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ORCIDRong Jin 0001
Person information
- affiliation: Alibaba Group, Machine Intelligence Technology, Bellevue, WA, USA
- affiliation (2003 - 2015): Michigan State University, Department of Computer Science & Engineering, East Lansing, MI, USA
- affiliation (PhD 2003): Carnegie Mellon University, Pittsburgh, PA, USA
Other persons with the same name
- Rong Jin — disambiguation page
- Rong Jin 0002
![[0000-0001-7817-2812]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7817-2812")
— Huazhong University of Science and Technology, School of Electronic Information and Communications, Science and Technology on Multi-Spectral Information Processing Laboratory, Wuhan, China (and 1 more) - Rong Jin 0003 — University of Texas at Dallas, Department of Computer Science, Dallas, TX, USA
- Rong Jin 0004 — Indiana University Bloomington, School of Informatics and Computing, Bloomington, IN, USA
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2020 – today
- 2023
[i116]Xiang Wang, Shiwei Zhang, Zhiwu Qing, Zhengrong Zuo, Changxin Gao, Rong Jin, Nong Sang:
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition. CoRR abs/2301.03330 (2023)- 2022
- [c269]Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin:
Scaled ReLU Matters for Training Vision Transformers. AAAI 2022: 2495-2503 - [c268]Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Rong Jin:
A Trend-Driven Fashion Design System for Rapid Response Marketing in E-commerce. AAAI 2022: 13179-13181 - [c267]Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung:
CHEX: CHannel EXploration for CNN Model Compression. CVPR 2022: 12277-12288 - [c266]Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yi Xu, Xiang Wang, Mingqian Tang, Changxin Gao, Rong Jin, Nong Sang:
Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency. CVPR 2022: 13811-13821 - [c265]Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin:
Unsupervised Visual Representation Learning by Online Constrained K-Means. CVPR 2022: 16619-16628 - [c264]Xiang Wang, Shiwei Zhang, Zhiwu Qing, Mingqian Tang, Zhengrong Zuo, Changxin Gao, Rong Jin, Nong Sang:
Hybrid Relation Guided Set Matching for Few-shot Action Recognition. CVPR 2022: 19916-19925 - [c263]Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang, Du Zhang, Zhen Lei, Hao Li, Rong Jin:
Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition. CVPR 2022: 20122-20131 - [c262]Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin:
TransFGU: A Top-Down Approach to Fine-Grained Unsupervised Semantic Segmentation. ECCV (29) 2022: 73-89 - [c261]Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin:
KVT: k-NN Attention for Boosting Vision Transformers. ECCV (24) 2022: 285-302 - [c260]Yuqi Zhang, Qi Qian, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin:
Graph Convolution for Re-Ranking in Person Re-Identification. ICASSP 2022: 2704-2708 - [c259]Yutong Feng, Jianwen Jiang, Mingqian Tang, Rong Jin, Yue Gao:
Rethinking Supervised Pre-Training for Better Downstream Transferring. ICLR 2022 - [c258]Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie:
Effective Model Sparsification by Scheduled Grow-and-Prune Methods. ICLR 2022 - [c257]Yichen Qian, Xiuyu Sun, Ming Lin, Zhiyu Tan, Rong Jin:
Entroformer: A Transformer-based Entropy Model for Learned Image Compression. ICLR 2022 - [c256]Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin:
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation. ICLR 2022 - [c255]Zhenhong Sun, Ming Lin, Xiuyu Sun, Zhiyu Tan, Hao Li, Rong Jin:
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection. ICML 2022: 20810-20826 - [c254]Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin:
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. ICML 2022: 27268-27286 - [i115]Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin:
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. CoRR abs/2201.12740 (2022) - [i114]Yichen Qian, Ming Lin, Xiuyu Sun, Zhiyu Tan, Rong Jin:
Entroformer: A Transformer-based Entropy Model for Learned Image Compression. CoRR abs/2202.05492 (2022) - [i113]Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung:
CHEX: CHannel EXploration for CNN Model Compression. CoRR abs/2203.15794 (2022) - [i112]Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yi Xu, Xiang Wang, Mingqian Tang, Changxin Gao, Rong Jin, Nong Sang:
Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency. CoRR abs/2204.03017 (2022) - [i111]Xiang Wang, Shiwei Zhang, Zhiwu Qing, Mingqian Tang, Zhengrong Zuo, Changxin Gao, Rong Jin, Nong Sang:
Hybrid Relation Guided Set Matching for Few-shot Action Recognition. CoRR abs/2204.13423 (2022) - [i110]Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin:
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. CoRR abs/2205.08897 (2022) - [i109]Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Xiangyang Ji, Antoni B. Chan:
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation. CoRR abs/2205.12753 (2022) - [i108]Tian Zhou, Jianqing Zhu, Xue Wang, Ziqing Ma, Qingsong Wen, Liang Sun, Rong Jin:
TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting. CoRR abs/2206.12106 (2022) - [i107]Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin:
Robust Graph Structure Learning over Images via Multiple Statistical Tests. CoRR abs/2210.03956 (2022) - [i106]Xinwei Zhang, Jianwen Jiang, Yutong Feng, Zhi-Fan Wu, Xibin Zhao, Hai Wan, Mingqian Tang, Rong Jin, Yue Gao:
Grow and Merge: A Unified Framework for Continuous Categories Discovery. CoRR abs/2210.04174 (2022) - [i105]Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang:
FedX: Federated Learning for Compositional Pairwise Risk Optimization. CoRR abs/2210.14396 (2022) - 2021
- [j54]Rong Jin, David Simchi-Levi, Li Wang, Xinshang Wang, Sen Yang:
Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses. Manag. Sci. 67(8): 4756-4771 (2021) - [j53]Kang Zhao, Liuyihan Song, Yingya Zhang, Pan Pan, Yinghui Xu, Rong Jin:
ANN Softmax: Acceleration of Extreme Classification Training. Proc. VLDB Endow. 15(1): 1-10 (2021) - [c253]Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin:
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning. AAAI 2021: 8706-8714 - [c252]Ziyuan Huang, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Rong Jin, Marcelo H. Ang:
Self-Supervised Motion Learning From Static Images. CVPR 2021: 1276-1285 - [c251]Li Hu, Peng Zhang, Bang Zhang, Pan Pan, Yinghui Xu, Rong Jin:
Learning Position and Target Consistency for Memory-Based Video Object Segmentation. CVPR 2021: 4144-4154 - [c250]Liuyihan Song, Kang Zhao, Pan Pan, Yu Liu, Yingya Zhang, Yinghui Xu, Rong Jin:
Communication Efficient SGD via Gradient Sampling With Bayes Prior. CVPR 2021: 12065-12074 - [c249]Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin:
Self-Supervised Video Representation Learning by Context and Motion Decoupling. CVPR 2021: 13886-13895 - [c248]Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition. ICCV 2021: 337-346 - [c247]Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu:
Weakly Supervised Representation Learning with Coarse Labels. ICCV 2021: 10573-10581 - [c246]Yichen Qian, Zhiyu Tan, Xiuyu Sun, Ming Lin, Dongyang Li, Zhenhong Sun, Hao Li, Rong Jin:
Learning Accurate Entropy Model with Global Reference for Image Compression. ICLR 2021 - [c245]Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin:
Dash: Semi-Supervised Learning with Dynamic Thresholding. ICML 2021: 11525-11536 - [c244]Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang:
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives. NeurIPS 2021: 10067-10080 - [i104]Asaf Noy, Yi Xu, Yonathan Aflalo, Rong Jin:
On the Convergence of Deep Networks with Sample Quadratic Overparameterization. CoRR abs/2101.04243 (2021) - [i103]Jian Tan, Niv Nayman, Mengchang Wang, Rong Jin:
CobBO: Coordinate Backoff Bayesian Optimization. CoRR abs/2101.05147 (2021) - [i102]Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition. CoRR abs/2102.01063 (2021) - [i101]Xiangzeng Zhou, Pan Pan, Yun Zheng, Yinghui Xu, Rong Jin:
Large Scale Long-tailed Product Recognition System at Alibaba. CoRR abs/2102.04652 (2021) - [i100]Kang Zhao, Pan Pan, Yun Zheng, Yanhao Zhang, Changxu Wang, Yingya Zhang, Yinghui Xu, Rong Jin:
Large-Scale Visual Search with Binary Distributed Graph at Alibaba. CoRR abs/2102.04656 (2021) - [i99]Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Jianmin Wu, Yinghui Xu, Rong Jin:
Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance. CoRR abs/2102.04667 (2021) - [i98]Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin:
Visual Search at Alibaba. CoRR abs/2102.04674 (2021) - [i97]Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin:
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning. CoRR abs/2102.04848 (2021) - [i96]Liuyihan Song, Pan Pan, Kang Zhao, Hao Yang, Yiming Chen, Yingya Zhang, Yinghui Xu, Rong Jin:
Large-Scale Training System for 100-Million Classification at Alibaba. CoRR abs/2102.06025 (2021) - [i95]Ziyuan Huang, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Rong Jin, Marcelo H. Ang:
Self-supervised Motion Learning from Static Images. CoRR abs/2104.00240 (2021) - [i94]Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin:
Self-supervised Video Representation Learning by Context and Motion Decoupling. CoRR abs/2104.00862 (2021) - [i93]Yi Xu, Qi Qian, Hao Li, Rong Jin:
A Theoretical Analysis of Learning with Noisily Labeled Data. CoRR abs/2104.04114 (2021) - [i92]Li Hu, Peng Zhang, Bang Zhang, Pan Pan, Yinghui Xu, Rong Jin:
Learning Position and Target Consistency for Memory-based Video Object Segmentation. CoRR abs/2104.04329 (2021) - [i91]Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang:
On Stochastic Moving-Average Estimators for Non-Convex Optimization. CoRR abs/2104.14840 (2021) - [i90]Yi Xu, Qi Qian, Hao Li, Rong Jin:
Why Does Multi-Epoch Training Help? CoRR abs/2105.06015 (2021) - [i89]Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin:
Unsupervised Visual Representation Learning by Online Constrained K-Means. CoRR abs/2105.11527 (2021) - [i88]Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Wen Xie, Hao Li, Rong Jin:
KVT: k-NN Attention for Boosting Vision Transformers. CoRR abs/2106.00515 (2021) - [i87]Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie:
Effective Model Sparsification by Scheduled Grow-and-Prune Methods. CoRR abs/2106.09857 (2021) - [i86]Yuqi Zhang, Qian Qi, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin:
Graph Convolution for Re-ranking in Person Re-identification. CoRR abs/2107.02220 (2021) - [i85]Zhiwu Qing, Ziyuan Huang, Shiwei Zhang, Mingqian Tang, Changxin Gao, Marcelo H. Ang Jr., Rong Jin, Nong Sang:
ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning. CoRR abs/2108.10501 (2021) - [i84]Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin:
Dash: Semi-Supervised Learning with Dynamic Thresholding. CoRR abs/2109.00650 (2021) - [i83]Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin:
Scaled ReLU Matters for Training Vision Transformers. CoRR abs/2109.03810 (2021) - [i82]Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin:
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation. CoRR abs/2109.06165 (2021) - [i81]Yutong Feng, Jianwen Jiang, Mingqian Tang, Rong Jin, Yue Gao:
Rethinking supervised pre-training for better downstream transferring. CoRR abs/2110.06014 (2021) - [i80]Niv Nayman, Yonathan Aflalo, Asaf Noy, Rong Jin, Lihi Zelnik-Manor:
IQNAS: Interpretable Integer Quadratic Programming Neural Architecture Search. CoRR abs/2110.12399 (2021) - [i79]Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Weihua Chen, Xianzhe Xu, Fan Wang, Zheng Cao, Zhicheng Zhang, Qiyu Zhang, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin:
Achieving Human Parity on Visual Question Answering. CoRR abs/2111.08896 (2021) - [i78]Hao Luo, Pichao Wang, Yi Xu, Feng Ding, Yanxin Zhou, Fan Wang, Hao Li, Rong Jin:
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification. CoRR abs/2111.12084 (2021) - [i77]Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Antoni B. Chan, Rong Jin:
Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice. CoRR abs/2111.12292 (2021) - [i76]Zhenhong Sun, Ming Lin, Xiuyu Sun, Zhiyu Tan, Rong Jin:
Revisiting Efficient Object Detection Backbones from Zero-Shot Neural Architecture Search. CoRR abs/2111.13336 (2021) - [i75]Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin:
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation. CoRR abs/2112.01515 (2021) - [i74]Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang:
A Novel Convergence Analysis for Algorithms of the Adam Family. CoRR abs/2112.03459 (2021) - [i73]Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang, Du Zhang, Zhen Lei, Hao Li, Rong Jin:
Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition. CoRR abs/2112.09129 (2021) - [i72]Jingkai Zhou, Pichao Wang, Fan Wang, Qiong Liu, Hao Li, Rong Jin:
ELSA: Enhanced Local Self-Attention for Vision Transformer. CoRR abs/2112.12786 (2021) - 2020
- [j52]Tianbao Yang, Lijun Zhang, Qihang Lin, Shenghuo Zhu, Rong Jin:
High-dimensional model recovery from random sketched data by exploring intrinsic sparsity. Mach. Learn. 109(5): 899-938 (2020) - [j51]Faraz Ahmed, Alex X. Liu, Rong Jin:
Publishing Social Network Graph Eigenspectrum With Privacy Guarantees. IEEE Trans. Netw. Sci. Eng. 7(2): 892-906 (2020) - [c243]Xiangzeng Zhou, Pan Pan, Yun Zheng, Yinghui Xu, Rong Jin:
Large Scale Long-tailed Product Recognition System at Alibaba. CIKM 2020: 3353-3356 - [c242]Qi Qian, Lei Chen, Hao Li, Rong Jin:
DR Loss: Improving Object Detection by Distributional Ranking. CVPR 2020: 12161-12169 - [c241]Liang Han, Zhaozheng Yin, Zhurong Xia, Li Guo, Mingqian Tang, Rong Jin:
Price Suggestion for Online Second-hand Items. ICPR 2020: 5920-5927 - [c240]Yang Jiao, Liang Han, Rong Jin, Yi-Jung Su, Chiente Ho, Li Yin, Yun Li, Long Chen, Zhen Chen, Lu Liu, Zhuyu He, Yu Yan, Jun He, Jun Mao, Xiaotao Zai, Xuejun Wu, Yongquan Zhou, Mingqiu Gu, Guocai Zhu, Rong Zhong, Wenyuan Lee, Ping Chen, Yiping Chen, Weiliang Li, Deyu Xiao, Qing Yan, Mingyuan Zhuang, Jiejun Chen, Yun Tian, Yingzi Lin, Wei Wu, Hao Li, Zesheng Dou:
7.2 A 12nm Programmable Convolution-Efficient Neural-Processing-Unit Chip Achieving 825TOPS. ISSCC 2020: 136-140 - [c239]Liuyihan Song, Pan Pan, Kang Zhao, Hao Yang, Yiming Chen, Yingya Zhang, Yinghui Xu, Rong Jin:
Large-Scale Training System for 100-Million Classification at Alibaba. KDD 2020: 2909-2930 - [c238]Liang Han, Zhaozheng Yin, Zhurong Xia, Minqian Tang, Rong Jin:
Price Suggestion for Online Second-hand Items with Texts and Images. ACM Multimedia 2020: 2784-2792 - [c237]Rong Jin:
Large-scale Multi-modal Search and QA at Alibaba. SIGIR 2020: 8 - [i71]Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu:
Representation Learning with Fine-grained Patterns. CoRR abs/2005.09681 (2020) - [i70]Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang:
A Practical Online Method for Distributionally Deep Robust Optimization. CoRR abs/2006.10138 (2020) - [i69]Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin:
Towards Understanding Label Smoothing. CoRR abs/2006.11653 (2020) - [i68]Ming Lin, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Neural Architecture Design for GPU-Efficient Networks. CoRR abs/2006.14090 (2020) - [i67]Yi Xu, Asaf Noy, Ming Lin, Qi Qian, Hao Li, Rong Jin:
WeMix: How to Better Utilize Data Augmentation. CoRR abs/2010.01267 (2020) - [i66]Yichen Qian, Zhiyu Tan, Xiuyu Sun, Ming Lin, Dongyang Li, Zhenhong Sun, Hao Li, Rong Jin:
Learning Accurate Entropy Model with Global Reference for Image Compression. CoRR abs/2010.08321 (2020) - [i65]Liang Han, Zhaozheng Yin, Zhurong Xia, Mingqian Tang, Rong Jin:
Price Suggestion for Online Second-hand Items with Texts and Images. CoRR abs/2012.06008 (2020) - [i64]Liang Han, Zhaozheng Yin, Zhurong Xia, Li Guo, Mingqian Tang, Rong Jin:
Vision-based Price Suggestion for Online Second-hand Items. CoRR abs/2012.06009 (2020) - [i63]Qi Qi, Yi Xu, Rong Jin, Wotao Yin, Tianbao Yang:
Attentional Biased Stochastic Gradient for Imbalanced Classification. CoRR abs/2012.06951 (2020)
2010 – 2019
- 2019
- [j50]Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou:
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion. J. Mach. Learn. Res. 20: 97:1-97:22 (2019) - [j49]Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou:
A simple homotopy proximal mapping algorithm for compressive sensing. Mach. Learn. 108(6): 1019-1056 (2019) - [c236]Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin:
Robust Online Matching with User Arrival Distribution Drift. AAAI 2019: 459-466 - [c235]Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin:
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. AAAI 2019: 4312-4319 - [c234]Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li:
Robust Optimization over Multiple Domains. AAAI 2019: 4739-4746 - [c233]Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin:
Semi-Parametric Sampling for Stochastic Bandits with Many Arms. AAAI 2019: 7933-7940 - [c232]Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Jianmin Wu, Yinghui Xu, Rong Jin:
Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance. CIKM 2019: 2489-2497 - [c231]Kang Zhao, Pan Pan, Yun Zheng, Yanhao Zhang, Changxu Wang, Yingya Zhang, Yinghui Xu, Rong Jin:
Large-Scale Visual Search with Binary Distributed Graph at Alibaba. CIKM 2019: 2567-2575 - [c230]Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin:
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. ICCV 2019: 6449-6457 - [c229]Hesen Chen, Ming Lin, Xiuyu Sun, Qian Qi, Hao Li, Rong Jin:
MuffNet: Multi-Layer Feature Federation for Mobile Deep Learning. ICCV Workshops 2019: 2943-2952 - [c228]Yi Xu, Qi Qi, Qihang Lin, Rong Jin, Tianbao Yang:
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence. ICML 2019: 6942-6951 - [c227]Hao Yu, Rong Jin:
On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization. ICML 2019: 7174-7183 - [c226]Hao Yu, Rong Jin, Sen Yang:
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization. ICML 2019: 7184-7193 - [c225]Yi Peng, Miao Xie, Jiahao Liu, Xuying Meng, Nan Li, Cheng Yang, Tao Yao, Rong Jin:
A Practical Semi-Parametric Contextual Bandit. IJCAI 2019: 3246-3252 - [c224]Yi Xu, Zhuoning Yuan, Sen Yang, Rong Jin, Tianbao Yang:
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization. IJCAI 2019: 4003-4009 - [c223]Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin:
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. KDD 2019: 2838-2847 - [c222]Liang Han, Zhaozheng Yin, Zhurong Xia, Li Guo, Mingqian Tang, Rong Jin:
Vision-based Price Suggestion for Online Second-hand Items. ACM Multimedia 2019: 1988-1996 - [c221]Niv Nayman, Asaf Noy, Tal Ridnik, Itamar Friedman, Rong Jin, Lihi Zelnik-Manor:
XNAS: Neural Architecture Search with Expert Advice. NeurIPS 2019: 1975-1985 - [c220]Zhuoning Yuan, Yan Yan, Rong Jin, Tianbao Yang:
Stagewise Training Accelerates Convergence of Testing Error Over SGD. NeurIPS 2019: 2604-2614 - [c219]Yi Xu, Rong Jin, Tianbao Yang:
Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems. NeurIPS 2019: 2626-2636 - [c218]Yi Xu, Shenghuo Zhu, Sen Yang, Chi Zhang, Rong Jin, Tianbao Yang:
Learning with Non-Convex Truncated Losses by SGD. UAI 2019: 701-711 - [i62]Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin:
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee. CoRR abs/1901.11149 (2019) - [i61]