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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.org/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 — California State University, Fullerton, CA, USA (and 1 more)
- Rong Jin 0004 — Indiana University Bloomington, School of Informatics and Computing, Bloomington, IN, USA
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2020 – today
- 2024
[j61]Zhenxing Niu, Yuyao Sun, Qiguang Miao, Rong Jin, Gang Hua:
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7589-7605 (2024)- [j60]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. Pattern Recognit. 147: 110110 (2024) - [c286]Zhi-Fan Wu, Chaojie Mao, Xue Wang, Jianwen Jiang, Yiliang Lv, Rong Jin:
Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization. CVPR 2024: 16838-16847 - [c285]Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei:
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks. EMNLP 2024: 12983-12997 - [c284]Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin:
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. ICLR 2024 - [c283]Ziqing Ma, Wenwei Wang, Tian Zhou, Chao Chen, Bingqing Peng, Liang Sun, Rong Jin:
FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting. KDD 2024: 5532-5543 - [c282]Chiyu Zhang, Yifei Sun, Minghao Wu, Jun Chen, Jie Lei, Muhammad Abdul-Mageed, Rong Jin, Angli Liu, Ji Zhu, Sem Park, Ning Yao, Bo Long:
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations. RecSys 2024: 1010-1015 - [i142]Zhenxing Niu, Haodong Ren, Xinbo Gao, Gang Hua, Rong Jin:
Jailbreaking Attack against Multimodal Large Language Model. CoRR abs/2402.02309 (2024) - [i141]Peisong Niu, Tian Zhou, Xue Wang, Liang Sun, Rong Jin:
Attention as Robust Representation for Time Series Forecasting. CoRR abs/2402.05370 (2024) - [i140]Ziqing Ma, Wenwei Wang, Tian Zhou, Chao Chen, Bingqing Peng, Liang Sun, Rong Jin:
FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting. CoRR abs/2402.05823 (2024) - [i139]Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin:
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting. CoRR abs/2402.05830 (2024) - [i138]Chiyu Zhang, Yifei Sun, Jun Chen, Jie Lei, Muhammad Abdul-Mageed, Sinong Wang, Rong Jin, Sem Park, Ning Yao, Bo Long:
SPAR: Personalized Content-Based Recommendation via Long Engagement Attention. CoRR abs/2402.10555 (2024) - [i137]Yifan Zhang, Weichen Yu, Qingsong Wen, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Debiasing Multimodal Large Language Models. CoRR abs/2403.05262 (2024) - [i136]Yifan Zhang, Weiqi Chen, Zhaoyang Zhu, Dalin Qin, Liang Sun, Xue Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin:
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt. CoRR abs/2403.14949 (2024) - [i135]Chiyu Zhang, Yifei Sun, Minghao Wu, Jun Chen, Jie Lei, Muhammad Abdul-Mageed, Rong Jin, Angli Liu, Ji Zhu, Sem Park, Ning Yao, Bo Long:
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations. CoRR abs/2405.11441 (2024) - [i134]Zhenxing Niu, Yuyao Sun, Qiguang Miao, Rong Jin, Gang Hua:
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks. CoRR abs/2405.17929 (2024) - [i133]Zhenxing Niu, Yuyao Sun, Haodong Ren, Haoxuan Ji, Quan Wang, Xiaoke Ma, Gang Hua, Rong Jin:
Efficient LLM-Jailbreaking by Introducing Visual Modality. CoRR abs/2405.20015 (2024) - [i132]Yifan Zhang, Qingsong Wen, Chaoyou Fu, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin:
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models. CoRR abs/2406.08487 (2024) - [i131]Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai:
S3Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching. CoRR abs/2408.08567 (2024) - [i130]Yuyao Sun, Zhenxing Niu, Gang Hua, Rong Jin:
Towards Aligned Data Removal via Twin Machine Unlearning. CoRR abs/2408.11433 (2024) - [i129]Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? CoRR abs/2408.13257 (2024) - [i128]Peiyuan Liu, Tian Zhou, Liang Sun, Rong Jin:
Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting. CoRR abs/2410.06560 (2024) - 2023
- [j59]Jingkai Zhou, Pichao Wang, Jiasheng Tang, Fan Wang, Qiong Liu, Hao Li, Rong Jin:
What Limits the Performance of Local Self-attention? Int. J. Comput. Vis. 131(10): 2516-2528 (2023) - [j58]Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yi Xu, Xiang Wang, Changxin Gao, Rong Jin, Nong Sang:
Self-Supervised Learning from Untrimmed Videos via Hierarchical Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12408-12426 (2023) - [j57]Qi Qi, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang:
Attentional-Biased Stochastic Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023) - [j56]Zhiwu Qing, Ziyuan Huang, Shiwei Zhang, Mingqian Tang, Changxin Gao, Rong Jin, Marcelo H. Ang, Nong Sang:
ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning. IEEE Trans. Multim. 25: 9002-9014 (2023) - [j55]Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Xianzhe Xu, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin:
Achieving Human Parity on Visual Question Answering. ACM Trans. Inf. Syst. 41(3): 79:1-79:40 (2023) - [c281]Shuning Chang, Pichao Wang, Ming Lin, Fan Wang, David Junhao Zhang, Rong Jin, Mike Zheng Shou:
Making Vision Transformers Efficient from A Token Sparsification View. CVPR 2023: 6195-6205 - [c280]Weihua Chen, Xianzhe Xu, Jian Jia, Hao Luo, Yaohua Wang, Fan Wang, Rong Jin, Xiuyu Sun:
Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks. CVPR 2023: 15050-15061 - [c279]Bingxu Mu, Zhenxing Niu, Le Wang, Xue Wang, Qiguang Miao, Rong Jin, Gang Hua:
Progressive Backdoor Erasing via connecting Backdoor and Adversarial Attacks. CVPR 2023: 20495-20503 - [c278]Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. ICLR 2023 - [c277]Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang:
FeDXL: Provable Federated Learning for Deep X-Risk Optimization. ICML 2023: 11934-11966 - [c276]Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. ICML 2023: 41647-41676 - [c275]Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. NeurIPS 2023 - [c274]Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin:
One Fits All: Power General Time Series Analysis by Pretrained LM. NeurIPS 2023 - [i127]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) - [i126]Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. CoRR abs/2302.00194 (2023) - [i125]Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin:
Power Time Series Forecasting by Pretrained LM. CoRR abs/2302.11939 (2023) - [i124]Shuning Chang, Pichao Wang, Ming Lin, Fan Wang, David Junhao Zhang, Rong Jin, Mike Zheng Shou:
Making Vision Transformers Efficient from A Token Sparsification View. CoRR abs/2303.08685 (2023) - [i123]Weihua Chen, Xianzhe Xu, Jian Jia, Hao Luo, Yaohua Wang, Fan Wang, Rong Jin, Xiuyu Sun:
Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks. CoRR abs/2303.17602 (2023) - [i122]Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. CoRR abs/2304.12566 (2023) - [i121]Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin:
Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer. CoRR abs/2305.12095 (2023) - [i120]Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. CoRR abs/2309.12659 (2023) - [i119]Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin:
One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors. CoRR abs/2311.14782 (2023) - [i118]Yifan Zhang, Xue Wang, Tian Zhou, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Model-free Test Time Adaptation for Out-Of-Distribution Detection. CoRR abs/2311.16420 (2023) - [i117]Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Liang Sun, Rong Jin:
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting. CoRR abs/2312.03406 (2023) - [i116]Yifan Zhang, Zhang Zhang, Liang Wang, Tieniu Tan, Rong Jin:
Assaying on the Robustness of Zero-Shot Machine-Generated Text Detectors. CoRR abs/2312.12918 (2023) - 2022
- [c273]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 - [c272]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 - [c271]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 - [c270]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 - [c269]Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin:
Unsupervised Visual Representation Learning by Online Constrained K-Means. CVPR 2022: 16619-16628 - [c268]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 - [c267]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 - [c266]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 - [c265]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 - [c264]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 - [c263]Yutong Feng, Jianwen Jiang, Mingqian Tang, Rong Jin, Yue Gao:
Rethinking Supervised Pre-Training for Better Downstream Transferring. ICLR 2022 - [c262]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 - [c261]Yichen Qian, Xiuyu Sun, Ming Lin, Zhiyu Tan, Rong Jin:
Entroformer: A Transformer-based Entropy Model for Learned Image Compression. ICLR 2022 - [c260]Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin:
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation. ICLR 2022 - [c259]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 - [c258]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 - [c257]Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, Rong Jin:
Improved Fine-Tuning by Better Leveraging Pre-Training Data. NeurIPS 2022 - [c256]Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin:
Robust Graph Structure Learning via Multiple Statistical Tests. NeurIPS 2022 - [c255]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. NeurIPS 2022 - [c254]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. NeurIPS 2022 - [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, Yufeng 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, Yufeng 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]