Rong Jin

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 215

Top Venues

Publications

Peisong Niu, Tian Zhou, Xue Wang, Liang Sun, Rong Jin
Attention as Robust Representation for Time Series Forecasting. CoRR (2024)
Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. ICLR (2024)
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 (2024)
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 (2024)
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)
Yi-Fan Zhang, Qingsong Wen, Chaoyou Fu, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models. CoRR (2024)
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 (2024)
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 (2024)
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 (2023)
Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang
FeDXL: Provable Federated Learning for Deep X-Risk Optimization. ICML (2023)
Qi Qi, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang
Attentional-Biased Stochastic Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023)
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 (2023)
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 (2023)
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 (2023)
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)
Tian Zhou, PeiSong Niu, Xue Wang, Liang Sun, Rong Jin
Power Time Series Forecasting by Pretrained LM. CoRR (2023)
Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. CoRR (2023)
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)
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)
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) (2023)
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)
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 (2023)
Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Liang Sun, Rong Jin
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting. CoRR (2023)
Yi-Fan Zhang, Zhang Zhang, Liang Wang, Tieniu Tan, Rong Jin
Assaying on the Robustness of Zero-Shot Machine-Generated Text Detectors. CoRR (2023)
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) (2023)
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) (2023)
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 (2023)
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 (2023)
Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin
One Fits All: Power General Time Series Analysis by Pretrained LM. NeurIPS (2023)
Yi-Fan 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 (2023)
Yi-Fan 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 (2023)
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)
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)
Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. ICML (2022)
Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation. ICLR (2022)
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)
Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin
Unsupervised Visual Representation Learning by Online Constrained K-Means. CVPR (2022)
Yichen Qian, Xiuyu Sun, Ming Lin, Zhiyu Tan, Rong Jin
Entroformer: A Transformer-based Entropy Model for Learned Image Compression. ICLR (2022)
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 (2022)
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 (24) (2022)
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)
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 (2022)
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)
Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin
Robust Graph Structure Learning over Images via Multiple Statistical Tests. CoRR (2022)
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 (2022)
Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin
Robust Graph Structure Learning via Multiple Statistical Tests. NeurIPS (2022)
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)
Yutong Feng, Jianwen Jiang, Mingqian Tang, Rong Jin, Yue Gao
Rethinking Supervised Pre-Training for Better Downstream Transferring. ICLR (2022)
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 (2022)
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)
Yichen Qian, Ming Lin, Xiuyu Sun, Zhiyu Tan, Rong Jin
Entroformer: A Transformer-based Entropy Model for Learned Image Compression. CoRR (2022)
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)
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 (2022)
Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. CoRR (2022)
Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang
FedX: Federated Learning for Compositional Pairwise Risk Optimization. CoRR (2022)
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)
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)
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 (2022)
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)
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)
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 (2022)
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)
Jian Tan, Niv Nayman, Mengchang Wang, Rong Jin
CobBO: Coordinate Backoff Bayesian Optimization. CoRR (2021)
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 (2021)
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)
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 (2021)
Zhenhong Sun, Ming Lin, Xiuyu Sun, Zhiyu Tan, Rong Jin
Revisiting Efficient Object Detection Backbones from Zero-Shot Neural Architecture Search. CoRR (2021)
Kang Zhao, Liuyihan Song, Yingya Zhang, Pan Pan, Yinghui Xu, Rong Jin
ANN Softmax: Acceleration of Extreme Classification Training. Proc. VLDB Endow. 15 (1) (2021)
Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang
A Novel Convergence Analysis for Algorithms of the Adam Family. CoRR (2021)
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 (2021)
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)
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 (2021)
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)
Yi Xu, Qi Qian, Hao Li, Rong Jin
Why Does Multi-Epoch Training Help? CoRR (2021)
Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin
Unsupervised Visual Representation Learning by Online Constrained K-Means. CoRR (2021)
Niv Nayman, Yonathan Aflalo, Asaf Noy, Rong Jin, Lihi Zelnik-Manor
IQNAS: Interpretable Integer Quadratic Programming Neural Architecture Search. CoRR (2021)
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 (2021)
Yi Xu, Qi Qian, Hao Li, Rong Jin
A Theoretical Analysis of Learning with Noisily Labeled Data. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
Ziyuan Huang, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Rong Jin, Marcelo H. Ang
Self-Supervised Motion Learning From Static Images. CVPR (2021)
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)
Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin
Self-supervised Video Representation Learning by Context and Motion Decoupling. CoRR (2021)
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 (2021)
Yutong Feng, Jianwen Jiang, Mingqian Tang, Rong Jin, Yue Gao
Rethinking supervised pre-training for better downstream transferring. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
Asaf Noy, Yi Xu, Yonathan Aflalo, Rong Jin
On the Convergence of Deep Networks with Sample Quadratic Overparameterization. CoRR (2021)
Jingkai Zhou, Pichao Wang, Fan Wang, Qiong Liu, Hao Li, Rong Jin
ELSA: Enhanced Local Self-Attention for Vision Transformer. CoRR (2021)
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)
Li Hu, Peng Zhang, Bang Zhang, Pan Pan, Yinghui Xu, Rong Jin
Learning Position and Target Consistency for Memory-based Video Object Segmentation. CoRR (2021)
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 (2021)
Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin
Visual Search at Alibaba. CoRR (2021)
Xiangzeng Zhou, Pan Pan, Yun Zheng, Yinghui Xu, Rong Jin
Large Scale Long-tailed Product Recognition System at Alibaba. CoRR (2021)
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) (2021)
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)
Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin
Scaled ReLU Matters for Training Vision Transformers. CoRR (2021)
Ziyuan Huang, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Rong Jin, Marcelo H. Ang
Self-supervised Motion Learning from Static Images. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rong Jin