Jian Li

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 108

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Lingxiao Huang, Jian Li, Xuan Wu
On Optimal Coreset Construction for Euclidean (k, z)-Clustering. STOC (2024)
Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu, Jian Li
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange. CIKM (2023)
Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, Hang Zhao
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference. CoRR (2023)
Shichuan Deng, Jian Li, Yuval Rabani
Generalized Unrelated Machine Scheduling Problem. SODA (2023)
Zhize Li, Jian Li, Hongwei Huo
Optimal in-place suffix sorting. Inf. Comput. 285 (Part) (2022)
Shichuan Deng, Jian Li, Yuval Rabani
Generalized Unrelated Machine Scheduling Problem. CoRR (2022)
Jian Li, Daogao Liu
Multi-token Markov Game with Switching Costs. SODA (2022)
Jian Li, Xuanyuan Luo
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior. CoRR (2022)
Zhize Li, Jian Li
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization. J. Mach. Learn. Res. 23 (2022)
Shichuan Deng, Jian Li, Yuval Rabani
Approximation algorithms for clustering with dynamic points. J. Comput. Syst. Sci. 130 (2022)
Yuanbing Li, Xian Wu, Yifei Jin, Jian Li, Guoliang Li, Jianhua Feng
Adapative algorithms for crowd-aided categorization. VLDB J. 31 (6) (2022)
Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li
Analyzing and Mitigating Interference in Neural Architecture Search. ICML (2022)
Xuedi Qin, Chengliang Chai, Nan Tang, Jian Li, Yuyu Luo, Guoliang Li, Yaoyu Zhu
Synthesizing Privacy Preserving Entity Resolution Datasets. ICDE (2022)
Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li
Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework. AAAI (2021)
Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu
Return-Based Contrastive Representation Learning for Reinforcement Learning. CoRR (2021)
Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu
Return-Based Contrastive Representation Learning for Reinforcement Learning. ICLR (2021)
Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu
NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search. CoRR (2021)
Jian Li, Daogao Liu
Markov Game with Switching Costs. CoRR (2021)
Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu
NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search. KDD (2021)
Jin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, Tie-Yan Liu
LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition. KDD (2020)
Yuanbing Li, Xian Wu, Yifei Jin, Jian Li, Guoliang Li
Efficient Algorithms for Crowd-Aided Categorization. Proc. VLDB Endow. 13 (8) (2020)
Lingxiao Huang, Jian Li, Qicai Shi
Approximation algorithms for the connected sensor cover problem. Theor. Comput. Sci. 809 (2020)
Haotian Jiang, Jian Li, Daogao Liu, Sahil Singla
Algorithms and Adaptivity Gaps for Stochastic k-TSP. ITCS (2020)
Shichuan Deng, Jian Li, Yuval Rabani
Approximation Algorithms for Clustering with Dynamic Points. ESA (2020)
Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li
DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis. CoRR (2020)
Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li
DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis. ICDM (2020)
Chengliang Chai, Lei Cao, Guoliang Li, Jian Li, Yuyu Luo, Samuel Madden
Human-in-the-loop Outlier Detection. SIGMOD Conference (2020)
Kaifeng Lyu, Jian Li
Gradient Descent Maximizes the Margin of Homogeneous Neural Networks. ICLR (2020)
Jin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, Tie-Yan Liu
LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition. CoRR (2020)
Chuheng Zhang, Yuanqi Li, Jian Li
Policy Search by Target Distribution Learning for Continuous Control. AAAI (2020)
Jian Li, Xuanyuan Luo, Mingda Qiao
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning. ICLR (2020)
Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li
Exploration by Maximizing Rényi Entropy for Zero-Shot Meta RL. CoRR (2020)
Zhize Li, Jian Li
A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization. AISTATS (2020)
Shichuan Deng, Jian Li, Yuval Rabani
Approximation Algorithms for Clustering with Dynamic Points. CoRR (2020)
Haotian Jiang, Jian Li, Daogao Liu, Sahil Singla
Algorithms and Adaptivity Gaps for Stochastic k-TSP. CoRR (2019)
Chuheng Zhang, Yuanqi Li, Jian Li
Policy Search by Target Distribution Learning for Continuous Control. CoRR (2019)
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. CoRR (2019)
Jian Li, Amol Deshpande
Maximizing Expected Utility for Stochastic Combinatorial Optimization Problems. Math. Oper. Res. 44 (1) (2019)
Jianhao Yan, Lin He, Ruqin Huang, Jian Li, Ying Liu
Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision. NAACL-HLT (1) (2019)
Jian Li, Xuanyuan Luo, Mingda Qiao
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning. CoRR (2019)
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. WWW (2019)
Tianyi Zhang, Jiaying Ren, Christopher Gianelli, Jian Li
RFI Mitigation for One-Bit UWB Radar Systems. ACSSC (2019)
Kaifeng Lyu, Jian Li
Gradient Descent Maximizes the Margin of Homogeneous Neural Networks. CoRR (2019)
Zhize Li, Tianyi Zhang, Shuyu Cheng, Jun Zhu, Jian Li
Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference. Mach. Learn. 108 (8-9) (2019)
Yu Shi, Jian Li, Zhize Li
Gradient Boosting with Piece-Wise Linear Regression Trees. IJCAI (2019)
Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li
BRITS: Bidirectional Recurrent Imputation for Time Series. NeurIPS (2018)
Min Xie, Raymond Chi-Wing Wong, Jian Li, Cheng Long, Ashwin Lall
Efficient k-Regret Query Algorithm with Restriction-free Bound for any Dimensionality. SIGMOD Conference (2018)
Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu
Epsilon-Coresets for Clustering (with Outliers) in Doubling Metrics. FOCS (2018)
Zhize Li, Le Zhang, Zhixuan Fang, Jian Li
A Two-Stage Mechanism for Ordinal Peer Assessment. SAGT (2018)
Zhize Li, Jian Li, Hongwei Huo
Optimal In-Place Suffix Sorting. DCC (2018)
Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li
BRITS: Bidirectional Recurrent Imputation for Time Series. CoRR (2018)
Yifei Jin, Jian Li, Wei Zhan
Odd Yao-Yao Graphs are Not Spanners. SoCG (2018)
Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu
ε-Coresets for Clustering (with Outliers) in Doubling Metrics. CoRR (2018)
Chengliang Chai, Guoliang Li, Jian Li, Dong Deng, Jianhua Feng
A partial-order-based framework for cost-effective crowdsourced entity resolution. VLDB J. 27 (6) (2018)
Zhize Li, Jian Li
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization. CoRR (2018)
Yu Shi, Jian Li, Zhize Li
Gradient Boosting With Piece-Wise Linear Regression Trees. CoRR (2018)
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. WSDM (2018)
Lingxiao Huang, Yifei Jin, Jian Li
SVM via Saddle Point Optimization: New Bounds and Distributed Algorithms. SWAT (2018)
Zhize Li, Jian Li
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization. NeurIPS (2018)
Zhize Li, Jian Li
An Anderson-Chebyshev Mixing Method for Nonlinear Optimization. CoRR (2018)
Shuang Hao, Nan Tang, Guoliang Li, Jian Li, Jianhua Feng
Distilling relations using knowledge bases. VLDB J. 27 (4) (2018)
Guoliang Li, Chengliang Chai, Ju Fan, Xueping Weng, Jian Li, Yudian Zheng, Yuanbing Li, Xiang Yu, Xiaohang Zhang, Haitao Yuan
CDB: A Crowd-Powered Database System. Proc. VLDB Endow. 11 (12) (2018)
Dong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng
When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks. AAAI (2018)
Kai Jin, Jian Li, Haitao Wang, Bowei Zhang, Ningye Zhang
Near-linear time approximation schemes for geometric maximum coverage. Theor. Comput. Sci. 725 (2018)
Zhize Li, Jian Li, Hongwei Huo
Optimal In-Place Suffix Sorting. SPIRE (2018)
Zhize Li, Tianyi Zhang, Jian Li
Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference. CoRR (2018)
Lijie Chen, Jian Li, Mingda Qiao
Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection. CoRR (2017)
Kai Jin, Jian Li, Haitao Wang, Bowei Zhang, Ningye Zhang
Linear Time Approximation Schemes for Geometric Maximum Coverage. CoRR (2017)
Lijie Chen, Jian Li, Mingda Qiao
Towards Instance Optimal Bounds for Best Arm Identification. COLT (2017)
Hu Ding, Lunjia Hu, Lingxiao Huang, Jian Li
Capacitated Center Problems with Two-Sided Bounds and Outliers. WADS (2017)
Yifei Jin, Lingxiao Huang, Jian Li
SVM via Saddle Point Optimization: New Bounds and Distributed Algorithms. CoRR (2017)
Dong Wang, Wei Cao, Jian Li, Jieping Ye
DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks. ICDE (2017)
Shuang Hao, Nan Tang, Guoliang Li, Jian Li
Cleaning Relations Using Knowledge Bases. ICDE (2017)
Kaifeng Lv, Shunhua Jiang, Jian Li
Learning Gradient Descent: Better Generalization and Longer Horizons. ICML (2017)
Haotian Jiang, Jian Li, Mingda Qiao
Practical Algorithms for Best-K Identification in Multi-Armed Bandits. CoRR (2017)
Lijie Chen, Jian Li, Mingda Qiao
Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection. AISTATS (2017)
Hu Ding, Lunjia Hu, Lingxiao Huang, Jian Li
Capacitated Center Problems with Two-Sided Bounds and Outliers. CoRR (2017)
Lijie Chen, Anupam Gupta, Jian Li, Mingda Qiao, Ruosong Wang
Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration. COLT (2017)
Lijie Chen, Anupam Gupta, Jian Li, Mingda Qiao, Ruosong Wang
Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration. CoRR (2017)
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. CoRR (2017)
Guoliang Li, Chengliang Chai, Ju Fan, Xueping Weng, Jian Li, Yudian Zheng, Yuanbing Li, Xiang Yu, Xiaohang Zhang, Haitao Yuan
CDB: Optimizing Queries with Crowd-Based Selections and Joins. SIGMOD Conference (2017)
Lingxiao Huang, Yifei Jin, Jian Li, Haitao Wang
Improved Algorithms For Structured Sparse Recovery. CoRR (2017)
Lingxiao Huang, Jian Li
-Flat-Center Problems. SODA (2017)
Yifei Jin, Jian Li, Wei Zhan
Odd Yao-Yao Graphs may Not be Spanners. CoRR (2017)
Wei Cao, Jian Li, Haitao Wang, Kangning Wang, Ruosong Wang, Raymond Chi-Wing Wong, Wei Zhan
k-Regret Minimizing Set: Efficient Algorithms and Hardness. ICDT (2017)
Kaifeng Lv, Shunhua Jiang, Jian Li
Learning Gradient Descent: Better Generalization and Longer Horizons. CoRR (2017)
Lingxiao Huang, Jian Li, Jeff M. Phillips, Haitao Wang
epsilon-Kernel Coresets for Stochastic Points. ESA (2016)
Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu
Store Location Selection via Mining Search Query Logs of Baidu Maps. CoRR (2016)
Lingxiao Huang, Jian Li
Stochastic k-Center and j-Flat-Center Problems. CoRR (2016)
Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, Pinyan Lu
Combinatorial Multi-Armed Bandit with General Reward Functions. NIPS (2016)
Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, Pinyan Lu
Combinatorial Multi-Armed Bandit with General Reward Functions. CoRR (2016)
Jian Li, Haitao Wang
Range queries on uncertain data. Theor. Comput. Sci. 609 (2016)
Mengwen Xu, Dong Wang, Jian Li
DESTPRE: a data-driven approach to destination prediction for taxi rides. UbiComp (2016)
Lijie Chen, Jian Li, Mingda Qiao
Towards Instance Optimal Bounds for Best Arm Identification. CoRR (2016)
Lijie Chen, Jian Li
Open Problem: Best Arm Identification: Almost Instance-Wise Optimality and the Gap Entropy Conjecture. COLT (2016)
Jian Li, Wei Zhan
Almost All Even Yao-Yao Graphs Are Spanners. CoRR (2016)
Mohammad Taghi Hajiaghayi, Wei Hu, Jian Li, Shi Li, Barna Saha
-Median. ACM Trans. Algorithms 12 (3) (2016)
Jian Li, Wei Zhan
Almost All Even Yao-Yao Graphs Are Spanners. ESA (2016)
Lijie Chen, Jian Li
Open Problem: Best Arm Identification: Almost Instance-Wise Optimality and the Gap Entropy Conjecture. CoRR (2016)
Dong Wang, Wei Cao, Mengwen Xu, Jian Li
ETCPS: An Effective and Scalable Traffic Condition Prediction System. DASFAA (2) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jian Li