Chen Lin

Orcid: 0000-0002-2275-997X

Affiliations:
  • Xiamen University, School of Informatics, China
  • Xiamen University, School of Information Science and Technology, China
  • Fudan University, Shanghai, China (PhD 2010)


According to our database1, Chen Lin authored at least 98 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Breaking It Down: An In-depth Study of Index Advisors.
Proc. VLDB Endow., June, 2024

Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors.
Proc. VLDB Endow., March, 2024

Robustness of Updatable Learning-based Index Advisors against Poisoning Attack.
Proc. ACM Manag. Data, February, 2024

Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Unbiased news recommendation model combining time and content.
Expert Syst. Appl., 2024

Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation.
CoRR, 2024

Rho-1: Not All Tokens Are What You Need.
CoRR, 2024

Who To Align With: Feedback-Oriented Multi-Modal Alignment in Recommendation Systems.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Compound-Protein Interaction Prediction with Sparse Perturbation-Aware Attention.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

TRAP: Tailored Robustness Assessment for Index Advisors via Adversarial Perturbation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Competition-Level Problems are Effective LLM Evaluators.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Optimization of drug-target affinity prediction methods through feature processing schemes.
Bioinform., November, 2023

D$^{2}$PSG: Multi-Party Dialogue Discourse Parsing as Sequence Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

GENET: Unleashing the Power of Side Information for Recommendation via Hypergraph Pre-training.
CoRR, 2023

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph.
CoRR, 2023

Resolving Power Equipment Data Inconsistency via Heterogeneous Network Alignment.
IEEE Access, 2023

PROD: Progressive Distillation for Dense Retrieval.
Proceedings of the ACM Web Conference 2023, 2023

E-commerce Search via Content Collaborative Graph Neural Network.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise.
Proceedings of the International Conference on Machine Learning, 2023

A Blockchain-Based Network Alignment System for Power Equipment Data Inconsistency.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Demonstration of ViTA: Visualizing, Testing and Analyzing Index Advisors.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

TCCM: Time and Content-Aware Causal Model for Unbiased News Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Code-Aware Cross-Program Transfer Hyperparameter Optimization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Novel Group Recommendation Model With Two-Stage Deep Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2022

SPEX: A Generic Framework for Enhancing Neural Social Recommendation.
ACM Trans. Inf. Syst., 2022

Spiral of Silence and Its Application in Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022

CRBPDL: Identification of circRNA-RBP interaction sites using an ensemble neural network approach.
PLoS Comput. Biol., 2022

A two-stage embedding model for recommendation with multimodal auxiliary information.
Inf. Sci., 2022

GENIE: Large Scale Pre-training for Text Generation with Diffusion Model.
CoRR, 2022

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning.
CoRR, 2022

Visual Encoding and Debiasing for CTR Prediction.
CoRR, 2022

A comparison of deep learning-based pre-processing and clustering approaches for single-cell RNA sequencing data.
Briefings Bioinform., 2022

Characterizing viral circRNAs and their application in identifying circRNAs in viruses.
Briefings Bioinform., 2022

Making accurate object detection at the edge: review and new approach.
Artif. Intell. Rev., 2022

Neutralizing Popularity Bias in Recommendation Models.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Multi-view Heterogeneous Temporal Graph Neural Network for "Click Farming" Detection.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Pretraining Representations of Multi-modal Multi-query E-commerce Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Adaptive Code Learning for Spark Configuration Tuning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

Visual Encoding and Debiasing for CTR Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Preserve Integrity in Realtime Event Summarization.
ACM Trans. Knowl. Discov. Data, 2021

Multi-features guided robust visual tracking.
Multim. Tools Appl., 2021

DeepAc4C: a convolutional neural network model with hybrid features composed of physicochemical patterns and distributed representation information for identification of N4-acetylcytidine in mRNA.
Bioinform., 2021

Critical downstream analysis steps for single-cell RNA sequencing data.
Briefings Bioinform., 2021

News Popularity Prediction with Local-Global Long-Short-Term Embedding.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels.
Proceedings of the 17th International Symposium on Spatial and Temporal Databases, 2021

Mitigating Sentiment Bias for Recommender Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

SILVER: Generating Persuasive Chinese Product Pitch.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

2020
Drug target interaction prediction via multi-task co-attention.
Int. J. Data Min. Bioinform., 2020

Mono2Micro: an AI-based toolchain for evolving monolithic enterprise applications to a microservice architecture.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

DEAMER: A Deep Exposure-Aware Multimodal Content-Based Recommendation System.
Proceedings of the Database Systems for Advanced Applications, 2020

Attacking Recommender Systems with Augmented User Profiles.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Robust visual tracking via identifying multi-scale patches.
Multim. Tools Appl., 2019

FLEN: Leveraging Field for Scalable CTR Prediction.
CoRR, 2019

An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies.
BMC Bioinform., 2019

Spiral of Silence in Recommender Systems.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Modeling Sentiment Evolution for Social Incidents.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Drug Target Interaction Prediction using Multi-task Learning and Co-attention.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Non-Compensatory Psychological Models for Recommender Systems.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Structural Hole Spanner in HumanNet Identifies Disease Gene and Drug targets.
IEEE Access, 2018

Recommendation With Social Roles.
IEEE Access, 2018

Live Face Verification with Multiple Instantialized Local Homographic Parameterization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

NL2API: A Framework for Bootstrapping Service Recommendation Using Natural Language Queries.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

Realtime Event Summarization from Tweets with Inconsistency Detection.
Proceedings of the Conceptual Modeling - 37th International Conference, 2018

Secure Top-k Inner Product Retrieval.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Drug Target Interaction Prediction with Non-random Missing Labels.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A Formal Product Search Model with Ensembled Proximity.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

2015
Dirichlet Process Mixture Model for Summarizing the Social Web.
Proceedings of the Social Media Processing - 4th National Conference, 2015

COSS: Content-Based Subscription as an IoT Service.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

2014
CLEar: A Real-time Online Observatory for Bursty and Viral Events.
Proc. VLDB Endow., 2014

Personalized news recommendation via implicit social experts.
Inf. Sci., 2014

LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy.
Neurocomputing, 2014

Large-Scale Similarity Join with Edit-Distance Constraints.
Proceedings of the Database Systems for Advanced Applications, 2014

2013
Hybrid pseudo-relevance feedback for microblog retrieval.
J. Inf. Sci., 2013

Harmonic Detection of Power System Based on SVD and EMD.
Proceedings of the Ninth International Conference on Computational Intelligence and Security, 2013

2012
Identify content quality in online social networks.
IET Commun., 2012

Manifold Analysis of Spectral Munsell Colors.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

PRemiSE: personalized news recommendation via implicit social experts.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Generating event storylines from microblogs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Performance Optimization of Analysis Rules in Real-Time Active Data Warehouses.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

2011
Maintaining Internal Consistency of Report for Real-Time OLAP with Layer-Based View.
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011

2009
Modeling semantics and structure of discussion threads.
Proceedings of the 18th International Conference on World Wide Web, 2009

An Adaptive Genetic Algorithm Based on Population Diversity Strategy.
Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing, 2009

Simultaneously modeling semantics and structure of threaded discussions: a sparse coding approach and its applications.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

2008
REC: A Novel Model to Rank Experts in Communities.
Proceedings of the Ninth International Conference on Web-Age Information Management, 2008

2006
Using Profile Matching and Text Categorization for Answer Extraction in TREC Genomics.
Proceedings of the Fifteenth Text REtrieval Conference, 2006

Judging Expertise--WIM at Enterprise.
Proceedings of the Fifteenth Text REtrieval Conference, 2006

2005
WIM at TREC 2005.
Proceedings of the Fourteenth Text REtrieval Conference, 2005


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