| 2026 | ACL | ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation. | Yihua Zhang, Mingfu Liang, Jiyan Yang, Rong Jin, Wen-Yen Chen, Yiping Han, Huayu Li, Buyun Zhang, Liang Luo, Luke Simon, Sijia Liu, Tianlong Chen, Xi Liu |
| 2026 | ACL | Scaling Law for Multimodal Large Language Model Supervised Fine-Tuning. | Yifan Zhang, Tao Yu, Feng Li, Chaoyou Fu, Yibo Hu, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin |
| 2026 | WWW | LLM and Agents for Recommendation Systems (LARS). | Keerthi Gopalakrishnan, Qi Xu, Aysenur Inan, Zhigang Hua, Luyi Ma, Prabhat Agarwal, Shuang Yang, Shradha Sehgal, Hao Wang, Kai Zhao, Yashar Deldjoo, Rong Jin, Kamilia Ahmadi, Luke Simon |
| 2026 | WWW | Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation. | Xiao Lin, Zhicheng Tang, Weilin Cong, Mengyue Hang, Kai Wang, Yajuan Wang, Zhichen Zeng, Ting-Wei Li, Hyunsik Yoo, Zhining Liu, Xuying Ning, Ruizhong Qiu, Wen-Yen Chen, Shuo Chang, Rong Jin, Huayu Li, Hanghang Tong |
| 2025 | ICASSP | Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series. | Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin |
| 2025 | ICLR | MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? | Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin |
| 2025 | ICML | MM-RLHF: The Next Step Forward in Multimodal LLM Alignment. | Yifan Zhang, Tao Yu, Haochen Tian, Chaoyou Fu, Peiyan Li, Jianshu Zeng, Wulin Xie, Yang Shi, Huanyu Zhang, Junkang Wu, Xue Wang, Yibo Hu, Bin Wen, Tingting Gao, Zhang Zhang, Fan Yang, Di Zhang, Liang Wang, Rong Jin |
| 2025 | KDD | Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach. | Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Rong Jin, Liang Sun |
| 2025 | KDD | Utilizing Strategic Pre-training to Reduce Overfitting: Baguan - A Pre-trained Weather Forecasting Model. | Peisong Niu, Ziqing Ma, Tian Zhou, Weiqi Chen, Lefei Shen, Rong Jin, Liang Sun |
| 2025 | RecSys | Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID. | Carolina Zheng, Minhui Huang, Dmitrii Pedchenko, Kaushik Rangadurai, Siyu Wang, Fan Xia, Gaby Nahum, Jie Lei, Yang Yang, Tao Liu, Zutian Luo, Xiaohan Wei, Dinesh Ramasamy, Jiyan Yang, Yiping Han, Lin Yang, Hangjun Xu, Rong Jin, Shuang Yang |
| 2025 | WWW | External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. | Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li |
| 2024 | CVPR | Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization. | Zhi-Fan Wu, Chaojie Mao, Xue Wang, Jianwen Jiang, Yiliang Lv, Rong Jin |
| 2024 | EMNLP | UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks. | Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei |
| 2024 | ICLR | CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. | Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin |
| 2024 | KDD | FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting. | Ziqing Ma, Wenwei Wang, Tian Zhou, Chao Chen, Bingqing Peng, Liang Sun, Rong Jin |
| 2024 | NAACL | SumCSE: Summary as a transformation for Contrastive Learning. | Raghuveer Thirukovalluru, Xiaolan Wang, Jun Chen, Shuyang Li, Jie Lei, Rong Jin, Bhuwan Dhingra |
| 2024 | RecSys | EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations. | 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 |
| 2023 | CVPR | Making Vision Transformers Efficient from A Token Sparsification View. | Shuning Chang, Pichao Wang, Ming Lin, Fan Wang, David Junhao Zhang, Rong Jin, Mike Zheng Shou |
| 2023 | CVPR | Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks. | Weihua Chen, Xianzhe Xu, Jian Jia, Hao Luo, Yaohua Wang, Fan Wang, Rong Jin, Xiuyu Sun |
| 2023 | CVPR | Progressive Backdoor Erasing via connecting Backdoor and Adversarial Attacks. | Bingxu Mu, Zhenxing Niu, Le Wang, Xue Wang, Qiguang Miao, Rong Jin, Gang Hua |
| 2023 | ICLR | Free Lunch for Domain Adversarial Training: Environment Label Smoothing. | Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan |
| 2023 | ICML | FeDXL: Provable Federated Learning for Deep X-Risk Optimization. | Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang |
| 2023 | ICML | AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. | Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan |
| 2022 | AAAI | A Trend-Driven Fashion Design System for Rapid Response Marketing in E-commerce. | Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Rong Jin |
| 2022 | AAAI | Scaled ReLU Matters for Training Vision Transformers. | Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin |
| 2022 | ACL | Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation. | Xiangpeng Wei, Heng Yu, Yue Hu, Rongxiang Weng, Weihua Luo, Rong Jin |
| 2022 | CVPR | Unsupervised Visual Representation Learning by Online Constrained K-Means. | Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin |
| 2022 | CVPR | CHEX: CHannel EXploration for CNN Model Compression. | Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung |
| 2022 | CVPR | Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency. | Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yi Xu, Xiang Wang, Mingqian Tang, Changxin Gao, Rong Jin, Nong Sang |
| 2022 | CVPR | Hybrid Relation Guided Set Matching for Few-shot Action Recognition. | Xiang Wang, Shiwei Zhang, Zhiwu Qing, Mingqian Tang, Zhengrong Zuo, Changxin Gao, Rong Jin, Nong Sang |
| 2022 | CVPR | Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition. | Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang, Du Zhang, Zhen Lei, Hao Li, Rong Jin |
| 2022 | ECCV | KVT: k-NN Attention for Boosting Vision Transformers. | Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin |
| 2022 | ECCV | TransFGU: A Top-Down Approach to Fine-Grained Unsupervised Semantic Segmentation. | Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin |
| 2022 | ICASSP | Graph Convolution for Re-Ranking in Person Re-Identification. | Yuqi Zhang, Qi Qian, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin |
| 2022 | ICLR | Rethinking Supervised Pre-Training for Better Downstream Transferring. | Yutong Feng, Jianwen Jiang, Mingqian Tang, Rong Jin, Yue Gao |
| 2022 | ICLR | Effective Model Sparsification by Scheduled Grow-and-Prune Methods. | Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie |
| 2022 | ICLR | Entroformer: A Transformer-based Entropy Model for Learned Image Compression. | Yichen Qian, Xiuyu Sun, Ming Lin, Zhiyu Tan, Rong Jin |
| 2022 | ICLR | CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation. | Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin |
| 2022 | ICML | MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection. | Zhenhong Sun, Ming Lin, Xiuyu Sun, Zhiyu Tan, Hao Li, Rong Jin |
| 2022 | ICML | FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. | Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin |
| 2021 | AAAI | Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning. | Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin |
| 2021 | CVPR | Self-Supervised Video Representation Learning by Context and Motion Decoupling. | Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin |
| 2021 | CVPR | Self-Supervised Motion Learning From Static Images. | Ziyuan Huang, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Rong Jin, Marcelo H. Ang |
| 2021 | CVPR | Learning Position and Target Consistency for Memory-Based Video Object Segmentation. | Li Hu, Peng Zhang, Bang Zhang, Pan Pan, Yinghui Xu, Rong Jin |
| 2021 | CVPR | Communication Efficient SGD via Gradient Sampling With Bayes Prior. | Liuyihan Song, Kang Zhao, Pan Pan, Yu Liu, Yingya Zhang, Yinghui Xu, Rong Jin |
| 2021 | ICCV | Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition. | Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin |
| 2021 | ICCV | Weakly Supervised Representation Learning with Coarse Labels. | Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu |
| 2021 | ICLR | Learning Accurate Entropy Model with Global Reference for Image Compression. | Yichen Qian, Zhiyu Tan, Xiuyu Sun, Ming Lin, Dongyang Li, Zhenhong Sun, Hao Li, Rong Jin |
| 2021 | ICML | Dash: Semi-Supervised Learning with Dynamic Thresholding. | Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yufeng Li, Baigui Sun, Hao Li, Rong Jin |
| 2020 | CIKM | Large Scale Long-tailed Product Recognition System at Alibaba. | Xiangzeng Zhou, Pan Pan, Yun Zheng, Yinghui Xu, Rong Jin |
| 2020 | COCOA | Novel Algorithms for Maximum DS Decomposition. | Shengminjie Chen, Wenguo Yang, Suixiang Gao, Rong Jin |
| 2020 | CVPR | DR Loss: Improving Object Detection by Distributional Ranking. | Qi Qian, Lei Chen, Hao Li, Rong Jin |
| 2020 | ICPR | Price Suggestion for Online Second-hand Items. | Liang Han, Zhaozheng Yin, Zhurong Xia, Li Guo, Mingqian Tang, Rong Jin |
| 2020 | IGARSS | Simulation Analysis of Payload IMR and MICAP Onboard Chinese Ocean Salinity Satellite. | Yan Li, Xiaobin Yin, Wu Zhou, Mingsen Lin, Chaofei Ma, Rong Jin, Hao Liu, Yinan Li |
| 2020 | KDD | Large-Scale Training System for 100-Million Classification at Alibaba. | Liuyihan Song, Pan Pan, Kang Zhao, Hao Yang, Yiming Chen, Yingya Zhang, Yinghui Xu, Rong Jin |
| 2020 | SIGIR | Large-scale Multi-modal Search and QA at Alibaba. | Rong Jin |
| 2019 | AAAI | Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. | Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin |
| 2019 | AAAI | Semi-Parametric Sampling for Stochastic Bandits with Many Arms. | Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin |
| 2019 | AAAI | Robust Optimization over Multiple Domains. | Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li |
| 2019 | AAAI | Robust Online Matching with User Arrival Distribution Drift. | Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin |
| 2019 | CIKM | Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance. | Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Jianmin Wu, Yinghui Xu, Rong Jin |
| 2019 | CIKM | Large-Scale Visual Search with Binary Distributed Graph at Alibaba. | Kang Zhao, Pan Pan, Yun Zheng, Yanhao Zhang, Changxu Wang, Yingya Zhang, Yinghui Xu, Rong Jin |
| 2019 | ICCV | SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. | Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin |
| 2019 | ICML | Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence. | Yi Xu, Qi Qi, Qihang Lin, Rong Jin, Tianbao Yang |
| 2019 | ICML | On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization. | Hao Yu, Rong Jin |
| 2019 | ICML | On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization. | Hao Yu, Rong Jin, Sen Yang |
| 2019 | IJCAI | A Practical Semi-Parametric Contextual Bandit. | Yi Peng, Miao Xie, Jiahao Liu, Xuying Meng, Nan Li, Cheng Yang, Tao Yao, Rong Jin |
| 2019 | IJCAI | On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization. | Yi Xu, Zhuoning Yuan, Sen Yang, Rong Jin, Tianbao Yang |
| 2019 | KDD | Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. | Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin |
| 2019 | PADS | Scaffolded Training Environment for Physics Programming (STEPP): Modeling High School Physics using Concept Maps and State Machines. | Midori Kitagawa, Paul A. Fishwick, Michael Kesden, Mary Urquhart, Rosanna E. Guadagno, Rong Jin, Ngoc Tran, Erik Omogbehin, Aditya Prakash, Priyanka Awaraddi, Baily Hale, Ken Suura, Aniket Raj, James Stanfield, Henry Vo |
| 2019 | UAI | Learning with Non-Convex Truncated Losses by SGD. | Yi Xu, Shenghuo Zhu, Sen Yang, Chi Zhang, Rong Jin, Tianbao Yang |
| 2018 | AAAI | Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM. | Cong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin |
| 2018 | CVPR | Large-Scale Distance Metric Learning With Uncertainty. | Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin |
| 2018 | ECCV | Seamless Color Mapping for 3D Reconstruction with Consumer-Grade Scanning Devices. | Bin Wang, Pan Pan, Qinjie Xiao, Likang Luo, Xiaofeng Ren, Rong Jin, Xiaogang Jin |
| 2018 | ICML | Dynamic Regret of Strongly Adaptive Methods. | Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou |
| 2018 | IJCAI | Multinomial Logit Bandit with Linear Utility Functions. | Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin |
| 2018 | KDD | Visual Search at Alibaba. | Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin |
| 2018 | NPC | Balancing the QOS and Security in Dijkstra Algorithm by SDN Technology. | Jinjing Zhao, Ling Pang, Xiaohui Kuang, Rong Jin |
| 2017 | AAAI | A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis. | Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin |
| 2017 | COLT | Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds. | Lijun Zhang, Tianbao Yang, Rong Jin |
| 2017 | CVPR | Missing Modalities Imputation via Cascaded Residual Autoencoder. | Luan Tran, Xiaoming Liu, Jiayu Zhou, Rong Jin |
| 2017 | IJCAI | Deep Learning at Alibaba. | Rong Jin |
| 2017 | Interspeech | The Opensesame NIST 2016 Speaker Recognition Evaluation System. | Gang Liu, Qi Qian, Zhibin Wang, Qingen Zhao, Tianzhou Wang, Hao Li, Jian Xue, Shenghuo Zhu, Rong Jin, Tuo Zhao |
| 2017 | ISM | QoE Studies on Interactive 3D Tele-Immersion. | Kevin Desai, Suraj Raghuraman, Rong Jin, Balakrishnan Prabhakaran |
| 2016 | AAAI | Stochastic Optimization for Kernel PCA. | Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou |
| 2016 | AAAI | Fast and Accurate Refined Nystrm-Based Kernel SVM. | Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin |
| 2016 | AAAI | Accelerated Sparse Linear Regression via Random Projection. | Weizhong Zhang, Lijun Zhang, Rong Jin, Deng Cai, Xiaofei He |
| 2016 | ALT | Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach. | Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou |
| 2016 | CIKM | Large-scale Robust Online Matching and Its Application in E-commerce. | Rong Jin |
| 2016 | ICDCS | Social Graph Publishing with Privacy Guarantees. | Faraz Ahmed, Alex X. Liu, Rong Jin |
| 2016 | ICML | Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient. | Tianbao Yang, Lijun Zhang, Rong Jin, Jinfeng Yi |
| 2016 | ICML | Online Stochastic Linear Optimization under One-bit Feedback. | Lijun Zhang, Tianbao Yang, Rong Jin, Yichi Xiao, Zhi-Hua Zhou |
| 2016 | IGARSS | Array configuration optimization for Rotating mirrored aperture synthesis (RMAS). | Yufang Li, Qingxia Li, Rong Jin, Feng Li, Haofeng Dou, Hang Liu |
| 2016 | IGARSS | Correction of SMOS data in coastal area of South China Sea based on land contamination analysis. | Yan Li, Qingxia Li, Liang Lang, Rong Jin, Zhiwei Chen |
| 2015 | AAAI | Online Bandit Learning for a Special Class of Non-Convex Losses. | Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou |
| 2015 | AAAI | Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation. | Zenglin Xu, Rong Jin, Bin Shen, Shenghuo Zhu |
| 2015 | AISTATS | A Simple Homotopy Algorithm for Compressive Sensing. | Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou |
| 2015 | CIKM | Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters. | Radha Chitta, Anil K. Jain, Rong Jin |
| 2015 | CIKM | Topic Modeling in Semantic Space with Keywords. | Xiaojia Pu, Rong Jin, Gangshan Wu, Dingyi Han, Gui-Rong Xue |
| 2015 | COLT | Lower and Upper Bounds on the Generalization of Stochastic Exponentially Concave Optimization. | Mehrdad Mahdavi, Lijun Zhang, Rong Jin |
| 2015 | CVPR | Fine-grained visual categorization via multi-stage metric learning. | Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin |
| 2015 | ICDM | Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling. | Radha Chitta, Rong Jin, Anil K. Jain |
| 2015 | ICDM | Finding Multiple Stable Clusterings. | Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu |
| 2015 | ICML | CUR Algorithm for Partially Observed Matrices. | Miao Xu, Rong Jin, Zhi-Hua Zhou |
| 2015 | ICML | An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection. | Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu |
| 2015 | ICML | Theory of Dual-sparse Regularized Randomized Reduction. | Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu |
| 2015 | KDD | Big Data Analytics: Optimization and Randomization. | Tianbao Yang, Qihang Lin, Rong Jin |
| 2015 | KDD | Stock Constrained Recommendation in Tmall. | Wenliang Zhong, Rong Jin, Cheng Yang, Xiaowei Yan, Qi Zhang, Qiang Li |
| 2014 | AAAI | Privacy and Regression Model Preserved Learning. | Jinfeng Yi, Jun Wang, Rong Jin |
| 2014 | AAAI | Sparse Learning for Stochastic Composite Optimization. | Weizhong Zhang, Lijun Zhang, Yao Hu, Rong Jin, Deng Cai, Xiaofei He |
| 2014 | CCS | Practical secret key agreement for full-duplex near field communications. | Rong Jin, Xianru Du, Zi Deng, Kai Zeng, Jing Xu |
| 2014 | ECCV | Image Tag Completion by Noisy Matrix Recovery. | Zheyun Feng, Songhe Feng, Rong Jin, Anil K. Jain |
| 2014 | ICML | Efficient Algorithms for Robust One-bit Compressive Sensing. | Lijun Zhang, Jinfeng Yi, Rong Jin |
| 2014 | ICML | A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data. | Jinfeng Yi, Lijun Zhang, Jun Wang, Rong Jin, Anil K. Jain |
| 2014 | KDD | Distance metric learning using dropout: a structured regularization approach. | Qi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu |
| 2014 | UAI | Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property. | Ming Lin, Rong Jin, Changshui Zhang |
| 2013 | COLT | Passive Learning with Target Risk. | Mehrdad Mahdavi, Rong Jin |
| 2013 | COLT | Recovering the Optimal Solution by Dual Random Projection. | Lijun Zhang, Mehrdad Mahdavi, Rong Jin, Tianbao Yang, Shenghuo Zhu |
| 2013 | CVPR | Compressed Hashing. | Yue Lin, Rong Jin, Deng Cai, Shuicheng Yan, Xuelong Li |
| 2013 | HCOMP | Inferring Users' Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach. | Jinfeng Yi, Rong Jin, Shaili Jain, Anil K. Jain |
| 2013 | ICCV | Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning. | Zheyun Feng, Rong Jin, Anil K. Jain |
| 2013 | ICML | One-Pass AUC Optimization. | Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou |
| 2013 | ICML | Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion. | Jinfeng Yi, Lijun Zhang, Rong Jin, Qi Qian, Anil K. Jain |
| 2013 | ICML | O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions. | Lijun Zhang, Tianbao Yang, Rong Jin, Xiaofei He |
| 2013 | ICML | Online Kernel Learning with a Near Optimal Sparsity Bound. | Lijun Zhang, Jinfeng Yi, Rong Jin, Ming Lin, Xiaofei He |
| 2012 | AAAI | Random Projection with Filtering for Nearly Duplicate Search. | Yue Lin, Rong Jin, Deng Cai, Xiaofei He |
| 2012 | AAAI | Online Kernel Selection: Algorithms and Evaluations. | Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Yi, Steven C. H. Hoi |
| 2012 | AAAI | Efficient Online Learning for Large-Scale Sparse Kernel Logistic Regression. | Lijun Zhang, Rong Jin, Chun Chen, Jiajun Bu, Xiaofei He |
| 2012 | HCOMP | Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach. | Jinfeng Yi, Rong Jin, Anil K. Jain, Shaili Jain |
| 2012 | ICDM | Efficient Kernel Clustering Using Random Fourier Features. | Radha Chitta, Rong Jin, Anil K. Jain |
| 2012 | ICDM | Robust Ensemble Clustering by Matrix Completion. | Jinfeng Yi, Tianbao Yang, Rong Jin, Anil K. Jain, Mehrdad Mahdavi |
| 2012 | ICML | Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning. | Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin, Pengcheng Wu |
| 2012 | ICML | A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound. | Ming Ji, Tianbao Yang, Binbin Lin, Rong Jin, Jiawei Han |
| 2012 | ICML | Multiple Kernel Learning from Noisy Labels by Stochastic Programming. | Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Lijun Zhang, Yang Zhou |
| 2012 | IGARSS | A Bayesian reconstruction algorithm for synthesis aperture imaging radiometer. | Hong Yang, Fei Hu, Ke Chen, Rong Jin, Jinhai Sun |
| 2012 | IGARSS | Error model and calibration of synthetic aperture interferometric radiometer based on visibility function. | Ke Chen, Wei Guo, Hong Yang, Rong Jin, Guanli Yi, Fei Hu, Jinhai Sun |
| 2012 | IGARSS | Calibration of staggered Y-shaped array by 120 degree rotation. | Rong Jin, Qingxia Li, Ke Chen, Guanli Yi, Hong Yang, Jian Dong, Jinhai Sun |
| 2012 | KDD | Online feature selection for mining big data. | Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin |
| 2012 | SIGIR | Boosting multi-kernel locality-sensitive hashing for scalable image retrieval. | Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin |
| 2011 | AAAI | Multi-Task Learning in Square Integrable Space. | Wei Wu, Hang Li, Yunhua Hu, Rong Jin |
| 2011 | CVPR | A probabilistic representation for efficient large scale visual recognition tasks. | Subhabrata Bhattacharya, Rahul Sukthankar, Rong Jin, Mubarak Shah |
| 2011 | CVPR | Multi-label learning with incomplete class assignments. | Serhat Selcuk Bucak, Rong Jin, Anil K. Jain |
| 2011 | ICML | Online AUC Maximization. | Peilin Zhao, Steven C. H. Hoi, Rong Jin, Tianbao Yang |
| 2011 | KDD | Approximate kernel k-means: solution to large scale kernel clustering. | Radha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain |
| 2011 | KDD | Learning to trade off between exploration and exploitation in multiclass bandit prediction. | Hamed Valizadegan, Rong Jin, Shijun Wang |
| 2011 | SIGIR | Machine learning for information retrieval. | Luo Si, Rong Jin |
| 2010 | AAAI | Smooth Optimization for Effective Multiple Kernel Learning. | Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King |
| 2010 | ALT | Online Multiple Kernel Learning: Algorithms and Mistake Bounds. | Rong Jin, Steven C. H. Hoi, Tianbao Yang |
| 2010 | CVPR | Online visual vocabulary pruning using pairwise constraints. | Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain |
| 2010 | ICML | Simple and Efficient Multiple Kernel Learning by Group Lasso. | Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2010 | ICML | Learning from Noisy Side Information by Generalized Maximum Entropy Model. | Tianbao Yang, Rong Jin, Anil K. Jain |
| 2010 | ICPR | Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval. | Jung-Eun Lee, Rong Jin, Anil K. Jain |
| 2010 | KDD | Exploitation and exploration in a performance based contextual advertising system. | Wei Li, Xuerui Wang, Ruofei Zhang, Ying Cui, Jianchang Mao, Rong Jin |
| 2010 | KDD | Unsupervised transfer classification: application to text categorization. | Tianbao Yang, Rong Jin, Anil K. Jain, Yang Zhou, Wei Tong |
| 2010 | UAI | Robust Metric Learning by Smooth Optimization. | Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu |
| 2010 | SDM | Directed Network Community Detection: A Popularity and Productivity Link Model. | Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin |
| 2010 | SSPR | Non-parametric Mixture Models for Clustering. | Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain |
| 2009 | CVPR | Learning a distance metric from multi-instance multi-label data. | Rong Jin, Shijun Wang, Zhi-Hua Zhou |
| 2009 | ICASSP | Inferring functional cortical networks from spike train ensembles using Dynamic Bayesian Networks. | Seif Eldawlatly, Yang Zhou, Rong Jin, Karim G. Oweiss |
| 2009 | ICCV | Efficient multi-label ranking for multi-class learning: Application to object recognition. | Serhat Selcuk Bucak, Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain |
| 2009 | ICIP | Content-based image retrieval: An application to tattoo images. | Anil K. Jain, Jung-Eun Lee, Rong Jin, Nicholas Gregg |
| 2009 | ICML | Non-monotonic feature selection. | Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King |
| 2009 | ICML | Online learning by ellipsoid method. | Liu Yang, Rong Jin, Jieping Ye |
| 2009 | IJCAI | Discriminative Semi-Supervised Feature Selection via Manifold Regularization. | Zenglin Xu, Rong Jin, Michael R. Lyu, Irwin King |
| 2009 | KDD | Combining link and content for community detection: a discriminative approach. | Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu |
| 2009 | UAI | A Bayesian Framework for Community Detection Integrating Content and Link. | Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu |
| 2009 | SDM | A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks. | Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin |
| 2008 | AAAI | Semi-Supervised Ensemble Ranking. | Steven C. H. Hoi, Rong Jin |
| 2008 | AAAI | Using Knowledge Driven Matrix Factorization to Reconstruct Modular Gene Regulatory Network. | Yang Zhou, Zheng Li, Xuerui Yang, Linxia Zhang, Shireesh Srivastava, Rong Jin, Christina Chan |
| 2008 | CIKM | Semi-supervised text categorization by active search. | Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King |
| 2008 | CIKM | Representative entry selection for profiling blogs. | Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun, Rong Jin |
| 2008 | CVPR | Semi-supervised SVM batch mode active learning for image retrieval. | Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu |
| 2008 | CVPR | Rank-based distance metric learning: An application to image retrieval. | Jung-Eun Lee, Rong Jin, Anil K. Jain |
| 2008 | CVPR | Unifying discriminative visual codebook generation with classifier training for object category recognition. | Liu Yang, Rong Jin, Rahul Sukthankar, Frdric Jurie |
| 2008 | ICML | Active kernel learning. | Steven C. H. Hoi, Rong Jin |
| 2008 | ICPR | Active query selection for semi-supervised clustering. | Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain |
| 2008 | WWW | Ranking refinement and its application to information retrieval. | Rong Jin, Hamed Valizadegan, Hang Li |
| 2007 | AAAI | Active Algorithm Selection. | Feilong Chen, Rong Jin |
| 2007 | AAAI | Semi-Supervised Learning by Mixed Label Propagation. | Wei Tong, Rong Jin |
| 2007 | ACL | Automated Vocabulary Acquisition and Interpretation in Multimodal Conversational Systems. | Yi Liu, Joyce Yue Chai, Rong Jin |
| 2007 | CVPR | Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data. | Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukthankar |
| 2007 | ICML | Learning nonparametric kernel matrices from pairwise constraints. | Steven C. H. Hoi, Rong Jin, Michael R. Lyu |
| 2007 | KDD | A learning framework using Green's function and kernel regularization with application to recommender system. | Chris H. Q. Ding, Rong Jin, Tao Li, Horst D. Simon |
| 2007 | KDD | BoostCluster: boosting clustering by pairwise constraints. | Yi Liu, Rong Jin, Anil K. Jain |
| 2007 | UAI | Bayesian Active Distance Metric Learning. | Liu Yang, Rong Jin, Rahul Sukthankar |
| 2007 | SDM | Localized Support Vector Machine and Its Efficient Algorithm. | Haibin Cheng, Pang-Ning Tan, Rong Jin |
| 2006 | AAAI | Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization. | Yi Liu, Rong Jin, Liu Yang |
| 2006 | AAAI | An Efficient Algorithm for Local Distance Metric Learning. | Liu Yang, Rong Jin, Rahul Sukthankar, Yi Liu |
| 2006 | CVPR | Correlated Label Propagation with Application to Multi-label Learning. | Feng Kang, Rong Jin, Rahul Sukthankar |
| 2006 | ICASSP | A Mixture Model for Spike Train Ensemble Analysis Using Spectral Clustering. | Rong Jin, Yasir Suhail, Karim G. Oweiss |
| 2006 | ICML | Batch mode active learning and its application to medical image classification. | Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu |
| 2006 | WWW | Large-scale text categorization by batch mode active learning. | Steven C. H. Hoi, Rong Jin, Michael R. Lyu |
| 2006 | SIGIR | A graph-based framework for relation propagation and its application to multi-label learning. | Ming Wu, Rong Jin |
| 2005 | AAAI | Query Translation Disambiguation as Graph Partitioning. | Yi Liu, Rong Jin |
| 2005 | DCOSS | Sensor Localization in an Obstructed Environment. | Chen Wang, Xiao Li, Rong Jin |
| 2005 | ICDE | Integrating User Feedback Log into Relevance Feedback by Coupled SVM for Content-Based Image Retrieval. | Steven C. H. Hoi, Michael R. Lyu, Rong Jin |
| 2005 | ICML | Learn to weight terms in information retrieval using category information. | Rong Jin, Joyce Y. Chai, Luo Si |
| 2005 | ICML | A smoothed boosting algorithm using probabilistic output codes. | Rong Jin, Jian Zhang |
| 2005 | IJCAI | Learning with Labeled Sessions. | Rong Jin, Huan Liu |
| 2005 | IJCAI | A Novel Approach to Model Generation for Heterogeneous Data Classification. | Rong Jin, Huan Liu |
| 2005 | IUI | Linguistic theories in efficient multimodal reference resolution: an empirical investigation. | Joyce Y. Chai, Zahar Prasov, Joseph Blaim, Rong Jin |
| 2005 | PAKDD | A Framework for Incorporating Class Priors into Discriminative Classification. | Rong Jin, Yi Liu |
| 2005 | PAKDD | Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis. | Luo Si, Rong Jin |
| 2005 | SIGIR | Study of cross lingual information retrieval using on-line translation systems. | Rong Jin, Joyce Y. Chai |
| 2005 | SIGIR | A maximum coherence model for dictionary-based cross-language information retrieval. | Yi Liu, Rong Jin, Joyce Y. Chai |
| 2005 | SIGIR | User term feedback in interactive text-based image retrieval. | Chen Zhang, Joyce Y. Chai, Rong Jin |
| 2005 | SDM | Symmetric Statistical Translation Models for Automatic Image Annotation. | Feng Kang, Rong Jin |
| 2004 | CIKM | Regularizing translation models for better automatic image annotation. | Feng Kang, Rong Jin, Joyce Y. Chai |
| 2004 | CIKM | Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model. | Luo Si, Rong Jin |
| 2004 | ICML | Robust feature induction for support vector machines. | Rong Jin, Huan Liu |
| 2004 | KDD | Ordering patterns by combining opinions from multiple sources. | Pang-Ning Tan, Rong Jin |
| 2004 | SIGIR | An automatic weighting scheme for collaborative filtering. | Rong Jin, Joyce Y. Chai, Luo Si |
| 2004 | SIGIR | A study of methods for normalizing user ratings in collaborative filtering. | Rong Jin, Luo Si |
| 2004 | UAI | A Bayesian Approach toward Active Learning for Collaborative Filtering. | Rong Jin, Luo Si |
| 2003 | CIKM | Collaborative filtering with decoupled models for preferences and ratings. | Rong Jin, Luo Si, ChengXiang Zhai, James P. Callan |
| 2003 | ICASSP | On predicting rare classes with SVM ensembles in scene classification. | Rong Yan, Yan Liu, Rong Jin, Alexander G. Hauptmann |
| 2003 | ICML | A Faster Iterative Scaling Algorithm for Conditional Exponential Model. | Rong Jin, Rong Yan, Jian Zhang, Alexander G. Hauptmann |
| 2003 | ICML | Flexible Mixture Model for Collaborative Filtering. | Luo Si, Rong Jin |
| 2003 | ICML | Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization. | Jian Zhang, Rong Jin, Yiming Yang, Alexander G. Hauptmann |
| 2003 | UAI | Preference-based Graphic Models for Collaborative Filtering. | Rong Jin, Luo Si, ChengXiang Zhai |
| 2002 | CIKM | A language modeling framework for resource selection and results merging. | Luo Si, Rong Jin, James P. Callan, Paul Ogilvie |
| 2002 | COLING | A New Probabilistic Model for Title Generation. | Rong Jin, Alexander G. Hauptmann |
| 2002 | ICIP | Using a probabilistic source model for comparing images. | Rong Jin, Alexander G. Hauptmann |
| 2002 | ICPR | A Probabilistic Model for Camera Zoom Detection. | Rong Jin, Yanjun Qi, Alexander G. Hauptmann |
| 2002 | PAKDD | Meta-Classification of Multimedia Classifiers. | Wei-Hao Lin, Rong Jin, Alexander G. Hauptmann |
| 2002 | SIGIR | Title language model for information retrieval. | Rong Jin, Alexander G. Hauptmann, ChengXiang Zhai |
| 2002 | SIGIR | Language model for IR using collection information. | Rong Jin, Luo Si, Alexander G. Hauptmann, James P. Callan |
| 2001 | CICLING | Title Generation Using a Training Corpus. | Rong Jin, Alexander G. Hauptmann |
| 2001 | ICML | Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval. | Rong Jin, Alexander G. Hauptmann |
| 2001 | IJCAI | Title Generation for Machine-Translated Documents. | Rong Jin, Alexander G. Hauptmann |
| 2001 | NAACL | Automatic Title Generation for Spoken Broadcast News. | Rong Jin, Alexander G. Hauptmann |
| 2001 | SIGIR | Probabilistic Combination of Content and Links. | Susan T. Dumais, Rong Jin |
| 2001 | SIGIR | Meta-scoring: Automatically Evaluating Term Weighting Schemes in IR without Precision-Recall. | Rong Jin, Christos Falusos, Alexander G. Hauptmann |
| 2000 | Interspeech | Title generation for spoken broadcast news using a training corpus. | Rong Jin, Alexander G. Hauptmann |