阿里巴巴达摩院阿里巴巴达摩院发表的相关论文
Yanhao Zhang, Pan Pan, Yun Zheng,Kang Zhao, Yingya Zhang,Xiaofeng Ren,Rong Jin
KDD, pp.993-1001, (2021)
The deep CNN model with branches is designed for joint detection and feature learning by mining user click behavior without further annotations
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CIKM, pp.2077-2085, (2020)
We summarize two fundamental weaknesses of attackers, namely “Device aggregation” and “Activity aggregation”, and naturally present a neural network approach based on heterogeneous account-device graphs
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CVPR, pp.1400-1409, (2020)
We present a Cascaded Refinement Network that generate accurate segmentations under the guidance of coarse results from the optical flow-based active contour
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THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTI..., pp.257-264, (2020)
We proposed a Decentralized Matrix Factorization framework for Points of interest recommendation
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DASFAA, pp.764-775, (2020)
We describe a method to unpack the interpretation for the advanced model gradient boosting decision tree
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Chen Bin-Bin, Gao Yuan, Guo Yi-Bin, Liu Yuzhi,Zhao Hui-Hai, Liao Hai-Jun,Wang Lei,Xiang Tao,Li Wei,Xie Z. Y.
Physical Review B, no. 22 (2020)
Facilitated by the automatic differentiation technique widely used in deep learning, we propose a uniform framework of differentiable Tensor renormalization group that can be applied to improve various Tensor renormalization group methods, in an automatic fashion
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ACM Transactions on Graphics (TOG), no. 1 (2019)
All networks are trained on strictly binary silhouettes, but we overlay a checkerboard texture on the source shape to clearly visualize the smoothness of the estimated mappings and display the texture transfer abilities facilitated by our system
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Gui Huang,Xuntao Cheng, Jianying Wang,Yujie Wang, Dengcheng He, Tieying Zhang,Feifei Li,Sheng Wang,Wei Cao, Qiang Li
Proceedings of the 2019 International Conference on Management of Data, pp.651-665, (2019)
We introduce X-Engine, an OLTP storage engine, optimized for the largest e-commerce platform in the world at Alibaba, serving more than 600 million active customers globally
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Jian Tan, Tieying Zhang,Feifei Li, Jie Chen, Qixing Zheng,Ping Zhang, Honglin Qiao,Yue Shi,Wei Cao, Rui Zhang
Proceedings of the VLDB Endowment, no. 10 (2019): 1221-1234
We propose iBTune to adjust DBMS buffer pool sizes by using a large deviation analysis for least recently used caching models and leveraging the similar instances based on performance metrics to find tolerable miss ratios
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IJCAI, (2019)
We study the sequential subset selection problem with linear utility multinomial logit choice model, and propose a UCBstyle algorithm, Linear Utility MNL-Bandit
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Chaoqun Zhan, Maomeng Su, Chuangxian Wei, Xiaoqiang Peng,Liang Lin,Sheng Wang, Zhe Chen,Feifei Li, Yue Pan, Fang Zheng,Chengliang Chai
PVLDB, no. 12 (2019): 2059-2070
To further improve query latency and concurrency, we enhance the optimizer and execution engine in AnalyticDB to fully utilize the advantages of our storage and indexes
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Cupjin Huang, Michael Newman,Mario Szegedy
arXiv: Quantum Physics, (2019)
Assuming the Exponential Time Hypothesis, there is an > 0 such that any strong simulation that can determine if 0|C|0| = 0 of a polynomial-sized quantum circuit C formed from the Clifford+T gate set with N T -gates takes time at least 2 N
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Fang Zhang, Jianxin Chen
arXiv: Quantum Physics, (2019)
We present a new optimization technique to reduce the number of T gates in Clifford+T circuits by treating every gate conjugated by
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World Wide Web, no. 1 (2019): 153-184
– We propose weighted Heterogeneous Information Network and weighted meta path to consider attribute values on links in information networks
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Huang Cupjin,Szegedy Mario, Zhang Fang, Gao Xun, Chen Jianxin,Shi Yaoyun
To compare our Quantum Approximate Optimization Algorithm simulator with existing quantum simulation package equipped with QAOA functionalities, we choose MAX-CUT problems on a random regular graph and compare the time spent for a single energy function query
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Zhang Fang,Huang Cupjin, Newman Michael, Cai Junjie, Yu Huanjun, Tian Zhengxiong, Yuan Bo, Xu Haihong, Wu Junyin, Gao Xun, Chen Jianxin,Szegedy Mario
Several variables will affect the performance of our simulator:
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Jiuxiang Gu,Zhenhua Wang, Jason Kuen, Lianyang Ma,Amir Shahroudy,Bing Shuai, Ting Liu, Xingxing Wang,Gang Wang,Jianfei Cai,Tsuhan Chen
Pattern Recognition, (2018): 354-377
Beyond surveying the advances of each aspect of Convolutional Neural Network, we have introduced the application of Convolutional Neural Network on many tasks, including image classification, object detection, object tracking, pose estimation, text detection, visual saliency dete...
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ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), (2018)
We presented an end-to-end machine learning framework for automatically designing greedy heuristics for hard combinatorial optimization problems on graphs
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computer vision and pattern recognition, (2018)
Degradation maps are obtained by a simple dimensionality stretching of the degradation parameters
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CVPR, pp.714-722, (2018)
We propose a novel progressive attention guided recurrent network, which selectively integrates contextual information from multi-level features to generate powerful attentive features
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