Chenliang Li

Orcid: 0000-0003-3144-6374

According to our database1, Chenliang Li authored at least 214 papers between 2011 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Sequential recommendation by reprogramming pretrained transformer.
Inf. Process. Manag., 2025

2024
A Tensor Multigrid Method for Solving Sylvester Tensor Equations.
IEEE Trans Autom. Sci. Eng., July, 2024

Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation.
ACM Trans. Inf. Syst., May, 2024

DiffuRec: A Diffusion Model for Sequential Recommendation.
ACM Trans. Inf. Syst., May, 2024

Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation.
IEEE Trans. Knowl. Data Eng., April, 2024

Disentangle interest trend and diversity for sequential recommendation.
Inf. Process. Manag., March, 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

Identifying influential nodes in complex networks via Transformer.
Inf. Process. Manag., 2024

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

ProFuser: Progressive Fusion of Large Language Models.
CoRR, 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.
CoRR, 2024

RoleInteract: Evaluating the Social Interaction of Role-Playing Agents.
CoRR, 2024

Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection.
CoRR, 2024

Side Information-Driven Session-based Recommendation: A Survey.
CoRR, 2024

Unified Visual Preference Learning for User Intent Understanding.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Contextual MAB Oriented Embedding Denoising for Sequential Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LT<sup>2</sup>R: Learning to Online Learning to Rank for Web Search.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Small LLMs Are Weak Tool Learners: A Multi-LLM Agent.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Efficient Sparse Attention needs Adaptive Token Release.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

SocialBench: Sociality Evaluation of Role-Playing Conversational Agents.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

2023
Pre-Training Across Different Cities for Next POI Recommendation.
ACM Trans. Web, November, 2023

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

Preconditioned tensor format conjugate gradient squared and biconjugate gradient stabilized methods for solving stein tensor equations.
Numer. Linear Algebra Appl., October, 2023

Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation.
Inf. Sci., May, 2023

On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training.
ACM Trans. Inf. Syst., April, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open, January, 2023

Achieving Human Parity on Visual Question Answering.
ACM Trans. Inf. Syst., 2023

A Critical Study on Data Leakage in Recommender System Offline Evaluation.
ACM Trans. Inf. Syst., 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

On the Opportunities of Green Computing: A Survey.
CoRR, 2023

One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems.
CoRR, 2023

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model.
CoRR, 2023

ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models.
CoRR, 2023

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding.
CoRR, 2023

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

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks.
CoRR, 2023

Unconfounded Propensity Estimation for Unbiased Ranking.
CoRR, 2023

Transforming Visual Scene Graphs to Image Captions.
CoRR, 2023

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.
CoRR, 2023

ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human.
CoRR, 2023

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

Adaptively Clustering Neighbor Elements for Image Captioning.
CoRR, 2023

Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval.
Proceedings of the ACM Web Conference 2023, 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

Poisoning Self-supervised Learning Based Sequential Recommendations.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multi-Scenario Ranking with Adaptive Feature Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Multi-Interest Pre-training with Sparse Capsule Network.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video.
Proceedings of the International Conference on Machine Learning, 2023

A Survey on Deep Learning for Named Entity Recognition : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Learning Trajectory-Word Alignments for Video-Language Tasks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Investigating Conversational Agent Action in Legal Case Retrieval.
Proceedings of the Advances in Information Retrieval, 2023

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

Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Tutorial: Data Denoising Metrics in Recommender Systems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Transforming Visual Scene Graphs to Image Captions.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
A Survey on Deep Learning for Named Entity Recognition.
IEEE Trans. Knowl. Data Eng., 2022

Wavefront-Based Multiple Rumor Sources Identification by Multi-Task Learning.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

A modulus-based cascadic multigrid method for elliptic variational inequality problems.
Numer. Algorithms, 2022

Dynamic intent-aware iterative denoising network for session-based recommendation.
Inf. Process. Manag., 2022

GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded Mechanism.
Inf. Process. Manag., 2022

Query Generation and Buffer Mechanism: Towards a better conversational agent for legal case retrieval.
Inf. Process. Manag., 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

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.
CoRR, 2022

Recommender May Not Favor Loyal Users.
CoRR, 2022

Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Automatic Expert Selection for Multi-Scenario and Multi-Task Search.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Knowledge Graph Contrastive Learning for Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Is News Recommendation a Sequential Recommendation Task?
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 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

Multi-Agent RL-based Information Selection 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

An Attribute-Driven Mirror Graph Network for Session-based Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

User-Aware Multi-Interest Learning for Candidate Matching in Recommenders.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Mutual Disentanglement Learning for Joint Fine-Grained Sentiment Classification and Controllable Text Generation.
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

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective.
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 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

Information retrieval: a view from the Chinese IR community.
Frontiers Comput. Sci., 2021

Achieving Human Parity on Visual Question Answering.
CoRR, 2021

Grid-VLP: Revisiting Grid Features for Vision-Language Pre-training.
CoRR, 2021

SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels.
CoRR, 2021

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

Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks.
Proceedings of the WSDM '21, 2021

AliMe DA: A Data Augmentation Framework for Question Answering in Cold-start Scenarios.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Conversational vs Traditional: Comparing Search Behavior and Outcome in Legal Case Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Path-based Deep Network for Candidate Item Matching in Recommenders.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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

HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 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

E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

StructuralLM: Structural Pre-training for Form Understanding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Unified Pretraining Framework for Passage Ranking and Expansion.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
An Attention-based Deep Relevance Model for Few-shot Document Filtering.
ACM Trans. Inf. Syst., 2020

Defect Detection of Pantograph Slide Based on Deep Learning and Image Processing Technology.
IEEE Trans. Intell. Transp. Syst., 2020

Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey.
ACM Trans. Intell. Syst. Technol., 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 overview of microblog user geolocation methods.
Inf. Process. Manag., 2020

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

NEXT: a neural network framework for next POI recommendation.
Frontiers Comput. Sci., 2020

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

On Offline Evaluation of Recommender Systems.
CoRR, 2020

PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation.
CoRR, 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

CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Re-visit of the Popularity Baseline in Recommender Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery 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

PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation.
Proceedings of the 2020 Conference on Empirical Methods in 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

Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 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

CASE: Context-Aware Semantic Expansion.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Searching activity trajectory with keywords.
World Wide Web, 2019

A Context-Aware User-Item Representation Learning for Item Recommendation.
ACM Trans. Inf. Syst., 2019

Seed-Guided Topic Model for Document Filtering and Classification.
ACM Trans. Inf. Syst., 2019

Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All.
IEEE Trans. Knowl. Data Eng., 2019

Multi-label dataless text classification with topic modeling.
Knowl. Inf. Syst., 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

Targeted Sentiment Analysis: A Data-Driven Categorization.
CoRR, 2019

DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets.
Proceedings of the World Wide Web Conference, 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

IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 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

Incorporating External Knowledge into Machine Reading for Generative Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 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

InstantCryptoGram: Secure Image Retrieval Service.
Proceedings of the 2018 IEEE Conference on Computer Communications, 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
Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings.
ACM Trans. Inf. Syst., 2017

Extracting fine-grained location with temporal awareness in tweets: A two-stage approach.
J. Assoc. Inf. Sci. Technol., 2017

A Context-Aware User-Item Representation Learning for Item Recommendation.
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

NeuPL: Attention-based Semantic Matching and Pair-Linking for Entity Disambiguation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

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

2016
Synchronous and Asynchronous Multisplitting Iteration Schemes for Solving Mixed Linear Complementarity Problems with H-Matrices.
J. Optim. Theory Appl., 2016

Topic Modeling for Short Texts with Auxiliary Word Embeddings.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Effective Document Labeling with Very Few Seed Words: A Topic Model Approach.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Tweet Segmentation and Its Application to Named Entity Recognition.
IEEE Trans. Knowl. Data Eng., 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

Fine-grained location extraction from tweets with temporal awareness.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

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

TSDW: Two-stage word sense disambiguation using Wikipedia.
J. Assoc. Inf. Sci. Technol., 2013

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

Exploiting hybrid contexts for Tweet segmentation.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

2012
Mining latent relations in peer-production environments: a case study with Wikipedia article similarity and controversy.
Soc. Netw. Anal. Min., 2012

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

TwiNER: named entity recognition in targeted twitter stream.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Twevent: segment-based event detection from tweets.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Semantic tag recommendation using concept model.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

A Generalized Method for Word Sense Disambiguation Based on Wikipedia.
Proceedings of the Advances in Information Retrieval, 2011


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