Chenliang Li

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2025
Aligning Frozen LLMs by Reinforcement Learning: An Iterative Reweight-then-Optimize Approach.
CoRR, June, 2025

Short-Path Prompting in LLMs: Analyzing Reasoning Instability and Solutions for Robust Performance.
CoRR, April, 2025

HiHo: A Hierarchical and Homogenous Subgraph Learning Model for Knowledge Graph Relation Prediction.
Semantic Web, 2025

Retrieval augmentation for text-to-table generation.
Inf. Process. Manag., 2025

Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
BGAT-CCRF: A novel end-to-end model for knowledge graph noise correction.
Neural Networks, 2024

TaReT: Temporal knowledge graph reasoning based on topology-aware dynamic relation graph and temporal fusion.
Inf. Process. Manag., 2024

A review of graph neural networks and pretrained language models for knowledge graph reasoning.
Neurocomputing, 2024

Joint Demonstration and Preference Learning Improves Policy Alignment with Human Feedback.
CoRR, 2024

Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Dependency Structure-Enhanced Graph Attention Networks for Event Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Twitter user geolocation based on heterogeneous relationship modeling and representation learning.
Inf. Sci., November, 2023

A Class of Smoothing Modulus-Based Iterative Methods for Solving the Stochastic Mixed Complementarity Problems.
Symmetry, 2023

A New Extrapolation Economy Cascadic Multigrid Method for Image Restoration Problems.
CoRR, 2023

Cascadic Tensor Multigrid Method and Economic Cascadic Tensor Multigrid Method for Image Restoration Problems.
CoRR, 2023

A Class of Smoothing Modulus-Based Iterative Method for Solving Implicit Complementarity Problems.
CoRR, 2023

Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning.
CoRR, 2023

Transformer Based Approach for Wireless Resource Allocation Problems Involving Mixed Discrete and Continuous Variables.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Bayesian Approach to Robust Inverse Reinforcement Learning.
Proceedings of the Conference on Robot Learning, 2023

2022
Constrained multi-objective differential evolution algorithm with ranking mutation operator.
Expert Syst. Appl., 2022

Consensus reaching model for counter-intuitive in D-S evidence theory and application under 2-tuple linguistic representation.
Eng. Appl. Artif. Intell., 2022

Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding.
CoRR, 2022

Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading.
CoRR, 2022

When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adaptive Feature Discrimination and Denoising for Asymmetric Text Matching.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Cross-Domain Product Search with Knowledge Graph.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Opposition-based learning grey wolf optimizer for global optimization.
Knowl. Based Syst., 2021

A TODIM-based approach for the assessment of social vulnerability in Jiangsu province from 2012 to 2017.
J. Intell. Fuzzy Syst., 2021

An integrated approach to site selection for a big data center using PROMETHEE-MCGP methodology.
J. Intell. Fuzzy Syst., 2021

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., 2021

Deep context modeling for multi-turn response selection in dialogue systems.
Inf. Process. Manag., 2021

A knee-guided differential evolution algorithm for unmanned aerial vehicle path planning in disaster management.
Appl. Soft Comput., 2021

Adapted Graph Reasoning and Filtration for Description-Image Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

A Trigger-Aware Multi-task Learning for Chinese Event Entity Recognition.
Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
A constrained differential evolution algorithm to solve UAV path planning in disaster scenarios.
Knowl. Based Syst., 2020

Heterogeneous graph-based joint representation learning for users and POIs in location-based social network.
Inf. Process. Manag., 2020

An Improved Parameter Control Based on a Fuzzy System for Gravitational Search Algorithm.
Int. J. Comput. Intell. Syst., 2020

Multi-task learning for abstractive text summarization with key information guide network.
EURASIP J. Adv. Signal Process., 2020

A novel case adaptation method based on differential evolution algorithm for disaster emergency.
Appl. Soft Comput., 2020

PARS: Peers-aware Recommender System.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Context-aware Deep Model for Joint Mobility and Time Prediction.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

On Teaching Method of Numerical Solution to Partial Differential Equations Based on Mathematical Thinking Methods.
Proceedings of the CIPAE 2020: 2020 International Conference on Computers, 2020

MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Graph kernel based link prediction for signed social networks.
Inf. Fusion, 2019

Evaluate the Effectiveness of Multiobjective Evolutionary Algorithms by Box Plots and Fuzzy TOPSIS.
Int. J. Comput. Intell. Syst., 2019

Negative sign prediction for signed social networks.
Future Gener. Comput. Syst., 2019

Filtering and Classifying Relevant Short Text with a Few Seed Words.
Data Inf. Manag., 2019

Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders.
CoRR, 2019

Obj-GloVe: Scene-Based Contextual Object Embedding.
CoRR, 2019

Review-Driven Answer Generation for Product-Related Questions in E-Commerce.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

A Capsule Network for Recommendation and Explaining What You Like and Dislike.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Network Embedding via Link Strength Adjusted Random Walk.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2019

A Review-Driven Neural Model for Sequential Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cross-Domain Recommendation via Preference Propagation GraphNet.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Exploiting Multiple Embeddings for Chinese Named Entity Recognition.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

A Deep Neural Framework for Sales Forecasting in E-Commerce.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Socialized healthcare service recommendation using deep learning.
Neural Comput. Appl., 2018

Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

PARL: Let Strangers Speak Out What You Like.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Dataless Text Classification: A Topic Modeling Approach with Document Manifold.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Prior Knowledge Integrated with Self-attention for Event Detection.
Proceedings of the Information Retrieval - 24th China Conference, 2018

A Deep Relevance Model for Zero-Shot Document Filtering.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Multi-label Dataless Text Classification with Topic Modeling.
CoRR, 2017

IoT Service Provider Recommender Model Using Trust Strength.
Proceedings of the IoT as a Service - Third International Conference, 2017

Kernel Searching Strategy for Recommender Searching Mechanism.
Proceedings of the Cloud Computing and Security - Third International Conference, 2017

Modeling Language Discrepancy for Cross-Lingual Sentiment Analysis.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Modulus-based matrix splitting iteration methods for a class of implicit complementarity problems.
Numer. Linear Algebra Appl., 2016

Cascadic multigrid methods combined with sixth order compact scheme for poisson equation.
Numer. Algorithms, 2016

2015
Modulus-based matrix splitting iteration methods for a class of nonlinear complementarity problem.
Appl. Math. Comput., 2015

2014
A Preconditioned Multisplitting and Schwarz Method for Linear Complementarity Problem.
J. Appl. Math., 2014

Richardson Cascadic Multigrid Method for 2D Poisson Equation Based on a Fourth Order Compact Scheme.
J. Appl. Math., 2014

2013
Harnessing online social media to deal with information overload.
PhD thesis, 2013

A sixth-order fast algorithm for the electromagnetic scattering from large open cavities.
Appl. Math. Comput., 2013

A new parallel cascadic multigrid method.
Appl. Math. Comput., 2013

2012
A Fast Preconditioned Iterative Algorithm for the Electromagnetic Scattering from a Large Cavity.
J. Sci. Comput., 2012


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