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Jing Rong
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- affiliation: Michigan State University, East Lansing, USA
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2020 – today
- 2021
[j76]Rong Jin
, Weili Wu:
Schemes of propagation models and source estimators for rumor source detection in online social networks: A short survey of a decade of research. Discret. Math. Algorithms Appl. 13(4): 2130002:1-2130002:12 (2021)- [j75]Qiufen Ni, Smita Ghosh, Chuanhe Huang, Weili Wu, Rong Jin:
Discount allocation for cost minimization in online social networks. J. Comb. Optim. 41(1): 213-233 (2021) - [j74]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) - [j73]Shengminjie Chen, Wenguo Yang, Suixiang Gao, Rong Jin:
Novel algorithms for maximum DS decomposition. Theor. Comput. Sci. 857: 87-96 (2021) - [j72]Rong Jin, Kai Zeng:
Manipulative Attack Against Physical Layer Key Agreement and Countermeasure. IEEE Trans. Dependable Secur. Comput. 18(1): 475-489 (2021) - [j71]Haofeng Dou, Ke Chen, Qingxia Li, Rong Jin, Yuanchao Wu, Zhenyu Lei:
Analysis and Correction of the Rank-Deficient Error for 2-D Mirrored Aperture Synthesis. IEEE Trans. Geosci. Remote. Sens. 59(3): 2222-2230 (2021) - [j70]Rong Jin, Kai Zeng, Kai Zhang:
A Reassessment on Friendly Jamming Efficiency. IEEE Trans. Mob. Comput. 20(1): 32-47 (2021) - [c279]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 - [c278]Ziyuan Huang, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Rong Jin, Marcelo H. Ang:
Self-Supervised Motion Learning From Static Images. CVPR 2021: 1276-1285 - [c277]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 - [c276]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 - [c275]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 - [c274]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 - [c273]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 - [i100]Rong Jin, Weili Wu:
Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research. CoRR abs/2101.00753 (2021) - [i99]Asaf Noy, Yi Xu, Yonathan Aflalo, Rong Jin:
On the Convergence of Deep Networks with Sample Quadratic Overparameterization. CoRR abs/2101.04243 (2021) - [i98]Jian Tan, Niv Nayman, Mengchang Wang, Rong Jin:
CobBO: Coordinate Backoff Bayesian Optimization. CoRR abs/2101.05147 (2021) - [i97]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) - [i96]Xiangzeng Zhou, Pan Pan, Yun Zheng, Yinghui Xu, Rong Jin:
Large Scale Long-tailed Product Recognition System at Alibaba. CoRR abs/2102.04652 (2021) - [i95]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) - [i94]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) - [i93]Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin:
Visual Search at Alibaba. CoRR abs/2102.04674 (2021) - [i92]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) - [i91]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) - [i90]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) - [i89]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) - [i88]Yi Xu, Qi Qian, Hao Li, Rong Jin:
A Theoretical Analysis of Learning with Noisily Labeled Data. CoRR abs/2104.04114 (2021) - [i87]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) - [i86]Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang:
On Stochastic Moving-Average Estimators for Non-Convex Optimization. CoRR abs/2104.14840 (2021) - [i85]Yi Xu, Qi Qian, Hao Li, Rong Jin:
Why Does Multi-Epoch Training Help? CoRR abs/2105.06015 (2021) - [i84]Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin:
Unsupervised Visual Representation Learning by Online Constrained K-Means. CoRR abs/2105.11527 (2021) - [i83]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) - [i82]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) - [i81]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) - [i80]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) - [i79]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) - [i78]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) - [i77]Yutong Feng, Jianwen Jiang, Mingqian Tang, Rong Jin, Yue Gao:
Rethinking supervised pre-training for better downstream transferring. CoRR abs/2110.06014 (2021) - [i76]Niv Nayman, Yonathan Aflalo, Asaf Noy, Rong Jin, Lihi Zelnik-Manor:
IQNAS: Interpretable Integer Quadratic Programming Neural Architecture Search. CoRR abs/2110.12399 (2021) - [i75]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) - [i74]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) - [i73]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) - [i72]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) - 2020
- [j69]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) - [j68]Rong Jin, Qingxia Li, Hang Liu:
A Subspace Algorithm to Mitigate Energy Unknown RFI for Synthetic Aperture Interferometric Radiometer. IEEE Trans. Geosci. Remote. Sens. 58(1): 227-237 (2020) - [j67]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) - [c272]Xiangzeng Zhou, Pan Pan, Yun Zheng, Yinghui Xu, Rong Jin:
Large Scale Long-tailed Product Recognition System at Alibaba. CIKM 2020: 3353-3356 - [c271]Shengminjie Chen, Wenguo Yang, Suixiang Gao, Rong Jin:
Novel Algorithms for Maximum DS Decomposition. COCOA 2020: 624-638 - [c270]Qi Qian, Lei Chen, Hao Li, Rong Jin:
DR Loss: Improving Object Detection by Distributional Ranking. CVPR 2020: 12161-12169 - [c269]Liang Han, Zhaozheng Yin, Zhurong Xia, Li Guo, Mingqian Tang, Rong Jin:
Price Suggestion for Online Second-hand Items. ICPR 2020: 5920-5927 - [c268]Yan Li, Xiaobin Yin, Wu Zhou, Mingsen Lin, Chaofei Ma, Rong Jin, Hao Liu, Yinan Li:
Simulation Analysis of Payload IMR and MICAP Onboard Chinese Ocean Salinity Satellite. IGARSS 2020: 5635-5638 - [c267]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 - [c266]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 - [c265]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 - [c264]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
- [j66]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) - [j65]Wenjie Zhang, Hui Li, Rong Jin, Shanlin Wei, Wei Cheng, Weisi Kong, Penglu Liu:
Distributed Structured Compressive Sensing-Based Time-Frequency Joint Channel Estimation for Massive MIMO-OFDM Systems. Mob. Inf. Syst. 2019: 2634361:1-2634361:16 (2019) - [j64]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) - [c263]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 - [c262]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 - [c261]Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li:
Robust Optimization over Multiple Domains. AAAI 2019: 4739-4746 - [c260]Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin:
Semi-Parametric Sampling for Stochastic Bandits with Many Arms. AAAI 2019: 7933-7940 - [c259]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 - [c258]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 - [c257]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 - [c256]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 - [c255]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 - [c254]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 - [c253]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 - [c252]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 - [c251]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 - [c250]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 - [c249]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 - [c248]Niv Nayman, Asaf Noy, Tal Ridnik, Itamar Friedman, Rong Jin, Lihi Zelnik-Manor:
XNAS: Neural Architecture Search with Expert Advice. NeurIPS 2019: 1975-1985 - [c247]Zhuoning Yuan, Yan Yan, Rong Jin, Tianbao Yang:
Stagewise Training Accelerates Convergence of Testing Error Over SGD. NeurIPS 2019: 2604-2614 - [c246]Yi Xu, Rong Jin, Tianbao Yang:
Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems. NeurIPS 2019: 2626-2636 - [c245]Midori Kitagawa, Paul A. Fishwick, Michael Kesden, Mary Urquhart, Rosanna Guadagno, Rong Jin, Ngoc Tran, Erik Omogbehin, Aditya Prakash, Priyanka Awaraddi, Baily Hale, Ken Suura, Aniket Raj, James Stanfield, Henry Vo:
Scaffolded Training Environment for Physics Programming (STEPP): Modeling High School Physics using Concept Maps and State Machines. SIGSIM-PADS 2019: 127-136 - [c244]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]Rong Jin, David Simchi-Levi, Li Wang, Xinshang Wang, Sen Yang:
Conservative Exploration for Semi-Bandits with Linear Generalization: A Product Selection Problem for Urban Warehouses. CoRR abs/1903.07844 (2019) - [i60]Hao Yu, Rong Jin, Sen Yang:
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization. CoRR abs/1905.03817 (2019) - [i59]Hao Yu, Rong Jin:
On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization. CoRR abs/1905.04346 (2019) - [i58]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. CoRR abs/1906.01095 (2019) - [i57]Niv Nayman, Asaf Noy, Tal Ridnik, Itamar Friedman, Rong Jin, Lihi Zelnik-Manor:
XNAS: Neural Architecture Search with Expert Advice. CoRR abs/1906.08031 (2019) - [i56]Qi Qian, Lei Chen, Hao Li, Rong Jin:
DR Loss: Improving Object Detection by Distributional Ranking. CoRR abs/1907.10156 (2019) - [i55]Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin:
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. CoRR abs/1909.05235 (2019) - 2018
- [j63]Rong Jin, Jiaojiao Li, Xin Tuo, Weiming Wang, Xiaolin Li:
A congestion control method of SDN data center based on reinforcement learning. Int. J. Commun. Syst. 31(17) (2018) - [j62]Yanli Wang, Guofu Yin, Rong Jin:
一种新的传感器网络能量收集优化技术 (New Optimized Energy Harvesting Technology for Sensor Networks). 计算机科学 45(11): 82-86 (2018) - [j61]Rong Jin, Kai Zeng:
Secure Inductive-Coupled Near Field Communication at Physical Layer. IEEE Trans. Inf. Forensics Secur. 13(12): 3078-3093 (2018) - [j60]Rong Jin, Kai Zeng:
Physical layer multi-user key generation in wireless networks. Wirel. Networks 24(4): 1043-1054 (2018) - [c243]Cong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin:
Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM. AAAI 2018: 3466-3473 - [c242]Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin:
Large-Scale Distance Metric Learning With Uncertainty. CVPR 2018: 8542-8550 - [c241]Bin Wang, Pan Pan, Qinjie Xiao, Likang Luo, Xiaofeng Ren, Rong Jin, Xiaogang Jin:
Seamless Color Mapping for 3D Reconstruction with Consumer-Grade Scanning Devices. ECCV Workshops (1) 2018: 633-648 - [c240]Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou:
Dynamic Regret of Strongly Adaptive Methods. ICML 2018: 5877-5886 - [c239]Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin:
Multinomial Logit Bandit with Linear Utility Functions. IJCAI 2018: 2602-2608 - [c238]Lakshmi Sharma, Rong Jin, Balakrishnan Prabhakaran, Murry Gans:
LearnDNA: an interactive VR application for learning DNA structure. IWISC 2018: 80-87 - [c237]Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin:
Visual Search at Alibaba. KDD 2018: 993-1001 - [c236]Mingrui Liu, Xiaoxuan Zhang, Lijun Zhang, Jing Rong, Tianbao Yang:
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions. NeurIPS 2018: 4683-4694 - [c235]Yi Xu, Jing Rong, Tianbao Yang:
First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time. NeurIPS 2018: 5535-5545 - [c234]Jinjing Zhao, Ling Pang, Xiaohui Kuang, Rong Jin:
Balancing the QOS and Security in Dijkstra Algorithm by SDN Technology. NPC 2018: 126-131 - [r2]Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu:
Combining Link and Content for Community Detection. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i54]Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin:
Multinomial Logit Bandit with Linear Utility Functions. CoRR abs/1805.02971 (2018) - [i53]Mingrui Liu, Xiaoxuan Zhang, Lijun Zhang, Rong Jin, Tianbao Yang:
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions. CoRR abs/1805.04577 (2018) - [i52]Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li:
Robust Optimization over Multiple Domains. CoRR abs/1805.07588 (2018) - [i51]Yi Xu, Shenghuo Zhu, Sen Yang, Chi Zhang, Rong Jin, Tianbao Yang:
Learning with Non-Convex Truncated Losses by SGD. CoRR abs/1805.07880 (2018) - [i50]Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin:
Large-scale Distance Metric Learning with Uncertainty. CoRR abs/1805.10384 (2018) - [i49]Tianbao Yang, Yan Yan, Zhuoning Yuan, Rong Jin:
Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD? CoRR abs/1812.03934 (2018) - 2017
- [j59]Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu:
Finding multiple stable clusterings. Knowl. Inf. Syst. 51(3): 991-1021 (2017) - [j58]Weizhong Zhang, Lijun Zhang, Zhongming Jin, Rong Jin, Deng Cai, Xuelong Li, Ronghua Liang, Xiaofei He:
Sparse Learning with Stochastic Composite Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1223-1236 (2017) - [j57]Rong Jin, Xianru Du, Kai Zeng, Liqun Huang, Laiyuan Xiao, Jing Xu:
Delay Analysis of Physical-Layer Key Generation in Dynamic Roadside-to-Vehicle Networks. IEEE Trans. Veh. Technol. 66(3): 2526-2535 (2017) - [c233]Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin:
A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis. AAAI 2017: 2224-2230 - [c232]Kevin Desai, Uriel Haile Hernández Belmonte, Rong Jin, Balakrishnan Prabhakaran, Paul Diehl, Víctor Ayala-Ramírez, Vinu Johnson, Murry Gans:
Experiences with Multi-modal Collaborative Virtual Laboratory (MMCVL). BigMM 2017: 376-383 - [c231]Lijun Zhang, Tianbao Yang, Rong Jin:
Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds. COLT 2017: 1954-1979 - [c230]