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2020 – today
- 2024
- [j25]Sydney Day, Zhidong Xiao
, Ehtzaz Chaudhry, Matthew Hooker, Xiaoqiang Zhu, Jian Chang, Andrés Iglesias
, Lihua You, Jian J. Zhang:
Improving Realism of Facial Interpolation and Blendshapes with Analytical Partial Differential Equation-Represented Physics. Axioms 13(3): 185 (2024) - [j24]Xiaoqiang Zhu
, Xinsheng Yao
, Junjie Zhang, Mengyao Zhu, Lihua You, Xiaosong Yang, Jianjun Zhang, He Zhao, Dan Zeng:
TMSDNet: Transformer with multi-scale dense network for single and multi-view 3D reconstruction. Comput. Animat. Virtual Worlds 35(1) (2024) - 2023
- [j23]Maiying Zhong, Xiaoqiang Zhu, Ting Xue, Lu Zhang:
An overview of recent advances in model-based event-triggered fault detection and estimation. Int. J. Syst. Sci. 54(4): 929-943 (2023) - [j22]Xiaoqiang Zhu
, Tie Qiu
, Wenyu Qu
, Xiaobo Zhou
, Mohammed Atiquzzaman
, Dapeng Oliver Wu
:
BLS-Location: A Wireless Fingerprint Localization Algorithm Based on Broad Learning. IEEE Trans. Mob. Comput. 22(1): 115-128 (2023) - [j21]Xiaoqiang Zhu
, Tie Qiu
, Wenyu Qu
, Xiaobo Zhou
, Yifan Wang, Dapeng Oliver Wu
:
Path Planning for Adaptive CSI Map Construction With A3C in Dynamic Environments. IEEE Trans. Mob. Comput. 22(5): 2925-2937 (2023) - [c37]Jiayu Zhou, Xiaoqiang Zhu:
EHA3D: Expressive Head Avatar via Disentangled Latent Code. IFTC (1) 2023: 243-257 - [c36]Ruiming Tang
, Xiaoqiang Zhu
, Junfeng Ge
, Kuang-chih Lee
, Biye Jiang
, Xingxing Wang
, Han Zhu
, Tao Zhuang
, Weiwen Liu
, Kan Ren
, Weinan Zhang
, Xiangyu Zhao
:
International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. RecSys 2023: 1276-1280 - 2022
- [j20]Xiaoqiang Zhu, Qi Chen, Sihu Liu, Chenjie Fan, Chenze Song, Junjie Zhang, Dan Zeng, Xiaogang Jin
:
Controllable blending of line and polygon skeleton-based convolution surfaces with finite support kernels. Comput. Graph. 106: 98-109 (2022) - [j19]Xiaoqiang Zhu, Xiaomei Liu, Sihu Liu, Yalan Shen, Lihua You, Yimin Wang:
Robust quasi-uniform surface meshing of neuronal morphology using line skeleton-based progressive convolution approximation. Frontiers Neuroinformatics 16 (2022) - [j18]Xiaoqiang Zhu
, Wenyu Qu
, Xiaobo Zhou
, Laiping Zhao
, Zhaolong Ning
, Tie Qiu
:
Intelligent Fingerprint-Based Localization Scheme Using CSI Images for Internet of Things. IEEE Trans. Netw. Sci. Eng. 9(4): 2378-2391 (2022) - [c35]Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-chih Lee, Nathalie Japkowicz
, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang:
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. KDD 2022: 4860-4861 - [c34]Yiyu Zhou, Luning Hong, Xiaoqiang Zhu:
Document Image Watermarking Scheme with Adaptive Positioning Based on Discrete Wavelet Transform and Discrete Cosine Transform. MMSP 2022: 1-6 - [c33]Weijie Bian, Kailun Wu
, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Yong-Nan Zhu, Zhangming Chan, Na Mou, Xinchen Luo, Shiming Xiang, Guorui Zhou, Xiaoqiang Zhu, Hongbo Deng:
CAN: Feature Co-Action Network for Click-Through Rate Prediction. WSDM 2022: 57-65 - [c32]Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng:
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. WSDM 2022: 1129-1139 - [i25]Jingwei Zhuo, Bin Liu, Xiang Li, Han Zhu, Xiaoqiang Zhu:
WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models. CoRR abs/2202.13616 (2022) - 2021
- [j17]Xiaoqiang Zhu, Yang Liu, Jingzhong Fang
, Maiying Zhong:
Fault detection for a class of linear systems with integral measurements. Sci. China Inf. Sci. 64(3) (2021) - [j16]Maiying Zhong, Ting Xue, Xiaoqiang Zhu, Lu Zhang:
An Hi/H∞ optimisation approach to distributed event-triggered fault detection over wireless sensor networks. Int. J. Syst. Sci. 52(6): 1160-1170 (2021) - [c31]Xiaoqiang Zhu, Ting Xue, Lu Zhang, Maiying Zhong:
Dynamic Event-Triggered Fault Detection for A Kind of Nonlinear Time-Varying Systems with Channel Fading. CAA SAFEPROCESS 2021: 1-6 - [c30]Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Hongbo Deng, Xiaoqiang Zhu:
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. CIKM 2021: 4104-4113 - [c29]Yilin Hou, Guangming Zhao, Chuanren Liu
, Zhonglin Zu, Xiaoqiang Zhu:
Conversion Prediction with Delayed Feedback: A Multi-task Learning Approach. ICDM 2021: 191-199 - [c28]Wenwei Ke, Chuanren Liu
, Xiangfu Shi, Yiqiao Dai, Philip S. Yu, Xiaoqiang Zhu:
Addressing Exposure Bias in Uplift Modeling for Large-scale Online Advertising. ICDM 2021: 1156-1161 - [c27]Chao Du, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Yifan Zeng, Xiaoqiang Zhu, Jian Xu, Kun Gai, Kuang-Chih Lee:
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. KDD 2021: 2792-2801 - [c26]Siyu Gu, Xiang-Rong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu:
Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling. KDD 2021: 2890-2898 - [c25]Liyi Guo, Junqi Jin, Haoqi Zhang, Zhenzhe Zheng, Zhiye Yang, Zhizhuang Xing, Fei Pan, Lvyin Niu, Fan Wu, Haiyang Xu, Chuan Yu, Yuning Jiang, Xiaoqiang Zhu:
We Know What You Want: An Advertising Strategy Recommender System for Online Advertising. KDD 2021: 2919-2927 - [c24]Yue He, Xiujun Chen, Di Wu, Junwei Pan, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu:
A Unified Solution to Constrained Bidding in Online Display Advertising. KDD 2021: 2993-3001 - [c23]Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu:
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising. KDD 2021: 3354-3364 - [c22]Xiaoqiang Zhu, Kuang-chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang:
3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. KDD 2021: 4187-4188 - [i24]Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Xiaoqiang Zhu:
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. CoRR abs/2101.11427 (2021) - [i23]Jin Li, Jie Liu, Shangzhou Li, Yao Xu, Ran Cao, Qi Li, Biye Jiang, Guan Wang, Han Zhu, Kun Gai, Xiaoqiang Zhu:
Truncation-Free Matching System for Display Advertising at Alibaba. CoRR abs/2102.09283 (2021) - [i22]Xun Yang, Yunli Wang, Cheng Chen, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu:
Computation Resource Allocation Solution in Recommender Systems. CoRR abs/2103.02259 (2021) - [i21]Siyu Gu, Xiang-Rong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu:
Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling. CoRR abs/2104.14121 (2021) - [i20]Liyi Guo, Junqi Jin, Haoqi Zhang, Zhenzhe Zheng, Zhiye Yang, Zhizhuang Xing, Fei Pan, Fan Wu, Lvyin Niu, Haiyang Xu, Chuan Yu, Yuning Jiang, Xiaoqiang Zhu:
We Know What You Want: An Advertising Strategy Recommender System for Online Advertising. CoRR abs/2105.14188 (2021) - [i19]Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu:
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising. CoRR abs/2106.03593 (2021) - [i18]Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu:
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. CoRR abs/2106.06224 (2021) - [i17]Daqing Chang, Jintao Liu, Ziru Xu, Han Li, Han Zhu, Xiaoqiang Zhu:
Context-aware Tree-based Deep Model for Recommender Systems. CoRR abs/2109.10602 (2021) - 2020
- [j15]Xiaoqiang Zhu
, Wenyu Qu
, Tie Qiu
, Laiping Zhao
, Mohammed Atiquzzaman
, Dapeng Oliver Wu
:
Indoor Intelligent Fingerprint-Based Localization: Principles, Approaches and Challenges. IEEE Commun. Surv. Tutorials 22(4): 2634-2657 (2020) - [j14]Xiaoqiang Zhu
, Chenze Song, Mengyao Zhu, Xiangyang Wang, Lihua You, Xiaogang Jin
:
Barycentric convolution surfaces based on general planar polygon skeletons. Graph. Model. 109: 101069 (2020) - [j13]Xu Chen
, Xiaojun Wang
, Xiaoqiang Zhu, Joseph Amankwah-Amoah
:
To share or withhold? Contract negotiation in buyer-supplier-supplier triads. Ind. Manag. Data Syst. 120(1): 98-127 (2020) - [c21]Qi Pi, Guorui Zhou, Yujing Zhang, Zhe Wang, Lejian Ren, Ying Fan, Xiaoqiang Zhu, Kun Gai:
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction. CIKM 2020: 2685-2692 - [c20]Jiarui Jin, Yuchen Fang
, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai:
A Deep Recurrent Survival Model for Unbiased Ranking. SIGIR 2020: 29-38 - [i16]Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai:
A Deep Recurrent Survival Model for Unbiased Ranking. CoRR abs/2004.14714 (2020) - [i15]Qi Pi, Xiaoqiang Zhu, Guorui Zhou, Yujing Zhang, Zhe Wang, Lejian Ren, Ying Fan, Kun Gai:
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction. CoRR abs/2006.05639 (2020) - [i14]Biye Jiang, Pengye Zhang, Rihan Chen, Binding Dai, Xinchen Luo, Yin Yang, Guan Wang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
DCAF: A Dynamic Computation Allocation Framework for Online Serving System. CoRR abs/2006.09684 (2020) - [i13]Zhe Wang, Liqin Zhao, Biye Jiang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
COLD: Towards the Next Generation of Pre-Ranking System. CoRR abs/2007.16122 (2020) - [i12]Guorui Zhou, Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Na Mou, Xinchen Luo, Chi Zhang, Xianjie Qiao, Shiming Xiang, Kun Gai, Xiaoqiang Zhu, Jian Xu:
CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. CoRR abs/2011.05625 (2020) - [i11]Chao Du, Yifan Zeng, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Xiaoqiang Zhu, Jian Xu, Kun Gai:
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. CoRR abs/2012.02298 (2020)
2010 – 2019
- 2019
- [j12]Rui Wang
, Zhongzheng Cao, Xiangyang Wang, Zhi Liu, Xiaoqiang Zhu:
Human Pose Estimation With Deeply Learned Multi-Scale Compositional Models. IEEE Access 7: 71158-71166 (2019) - [j11]Xiangyang Wang, Zhongzheng Cao, Rui Wang
, Zhi Liu, Xiaoqiang Zhu:
Improving Human Pose Estimation With Self-Attention Generative Adversarial Networks. IEEE Access 7: 119668-119680 (2019) - [j10]Mengyao Zhu
, Xiukun Wu, Zhihua Lu, Tao Wang, Xiaoqiang Zhu
:
Long-term speech information based threshold for voice activity detection in massive microphone network. Digit. Signal Process. 94: 156-164 (2019) - [j9]Xiaoqiang Zhu
, Lei Song, Nan Wang, Ruiheng Zhang, Shenshuai Chen, Xiangyang Wang, Mengyao Zhu, Lihua You, Zhigang Deng
, Xiaogang Jin
:
Screwing assembly oriented interactive model segmentation in HMD VR environment. Comput. Animat. Virtual Worlds 30(3-4) (2019) - [j8]Xingyuan Wang, Yu Wang
, Xiaoqiang Zhu
, Salahuddin Unar
:
Image encryption scheme based on Chaos and DNA plane operations. Multim. Tools Appl. 78(18): 26111-26128 (2019) - [c19]Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai:
Deep Interest Evolution Network for Click-Through Rate Prediction. AAAI 2019: 5941-5948 - [c18]Xiaoqiang Zhu, Jingzhong Fang
, Maiying Zhong, Yang Liu:
The Parity Space-based Fault Detection for Linear Discrete Time Systems with Integral Measurements. CAA SAFEPROCESS 2019: 18-22 - [c17]Zhongzheng Cao, Rui Wang, Xiangyang Wang, Zhi Liu
, Xiaoqiang Zhu:
Improving Human Pose Estimation with Self-Attention Generative Adversarial Networks. ICME Workshops 2019: 567-572 - [c16]Dongyao Wang, Sung-Hwan Kim, Xiaoqiang Zhu:
Enhanced Probability-Based Grant-Free Uplink Data Transmission in 5G mMTC. I-SPAN 2019: 227-239 - [c15]Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. KDD 2019: 2671-2679 - [c14]Kan Ren, Jiarui Qin
, Yuchen Fang
, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai:
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. SIGIR 2019: 565-574 - [i10]Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai:
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. CoRR abs/1905.00758 (2019) - [i9]Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. CoRR abs/1905.09248 (2019) - [i8]Guorui Zhou, Kailun Wu, Weijie Bian, Zhao Yang, Xiaoqiang Zhu, Kun Gai:
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling. CoRR abs/1906.10304 (2019) - [i7]Zheng Gao, Lin Guo, Chi Ma, Xiao Ma, Kai Sun, Hang Xiang, Xiaoqiang Zhu, Hongsong Li, Xiaozhong Liu:
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data. CoRR abs/1907.06582 (2019) - 2018
- [j7]Xingyuan Wang
, Xiaoqiang Zhu
, Yingqian Zhang
:
An Image Encryption Algorithm Based on Josephus Traversing and Mixed Chaotic Map. IEEE Access 6: 23733-23746 (2018) - [j6]Mengyao Zhu
, Huan Yao, Xiukun Wu, Zhihua Lu, Xiaoqiang Zhu, Qinghua Huang:
Gaussian filter for TDOA based sound source localization in multimedia surveillance. Multim. Tools Appl. 77(3): 3369-3385 (2018) - [c13]Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai:
Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net. AAAI 2018: 4580-4587 - [c12]Tiezheng Ge, Liqin Zhao, Guorui Zhou, Keyu Chen, Shuying Liu, Huiming Yi, Zelin Hu, Bochao Liu, Peng Sun, Haoyu Liu, Pengtao Yi, Sui Huang, Zhiqiang Zhang, Xiaoqiang Zhu, Yu Zhang, Kun Gai:
Image Matters: Visually Modeling User Behaviors Using Advanced Model Server. CIKM 2018: 2087-2095 - [c11]Xiukun Wu, Mengyao Zhu, Renjie Wu, Xiaoqiang Zhu:
A Self-adapting GMM based Voice Activity Detection. DSP 2018: 1-5 - [c10]Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai:
Deep Interest Network for Click-Through Rate Prediction. KDD 2018: 1059-1068 - [c9]Xiao Ma, Liqin Zhao, Guan Huang, Zhi Wang, Zelin Hu, Xiaoqiang Zhu, Kun Gai:
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate. SIGIR 2018: 1137-1140 - [i6]Xiao Ma, Liqin Zhao, Guan Huang, Zhi Wang, Zelin Hu, Xiaoqiang Zhu, Kun Gai:
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate. CoRR abs/1804.07931 (2018) - [i5]Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai:
Deep Interest Evolution Network for Click-Through Rate Prediction. CoRR abs/1809.03672 (2018) - 2017
- [j5]Xiaoqiang Zhu
, Lei Song, Lihua You, Mengyao Zhu, Xiangyang Wang, Xiaogang Jin:
Brush2Model: Convolution surface-based brushes for 3D modelling in head-mounted display-based virtual environments. Comput. Animat. Virtual Worlds 28(3-4) (2017) - [c8]Xiangyang Wang, Jiacheng Hu, Yusu Jin, Zhi Liu, Xiaoqiang Zhu, Qiuyu Zhu, Haiwu Zhao:
Human Pose Estimation via Deep Part Detection. IFTC 2017: 55-66 - [i4]Kun Gai, Xiaoqiang Zhu, Han Li, Kai Liu, Zhe Wang:
Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction. CoRR abs/1704.05194 (2017) - [i3]Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Xiao Ma, Yanghui Yan, Xingya Dai, Han Zhu, Junqi Jin, Han Li, Kun Gai:
Deep Interest Network for Click-Through Rate Prediction. CoRR abs/1706.06978 (2017) - [i2]Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai:
Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net. CoRR abs/1708.04106 (2017) - [i1]Tiezheng Ge, Liqin Zhao, Guorui Zhou, Keyu Chen, Shuying Liu, Huiming Yi, Zelin Hu, Bochao Liu, Peng Sun, Haoyu Liu, Pengtao Yi, Sui Huang, Zhiqiang Zhang, Xiaoqiang Zhu, Yu Zhang, Kun Gai:
Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior. CoRR abs/1711.06505 (2017) - 2016
- [c7]Xiangyang Wang, Yusu Jin, Zhi Liu, Yadong Zhao, Xiaoqiang Zhu, Juan Zhang:
Multi-scale Deep Residual Networks for Fine-Grained Image Classification. IFTC 2016: 205-217 - 2015
- [j4]Xiaoqiang Zhu, Xiaogang Jin, Lihua You:
Analytical solutions for tree-like structure modelling using subdivision surfaces. Comput. Animat. Virtual Worlds 26(1): 29-42 (2015) - [j3]Xiaoqiang Zhu, Xiaogang Jin, Lihua You:
High-quality tree structures modelling using local convolution surface approximation. Vis. Comput. 31(1): 69-82 (2015) - 2014
- [c6]Kai Liu, Junli Chen, Suo Wang, Xiaoqiang Zhu:
Procedural modeling of buildings based on façade image segmentation. ICAILP 2014: 797-801 - [c5]Juan Zhang, Wenbin Huang, Xiaoqiang Zhu, Jenq-Neng Hwang:
A subjective quality evaluation for 3D point cloud models. ICAILP 2014: 827-831 - [c4]Xiaoqiang Zhu, Junli Chen, Juan Zhang:
A two-phase approximation of cylindrical branching models. ICAILP 2014: 846-849 - 2013
- [j2]Xiaoqiang Zhu, Xuekun Guo, Xiaogang Jin:
Efficient polygonization of tree trunks modeled by convolution surfaces. Sci. China Inf. Sci. 56(3): 1-12 (2013) - [c3]Xiangfei Li, Xuzhi Wang, Wanggen Wan, Xiaoqiang Zhu, Xiaoqing Yu:
Parallel Simulation of Large-Scale Universal Particle Systems Using CUDA. DASC 2013: 572-577 - [c2]Xiaoqiang Zhu, Xiaogang Jin, Lihua You:
Efficient tree-like structures modeling based on subdivision surfaces. VRCAI 2013: 199-206 - 2012
- [j1]Xiaoqiang Zhu, Xiaogang Jin, Shengjun Liu, Hanli Zhao:
Analytical solutions for sketch-based convolution surface modeling on the GPU. Vis. Comput. 28(11): 1115-1125 (2012) - [c1]Xiaoqiang Zhu, Pinghua Gong, Zeng-Shun Zhao
, Changshui Zhang:
Learning similarity metric with SVM. IJCNN 2012: 1-8
Coauthor Index
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