Jian Li - RankMe

229 papers A* 54A 12B 11C 4Misc 4Journal 119Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Navigating the Alpha Jungle: An LLM-Powered MCTS Framework for Formulaic Alpha Factor Mining. AAAI Yu Shi, Yitong Duan, Jian Li
2025	J	`jnl`	Adaptivity Gaps for Stochastic Probing with Subadditive Functions. CoRR Jian Li, Yinchen Liu, Yiran Zhang
2025	A*	`conf`	Coresets for Constrained Clustering: General Assignment Constraints and Improved Size Bounds. SODA Lingxiao Huang, Jian Li, Pinyan Lu, Xuan Wu
2025	A*	`conf`	FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction. AAAI Yitong Duan, Weiran Wang, Jian Li
2025	J	`jnl`	FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction. CoRR Yitong Duan, Weiran Wang, Jian Li
2025	—	`conf`	FactorMAD: A Multi-Agent Debate Framework Based on Large Language Models for Interpretable Stock Alpha Factor Mining. ICAIF Yitong Duan, Chuheng Zhang, Jian Li
2025	J	`jnl`	Navigating the Alpha Jungle: An LLM-Powered MCTS Framework for Formulaic Factor Mining. CoRR Yu Shi, Yitong Duan, Jian Li
2025	A*	`conf`	New Results on a General Class of Minimum Norm Optimization Problems. ICALP Kuowen Chen, Jian Li, Yuval Rabani, Yiran Zhang
2025	J	`jnl`	New Results on a General Class of Minimum Norm Optimization Problems. CoRR Kuowen Chen, Jian Li, Yuval Rabani, Yiran Zhang
2025	J	`jnl`	Toward Automatic Market Making: An Imitative Reinforcement Learning Approach With Predictive Representation Learning. IEEE Trans. Emerg. Top. Comput. Intell. Siyuan Li, Yafei Chen, Hui Niu, Jiahao Zheng, Zhouchi Lin, Jian Li, Jian Guo, Zhen Wang
2024	B	`conf`	A Causal Stacking Hidden Markov Model for Time Series Forecasting. IJCNN Hui Niu, Xinheng Li, Jian Li
2024	J	`jnl`	FeatureLTE: Learning to Estimate Feature Importance. Proc. ACM Manag. Data Tianping Zhang, Zhaoyang Wang, Chen Qian, Jian Li, Yin Lou
2024	A*	`conf`	On Optimal Coreset Construction for Euclidean (k, z)-Clustering. STOC Lingxiao Huang, Jian Li, Xuan Wu
2024	A*	`conf`	Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling. IJCAI Liang Zeng, Lei Wang, Hui Niu, Ruchen Zhang, Ling Wang, Jian Li
2024	J	`jnl`	WavChat: A Survey of Spoken Dialogue Models. CoRR Shengpeng Ji, Yifu Chen, Minghui Fang, Jialong Zuo, Jingyu Lu, Hanting Wang, Ziyue Jiang, Long Zhou, Shujie Liu, Xize Cheng, Xiaoda Yang, Zehan Wang, Qian Yang, Jian Li, Yidi Jiang, Jingzhen He, Yunfei Chu, Jin Xu, Zhou Zhao
2023	A*	`conf`	AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation. AAAI Lei Wang, Liang Zeng, Jian Li
2023	A	`conf`	AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange. CIKM Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu, Jian Li
2023	J	`jnl`	Coresets for Clustering with General Assignment Constraints. CoRR Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu
2023	A*	`conf`	Generalized Unrelated Machine Scheduling Problem. SODA Shichuan Deng, Jian Li, Yuval Rabani
2023	A*	`conf`	ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. AAAI Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li
2023	J	`jnl`	LCM-LoRA: A Universal Stable-Diffusion Acceleration Module. CoRR Simian Luo, Yiqin Tan, Suraj Patil, Daniel Gu, Patrick von Platen, Apolinário Passos, Longbo Huang, Jian Li, Hang Zhao
2023	J	`jnl`	Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference. CoRR Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, Hang Zhao
2023	J	`jnl`	MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction. CoRR Liang Zeng, Lanqing Li, Jian Li
2023	A*	`conf`	Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization. ICLR Jing Zhou, Zongyu Lin, Yanan Zheng, Jian Li, Zhilin Yang
2023	A*	`conf`	Towards Generalizable Reinforcement Learning for Trade Execution. IJCAI Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao
2023	J	`jnl`	Towards Generalizable Reinforcement Learning for Trade Execution. CoRR Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao
2022	J	`jnl`	Adapative algorithms for crowd-aided categorization. VLDB J. Yuanbing Li, Xian Wu, Yifei Jin, Jian Li, Guoliang Li, Jianhua Feng
2022	A*	`conf`	Analyzing and Mitigating Interference in Neural Architecture Search. ICML Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li
2022	J	`jnl`	Approximation algorithms for clustering with dynamic points. J. Comput. Syst. Sci. Shichuan Deng, Jian Li, Yuval Rabani
2022	A*	`conf`	AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020. ICDE Jin Xu, Mingjian Chen, Jianqiang Huang, Xingyuan Tang, Ke Hu, Jian Li, Jia Cheng, Jun Lei
2022	A	`conf`	DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities. CIKM Shuo Sun, Wanqi Xue, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An
2022	A*	`conf`	FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns. AAAI Yitong Duan, Lei Wang, Qizhong Zhang, Jian Li
2022	J	`jnl`	Generalization Bounds for Gradient Methods via Discrete and Continuous Prior. CoRR Jian Li, Xuanyuan Luo
2022	J	`jnl`	Generalized Unrelated Machine Scheduling Problem. CoRR Shichuan Deng, Jian Li, Yuval Rabani
2022	J	`jnl`	ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. CoRR Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li
2022	A*	`conf`	Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation. NeurIPS Jin Xu, Xiaojiang Liu, Jianhao Yan, Deng Cai, Huayang Li, Jian Li
2022	J	`jnl`	Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation. CoRR Jin Xu, Xiaojiang Liu, Jianhao Yan, Deng Cai, Huayang Li, Jian Li
2022	J	`jnl`	Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures. CoRR Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, Jian Li
2022	A*	`conf`	Multi-token Markov Game with Switching Costs. SODA Jian Li, Daogao Liu
2022	J	`jnl`	OpenFE: Automated Feature Generation beyond Expert-level Performance. CoRR Tianping Zhang, Zheyu Zhang, Zhiyuan Fan, Haoyan Luo, Fengyuan Liu, Wei Cao, Jian Li
2022	J	`jnl`	Optimal in-place suffix sorting. Inf. Comput. Zhize Li, Jian Li, Hongwei Huo
2022	J	`jnl`	Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization. CoRR Zhize Li, Jian Li
2022	J	`jnl`	Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization. J. Mach. Learn. Res. Zhize Li, Jian Li
2022	A*	`conf`	Synthesizing Privacy Preserving Entity Resolution Datasets. ICDE Xuedi Qin, Chengliang Chai, Nan Tang, Jian Li, Yuyu Luo, Guoliang Li, Yaoyu Zhu
2022	J	`jnl`	Towards Optimal Coreset Construction for (k, z)-Clustering: Breaking the Quadratic Dependency on k. CoRR Lingxiao Huang, Jian Li, Xuan Wu
2021	J	`jnl`	Analyzing and Mitigating Interference in Neural Architecture Search. CoRR Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li
2021	J	`jnl`	AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020. CoRR Jin Xu, Mingjian Chen, Jianqiang Huang, Xingyuan Tang, Ke Hu, Jian Li, Jia Cheng, Jun Lei
2021	A*	`conf`	Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework. AAAI Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li
2021	J	`jnl`	FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. CoRR Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang
2021	J	`jnl`	FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. CoRR Jing Zhou, Yanan Zheng, Jie Tang, Jian Li, Zhilin Yang
2021	J	`jnl`	Graph Symbiosis Learning. CoRR Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu, Jian Li
2021	J	`jnl`	Markov Game with Switching Costs. CoRR Jian Li, Daogao Liu
2021	A*	`conf`	NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search. KDD Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu
2021	J	`jnl`	NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search. CoRR Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu
2021	A*	`conf`	Return-Based Contrastive Representation Learning for Reinforcement Learning. ICLR Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu
2021	J	`jnl`	Return-Based Contrastive Representation Learning for Reinforcement Learning. CoRR Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu
2021	J	`jnl`	Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Adaptive Refined Labeling. CoRR Liang Zeng, Lei Wang, Hui Niu, Jian Li, Ruchen Zhang, Zhonghao Dai, Dewei Zhu, Ling Wang
2020	A	`conf`	A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization. AISTATS Zhize Li, Jian Li
2020	A	`conf`	Algorithms and Adaptivity Gaps for Stochastic k-TSP. ITCS Haotian Jiang, Jian Li, Daogao Liu, Sahil Singla
2020	A*	`conf`	An Adaptive Master-Slave Regularized Model for Unexpected Revenue Prediction Enhanced with Alternative Data. ICDE Jin Xu, Jingbo Zhou, Yongpo Jia, Jian Li, Hui Xiong
2020	A	`conf`	Approximation Algorithms for Clustering with Dynamic Points. ESA Shichuan Deng, Jian Li, Yuval Rabani
2020	J	`jnl`	Approximation Algorithms for Clustering with Dynamic Points. CoRR Shichuan Deng, Jian Li, Yuval Rabani
2020	J	`jnl`	Approximation algorithms for the connected sensor cover problem. Theor. Comput. Sci. Lingxiao Huang, Jian Li, Qicai Shi
2020	A*	`conf`	DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis. ICDM Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li
2020	J	`jnl`	DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis. CoRR Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li
2020	J	`jnl`	Efficient Algorithms for Crowd-Aided Categorization. Proc. VLDB Endow. Yuanbing Li, Xian Wu, Yifei Jin, Jian Li, Guoliang Li
2020	J	`jnl`	Exploration by Maximizing Rényi Entropy for Zero-Shot Meta RL. CoRR Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li
2020	A*	`conf`	Gradient Descent Maximizes the Margin of Homogeneous Neural Networks. ICLR Kaifeng Lyu, Jian Li
2020	—	`conf`	Human-in-the-loop Outlier Detection. SIGMOD Conference Chengliang Chai, Lei Cao, Guoliang Li, Jian Li, Yuyu Luo, Samuel Madden
2020	A*	`conf`	LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition. KDD Jin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, Tie-Yan Liu
2020	J	`jnl`	LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition. CoRR Jin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, Tie-Yan Liu
2020	A*	`conf`	On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning. ICLR Jian Li, Xuanyuan Luo, Mingda Qiao
2020	A*	`conf`	Policy Search by Target Distribution Learning for Continuous Control. AAAI Chuheng Zhang, Yuanqi Li, Jian Li
2019	J	`jnl`	Algorithms and Adaptivity Gaps for Stochastic k-TSP. CoRR Haotian Jiang, Jian Li, Daogao Liu, Sahil Singla
2019	A*	`conf`	Gradient Boosting with Piece-Wise Linear Regression Trees. IJCAI Yu Shi, Jian Li, Zhize Li
2019	J	`jnl`	Gradient Descent Maximizes the Margin of Homogeneous Neural Networks. CoRR Kaifeng Lyu, Jian Li
2019	J	`jnl`	Maximizing Expected Utility for Stochastic Combinatorial Optimization Problems. Math. Oper. Res. Jian Li, Amol Deshpande
2019	A*	`conf`	NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. WWW Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
2019	J	`jnl`	NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. CoRR Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
2019	J	`jnl`	On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning. CoRR Jian Li, Xuanyuan Luo, Mingda Qiao
2019	J	`jnl`	Policy Search by Target Distribution Learning for Continuous Control. CoRR Chuheng Zhang, Yuanqi Li, Jian Li
2019	—	`conf`	Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision. NAACL-HLT (1) Jianhao Yan, Lin He, Ruqin Huang, Jian Li, Ying Liu
2019	J	`jnl`	Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference. Mach. Learn. Zhize Li, Tianyi Zhang, Shuyu Cheng, Jun Zhu, Jian Li
2018	A*	`conf`	A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization. NeurIPS Zhize Li, Jian Li
2018	J	`jnl`	A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization. CoRR Zhize Li, Jian Li
2018	B	`conf`	A Two-Stage Mechanism for Ordinal Peer Assessment. SAGT Zhize Li, Le Zhang, Zhixuan Fang, Jian Li
2018	J	`jnl`	A partial-order-based framework for cost-effective crowdsourced entity resolution. VLDB J. Chengliang Chai, Guoliang Li, Jian Li, Dong Deng, Jianhua Feng
2018	J	`jnl`	An Anderson-Chebyshev Mixing Method for Nonlinear Optimization. CoRR Zhize Li, Jian Li
2018	A*	`conf`	BRITS: Bidirectional Recurrent Imputation for Time Series. NeurIPS Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li
2018	J	`jnl`	BRITS: Bidirectional Recurrent Imputation for Time Series. CoRR Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li
2018	J	`jnl`	CDB: A Crowd-Powered Database System. Proc. VLDB Endow. Guoliang Li, Chengliang Chai, Ju Fan, Xueping Weng, Jian Li, Yudian Zheng, Yuanbing Li, Xiang Yu, Xiaohang Zhang, Haitao Yuan
2018	J	`jnl`	Distilling relations using knowledge bases. VLDB J. Shuang Hao, Nan Tang, Guoliang Li, Jian Li, Jianhua Feng
2018	—	`conf`	Efficient k-Regret Query Algorithm with Restriction-free Bound for any Dimensionality. SIGMOD Conference Min Xie, Raymond Chi-Wing Wong, Jian Li, Cheng Long, Ashwin Lall
2018	A*	`conf`	Epsilon-Coresets for Clustering (with Outliers) in Doubling Metrics. FOCS Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu
2018	J	`jnl`	Gradient Boosting With Piece-Wise Linear Regression Trees. CoRR Yu Shi, Jian Li, Zhize Li
2018	J	`jnl`	Near-linear time approximation schemes for geometric maximum coverage. Theor. Comput. Sci. Kai Jin, Jian Li, Haitao Wang, Bowei Zhang, Ningye Zhang
2018	A	`conf`	Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. WSDM Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang
2018	A*	`conf`	Odd Yao-Yao Graphs are Not Spanners. SoCG Yifei Jin, Jian Li, Wei Zhan
2018	B	`conf`	Optimal In-Place Suffix Sorting. DCC Zhize Li, Jian Li, Hongwei Huo
2018	C	`conf`	Optimal In-Place Suffix Sorting. SPIRE Zhize Li, Jian Li, Hongwei Huo
2018	—	`conf`	SVM via Saddle Point Optimization: New Bounds and Distributed Algorithms. SWAT Lingxiao Huang, Yifei Jin, Jian Li
2018	J	`jnl`	Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference. CoRR Zhize Li, Tianyi Zhang, Jian Li
2018	A*	`conf`	When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks. AAAI Dong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng
2018	J	`jnl`	ε-Coresets for Clustering (with Outliers) in Doubling Metrics. CoRR Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu
2017	—	`conf`	CDB: Optimizing Queries with Crowd-Based Selections and Joins. SIGMOD Conference Guoliang Li, Chengliang Chai, Ju Fan, Xueping Weng, Jian Li, Yudian Zheng, Yuanbing Li, Xiang Yu, Xiaohang Zhang, Haitao Yuan
2017	B	`conf`	Capacitated Center Problems with Two-Sided Bounds and Outliers. WADS Hu Ding, Lunjia Hu, Lingxiao Huang, Jian Li
2017	J	`jnl`	Capacitated Center Problems with Two-Sided Bounds and Outliers. CoRR Hu Ding, Lunjia Hu, Lingxiao Huang, Jian Li
2017	A*	`conf`	Cleaning Relations Using Knowledge Bases. ICDE Shuang Hao, Nan Tang, Guoliang Li, Jian Li
2017	A*	`conf`	DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks. ICDE Dong Wang, Wei Cao, Jian Li, Jieping Ye
2017	J	`jnl`	Improved Algorithms For Structured Sparse Recovery. CoRR Lingxiao Huang, Yifei Jin, Jian Li, Haitao Wang
2017	A*	`conf`	Learning Gradient Descent: Better Generalization and Longer Horizons. ICML Kaifeng Lv, Shunhua Jiang, Jian Li
2017	J	`jnl`	Learning Gradient Descent: Better Generalization and Longer Horizons. CoRR Kaifeng Lv, Shunhua Jiang, Jian Li
2017	J	`jnl`	Linear Time Approximation Schemes for Geometric Maximum Coverage. CoRR Kai Jin, Jian Li, Haitao Wang, Bowei Zhang, Ningye Zhang
2017	A	`conf`	Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection. AISTATS Lijie Chen, Jian Li, Mingda Qiao
2017	J	`jnl`	Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection. CoRR Lijie Chen, Jian Li, Mingda Qiao
2017	A*	`conf`	Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration. COLT Lijie Chen, Anupam Gupta, Jian Li, Mingda Qiao, Ruosong Wang
2017	J	`jnl`	Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration. CoRR Lijie Chen, Anupam Gupta, Jian Li, Mingda Qiao, Ruosong Wang
2017	J	`jnl`	Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. CoRR Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang
2017	J	`jnl`	Odd Yao-Yao Graphs may Not be Spanners. CoRR Yifei Jin, Jian Li, Wei Zhan
2017	J	`jnl`	Practical Algorithms for Best-K Identification in Multi-Armed Bandits. CoRR Haotian Jiang, Jian Li, Mingda Qiao
2017	J	`jnl`	SVM via Saddle Point Optimization: New Bounds and Distributed Algorithms. CoRR Yifei Jin, Lingxiao Huang, Jian Li
2017	A*	`conf`	Stochastic SODA Lingxiao Huang, Jian Li
2017	A*	`conf`	Towards Instance Optimal Bounds for Best Arm Identification. COLT Lijie Chen, Jian Li, Mingda Qiao
2017	A	`conf`	k-Regret Minimizing Set: Efficient Algorithms and Hardness. ICDT Wei Cao, Jian Li, Haitao Wang, Kangning Wang, Ruosong Wang, Raymond Chi-Wing Wong, Wei Zhan
2016	J	`jnl`	A Constant Factor Approximation Algorithm for Fault-Tolerant ACM Trans. Algorithms Mohammad Taghi Hajiaghayi, Wei Hu, Jian Li, Shi Li, Barna Saha
2016	A	`conf`	Almost All Even Yao-Yao Graphs Are Spanners. ESA Jian Li, Wei Zhan
2016	J	`jnl`	Almost All Even Yao-Yao Graphs Are Spanners. CoRR Jian Li, Wei Zhan
2016	A*	`conf`	Automatic user identification method across heterogeneous mobility data sources. ICDE Wei Cao, Zhengwei Wu, Dong Wang, Jian Li, Haishan Wu
2016	—	`conf`	Combinatorial Multi-Armed Bandit with General Reward Functions. NIPS Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, Pinyan Lu
2016	J	`jnl`	Combinatorial Multi-Armed Bandit with General Reward Functions. CoRR Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, Pinyan Lu
2016	—	`conf`	Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach. SIGMOD Conference Chengliang Chai, Guoliang Li, Jian Li, Dong Deng, Jianhua Feng
2016	Misc	`conf`	DESTPRE: a data-driven approach to destination prediction for taxi rides. UbiComp Mengwen Xu, Dong Wang, Jian Li
2016	—	`conf`	Demand driven store site selection via multiple spatial-temporal data. SIGSPATIAL/GIS Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu
2016	—	`conf`	ETCPS: An Effective and Scalable Traffic Condition Prediction System. DASFAA (2) Dong Wang, Wei Cao, Mengwen Xu, Jian Li
2016	A*	`conf`	K-Means Clustering with Distributed Dimensions. ICML Hu Ding, Yu Liu, Lingxiao Huang, Jian Li
2016	J	`jnl`	Matroid and Knapsack Center Problems. Algorithmica Danny Z. Chen, Jian Li, Hongyu Liang, Haitao Wang
2016	A*	`conf`	Open Problem: Best Arm Identification: Almost Instance-Wise Optimality and the Gap Entropy Conjecture. COLT Lijie Chen, Jian Li
2016	J	`jnl`	Open Problem: Best Arm Identification: Almost Instance-Wise Optimality and the Gap Entropy Conjecture. CoRR Lijie Chen, Jian Li
2016	J	`jnl`	Optimal In-Place Suffix Sorting. CoRR Zhize Li, Jian Li, Hongwei Huo
2016	A*	`conf`	Pure Exploration of Multi-armed Bandit Under Matroid Constraints. COLT Lijie Chen, Anupam Gupta, Jian Li
2016	J	`jnl`	Pure Exploration of Multi-armed Bandit Under Matroid Constraints. CoRR Lijie Chen, Anupam Gupta, Jian Li
2016	J	`jnl`	Range queries on uncertain data. Theor. Comput. Sci. Jian Li, Haitao Wang
2016	J	`jnl`	Stochastic k-Center and j-Flat-Center Problems. CoRR Lingxiao Huang, Jian Li
2016	J	`jnl`	Store Location Selection via Mining Search Query Logs of Baidu Maps. CoRR Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu
2016	J	`jnl`	Towards Instance Optimal Bounds for Best Arm Identification. CoRR Lijie Chen, Jian Li, Mingda Qiao
2016	A	`conf`	epsilon-Kernel Coresets for Stochastic Points. ESA Lingxiao Huang, Jian Li, Jeff M. Phillips, Haitao Wang
2015	—	`conf`	A PTAS for the Weighted Unit Disk Cover Problem. ICALP (1) Jian Li, Yifei Jin
2015	J	`jnl`	A PTAS for the Weighted Unit Disk Cover Problem. CoRR Jian Li, Yifei Jin
2015	—	`conf`	Approximating the Expected Values for Combinatorial Optimization Problems over Stochastic Points. ICALP (1) Lingxiao Huang, Jian Li
2015	Misc	`conf`	Approximation Algorithms for the Connected Sensor Cover Problem. COCOON Lingxiao Huang, Jian Li, Qicai Shi
2015	J	`jnl`	Approximation Algorithms for the Connected Sensor Cover Problem. CoRR Lingxiao Huang, Jian Li, Qicai Shi
2015	J	`jnl`	Balanced splitting on weighted intervals. Oper. Res. Lett. Wei Cao, Jian Li, Shimin Li, Haitao Wang
2015	—	`conf`	Efficient Similarity Join and Search on Multi-Attribute Data. SIGMOD Conference Guoliang Li, Jian He, Dong Deng, Jian Li
2015	J	`jnl`	Efficient algorithms for the one-dimensional k-center problem. Theor. Comput. Sci. Danny Ziyi Chen, Jian Li, Haitao Wang
2015	A*	`conf`	Learning Arbitrary Statistical Mixtures of Discrete Distributions. STOC Jian Li, Yuval Rabani, Leonard J. Schulman, Chaitanya Swamy
2015	J	`jnl`	Learning Arbitrary Statistical Mixtures of Discrete Distributions. CoRR Jian Li, Yuval Rabani, Leonard J. Schulman, Chaitanya Swamy
2015	Misc	`conf`	Linear Time Approximation Schemes for Geometric Maximum Coverage. COCOON Jian Li, Haitao Wang, Bowei Zhang, Ningye Zhang
2015	J	`jnl`	Linear Time Approximation Schemes for Geometric Maximum Coverage. CoRR Jian Li, Haitao Wang, Bowei Zhang, Ningye Zhang
2015	—	`conf`	On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs. NIPS Wei Cao, Jian Li, Yufei Tao, Zhize Li
2015	J	`jnl`	On the Energy Efficiency of Device Discovery in Mobile Opportunistic Networks: A Systematic Approach. IEEE Trans. Mob. Comput. Bo Han, Jian Li, Aravind Srinivasan
2015	J	`jnl`	On the Optimal Sample Complexity for Best Arm Identification. CoRR Lijie Chen, Jian Li
2015	J	`jnl`	Range Queries on Uncertain Data. CoRR Jian Li, Haitao Wang
2015	—	`conf`	Stochastic Online Greedy Learning with Semi-bandit Feedbacks. NIPS Tian Lin, Jian Li, Wei Chen
2014	J	`jnl`	$ε$-Kernel Coresets for Stochastic Points. CoRR Jian Li, Jeff M. Phillips, Haitao Wang
2014	A*	`conf`	A Constant Factor Approximation Algorithm for Fault-Tolerant SODA MohammadTaghi Hajiaghayi, Wei Hu, Jian Li, Shi Li, Barna Saha
2014	J	`jnl`	A fully polynomial-time approximation scheme for approximating a sum of random variables. Oper. Res. Lett. Jian Li, Tianlin Shi
2014	—	`conf`	A pruning algorithm for optimal diversified search. WWW (Companion Volume) Fei Chen, Yiqun Liu, Jian Li, Min Zhang, Shaoping Ma
2014	A	`conf`	Egalitarian pairwise kidney exchange: fast algorithms vialinear programming and parametric flow. AAMAS Jian Li, Yicheng Liu, Lingxiao Huang, Pingzhong Tang
2014	A*	`conf`	Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing. ICML Yuan Zhou, Xi Chen, Jian Li
2014	B	`conf`	Range Queries on Uncertain Data. ISAAC Jian Li, Haitao Wang
2014	J	`jnl`	The Multi-shop Ski Rental Problem. CoRR Lingqing Ai, Xian Wu, Lingxiao Huang, Longbo Huang, Pingzhong Tang, Jian Li
2014	A*	`conf`	The multi-shop ski rental problem. SIGMETRICS Lingqing Ai, Xian Wu, Lingxiao Huang, Longbo Huang, Pingzhong Tang, Jian Li
2014	J	`jnl`	Trinary-Projection Trees for Approximate Nearest Neighbor Search. IEEE Trans. Pattern Anal. Mach. Intell. Jingdong Wang, Naiyan Wang, You Jia, Jian Li, Gang Zeng, Hongbin Zha, Xian-Sheng Hua
2014	J	`jnl`	Your Friends Have More Friends Than You Do: Identifying Influential Mobile Users Through Random-Walk Sampling. IEEE/ACM Trans. Netw. Bo Han, Jian Li, Aravind Srinivasan
2013	J	`jnl`	A Constant Factor Approximation Algorithm for Fault-Tolerant k-Median. CoRR Mohammad Taghi Hajiaghayi, Wei Hu, Jian Li, Shi Li, Barna Saha
2013	J	`jnl`	Algorithms on Minimizing the Maximum Sensor Movement for Barrier Coverage of a Linear Domain. Discret. Comput. Geom. Danny Z. Chen, Yan Gu, Jian Li, Haitao Wang
2013	J	`jnl`	An FPTAS for Approximating a Sum of Random Variables CoRR Jian Li, Tianlin Shi
2013	J	`jnl`	Efficient Algorithms for One-Dimensional k-Center Problems CoRR Danny Z. Chen, Jian Li, Haitao Wang
2013	J	`jnl`	Matroid and Knapsack Center Problems CoRR Danny Z. Chen, Jian Li, Hongyu Liang, Haitao Wang
2013	B	`conf`	Matroid and Knapsack Center Problems. IPCO Danny Z. Chen, Jian Li, Hongyu Liang, Haitao Wang
2013	—	`conf`	Optimal Allocation for Chunked-Reward Advertising. WINE Weihao Kong, Jian Li, Tie-Yan Liu, Tao Qin
2013	—	`conf`	Ranking with Diverse Intents and Correlated Contents. FSTTCS Jian Li, Zeyu Zhang
2013	J	`jnl`	Ranking with Diverse Intents and Correlated Contents. CoRR Jian Li, Zeyu Zhang
2013	J	`jnl`	Revenue Optimization for Group-Buying Websites CoRR Weihao Kong, Jian Li, Tao Qin, Tie-Yan Liu
2013	J	`jnl`	Scalable Column Concept Determination for Web Tables Using Large Knowledge Bases. Proc. VLDB Endow. Dong Deng, Yu Jiang, Guoliang Li, Jian Li, Cong Yu
2013	A*	`conf`	Stochastic combinatorial optimization via poisson approximation. STOC Jian Li, Wen Yuan
2012	J	`jnl`	Algorithms on Minimizing the Maximum Sensor Movement for Barrier Coverage of a Linear Domain CoRR Danny Z. Chen, Yan Gu, Jian Li, Haitao Wang
2012	—	`conf`	Algorithms on Minimizing the Maximum Sensor Movement for Barrier Coverage of a Linear Domain. SWAT Danny Z. Chen, Yan Gu, Jian Li, Haitao Wang
2012	J	`jnl`	Minimum Spanning Trees, Perfect Matchings and Cycle Covers Over Stochastic Points in Metric Spaces CoRR Lingxiao Huang, Jian Li
2012	J	`jnl`	Stochastic Combinatorial Optimization via Poisson Approximation CoRR Jian Li, Wen Yuan
2012	J	`jnl`	The load-distance balancing problem. Networks Edward Bortnikov, Samir Khuller, Jian Li, Yishay Mansour, Joseph Naor
2012	J	`jnl`	When LP Is the Cure for Your Matching Woes: Improved Bounds for Stochastic Matchings. Algorithmica Nikhil Bansal, Anupam Gupta, Jian Li, Julián Mestre, Viswanath Nagarajan, Atri Rudra
2011	J	`jnl`	A unified approach to ranking in probabilistic databases. VLDB J. Jian Li, Barna Saha, Amol Deshpande
2011	—	`conf`	Data generation using declarative constraints. SIGMOD Conference Arvind Arasu, Raghav Kaushik, Jian Li
2011	J	`jnl`	DataSynth: Generating Synthetic Data using Declarative Constraints. Proc. VLDB Endow. Arvind Arasu, Raghav Kaushik, Jian Li
2011	—	`—`	Decision making under uncertainty. Jian Li
2011	A*	`conf`	Generalized Machine Activation Problems. SODA Jian Li, Samir Khuller
2011	A*	`conf`	Maximizing Expected Utility for Stochastic Combinatorial Optimization Problems. FOCS Jian Li, Amol Deshpande
2011	—	`conf`	Sensitivity analysis and explanations for robust query evaluation in probabilistic databases. SIGMOD Conference Bhargav Kanagal, Jian Li, Amol Deshpande
2010	—	`conf`	Clustering with Diversity. ICALP (1) Jian Li, Ke Yi, Qin Zhang
2010	J	`jnl`	Clustering with diversity CoRR Jian Li, Ke Yi, Qin Zhang
2010	B	`conf`	Densest WAOA Danny Z. Chen, Rudolf Fleischer, Jian Li
2010	—	`conf`	Energy Efficient Scheduling via Partial Shutdown. Scheduling Samir Khuller, Jian Li, Barna Saha
2010	A*	`conf`	Energy Efficient Scheduling via Partial Shutdown. SODA Samir Khuller, Jian Li, Barna Saha
2010	B	`conf`	New Models and Algorithms for Throughput Maximization in Broadcast Scheduling - (Extended Abstract). WAOA Chandra Chekuri, Avigdor Gal, Sungjin Im, Samir Khuller, Jian Li, Richard Matthew McCutchen, Benjamin Moseley, Louiqa Raschid
2010	A*	`conf`	On Computing Compression Trees for Data Collection in Wireless Sensor Networks. INFOCOM Jian Li, Amol Deshpande, Samir Khuller
2010	J	`jnl`	Ranking Continuous Probabilistic Datasets. Proc. VLDB Endow. Jian Li, Amol Deshpande
2010	J	`jnl`	Utility Maximization under Uncertainty CoRR Jian Li, Amol Deshpande
2010	—	`conf`	When LP Is the Cure for Your Matching Woes: Improved Bounds for Stochastic Matchings - (Extended Abstract). ESA (2) Nikhil Bansal, Anupam Gupta, Jian Li, Julián Mestre, Viswanath Nagarajan, Atri Rudra
2010	J	`jnl`	When LP is the Cure for Your Matching Woes: Improved Bounds for Stochastic Matchings CoRR Nikhil Bansal, Anupam Gupta, Jian Li, Julián Mestre, Viswanath Nagarajan, Atri Rudra
2009	J	`jnl`	A Unified Approach to Ranking in Probabilistic Databases CoRR Jian Li, Barna Saha, Amol Deshpande
2009	J	`jnl`	A Unified Approach to Ranking in Probabilistic Databases. Proc. VLDB Endow. Jian Li, Barna Saha, Amol Deshpande
2009	J	`jnl`	An O(log(n)/log(log(n))) upper bound on the price of stability for undirected Shapley network design games. Inf. Process. Lett. Jian Li
2009	A*	`conf`	Consensus answers for queries over probabilistic databases. PODS Jian Li, Amol Deshpande
2009	J	`jnl`	Energy Efficient Scheduling via Partial Shutdown CoRR Samir Khuller, Jian Li, Barna Saha
2009	A*	`conf`	Minimizing Communication Cost in Distributed Multi-query Processing. ICDE Jian Li, Amol Deshpande, Samir Khuller
2009	J	`jnl`	On Computing Compression Trees for Data Collection in Sensor Networks CoRR Jian Li, Amol Deshpande, Samir Khuller
2008	J	`jnl`	An O(log n / log log n}) Upper Bound on the Price of Stability for Undirected Shapley Network Design Games CoRR Jian Li
2008	J	`jnl`	Consensus Answers for Queries over Probabilistic Databases CoRR Jian Li, Amol Deshpande
2008	J	`jnl`	More Efficient Algorithms and Analyses for Unequal Letter Cost Prefix-Free Coding. IEEE Trans. Inf. Theory Mordecai J. Golin, Jian Li
2007	Misc	`conf`	Algorithms for Core Stability, Core Largeness, Exactness, and Extendability of Flow Games. COCOON Qizhi Fang, Rudolf Fleischer, Jian Li, Xiaoxun Sun
2007	B	`conf`	Approximating the Maximum Sharing Problem. WADS Amitabh Chaudhary, Danny Z. Chen, Rudolf Fleischer, Xiaobo Sharon Hu, Jian Li, Michael T. Niemier, Zhiyi Xie, Hong Zhu
2007	C	`conf`	Efficient Algorithms for AAIM Rudolf Fleischer, Qi Ge, Jian Li, Hong Zhu
2007	J	`jnl`	More Efficient Algorithms and Analyses for Unequal Letter Cost Prefix-Free Coding CoRR Mordecai J. Golin, Jian Li
2007	B	`conf`	More Efficient Algorithms and Analyses for Unequal Letter Cost Prefix-Free Coding. ISAAC Mordecai J. Golin, Jian Li
2006	C	`conf`	Non-metric Multicommodity and Multilevel Facility Location. AAIM Rudolf Fleischer, Jian Li, Shijun Tian, Hong Zhu
2006	B	`conf`	On Approximating the Maximum Simple Sharing Problem. ISAAC Danny Z. Chen, Rudolf Fleischer, Jian Li, Zhiyi Xie, Hong Zhu
2006	A	`conf`	Traversing the Machining Graph. ESA Danny Z. Chen, Rudolf Fleischer, Jian Li, Haitao Wang, Hong Zhu
2005	C	`conf`	Approximating Spanning Trees with Inner Nodes Cost. PDCAT Rudolf Fleischer, Qi Ge, Jian Li, Shijun Tian, Haitao Wang