Reform and Innovation of Multiform Practical Teaching in Chemical Engineering. - Yuqi Wang; Yarnan Li; Fusheng Yang; Xiaoling Zhao; Xiaolong Han; Binxia Zhao; Liyu Chen; Zhen Wu; Xiaoxun Ma (ICKII, 2018)

Synthesize Policies for Transfer and Adaptation across Tasks and Environments. - Hexiang Hu; Liyu Chen; Boqing Gong; Fei Sha (NeurIPS, 2018)

Hyper-parameter Tuning under a Budget Constraint. - Zhiyun Lu; Liyu Chen; Chao-Kai Chiang; Fei Sha (IJCAI, 2019)

Synthesized Policies for Transfer and Adaptation across Tasks and Environments. - Hexiang Hu; Liyu Chen; Boqing Gong; Fei Sha (CoRR, 2019)

Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition. - Liyu Chen; Haipeng Luo; Chen-Yu Wei (COLT, 2021)

Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications. - Liyu Chen; Haipeng Luo; Chen-Yu Wei (COLT, 2021)

Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case. - Liyu Chen; Haipeng Luo (ICML, 2021)

Learning Hierarchical Visual-Semantic Representation with Phrase Alignment. - Baoming Yan; Qingheng Zhang; Liyu Chen; Lin Wang; Leihao Pei; Jiang Yang; Enyun Yu; Xiaobo Li; Binqiang Zhao (ICMR, 2021)

Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path. - Liyu Chen; Mehdi Jafarnia-Jahromi; Rahul Jain 002; Haipeng Luo (NeurIPS, 2021)

Online Learning for Stochastic Shortest Path Model via Posterior Sampling. - Mehdi Jafarnia-Jahromi; Liyu Chen; Rahul Jain 002; Haipeng Luo (CoRR, 2021)

Policy Learning and Evaluation with Randomized Quasi-Monte Carlo. - Sébastien M. R. Arnold; Pierre L'Ecuyer; Liyu Chen; Yi-Fan Chen; Fei Sha (AISTATS, 2022)

Policy Optimization for Stochastic Shortest Path. - Liyu Chen; Haipeng Luo; Aviv Rosenberg 002 (COLT, 2022)

Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP. - Liyu Chen; Rahul Jain 002; Haipeng Luo (ICML, 2022)

Learning Infinite-horizon Average-reward Markov Decision Process with Constraints. - Liyu Chen; Rahul Jain 002; Haipeng Luo (ICML, 2022)

Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback. - Yan Dai 002; Haipeng Luo; Liyu Chen (NeurIPS, 2022)

Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments. - Liyu Chen; Haipeng Luo (NeurIPS, 2022)

Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints. - Liyu Chen; Rahul Jain 002; Haipeng Luo (CoRR, 2022)

Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path. - Liyu Chen; Andrea Tirinzoni; Matteo Pirotta; Alessandro Lazaric (ALT, 2023)

Research on sports injury recovery detection based on infrared thermography. - Fan Zhang 110; Liyu Chen; Xiao Tan; Yang Li 210; Yu Duan 003 (ICDLT, 2023)

Optimal control system for safety angle of human ankle joint during sports training. - Fan Zhang 110; Xiao Tan; Liyu Chen; Yang Li 210; Yu Duan 003 (ICDLT, 2023)

Research on MEMS sensor-based police physical fitness assistance training system. - Fan Zhang 110; Yang Li 210; Yu Duan 003; Liyu Chen; Xiao Tan (ICDTE, 2023)

Layered State Discovery for Incremental Autonomous Exploration. - Liyu Chen; Andrea Tirinzoni; Alessandro Lazaric; Matteo Pirotta (ICML, 2023)

Posterior sampling-based online learning for the stochastic shortest path model. - Mehdi Jafarnia-Jahromi; Liyu Chen; Rahul Jain 002; Haipeng Luo (UAI, 2023)

B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. - Zishun Yu; Yunzhe Tao; Liyu Chen; Tao Sun 008; Hongxia Yang (CoRR, 2023)

Comparison of different taxation models on cross-border supply chain decisions: Considering disruption forecast and cost differences. - Wei Li; Meng Tong; Haotian Lei; Liyu Chen (Comput. Ind. Eng., 2023)

B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. - Zishun Yu; Yunzhe Tao; Liyu Chen; Tao Sun; Hongxia Yang (ICLR, 2024)

(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model. - Yufeng Zhang; Liyu Chen; Boyi Liu; Yingxiang Yang; Qiwen Cui; Yunzhe Tao; Hongxia Yang (CoRR, 2024)

Collaboration of Teachers for Semi-supervised Object Detection. - Liyu Chen; Huaao Tang; Yi Wen; Hanting Chen; Wei Li 002; Junchao Liu; Jie Hu 021 (CoRR, 2024)

BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data. - Xuwu Wang; Qiwen Cui; Yunzhe Tao; Yiran Wang; Ziwei Chai; Xiaotian Han; Boyi Liu; Jianbo Yuan; Jing Su; Guoyin Wang 002; Tingkai Liu; Liyu Chen; et al. (CoRR, 2024)

Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. - Shenao Zhang; Zhihan Liu; Boyi Liu 001; Yufeng Zhang 007; Yingxiang Yang; Yongfei Liu; Liyu Chen; Tao Sun; Zhaoran Wang 001 (CoRR, 2024)

FullStack Bench: Evaluating LLMs as Full Stack Coders. - Yao Cheng; Jianfeng Chen; Jie Chen; Li Chen; Liyu Chen; Wentao Chen; Zhengyu Chen; Shijie Geng; Aoyan Li; Bo Li; Bowen Li; Linyi Li; et al. (CoRR, 2024)

Passive Vision Detection of Torch Pose in Swing Arc Narrow Gap Welding. - Na Su; Haojin Jia; Liyu Chen; Jiayou Wang; Jie Wang; Youmin Song (Sensors, 2024)

Effective Diffusion Transformer Architecture for Image Super-Resolution. - Kun Cheng; Lei Yu; Zhijun Tu; Xiao He 014; Liyu Chen; Yong Guo; Mingrui Zhu; Nannan Wang 001; Xinbo Gao 001; Jie Hu 021 (AAAI, 2025)

An electric-driven maize seeding system: improving the quality of accelerate seeding using Tracking Differential Filtering-Optimal Tracking Control (TDF-OTC) method. - Chengkun Zhai; Caiyun Lu; Hongwen Li; Jin He; Qingjie Wang; Chao Wang 075; Wenlong Jin; Liyu Chen; Fangle Chang; Jinshuo Bi (Comput. Electron. Agric., 2025)

Financial risk forecasting with RGCT-prerisk: a relational graph and cross-temporal contrastive pretraining framework. - Liyu Chen; Xiangwei Fan (J. King Saud Univ. Comput. Inf. Sci., 2025)

Multimodal GPT model for assisting thyroid nodule diagnosis and management. - Jincao Yao; Yunpeng Wang; Zhikai Lei; Kai Wang; Na Feng; Fajin Dong; Jianhua Zhou; Xiaoxian Li; Xiang Hao; Jiafei Shen; Shanshan Zhao; Yuan Gao; et al. (npj Digit. Medicine, 2025)

TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification. - Yindu Su; Huike Zou; Lin Sun; Ting Zhang 001; Haiyang Yang; Liyu Chen; David Lo 001; Qingheng Zhang; Shuguang Han; Jufeng Chen (CoRR, 2025)

Teaching Language Models to Critique via Reinforcement Learning. - Zhihui Xie 002; Jie Chen; Liyu Chen; Weichao Mao; Jingjing Xu; Lingpeng Kong (CoRR, 2025)

GSID: Generative Semantic Indexing for E-Commerce Product Understanding. - Haiyang Yang; Qinye Xie; Qingheng Zhang; Liyu Chen; Huike Zou; Chengbao Lian; Shuguang Han; Fei Huang 002; Jufeng Chen; Bo Zheng 007 (CoRR, 2025)

Multi-Value-Product Retrieval-Augmented Generation for Industrial Product Attribute Value Identification. - Huike Zou; Haiyang Yang; Yindu Su; Liyu Chen; Chengbao Lian; Qingheng Zhang; Shuguang Han; Jufeng Chen (CoRR, 2025)