Deng Cai

According to our database, Deng Cai authored at least 313 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models.

Yang Yang, Wen Wang, Liang Peng, Chaotian Song, Yao Chen, Hengjia Li, Xiaolong Yang, Qinglin Lu, Deng Cai, Boxi Wu, Wei Liu

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

UniHDA: Towards Universal Hybrid Domain Adaptation of Image Generators.

Hengjia Li, Yang Liu, Yuqi Lin, Zhanwei Zhang, Yibo Zhao, weihang Pan, Tu Zheng, Zheng Yang, Yuchun Jiang, Boxi Wu, Deng Cai

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

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

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

Learning Occupancy for Monocular 3D Object Detection.

Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai

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

Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving.

Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai

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

TeCH: Text-Guided Reconstruction of Lifelike Clothed Humans.

Yangyi Huang, Hongwei Yi, Yuliang Xiu, Tingting Liao, Jiaxiang Tang, Deng Cai, Justus Thies

Proceedings of the International Conference on 3D Vision, 2024

2023

Optimizing traffic efficiency via a reinforcement learning approach based on time allocation.

Chao Xiang, Zhongming Jin, Zhengxu Yu, Xian-Sheng Hua, Yao Hu, Wei Qian, Kaili Zhu, Deng Cai, Xiaofei He

Int. J. Mach. Learn. Cybern., October, 2023

Urban Traffic Light Control via Active Multi-Agent Communication and Supply-Demand Modeling.

Xin Guo, Zhengxu Yu, Pengfei Wang, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

IEEE Trans. Knowl. Data Eng., April, 2023

Neural collapse inspired attraction-repulsion-balanced loss for imbalanced learning.

Liang Xie, Yibo Yang, Deng Cai, Xiaofei He

Neurocomputing, March, 2023

X-View: Non-Egocentric Multi-View 3D Object Detector.

Liang Xie, Guodong Xu, Deng Cai, Xiaofei He

IEEE Trans. Image Process., 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

MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection.

Junkai Xu, Liang Peng, Haoran Cheng, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai

CoRR, 2023

NormKD: Normalized Logits for Knowledge Distillation.

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

CoRR, 2023

AutoTaskFormer: Searching Vision Transformers for Multi-task Learning.

Yang Liu, Shen Yan, Yuge Zhang, Kan Ren, Quanlu Zhang, Zebin Ren, Deng Cai, Mi Zhang

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

LUT-NN: Towards Unified Neural Network Inference by Table Lookup.

Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang

CoRR, 2023

LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup.

Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection.

Junkai Xu, Liang Peng, Haoran Chen, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai

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

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

Apparel-Invariant Feature Learning for Person Re-Identification.

Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xian-Sheng Hua

IEEE Trans. Multim., 2022

LookCom: Learning Optimal Network for Community Detection.

Yixiang Dong, Minnan Luo, Jundong Li, Deng Cai, Qinghua Zheng

IEEE Trans. Knowl. Data Eng., 2022

Toward Better Accuracy-Efficiency Trade-Offs: Divide and Co-Training.

Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu

IEEE Trans. Image Process., 2022

Progressive Transfer Learning.

Zhengxu Yu, Dong Shen, Zhongming Jin, Jianqiang Huang, Deng Cai, Xian-Sheng Hua

IEEE Trans. Image Process., 2022

High Dimensional Similarity Search With Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility.

Cong Fu, Changxu Wang, Deng Cai

IEEE Trans. Pattern Anal. Mach. Intell., 2022

PointCSE: Context-sensitive encoders for efficient 3D object detection from point cloud.

Kuoliang Wu, Guodong Xu, Zili Liu, Haifeng Liu, Deng Cai, Xiaofei He

Int. J. Mach. Learn. Cybern., 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

Domain Reconstruction and Resampling for Robust Salient Object Detection.

Senbo Yan, Liang Peng, Chuer Yu, Zheng Yang, Haifeng Liu, Deng Cai

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection.

Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, Deng Cai

Proceedings of the Tenth International Conference on Learning Representations, 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

Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph.

Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Efficient Adversarial Training on Vision Transformers.

Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection.

Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai

Proceedings of the Computer Vision - ECCV 2022, 2022

Lidar Point Cloud Guided Monocular 3D Object Detection.

Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, Deng Cai

Proceedings of the Computer Vision - ECCV 2022, 2022

CLRNet: Cross Layer Refinement Network for Lane Detection.

Tu Zheng, Yifei Huang, Yang Liu, Wenjian Tang, Zheng Yang, Deng Cai, Xiaofei He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion.

Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification.

Yang Liu, Weifeng Zhang, Chao Xiang, Tu Zheng, Deng Cai, Xiaofei He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning.

Minghao Chen, Fangyun Wei, Chong Li, Deng Cai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SCALoss: Side and Corner Aligned Loss for Bounding Box Regression.

Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network.

Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search.

Deng Cai

IEEE Trans. Knowl. Data Eng., 2021

ES-Net: Erasing Salient Parts to Learn More in Re-Identification.

Dong Shen, Shuai Zhao, Jinming Hu, Hao Feng, Deng Cai, Xiaofei He

IEEE Trans. Image Process., 2021

Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification.

Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai

IEEE Trans. Image Process., 2021

AdaDB: An adaptive gradient method with data-dependent bound.

Liu Yang, Deng Cai

Neurocomputing, 2021

COP: customized correlation-based Filter level pruning method for deep CNN compression.

Wenxiao Wang, Zhengxu Yu, Cong Fu, Deng Cai, Xiaofei He

Neurocomputing, 2021

Self-supervised attention flow for dialogue state tracking.

Boyuan Pan, Yazheng Yang, Bo Li, Deng Cai

Neurocomputing, 2021

TTFNeXt for real-time object detection.

Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai

Neurocomputing, 2021

Learning to Caricature via Semantic Shape Transform.

Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang

Int. J. Comput. Vis., 2021

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

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

CoRR, 2021

Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification.

Yang Liu, Weifeng Zhang, Chao Xiang, Tu Zheng, Deng Cai

CoRR, 2021

Attacking Adversarial Attacks as A Defense.

Boxi Wu, Heng Pan, Li Shen, Jindong Gu, Shuai Zhao, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

CoRR, 2021

Discriminative-Generative Dual Memory Video Anomaly Detection.

Xin Guo, Zhongming Jin, Chong Chen, Helei Nie, Jianqiang Huang, Deng Cai, Xiaofei He, Xiansheng Hua

CoRR, 2021

Lidar Point Cloud Guided Monocular 3D Object Detection.

Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Deng Cai

CoRR, 2021

OCM3D: Object-Centric Monocular 3D Object Detection.

Liang Peng, Fei Liu, Senbo Yan, Xiaofei He, Deng Cai

CoRR, 2021

SparsePoint: Fully End-to-End Sparse 3D Object Detector.

Zili Liu, Guodong Xu, Honghui Yang, Haifeng Liu, Deng Cai

CoRR, 2021

Do Wider Neural Networks Really Help Adversarial Robustness?

Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TopNet: Learning from Neural Topic Model to Generate Long Stories.

Yazheng Yang, Boyuan Pan, Deng Cai, Huan Sun

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning.

Chengyu Wang, Haojie Pan, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework.

Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu

Proceedings of the 38th International Conference on Machine Learning, 2021

Salient Object Ranking with Position-Preserved Attention.

Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.

Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

RESA: Recurrent Feature-Shift Aggregator for Lane Detection.

Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning.

Yu Zhu, Jinghao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai

IEEE Trans. Knowl. Data Eng., 2020

Query-Biased Self-Attentive Network for Query-Focused Video Summarization.

Shuwen Xiao, Zhou Zhao, Zijian Zhang, Ziyu Guan, Deng Cai

IEEE Trans. Image Process., 2020

SIF: Self-Inspirited Feature Learning for Person Re-Identification.

Long Wei, Zhenyong Wei, Zhongming Jin, Zhengxu Yu, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

IEEE Trans. Image Process., 2020

Moment Retrieval via Cross-Modal Interaction Networks With Query Reconstruction.

Zhijie Lin, Zhou Zhao, Zhu Zhang, Zijian Zhang, Deng Cai

IEEE Trans. Image Process., 2020

Video Dialog via Multi-Grained Convolutional Self-Attention Context Multi-Modal Networks.

Mao Gu, Zhou Zhao, Weike Jin, Deng Cai, Fei Wu

IEEE Trans. Circuits Syst. Video Technol., 2020

Decouple co-adaptation: Classifier randomization for person re-identification.

Long Wei, Zhenyong Wei, Zhongming Jin, Qianxiao Wei, Jianqiang Huang, Xian-Sheng Hua, Deng Cai, Xiaofei He

Neurocomputing, 2020

Bi-Decoder Augmented Network for Neural Machine Translation.

Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai

Neurocomputing, 2020

LAMP: Label Augmented Multimodal Pretraining.

Jia Guo, Chen Zhu, Yilun Zhao, Heda Wang, Yao Hu, Xiaofei He, Deng Cai

CoRR, 2020

SplitNet: Divide and Co-training.

Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu

CoRR, 2020

EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.

Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin

CoRR, 2020

Geometry-based Occlusion-Aware Unsupervised Stereo Matching for Autonomous Driving.

Liang Peng, Dan Deng, Deng Cai

CoRR, 2020

Spherical Knowledge Distillation.

Jia Guo, Minghao Chen, Yao Hu, Chen Zhu, Xiaofei He, Deng Cai

CoRR, 2020

Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework.

Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu

CoRR, 2020

Does Network Width Really Help Adversarial Robustness?

Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu

CoRR, 2020

Apparel-invariant Feature Learning for Apparel-changed Person Re-identification.

Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

CoRR, 2020

Stable Learning via Causality-based Feature Rectification.

Zhengxu Yu, Pengfei Wang, Junkai Xu, Liang Xie, Zhongming Jin, Jianqiang Huang, Xiaofei He, Deng Cai, Xian-Sheng Hua

CoRR, 2020

Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds.

Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai

CoRR, 2020

Large Scale Abstractive Multi-Review Summarization (LSARS) via Aspect Alignment.

Haojie Pan, Rongqin Yang, Xin Zhou, Rui Wang, Deng Cai, Xiaozhong Liu

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification.

Zhengxu Yu, Shuxian Liang, Long Wei, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adversarial Mutual Information for Text Generation.

Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li

Proceedings of the 37th International Conference on Machine Learning, 2020

Training-Time-Friendly Network for Real-Time Object Detection.

Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Question-Driven Purchasing Propensity Analysis for Recommendation.

Long Chen, Ziyu Guan, Qibin Xu, Qiong Zhang, Huan Sun, Guangyue Lu, Deng Cai

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module.

Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Adversarial-Learned Loss for Domain Adaptation.

Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Sparse Coding Guided Spatiotemporal Feature Learning for Abnormal Event Detection in Large Videos.

Wenqing Chu, Hongyang Xue, Chengwei Yao, Deng Cai

IEEE Trans. Multim., 2019

Long-Form Video Question Answering via Dynamic Hierarchical Reinforced Networks.

Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhenxin Xiao, Xiaohui Yan, Jun Yu, Deng Cai, Fei Wu

IEEE Trans. Image Process., 2019

Multi-Turn Video Question Answering via Hierarchical Attention Context Reinforced Networks.

Zhou Zhao, Zhu Zhang, Xinghua Jiang, Deng Cai

IEEE Trans. Image Process., 2019

On the Diversity of Conditional Image Synthesis With Semantic Layouts.

Zichen Yang, Haifeng Liu, Deng Cai

IEEE Trans. Image Process., 2019

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph.

Cong Fu, Chao Xiang, Changxu Wang, Deng Cai

Proc. VLDB Endow., 2019

Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction.

Bin Hong, Weizhong Zhang, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

J. Mach. Learn. Res., 2019

DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration.

Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu

CoRR, 2019

Correlation Maximized Structural Similarity Loss for Semantic Segmentation.

Shuai Zhao, Boxi Wu, Wenqing Chu, Yao Hu, Deng Cai

CoRR, 2019

Improving Semantic Segmentation via Dilated Affinity.

Boxi Wu, Shuai Zhao, Wenqing Chu, Zheng Yang, Deng Cai

CoRR, 2019

Satellite System Graph: Towards the Efficiency Up-Boundary of Graph-Based Approximate Nearest Neighbor Search.

Cong Fu, Changxu Wang, Deng Cai

CoRR, 2019

Region Mutual Information Loss for Semantic Segmentation.

Shuai Zhao, Yang Wang, Zheng Yang, Deng Cai

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Minimax Game for Instance based Selective Transfer Learning.

Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization.

Cong Fu, Yonghui Zhang, Deng Cai, Xiang Ren

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Localizing Unseen Activities in Video via Image Query.

Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Deng Cai

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Progressive Transfer Learning for Person Re-identification.

Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning.

Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Weakly-Supervised Caricature Face Parsing Through Domain Adaptation.

Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai, Ming-Hsuan Yang

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Attribute Attention for Semantic Disambiguation in Zero-Shot Learning.

Yang Liu, Jishun Guo, Deng Cai, Xiaofei He

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Domain Adaptation for Semantic Segmentation With Maximum Squares Loss.

Minghao Chen, Hongyang Xue, Deng Cai

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU.

Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search.

Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Reinforced Dynamic Reasoning for Conversational Question Generation.

Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Social-Aware Movie Recommendation via Multimodal Network Learning.

Zhou Zhao, Qifan Yang, Hanqing Lu, Tim Weninger, Deng Cai, Xiaofei He, Yueting Zhuang

IEEE Trans. Multim., 2018

Weakly-Supervised Deep Embedding for Product Review Sentiment Analysis.

Wei Zhao, Ziyu Guan, Long Chen, Xiaofei He, Deng Cai, Beidou Wang, Quan Wang

IEEE Trans. Knowl. Data Eng., 2018

Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks.

Weizhong Zhang, Tingjin Luo, Shuang Qiu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

IEEE Trans. Knowl. Data Eng., 2018

A Better Way to Attend: Attention With Trees for Video Question Answering.

Hongyang Xue, Wenqing Chu, Zhou Zhao, Deng Cai

IEEE Trans. Image Process., 2018

Multi-Task Vehicle Detection With Region-of-Interest Voting.

Wenqing Chu, Yao Liu, Chen Shen, Deng Cai, Xian-Sheng Hua

IEEE Trans. Image Process., 2018

Multi-label active learning based on submodular functions.

Kuoliang Wu, Deng Cai, Xiaofei He

Neurocomputing, 2018

Split-Net: Improving face recognition in one forwarding operation.

Ge Wen, Yi Mao, Deng Cai, Xiaofei He

Neurocomputing, 2018

Improving face recognition with domain adaptation.

Ge Wen, Huaguan Chen, Deng Cai, Xiaofei He

Neurocomputing, 2018

Deep Rotation Equivariant Network.

Junying Li, Zichen Yang, Haifeng Liu, Deng Cai

Neurocomputing, 2018

The forgettable-watcher model for video question answering.

Wenqing Chu, Hongyang Xue, Zhou Zhao, Deng Cai, Chengwei Yao

Neurocomputing, 2018

Deep feature based contextual model for object detection.

Wenqing Chu, Deng Cai

Neurocomputing, 2018

Question retrieval for community-based question answering via heterogeneous social influential network.

Zheqian Chen, Chi Zhang, Zhou Zhao, Chengwei Yao, Deng Cai

Neurocomputing, 2018

Dial2Desc: End-to-end Dialogue Description Generation.

Haojie Pan, Junpei Zhou, Zhou Zhao, Yan Liu, Deng Cai, Min Yang

CoRR, 2018

Textually Guided Ranking Network for Attentional Image Retweet Modeling.

Zhou Zhao, Hanbing Zhan, Lingtao Meng, Jun Xiao, Jun Yu, Min Yang, Fei Wu, Deng Cai

CoRR, 2018

Addressing the Item Cold-start Problem by Attribute-driven Active Learning.

Yu Zhu, Jinhao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai

CoRR, 2018

Dialogue Act Recognition via CRF-Attentive Structured Network.

Zheqian Chen, Rongqin Yang, Zhou Zhao, Deng Cai, Xiaofei He

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models.

Boyuan Pan, Yazheng Yang, Hao Li, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Brand-level Ranking System with the Customized Attention-GRU Model.

Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks.

Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu, Deng Cai, Fei Wu, Yueting Zhuang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning.

Zhou Zhao, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network.

Zhou Zhao, Xinghua Jiang, Deng Cai, Jun Xiao, Xiaofei He, Shiliang Pu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism.

Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Device-Aware Rule Recommendation for the Internet of Things.

Beidou Wang, Xin Guo, Martin Ester, Ziyu Guan, Bandeep Singh, Yu Zhu, Jiajun Bu, Deng Cai

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference.

Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

PixelLink: Detecting Scene Text via Instance Segmentation.

Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

On efficiently finding reverse k-nearest neighbors over uncertain graphs.

Yunjun Gao, Xiaoye Miao, Gang Chen, Baihua Zheng, Deng Cai, Huiyong Cui

VLDB J., 2017

Unifying the Video and Question Attentions for Open-Ended Video Question Answering.

Hongyang Xue, Zhou Zhao, Deng Cai

IEEE Trans. Image Process., 2017

Depth Image Inpainting: Improving Low Rank Matrix Completion With Low Gradient Regularization.

Hongyang Xue, Shengming Zhang, Deng Cai

IEEE Trans. Image Process., 2017

Constrained Low-Rank Learning Using Least Squares-Based Regularization.

Ping Li, Jun Yu, Meng Wang, Luming Zhang, Deng Cai, Xuelong Li

IEEE Trans. Cybern., 2017

Sparse Learning with Stochastic Composite Optimization.

Weizhong Zhang, Lijun Zhang, Zhongming Jin, Rong Jin, Deng Cai, Xuelong Li, Ronghua Liang, Xiaofei He

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Pre-training the deep generative models with adaptive hyperparameter optimization.

Chengwei Yao, Deng Cai, Jiajun Bu, Gencai Chen

Neurocomputing, 2017

Special issue on selected and extended papers from the 2015 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2015).

Shiguang Shan, Deng Cai, Cheng Deng, Hong Chang

Neurocomputing, 2017

On the Diversity of Realistic Image Synthesis.

Zichen Yang, Haifeng Liu, Deng Cai

CoRR, 2017

A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval.

Deng Cai, Xiuye Gu, Chaoqi Wang

CoRR, 2017

Keyword-based Query Comprehending via Multiple Optimized-Demand Augmentation.

Boyuan Pan, Hao Li, Zhou Zhao, Deng Cai, Xiaofei He

CoRR, 2017

Smarnet: Teaching Machines to Read and Comprehend Like Human.

Zheqian Chen, Rongqin Yang, Bin Cao, Zhou Zhao, Deng Cai, Xiaofei He

CoRR, 2017

Learning Graph-Level Representation for Drug Discovery.

Junying Li, Deng Cai, Xiaofei He

CoRR, 2017

The Forgettable-Watcher Model for Video Question Answering.

Hongyang Xue, Zhou Zhao, Deng Cai

CoRR, 2017

MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension.

Boyuan Pan, Hao Li, Zhou Zhao, Bin Cao, Deng Cai, Xiaofei He

CoRR, 2017

Fast Approximate Nearest Neighbor Search With Navigating Spreading-out Graphs.

Cong Fu, Changxu Wang, Deng Cai

CoRR, 2017

User Personalized Satisfaction Prediction via Multiple Instance Deep Learning.

Zheqian Chen, Ben Gao, Huimin Zhang, Zhou Zhao, Haifeng Liu, Deng Cai

Proceedings of the 26th International Conference on World Wide Web, 2017

Video Question Answering via Hierarchical Dual-Level Attention Network Learning.

Zhou Zhao, Jinghao Lin, Xinghua Jiang, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Spatiotemporal Multi-Task Network for Human Activity Understanding.

Yao Liu, Jianqiang Huang, Chang Zhou, Deng Cai, Xian-Sheng Hua

Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

What to Do Next: Modeling User Behaviors by Time-LSTM.

Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Video Question Answering via Hierarchical Spatio-Temporal Attention Networks.

Zhou Zhao, Qifan Yang, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Microblog Sentiment Classification via Recurrent Random Walk Network Learning.

Zhou Zhao, Hanqing Lu, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Link Prediction via Ranking Metric Dual-Level Attention Network Learning.

Zhou Zhao, Ben Gao, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Robust Asymmetric Bayesian Adaptive Matrix Factorization.

Xin Guo, Boyuan Pan, Deng Cai, Xiaofei He

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Stacked Similarity-Aware Autoencoders.

Wenqing Chu, Deng Cai

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Reverse Top-k Geo-Social Keyword Queries in Road Networks.

Jingwen Zhao, Yunjun Gao, Gang Chen, Christian S. Jensen, Rui Chen, Deng Cai

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning.

Zhou Zhao, Hanqing Lu, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Atom Decomposition with Adaptive Basis Selection Strategy for Matrix Completion.

Yao Hu, Chen Zhao, Deng Cai, Xiaofei He, Xuelong Li

ACM Trans. Multim. Comput. Commun. Appl., 2016

User Preference Learning for Online Social Recommendation.

Zhou Zhao, Hanqing Lu, Deng Cai, Xiaofei He, Yueting Zhuang

IEEE Trans. Knowl. Data Eng., 2016

Graph Regularized Feature Selection with Data Reconstruction.

Zhou Zhao, Xiaofei He, Deng Cai, Lijun Zhang, Wilfred Ng, Yueting Zhuang

IEEE Trans. Knowl. Data Eng., 2016

Improving Collaborative Recommendation via User-Item Subgroups.

Jiajun Bu, Xin Shen, Bin Xu, Chun Chen, Xiaofei He, Deng Cai

IEEE Trans. Knowl. Data Eng., 2016

Heterogeneous hypergraph embedding for document recommendation.

Yu Zhu, Ziyu Guan, Shulong Tan, Haifeng Liu, Deng Cai, Xiaofei He

Neurocomputing, 2016

Orthogonal Projective Sparse Coding for image representation.

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

Neurocomputing, 2016

A-Optimal Non-negative Projection with Hessian regularization.

Zheng Yang, Haifeng Liu, Deng Cai, Zhaohui Wu

Neurocomputing, 2016

Tracking people in RGBD videos using deep learning and motion clues.

Hongyang Xue, Yao Liu, Deng Cai, Xiaofei He

Neurocomputing, 2016

Online robust principal component analysis via truncated nuclear norm regularization.

Bin Hong, Long Wei, Yao Hu, Deng Cai, Xiaofei He

Neurocomputing, 2016

Atom Decomposition Based Subgradient Descent for matrix classification.

Wenqing Chu, Yao Hu, Chen Zhao, Haifeng Liu, Deng Cai

Neurocomputing, 2016

Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction.

Weizhong Zhang, Bin Hong, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

CoRR, 2016

Stereo Matching by Joint Energy Minimization.

Hongyang Xue, Deng Cai

CoRR, 2016

Relational Multi-Manifold Co-Clustering.

Ping Li, Jiajun Bu, Chun Chen, Zhanying He, Deng Cai

CoRR, 2016

EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph.

Cong Fu, Deng Cai

CoRR, 2016

Question Retrieval for Community-based Question Answering via Heterogeneous Network Integration Learning.

Zheqian Chen, Chi Zhang, Zhou Zhao, Deng Cai

CoRR, 2016

User Personalized Satisfaction Prediction via Multiple Instance Deep Learning.

Zheqian Chen, Ben Gao, Huimin Zhang, Zhou Zhao, Deng Cai

CoRR, 2016

Which to View: Personalized Prioritization for Broadcast Emails.

Beidou Wang, Martin Ester, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai

Proceedings of the 25th International Conference on World Wide Web, 2016

Distributed Representations of Expertise.

Fangqiu Han, Shulong Tan, Huan Sun, Mudhakar Srivatsa, Deng Cai, Xifeng Yan

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Partial Multi-Modal Sparse Coding via Adaptive Similarity Structure Regularization.

Zhou Zhao, Hanqing Lu, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation.

Beidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai

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

Expert Finding for Community-Based Question Answering via Ranking Metric Network Learning.

Zhou Zhao, Qifan Yang, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Non-Negative Matrix Factorization with Sinkhorn Distance.

Wei Qian, Bin Hong, Deng Cai, Xiaofei He, Xuelong Li

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Weakly-Supervised Deep Learning for Customer Review Sentiment Classification.

Ziyu Guan, Long Chen, Wei Zhao, Yi Zheng, Shulong Tan, Deng Cai

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Accelerated Sparse Linear Regression via Random Projection.

Weizhong Zhang, Lijun Zhang, Rong Jin, Deng Cai, Xiaofei He

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

EMR: A Scalable Graph-Based Ranking Model for Content-Based Image Retrieval.

Bin Xu, Jiajun Bu, Chun Chen, Can Wang, Deng Cai, Xiaofei He

IEEE Trans. Knowl. Data Eng., 2015

Treelets Binary Feature Retrieval for Fast Keypoint Recognition.

Jianke Zhu, Chenxia Wu, Chun Chen, Deng Cai

IEEE Trans. Cybern., 2015

Large Scale Spectral Clustering Via Landmark-Based Sparse Representation.

Deng Cai, Xinlei Chen

IEEE Trans. Cybern., 2015

Sparse fixed-rank representation for robust visual analysis.

Ping Li, Jiajun Bu, Bin Xu, Zhanying He, Chun Chen, Deng Cai

Signal Process., 2015

Opinions matter: a general approach to user profile modeling for contextual suggestion.

Peilin Yang, Hongning Wang, Hui Fang, Deng Cai

Inf. Retr. J., 2015

Large scale multi-class classification with truncated nuclear norm regularization.

Yao Hu, Zhongming Jin, Yi Shi, Debing Zhang, Deng Cai, Xiaofei He

Neurocomputing, 2015

Unsupervised document summarization from data reconstruction perspective.

Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He

Neurocomputing, 2015

Multi-view based multi-label propagation for image annotation.

Zhanying He, Chun Chen, Jiajun Bu, Ping Li, Deng Cai

Neurocomputing, 2015

Event Recovery by Faster Truncated Nuclear Norm Minimization.

Debing Zhang, Long Wei, Bin Hong, Yao Hu, Deng Cai, Xiaofei He

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

Compressed Spectral Regression for Efficient Nonlinear Dimensionality Reduction.

Deng Cai

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Towards Less Biased Web Search.

Xitong Liu, Hui Fang, Deng Cai

Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

2014

Feature Correlation Hypergraph: Exploiting High-order Potentials for Multimodal Recognition.

Luming Zhang, Yue Gao, Chaoqun Hong, Yinfu Feng, Jianke Zhu, Deng Cai

IEEE Trans. Cybern., 2014

Constrained Concept Factorization for Image Representation.

Haifeng Liu, Genmao Yang, Zhaohui Wu, Deng Cai

IEEE Trans. Cybern., 2014

Fast and Accurate Hashing Via Iterative Nearest Neighbors Expansion.

Zhongming Jin, Debing Zhang, Yao Hu, Shiding Lin, Deng Cai, Xiaofei He

IEEE Trans. Cybern., 2014

Density Sensitive Hashing.

Zhongming Jin, Cheng Li, Yue Lin, Deng Cai

IEEE Trans. Cybern., 2014

Cross domain recommendation based on multi-type media fusion.

Shulong Tan, Jiajun Bu, Xuzhen Qin, Chun Chen, Deng Cai

Neurocomputing, 2014

Active learning on manifolds.

Cheng Li, Haifeng Liu, Deng Cai

Neurocomputing, 2014

Manifold optimal experimental design via dependence maximization for active learning.

Ping Li, Jiajun Bu, Chun Chen, Deng Cai

Neurocomputing, 2014

Spatially correlated nonnegative matrix factorization.

Xinlei Chen, Cheng Li, Haifeng Liu, Deng Cai

Neurocomputing, 2014

Discriminative Orthogonal Nonnegative matrix factorization with flexibility for data representation.

Ping Li, Jiajun Bu, Yi Yang, Rongrong Ji, Chun Chen, Deng Cai

Expert Syst. Appl., 2014

Iterative Multi-View Hashing for Cross Media Indexing.

Yao Hu, Zhongming Jin, Hongyi Ren, Deng Cai, Xiaofei He

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Sparse Learning for Stochastic Composite Optimization.

Weizhong Zhang, Lijun Zhang, Yao Hu, Rong Jin, Deng Cai, Xiaofei He

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems.

Beidou Wang, Martin Ester, Jiajun Bu, Deng Cai

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Mapping Users across Networks by Manifold Alignment on Hypergraph.

Shulong Tan, Ziyu Guan, Deng Cai, Xuzhen Qin, Jiajun Bu, Chun Chen

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Semi-Supervised Nonlinear Hashing Using Bootstrap Sequential Projection Learning.

Chenxia Wu, Jianke Zhu, Deng Cai, Chun Chen, Jiajun Bu

IEEE Trans. Knowl. Data Eng., 2013

Co-Occurrence-Based Diffusion for Expert Search on the Web.

Ziyu Guan, Gengxin Miao, Russell McLoughlin, Xifeng Yan, Deng Cai

IEEE Trans. Knowl. Data Eng., 2013

Parallel Field Ranking.

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

ACM Trans. Knowl. Discov. Data, 2013

Nonnegative Local Coordinate Factorization for Image Representation.

Yan Chen, Jiemi Zhang, Deng Cai, Wei Liu, Xiaofei He

IEEE Trans. Image Process., 2013

Relational Multimanifold Coclustering.

Ping Li, Jiajun Bu, Chun Chen, Zhanying He, Deng Cai

IEEE Trans. Cybern., 2013

Multi-Manifold Concept Factorization for Data Clustering.

Ping Li, Jiajun Bu, Deng Cai

Int. J. Softw. Informatics, 2013

Subspace learning via Locally Constrained A-optimal nonnegative projection.

Ping Li, Jiajun Bu, Chun Chen, Can Wang, Deng Cai

Neurocomputing, 2013

Whom to mention: expand the diffusion of tweets by @ recommendation on micro-blogging systems.

Beidou Wang, Can Wang, Jiajun Bu, Chun Chen, Wei Vivian Zhang, Deng Cai, Xiaofei He

Proceedings of the 22nd International World Wide Web Conference, 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

Salient Object Detection via Fast Iterative Truncated Nuclear Norm Recovery.

Chuhang Zou, Yao Hu, Deng Cai, Xiaofei He

Proceedings of the Intelligence Science and Big Data Engineering, 2013

A Unified Approximate Nearest Neighbor Search Scheme by Combining Data Structure and Hashing.

Debing Zhang, Genmao Yang, Yao Hu, Zhongming Jin, Deng Cai, Xiaofei He

Proceedings of the IJCAI 2013, 2013

Bilevel Visual Words Coding for Image Classification.

Jiemi Zhang, Chenxia Wu, Deng Cai, Jianke Zhu

Proceedings of the IJCAI 2013, 2013

Harmonious Hashing.

Bin Xu, Jiajun Bu, Yue Lin, Chun Chen, Xiaofei He, Deng Cai

Proceedings of the IJCAI 2013, 2013

Active Learning Based on Local Representation.

Yao Hu, Debing Zhang, Zhongming Jin, Deng Cai, Xiaofei He

Proceedings of the IJCAI 2013, 2013

Complementary Projection Hashing.

Zhongming Jin, Yao Hu, Yue Lin, Debing Zhang, Shiding Lin, Deng Cai, Xuelong Li

Proceedings of the IEEE International Conference on Computer Vision, 2013

Compressed Hashing.

Yue Lin, Rong Jin, Deng Cai, Shuicheng Yan, Xuelong Li

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Locally Discriminative Coclustering.

Lijun Zhang, Chun Chen, Jiajun Bu, Zhengguang Chen, Deng Cai, Jiawei Han

IEEE Trans. Knowl. Data Eng., 2012

Manifold Adaptive Experimental Design for Text Categorization.

Deng Cai, Xiaofei He

IEEE Trans. Knowl. Data Eng., 2012

Locally discriminative topic modeling.

Hao Wu, Jiajun Bu, Chun Chen, Jianke Zhu, Lijun Zhang, Haifeng Liu, Can Wang, Deng Cai

Pattern Recognit., 2012

Constrained Nonnegative Matrix Factorization for Image Representation.

Haifeng Liu, Zhaohui Wu, Xuelong Li, Deng Cai, Thomas S. Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Density Sensitive Hashing

Yue Lin, Deng Cai, Cheng Li

CoRR, 2012

An exploration of improving collaborative recommender systems via user-item subgroups.

Bin Xu, Jiajun Bu, Chun Chen, Deng Cai

Proceedings of the 21st World Wide Web Conference 2012, 2012

Search web images using objects, backgrounds and conditions.

Jiemi Zhang, Chenxia Wu, Deng Cai

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Unsupervised face-name association via commute distance.

Jiajun Bu, Bin Xu, Chenxia Wu, Chun Chen, Jianke Zhu, Deng Cai, Xiaofei He

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Spatially Correlated Nonnegative Matrix Factorization for Image Analysis.

Xinlei Chen, Cheng Li, Deng Cai

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

A Convolutional Treelets Binary Feature Approach to Fast Keypoint Recognition.

Chenxia Wu, Jianke Zhu, Jiemi Zhang, Chun Chen, Deng Cai

Proceedings of the Computer Vision - ECCV 2012, 2012

Metric learning with two-dimensional smoothness for visual analysis.

Xinlei Chen, Zifei Tong, Haifeng Liu, Deng Cai

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Accelerating locality preserving nonnegative matrix factorization.

Guanhong Yao, Deng Cai

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

A Bregman Divergence Optimization Framework for Ranking on Data Manifold and Its New Extensions.

Bin Xu, Jiajun Bu, Chun Chen, Deng Cai

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Random Projection with Filtering for Nearly Duplicate Search.

Yue Lin, Rong Jin, Deng Cai, Xiaofei He

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Document Summarization Based on Data Reconstruction.

Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Speed up kernel discriminant analysis.

Deng Cai, Xiaofei He, Jiawei Han

VLDB J., 2011

Laplacian Regularized Gaussian Mixture Model for Data Clustering.

Xiaofei He, Deng Cai, Yuanlong Shao, Hujun Bao, Jiawei Han

IEEE Trans. Knowl. Data Eng., 2011

Locally Consistent Concept Factorization for Document Clustering.

Deng Cai, Xiaofei He, Jiawei Han

IEEE Trans. Knowl. Data Eng., 2011

Variational inference with graph regularization for image annotation.

Yuanlong Shao, Yuan Zhou, Deng Cai

ACM Trans. Intell. Syst. Technol., 2011

Graph Regularized Sparse Coding for Image Representation.

Miao Zheng, Jiajun Bu, Chun Chen, Can Wang, Lijun Zhang, Guang Qiu, Deng Cai

IEEE Trans. Image Process., 2011

Active Learning Based on Locally Linear Reconstruction.

Lijun Zhang, Chun Chen, Jiajun Bu, Deng Cai, Xiaofei He, Thomas S. Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Graph Regularized Nonnegative Matrix Factorization for Data Representation.

Deng Cai, Xiaofei He, Jiawei Han, Thomas S. Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Kernel approximately harmonic projection.

Guanhong Yao, Wei Hua, Binbin Lin, Deng Cai

Neurocomputing, 2011

Efficient manifold ranking for image retrieval.

Bin Xu, Jiajun Bu, Chun Chen, Deng Cai, Xiaofei He, Wei Liu, Jiebo Luo

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Sparse concept coding for visual analysis.

Deng Cai, Hujun Bao, Xiaofei He

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Large Scale Spectral Clustering with Landmark-Based Representation.

Xinlei Chen, Deng Cai

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Document recommendation in social tagging services.

Ziyu Guan, Can Wang, Jiajun Bu, Chun Chen, Kun Yang, Deng Cai, Xiaofei He

Proceedings of the 19th International Conference on World Wide Web, 2010

Self-taught hashing for fast similarity search.

Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Unsupervised feature selection for multi-cluster data.

Deng Cai, Chiyuan Zhang, Xiaofei He

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Error-correcting output hashing in fast similarity search.

Zhou Yu, Deng Cai, Xiaofei He

Proceedings of the Second International Conference on Internet Multimedia Computing and Service, 2010

Laplacian Co-hashing of Terms and Documents.

Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu

Proceedings of the Advances in Information Retrieval, 2010

Gaussian Mixture Model with Local Consistency.

Jialu Liu, Deng Cai, Xiaofei He

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Spectral Regression: A Regression Framework for Efficient Regularized Subspace Learning

Deng Cai

PhD thesis, 2009

Convex experimental design using manifold structure for image retrieval.

Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng Cai, Xiaofei He

Proceedings of the 17th International Conference on Multimedia 2009, 2009

Semi-supervised topic modeling for image annotation.

Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hujun Bao

Proceedings of the 17th International Conference on Multimedia 2009, 2009

Locality Preserving Nonnegative Matrix Factorization.

Deng Cai, Xiaofei He, Xuanhui Wang, Hujun Bao, Jiawei Han

Proceedings of the IJCAI 2009, 2009

Probabilistic dyadic data analysis with local and global consistency.

Deng Cai, Xuanhui Wang, Xiaofei He

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Active subspace learning.

Xiaofei He, Deng Cai

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

Learning a Maximum Margin Subspace for Image Retrieval.

Xiaofei He, Deng Cai, Jiawei Han

IEEE Trans. Knowl. Data Eng., 2008

SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis.

Deng Cai, Xiaofei He, Jiawei Han

IEEE Trans. Knowl. Data Eng., 2008

Topic modeling with network regularization.

Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai

Proceedings of the 17th International Conference on World Wide Web, 2008

Non-negative Matrix Factorization on Manifold.

Deng Cai, Xiaofei He, Xiaoyun Wu, Jiawei Han

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Training Linear Discriminant Analysis in Linear Time.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the 24th International Conference on Data Engineering, 2008

Modeling hidden topics on document manifold.

Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Sparse Projections over Graph.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Clustering and searching WWW images using link and page layout analysis.

Xiaofei He, Deng Cai, Ji-Rong Wen, Wei-Ying Ma, Hong-Jiang Zhang

ACM Trans. Multim. Comput. Commun. Appl., 2007

Laplacian optimal design for image retrieval.

Xiaofei He, Wanli Min, Deng Cai, Kun Zhou

Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Spectral regression: a unified subspace learning framework for content-based image retrieval.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the 15th International Conference on Multimedia 2007, 2007

Regularized regression on image manifold for retrieval.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the 9th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2007

Locality Sensitive Discriminant Analysis.

Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun Bao

Proceedings of the IJCAI 2007, 2007

Efficient Kernel Discriminant Analysis via Spectral Regression.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Spectral Regression: A Unified Approach for Sparse Subspace Learning.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Semi-supervised Discriminant Analysis.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Spectral Regression for Efficient Regularized Subspace Learning.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Learning a Spatially Smooth Subspace for Face Recognition.

Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thomas S. Huang

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Regularized locality preserving indexing via spectral regression.

Deng Cai, Xiaofei He, Wei Vivian Zhang, Jiawei Han

Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Isometric Projection.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Orthogonal Laplacianfaces for Face Recognition.

Deng Cai, Xiaofei He, Jiawei Han, HongJiang Zhang

IEEE Trans. Image Process., 2006

An algorithm for semi-supervised learning in image retrieval.

Ke Lu, Jidong Zhao, Deng Cai

Pattern Recognit., 2006

Tensor space model for document analysis.

Deng Cai, Xiaofei He, Jiawei Han

Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

2005

Document Clustering Using Locality Preserving Indexing.

Deng Cai, Xiaofei He, Jiawei Han

IEEE Trans. Knowl. Data Eng., 2005

Orthogonal locality preserving indexing.

Deng Cai, Xiaofei He

Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Community Mining from Multi-relational Networks.

Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Tensor Subspace Analysis.

Xiaofei He, Deng Cai, Partha Niyogi

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Laplacian Score for Feature Selection.

Xiaofei He, Deng Cai, Partha Niyogi

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Image clustering with tensor representation.

Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han

Proceedings of the 13th ACM International Conference on Multimedia, 2005

Mining hidden community in heterogeneous social networks.

Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han

Proceedings of the 3rd international workshop on Link discovery, 2005

Statistical and computational analysis of locality preserving projection.

Xiaofei He, Deng Cai, Wanli Min

Proceedings of the Machine Learning, 2005

Neighborhood Preserving Embedding.

Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zhang

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004

Locality preserving indexing for document representation.

Xiaofei He, Deng Cai, Haifeng Liu, Wei-Ying Ma

Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Block-based web search.

Deng Cai, Shipeng Yu, Ji-Rong Wen, Wei-Ying Ma

Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Block-level link analysis.

Deng Cai, Xiaofei He, Ji-Rong Wen, Wei-Ying Ma

Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Locality preserving clustering for image database.

Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xueyin Lin

Proceedings of the 12th ACM International Conference on Multimedia, 2004

Hierarchical clustering of WWW image search results using visual, textual and link information.

Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-Rong Wen

Proceedings of the 12th ACM International Conference on Multimedia, 2004

Organizing WWW images based on the analysis of page layout and Web link structure.

Deng Cai, Xiaofei He, Wei-Ying Ma, Ji-Rong Wen, HongJiang Zhang

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

2003

Improving pseudo-relevance feedback in web information retrieval using web page segmentation.

Shipeng Yu, Deng Cai, Ji-Rong Wen, Wei-Ying Ma

Proceedings of the Twelfth International World Wide Web Conference, 2003

Microsoft Research Asia at the Web Track of TREC 2003.

Ji-Rong Wen, Ruihua Song, Deng Cai, Kaihua Zhu, Shipeng Yu, Shaozhi Ye, Wei-Ying Ma

Proceedings of The Twelfth Text REtrieval Conference, 2003

Extracting Content Structure for Web Pages Based on Visual Representation.

Deng Cai, Shipeng Yu, Ji-Rong Wen, Wei-Ying Ma

Proceedings of the Web Technologies and Applications, 5th Asian-Pacific Web Conference, 2003