Ji Liu

205 papers A* 44A 7B 1C 1Misc 2Journal 121Unranked 28
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond Surface Reasoning: Unveiling the True Long Chain-of-Thought Capacity of Diffusion Large Language Models.
CoRR
Qiguang Chen, Hanjing Li, Libo Qin, Dengyun Peng, Ji Liu, Jiangyi Wang, Chengyue Wu, Xie Chen, Yantao Du, Wanxiang Che
2024 J jnl
Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems.
VLDB J.
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2023 — conf
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection.
CVPR Workshops
Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu
2023 J jnl
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection.
CoRR
Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu
2023 J jnl
Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks.
IEEE Trans. Knowl. Data Eng.
Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou
2023 A* conf
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor.
AAAI
Shun Lu, Yu Hu, Peihao Wang, Yan Han, Jianchao Tan, Jixiang Li, Sen Yang, Ji Liu
2023 A* conf
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies.
AAAI
Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui
2023 J jnl
Stochastically Controlled Compositional Gradient for Composition Problems.
IEEE Trans. Neural Networks Learn. Syst.
Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao
2022 J jnl
Adversarial Contrastive Self-Supervised Learning.
CoRR
Wentao Zhu, Hang Shang, Tingxun Lv, Chao Liao, Sen Yang, Ji Liu
2022 — conf
Bandwidth-Aware Adaptive Codec for DNN Inference Offloading in IoT.
ECCV (38)
Xiufeng Xie, Ning Zhou, Wentao Zhu, Ji Liu
2022 J jnl
Bankruptcy Prediction via Mixing Intra-Risk and Spillover-Risk.
CoRR
Yu Zhao, Shaopeng Wei, Yu Guo, Qing Yang, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou
2022 J jnl
Data Poisoning Attacks on Federated Machine Learning.
IEEE Internet Things J.
Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Lingjuan Lyu, Ji Liu
2022 J jnl
E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles.
CoRR
Zhenyu Hu, Zhenyu Wu, Pengcheng Pi, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu
2022 J jnl
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale.
CoRR
Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui
2022 J jnl
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale.
Proc. VLDB Endow.
Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui
2022 A* conf
Improving Certified Robustness via Statistical Learning with Logical Reasoning.
NeurIPS
Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li
2022 — conf
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle.
SIGMOD Conference
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2022 J jnl
LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction.
CoRR
Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song
2022 J jnl
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions.
IEEE Trans. Pattern Anal. Mach. Intell.
Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu
2022 A* conf
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters.
KDD
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
2022 Misc conf
Progressive Teacher-Student Training Framework for Music Tagging.
ICASSP
Rui Lu, Baigong Zheng, Jiarui Hai, Fei Tao, Zhiyao Duan, Ji Liu
2022 A* conf
Prototype Feature Extraction for Multi-task Learning.
WWW
Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang
2022 J jnl
Proximal Online Gradient Is Optimum for Dynamic Regret: A General Lower Bound.
IEEE Trans. Neural Networks Learn. Syst.
Yawei Zhao, Shuang Qiu, Kuan Li, Lailong Luo, Jianping Yin, Ji Liu
2022 J jnl
Stochastic Gradient Descent without Full Data Shuffle.
CoRR
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2022 J jnl
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks.
CoRR
Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Ji Liu, Gang Kou
2022 A* conf
Unified Visual Transformer Compression.
ICLR
Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang
2022 J jnl
Unified Visual Transformer Compression.
CoRR
Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang
2022 J jnl
Variance Reduced Methods for Non-Convex Composition Optimization.
IEEE Trans. Pattern Anal. Mach. Intell.
Liu Liu, Ji Liu, Dacheng Tao
2021 A* conf
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed.
ICML
Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He
2021 J jnl
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed.
CoRR
Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He
2021 J jnl
BAGUA: Scaling up Distributed Learning with System Relaxations.
CoRR
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
2021 J jnl
BAGUA: Scaling up Distributed Learning with System Relaxations.
Proc. VLDB Endow.
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
2021 J jnl
Deep Keyphrase Completion.
CoRR
Yu Zhao, Jia Song, Huali Feng, Fuzhen Zhuang, Qing Li, Xiaojie Wang, Ji Liu
2021 J jnl
Distributed Learning Systems with First-order Methods.
CoRR
Ji Liu, Ce Zhang
2021 J jnl
Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning.
CoRR
Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou
2021 — conf
E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles.
CVPR Workshops
Zhenyu Hu, Pengcheng Pi, Zhenyu Wu, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu
2021 — conf
Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from Audio Stream.
ICBDT
Haoran Wei, Fei Tao, Ji Liu, Sen Yang, Runze Su
2021 A* conf
ErrorCompensatedX: error compensation for variance reduced algorithms.
NeurIPS
Hanlin Tang, Yao Li, Ji Liu, Ming Yan
2021 J jnl
ErrorCompensatedX: error compensation for variance reduced algorithms.
CoRR
Hanlin Tang, Yao Li, Ji Liu, Ming Yan
2021 A* conf
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization.
ICCV
Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu
2021 J jnl
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization.
CoRR
Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu
2021 A* conf
Hand Image Understanding via Deep Multi-Task Learning.
ICCV
Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu
2021 J jnl
Hand Image Understanding via Deep Multi-Task Learning.
CoRR
Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu
2021 — conf
Incorporating Global Information in Local Attention for Knowledge Representation Learning.
ACL/IJCNLP (Findings)
Yu Zhao, Han Zhou, Ruobing Xie, Fuzhen Zhuang, Qing Li, Ji Liu
2021 J jnl
PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic.
CoRR
Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen Yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu
2021 J jnl
POSO: Personalized Cold Start Modules for Large-scale Recommender Systems.
CoRR
Shangfeng Dai, Haobin Lin, Zhichen Zhao, Jianying Lin, Honghuan Wu, Zhe Wang, Sen Yang, Ji Liu
2021 J jnl
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters.
CoRR
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
2021 J jnl
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies.
CoRR
Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui
2021 A* conf
Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors.
KDD
Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu
2021 A* conf
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting.
ICCV
Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding
2021 A* conf
Shifted Chunk Transformer for Spatio-Temporal Representational Learning.
NeurIPS
Xuefan Zha, Wentao Zhu, Xun Lv, Sen Yang, Ji Liu
2021 J jnl
Shifted Chunk Transformer for Spatio-Temporal Representational Learning.
CoRR
Xuefan Zha, Wentao Zhu, Tingxun Lv, Sen Yang, Ji Liu
2021 C conf
SpeechNAS: Towards Better Trade-Off Between Latency and Accuracy for Large-Scale Speaker Verification.
ASRU
Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu
2021 J jnl
SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification.
CoRR
Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu
2021 A* conf
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework.
NeurIPS
Shun Lu, Jixiang Li, Jianchao Tan, Sen Yang, Ji Liu
2021 — conf
The 2020 Low-Power Computer Vision Challenge.
AICAS
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
2021 A* conf
UMEC: Unified model and embedding compression for efficient recommendation systems.
ICLR
Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu
2020 J jnl
APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm.
CoRR
Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ji Liu, Yuxiong He, Ce Zhang
2020 A* conf
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach.
CVPR
Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu
2020 J jnl
Data Poisoning Attacks on Federated Machine Learning.
CoRR
Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Ji Liu
2020 J jnl
Deep Cascade Model-Based Face Recognition: When Deep-Layered Learning Meets Small Data.
IEEE Trans. Image Process.
Lei Zhang, Ji Liu, Bob Zhang, David Zhang, Ce Zhu
2020 J jnl
Deep-Like Hashing-in-Hash for Visual Retrieval: An Embarrassingly Simple Method.
IEEE Trans. Image Process.
Lei Zhang, Ji Liu, Fuxiang Huang, Yang Yang, David Zhang
2020 J jnl
Distributed Learning Systems with First-Order Methods.
Found. Trends Databases
Ji Liu, Ce Zhang
2020 J jnl
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines.
CoRR
Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang
2020 J jnl
Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from audio stream.
CoRR
Haoran Wei, Fei Tao, Runze Su, Sen Yang, Ji Liu
2020 J jnl
Finite-Sample Analysis of GTD Algorithms.
CoRR
Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
2020 J jnl
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework.
CoRR
Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang
2020 — conf
GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework.
ECCV (4)
Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang
2020 A* conf
HOT-Net: Non-Autoregressive Transformer for 3D Hand-Object Pose Estimation.
ACM Multimedia
Lin Huang, Jianchao Tan, Jingjing Meng, Ji Liu, Junsong Yuan
2020 — conf
Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation.
ECCV (25)
Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan
2020 J jnl
Hierarchical Prototype Learning for Zero-Shot Recognition.
IEEE Trans. Multim.
Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu
2020 A* conf
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval.
CVPR
Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han
2020 J jnl
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval.
CoRR
Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han
2020 J jnl
Learning Simple Thresholded Features With Sparse Support Recovery.
IEEE Trans. Circuits Syst. Video Technol.
Hongyu Xu, Zhangyang Wang, Haichuan Yang, Ding Liu, Ji Liu
2020 J jnl
Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization.
CoRR
Xiaohan Ding, Tianxiang Hao, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding
2020 A* conf
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free.
NeurIPS
Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang
2020 J jnl
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free.
CoRR
Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang
2020 J jnl
Optimal Projection Guided Transfer Hashing for Image Retrieval.
IEEE Trans. Circuits Syst. Video Technol.
Lei Zhang, Ji Liu, Yang Yang, Fuxiang Huang, Feiping Nie, David Zhang
2020 J jnl
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity.
CoRR
Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik
2020 J jnl
Regularized Off-Policy TD-Learning.
CoRR
Bo Liu, Sridhar Mahadevan, Ji Liu
2020 J jnl
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach.
CoRR
Yunjie Zhang, Fei Tao, Xudong Liu, Runze Su, Xiaorong Mei, Weicong Ding, Zhichen Zhao, Lei Yuan, Ji Liu
2020 J jnl
Themes Inferred Audio-visual Correspondence Learning.
CoRR
Runze Su, Fei Tao, Xudong Liu, Haoran Wei, Xiaorong Mei, Zhiyao Duan, Lei Yuan, Ji Liu, Yuying Xie
2019 A conf
A Generic Active Learning Framework for Class Imbalance Applications.
BMVC
Aditya R. Bhattacharya, Ji Liu, Shayok Chakraborty
2019 J jnl
A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.
IEEE Trans. Neural Networks Learn. Syst.
Ke Ren, Haichuan Yang, Yu Zhao, Wu Chen, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu
2019 J jnl
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries.
CoRR
Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu
2019 J jnl
Adversarially Trained Model Compression: When Robustness Meets Efficiency.
CoRR
Shupeng Gui, Haotao Wang, Chen Yu, Haichuan Yang, Zhangyang Wang, Ji Liu
2019 J jnl
Anomaly detection via adaptive greedy model.
Neurocomputing
Dongdong Hou, Yang Cong, Gan Sun, Ji Liu, Xiaowei Xu
2019 A conf
AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI.
AISTATS
Chen Yu, Bojan Karlas, Jie Zhong, Ce Zhang, Ji Liu
2019 J jnl
Central Server Free Federated Learning over Single-sided Trust Social Networks.
CoRR
Chaoyang He, Conghui Tan, Hanlin Tang, Shuang Qiu, Ji Liu
2019 J jnl
DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression.
CoRR
Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu
2019 A* conf
Distributed Learning over Unreliable Networks.
ICML
Chen Yu, Hanlin Tang, Cédric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ce Zhang, Ji Liu
2019 J jnl
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression.
CoRR
Hanlin Tang, Xiangru Lian, Tong Zhang, Ji Liu
2019 A* conf
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression.
ICML
Hanlin Tang, Chen Yu, Xiangru Lian, Tong Zhang, Ji Liu
2019 J jnl
Dualityfree Methods for Stochastic Composition Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Liu Liu, Ji Liu, Dacheng Tao
2019 A* conf
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model.
CVPR
Haichuan Yang, Yuhao Zhu, Ji Liu
2019 A* conf
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent.
NeurIPS
Huizhuo Yuan, Xiangru Lian, Chris Junchi Li, Ji Liu, Wenqing Hu
2019 — conf
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking.
ICLR (Poster)
Haichuan Yang, Yuhao Zhu, Ji Liu
2019 A* conf
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks.
NeurIPS
Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu
2019 J jnl
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks.
CoRR
Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Ji Liu, Jungong Han
2019 J jnl
Hierarchical Prototype Learning for Zero-Shot Recognition.
CoRR
Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu
2019 A* conf
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning.
NeurIPS
Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, Dacheng Tao
2019 J jnl
Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization.
CoRR
Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu
2019 J jnl
Lifelong Metric Learning.
IEEE Trans. Cybern.
Gan Sun, Yang Cong, Ji Liu, Lianqing Liu, Xiaowei Xu, Haibin Yu
2019 — conf
Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications.
ICLR (Poster)
Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu
2019 A* conf
Model Compression with Adversarial Robustness: A Unified Optimization Framework.
NeurIPS
Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu
2019 A* conf
Optimal Projection Guided Transfer Hashing for Image Retrieval.
AAAI
Ji Liu, Lei Zhang
2019 J jnl
Optimal Projection Guided Transfer Hashing for Image Retrieval.
CoRR
Ji Liu, Lei Zhang
2019 J jnl
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions.
CoRR
Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu
2019 A conf
Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization.
AISTATS
Xiangru Lian, Ji Liu
2019 J jnl
Seeing All From a Few: ℓ
IEEE Trans. Neural Networks Learn. Syst.
Xingxing Zhang, Zhenfeng Zhu, Yao Zhao, Dongxia Chang, Ji Liu
2019 J jnl
Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization.
CoRR
Huizhuo Yuan, Xiangru Lian, Ji Liu
2018 J jnl
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.
CoRR
Ke Ren, Haichuan Yang, Yu Zhao, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu
2018 A* conf
Asynchronous Decentralized Parallel Stochastic Gradient Descent.
ICML
Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu
2018 A* conf
Communication Compression for Decentralized Training.
NeurIPS
Hanlin Tang, Shaoduo Gan, Ce Zhang, Tong Zhang, Ji Liu
2018 A* conf
D
ICML
Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu
2018 J jnl
D
CoRR
Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu
2018 J jnl
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning.
CoRR
Bo Liu, Luwan Zhang, Ji Liu
2018 J jnl
Decentralization Meets Quantization.
CoRR
Hanlin Tang, Ce Zhang, Shaoduo Gan, Tong Zhang, Ji Liu
2018 J jnl
Distributed Learning over Unreliable Networks.
CoRR
Hanlin Tang, Chen Yu, Cédric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ji Liu, Ce Zhang
2018 J jnl
ECC: Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model.
CoRR
Haichuan Yang, Yuhao Zhu, Ji Liu
2018 J jnl
Ease.ml in Action: Towards Multi-tenant Declarative Learning Services.
Proc. VLDB Endow.
Bojan Karlas, Ji Liu, Wentao Wu, Ce Zhang
2018 J jnl
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads.
Proc. VLDB Endow.
Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang
2018 J jnl
End-to-End Learning of Energy-Constrained Deep Neural Networks.
CoRR
Haichuan Yang, Yuhao Zhu, Ji Liu
2018 J jnl
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning.
CoRR
Shupeng Gui, Xiangliang Zhang, Shuang Qiu, Mingrui Wu, Jieping Ye, Ji Liu
2018 J jnl
Learning Simple Thresholded Features with Sparse Support Recovery.
CoRR
Zhangyang Wang, Hongyu Xu, Haichuan Yang, Ding Liu, Ji Liu
2018 J jnl
Marginal Policy Gradients for Complex Control.
CoRR
Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu
2018 J jnl
Multi-device, Multi-tenant Model Selection with GP-EI.
CoRR
Chen Yu, Bojan Karlas, Jie Zhong, Ce Zhang, Ji Liu
2018 J jnl
Online Similarity Learning for Big Data with Overfitting.
IEEE Trans. Big Data
Yang Cong, Ji Liu, Baojie Fan, Peng Zeng, Haibin Yu, Jiebo Luo
2018 J jnl
Optimal Expert Knowledge Elicitation for Bayesian Network Structure Identification.
IEEE Trans Autom. Sci. Eng.
Cao Xiao, Yan Jin, Ji Liu, Bo Zeng, Shuai Huang
2018 J jnl
P-MCGS: Parallel Monte Carlo Acyclic Graph Search.
CoRR
Chen Yu, Jianshu Chen, Jie Zhong, Ji Liu
2018 — conf
Pixel Saliency Based Encoding for Fine-Grained Image Classification.
PRCV (1)
Chao Yin, Lei Zhang, Ji Liu
2018 J jnl
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity.
J. Artif. Intell. Res.
Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik
2018 J jnl
Proximal Online Gradient is Optimum for Dynamic Regret.
CoRR
Yawei Zhao, Shuang Qiu, Ji Liu
2018 — conf
R2PG: Risk-Sensitive and Reliable Policy Gradient.
AAAI Workshops
Bo Liu, Ji Liu, Kenan Xiao
2018 J jnl
Revisit Batch Normalization: New Understanding from an Optimization View and a Refinement via Composition Optimization.
CoRR
Xiangru Lian, Ji Liu
2018 J jnl
Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem.
CoRR
Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao
2018 J jnl
Switching-State Dynamical Modeling of Daily Behavioral Data.
J. Heal. Informatics Res.
Randy Ardywibowo, Shuai Huang, Shupeng Gui, Cao Xiao, Yu Cheng, Ji Liu, Xiaoning Qian
2018 J jnl
User attribute discovery with missing labels.
Pattern Recognit.
Yang Cong, Gan Sun, Ji Liu, Haibin Yu, Jiebo Luo
2017 J jnl
A scalable algorithm for structure identification of complex gene regulatory network from temporal expression data.
BMC Bioinform.
Shupeng Gui, Andrew P. Rice, Rui Chen, Liang Wu, Ji Liu, Hongyu Miao
2017 J jnl
Accelerating Stochastic Composition Optimization.
J. Mach. Learn. Res.
Mengdi Wang, Ji Liu, Ethan X. Fang
2017 J jnl
Adaptive Greedy Dictionary Selection for Web Media Summarization.
IEEE Trans. Image Process.
Yang Cong, Ji Liu, Gan Sun, Quanzeng You, Yuncheng Li, Jiebo Luo
2017 J jnl
Asynchronous Decentralized Parallel Stochastic Gradient Descent.
CoRR
Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu
2017 J jnl
CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements.
J. Biomed. Informatics
Yijun Huang, Qiang Meng, Heather L. Evans, William B. Lober, Yu Cheng, Xiaoning Qian, Ji Liu, Shuai Huang
2017 — conf
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent.
NIPS
Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu
2017 J jnl
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent.
CoRR
Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu
2017 J jnl
Duality-free Methods for Stochastic Composition Optimization.
CoRR
Liu Liu, Ji Liu, Dacheng Tao
2017 J jnl
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads.
CoRR
Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang
2017 A conf
Finite-sum Composition Optimization via Variance Reduced Gradient Descent.
AISTATS
Xiangru Lian, Mengdi Wang, Ji Liu
2017 J jnl
Lifelong Metric Learning.
CoRR
Gan Sun, Yang Cong, Ji Liu, Xiaowei Xu
2017 A* conf
On The Projection Operator to A Three-view Cardinality Constrained Set.
ICML
Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu
2017 J jnl
On The Projection Operator to A Three-view Cardinality Constrained Set.
CoRR
Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu
2017 J jnl
Prognostics of surgical site infections using dynamic health data.
J. Biomed. Informatics
Chuyang Ke, Yan Jin, Heather L. Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang
2017 — conf
Sparse Softmax Vector Coding Based Deep Cascade Model.
CCCV (2)
Ji Liu, Lei Zhang
2017 A conf
Transformed Anti-Sparse Hashing.
BMVC
Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang
2017 A* conf
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning.
ICML
Hantian Zhang, Jerry Li, Kaan Kara, Dan Alistarh, Ji Liu, Ce Zhang
2016 — conf
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order.
NIPS
Xiangru Lian, Huan Zhang, Cho-Jui Hsieh, Yijun Huang, Ji Liu
2016 Misc conf
A stochastic compositional gradient method using Markov samples.
WSC
Mengdi Wang, Ji Liu
2016 — conf
Accelerating Stochastic Composition Optimization.
NIPS
Mengdi Wang, Ji Liu, Ethan X. Fang
2016 J jnl
An accelerated randomized Kaczmarz algorithm.
Math. Comput.
Ji Liu, Stephen J. Wright
2016 — conf
Asynchronous Parallel Greedy Coordinate Descent.
NIPS
Yang You, Xiangru Lian, Ji Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, James Demmel, Cho-Jui Hsieh
2016 A conf
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application in Sparse Reinforcement Learning.
UAI
Bo Liu, Luwan Zhang, Ji Liu
2016 A* conf
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity.
CVPR
Haichuan Yang, Yijun Huang, Lam Tran, Ji Liu, Shuai Huang
2016 A* conf
Online Feature Selection: A Limited-Memory Substitution Algorithm and Its Asynchronous Parallel Variation.
KDD
Haichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu
2016 A* conf
Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features.
AAAI
Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu
2016 J jnl
Prognostics of Surgical Site Infections using Dynamic Health Data.
CoRR
Chuyang Ke, Yan Jin, Heather L. Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang
2016 A* conf
Proximal Gradient Temporal Difference Learning Algorithms.
IJCAI
Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
2016 A* conf
Staleness-Aware Async-SGD for Distributed Deep Learning.
IJCAI
Wei Zhang, Suyog Gupta, Xiangru Lian, Ji Liu
2016 A* conf
Uncorrelated Group LASSO.
AAAI
Deguang Kong, Ji Liu, Bo Liu, Xuan Bao
2016 J jnl
ZipML: An End-to-end Bitwise Framework for Dense Generalized Linear Models.
CoRR
Hantian Zhang, Kaan Kara, Jerry Li, Dan Alistarh, Ji Liu, Ce Zhang
2015 J jnl
An asynchronous parallel stochastic coordinate descent algorithm.
J. Mach. Learn. Res.
Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar
2015 — conf
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization.
NIPS
Xiangru Lian, Yijun Huang, Yuncheng Li, Ji Liu
2015 J jnl
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization.
CoRR
Xiangru Lian, Yijun Huang, Yuncheng Li, Ji Liu
2015 J jnl
Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties.
SIAM J. Optim.
Ji Liu, Stephen J. Wright
2015 J jnl
Deep sparse feature selection for computer aided endoscopy diagnosis.
Pattern Recognit.
Yang Cong, Shuai Wang, Ji Liu, Jun Cao, Yunsheng Yang, Jiebo Luo
2015 J jnl
Exclusive Sparsity Norm Minimization with Random Groups via Cone Projection.
CoRR
Yijun Huang, Ji Liu
2015 A conf
Finite-Sample Analysis of Proximal Gradient TD Algorithms.
UAI
Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
2015 J jnl
Speeded Up Low-Rank Online Metric Learning for Object Tracking.
IEEE Trans. Circuits Syst. Video Technol.
Yang Cong, Baojie Fan, Ji Liu, Jiebo Luo, Haibin Yu
2015 J jnl
Staleness-aware Async-SGD for Distributed Deep Learning.
CoRR
Wei Zhang, Suyog Gupta, Xiangru Lian, Ji Liu
2015 A* conf
Unsupervised Extraction of Human-Interpretable Nonverbal Behavioral Cues in a Public Speaking Scenario.
ACM Multimedia
Mohammad Iftekhar Tanveer, Ji Liu, Mohammed (Ehsan) Hoque
2014 J jnl
An Asynchronous Parallel Randomized Kaczmarz Algorithm.
CoRR
Ji Liu, Stephen J. Wright, Srikrishna Sridhar
2014 A* conf
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm.
ICML
Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar
2014 — conf
Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm.
NIPS
Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris H. Q. Ding
2014 A* conf
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint.
ICML
Ji Liu, Jieping Ye, Ryohei Fujimaki
2014 — ch.
Low-Rank Online Metric Learning.
Low-Rank and Sparse Modeling for Visual Analysis
Yang Cong, Ji Liu, Junsong Yuan, Jiebo Luo
2014 J jnl
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces.
CoRR
Sridhar Mahadevan, Bo Liu, Philip S. Thomas, William Dabney, Stephen Giguere, Nicholas Jacek, Ian Gemp, Ji Liu
2014 — conf
Spectral Clustering with a Convex Regularizer on Millions of Images.
ECCV (3)
Maxwell D. Collins, Ji Liu, Jia Xu, Lopamudra Mukherjee, Vikas Singh
2013 J jnl
Abnormal event detection in crowded scenes using sparse representation.
Pattern Recognit.
Yang Cong, Junsong Yuan, Ji Liu
2013 — conf
An Approximate, Efficient LP Solver for LP Rounding.
NIPS
Srikrishna Sridhar, Stephen J. Wright, Christopher Ré, Ji Liu, Victor Bittorf, Ce Zhang
2013 J jnl
An Approximate, Efficient Solver for LP Rounding.
CoRR
Srikrishna Sridhar, Victor Bittorf, Ji Liu, Ce Zhang, Christopher Ré, Stephen J. Wright
2013 — conf
Guaranteed Sparse Recovery under Linear Transformation.
ICML (3)
Ji Liu, Lei Yuan, Jieping Ye
2013 J jnl
Self-Supervised Online Metric Learning With Low Rank Constraint for Scene Categorization.
IEEE Trans. Image Process.
Yang Cong, Ji Liu, Junsong Yuan, Jiebo Luo
2013 J jnl
Tensor Completion for Estimating Missing Values in Visual Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping Ye
2012 J jnl
A Multi-Stage Framework for Dantzig Selector and LASSO.
J. Mach. Learn. Res.
Ji Liu, Peter Wonka, Jieping Ye
2012 J jnl
Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks.
ACM Trans. Knowl. Discov. Data
Jianhui Chen, Ji Liu, Jieping Ye
2012 — conf
Regularized Off-Policy TD-Learning.
NIPS
Bo Liu, Sridhar Mahadevan, Ji Liu
2012 J jnl
Robust Dequantized Compressive Sensing
CoRR
Ji Liu, Stephen J. Wright
2012 J jnl
Sparse non-negative tensor factorization using columnwise coordinate descent.
Pattern Recognit.
Ji Liu, Jun Liu, Peter Wonka, Jieping Ye
2011 A* conf
Sparse reconstruction cost for abnormal event detection.
CVPR
Yang Cong, Junsong Yuan, Ji Liu
2010 A* conf
Learning incoherent sparse and low-rank patterns from multiple tasks.
KDD
Jianhui Chen, Ji Liu, Jieping Ye
2010 — conf
Multi-Stage Dantzig Selector.
NIPS
Ji Liu, Peter Wonka, Jieping Ye
2009 A* conf
Tensor completion for estimating missing values in visual data.
ICCV
Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping Ye
2008 — conf
A PDES Method Preserving Boundaries on Dense Disparity Map Reconstruction.
VISAPP (2)
Ji Liu, Junjian Peng, Yuechao Wang, Yandong Tang
2008 — conf
A Stairway Detection Algorithm based on Vision for UGV Stair Climbing.
ICNSC
Yang Cong, Xiaomao Li, Ji Liu, Yandong Tang
2008 — conf
A navigation simulation system of lunar rover.
ICNSC
Ji Liu, Yuechao Wang, Chuan Zhou, Yanfeng Geng, Yang Cong
2008 B conf
Lunar terrain reconstruction using PDEs.
ICIP
Ji Liu, Yang Cong, Xiaomao Li, Yuechao Wang, Yandong Tang, Chuan Zhou