Chenliang Li - RankMe

99 papers A* 14A 11B 1C 1Misc 1Journal 61Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Domain Decomposition Method for Solving the Variational Inequality Problems. CoRR Yiyang Wang, Qijia Zhou, Shengyuan Deng, Chenliang Li
2026	J	`jnl`	Deep Ritz Physics-Informed Neural Network Method for Solving the Variational Inequality. CoRR Qijia Zhou, Yiyang Wang, Shengyuan Deng, Chenliang Li
2026	J	`jnl`	Enhancing Pretrained Model-based Continual Representation Learning via Guided Random Projection. CoRR Ruilin Li, Heming Zou, Xiufeng Yan, Zheming Liang, Jie Yang, Chenliang Li, Xue Yang
2026	J	`jnl`	Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shaping. CoRR Miao Peng, Weizhou Shen, Nuo Chen, Chenliang Li, Ming Yan, Jia Li
2025	J	`jnl`	ADARL: Adaptive Low-Rank Structures for Robust Policy Learning under Uncertainty. CoRR Chenliang Li, Junyu Leng, Jiaxiang Li, Youbang Sun, Shixiang Chen, Shahin Shahrampour, Alfredo García
2025	J	`jnl`	Aligning Frozen LLMs by Reinforcement Learning: An Iterative Reweight-then-Optimize Approach. CoRR Xinnan Zhang, Chenliang Li, Siliang Zeng, Jiaxiang Li, Zhongruo Wang, Kaixiang Lin, Songtao Lu, Alfredo García, Mingyi Hong
2025	J	`jnl`	Bi-VLDoc: bidirectional vision-language modeling for visually-rich document understanding. Int. J. Document Anal. Recognit. Chuwei Luo, Guozhi Tang, Qi Zheng, Cong Yao, Lianwen Jin, Chenliang Li, Yang Xue, Luo Si
2025	J	`jnl`	EtCon: Edit-then-Consolidate for Reliable Knowledge Editing. CoRR Ruilin Li, Yibin Wang, Wenhong Zhu, Chenglin Li, Jinghao Zhang, Chenliang Li, Junchi Yan, Jiaqi Wang
2025	J	`jnl`	HiHo: A Hierarchical and Homogenous Subgraph Learning Model for Knowledge Graph Relation Prediction. Semantic Web Jiangtao Ma, Yuke Ma, Fan Zhang, Yanjun Wang, Xiangyang Luo, Chenliang Li, Yaqiong Qiao
2025	A*	`conf`	Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment. ICLR Chenliang Li, Siliang Zeng, Zeyi Liao, Jiaxiang Li, Dongyeop Kang, Alfredo García, Mingyi Hong
2025	J	`jnl`	Retrieval augmentation for text-to-table generation. Inf. Process. Manag. Jiahua Zhang, Meijuan Tan, Jing Zhang, Xiaolu Zhang, Jun Zhou, Chenliang Li
2025	J	`jnl`	ST-PPO: Stabilized Off-Policy Proximal Policy Optimization for Multi-Turn Agents Training. CoRR Chenliang Li, Adel Elmahdy, Alex Boyd, Zhongruo Wang, Alfredo García, Parminder Bhatia, Taha A. Kass-Hout, Cao Xiao, Mingyi Hong
2025	J	`jnl`	Short-Path Prompting in LLMs: Analyzing Reasoning Instability and Solutions for Robust Performance. CoRR Zuoli Tang, Junjie Ou, Kaiqin Hu, Chunwei Wu, Zhaoxin Huan, Chilin Fu, Xiaolu Zhang, Jun Zhou, Chenliang Li
2025	A	`conf`	Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality. AISTATS Ruijia Zhang, Siliang Zeng, Chenliang Li, Alfredo García, Mingyi Hong
2025	J	`jnl`	Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality. CoRR Ruijia Zhang, Siliang Zeng, Chenliang Li, Alfredo García, Mingyi Hong
2024	J	`jnl`	A review of graph neural networks and pretrained language models for knowledge graph reasoning. Neurocomputing Jiangtao Ma, Bo Liu, Kunlin Li, Chenliang Li, Fan Zhang, Xiangyang Luo, Yaqiong Qiao
2024	J	`jnl`	BGAT-CCRF: A novel end-to-end model for knowledge graph noise correction. Neural Networks Jiangtao Ma, Kunlin Li, Fan Zhang, Yanjun Wang, Xiangyang Luo, Chenliang Li, Yaqiong Qiao
2024	A*	`conf`	Dependency Structure-Enhanced Graph Attention Networks for Event Detection. AAAI Qizhi Wan, Changxuan Wan, Keli Xiao, Kun Lu, Chenliang Li, Xiping Liu, Dexi Liu
2024	A*	`conf`	Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment. NeurIPS Jiaxiang Li, Siliang Zeng, Hoi-To Wai, Chenliang Li, Alfredo García, Mingyi Hong
2024	J	`jnl`	Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment. CoRR Jiaxiang Li, Siliang Zeng, Hoi-To Wai, Chenliang Li, Alfredo García, Mingyi Hong
2024	J	`jnl`	Joint Demonstration and Preference Learning Improves Policy Alignment with Human Feedback. CoRR Chenliang Li, Siliang Zeng, Zeyi Liao, Jiaxiang Li, Dongyeop Kang, Alfredo García, Mingyi Hong
2024	J	`jnl`	TaReT: Temporal knowledge graph reasoning based on topology-aware dynamic relation graph and temporal fusion. Inf. Process. Manag. Jiangtao Ma, Kunlin Li, Fan Zhang, Yanjun Wang, Xiangyang Luo, Chenliang Li, Yaqiong Qiao
2023	Misc	`conf`	A Bayesian Approach to Robust Inverse Reinforcement Learning. CoRL Ran Wei, Siliang Zeng, Chenliang Li, Alfredo García, Anthony D. McDonald, Mingyi Hong
2023	J	`jnl`	A Bayesian Approach to Robust Inverse Reinforcement Learning. CoRR Ran Wei, Siliang Zeng, Chenliang Li, Alfredo García, Anthony D. McDonald, Mingyi Hong
2023	J	`jnl`	A Class of Smoothing Modulus-Based Iterative Method for Solving Implicit Complementarity Problems. CoRR Cong Guo, Chenliang Li, Tao Luo
2023	J	`jnl`	A Class of Smoothing Modulus-Based Iterative Methods for Solving the Stochastic Mixed Complementarity Problems. Symmetry Cong Guo, Yingling Liu, Chenliang Li
2023	J	`jnl`	A New Extrapolation Economy Cascadic Multigrid Method for Image Restoration Problems. CoRR Zhaoteng Chu, Ziqi Yan, Chenliang Li
2023	J	`jnl`	Cascadic Tensor Multigrid Method and Economic Cascadic Tensor Multigrid Method for Image Restoration Problems. CoRR Ziqi Yan, Chenliang Li, Yuhan Chen
2023	—	`conf`	Transformer Based Approach for Wireless Resource Allocation Problems Involving Mixed Discrete and Continuous Variables. SPAWC Bingqing Song, Zhicheng Zhou, Chenliang Li, Dongning Guo, Xiao Fu, Mingyi Hong
2023	J	`jnl`	Twitter user geolocation based on heterogeneous relationship modeling and representation learning. Inf. Sci. Yaqiong Qiao, Xiangyang Luo, Jiangtao Ma, Meng Zhang, Chenliang Li
2023	J	`jnl`	Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning. CoRR Siliang Zeng, Chenliang Li, Alfredo García, Mingyi Hong
2023	A*	`conf`	When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning. NeurIPS Siliang Zeng, Chenliang Li, Alfredo García, Mingyi Hong
2022	B	`conf`	Adaptive Feature Discrimination and Denoising for Asymmetric Text Matching. COLING Yan Li, Chenliang Li, Junjun Guo
2022	J	`jnl`	Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding. CoRR Chuwei Luo, Guozhi Tang, Qi Zheng, Cong Yao, Lianwen Jin, Chenliang Li, Yang Xue, Luo Si
2022	J	`jnl`	Consensus reaching model for counter-intuitive in D-S evidence theory and application under 2-tuple linguistic representation. Eng. Appl. Artif. Intell. Chenliang Li, Xiaobing Yu
2022	J	`jnl`	Constrained multi-objective differential evolution algorithm with ranking mutation operator. Expert Syst. Appl. Xiaobing Yu, Wenguan Luo, Wangying Xu, Chenliang Li
2022	A	`conf`	Cross-Domain Product Search with Knowledge Graph. CIKM Rui Zhu, Yiming Zhao, Wei Qu, Zhongyi Liu, Chenliang Li
2022	A	`conf`	Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation. CIKM Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, Zhenhua Huang
2022	A*	`conf`	Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees. NeurIPS Siliang Zeng, Chenliang Li, Alfredo García, Mingyi Hong
2022	J	`jnl`	Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading. CoRR Zitao Song, Xuyang Jin, Chenliang Li
2021	J	`jnl`	A TODIM-based approach for the assessment of social vulnerability in Jiangsu province from 2012 to 2017. J. Intell. Fuzzy Syst. Xiaobing Yu, Xuejing Wu, Hong Chen, Xuming Wang, Chenliang Li, Zhonghui Ji
2021	—	`conf`	A Trigger-Aware Multi-task Learning for Chinese Event Entity Recognition. CCL Yangxiao Xiang, Chenliang Li
2021	J	`jnl`	A hybrid model based on PROMETHEE and PLTSs for the assessment of public participation in community meteorological disaster prevention and mitigation. J. Intell. Fuzzy Syst. Chenliang Li, Xiaobing Yu
2021	J	`jnl`	A knee-guided differential evolution algorithm for unmanned aerial vehicle path planning in disaster management. Appl. Soft Comput. Xiaobing Yu, Chenliang Li, Gary G. Yen
2021	A*	`conf`	Adapted Graph Reasoning and Filtration for Description-Image Retrieval. SIGIR Shiqian Chen, Zhiling Luo, Yingqi Gao, Wei Zhou, Chenliang Li, Haiqing Chen
2021	J	`jnl`	An integrated approach to site selection for a big data center using PROMETHEE-MCGP methodology. J. Intell. Fuzzy Syst. Chenliang Li, Xiaobing Yu, Wen-Xuan Zhao
2021	J	`jnl`	Deep context modeling for multi-turn response selection in dialogue systems. Inf. Process. Manag. Lu Li, Chenliang Li, Donghong Ji
2021	J	`jnl`	Opposition-based learning grey wolf optimizer for global optimization. Knowl. Based Syst. Xiaobing Yu, Wangying Xu, Chenliang Li
2020	J	`jnl`	A constrained differential evolution algorithm to solve UAV path planning in disaster scenarios. Knowl. Based Syst. Xiaobing Yu, Chenliang Li, JiaFang Zhou
2020	J	`jnl`	A novel case adaptation method based on differential evolution algorithm for disaster emergency. Appl. Soft Comput. Xiaobing Yu, Chenliang Li, Wen-Xuan Zhao, Hong Chen
2020	J	`jnl`	An Improved Parameter Control Based on a Fuzzy System for Gravitational Search Algorithm. Int. J. Comput. Intell. Syst. Xianrui Yu, Xiaobing Yu, Chenliang Li, Hong Chen
2020	A	`conf`	Context-aware Deep Model for Joint Mobility and Time Prediction. WSDM Yile Chen, Cheng Long, Gao Cong, Chenliang Li
2020	A*	`conf`	Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification. ACL Hao Tang, Donghong Ji, Chenliang Li, Qiji Zhou
2020	A*	`conf`	MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. ACL Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li
2020	J	`jnl`	MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. CoRR Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li
2020	J	`jnl`	Multi-task learning for abstractive text summarization with key information guide network. EURASIP J. Adv. Signal Process. Weiran Xu, Chenliang Li, Minghao Lee, Chi Zhang
2020	—	`conf`	On Teaching Method of Numerical Solution to Partial Differential Equations Based on Mathematical Thinking Methods. CIPAE Chenliang Li, Cuiyu Liu
2020	A*	`conf`	PARS: Peers-aware Recommender System. WWW Huiqiang Mao, Yanzhi Li, Chenliang Li, Di Chen, Xiaoqing Wang, Yuming Deng
2020	A*	`conf`	Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. ACL Yu Duan, Canwen Xu, Jiaxin Pei, Jialong Han, Chenliang Li
2020	—	`conf`	UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database. AACL/IJCNLP Canwen Xu, Tao Ge, Chenliang Li, Furu Wei
2019	A*	`conf`	A Capsule Network for Recommendation and Explaining What You Like and Dislike. SIGIR Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu
2019	J	`jnl`	A Capsule Network for Recommendation and Explaining What You Like and Dislike. CoRR Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu
2019	A	`conf`	A Deep Neural Framework for Sales Forecasting in E-Commerce. CIKM Yan Qi, Chenliang Li, Han Deng, Min Cai, Yunwei Qi, Yuming Deng
2019	A*	`conf`	A Review-Driven Neural Model for Sequential Recommendation. IJCAI Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan
2019	J	`jnl`	A Review-Driven Neural Model for Sequential Recommendation. CoRR Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan
2019	A	`conf`	Cross-Domain Recommendation via Preference Propagation GraphNet. CIKM Cheng Zhao, Chenliang Li, Cong Fu
2019	J	`jnl`	Evaluate the Effectiveness of Multiobjective Evolutionary Algorithms by Box Plots and Fuzzy TOPSIS. Int. J. Comput. Intell. Syst. Xiaobing Yu, Chenliang Li, Hong Chen, Xianrui Yu
2019	A	`conf`	Exploiting Multiple Embeddings for Chinese Named Entity Recognition. CIKM Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li
2019	J	`jnl`	Exploiting Multiple Embeddings for Chinese Named Entity Recognition. CoRR Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li
2019	J	`jnl`	Filtering and Classifying Relevant Short Text with a Few Seed Words. Data Inf. Manag. Chenliang Li, Shiqian Chen, Yan Qi
2019	J	`jnl`	Graph kernel based link prediction for signed social networks. Inf. Fusion Weiwei Yuan, Kangya He, Donghai Guan, Li Zhou, Chenliang Li
2019	A*	`conf`	Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. AAAI Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan
2019	J	`jnl`	Negative sign prediction for signed social networks. Future Gener. Comput. Syst. Weiwei Yuan, Chenliang Li, Guangjie Han, Donghai Guan, Li Zhou, Kangya He
2019	C	`conf`	Network Embedding via Link Strength Adjusted Random Walk. PKAW Chenliang Li, Donghai Guan, Weiwei Yuan
2019	J	`jnl`	Obj-GloVe: Scene-Based Contextual Object Embedding. CoRR Canwen Xu, Zhenzhong Chen, Chenliang Li
2019	J	`jnl`	Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. CoRR Yu Duan, Jiaxin Pei, Canwen Xu, Chenliang Li
2019	A	`conf`	Review-Driven Answer Generation for Product-Related Questions in E-Commerce. WSDM Shiqian Chen, Chenliang Li, Feng Ji, Wei Zhou, Haiqing Chen
2019	J	`jnl`	Review-Driven Answer Generation for Product-Related Questions in E-Commerce. CoRR Shiqian Chen, Chenliang Li, Feng Ji, Wei Zhou, Haiqing Chen
2018	—	`conf`	A Deep Relevance Model for Zero-Shot Document Filtering. ACL (1) Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen
2018	A	`conf`	Dataless Text Classification: A Topic Modeling Approach with Document Manifold. CIKM Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Chenliang Li
2018	—	`conf`	Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network. NAACL-HLT (2) Chenliang Li, Weiran Xu, Si Li, Sheng Gao
2018	J	`jnl`	Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. CoRR Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan
2018	A	`conf`	PARL: Let Strangers Speak Out What You Like. CIKM Libing Wu, Cong Quan, Chenliang Li, Donghong Ji
2018	—	`conf`	Prior Knowledge Integrated with Self-attention for Event Detection. CCIR Yan Li, Chenliang Li, Weiran Xu, Junliang Li
2018	A*	`conf`	S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information. EMNLP Jiaxin Pei, Chenliang Li
2018	J	`jnl`	Socialized healthcare service recommendation using deep learning. Neural Comput. Appl. Weiwei Yuan, Chenliang Li, Donghai Guan, Guangjie Han, Asad Masood Khattak
2017	—	`conf`	IoT Service Provider Recommender Model Using Trust Strength. IoTaaS Weiwei Yuan, Chenliang Li, Donghai Guan, Guangjie Han, Feng Wang
2017	—	`conf`	Kernel Searching Strategy for Recommender Searching Mechanism. ICCCS (2) Li Zhou, Weiwei Yuan, Kangya He, Chenliang Li, Qiang Li
2017	A	`conf`	Modeling Language Discrepancy for Cross-Lingual Sentiment Analysis. CIKM Qiang Chen, Chenliang Li, Wenjie Li
2017	J	`jnl`	Multi-label Dataless Text Classification with Topic Modeling. CoRR Daochen Zha, Chenliang Li
2016	J	`jnl`	Cascadic multigrid methods combined with sixth order compact scheme for poisson equation. Numer. Algorithms Ming Li, Chenliang Li, Xiangzhao Cui, Jin-e Zhao
2016	J	`jnl`	Modulus-based matrix splitting iteration methods for a class of implicit complementarity problems. Numer. Linear Algebra Appl. Jun-Tao Hong, Chenliang Li
2015	J	`jnl`	Modulus-based matrix splitting iteration methods for a class of nonlinear complementarity problem. Appl. Math. Comput. Zechen Xia, Chenliang Li
2014	J	`jnl`	A Preconditioned Multisplitting and Schwarz Method for Linear Complementarity Problem. J. Appl. Math. Cuiyu Liu, Chenliang Li
2014	J	`jnl`	Richardson Cascadic Multigrid Method for 2D Poisson Equation Based on a Fourth Order Compact Scheme. J. Appl. Math. Ming Li, Chenliang Li
2013	J	`jnl`	A new parallel cascadic multigrid method. Appl. Math. Comput. Chenliang Li
2013	J	`jnl`	A sixth-order fast algorithm for the electromagnetic scattering from large open cavities. Appl. Math. Comput. Chenliang Li, Jingwen Zou
2013	—	`—`	Harnessing online social media to deal with information overload. Chenliang Li
2012	J	`jnl`	A Fast Preconditioned Iterative Algorithm for the Electromagnetic Scattering from a Large Cavity. J. Sci. Comput. Chenliang Li, Zhonghua Qiao