Chenliang Li

Orcid: 0000-0003-3144-6374

Affiliations:
  • Wuhan University, Wuhan, China


According to our database1, Chenliang Li authored at least 114 papers between 2011 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems.
ACM Trans. Inf. Syst., September, 2025

A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective.
IEEE Trans. Knowl. Data Eng., August, 2025

LFD: Layer Fused Decoding to Exploit External Knowledge in Retrieval-Augmented Generation.
CoRR, August, 2025

Uniform Graph Pre-training and Prompting for Transferable Recommendation.
ACM Trans. Inf. Syst., July, 2025

Generating Clarifying Questions for Conversational Legal Case Retrieval without External Knowledge.
ACM Trans. Inf. Syst., July, 2025

HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation.
ACM Trans. Inf. Syst., July, 2025

Multi-Interest Recommendation: A Survey.
CoRR, June, 2025

Structure-Aware Conversational Legal Case Retrieval.
ACM Trans. Inf. Syst., May, 2025


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

Efficient and explainable sequential recommendation with language model.
Inf. Process. Manag., 2025

Towards Accurate Social User Geolocation: Mean Shift, Incremental Learning and Graph Convolutional Networks.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Flow Matching Based Sequential Recommender Model.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Mitigating Language Confusion through Inference-time Intervention.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Weak-to-Strong Honesty Alignment via Learning-to-Rank Supervision.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Token-level Preference Self-Alignment Optimization for Multi-style Outline Controllable Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework.
ACM Trans. Inf. Syst., November, 2024

City Matters! A Dual-Target Cross-City Sequential POI Recommendation Model.
ACM Trans. Inf. Syst., November, 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

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

Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective.
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

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

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

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

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

Unconfounded Propensity Estimation for Unbiased Ranking.
CoRR, 2023

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

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

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

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

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

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

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

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

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

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

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

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

Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey.
ACM Trans. Intell. Syst. Technol., 2020

An overview of microblog user geolocation methods.
Inf. Process. Manag., 2020

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

On Offline Evaluation of Recommender Systems.
CoRR, 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

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

CASE: Context-Aware Semantic Expansion.
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

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

2018
InstantCryptoGram: Secure Image Retrieval Service.
Proceedings of the 2018 IEEE Conference on Computer Communications, 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

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

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

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

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


  Loading...