghua Hu, Xiaotong Li, Xiaoxue Li, Xiaoyue Yin, Xin Zhang, Xin Zhao, Xizhe Xue, Xu Lei, Xueyuan Yang, Yanjie Gao, Yanyun Zhao, Jiayu Zheng, Yinda Xu, Ying Li, Yong Wang, Yong Yang, Yuting Yang, Yuxuan Li, Zeyu Wang, Zhen-Hua Feng, Zhipeng Zhang, Zhiyong Yu, Tao Peng, Zhizhao Duan, Zhuojin Sun, Xinyao Wang:
VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results. ICCV Workshops 2019: 199-212 - [c44]Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Ling, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong:
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results. ICCV Workshops 2019: 213-226 - [c43]Pengfei Zhu, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bing Dong, Dheeraj Reddy Pailla, Feng Ni, Guangyu Gao, Guizhong Liu, Haitao Xiong, Dawei Du, Jing Ge, Jingkai Zhou, Jinrong Hu, Lin Sun, Long Chen, Martin Lauer, Qiong Liu, Sai Saketh Chennamsetty, Ting Sun, Tong Wu, Longyin Wen, Varghese Alex Kollerathu, Wei Tian, Weida Qin, Xier Chen, Xingjie Zhao, Yanchao Lian, Yinan Wu, Ying Li, Yingping Li, Yiwen Wang, Xiao Bian, Yuduo Song, Yuehan Yao, Yunfeng Zhang, Zhaoliang Pi, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhipeng Luo, Ziming Liu, Haibin Ling, Qinghua Hu, Tao Peng, Jiayu Zheng, Xinyao Wang:
VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results. ICCV Workshops 2019: 227-235 - [i7]Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang:
Spatiotemporal CNN for Video Object Segmentation. CoRR abs/1904.02363 (2019) - [i6]Xinyao Wang, Liefeng Bo, Fuxin Li:
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression. CoRR abs/1904.07399 (2019) - [i5]Yuxiang Ren, Bo Liu, Chao Huang, Peng Dai, Liefeng Bo, Jiawei Zhang:
Heterogeneous Deep Graph Infomax. CoRR abs/1911.08538 (2019) - [i4]Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network. CoRR abs/1912.01811 (2019) - [i3]Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo:
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. CoRR abs/1912.11113 (2019) - 2018
- [i2]Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei:
ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch. CoRR abs/1810.08425 (2018) - 2014
- [j10]Liefeng Bo, Xiaofeng Ren, Dieter Fox:
Learning hierarchical sparse features for RGB-(D) object recognition. Int. J. Robotics Res. 33(4): 581-599 (2014) - [c42]Cynthia Matuszek, Liefeng Bo, Luke Zettlemoyer, Dieter Fox:
Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions. AAAI 2014: 2556-2563 - [c41]Marianna Madry, Liefeng Bo, Danica Kragic, Dieter Fox:
ST-HMP: Unsupervised Spatio-Temporal feature learning for tactile data. ICRA 2014: 2262-2269 - [c40]Kevin Lai, Liefeng Bo, Dieter Fox:
Unsupervised feature learning for 3D scene labeling. ICRA 2014: 3050-3057 - [c39]Yuyin Sun, Liefeng Bo, Dieter Fox:
Learning to identify new objects. ICRA 2014: 3165-3172 - [c38]Michael Ruhnke, Liefeng Bo, Dieter Fox, Wolfram Burgard:
Hierarchical sparse coded surface models. ICRA 2014: 6238-6243 - 2013
- [c37]Michael Ruhnke, Liefeng Bo, Dieter Fox, Wolfram Burgard:
Compact RGBD Surface Models Based on Sparse Coding. AAAI 2013 - [c36]Liefeng Bo, Xiaofeng Ren, Dieter Fox:
Multipath Sparse Coding Using Hierarchical Matching Pursuit. CVPR 2013: 660-667 - [c35]Yuyin Sun, Liefeng Bo, Dieter Fox:
Attribute based object identification. ICRA 2013: 2096-2103 - [p2]Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox:
RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark. Consumer Depth Cameras for Computer Vision 2013: 167-192 - 2012
- [c34]Miro Enev, Jaeyeon Jung, Liefeng Bo, Xiaofeng Ren, Tadayoshi Kohno:
SensorSift: balancing sensor data privacy and utility in automated face understanding. ACSAC 2012: 149-158 - [c33]Xiaofeng Ren, Liefeng Bo, Dieter Fox:
RGB-(D) scene labeling: Features and algorithms. CVPR 2012: 2759-2766 - [c32]Cynthia Matuszek, Nicholas FitzGerald, Luke Zettlemoyer, Liefeng Bo, Dieter Fox:
A Joint Model of Language and Perception for Grounded Attribute Learning. ICML 2012 - [c31]Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox:
Detection-based object labeling in 3D scenes. ICRA 2012: 1330-1337 - [c30]Liefeng Bo, Xiaofeng Ren, Dieter Fox:
Unsupervised Feature Learning for RGB-D Based Object Recognition. ISER 2012: 387-402 - [c29]Xiaofeng Ren, Liefeng Bo:
Discriminatively Trained Sparse Code Gradients for Contour Detection. NIPS 2012: 593-601 - [c28]Shulin Yang, Liefeng Bo, Jue Wang, Linda G. Shapiro:
Unsupervised Template Learning for Fine-Grained Object Recognition. NIPS 2012: 3131-3139 - [i1]Liefeng Bo, Cristian Sminchisescu:
Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression. CoRR abs/1206.3238 (2012) - 2011
- [c27]Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox:
A Scalable Tree-Based Approach for Joint Object and Pose Recognition. AAAI 2011 - [c26]Diane Hu, Liefeng Bo, Xiaofeng Ren:
Toward Robust Material Recognition for Everyday Objects. BMVC 2011: 1-11 - [c25]Liefeng Bo, Kevin Lai, Xiaofeng Ren, Dieter Fox:
Object recognition with hierarchical kernel descriptors. CVPR 2011: 1729-1736 - [c24]Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox:
A large-scale hierarchical multi-view RGB-D object dataset. ICRA 2011: 1817-1824 - [c23]Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox:
Sparse distance learning for object recognition combining RGB and depth information. ICRA 2011: 4007-4013 - [c22]Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc Peter Deisenroth, Liefeng Bo, Robert Chu, Mike Kung, Louis LeGrand, Joshua R. Smith, Dieter Fox:
Gambit: An autonomous chess-playing robotic system. ICRA 2011: 4291-4297 - [c21]Liefeng Bo, Xiaofeng Ren, Dieter Fox:
Depth kernel descriptors for object recognition. IROS 2011: 821-826 - [c20]Liefeng Bo, Xiaofeng Ren, Dieter Fox:
Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms. NIPS 2011: 2115-2123 - [p1]Cristian Sminchisescu, Liefeng Bo, Catalin Ionescu, Atul Kanaujia:
Feature-Based Pose Estimation. Visual Analysis of Humans 2011: 225-251 - 2010
- [j9]Liefeng Bo, Cristian Sminchisescu:
Twin Gaussian Processes for Structured Prediction. Int. J. Comput. Vis. 87(1-2): 28-52 (2010) - [c19]Liefeng Bo, Xiaofeng Ren, Dieter Fox:
Kernel Descriptors for Visual Recognition. NIPS 2010: 244-252
2000 – 2009
- 2009
- [j8]Jin Yuan, Liefeng Bo, Kesheng Wang, Tao Yu:
Adaptive spherical Gaussian kernel in sparse Bayesian learning framework for nonlinear regression. Expert Syst. Appl. 36(2): 3982-3989 (2009) - [c18]Liefeng Bo, Cristian Sminchisescu:
Structured output-associative regression. CVPR 2009: 2403-2410 - [c17]Catalin Ionescu, Liefeng Bo, Cristian Sminchisescu:
Structural SVM for visual localization and continuous state estimation. ICCV 2009: 1157-1164 - [c16]Dong Han, Liefeng Bo, Cristian Sminchisescu:
Selection and context for action recognition. ICCV 2009: 1933-1940 - [c15]Liefeng Bo, Cristian Sminchisescu:
Efficient Match Kernel between Sets of Features for Visual Recognition. NIPS 2009: 135-143 - [c14]Jian Peng, Liefeng Bo, Jinbo Xu:
Conditional Neural Fields. NIPS 2009: 1419-1427 - [c13]Liefeng Bo, Cristian Sminchisescu:
Supervised Spectral Latent Variable Models. AISTATS 2009: 33-40 - 2008
- [j7]Maoguo Gong, Licheng Jiao, Haifeng Du, Liefeng Bo:
Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection. Evol. Comput. 16(2): 225-255 (2008) - [j6]Xiangrong Zhang, Licheng Jiao, Fang Liu, Liefeng Bo, Maoguo Gong:
Spectral Clustering Ensemble Applied to SAR Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 46(7): 2126-2136 (2008) - [j5]Liefeng Bo, Ling Wang, Licheng Jiao:
Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm. IEEE Trans. Neural Networks 19(8): 1446-1455 (2008) - [c12]Liefeng Bo, Cristian Sminchisescu, Atul Kanaujia, Dimitris N. Metaxas:
Fast algorithms for large scale conditional 3D prediction. CVPR 2008 - [c11]Liefeng Bo, Cristian Sminchisescu:
Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression. UAI 2008: 43-52 - 2007
- [j4]Liefeng Bo, Ling Wang, Licheng Jiao:
Recursive Finite Newton Algorithm for Support Vector Regression in the Primal. Neural Comput. 19(4): 1082-1096 (2007) - [j3]Licheng Jiao, Liefeng Bo, Ling Wang:
Fast Sparse Approximation for Least Squares Support Vector Machine. IEEE Trans. Neural Networks 18(3): 685-697 (2007) - [j2]Liefeng Bo, Licheng Jiao, Ling Wang:
Working Set Selection Using Functional Gain for LS-SVM. IEEE Trans. Neural Networks 18(5): 1541-1544 (2007) - [c10]Liefeng Bo, Ling Wang, Licheng Jiao:
Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal. PAKDD 2007: 35-46 - [c9]Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo:
Density-Sensitive Evolutionary Clustering. PAKDD 2007: 507-514 - 2006
- [j1]Liefeng Bo, Ling Wang, Licheng Jiao:
Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-One-Out Cross Validation. Neural Comput. 18(4): 961-978 (2006) - [c8]Ling Wang, Liefeng Bo, Licheng Jiao:
Kernel Uncorrelated Discriminant Analysis for Radar Target Recognition. ICONIP (2) 2006: 404-411 - [c7]Liefeng Bo, Ling Wang, Licheng Jiao:
Sparse Gaussian Processes Using Backward Elimination. ISNN (1) 2006: 1083-1088 - [c6]Ling Wang, Liefeng Bo, Licheng Jiao:
Sparse Kernel Ridge Regression Using Backward Deletion. PRICAI 2006: 365-374 - [c5]Ling Wang, Liefeng Bo, Licheng Jiao:
A Modified K-Means Clustering with a Density-Sensitive Distance Metric. RSKT 2006: 544-551 - 2005
- [c4]Liefeng Bo, Ling Wang, Licheng Jiao:
Training Multi-layer Perceptrons Using MiniMin Approach. CIS (1) 2005: 909-914 - [c3]Liefeng Bo, Ling Wang, Licheng Jiao:
Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error. ISNN (1) 2005: 851-856 - [c2]Liefeng Bo, Ling Wang, Licheng Jiao:
Training Support Vector Machines Using Greedy Stagewise Algorithm. PAKDD 2005: 632-638 - 2004
- [c1]Liefeng Bo, Ling Wang, Licheng Jiao:
Sparse Bayesian Learning Based on an Efficient Subset Selection. ISNN (1) 2004: 264-269
Coauthor Index