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DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature...
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...
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LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition.
Jin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, Tie-Yan Liu: LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition. CoRR abs/2008.03687 (2020)
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Approximation Algorithms for Clustering with Dynamic Points.
Shichuan Deng, Jian Li, Yuval Rabani: Approximation Algorithms for Clustering with Dynamic Points. CoRR abs/2006.14403 (2020)
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Exploration by Maximizing Rényi Entropy for Zero-Shot Meta RL.
Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li: Exploration by Maximizing Rényi Entropy for Zero-Shot Meta RL. CoRR abs/2006.06193 (2020)
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Human-in-the-loop Outlier Detection.
Chengliang Chai, Lei Cao, Guoliang Li, Jian Li, Yuyu Luo, Samuel Madden: Human-in-the-loop Outlier Detection. SIGMOD Conference 2020: 19-33
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LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition.
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: 2802-2812
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Algorithms and Adaptivity Gaps for Stochastic k-TSP.
Haotian Jiang, Jian Li, Daogao Liu, Sahil Singla: Algorithms and Adaptivity Gaps for Stochastic k-TSP. ITCS 2020: 45:1-45:25
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Gradient Descent Maximizes the Margin of Homogeneous Neural Networks.
Kaifeng Lyu, Jian Li: Gradient Descent Maximizes the Margin of Homogeneous Neural Networks. ICLR 2020
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On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex...
Jian Li, Xuanyuan Luo, Mingda Qiao: On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning. ICLR 2020
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DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature...
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:...
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An Adaptive Master-Slave Regularized Model for Unexpected Revenue Prediction...
Jin Xu, Jingbo Zhou, Yongpo Jia, Jian Li, Hui Xiong: An Adaptive Master-Slave Regularized Model for Unexpected Revenue Prediction Enhanced with Alternative Data. ICDE 2020: 601-612
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Approximation Algorithms for Clustering with Dynamic Points.
Shichuan Deng, Jian Li, Yuval Rabani: Approximation Algorithms for Clustering with Dynamic Points. ESA 2020: 37:1-37:15
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A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization.
Zhize Li, Jian Li: A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization. AISTATS 2020: 1047-1057
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Policy Search by Target Distribution Learning for Continuous Control.
Chuheng Zhang, Yuanqi Li, Jian Li: Policy Search by Target Distribution Learning for Continuous Control. AAAI 2020: 6770-6777
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Approximation algorithms for the connected sensor cover problem.
Lingxiao Huang, Jian Li, Qicai Shi: Approximation algorithms for the connected sensor cover problem. Theor. Comput. Sci. 809: 563-574 (2020)
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Efficient Algorithms for Crowd-Aided Categorization.
Yuanbing Li, Xian Wu, Yifei Jin, Jian Li, Guoliang Li: Efficient Algorithms for Crowd-Aided Categorization. Proc. VLDB Endow. 13(8): 1221-1233 (2020)
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AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020.
Jin Xu, Mingjian Chen, Jianqiang Huang, Xingyuan Tang, Ke Hu, Jian Li, Jia Cheng, Jun Lei: AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020. CoRR abs/2111.12952 (2021)
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Analyzing and Mitigating Interference in Neural Architecture Search.
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. CoRR abs/2108.12821 (2021)
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Markov Game with Switching Costs.
Jian Li, Daogao Liu: Markov Game with Switching Costs. CoRR abs/2107.05822 (2021)
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Graph Symbiosis Learning.
Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu, Jian Li: Graph Symbiosis Learning. CoRR abs/2106.05455 (2021)
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NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural...
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 abs/2105.14444 (2021)
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Return-Based Contrastive Representation Learning for Reinforcement Learning.
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 abs/2102.10960 (2021)
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NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural...
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: 1933-1943
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Return-Based Contrastive Representation Learning for Reinforcement Learning.
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
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Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework.
Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li: Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework. AAAI 2021: 10859-10867
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Towards Optimal Coreset Construction for (k, z)-Clustering: Breaking the...
Lingxiao Huang, Jian Li, Xuan Wu: Towards Optimal Coreset Construction for (k, z)-Clustering: Breaking the Quadratic Dependency on k. CoRR abs/2211.11923 (2022)
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Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex...
Zhize Li, Jian Li: Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization. CoRR abs/2208.10025 (2022)
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Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural...
Jin Xu, Xiaojiang Liu, Jianhao Yan, Deng Cai, Huayang Li, Jian Li: Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation. CoRR abs/2206.02369 (2022)
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Generalization Bounds for Gradient Methods via Discrete and Continuous Prior.
Jian Li, Xuanyuan Luo: Generalization Bounds for Gradient Methods via Discrete and Continuous Prior. CoRR abs/2205.13799 (2022)
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Generalized Unrelated Machine Scheduling Problem.
Shichuan Deng, Jian Li, Yuval Rabani: Generalized Unrelated Machine Scheduling Problem. CoRR abs/2202.06292 (2022)
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Multi-token Markov Game with Switching Costs.
Jian Li, Daogao Liu: Multi-token Markov Game with Switching Costs. SODA 2022: 1780-1807
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Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural...
Jin Xu, Xiaojiang Liu, Jianhao Yan, Deng Cai, Huayang Li, Jian Li: Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation. NeurIPS 2022
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Analyzing and Mitigating Interference in Neural Architecture Search.
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: 24646-24662
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Synthesizing Privacy Preserving Entity Resolution Datasets.
Xuedi Qin, Chengliang Chai, Nan Tang, Jian Li, Yuyu Luo, Guoliang Li, Yaoyu Zhu: Synthesizing Privacy Preserving Entity Resolution Datasets. ICDE 2022: 2359-2371
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AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020.
Jin Xu, Mingjian Chen, Jianqiang Huang, Xingyuan Tang, Ke Hu, Jian Li, Jia Cheng, Jun Lei: AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020. ICDE 2022: 352-366
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Adapative algorithms for crowd-aided categorization.
Yuanbing Li, Xian Wu, Yifei Jin, Jian Li, Guoliang Li, Jianhua Feng: Adapative algorithms for crowd-aided categorization. VLDB J. 31(6): 1311-1337 (2022)
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Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex...
Zhize Li, Jian Li: Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization. J. Mach. Learn. Res. 23: 239:1-239:61 (2022)
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Approximation algorithms for clustering with dynamic points.
Shichuan Deng, Jian Li, Yuval Rabani: Approximation algorithms for clustering with dynamic points. J. Comput. Syst. Sci. 130: 43-70 (2022)
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Optimal in-place suffix sorting.
Zhize Li, Jian Li, Hongwei Huo: Optimal in-place suffix sorting. Inf. Comput. 285(Part): 104818 (2022)
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Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step...
Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, Hang Zhao: Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference. CoRR abs/2310.04378 (2023)
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Coresets for Clustering with General Assignment Constraints.
Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu: Coresets for Clustering with General Assignment Constraints. CoRR abs/2301.08460 (2023)
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Generalized Unrelated Machine Scheduling Problem.
Shichuan Deng, Jian Li, Yuval Rabani: Generalized Unrelated Machine Scheduling Problem. SODA 2023: 2898-2916
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AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange.
Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu, Jian Li: AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange. CIKM 2023: 3134-3143
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On Optimal Coreset Construction for Euclidean (k, z)-Clustering.
Lingxiao Huang, Jian Li, Xuan Wu: On Optimal Coreset Construction for Euclidean (k, z)-Clustering. STOC 2024: 1594-1604
View ArticleTowards Generalizable Reinforcement Learning for Trade Execution.
Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao: Towards Generalizable Reinforcement Learning for Trade Execution. IJCAI 2023: 4975-4983
View ArticleTowards Generalizable Reinforcement Learning for Trade Execution.
Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao: Towards Generalizable Reinforcement Learning for Trade Execution. CoRR abs/2307.11685 (2023)
View ArticleLCM-LoRA: A Universal Stable-Diffusion Acceleration Module.
Simian Luo, Yiqin Tan, Suraj Patil, Daniel Gu, Patrick von Platen, Apolinário Passos, Longbo Huang, Jian Li, Hang Zhao: LCM-LoRA: A Universal Stable-Diffusion Acceleration Module. CoRR abs/2311.05556...
View ArticleFewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language...
Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang: FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language...
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FeatureLTE: Learning to Estimate Feature Importance.
Tianping Zhang, Zhaoyang Wang, Chen Qian, Jian Li, Yin Lou: FeatureLTE: Learning to Estimate Feature Importance. Proc. ACM Manag. Data 2(3): 139 (2024)
View ArticleFlipDA: Effective and Robust Data Augmentation for Few-Shot Learning.
Jing Zhou, Yanan Zheng, Jie Tang, Jian Li, Zhilin Yang: FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. CoRR abs/2108.06332 (2021)
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