Ji Liu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 125

Top Venues

CoRR

NeurIPS

ICML

NIPS

Publications

Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems. VLDB J. 33 (5) (2024)
Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CVPR Workshops (2023)
Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CoRR (2023)
Shun Lu, Yu Hu, Peihao Wang, Yan Han, Jianchao Tan, Jixiang Li, Sen Yang, Ji Liu
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. AAAI (2023)
Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies. AAAI (2023)
Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang
Unified Visual Transformer Compression. ICLR (2022)
Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. Proc. VLDB Endow. 15 (6) (2022)
Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang
Unified Visual Transformer Compression. CoRR (2022)
Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song
LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. CoRR (2022)
Yawei Zhao, Shuang Qiu, Kuan Li, Lailong Luo, Jianping Yin, Ji Liu
Proximal Online Gradient Is Optimum for Dynamic Regret: A General Lower Bound. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang
Prototype Feature Extraction for Multi-task Learning. WWW (2022)
Rui Lu, Baigong Zheng, Jiarui Hai, Fei Tao, Zhiyao Duan, Ji Liu
Progressive Teacher-Student Training Framework for Music Tagging. ICASSP (2022)
Liu Liu, Ji Liu, Dacheng Tao
Variance Reduced Methods for Non-Convex Composition Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. KDD (2022)
Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. SIGMOD Conference (2022)
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
Stochastic Gradient Descent without Full Data Shuffle. CoRR (2022)
Shun Lu, Jixiang Li, Jianchao Tan, Sen Yang, Ji Liu
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework. NeurIPS (2021)
Hanlin Tang, Yao Li, Ji Liu, Ming Yan
ErrorCompensatedX: error compensation for variance reduced algorithms. NeurIPS (2021)
Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. ICCV (2021)
Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu
Hand Image Understanding via Deep Multi-Task Learning. ICCV (2021)
Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu
Hand Image Understanding via Deep Multi-Task Learning. CoRR (2021)
Zhenyu Hu, Pengcheng Pi, Zhenyu Wu, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu
E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles. CVPR Workshops (2021)
Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang
BAGUA: Scaling up Distributed Learning with System Relaxations. Proc. VLDB Endow. 15 (4) (2021)
Xuefan Zha, Wentao Zhu, Xun Lv, Sen Yang, Ji Liu
Shifted Chunk Transformer for Spatio-Temporal Representational Learning. NeurIPS (2021)
Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu
UMEC: Unified model and embedding compression for efficient recommendation systems. ICLR (2021)
Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan
The 2020 Low-Power Computer Vision Challenge. AICAS (2021)
Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. ICCV (2021)
Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu
Hierarchical Prototype Learning for Zero-Shot Recognition. IEEE Trans. Multim. 22 (7) (2020)
Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free. CoRR (2020)
Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. CoRR (2020)
Runze Su, Fei Tao, Xudong Liu, Haoran Wei, Xiaorong Mei, Zhiyao Duan, Lei Yuan, Ji Liu, Yuying Xie
Themes Inferred Audio-visual Correspondence Learning. CoRR (2020)
Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework. CoRR (2020)
Bo Liu, Sridhar Mahadevan, Ji Liu
Regularized Off-Policy TD-Learning. CoRR (2020)
Ji Liu, Ce Zhang
Distributed Learning Systems with First-Order Methods. Found. Trends Databases 9 (1) (2020)
Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ji Liu, Yuxiong He, Ce Zhang
APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm. CoRR (2020)
Lin Huang, Jianchao Tan, Jingjing Meng, Ji Liu, Junsong Yuan
HOT-Net: Non-Autoregressive Transformer for 3D Hand-Object Pose Estimation. ACM Multimedia (2020)
Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang
GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework. ECCV (4) (2020)
Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach. CVPR (2020)
Hongyu Xu, Zhangyang Wang, Haichuan Yang, Ding Liu, Ji Liu
Learning Simple Thresholded Features With Sparse Support Recovery. IEEE Trans. Circuits Syst. Video Technol. 30 (4) (2020)
Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free. NeurIPS (2020)
Xiaohan Ding, Tianxiang Hao, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding
Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization. CoRR (2020)
Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity. CoRR (2020)
Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. CVPR (2020)
Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan
Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation. ECCV (25) (2020)
Xingxing Zhang, Zhenfeng Zhu, Yao Zhao, Dongxia Chang, Ji Liu
-Norm-Induced Discriminative Prototype Selection. IEEE Trans. Neural Networks Learn. Syst. 30 (7) (2019)
Gan Sun, Yang Cong, Ji Liu, Lianqing Liu, Xiaowei Xu, Haibin Yu
Lifelong Metric Learning. IEEE Trans. Cybern. 49 (8) (2019)
Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu
Model Compression with Adversarial Robustness: A Unified Optimization Framework. NeurIPS (2019)
Haichuan Yang, Yuhao Zhu, Ji Liu
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. CVPR (2019)
Xiangru Lian, Ji Liu
Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization. AISTATS (2019)
Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu
Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization. CoRR (2019)
Chen Yu, Hanlin Tang, Cédric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ce Zhang, Ji Liu
Distributed Learning over Unreliable Networks. ICML (2019)
Dongdong Hou, Yang Cong, Gan Sun, Ji Liu, Xiaowei Xu
Anomaly detection via adaptive greedy model. Neurocomputing 330 (2019)
Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Ji Liu, Jungong Han
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. CoRR (2019)
Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. NeurIPS (2019)
Hanlin Tang, Xiangru Lian, Tong Zhang, Ji Liu
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. CoRR (2019)
Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries. CoRR (2019)
Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu
Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications. ICLR (Poster) (2019)
Huizhuo Yuan, Xiangru Lian, Ji Liu
Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization. CoRR (2019)
Haichuan Yang, Yuhao Zhu, Ji Liu
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking. ICLR (Poster) (2019)
Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu
Hierarchical Prototype Learning for Zero-Shot Recognition. CoRR (2019)
Huizhuo Yuan, Xiangru Lian, Chris Junchi Li, Ji Liu, Wenqing Hu
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent. NeurIPS (2019)
Aditya R. Bhattacharya, Ji Liu, Shayok Chakraborty
A Generic Active Learning Framework for Class Imbalance Applications. BMVC (2019)
Ke Ren, Haichuan Yang, Yu Zhao, Wu Chen, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu
A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. IEEE Trans. Neural Networks Learn. Syst. 30 (10) (2019)
Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. CoRR (2019)
Liu Liu, Ji Liu, Dacheng Tao
Dualityfree Methods for Stochastic Composition Optimization. IEEE Trans. Neural Networks Learn. Syst. 30 (4) (2019)
Hanlin Tang, Chen Yu, Xiangru Lian, Tong Zhang, Ji Liu
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression. ICML (2019)
Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu
DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. CoRR (2019)
Shupeng Gui, Haotao Wang, Chen Yu, Haichuan Yang, Zhangyang Wang, Ji Liu
Adversarially Trained Model Compression: When Robustness Meets Efficiency. CoRR (2019)
Zhangyang Wang, Hongyu Xu, Haichuan Yang, Ding Liu, Ji Liu
Learning Simple Thresholded Features with Sparse Support Recovery. CoRR (2018)
Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu
: Decentralized Training over Decentralized Data. CoRR (2018)
Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu
Marginal Policy Gradients for Complex Control. CoRR (2018)
Hanlin Tang, Chen Yu, Cédric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ji Liu, Ce Zhang
Distributed Learning over Unreliable Networks. CoRR (2018)
Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu
: Decentralized Training over Decentralized Data. ICML (2018)
Yang Cong, Gan Sun, Ji Liu, Haibin Yu, Jiebo Luo
User attribute discovery with missing labels. Pattern Recognit. 73 (2018)
Shupeng Gui, Xiangliang Zhang, Shuang Qiu, Mingrui Wu, Jieping Ye, Ji Liu
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning. CoRR (2018)
Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads. Proc. VLDB Endow. 11 (5) (2018)
Bojan Karlas, Ji Liu, Wentao Wu, Ce Zhang
Ease.ml in Action: Towards Multi-tenant Declarative Learning Services. Proc. VLDB Endow. 11 (12) (2018)
Haichuan Yang, Yuhao Zhu, Ji Liu
ECC: Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. CoRR (2018)
Yang Cong, Ji Liu, Baojie Fan, Peng Zeng, Haibin Yu, Jiebo Luo
Online Similarity Learning for Big Data with Overfitting. IEEE Trans. Big Data 4 (1) (2018)
Hanlin Tang, Shaoduo Gan, Ce Zhang, Tong Zhang, Ji Liu
Communication Compression for Decentralized Training. NeurIPS (2018)
Randy Ardywibowo, Shuai Huang, Shupeng Gui, Cao Xiao, Yu Cheng, Ji Liu, Xiaoning Qian
Switching-State Dynamical Modeling of Daily Behavioral Data. J. Heal. Informatics Res. 2 (3) (2018)
Cao Xiao, Yan Jin, Ji Liu, Bo Zeng, Shuai Huang
Optimal Expert Knowledge Elicitation for Bayesian Network Structure Identification. IEEE Trans Autom. Sci. Eng. 15 (3) (2018)
Chen Yu, Bojan Karlas, Jie Zhong, Ce Zhang, Ji Liu
Multi-device, Multi-tenant Model Selection with GP-EI. CoRR (2018)
Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity. J. Artif. Intell. Res. 63 (2018)
Haichuan Yang, Yuhao Zhu, Ji Liu
End-to-End Learning of Energy-Constrained Deep Neural Networks. CoRR (2018)
Xiangru Lian, Ji Liu
Revisit Batch Normalization: New Understanding from an Optimization View and a Refinement via Composition Optimization. CoRR (2018)
Hanlin Tang, Ce Zhang, Shaoduo Gan, Tong Zhang, Ji Liu
Decentralization Meets Quantization. CoRR (2018)
Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu
Asynchronous Decentralized Parallel Stochastic Gradient Descent. ICML (2018)
Ke Ren, Haichuan Yang, Yu Zhao, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. CoRR (2018)
Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu
Asynchronous Decentralized Parallel Stochastic Gradient Descent. CoRR (2017)
Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang
Transformed Anti-Sparse Hashing. BMVC (2017)
Chuyang Ke, Yan Jin, Heather L. Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang
Prognostics of surgical site infections using dynamic health data. J. Biomed. Informatics 65 (2017)
Yang Cong, Ji Liu, Gan Sun, Quanzeng You, Yuncheng Li, Jiebo Luo
Adaptive Greedy Dictionary Selection for Web Media Summarization. IEEE Trans. Image Process. 26 (1) (2017)
Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. CoRR (2017)
Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu
On The Projection Operator to A Three-view Cardinality Constrained Set. CoRR (2017)
Shupeng Gui, Andrew P. Rice, Rui Chen, Liang Wu, Ji Liu, Hongyu Miao
A scalable algorithm for structure identification of complex gene regulatory network from temporal expression data. BMC Bioinform. 18 (1) (2017)
Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu
On The Projection Operator to A Three-view Cardinality Constrained Set. ICML (2017)
Yijun Huang, Qiang Meng, Heather L. Evans, William B. Lober, Yu Cheng, Xiaoning Qian, Ji Liu, Shuai Huang
CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements. J. Biomed. Informatics 73 (2017)
Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ji Liu