Lijie Wen

Orcid: 0000-0003-0358-3160

Affiliations:
  • Tsinghua University, School of Software, Beijing, China
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China (PhD 2007)


According to our database1, Lijie Wen authored at least 155 papers between 2003 and 2025.

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Bibliography

2025
Alignable kernel network.
Inf. Fusion, 2025

What goes wrong during phishing education? A probe into a game-based assessment with unfavorable results.
Entertain. Comput., 2025

2024
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions.
IEEE Trans. Knowl. Data Eng., May, 2024

Discovering Hierarchical Multi-Instance Business Processes From Event Logs.
IEEE Trans. Serv. Comput., 2024

Photogrammetry for Unconstrained Optical Satellite Imagery With Combined Neural Radiance Fields.
IEEE Geosci. Remote. Sens. Lett., 2024

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights.
CoRR, 2024

Can Watermarked LLMs be Identified by Users via Crafted Prompts?
CoRR, 2024

Interpretable Contrastive Monte Carlo Tree Search Reasoning.
CoRR, 2024

WaterSeeker: Efficient Detection of Watermarked Segments in Large Documents.
CoRR, 2024

Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives.
CoRR, 2024

MarkLLM: An Open-Source Toolkit for LLM Watermarking.
CoRR, 2024

FSMR: A Feature Swapping Multi-modal Reasoning Approach with Joint Textual and Visual Clues.
CoRR, 2024

Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions.
CoRR, 2024

ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary.
CoRR, 2024

ROME: Memorization Insights from Text, Probability and Hidden State in Large Language Models.
CoRR, 2024

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation.
CoRR, 2024

MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain.
CoRR, 2024

A Semantic Invariant Robust Watermark for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

An Unforgeable Publicly Verifiable Watermark for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Understanding Factual Knowledge of Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training.
IEEE Trans. Parallel Distributed Syst., August, 2023

Formal Modeling and Discovery of Hierarchical Business Processes: A Petri Net-Based Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2023

A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

A Survey of Text Watermarking in the Era of Large Language Models.
CoRR, 2023

Do Large Language Models Know about Facts?
CoRR, 2023

A Private Watermark for Large Language Models.
CoRR, 2023

Give Me More Details: Improving Fact-Checking with Latent Retrieval.
CoRR, 2023

A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability.
CoRR, 2023

Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

ECOD: A Multi-modal Dataset for Intelligent Adjudication of E-Commerce Order Disputes.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Process Drift Detection in Event Logs with Graph Convolutional Networks.
Proceedings of the Database Systems for Advanced Applications, 2023

AMR-based Network for Aspect-based Sentiment Analysis.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Automatic Table Union Search with Tabular Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs.
IEEE Trans. Serv. Comput., 2022

Efficient Transition Adjacency Relation Computation for Process Model Similarity.
IEEE Trans. Serv. Comput., 2022

Measuring Business Process Behavioral Similarity Based on Token Log Profile.
IEEE Trans. Serv. Comput., 2022

LCDD: Detecting Business Process Drifts Based on Local Completeness.
IEEE Trans. Serv. Comput., 2022

Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction.
CoRR, 2022

EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks.
CoRR, 2022

Towards the Future: Bring Program Correctness back to the focus.
CoRR, 2022

Graph Neural Network with Curriculum Learning for Imbalanced Node Classification.
CoRR, 2022

Inferring Commonsense Explanations as Prompts for Future Event Generation.
CoRR, 2022

What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Swap Dominated Tensor Re-Generation Strategy for Training Deep Learning Models.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Pair-Level Supervised Contrastive Learning for Natural Language Inference.
Proceedings of the IEEE International Conference on Acoustics, 2022

Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Scene Graph Modification as Incremental Structure Expanding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Estimating Global Completeness of Event Logs: A Comparative Study.
IEEE Trans. Serv. Comput., 2021

Can Neural Clone Detection Generalize to Unseen Functionalitiesƒ.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Semi-supervised Relation Extraction via Incremental Meta Self-Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses.
Proceedings of the Database Systems for Advanced Applications, 2021

Learning Algebraic Recombination for Compositional Generalization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Counterfactual Inference for Text Classification Debiasing.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Conceptualized and Contextualized Gaussian Embedding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Conceptualising, extracting and analysing requirements arguments in users' forums: The CrowdRE-Arg framework.
J. Softw. Evol. Process., 2020

Requirements knowledge acquisition from online user forums.
IET Softw., 2020

A novel completeness definition of event logs and corresponding generation algorithm.
Expert Syst. J. Knowl. Eng., 2020

On Using Grey Literature and Google Scholar in Systematic Literature Reviews in Software Engineering.
IEEE Access, 2020

Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Scaleplus: Towards Fast Scaling of Distributed Streaming Dataflows.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

GAHNE: Graph-Aggregated Heterogeneous Network Embedding.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

How to Generate Reasonable Texts with Controlled Attributes.
Proceedings of the Database Systems for Advanced Applications, 2020

A Graph Representation of Semi-structured Data for Web Question Answering.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

An Approach for Process Model Extraction by Multi-grained Text Classification.
Proceedings of the Advanced Information Systems Engineering, 2020

Solving Sequential Text Classification as Board-Game Playing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Decomposed and parallel process discovery: A framework and application.
Future Gener. Comput. Syst., 2019

Process Extraction from Texts via Multi-Task Architecture.
CoRR, 2019

TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking.
CoRR, 2019

BePT: A Process Translator for Sharing Process Models.
CoRR, 2019

MM-Pred: A Deep Predictive Model for Multi-attribute Event Sequence.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Crowd Intelligence in Requirements Engineering: Current Status and Future Directions.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2019

Analysis of Requirements-Related Arguments in User Forums.
Proceedings of the 27th IEEE International Requirements Engineering Conference, 2019

A Latent-Constrained Variational Neural Dialogue Model for Information-Rich Responses.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

BePT: A Behavior-based Process Translator for Interpreting and Understanding Process Models.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Linguistic Analysis of Crowd Requirements: An Experimental Study.
Proceedings of the 7th IEEE International Workshop on Empirical Requirements Engineering, 2018

RLRecommender: A Representation-Learning-Based Recommendation Method for Business Process Modeling.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2017
Detecting Process Concept Drifts from Event Logs.
Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 2017

From Data-centric Business Processes to Enterprise Process Frameworks.
Proceedings of the 21st IEEE International Enterprise Distributed Object Computing Conference, 2017

Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Structural Descriptions of Process Models Based on Goal-Oriented Unfolding.
Proceedings of the Advanced Information Systems Engineering, 2017

2016
Refactor Business Process Models with Maximized Parallelism.
IEEE Trans. Serv. Comput., 2016

ExRORU: A New Approach to Characterize the Behavioral Semantics of Process Models (Short Paper).
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 2016

Transition Adjacency Relation Computation Based on Unfolding: Potentials and Challenges.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 2016

2015
Computation of Transition Adjacency Relations Based on Complete Prefix Unfolding (Technical Report).
CoRR, 2015

Discovering BPMN Models with Sub-processes and Multi-instance Markers.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2015 Conferences, 2015

Mining Invisible Tasks in Non-free-choice Constructs.
Proceedings of the Business Process Management - 13th International Conference, 2015

2014
Querying business process model repositories - A survey of current approaches and issues.
World Wide Web, 2014

Computing Refined Ordering Relations with Uncertainty for Acyclic Process Models.
IEEE Trans. Serv. Comput., 2014

CPL+: An improved approach for evaluating the local completeness of event logs.
Inf. Process. Lett., 2014

Efficient Behavioral-Difference Detection between Business Process Models.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014

TAGER: Transition-Labeled Graph Edit Distance Similarity Measure on Process Models.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014

CFS: A Behavioral Similarity Algorithm for Process Models Based on Complete Firing Sequences.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014

Managing Massive Business Process Models and Instances with Process Space.
Proceedings of the BPM Demo Sessions 2014 Co-located with the 12th International Conference on Business Process Management (BPM 2014), 2014

Efficient Syntactic Process Difference Detection Using Flexible Feature Matching.
Proceedings of the Asia Pacific Business Process Management, 2014

A Universal Significant Reference Model Set for Process Mining Evaluation Framework.
Proceedings of the Asia Pacific Business Process Management, 2014

2013
Efficient Selection of Process Mining Algorithms.
IEEE Trans. Serv. Comput., 2013

Efficient Semantics-Based Compliance Checking Using LTL Formulae and Unfolding.
J. Appl. Math., 2013

Efficient querying of large process model repositories.
Comput. Ind., 2013

An Approach to Identifying False Traces in Process Event Logs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Process Model Fragmentization, Clustering and Merging: An Empirical Study.
Proceedings of the Business Process Management Workshops, 2013

Process Model Storage Solutions: Proposition and Evaluation.
Proceedings of the Asia Pacific Business Process Management, 2013

2012
Verification of workflow nets with transition conditions.
J. Zhejiang Univ. Sci. C, 2012

An empirical evaluation of process mining algorithms based on structural and behavioral similarities.
Proceedings of the ACM Symposium on Applied Computing, 2012

An Approach to Recommend Resources for Business Processes.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2012 Workshops, 2012

On Recommendation of Process Mining Algorithms.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

Detecting Infeasible Traces in Process Models.
Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 3, Wroclaw, Poland, 28 June, 2012

An Approach to Evaluate the Local Completeness of an Event Log.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Efficient Retrieval of Similar Workflow Models Based on Behavior.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

2011
Verifying workflow processes: a transformation-based approach.
Softw. Syst. Model., 2011

Efficient Retrieval of Similar Business Process Models Based on Structure - (Short Paper).
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2011, 2011

Formally Modeling and Analyzing Data-centric Workflow using WFCP-net and ASK-CTL.
Proceedings of the ICEIS 2011, 2011

Querying Process Models Based on the Temporal Relations between Tasks.
Proceedings of the Workshops Proceedings of the 15th IEEE International Enterprise Distributed Object Computing Conference, 2011

Querying Business Process Models Based on Semantics.
Proceedings of the Database Systems for Advanced Applications, 2011

Efficiently Querying Business Process Models with BeehiveZ.
Proceedings of the Demo Track of the Nineth Conference on Business Process Management 2011, 2011


2010
Mining process models with prime invisible tasks.
Data Knowl. Eng., 2010

A workflow net similarity measure based on transition adjacency relations.
Comput. Ind., 2010

A Behavioral Similarity Measure between Labeled Petri Nets Based on Principal Transition Sequences - (Short Paper).
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2010, 2010

Dynamically Analyzing Time Constraints in Workflow Systems with Fixed-Date Constraint.
Proceedings of the Advances in Web Technologies and Applications, 2010

2009
Process Mining: Overview and Outlook of Petri Net Discovery Algorithms.
Trans. Petri Nets Other Model. Concurr., 2009

A novel approach for process mining based on event types.
J. Intell. Inf. Syst., 2009

A Two-Stage Probabilistic Approach to Manage Personal Worklist in Workflow Management Systems.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2009, 2009

Deriving Canonical Business Object Operation Nets from Process Models.
Proceedings of the ICEIS 2009, 2009

Extracting Real-Life Log with Data Perspective in PLM System for Business Process Analysis.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

Probability Timing Constraint WF-Nets and Their Application to Timing Schedulability Analysis of Workflow Management Systems.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

A label-free similarity measure between workflow nets.
Proceedings of the 4th IEEE Asia-Pacific Services Computing Conference, 2009

2008
Transformation of BPMN to YAWL.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

The Operations and Properties of Reproducibility of the Empty Marking.
Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008

An Efficient Approach for Supporting Dynamic Evolutionary Change of Adaptive Workflow.
Proceedings of the Progress in WWW Research and Development, 2008

2007
Mining process models with non-free-choice constructs.
Data Min. Knowl. Discov., 2007

Mining Invisible Tasks from Event Logs.
Proceedings of the Advances in Data and Web Management, 2007

Organizational Modeling from Event logs.
Proceedings of the Grid and Cooperative Computing, 2007

An InnovativeWorkflow Product Structure.
Proceedings of the 31st Annual International Computer Software and Applications Conference, 2007

Transforming XPDL to Petri Nets.
Proceedings of the Business Process Management Workshops, 2007

A Novel Approach for Process Mining Based on Event Types.
Proceedings of the 2007 IEEE International Conference on Services Computing (SCC 2007), 2007

2006
Detecting Implicit Dependencies Between Tasks from Event Logs.
Proceedings of the Frontiers of WWW Research and Development, 2006

2005
DMC: a more precise cohesion measure for classes.
Inf. Softw. Technol., 2005

2003
DRC: A Dependence Relationships Based Cohesion Measure for Classes.
Proceedings of the 10th Asia-Pacific Software Engineering Conference (APSEC 2003), 2003


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