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2020 – today
- 2025
[c123]Shicheng Wang, Hengzhu Tang, Li Gao, Shu Guo, Suqi Cheng, Junfeng Wang, Dawei Yin, Tingwen Liu, Lihong Wang:
Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation. AAAI 2025: 12739-12747- [c122]Longzhou Liu, Chenglong Xiao, Shanshan Wang, Tingwen Liu:
Relation Logical Reasoning and Relation-aware Entity Encoding for Temporal Knowledge Graph Reasoning. COLING 2025: 1323-1332 - [c121]Xiaodong Li
, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu:
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. KDD (1) 2025: 719-728 - [c120]Juwei Yue, Haikuo Li, Jiawei Sheng, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu, Li Guo:
Graph Wave Networks. WWW 2025: 1365-1379 - [i41]Xiaodong Li, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu:
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. CoRR abs/2501.11671 (2025) - [i40]Xiaodong Li, Ruochen Yang, Shuang Wen, Shen Wang, Yueyang Liu, Guoquan Wang, Weisong Hu, Qiang Luo, Jiawei Sheng, Tingwen Liu, Jiangxia Cao, Shuang Yang, Zhaojie Liu:
FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation. CoRR abs/2502.09375 (2025) - [i39]Yilong Chen, Junyuan Shang, Zhenyu Zhang, Yanxi Xie, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang:
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking. CoRR abs/2502.13842 (2025) - [i38]Wenyuan Zhang, Tianyun Liu, Mengxiao Song, Xiaodong Li, Tingwen Liu:
SOTOPIA-Ω: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents. CoRR abs/2502.15538 (2025) - [i37]Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu:
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization. CoRR abs/2503.17928 (2025) - 2024
- [j5]Shiyao Cui, Bo-Wen Yu, Xin Cong, Tingwen Liu, Qingfeng Tan, Jinqiao Shi:
Label-Aware Chinese Event Detection with Heterogeneous Graph Attention Network. J. Comput. Sci. Technol. 39(2): 227-242 (2024) - [j4]Shiyao Cui, Jiangxia Cao, Xin Cong, Jiawei Sheng, Quangang Li, Tingwen Liu, Jinqiao Shi:
Enhancing Multimodal Entity and Relation Extraction With Variational Information Bottleneck. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1274-1285 (2024) - [j3]Xinghua Zhang, Bowen Yu, Xin Cong, Taoyu Su, Quangang Li, Tingwen Liu, Hongbo Xu:
Cross-Domain NER under a Divide-and-Transfer Paradigm. ACM Trans. Inf. Syst. 42(5): 137:1-137:32 (2024) - [c119]Zefeng Zhang, Jiawei Sheng, Chuang Zhang, Liangyunzhi Liangyunzhi, Wenyuan Zhang, Siqi Wang, Tingwen Liu:
Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking. ACL (Findings) 2024: 4103-4117 - [c118]Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu:
NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time. ACL (1) 2024: 7913-7926 - [c117]Yilong Chen, Junyuan Shang, Zhenyu Zhang, Shiyao Cui, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu:
LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion. ACL (1) 2024: 8005-8019 - [c116]Shuili Zhang, Hongzhang Mu, Tingwen Liu, Qianqian Tong, Jiawei Sheng:
MSKR: Advancing Multi-modal Structured Knowledge Representation with Synergistic Hard Negative Samples. CIKM 2024: 3207-3216 - [c115]Mengyao Chen, Xinghua Zhang, Junhao Zhang, Quangang Li, Tingwen Liu:
Empowering LLMs for Multi-Page Layout Generation via Consistency-Oriented In-Context Learning. CIKM 2024: 3679-3683 - [c114]Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu:
LoginMEA: Local-to-Global Interaction Network for Multi-Modal Entity Alignment. ECAI 2024: 1173-1180 - [c113]Siqi Wang, Shiyao Cui, Chuang Zhang, Zefeng Zhang, Jing Wang, Tingwen Liu:
Towards Persona-Oriented LLM-Generated Text Detection: Benchmark Dataset and Method. ICANN (7) 2024: 352-367 - [c112]Shuili Zhang, Hongzhang Mu, Quangang Li, Chenglong Xiao, Tingwen Liu:
Fine-Grained Features Alignment and Fusion for Text-Video Cross-Modal Retrieval. ICASSP 2024: 3325-3329 - [c111]Gehang Zhang, Jiawei Sheng, Shicheng Wang, Tingwen Liu:
Noise-Disentangled Graph Contrastive Learning via Low-Rank and Sparse Subspace Decomposition. ICASSP 2024: 5880-5884 - [c110]Wenyuan Zhang, Xinghua Zhang, Shiyao Cui, Kun Huang, Xuebin Wang, Tingwen Liu:
Adaptive Data Augmentation for Aspect Sentiment Quad Prediction. ICASSP 2024: 11176-11180 - [c109]Wenhao Zhang, Shiyao Cui, Wenyuan Zhang, Xinghua Zhang, Tingwen Liu, Hongbo Xu:
Improving Chinese Spelling Correction with Text-Phonetics Differentiation and Adaptive Fusion. ICASSP 2024: 11736-11740 - [c108]Hongzhang Mu, Shuili Zhang, Quangang Li, Tingwen Liu, Hongbo Xu:
Dynamic Multi-Modal Representation Learning For Topic Modeling. ICME 2024: 1-6 - [c107]Jingwen Lin, Shunan Zang, Taoyu Su, Chuang Zhang, Tingwen Liu:
News Topic Sentence Generation Based on Two-stage Summarization. IJCNN 2024: 1-7 - [c106]Siqi Wang, Chuang Zhang, Tingwen Liu:
Prog-TAPAS: Enabling Table and Program Representation Consistency for Fact Verification. IJCNN 2024: 1-7 - [c105]Shuili Zhang, Hongzhang Mu, Tingwen Liu:
Improving Accuracy and Generalizability via Multi-Modal Large Language Models Collaboration. IJCNN 2024: 1-8 - [c104]Taoyu Su, Jiawei Sheng, Shicheng Wang, Xinghua Zhang, Hongbo Xu, Tingwen Liu:
IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment. ACM Multimedia 2024: 4436-4445 - [c103]Yilong Chen, Linhao Zhang, Junyuan Shang, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun:
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion. NeurIPS 2024 - [c102]Xinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu, Hongbo Xu:
Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition. SIGIR 2024: 630-640 - [c101]Minghuan Yuan, Shiyao Cui, Xinghua Zhang, Shicheng Wang, Hongbo Xu, Tingwen Liu:
Exploring the Trade-Off within Visual Information for MultiModal Sentence Summarization. SIGIR 2024: 2006-2017 - [c100]Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu:
CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process. WSDM 2024: 378-386 - [i36]Wenyuan Zhang, Xinghua Zhang, Shiyao Cui, Kun Huang, Xuebin Wang, Tingwen Liu:
Adaptive Data Augmentation for Aspect Sentiment Quad Prediction. CoRR abs/2401.06394 (2024) - [i35]Zefeng Zhang, Jiawei Sheng, Chuang Zhang, Yunzhi Liang, Wenyuan Zhang, Siqi Wang, Tingwen Liu:
Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking. CoRR abs/2406.01934 (2024) - [i34]Yilong Chen, Linhao Zhang, Junyuan Shang, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun:
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion. CoRR abs/2406.06567 (2024) - [i33]Taoyu Su, Jiawei Sheng, Shicheng Wang, Xinghua Zhang, Hongbo Xu, Tingwen Liu:
IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment. CoRR abs/2407.19302 (2024) - [i32]Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu:
LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment. CoRR abs/2407.19625 (2024) - [i31]Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu:
NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time. CoRR abs/2408.03675 (2024) - [i30]Wenyuan Zhang, Jiawei Sheng, Shuaiyi Nie, Zefeng Zhang, Xinghua Zhang, Yongquan He, Tingwen Liu:
Revealing the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing. CoRR abs/2409.11726 (2024) - [i29]Chuanyu Tang, Yilong Chen, Zhenyu Zhang, Junyuan Shang, Wenyuan Zhang, Yong Huang, Tingwen Liu:
MoR: Mixture of Ranks for Low-Rank Adaptation Tuning. CoRR abs/2410.13408 (2024) - [i28]Yilong Chen, Junyuan Shang, Zhengyu Zhang, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang:
Mixture of Hidden-Dimensions Transformer. CoRR abs/2412.05644 (2024) - 2023
- [c99]Xin Cong, Bowen Yu, Mengcheng Fang, Tingwen Liu, Haiyang Yu, Zhongkai Hu, Fei Huang, Yongbin Li, Bin Wang:
Universal Information Extraction with Meta-Pretrained Self-Retrieval. ACL (Findings) 2023: 4084-4100 - [c98]Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu:
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. IEEE Big Data 2023: 473-482 - [c97]Jiawei Sheng, Xin Cong, Jiangxia Cao, Shu Guo, Chen Li, Lihong Wang, Tingwen Liu, Hongbo Xu:
Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification. ECAI 2023: 2129-2137 - [c96]Hongzhang Mu, Shuili Zhang, Quangang Li, Tingwen Liu, Hongbo Xu:
Adapt-to-Learn Policy Network for Abstractive Multi-document Summarization. IJCNN 2023: 1-8 - [c95]Tianyun Liu, Xinghua Zhang, Zhenyu Zhang, Yubin Wang, Quangang Li, Shuai Zhang, Tingwen Liu:
Enhancing Table Retrieval with Dual Graph Representations. ECML/PKDD (4) 2023: 107-123 - [c94]Shicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu, Hongbo Xu:
HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation. SIGIR 2023: 259-268 - [c93]Xinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu:
Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. SIGIR 2023: 1230-1240 - [c92]Jiangxia Cao, Shaoshuai Li, Bowen Yu, Xiaobo Guo, Tingwen Liu, Bin Wang:
Towards Universal Cross-Domain Recommendation. WSDM 2023: 78-86 - [c91]Zhenyu Zhang, Bowen Yu, Tingwen Liu, Tianyun Liu, Yubin Wang, Li Guo:
Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings. WWW 2023: 1683-1692 - [i27]Shiyao Cui, Jiawei Sheng, Xin Cong, Quangang Li, Tingwen Liu, Jinqiao Shi:
Event Causality Extraction with Event Argument Correlations. CoRR abs/2301.11621 (2023) - [i26]Shiyao Cui, Jiangxia Cao, Xin Cong, Jiawei Sheng, Quangang Li, Tingwen Liu, Jinqiao Shi:
Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck. CoRR abs/2304.02328 (2023) - [i25]Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang:
Contrastive Cross-Domain Sequential Recommendation. CoRR abs/2304.03891 (2023) - [i24]Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Tingwen Liu, Chuan Zhou:
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. CoRR abs/2304.10045 (2023) - [i23]Xin Cong, Bowen Yu, Mengcheng Fang, Tingwen Liu, Haiyang Yu, Zhongkai Hu, Fei Huang, Yongbin Li, Bin Wang:
Universal Information Extraction with Meta-Pretrained Self-Retrieval. CoRR abs/2306.10444 (2023) - [i22]Xinghua Zhang, Bowen Yu, Haiyang Yu, Yangyu Lv, Tingwen Liu, Fei Huang, Hongbo Xu, Yongbin Li:
Wider and Deeper LLM Networks are Fairer LLM Evaluators. CoRR abs/2308.01862 (2023) - [i21]Shiyao Cui, Xin Cong, Jiawei Sheng, Xuebin Wang, Tingwen Liu, Jinqiao Shi:
Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction. CoRR abs/2308.02103 (2023) - [i20]Shiyao Cui, Zhenyu Zhang, Yilong Chen, Wenyuan Zhang, Tianyun Liu, Siqi Wang, Tingwen Liu:
FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity. CoRR abs/2311.18580 (2023) - 2022
- [c90]Yanzeng Li, Jiangxia Cao, Xin Cong, Zhenyu Zhang, Bowen Yu, Hongsong Zhu, Tingwen Liu:
Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph. ACL (1) 2022: 1986-1996 - [c89]Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang:
Contrastive Cross-Domain Sequential Recommendation. CIKM 2022: 138-147 - [c88]Shiyao Cui, Jiawei Sheng, Xin Cong, Quangang Li, Tingwen Liu, Jinqiao Shi:
Event Causality Extraction with Event Argument Correlations. COLING 2022: 2300-2312 - [c87]Mengxiao Song, Bowen Yu, Quangang Li, Yubin Wang, Tingwen Liu, Hongbo Xu:
Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence. EMNLP 2022: 7967-7977 - [c86]Shiyao Cui, Xin Cong, Bowen Yu, Tingwen Liu, Yucheng Wang, Jinqiao Shi:
Document-Level Event Extraction via Human-Like Reading Process. ICASSP 2022: 6337-6341 - [c85]Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang:
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. ICDE 2022: 2209-2223 - [c84]Hongzhang Mu, Tingwen Liu, Hongbo Xu:
Learning-to-Learn Agent Adaptation Policy for Abstractive Summarization. IJCNN 2022: 1-7 - [c83]Zhenyu Zhang, Bowen Yu, Haiyang Yu, Tingwen Liu, Cheng Fu, Jingyang Li, Chengguang Tang, Jian Sun, Yongbin Li:
Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration. ACM Multimedia 2022: 7252-7260 - [c82]Shicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu, Hongbo Xu:
Multi-interest Extraction Joint with Contrastive Learning for News Recommendation. ECML/PKDD (1) 2022: 606-621 - [c81]Zhaohui Wang, Xinghua Zhang, Yanzeng Li, Yubin Wang, Jiawei Sheng, Tingwen Liu, Hongbo Xu:
Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction. SEKE 2022: 317-322 - [c80]Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang:
DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. SIGIR 2022: 267-277 - [c79]Xinghua Zhang, Bowen Yu, Yubin Wang, Tingwen Liu, Taoyu Su, Hongbo Xu:
Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition. SIGIR 2022: 301-311 - [c78]Jiawei Sheng, Rui Sun, Shu Guo, Shiyao Cui, Jiangxia Cao, Lihong Wang, Tingwen Liu, Hongbo Xu:
CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection. SIGIR 2022: 1122-1132 - [c77]Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu, Bin Wang:
Relation-Guided Few-Shot Relational Triple Extraction. SIGIR 2022: 2206-2213 - [c76]Jiangxia Cao, Xin Cong, Tingwen Liu, Bin Wang:
Item Similarity Mining for Multi-Market Recommendation. SIGIR 2022: 2249-2254 - [i19]Shiyao Cui, Xin Cong, Bowen Yu, Tingwen Liu, Yucheng Wang, Jinqiao Shi:
Document-Level Event Extraction via Human-Like Reading Process. CoRR abs/2202.03092 (2022) - [i18]Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang:
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. CoRR abs/2203.16863 (2022) - [i17]Zhenyu Zhang, Bowen Yu, Haiyang Yu, Tingwen Liu, Cheng Fu, Jingyang Li, Chengguang Tang, Jian Sun, Yongbin Li:
Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration. CoRR abs/2207.06717 (2022) - [i16]Bowen Yu, Zhenyu Zhang, Jingyang Li, Haiyang Yu, Tingwen Liu, Jian Sun, Yongbin Li, Bin Wang:
Towards Generalized Open Information Extraction. CoRR abs/2211.15987 (2022) - 2021
- [j2]Jiawei Sheng, Qian Li, Yiming Hei, Shu Guo, Bowen Yu, Lihong Wang, Min He, Tingwen Liu, Hongbo Xu:
A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task. Data Intell. 3(3): 444-459 (2021) - [c75]Xin Cong, Shiyao Cui, Bowen Yu, Tingwen Liu, Yubin Wang, Bin Wang:
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field. ACL/IJCNLP (Findings) 2021: 28-40 - [c74]Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Mengge Xue, Tingwen Liu, Li Guo:
From What to Why: Improving Relation Extraction with Rationale Graph. ACL/IJCNLP (Findings) 2021: 86-95 - [c73]Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu:
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. ACL/IJCNLP (Findings) 2021: 164-174 - [c72]Yucheng Wang, Bowen Yu, Hongsong Zhu, Tingwen Liu, Nan Yu, Limin Sun:
Discontinuous Named Entity Recognition as Maximal Clique Discovery. ACL/IJCNLP (1) 2021: 764-774 - [c71]Jiapeng Zhao, Panpan Zhang, Tingwen Liu, Zhenyu Zhang, Yanzeng Li, Jinqiao Shi:
Relation Extraction based on Data Partition and Representation Integration. DSC 2021: 68-75 - [c70]Panpan Zhang, Jing Ya, Tingwen Liu, Jinqiao Shi:
Mining Open-Source Cyber Threat Intelligence with Distant Supervision from the Web. DSC 2021: 76-82 - [c69]Panpan Zhang, Yao Qi, Yanzeng Li, Jing Ya, Xuebin Wang, Tingwen Liu, Jinqiao Shi:
Identifying Reply Relationships from Telegram Groups Using Multi-Features Fusion. DSC 2021: 321-327 - [c68]Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu:
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. EMNLP (Findings) 2021: 1518-1529 - [c67]Bowen Yu, Yucheng Wang, Tingwen Liu, Hongsong Zhu, Limin Sun, Bin Wang:
Maximal Clique Based Non-Autoregressive Open Information Extraction. EMNLP (1) 2021: 9696-9706 - [c66]Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu:
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. EMNLP (1) 2021: 10746-10757 - [c65]Boxin Li, Tingwen Liu, Bin Wang, Lihong Wang:
Enhancing Deep Paraphrase Identification via Leveraging Word Alignment Information. ICASSP 2021: 7843-7847 - [c64]Panpan Zhang, Xuebin Wang, Jing Ya, Jiapeng Zhao, Tingwen Liu, Jinqiao Shi:
Darknet Public Hazard Entity Recognition Based on Deep Learning. ICEA 2021: 94-100 - [c63]Yanzeng Li, Bowen Yu, Quangang Li, Tingwen Liu:
FITAnnotator: A Flexible and Intelligent Text Annotation System. NAACL-HLT (Demonstrations) 2021: 35-41 - [c62]Jiapeng Zhao, Panpan Zhang, Tingwen Liu, Jinqiao Shi:
SEPC: Improving Joint Extraction of Entities and Relations by Strengthening Entity Pairs Connection. PAKDD (1) 2021: 817-828 - [c61]Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang:
Deep Structural Point Process for Learning Temporal Interaction Networks. ECML/PKDD (1) 2021: 305-320 - [c60]Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu:
NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction. ECML/PKDD (3) 2021: 580-595 - [c59]Jing Ya, Tingwen Liu, Jiangxia Cao, Li Guo:
Heterogeneous Graph Neural Networks for Query-focused Summarization. SDM 2021: 720-728 - [c58]Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang:
Bipartite Graph Embedding via Mutual Information Maximization. WSDM 2021: 635-643 - [c57]Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, Bin Wang:
Semi-Open Information Extraction. WWW 2021: 1661-1672 - [i15]Yucheng Wang, Bowen Yu, Hongsong Zhu, Tingwen Liu, Nan Yu, Limin Sun:
Discontinuous Named Entity Recognition as Maximal Clique Discovery. CoRR abs/2106.00218 (2021) - [i14]Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu:
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. CoRR abs/2107.01583 (2021) - [i13]Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang:
Deep Structural Point Process for Learning Temporal Interaction Networks. CoRR abs/2107.03573 (2021) - [i12]Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu:
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. CoRR abs/2110.04429 (2021) - 2020
- [c56]Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu, Jiapeng Zhao, Quangang Li, Li Guo:
Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction. AAAI 2020: 9620-9627 - [c55]Yanzeng Li, Bowen Yu, Mengge Xue, Tingwen Liu:
Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention. ACL 2020: 3442-3448 - [c54]Yucheng Wang, Bowen Yu, Yueyang Zhang, Tingwen Liu, Hongsong Zhu, Limin Sun:
TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking. COLING 2020: 1572-1582 - [c53]Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu, Hengzhu Tang, Yubin Wang, Li Guo:
Document-level Relation Extraction with Dual-tier Heterogeneous Graph. COLING 2020: 1630-1641 - [c52]Mengge Xue, Bowen Yu, Tingwen Liu, Yue Zhang, Erli Meng, Bin Wang:
Porous Lattice Transformer Encoder for Chinese NER. COLING 2020: 3831-3841 - [c51]Bowen Yu, Mengge Xue, Zhenyu Zhang, Tingwen Liu, Yubin Wang, Bin Wang:
Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction. COLING 2020: 3842-3852 - [c50]Haoliang Zhang, Hongbo Xu, Jinqiao Shi, Tingwen Liu, Chun Liao:
Word Level Domain-Diversity Attention Based LSTM Model for Sentiment Classification. DSC 2020: 164-170 - [c49]Bowen Yu, Zhenyu Zhang, Xiaobo Shu, Tingwen Liu, Yubin Wang, Bin Wang, Sujian Li:
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. ECAI 2020: 2282-2289 - [c48]Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu:
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. EMNLP (1) 2020: 1681-1691 - [c47]Shiyao Cui, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Xuebin Wang, Jinqiao Shi:
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation. EMNLP (Findings) 2020: 2329-2339 - [c46]Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, Bin Wang:
Coarse-to-Fine Pre-training for Named Entity Recognition. EMNLP (1) 2020: 6345-6354 - [c45]Zhenyu Zhang, Xiaobo Sind, Tingwen Liu, Zheng Fang, Quangang Li:
Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population. IJCNN 2020: 1-8 - [c44]Boxin Li, Tingwen Liu, Bin Wang, Lihong Wang:
Label Noise Robust Curriculum for Deep Paraphrase Identification. IJCNN 2020: 1-8 - [c43]Xiaobo Shu, Bowen Yu, Zhenyu Zhang, Tingwen Liu:
DRG2vec: Learning Word Representations from Definition Relational Graph. IJCNN 2020: 1-9 - [c42]Xiaobo Shu, Mengge Xue, Yanzeng Li, Zhenyu Zhang, Tingwen Liu:
BiG-Transformer: Integrating Hierarchical Features for Transformer via Bipartite Graph. IJCNN 2020: 1-8 - [c41]Meiqi Wang, Yanzeng Li, Xuebin Wang, Tingwen Liu, Jinqiao Shi, Muqian Chen:
2ch-TCN: A Website Fingerprinting Attack over Tor Using 2-channel Temporal Convolutional Networks. ISCC 2020: 1-7 - [c40]Zhenyu Zhang, Bowen Yu, Tingwen Liu, Dong Wang:
Strong Baselines for Author Name Disambiguation with and Without Neural Networks. PAKDD (1) 2020: 369-381 - [c39]Yubin Wang, Zhenyu Zhang, Tingwen Liu, Li Guo:
SLGAT: Soft Labels Guided Graph Attention Networks. PAKDD (1) 2020: 512-523 - [c38]Xin Cong, Bowen Yu, Tingwen Liu, Shiyao Cui, Hengzhu Tang, Bin Wang:
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering. ECML/PKDD (2) 2020: 624-639 - [c37]Peng Liu, Tingwen Liu, Jinqiao Shi, Xuebin Wang, Zelin Yin, Can Zhao:
Aspect level sentiment classification with unbiased attention and target enhanced representations. SAC 2020: 843-850 - [c36]Jing Ya, Tingwen Liu, Li Guo:
A Compare-Aggregate Model with External Knowledge for Query-Focused Summarization. WISE (2) 2020: 68-83 - [c35]Yubin Wang, Zhenyu Zhang, Tingwen Liu, Hongbo Xu, Jingjing Wang, Li Guo:
Fine-Grained Semantics-Aware Heterogeneous Graph Neural Networks. WISE (1) 2020: 71-82 - [i11]Shiyao Cui, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Xuebin Wang, Jinqiao Shi:
Event Detection with Relation-Aware Graph Convolutional Neural Networks. CoRR abs/2002.10757 (2020) - [i10]Xin Cong, Bowen Yu, Tingwen Liu, Shiyao Cui, Hengzhu Tang, Bin Wang:
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering. CoRR abs/2006.12816 (2020) - [i9]Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, Bin Wang:
Coarse-to-Fine Pre-training for Named Entity Recognition. CoRR abs/2010.08210 (2020) - [i8]Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu:
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. CoRR abs/2010.09638 (2020) - [i7]Yucheng Wang, Bowen Yu, Yueyang Zhang, Tingwen Liu, Hongsong Zhu, Limin Sun:
TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking. CoRR abs/2010.13415 (2020) - [i6]Shiyao Cui, Bowen Yu, Xin Cong, Tingwen Liu, Quangang Li, Jinqiao Shi:
Label Enhanced Event Detection with Heterogeneous Graph Attention Networks. CoRR abs/2012.01878 (2020) - [i5]Xin Cong, Shiyao Cui, Bowen Yu, Tingwen Liu, Yubin Wang, Bin Wang:
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field. CoRR abs/2012.02353 (2020) - [i4]Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang:
Bipartite Graph Embedding via Mutual Information Maximization. CoRR abs/2012.05442 (2020)
2010 – 2019
- 2019
- [c34]Dong Wang, Tingwen Liu, Bin Wang:
Revising Attention with Position for Aspect-Level Sentiment Classification. ICANN (4) 2019: 130-142 - [c33]Jiapeng Zhao, Tingwen Liu, Jinqiao Shi:
Improving Academic Homepage Identification from the Web Using Neural Networks. ICCS (5) 2019: 551-558 - [c32]Bowen Yu, Zhenyu Zhang, Tingwen Liu, Bin Wang, Sujian Li, Quangang Li:
Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. IJCAI 2019: 5401-5407 - [c31]Qu Liu, Zhenyu Zhang, Yanzeng Li, Tingwen Liu, Diying Li, Jinqiao Shi:
ICNet: Incorporating Indicator Words and Contexts to Identify Functional Description Information. IJCNN 2019: 1-8 - [c30]Jing Ya, Tingwen Liu, Panpan Zhang, Jinqiao Shi, Li Guo, Zhaojun Gu:
NeuralAS: Deep Word-Based Spoofed URLs Detection Against Strong Similar Samples. IJCNN 2019: 1-7 - [c29]Muqian Chen, Xuebin Wang, Tingwen Liu, Jinqiao Shi, Zelin Yin, Binxing Fang:
SignalCookie: Discovering Guard Relays of Hidden Services in Parallel. ISCC 2019: 1-7 - [c28]Panpan Zhang, Jing Ya, Tingwen Liu, Quangang Li, Jinqiao Shi, Zhaojun Gu:
iMCircle: Automatic Mining of Indicators of Compromise from the Web. ISCC 2019: 1-6 - [c27]Haoliang Zhang, Hongbo Xu, Jinqiao Shi, Tingwen Liu, Jing Ya:
SFV-CNN: Deep Text Sentiment Classification with Scenario Feature Representation. MACIS 2019: 382-394 - [i3]Bowen Yu, Zhenyu Zhang, Jianlin Su, Yubin Wang, Tingwen Liu, Bin Wang, Sujian Li:
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. CoRR abs/1909.04273 (2019) - [i2]Mengge Xue, Bowen Yu, Tingwen Liu, Bin Wang, Erli Meng, Quangang Li:
Porous Lattice-based Transformer Encoder for Chinese NER. CoRR abs/1911.02733 (2019) - [i1]Yanzeng Li, Bowen Yu, Mengge Xue, Tingwen Liu:
Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention. CoRR abs/1911.02821 (2019) - 2018
- [c26]Yanzeng Li, Tingwen Liu, Diying Li, Quangang Li, Jinqiao Shi, Yanqiu Wang:
Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction. ACML 2018: 518-533 - [c25]Pin Lv, Lingling Bai, Tingwen Liu, Zhenhu Ning, Jinqiao Shi, Binxing Fang:
Detection of Malicious Domain Names Based on Hidden Markov Model. DSC 2018: 659-664 - [c24]Pin Lv, Jing Ya, Tingwen Liu, Jinqiao Shi, Binxing Fang, Zhaojun Gu:
You Have More Abbreviations Than You Know: A Study of AbbrevSquatting Abuse. ICCS (1) 2018: 221-233 - [c23]Jing Ya, Tingwen Liu, Quangang Li, Pin Lv, Jinqiao Shi, Li Guo:
Fast and Accurate Typosquatting Domains Evaluation with Siamese Networks. MILCOM 2018: 58-63 - 2017
- [c22]Jing Ya, Tingwen Liu, Quangang Li, Jinqiao Shi, Haoliang Zhang, Pin Lv, Li Guo:
Mining Host Behavior Patterns From Massive Network and Security Logs. ICCS 2017: 38-47 - [c21]Yang Yan, Tingwen Liu, Quangang Li, Jinqiao Shi, Li Guo, Yubin Wang:
Recognizing Compound Entity Phrases in Hybrid Academic Domains in View of Community Division. ICCS 2017: 2287-2291 - [c20]Panpan Zhang, Tingwen Liu, Yang Zhang, Jing Ya, Jinqiao Shi, Yubin Wang:
Domain Watcher: Detecting Malicious Domains Based on Local and Global Textual Features. ICCS 2017: 2408-2412 - [c19]Yang Yan, Tingwen Liu, Jinqiao Shi, Qiuyan Wang, Li Guo:
Flexible Expert Finding on the Web via Semantic Hypergraph Learning and Affinity Propagation Model. ICTAI 2017: 1204-1209 - 2016
- [c18]Jiapeng Zhao, Yang Yan, Tingwen Liu, Jinqiao Shi:
Towards Personal Relation Extraction Based on Sentence Pattern Tree. CCKS 2016: 92-103 - [c17]Yubin Wang, Tingwen Liu, Qingfeng Tan, Jinqiao Shi, Li Guo:
Identifying Users across Different Sites using Usernames. ICCS 2016: 376-385 - [c16]Yang Yan, Tingwen Liu, Li Guo, Jiapeng Zhao, Jinqiao Shi:
An Unsupervised Framework Towards Sci-Tech Compound Entity Recognition. KSEM 2016: 110-122 - [c15]Tingwen Liu, Yang Zhang, Jinqiao Shi, Jing Ya, Quangang Li, Li Guo:
Towards quantifying visual similarity of domain names for combating typosquatting abuse. MILCOM 2016: 770-775 - 2015
- [c14]Tingwen Liu, Yang Zhang, Yang Yan, Jinqiao Shi, Li Guo:
A Self-learning Rule-Based Approach for Sci-tech Compound Phrase Entity Recognition. APWeb 2015: 732-743 - [c13]Hongzhou Sha, Zhou Zhou, Qingyun Liu, Tingwen Liu, Chao Zheng:
Limited Dictionary Builder: An approach to select representative tokens for malicious URLs detection. ICC 2015: 7077-7082 - [c12]Yiguo Pu, Jinqiao Shi, Xiaojun Chen, Li Guo, Tingwen Liu:
Towards misdirected email detection based on multi-attributes. ISCC 2015: 796-802 - [c11]Jing Ya, Tingwen Liu, Haoliang Zhang, Jinqiao Shi, Li Guo:
An automatic approach to extract the formats of network and security log messages. MILCOM 2015: 1542-1547 - 2014
- [j1]Tingwen Liu, Alex X. Liu, Jinqiao Shi, Yong Sun, Li Guo:
Towards Fast and Optimal Grouping of Regular Expressions via DFA Size Estimation. IEEE J. Sel. Areas Commun. 32(10): 1797-1809 (2014) - [c10]Quangang Li, Jinqiao Shi, Tingwen Liu, Li Guo, Zhiguang Qin:
A probabilistic approach towards modeling email network with realistic features. ICCCN 2014: 1-8 - [c9]Tingwen Liu, Yiguo Pu, Jinqiao Shi, Quangang Li, Xiaojun Chen:
Towards misdirected email detection for preventing information leakage. ISCC 2014: 1-6 - 2013
- [c8]Hongzhou Sha, Tingwen Liu, Peng Qin, Yong Sun, Qingyun Liu:
EPLogCleaner: Improving Data Quality of Enterprise Proxy Logs for Efficient Web Usage Mining. ITQM 2013: 812-818 - 2012
- [c7]Tingwen Liu, Yong Sun, Alex X. Liu, Li Guo, Binxing Fang:
A Prefiltering Approach to Regular Expression Matching for Network Security Systems. ACNS 2012: 363-380 - [c6]Dengke Qiao, Tingwen Liu, Yong Sun, Li Guo:
EFA for Efficient Regular Expression Matching in NIDS (Poster Abstract). RAID 2012: 382-383 - [c5]Tingwen Liu, Yong Sun, Li Guo, Binxing Fang:
SDFA: Series DFA for Memory-Efficient Regular Expression Matching. CIAA 2012: 337-344 - 2011
- [c4]Tingwen Liu, Yifu Yang, Yanbing Liu, Yong Sun, Li Guo:
An efficient regular expressions compression algorithm from a new perspective. INFOCOM 2011: 2129-2137 - [c3]Tingwen Liu, Yong Sun, Li Guo, Binxing Fang:
Improving matching performance of DPI traffic classifier. SAC 2011: 514-519 - 2010
- [c2]Tingwen Liu, Yong Sun, Li Guo:
Fast and Memory-Efficient Traffic Classification with Deep Packet Inspection in CMP Architecture. NAS 2010: 208-217
2000 – 2009
- 2009
- [c1]Tingwen Liu, Yong Sun, Zhibin Zhang, Li Guo:
Load Balancing for Flow-Based Parallel Processing Systems in CMP Architecture. GLOBECOM 2009: 1-7
Coauthor Index
[j3] [c99] [c98] [c93] [c92] [c91] [i24] [i23] [i22] [c90] [c87] [c86] [c83] [c79] [c77] [i19] [i17] [i16] [j2] [c75] [c74] [c73] [c72] [c68] [c67] [c66] [c63] [c60] [c57] [i15] [i14] [i12] [c56] [c55] [c54] [c53] [c52] [c51] [c49] [c47] [c46] [c43] [c40] [c38] [i11] [i10] [i9] [i7] [i6] [i5] [c32] [i3] [i2] [i1]
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