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ORCIDLijie Wen 0001
Li-jie Wen 0001
Person information
- affiliation: Tsinghua University, School of Software, Beijing, China
- affiliation (PhD 2007): Tsinghua University, Department of Computer Science and Technology, Beijing, China
Other persons with the same name
- Lijie Wen 0002
![[0000-0002-7016-919X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7016-919X")
— Second Affiliated Hospital of Dalian Medical University, Dalian, China
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2020 – today
- 2025
[j34]Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip S. Yu:
A Survey of Text Watermarking in the Era of Large Language Models. ACM Comput. Surv. 57(2): 47:1-47:36 (2025)- [j33]Affan Yasin, Rubia Fatima, Lijie Wen, Jiangbin Zheng, Mahmood Niazi:
What goes wrong during phishing education? A probe into a game-based assessment with unfavorable results. Entertain. Comput. 52: 100815 (2025) - [j32]Ying Xie, Jixiang Wang, Zhiqiang Xu, Junnan Shen, Lijie Wen, Rongbin Xu, Hang Xu, Yun Yang:
Alignable kernel network. Inf. Fusion 115: 102758 (2025) - 2024
- [j31]Xiaohe Li, Zide Fan, Xiaoxuan Liu, Yidan Zhang, Yunping Ge, Lijie Wen:
Photogrammetry for Unconstrained Optical Satellite Imagery With Combined Neural Radiance Fields. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j30]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Aiwei Liu, Shiao Meng, Lijie Wen, Irwin King, Philip S. Yu:
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. IEEE Trans. Knowl. Data Eng. 36(5): 2026-2040 (2024) - [j29]Cong Liu, Ying Wang, Lijie Wen, Jiujun Cheng, Long Cheng, Qingtian Zeng:
Discovering Hierarchical Multi-Instance Business Processes From Event Logs. IEEE Trans. Serv. Comput. 17(1): 142-155 (2024) - [c96]Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Xiaoming Wang, Jiulong Shan, Meng Cao, Lijie Wen:
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation. ACL (1) 2024: 9688-9712 - [c95]Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo:
Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions. ACL (Findings) 2024: 10650-10671 - [c94]Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen:
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments. ACL (1) 2024: 13055-13077 - [c93]Shiao Meng, Xuming Hu, Aiwei Liu, Fukun Ma, Yawen Yang, Shuang Li, Lijie Wen:
On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations. ACL (Findings) 2024: 16362-16374 - [c92]Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo:
Towards Understanding Factual Knowledge of Large Language Models. ICLR 2024 - [c91]Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu:
An Unforgeable Publicly Verifiable Watermark for Large Language Models. ICLR 2024 - [c90]Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen:
A Semantic Invariant Robust Watermark for Large Language Models. ICLR 2024 - [i48]Xiaohe Li, Feilong Huang, Zide Fan, Fangli Mou, Yingyan Hou, Chen Qian, Lijie Wen:
MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain. CoRR abs/2402.08221 (2024) - [i47]Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen:
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation. CoRR abs/2402.11907 (2024) - [i46]Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen:
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments. CoRR abs/2402.16499 (2024) - [i45]Bo Li, Qinghua Zhao, Lijie Wen:
ROME: Memorization Insights from Text, Probability and Hidden State in Large Language Models. CoRR abs/2403.00510 (2024) - [i44]Yutong Li, Lu Chen, Aiwei Liu, Kai Yu, Lijie Wen:
ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary. CoRR abs/2403.02574 (2024) - [i43]Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo:
Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions. CoRR abs/2403.12077 (2024) - [i42]Shuang Li, Jiahua Wang, Lijie Wen:
FSMR: A Feature Swapping Multi-modal Reasoning Approach with Joint Textual and Visual Clues. CoRR abs/2403.20026 (2024) - [i41]Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King:
MarkLLM: An Open-Source Toolkit for LLM Watermarking. CoRR abs/2405.10051 (2024) - [i40]Xuan Wu, Di Wang, Lijie Wen, Yubin Xiao, Chunguo Wu, Yuesong Wu, Chaoyu Yu, Douglas L. Maskell, You Zhou:
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives. CoRR abs/2406.00415 (2024) - [i39]Shiao Meng, Xuming Hu, Aiwei Liu, Fukun Ma, Yawen Yang, Shuang Li, Lijie Wen:
On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations. CoRR abs/2406.07444 (2024) - [i38]Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu:
WaterSeeker: Efficient Detection of Watermarked Segments in Large Documents. CoRR abs/2409.05112 (2024) - [i37]Zitian Gao, Boye Niu, Xuzheng He, Haotian Xu, Hongzhang Liu, Aiwei Liu, Xuming Hu, Lijie Wen:
Interpretable Contrastive Monte Carlo Tree Search Reasoning. CoRR abs/2410.01707 (2024) - [i36]Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu:
Can Watermarked LLMs be Identified by Users via Crafted Prompts? CoRR abs/2410.03168 (2024) - [i35]Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao:
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. CoRR abs/2410.04350 (2024) - 2023
- [j28]Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu:
A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1771-1783 (2023) - [j27]Zan Zong, Li Lin, Leilei Lin, Lijie Wen, Yu Sun:
STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training. IEEE Trans. Parallel Distributed Syst. 34(8): 2403-2418 (2023) - [j26]Cong Liu, Long Cheng, Qingtian Zeng, Lijie Wen:
Formal Modeling and Discovery of Hierarchical Business Processes: A Petri Net-Based Approach. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 1003-1014 (2023) - [c89]Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu, Lijie Wen:
AMR-based Network for Aspect-based Sentiment Analysis. ACL (1) 2023: 322-337 - [c88]Aiwei Liu, Wei Liu, Xuming Hu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen:
Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing. ACL (Findings) 2023: 688-700 - [c87]Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen:
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer. ACL (Findings) 2023: 1361-1374 - [c86]Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu:
Automatic Table Union Search with Tabular Representation Learning. ACL (Findings) 2023: 3786-3800 - [c85]Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu:
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks. ACL (Findings) 2023: 9072-9087 - [c84]Leilei Lin, Yumeng Jin, Lijie Wen, Wenlong Chen, Ying Di, Yusong Xu, Jianmin Wang:
Process Drift Detection in Event Logs with Graph Convolutional Networks. DASFAA (4) 2023: 380-396 - [c83]Shiao Meng, Xuming Hu, Aiwei Liu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen:
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction. EMNLP 2023: 5208-5226 - [c82]Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen, Philip S. Yu:
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. ICASSP 2023: 1-5 - [c81]Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen, Philip S. Yu:
Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. ACM Multimedia 2023: 5185-5194 - [c80]Liyi Chen, Shuaipeng Liu, Hailei Yan, Jie Liu, Lijie Wen, Guanglu Wan:
ECOD: A Multi-modal Dataset for Intelligent Adjudication of E-Commerce Order Disputes. NLPCC (1) 2023: 456-468 - [c79]Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu:
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. SIGIR 2023: 2319-2323 - [c78]Xuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu:
SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. SIGIR 2023: 2364-2368 - [c77]Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu:
MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. SIGIR 2023: 2901-2912 - [i34]Aiwei Liu, Xuming Hu, Lijie Wen, Philip S. Yu:
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability. CoRR abs/2303.13547 (2023) - [i33]Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu:
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. CoRR abs/2305.03507 (2023) - [i32]Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen, Philip S. Yu:
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. CoRR abs/2305.07266 (2023) - [i31]Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen:
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer. CoRR abs/2305.12761 (2023) - [i30]Xuming Hu, Zhijiang Guo, Guanyu Wu, Lijie Wen, Philip S. Yu:
Give Me More Details: Improving Fact-Checking with Latent Retrieval. CoRR abs/2305.16128 (2023) - [i29]Aiwei Liu, Wei Liu, Xuming Hu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen:
Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing. CoRR abs/2306.04480 (2023) - [i28]Aiwei Liu, Leyi Pan, Xuming Hu, Shu'ang Li, Lijie Wen, Irwin King, Philip S. Yu:
A Private Watermark for Large Language Models. CoRR abs/2307.16230 (2023) - [i27]Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo:
Do Large Language Models Know about Facts? CoRR abs/2310.05177 (2023) - [i26]Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen:
A Semantic Invariant Robust Watermark for Large Language Models. CoRR abs/2310.06356 (2023) - [i25]Shiao Meng, Xuming Hu, Aiwei Liu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen:
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction. CoRR abs/2310.15743 (2023) - [i24]Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen, Philip S. Yu:
Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. CoRR abs/2310.16822 (2023) - [i23]Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu:
A Survey of Text Watermarking in the Era of Large Language Models. CoRR abs/2312.07913 (2023) - 2022
- [j25]Jisheng Pei, Lijie Wen, Xiaojun Ye, Akhil Kumar:
Efficient Transition Adjacency Relation Computation for Process Model Similarity. IEEE Trans. Serv. Comput. 15(3): 1295-1308 (2022) - [j24]Leilei Lin, Lijie Wen, Li Lin, Jisheng Pei, Hedong Yang:
LCDD: Detecting Business Process Drifts Based on Local Completeness. IEEE Trans. Serv. Comput. 15(4): 2086-2099 (2022) - [j23]Zan Zong, Lijie Wen, Xuming Hu, Rui Han, Chen Qian, Li Lin:
MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs. IEEE Trans. Serv. Comput. 15(5): 2883-2896 (2022) - [j22]Feifei Niu, Chuanyi Li, Jidong Ge, Lijie Wen, Zhongjin Li, Bin Luo:
Measuring Business Process Behavioral Similarity Based on Token Log Profile. IEEE Trans. Serv. Comput. 15(6): 3344-3357 (2022) - [c76]Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu:
Scene Graph Modification as Incremental Structure Expanding. COLING 2022: 5707-5720 - [c75]Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen:
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. EMNLP 2022: 7664-7676 - [c74]Shuang Li, Xuming Hu, Li Lin, Lijie Wen:
Pair-Level Supervised Contrastive Learning for Natural Language Inference. ICASSP 2022: 8237-8241 - [c73]Lijie Wen, Zan Zong, Li Lin, Leilei Lin:
A Swap Dominated Tensor Re-Generation Strategy for Training Deep Learning Models. IPDPS 2022: 996-1006 - [c72]Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen:
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. KDD 2022: 1021-1030 - [c71]Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu:
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. NAACL-HLT 2022: 3362-3376 - [c70]Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu'ang Li, Lijie Wen, Philip S. Yu:
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. NAACL-HLT 2022: 5970-5980 - [c69]Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. SIGIR 2022: 1098-1109 - [i22]Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
Inferring Commonsense Explanations as Prompts for Future Event Generation. CoRR abs/2201.07099 (2022) - [i21]Shuang Li, Xuming Hu, Li Lin, Lijie Wen:
Pair-Level Supervised Contrastive Learning for Natural Language Inference. CoRR abs/2201.10927 (2022) - [i20]Xiaohe Li, Lijie Wen, Yawen Deng, Fuli Feng, Xuming Hu, Lei Wang, Zide Fan:
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification. CoRR abs/2202.02529 (2022) - [i19]Chongyi Yuan, Lijie Wen, Xiongliang Yan:
Towards the Future: Bring Program Correctness back to the focus. CoRR abs/2203.15653 (2022) - [i18]Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu'ang Li, Lijie Wen, Philip S. Yu:
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. CoRR abs/2205.02225 (2022) - [i17]Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu:
A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. CoRR abs/2205.15550 (2022) - [i16]Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu:
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. CoRR abs/2206.11863 (2022) - [i15]Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen:
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. CoRR abs/2208.03903 (2022) - [i14]Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu:
Scene Graph Modification as Incremental Structure Expanding. CoRR abs/2209.09093 (2022) - [i13]Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu:
EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks. CoRR abs/2210.10343 (2022) - [i12]Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen:
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. CoRR abs/2210.17004 (2022) - [i11]Xuming Hu, Shiao Meng, Chenwei Zhang, Xiangli Yang, Lijie Wen, Irwin King, Philip S. Yu:
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction. CoRR abs/2211.06014 (2022) - 2021
- [j21]Jisheng Pei, Lijie Wen, Hedong Yang, Jianmin Wang, Xiaojun Ye:
Estimating Global Completeness of Event Logs: A Comparative Study. IEEE Trans. Serv. Comput. 14(2): 441-457 (2021) - [c68]Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua:
Conceptualized and Contextualized Gaussian Embedding. AAAI 2021: 13683-13691 - [c67]Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang:
Learning Algebraic Recombination for Compositional Generalization. ACL/IJCNLP (Findings) 2021: 1129-1144 - [c66]Chen Qian, Fuli Feng, Lijie Wen, Chunping Ma, Pengjun Xie:
Counterfactual Inference for Text Classification Debiasing. ACL/IJCNLP (1) 2021: 5434-5445 - [c65]Li Lin, Zan Zong, Lijie Wen, Chen Qian, Shuang Li, Jianmin Wang:
MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses. DASFAA (1) 2021: 509-525 - [c64]Xuming Hu, Chenwei Zhang, Fukun Ma, Chenyao Liu, Lijie Wen, Philip S. Yu:
Semi-supervised Relation Extraction via Incremental Meta Self-Training. EMNLP (Findings) 2021: 487-496 - [c63]Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu:
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. EMNLP (1) 2021: 2737-2746 - [c62]Chenyao Liu, Zeqi Lin, Jian-Guang Lou, Lijie Wen, Dongmei Zhang:
Can Neural Clone Detection Generalize to Unseen Functionalitiesƒ. ASE 2021: 617-629 - [i10]Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang:
Learning Algebraic Recombination for Compositional Generalization. CoRR abs/2107.06516 (2021) - [i9]Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu:
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. CoRR abs/2109.06415 (2021) - 2020
- [j20]Affan Yasin, Rubia Fatima, Lijie Wen, Wasif Afzal, Muhammad Azhar, Richard Torkar:
On Using Grey Literature and Google Scholar in Systematic Literature Reviews in Software Engineering. IEEE Access 8: 36226-36243 (2020) - [j19]Chuanyi Li, Jidong Ge, Lijie Wen, Li Kong, Victor Chang, Liguo Huang, Bin Luo:
A novel completeness definition of event logs and corresponding generation algorithm. Expert Syst. J. Knowl. Eng. 37(4) (2020) - [j18]Javed Ali Khan, Lin Liu, Lijie Wen:
Requirements knowledge acquisition from online user forums. IET Softw. 14(3): 242-253 (2020) - [j17]Javed Ali Khan, Lin Liu, Lijie Wen, Raian Ali:
Conceptualising, extracting and analysing requirements arguments in users' forums: The CrowdRE-Arg framework. J. Softw. Evol. Process. 32(12) (2020) - [c61]Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua:
Solving Sequential Text Classification as Board-Game Playing. AAAI 2020: 8640-8648 - [c60]Chen Qian, Lijie Wen, Akhil Kumar, Leilei Lin, Li Lin, Zan Zong, Shu'ang Li, Jianmin Wang:
An Approach for Process Model Extraction by Multi-grained Text Classification. CAiSE 2020: 268-282 - [c59]Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang:
A Graph Representation of Semi-structured Data for Web Question Answering. COLING 2020: 51-61 - [c58]Yanan Zheng, Yan Wang, Lijie Wen, Jianmin Wang:
How to Generate Reasonable Texts with Controlled Attributes. DASFAA (2) 2020: 245-262 - [c57]Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu:
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. EMNLP (1) 2020: 3673-3682 - [c56]Xiaohe Li, Lijie Wen, Chen Qian, Jianmin Wang:
GAHNE: Graph-Aggregated Heterogeneous Network Embedding. ICTAI 2020: 1012-1019 - [c55]Zan Zong, Lijie Wen, Xiao Liu, Li Lin, Chen Qian, Leilei Lin:
Scaleplus: Towards Fast Scaling of Distributed Streaming Dataflows. ISPA/BDCloud/SocialCom/SustainCom 2020: 260-268 - [c54]Chen Qian, Fuli Feng, Lijie Wen, Li Lin, Tat-Seng Chua:
Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms. SIGIR 2020: 1201-1210 - [i8]Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu:
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. CoRR abs/2004.02438 (2020) - [i7]Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang:
A Graph Representation of Semi-structured Data for Web Question Answering. CoRR abs/2010.06801 (2020) - [i6]Xuming Hu, Fukun Ma, Chenyao Liu, Chenwei Zhang, Lijie Wen, Philip S. Yu:
Semi-supervised Relation Extraction via Incremental Meta Self-Training. CoRR abs/2010.16410 (2020) - [i5]Xiaohe Li, Lijie Wen, Chen Qian, Jianmin Wang:
GAHNE: Graph-Aggregated Heterogeneous Network Embedding. CoRR abs/2012.12517 (2020)
2010 – 2019
- 2019
- [j16]Zhiqiang Yan, Bo Sun, Yu Chen, Lijie Wen, Lei Hu, Jianmin Wang, Mingji Yang, Lu Wang:
Decomposed and parallel process discovery: A framework and application. Future Gener. Comput. Syst. 98: 392-405 (2019) - [c53]Yanan Zheng, Yan Wang, Lijie Wen, Jianmin Wang:
A Latent-Constrained Variational Neural Dialogue Model for Information-Rich Responses. CIKM 2019: 1351-1360 - [c52]Chen Qian, Lijie Wen, Akhil Kumar:
BePT: A Behavior-based Process Translator for Interpreting and Understanding Process Models. CIKM 2019: 1873-1882 - [c51]Javed Ali Khan, Yuchen Xie, Lin Liu, Lijie Wen:
Analysis of Requirements-Related Arguments in User Forums. RE 2019: 63-74 - [c50]Javed Ali Khan, Lin Liu, Lijie Wen, Raian Ali:
Crowd Intelligence in Requirements Engineering: Current Status and Future Directions. REFSQ 2019: 245-261 - [c49]Li Lin, Lijie Wen, Jianmin Wang:
MM-Pred: A Deep Predictive Model for Multi-attribute Event Sequence. SDM 2019: 118-126 - [i4]Chen Qian, Lijie Wen, Akhil Kumar:
BePT: A Process Translator for Sharing Process Models. CoRR abs/1904.09768 (2019) - [i3]Chen Qian, Lijie Wen, Akhil Kumar:
TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking. CoRR abs/1905.06883 (2019) - [i2]Chen Qian, Lijie Wen, Mingsheng Long, Yanwei Li, Akhil Kumar, Jianmin Wang:
Process Extraction from Texts via Multi-Task Architecture. CoRR abs/1906.02127 (2019) - 2018
- [c48]Huaqing Wang, Lijie Wen, Li Lin, Jianmin Wang:
RLRecommender: A Representation-Learning-Based Recommendation Method for Business Process Modeling. ICSOC 2018: 478-486 - [c47]Javed Ali Khan, Lin Liu, Yidi Jia, Lijie Wen:
Linguistic Analysis of Crowd Requirements: An Experimental Study. EmpiRE@RE 2018: 24-31 - 2017
- [c46]Chen Qian, Lijie Wen, Jianmin Wang, Akhil Kumar, Haoran Li:
Structural Descriptions of Process Models Based on Goal-Oriented Unfolding. CAiSE 2017: 397-412 - [c45]Yanan Zheng, Lijie Wen, Jianmin Wang, Jun Yan, Lei Ji:
Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory. CIKM 2017: 1369-1378 - [c44]Jianwen Su, Lijie Wen, Jian Yang:
From Data-centric Business Processes to Enterprise Process Frameworks. EDOC 2017: 1-9 - [c43]Canbin Zheng, Lijie Wen, Jianmin Wang:
Detecting Process Concept Drifts from Event Logs. OTM Conferences (1) 2017: 524-542 - 2016
- [j15]Tao Jin, Jianmin Wang, Yun Yang, Lijie Wen, Keqin Li:
Refactor Business Process Models with Maximized Parallelism. IEEE Trans. Serv. Comput. 9(3): 456-468 (2016) - [c42]Jisheng Pei, Lijie Wen, Xiaojun Ye, Akhil Kumar, Zijing Lin:
Transition Adjacency Relation Computation Based on Unfolding: Potentials and Challenges. OTM Conferences 2016: 61-79 - [c41]Shuhao Wang, Lijie Wen, Akhil Kumar, Jianmin Wang, Jianwen Su:
ExRORU: A New Approach to Characterize the Behavioral Semantics of Process Models (Short Paper). OTM Conferences 2016: 318-326 - 2015
- [c40]Qinlong Guo, Lijie Wen, Jianmin Wang, Zhiqiang Yan, Philip S. Yu:
Mining Invisible Tasks in Non-free-choice Constructs. BPM 2015: 109-125 - [c39]Yuquan Wang, Lijie Wen, Zhiqiang Yan, Bo Sun, Jianmin Wang:
Discovering BPMN Models with Sub-processes and Multi-instance Markers. OTM Conferences 2015: 185-201 - [e1]Joonsoo Bae, Suriadi Suriadi, Lijie Wen:
Asia Pacific Business Process Management - Third Asia Pacific Conference, AP-BPM 2015, Busan, South Korea, June 24-26, 2015, Proceedings. Lecture Notes in Business Information Processing 219, Springer 2015, ISBN 978-3-319-19508-7 [contents] - [i1]Jisheng Pei, Lijie Wen, Xiaojun Ye:
Computation of Transition Adjacency Relations Based on Complete Prefix Unfolding (Technical Report). CoRR abs/1512.00428 (2015) - 2014
- [j14]Hedong Yang, Lijie Wen, Jianmin Wang, Raymond K. Wong:
CPL+: An improved approach for evaluating the local completeness of event logs. Inf. Process. Lett. 114(11): 607-610 (2014) - [j13]Tao Jin, Jianmin Wang, Lijie Wen, Gen Zou:
Computing Refined Ordering Relations with Uncertainty for Acyclic Process Models. IEEE Trans. Serv. Comput. 7(3): 415-426 (2014) - [j12]Jianmin Wang, Tao Jin, Raymond K. Wong, Lijie Wen:
Querying business process model repositories - A survey of current approaches and issues. World Wide Web 17(3): 427-454 (2014) - [c38]Qinlong Guo, Lijie Wen, Jianmin Wang, Zizhe Ding, Cheng Lv:
A Universal Significant Reference Model Set for Process Mining Evaluation Framework. AP-BPM 2014: 16-30 - [c37]Keqiang Liu, Zhiqiang Yan, Yuquan Wang, Lijie Wen, Jianmin Wang:
Efficient Syntactic Process Difference Detection Using Flexible Feature Matching. AP-BPM 2014: 103-116 - [c36]Shuhao Wang, Cheng Lv, Lijie Wen, Jianmin Wang:
Managing Massive Business Process Models and Instances with Process Space. BPM (Demos) 2014: 91 - [c35]Zixuan Wang, Lijie Wen, Jianmin Wang, Shuhao Wang:
TAGER: Transition-Labeled Graph Edit Distance Similarity Measure on Process Models. OTM Conferences 2014: 184-201 - [c34]Zihe Dong, Lijie Wen, Haowei Huang, Jianmin Wang:
CFS: A Behavioral Similarity Algorithm for Process Models Based on Complete Firing Sequences. OTM Conferences 2014: 202-219 - [c33]Zhiqiang Yan, Yuquan Wang, Lijie Wen, Jianmin Wang:
Efficient Behavioral-Difference Detection between Business Process Models. OTM Conferences 2014: 220-236 - 2013
- [j11]Tao Jin, Jianmin Wang, Marcello La Rosa, Arthur H. M. ter Hofstede, Lijie Wen:
Efficient querying of large process model repositories. Comput. Ind. 64(1): 41-49 (2013) - [j10]Liang Song, Jianmin Wang, Lijie Wen, Hui Kong:
Efficient Semantics-Based Compliance Checking Using LTL Formulae and Unfolding. J. Appl. Math. 2013: 962765:1-962765:24 (2013) - [j9]Jianmin Wang, Raymond K. Wong, Jianwei Ding, Qinlong Guo, Lijie Wen:
Efficient Selection of Process Mining Algorithms. IEEE Trans. Serv. Comput. 6(4): 484-496 (2013) - [c32]Jie Li, Lijie Wen, Jianmin Wang, Zhiqiang Yan:
Process Model Storage Solutions: Proposition and Evaluation. AP-BPM 2013: 56-66 - [c31]Xiang Gao, Yurong Chen, Zizhe Ding, Meng Wang, Xiaonan Zhang, Zhiqiang Yan, Lijie Wen, Qinlong Guo, Ran Chen:
Process Model Fragmentization, Clustering and Merging: An Empirical Study. Business Process Management Workshops 2013: 405-416 - [c30]Hedong Yang, Lijie Wen, Jianmin Wang:
An Approach to Identifying False Traces in Process Event Logs. PAKDD (2) 2013: 533-545 - 2012
- [j8]Zhao-xia Wang, Jian-min Wang, Xiao-chen Zhu, Li-jie Wen:
Verification of workflow nets with transition conditions. J. Zhejiang Univ. Sci. C 13(7): 483-509 (2012) - [c29]Tao Jin, Jianmin Wang, Lijie Wen:
Efficient Retrieval of Similar Workflow Models Based on Behavior. APWeb 2012: 677-684 - [c28]Hedong Yang, Lijie Wen, Jianmin Wang:
An Approach to Evaluate the Local Completeness of an Event Log. ICDM 2012: 1164-1169 - [c27]Zhaoxia Wang, Lijie Wen, Xiaochen Zhu, Yingbo Liu, Jianmin Wang:
Detecting Infeasible Traces in Process Models. ICEIS (3) 2012: 212-217 - [c26]Jianmin Wang, Raymond K. Wong, Jianwei Ding, Qinlong Guo, Lijie Wen:
On Recommendation of Process Mining Algorithms. ICWS 2012: 311-318 - [c25]Hedong Yang, Lijie Wen, Yingbo Liu, Jianmin Wang:
An Approach to Recommend Resources for Business Processes. OTM Workshops 2012: 662-665 - [c24]Jianmin Wang, Shijie Tan, Lijie Wen, Raymond K. Wong, Qinlong Guo:
An empirical evaluation of process mining algorithms based on structural and behavioral similarities. SAC 2012: 211-213 - 2011
- [j7]Haiping Zha, Wil M. P. van der Aalst, Jianmin Wang, Lijie Wen, Jiaguang Sun:
Verifying workflow processes: a transformation-based approach. Softw. Syst. Model. 10(2): 253-264 (2011) - [c23]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, Malú 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. Günther, 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 Pérez, Ricardo Seguel Pérez, Marcos Sepúlveda, 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:
Process Mining Manifesto. Business Process Management Workshops (1) 2011: 169-194 - [c22]Tao Jin, Jianmin Wang, Lijie Wen:
Efficiently Querying Business Process Models with BeehiveZ. BPM (Demos) 2011 - [c21]Tao Jin, Jianmin Wang, Lijie Wen:
Querying Business Process Models Based on Semantics. DASFAA (2) 2011: 164-178 - [c20]Liang Song, Jianmin Wang, Lijie Wen, Wenxing Wang, Shijie Tan, Hui Kong:
Querying Process Models Based on the Temporal Relations between Tasks. EDOCW 2011: 213-222 - [c19]Zhaoxia Wang, Jianmin Wang, Lijie Wen, Guiming Luo:
Formally Modeling and Analyzing Data-centric Workflow using WFCP-net and ASK-CTL. ICEIS (3) 2011: 139-144 - [c18]Tao Jin, Jianmin Wang, Lijie Wen:
Efficient Retrieval of Similar Business Process Models Based on Structure - (Short Paper). OTM Conferences (1) 2011: 56-63 - 2010
- [j6]Haiping Zha, Jianmin Wang, Lijie Wen, Chaokun Wang, Jiaguang Sun:
A workflow net similarity measure based on transition adjacency relations. Comput. Ind. 61(5): 463-471 (2010) - [j5]Lijie Wen, Jianmin Wang, Wil M. P. van der Aalst, Biqing Huang, Jiaguang Sun:
Mining process models with prime invisible tasks. Data Knowl. Eng. 69(10): 999-1021 (2010) - [c17]Rui Han, Yingbo Liu, Lijie Wen, Jianmin Wang:
Dynamically Analyzing Time Constraints in Workflow Systems with Fixed-Date Constraint. APWeb 2010: 99-105 - [c16]Jianmin Wang, Tengfei He, Lijie Wen, Nianhua Wu, Arthur H. M. ter Hofstede, Jianwen Su:
A Behavioral Similarity Measure between Labeled Petri Nets Based on Principal Transition Sequences - (Short Paper). OTM Conferences (1) 2010: 394-401
2000 – 2009
- 2009
- [j4]Lijie Wen, Jianmin Wang, Wil M. P. van der Aalst, Biqing Huang, Jiaguang Sun:
A novel approach for process mining based on event types. J. Intell. Inf. Syst. 32(2): 163-190 (2009) - [j3]Boudewijn F. van Dongen, Ana Karla Alves de Medeiros, Lijie Wen:
Process Mining: Overview and Outlook of Petri Net Discovery Algorithms. Trans. Petri Nets Other Model. Concurr. 2: 225-242 (2009) - [c15]Haiping Zha, Jianmin Wang, Lijie Wen, Chaokun Wang:
A label-free similarity measure between workflow nets. APSCC 2009: 463-469 - [c14]Zhaoxia Wang, Jianmin Wang, Lijie Wen, Yingbo Liu:
Extracting Real-Life Log with Data Perspective in PLM System for Business Process Analysis. CSIE (7) 2009: 664-668 - [c13]Rui Han, Yingbo Liu, Lijie Wen, Jianmin Wang:
Probability Timing Constraint WF-Nets and Their Application to Timing Schedulability Analysis of Workflow Management Systems. CSIE (7) 2009: 669-673 - [c12]Zhaoxia Wang, Jianmin Wang, Lijie Wen, Yingbo Liu:
Deriving Canonical Business Object Operation Nets from Process Models. ICEIS (3) 2009: 182-187 - [c11]Rui Han, Yingbo Liu, Lijie Wen, Jianmin Wang:
A Two-Stage Probabilistic Approach to Manage Personal Worklist in Workflow Management Systems. OTM Conferences (1) 2009: 24-41 - 2008
- [c10]Daoye Zhang, Dahai Cao, Lijie Wen, Jianmin Wang:
An Efficient Approach for Supporting Dynamic Evolutionary Change of Adaptive Workflow. APWeb 2008: 684-695 - [c9]JianHong Ye, ShiXin Sun, Wen Song, Lijie Wen:
The Operations and Properties of Reproducibility of the Empty Marking. CIS (1) 2008: 139-144 - [c8]JianHong Ye, ShiXin Sun, Lijie Wen, Wen Song:
Transformation of BPMN to YAWL. CSSE (2) 2008: 354-359 - 2007
- [j2]Lijie Wen, Wil M. P. van der Aalst, Jianmin Wang, Jiaguang Sun:
Mining process models with non-free-choice constructs. Data Min. Knowl. Discov. 15(2): 145-180 (2007) - [c7]Changrui Ren, Lijie Wen, Jin Dong, Hongwei Ding, Wei Wang, Minmin Qiu:
A Novel Approach for Process Mining Based on Event Types. IEEE SCC 2007: 721-722 - [c6]Haiping Zha, Yun Yang, Jianmin Wang, Lijie Wen:
Transforming XPDL to Petri Nets. Business Process Management Workshops 2007: 197-207 - [c5]Haiping Zha, Lijie Wen, Jianmin Wang:
An InnovativeWorkflow Product Structure. COMPSAC (1) 2007: 639-640 - [c4]Tao Jin, Jianmin Wang, Lijie Wen:
Organizational Modeling from Event logs. GCC 2007: 670-675 - [c3]Lijie Wen, Jianmin Wang, Jiaguang Sun:
Mining Invisible Tasks from Event Logs. APWeb/WAIM 2007: 358-365 - 2006
- [c2]Lijie Wen, Jianmin Wang, Jia-Guang Sun:
Detecting Implicit Dependencies Between Tasks from Event Logs. APWeb 2006: 591-603 - 2005
- [j1]Jianmin Wang, Yuming Zhou, Lijie Wen, Yujian Chen, Hongmin Lu, Baowen Xu:
DMC: a more precise cohesion measure for classes. Inf. Softw. Technol. 47(3): 167-180 (2005) - 2003
- [c1]Yuming Zhou, Lijie Wen, Jianmin Wang, Yujian Chen, Hongmin Lu, Baowen Xu:
DRC: A Dependence Relationships Based Cohesion Measure for Classes. APSEC 2003: 215-223
Coauthor Index
[j34] [j30] [c95] [c94] [c93] [c92] [c91] [c90] [i46] [i43] [i41] [i39] [i37] [i36] [j28] [c89] [c88] [c87] [c86] [c85] [c83] [c82] [c81] [c79] [c78] [c77] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [j23] [c76] [c75] [c74] [c72] [c71] [c70] [c69] [i22] [i21] [i20] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [c64] [c63] [i9] [c57] [i8] [i6]
[c84] [c69] [i22] [j21] [c65] [c60] [c58] [c56] [i5] [j16] [c53] [c49] [i2] [c48] [c46] [c45] [c43] [j15] [c41] [c40] [c39] [j14] [j13] [j12] [c38] [c37] [c36] [c35] [c34] [c33] [j11] [j10] [j9] [c32] [c30] [j8] [c29] [c28] [c27] [c26] [c25] [c24] [j7] [c23] [c22] [c21] [c20] [c19] [c18] [j6] [j5] [c17] [c16] [j4] [c15] [c14] [c13] [c12] [c11] [c10] [j2] [c6] [c5] [c4] [c3] [c2] [j1] [c1]
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