Lijie Wen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
85
Venues
31
Active years
2003–2026
Best venue rank
A*
Where they publish
- A*ACL13 papers
- A*EMNLP7 papers
- ABPM6 papers
- BDASFAA5 papers
- A*ICLR5 papers
- A*SIGIR5 papers
- BCOLING4 papers
- ANAACL4 papers
- CAPWEB4 papers
- A*AAAI3 papers
- ACIKM3 papers
- A*KDD2 papers
- AICSOC2 papers
- MulticonferenceICASSP2 papers
- ACaiSE2 papers
- ARE2 papers
- BEDOC2 papers
- A*CVPR1 paper
- BRCIS1 paper
- BICTAI1 paper
- CISPA1 paper
- ASDM1 paper
- BREFSQ1 paper
- BPAKDD1 paper
- A*ICDM1 paper
- AICWS1 paper
- MulticonferenceSAC1 paper
- CAPSCC1 paper
- CCIS1 paper
- BCOMPSAC1 paper
- CAPSEC1 paper
Papers
85 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination. | Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Chao Sun, Rongzhou Zhang, Guanyu Zhou, Lijie Wen |
| 2026 | ACL | d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models. | Leyi Pan, Shuchang Tao, Yunpeng Zhai, Zheyu Fu, Liancheng Fang, Minghua He, Lingzhe Zhang, Zhaoyang Liu, Bolin Ding, Aiwei Liu, Lijie Wen |
| 2025 | ACL | Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? | Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu |
| 2025 | COLING | ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary. | Yutong Li, Lu Chen, Aiwei Liu, Kai Yu, Lijie Wen |
| 2025 | COLING | MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation. | Bo Li, Shaolin Zhu, Lijie Wen |
| 2025 | CVPR | ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models. | Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Linfeng Zhang, Lijie Wen, Xuming Hu |
| 2025 | DASFAA | ROME: Memorization Insights from Text, Logits and Representation. | Bo Li, Qinghua Zhao, Lijie Wen |
| 2025 | EMNLP | Improving Preference Alignment of LLM with Inference-Free Self-Refinement. | Fukun Ma, Kaibin Tian, Jieting Xue, Xiaoyi Wang, Ye Ma, Quan Chen, Peng Jiang, Lijie Wen |
| 2025 | ICLR | TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. | Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao |
| 2025 | ICLR | Can Watermarked LLMs be Identified by Users via Crafted Prompts? | Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu |
| 2025 | KDD | Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models. | Xuan Wu, Di Wang, Chunguo Wu, Lijie Wen, Chunyan Miao, Yubin Xiao, You Zhou |
| 2025 | NAACL | Lost in Overlap: Exploring Logit-based Watermark Collision in LLMs. | Yiyang Luo, Ke Lin, Chao Gu, Jiahui Hou, Lijie Wen, Luo Ping |
| 2025 | NAACL | WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents. | Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu |
| 2025 | RCIS | Quantifying the Magnitude of Violation: Predictive Compliance Monitoring Approaches. | Qian Chen, Stefanie Rinderle-Ma, Lijie Wen |
| 2024 | ACL | LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments. | Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen |
| 2024 | ACL | Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions. | Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo |
| 2024 | ACL | Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation. | Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen |
| 2024 | ACL | On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations. | Shiao Meng, Xuming Hu, Aiwei Liu, Fukun Ma, Yawen Yang, Shuang Li, Lijie Wen |
| 2024 | EMNLP | MarkLLM: An Open-Source Toolkit for LLM Watermarking. | Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu |
| 2024 | ICLR | Towards Understanding Factual Knowledge of Large Language Models. | Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo |
| 2024 | ICLR | An Unforgeable Publicly Verifiable Watermark for Large Language Models. | Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu |
| 2024 | ICLR | A Semantic Invariant Robust Watermark for Large Language Models. | Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen |
| 2024 | ICSOC | LLM-Based Business Process Documentation Generation. | Rui Zhu, Quanzhou Hu, Lijie Wen, Leilei Lin, Honghao Xiao, Chaogang Wang |
| 2023 | ACL | Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks. | Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu |
| 2023 | ACL | Automatic Table Union Search with Tabular Representation Learning. | Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu |
| 2023 | ACL | Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer. | Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen |
| 2023 | ACL | Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing. | Aiwei Liu, Wei Liu, Xuming Hu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen |
| 2023 | ACL | AMR-based Network for Aspect-based Sentiment Analysis. | Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu, Lijie Wen |
| 2023 | DASFAA | Process Drift Detection in Event Logs with Graph Convolutional Networks. | Leilei Lin, Yumeng Jin, Lijie Wen, Wenlong Chen, Ying Di, Yusong Xu, Jianmin Wang |
| 2023 | EMNLP | RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction. | Shiao Meng, Xuming Hu, Aiwei Liu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen |
| 2023 | ICASSP | Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. | Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen, Philip S. Yu |
| 2023 | SIGIR | SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. | Xuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu |
| 2023 | SIGIR | MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. | Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu |
| 2023 | SIGIR | Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. | Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu |
| 2022 | COLING | Scene Graph Modification as Incremental Structure Expanding. | Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu |
| 2022 | EMNLP | Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. | Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen |
| 2022 | ICASSP | Pair-Level Supervised Contrastive Learning for Natural Language Inference. | Shuang Li, Xuming Hu, Li Lin, Lijie Wen |
| 2022 | KDD | Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. | Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen |
| 2022 | NAACL | CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. | Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu |
| 2022 | NAACL | HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. | Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu'ang Li, Lijie Wen, Philip S. Yu |
| 2022 | SIGIR | What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. | Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang |
| 2021 | AAAI | Conceptualized and Contextualized Gaussian Embedding. | Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua |
| 2021 | ACL | Counterfactual Inference for Text Classification Debiasing. | Chen Qian, Fuli Feng, Lijie Wen, Chunping Ma, Pengjun Xie |
| 2021 | ACL | Learning Algebraic Recombination for Compositional Generalization. | Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang |
| 2021 | DASFAA | MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses. | Li Lin, Zan Zong, Lijie Wen, Chen Qian, Shuang Li, Jianmin Wang |
| 2021 | EMNLP | Semi-supervised Relation Extraction via Incremental Meta Self-Training. | Xuming Hu, Chenwei Zhang, Fukun Ma, Chenyao Liu, Lijie Wen, Philip S. Yu |
| 2021 | EMNLP | Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. | Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu |
| 2020 | AAAI | Solving Sequential Text Classification as Board-Game Playing. | Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua |
| 2020 | CaiSE | An Approach for Process Model Extraction by Multi-grained Text Classification. | Chen Qian, Lijie Wen, Akhil Kumar, Leilei Lin, Li Lin, Zan Zong, Shu'ang Li, Jianmin Wang |
| 2020 | COLING | A Graph Representation of Semi-structured Data for Web Question Answering. | Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang |
| 2020 | DASFAA | How to Generate Reasonable Texts with Controlled Attributes. | Yanan Zheng, Yan Wang, Lijie Wen, Jianmin Wang |
| 2020 | EMNLP | SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. | Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu |
| 2020 | ICTAI | GAHNE: Graph-Aggregated Heterogeneous Network Embedding. | Xiaohe Li, Lijie Wen, Chen Qian, Jianmin Wang |
| 2020 | ISPA | Scaleplus: Towards Fast Scaling of Distributed Streaming Dataflows. | Zan Zong, Lijie Wen, Xiao Liu, Li Lin, Chen Qian, Leilei Lin |
| 2020 | SIGIR | Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms. | Chen Qian, Fuli Feng, Lijie Wen, Li Lin, Tat-Seng Chua |
| 2019 | CIKM | BePT: A Behavior-based Process Translator for Interpreting and Understanding Process Models. | Chen Qian, Lijie Wen, Akhil Kumar |
| 2019 | CIKM | A Latent-Constrained Variational Neural Dialogue Model for Information-Rich Responses. | Yanan Zheng, Yan Wang, Lijie Wen, Jianmin Wang |
| 2019 | RE | Analysis of Requirements-Related Arguments in User Forums. | Javed Ali Khan, Yuchen Xie, Lin Liu, Lijie Wen |
| 2019 | SDM | MM-Pred: A Deep Predictive Model for Multi-attribute Event Sequence. | Li Lin, Lijie Wen, Jianmin Wang |
| 2019 | REFSQ | Crowd Intelligence in Requirements Engineering: Current Status and Future Directions. | Javed Ali Khan, Lin Liu, Lijie Wen, Raian Ali |
| 2018 | ICSOC | RLRecommender: A Representation-Learning-Based Recommendation Method for Business Process Modeling. | Huaqing Wang, Lijie Wen, Li Lin, Jianmin Wang |
| 2018 | RE | Linguistic Analysis of Crowd Requirements: An Experimental Study. | Javed Ali Khan, Lin Liu, Yidi Jia, Lijie Wen |
| 2017 | CaiSE | Structural Descriptions of Process Models Based on Goal-Oriented Unfolding. | Chen Qian, Lijie Wen, Jianmin Wang, Akhil Kumar, Haoran Li |
| 2017 | CIKM | Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory. | Yanan Zheng, Lijie Wen, Jianmin Wang, Jun Yan, Lei Ji |
| 2017 | EDOC | From Data-centric Business Processes to Enterprise Process Frameworks. | Jianwen Su, Lijie Wen, Jian Yang |
| 2015 | BPM | Mining Invisible Tasks in Non-free-choice Constructs. | Qinlong Guo, Lijie Wen, Jianmin Wang, Zhiqiang Yan, Philip S. Yu |
| 2014 | BPM | Managing Massive Business Process Models and Instances with Process Space. | Shuhao Wang, Cheng Lv, Lijie Wen, Jianmin Wang |
| 2013 | BPM | Process Model Fragmentization, Clustering and Merging: An Empirical Study. | Xiang Gao, Yurong Chen, Zizhe Ding, Meng Wang, Xiaonan Zhang, Zhiqiang Yan, Lijie Wen, Qinlong Guo, Ran Chen |
| 2013 | PAKDD | An Approach to Identifying False Traces in Process Event Logs. | Hedong Yang, Lijie Wen, Jianmin Wang |
| 2012 | APWEB | Efficient Retrieval of Similar Workflow Models Based on Behavior. | Tao Jin, Jianmin Wang, Lijie Wen |
| 2012 | ICDM | An Approach to Evaluate the Local Completeness of an Event Log. | Hedong Yang, Lijie Wen, Jianmin Wang |
| 2012 | ICWS | On Recommendation of Process Mining Algorithms. | Jianmin Wang, Raymond K. Wong, Jianwei Ding, Qinlong Guo, Lijie Wen |
| 2012 | SAC | An empirical evaluation of process mining algorithms based on structural and behavioral similarities. | Jianmin Wang, Shijie Tan, Lijie Wen, Raymond K. Wong, Qinlong Guo |
| 2011 | BPM | Process Mining Manifesto. | Wil M. P. van der Aalst, Arya Adriansyah, Ana Karla Alves de Medeiros, Franco Arcieri, Thomas Baier, Tobias Blickle, R. P. Jagadeesh Chandra Bose, Peter van den Brand, Ronald Brandtjen, Joos C. A. M. Buijs, Andrea Burattin, Josep Carmona, Mal Castellanos, Jan Claes, Jonathan E. Cook, Nicola Costantini, Francisco Curbera, Ernesto Damiani, Massimiliano de Leoni, Pavlos Delias, Boudewijn F. van Dongen, Marlon Dumas, Schahram Dustdar, Dirk Fahland, Diogo R. Ferreira, Walid Gaaloul, Frank van Geffen, Sukriti Goel, Christian W. Gnther, Antonella Guzzo, Paul Harmon, Arthur H. M. ter Hofstede, John Hoogland, Jon Espen Ingvaldsen, Koki Kato, Rudolf Kuhn, Akhil Kumar, Marcello La Rosa, Fabrizio Maria Maggi, Donato Malerba, R. S. Mans, Alberto Manuel, Martin McCreesh, Paola Mello, Jan Mendling, Marco Montali, Hamid R. Motahari Nezhad, Michael zur Muehlen, Jorge Munoz-Gama, Luigi Pontieri, Joel Ribeiro, Anne Rozinat, Hugo Seguel Prez, Ricardo Seguel Prez, Marcos Seplveda, Jim Sinur, Pnina Soffer, Minseok Song, Alessandro Sperduti, Giovanni Stilo, Casper Stoel, Keith D. Swenson, Maurizio Talamo, Wei Tan, Chris Turner, Jan Vanthienen, George Varvaressos, Eric Verbeek, Marc Verdonk, Roberto Vigo, Jianmin Wang, Barbara Weber, Matthias Weidlich, Ton Weijters, Lijie Wen, Michael Westergaard, Moe Thandar Wynn |
| 2011 | BPM | Efficiently Querying Business Process Models with BeehiveZ. | Tao Jin, Jianmin Wang, Lijie Wen |
| 2011 | DASFAA | Querying Business Process Models Based on Semantics. | Tao Jin, Jianmin Wang, Lijie Wen |
| 2011 | EDOC | Querying Process Models Based on the Temporal Relations between Tasks. | Liang Song, Jianmin Wang, Lijie Wen, Wenxing Wang, Shijie Tan, Hui Kong |
| 2010 | APWEB | Dynamically Analyzing Time Constraints in Workflow Systems with Fixed-Date Constraint. | Rui Han, Yingbo Liu, Lijie Wen, Jianmin Wang |
| 2009 | APSCC | A label-free similarity measure between workflow nets. | Haiping Zha, Jianmin Wang, Lijie Wen, Chaokun Wang |
| 2008 | APWEB | An Efficient Approach for Supporting Dynamic Evolutionary Change of Adaptive Workflow. | Daoye Zhang, Dahai Cao, Lijie Wen, Jianmin Wang |
| 2008 | CIS | The Operations and Properties of Reproducibility of the Empty Marking. | JianHong Ye, ShiXin Sun, Wen Song, Lijie Wen |
| 2007 | BPM | Transforming XPDL to Petri Nets. | Haiping Zha, Yun Yang, Jianmin Wang, Lijie Wen |
| 2007 | COMPSAC | An InnovativeWorkflow Product Structure. | Haiping Zha, Lijie Wen, Jianmin Wang |
| 2006 | APWEB | Detecting Implicit Dependencies Between Tasks from Event Logs. | Lijie Wen, Jianmin Wang, Jia-Guang Sun |
| 2003 | APSEC | DRC: A Dependence Relationships Based Cohesion Measure for Classes. | Yuming Zhou, Lijie Wen, Jianmin Wang, Yujian Chen, Hongmin Lu, Baowen Xu |