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2024
Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing
Bingyan Liu, Chengyu Wang#, Tingfeng Cao, Kui Jia, Jun Huang
The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024, Full Paper, CCF Rank A Conference)
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models
Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang
The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024, Full Paper, CCF Rank A Conference)
Accelerating BERT Inference with GPU-Efficient Exit Prediction [pdf][bib]
Lei Li, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou
Frontiers of Computer Science (FCS, Research Article, CCF Rank B Journal)
Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters [pdf][bib]
Yukang Xie, Chengyu Wang#, Junbing Yan, Jiyong Zhou, Feiqi Deng, Jun Huang
The 17th ACM Conference on Web Search and Data Mining (WSDM 2024, Demo Paper, CCF Rank B Conference)
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models [pdf][bib]
Junbing Yan, Chengyu Wang#, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang, Longtao Huang, Hui Xue
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024, Full Paper, CCF Rank B Conference)
TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences [pdf][bib]
Huimin Chen, Chengyu Wang, Yanhao Wang, Cen Chen, Yinggui Wang
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024, Full Paper, CCF Rank B Conference)
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
Jianing Wang*, Chengyu Wang*, Chuanqi Tan, Jun Huang, Ming Gao
The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL (Findings) 2024, Full Paper, CCF Rank B Conference)
Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning [pdf][bib]
Mingyuan Fan, Yang Liu, Cen Chen, Chengyu Wang, Minghui Qiu, Wenmeng Zhou
The 17th ACM Conference on Web Search and Data Mining (WSDM 2024, Full Paper, CCF Rank B Conference)
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion [pdf][bib]
Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian
The 24th SIAM International Conference on Data Mining (SDM 2024, Full Paper, CCF Rank B Conference)
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning [pdf][bib]
Dongyang Li, Taolin Zhang, Longtao Huang, Chengyu Wang#, Xiaofeng He, Hui Xue
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024, Full Paper, CCF Rank B Conference)
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding [pdf][bib]
Dongyang Li, Taolin Zhang, Jiali Deng, Longtao Huang, Chengyu Wang#, Xiaofeng He, Hui Xue
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024, Full Paper, CCF Rank B Conference)
2023
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning [pdf][bib]
Ziyun Xu*, Chengyu Wang*, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang
The 16th ACM Conference on Web Search and Data Mining (WSDM 2023, Full Paper, CCF Rank B Conference)
BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis [pdf][bib]
Tingfeng Cao, Chengyu Wang#, Bingyan Liu, Ziheng Wu, Jinhui Zhu, Jun Huang
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023, Industry Track Full Paper, CCF Rank B Conference)
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling [pdf][bib]
Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou
The 37th AAAI Conference on Artificial Intelligence (AAAI 2023, Full Paper, CCF Rank A Conference)
Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost [pdf][bib]
Zhongjie Duan, Chengyu Wang, Cen Chen, Wenmeng Zhou, Jun Huang, Weining Qian
The Web Conference 2023 (TheWebConf 2023, Full Paper, CCF Rank A Conference), formerly known as the International World Wide Web Conference (WWW)
Boosting Prompt-based Few-shot Learners through Out-of-domain Knowledge Distillation [pdf][bib]
Xiaoqing Chen*, Chengyu Wang*, Junwei Dong, Minghui Qiu, Liang Feng, Jun Huang
The 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023, Full Paper, CCF Rank B Conference)
Prompt-Distiller: Few-shot Knowledge Distillation for Prompt-based Language Learners with Dual Contrastive Learning [pdf][bib]
Boyu Hou*, Chengyu Wang*, Xiaoqing Chen, Minghui Qiu, Liang Feng, Jun Huang
The 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023, Full Paper, CCF Rank B Conference)
XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding [pdf][bib]
Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian
The 61st Annual Meeting of the Association for Computational Linguistics (ACL (Findings) 2023, Short Paper, CCF Rank A Conference)
ConaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval [pdf][bib]
Jiapeng Wang, Chengyu Wang#, Xiaodan Wang, Jun Huang, Lianwen Jin
The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023, Industry Track Full Paper, CCF Rank A Conference)
Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension [pdf][bib]
Tingfeng Cao, Chengyu Wang#, Chuanqi Tan, Jun Huang, Jinhui Zhu
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP (Findings) 2023, Full Paper, CCF Rank B Conference)
FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph [pdf][bib]
Xiaodan Wang, Chengyu Wang, Lei Li, Zhixu Li, Ben Chen, Linbo Jin, Jun Huang, Yanghua Xiao, Ming Gao
The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023, Industry Track Full Paper, CCF Rank A Conference)
Optimal Linear Space Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models [pdf][bib]
Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian
The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023, Full Paper, CCF Rank B Conference)
Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning [pdf][bib]
Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian
The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023, Short Paper, CCF Rank B Conference)
From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models [pdf][bib]
Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP (Findings) 2023, Full Paper, CCF Rank B Conference)
Learning What to Ask: Mining Product Attributes for E-commerce Sales from Massive Dialogue Corpora [pdf][bib]
Yan Fan, Chengyu Wang, Fan Feng, Hengbin Cui, Yuchuan Wu, Yongbin Li
The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023, Demo Paper, CCF Rank B Conference)
ParaSum: A Contrastive Paraphrasing Framework for Low-resource Extractive Summarization [pdf][bib]
Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian
The 16th International Conference on Knowledge Science, Engineering and Management (KSEM 2023, Full Paper, CCF Rank C Conference)
UKT: A Unified Knowledgeable Tuning Framework for Chinese Information Extraction [pdf][bib]
Jiyong Zhou, Chengyu Wang#, Junbing Yan, Jianing Wang, Yukang Xie, Jun Huang, Ying Gao
The 12th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2023, Full Paper, CCF Rank C Conference)
On the Robustness of Split Learning against Adversarial Attacks [pdf][bib]
Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang
The 26th European Conference on Artificial Intelligence (ECAI 2023, Full Paper, CCF Rank B Conference)
Resizing Codebook of Vector Quantization Without Retraining [pdf][bib]
Lei Li, Tingting Liu, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou
Multimedia Systems (MS, Research Article, CCF Rank C Journal)
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding [pdf][bib]
Ruyao Xu, Taolin Zhang, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023, Full Paper, CCF Rank B Conference)
Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed [pdf][bib]
Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang#, Ziheng Wu, Zipeng Zhang, Kui Jia, Lianwen Jin, Cen Chen, Jun Huang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023, Industry Track Full Paper, CCF Rank A Conference)
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning [pdf][bib]
Zhen-Ru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023, Short Paper, CCF Rank A Conference)
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Natural Language Understanding [pdf][bib]
Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Xiang Li, Ming Gao, Jun Huang
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP (Findings) 2023, Full Paper, CCF Rank B Conference)
HugNLP: a Unified and Comprehensive Library for Natural Language Processing [pdf][bib]
Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao
The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023, Demo Paper, CCF Rank B Conference, CIKM 2013 Best Demo Award)
AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models [pdf][bib]
Xiaodan Wang, Lei Li, Zhixu Li, Xuwu Wang, Xiangru Zhu, Chengyu Wang, Jun Huang, Yanghua Xiao
The 16th ACM Conference on Web Search and Data Mining (WSDM 2023, Full Paper, CCF Rank B Conference)
A Customized Text Sanitization Mechanism with Differential Privacy [pdf][bib]
Huimin Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, Jamie Cui
The 61st Annual Meeting of the Association for Computational Linguistics (ACL (Findings) 2023, Full Paper, CCF Rank A Conference)
2022
ARoBERT: An ASR Robust Pre-trained Language Model for Spoken Language Understanding [pdf][bib] Chengyu Wang, Suyang Dai, Yipeng Wang, Fei Yang, Minghui Qiu, Kehan Chen, Wei Zhou, Jun Huang
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP 2022, Research Article, CCF Rank B Journal)
Building Natural Language Processing Applications with EasyNLP [pdf][bib][slides] Chengyu Wang, Minghui Qiu, Jun Huang
The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022, Industry Day Speaker Report, CCF Rank B Conference)
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing [pdf][bib] Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, Demo Paper, CCF Rank B Conference)
KECP: Knowledge-Enhanced Contrastive Prompting for Few-shot Extractive Question Answering [pdf][bib]
Jianing Wang*, Chengyu Wang*, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, Full Paper, CCF Rank B Conference)
SpanProto: A Two-stage Span-based Prototypical Network For Few-shot Named Entity Recognition [pdf][bib]
Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, Full Paper, CCF Rank B Conference)
Towards Unified Prompt Tuning for Few-shot Text Classification [pdf][bib]
Jianing Wang*, Chengyu Wang*, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP (Findings) 2022, Full Paper, CCF Rank B Conference)
ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge [pdf][bib]
Tingting Liu*, Chengyu Wang*, Xiangru Zhu, Lei Li, Minghui Qiu, Ming Gao, Yanghua Xiao, Jun Huang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP (Findings) 2022, Short Paper, CCF Rank B Conference)
DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding [pdf][bib]
Taolin Zhang*, Chengyu Wang*, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang
The 36th AAAI Conference on Artificial Intelligence (AAAI 2022, Full Paper, CCF Rank A Conference)
Building Multi-turn Query Interpreters for E-commercial Chatbots with Sparse-to-dense Attentive Modeling [pdf][bib]
Yan Fan, Chengyu Wang, Peng He, Yunhua Hu
The 15th ACM Conference on Web Search and Data Mining (WSDM 2022, Demo Paper, CCF Rank B Conference)
Quantized Winograd Acceleration for Conv1D Equipped ASR Models on Mobile Devices [pdf][bib]
Yiwu Yao*, Chengyu Wang*, Jun Huang
The 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022, Full Paper, CCF Rank B Conference)
Understanding Long Programming Languages with Semantics-Aware Sparse Attention [pdf][bib]
Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022, Short Paper, CCF Rank A Conference)
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression [pdf][bib]
Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang
The 36th AAAI Conference on Artificial Intelligence (AAAI 2022, Full Paper, CCF Rank A Conference)
Enhancing Seq2seq Math Word Problem Solver with Entity Information and Math Knowledge [pdf][bib]
Lei Li, Dongxiang Zhang, Chengyu Wang, Cheqing Jin, Ming Gao, Aoying Zhou
The 23rd International Conference on Web Information Systems Engineering (WISE 2022, Full Paper, CCF Rank C Conference)
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training [pdf][bib]
Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang#, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, Industry Track Full Paper, CCF Rank B Conference)
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction [pdf][bib]
Dongyang Li, Taolin Zhang, Nan Hu, Chengyu Wang, Xiaofeng He
The 60th Annual Meeting of the Association for Computational Linguistics (ACL (Findings) 2022, Full Paper, CCF Rank A Conference)
2021
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification [pdf][bib][slides] Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He
The 35th AAAI Conference on Artificial Intelligence (AAAI 2021, Full Paper, CCF Rank A Conference)
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition [pdf][bib][slides] Chengyu Wang, Mengli Cheng, Xu Hu, Jun Huang
The 35th AAAI Conference on Artificial Intelligence (AAAI 2021, Demo Paper, CCF Rank A Conference)
Meta Distant Transfer Learning for Pre-trained Language Models [pdf][bib][slides] Chengyu Wang, Haojie Pan, Minghui Qiu, Jun Huang, Fei Yang, Yin Zhang
The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021, Full Paper, CCF Rank B Conference)
TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification [pdf][bib][slides] Chengyu Wang*, Jianing Wang*, Minghui Qiu, Jun Huang, Ming Gao
The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021, Full Paper, CCF Rank B Conference)
MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning [pdf][bib][slides][poster] Chengyu Wang*, Haojie Pan*, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021, Industry Track Full Paper, CCF Rank A Conference)
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains [pdf][bib][slides]
Haojie Pan*, Chengyu Wang*, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021, Full Paper, CCF Rank A Conference)
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources [pdf][bib]
Taolin Zhang*, Chengyu Wang*, Minghui Qiu, Bite Yang, Zerui Cai, Xiaofeng He, Jun Huang
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP (Findings) 2021, Full Paper, CCF Rank A Conference)
Weakly Supervised Construction of ASR Systems from Massive Video Data [pdf][bib]
Mengli Cheng*, Chengyu Wang*, Jun Huang, Xiaobo Wang
The 22nd Annual Conference of the International Speech Communication Association (Interspeech 2021, Full Paper, CCF Rank C Conference)
Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems [pdf][bib]
Cen Chen, Chengyu Wang, Minghui Qiu, Dehong Gao, Linbo Jin, Li Wang
The Web Conference 2021 (TheWebConf 2021, Full Paper, CCF Rank A Conference), formerly known as the International World Wide Web Conference (WWW)
When Few-shot Learning Meets Large-scale Knowledge-enhanced Pre-training: Alibaba at FewCLUE [pdf][bib]
Ziyun Xu, Chengyu Wang, Peng Li, Yang Li, Ming Wang, Boyu Hou, Minghui Qiu, Chengguang Tang, Jun Huang
The 10th CCF International Conference on Natural Language Processing and Chinese Computing (NPLCC 2021, Contest Report, CCF Rank C Conference, First Place in NLPCC 2021 Shared Task 2: FewCLUE)
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining [pdf][bib]
Taolin Zhang, Zerui Cai, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021, Full Paper, CCF Rank A Conference)
EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications [pdf][bib]
Minghui Qiu, Peng Li*, Chengyu Wang*, Haojie Pan*, Ang Wang, Xianyan Jia, Le Jiang, Yaliang Li, Jun Huang, Jun Yang, Lin Wang, Deng Cai, Wei Lin
The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021, Full Paper, CCF Rank B Conference)
HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources [pdf][bib]
Taolin Zhang, Zerui Cai, Chengyu Wang, Peng Li, Yang Li, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang
The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021, Full Paper, CCF Rank B Conference)
Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations [pdf][bib]
Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang, Haiqing Chen
The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021, Full Paper, CCF Rank B Conference)
UnClE: Explicitly Leveraging Semantic Similarity to Compress Word Embeddings [pdf][bib]
Zhi Li, Yuchen Zhai, Chengyu Wang, Minghui Qiu, Kailiang Li, Yin Zhang
The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP (Findings) 2021, Full Paper, CCF Rank B Conference)
EMBERT: A Pre-trained Language Model for Chinese Medical Text Mining [pdf][bib]
Zerui Cai, Taolin Zhang, Chengyu Wang, Xiaofeng He
The 5th APWeb-WAIM Joint Conference on Web and Big Data (APWeb-WAIM 2021, Full Paper, CCF Rank C Conference)
CAT-BERT: A Context-Aware Transferable BERT Model for Multi-Turn Machine Reading Comprehension [pdf][bib]
Cen Chen, Xinjing Huang, Feng Ji, Chengyu Wang, Minghui Qiu, Jun Huang, Yin Zhang
The 26th International Conference on Database Systems for Advanced Applications (DASFAA 2021, Full Paper, CCF Rank B Conference)
2020
Algorithmic Studies on Relation Extraction from Chinese Short Texts (in Chinese with English abstract) [pdf][slides (long)][slides (short)][project] Chengyu Wang (Supervisor: Xiaofeng He)
Ph.D. Thesis (School of Software Engineering, East China Normal University)
BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection [pdf][bib][slides] Chengyu Wang, Xiaofeng He
The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020, Full Paper, CCF Rank A Conference)
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining [pdf][bib][slides] Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He
The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020, Full Paper, CCF Rank B Conference)
Debiasing Learning to Rank Models with Generative Adversarial Networks [pdf][bib]
Hui Cai, Chengyu Wang, Xiaofeng He
The 4th APWeb-WAIM Joint Conference on Web and Big Data (APWeb-WAIM 2020, Full Paper, CCF Rank C Conference)
2019
SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings [pdf][bib][slides][code] Chengyu Wang, Xiaofeng He, Aoying Zhou
The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019, Full Paper, CCF Rank A Conference)
Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning [pdf][bib][spotlight][poster][code] Chengyu Wang, Xiaofeng He, Aoying Zhou
The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019, Full Paper, CCF Rank A Conference)
A Family of Fuzzy Orthogonal Projection Models for Monolingual and Cross-lingual Hypernymy Prediction [pdf][bib][slides][poster][code][data] Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou
The Web Conference 2019 (TheWebConf 2019, Full Paper, CCF Rank A Conference), formerly known as the International World Wide Web Conference (WWW)
Open Relation Extraction for Chinese Noun Phrases [pdf][bib] Chengyu Wang, Xiaofeng He, Aoying Zhou
IEEE Transactions on Knowledge and Data Engineering (TKDE, Research Article, CCF Rank A Journal)
HEEL: Exploratory Entity Linking for Heterogeneous Information Networks [pdf][bib][code] Chengyu Wang, Xiaofeng He, Aoying Zhou
Knowledge and Information Systems (KAIS, Research Article, CCF Rank B Journal)
Word Embedding Projection Models for Hypernymy Relation Prediction (in Chinese with English abstract) [pdf] Chengyu Wang, Xiaofeng He, Xueqing Gong, Aoying Zhou
Chinese Journal of Computers (CJC, Research Article)
Idiomaticity Prediction of Chinese Noun Compounds and Its Applications [pdf][bib][data] Chengyu Wang, Yan Fan, Xiaofeng He, Hongyuan Zha, Aoying Zhou
IEEE Access (IEEE ACCESS, Research Article)
SPMM: A Soft Piecewise Mapping Model for Bilingual Lexicon Induction [pdf][bib]
Yan Fan, Chengyu Wang, Boxing Chen, Zhongkai Hu, Xiaofeng He
The 19th SIAM International Conference on Data Mining (SDM 2019, Full Paper, CCF Rank B Conference)
2018
Predicting Hypernym-Hyponym Relations for Chinese Taxonomy Learning [pdf][bib] Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou
Knowledge and Information Systems (KAIS, Research Article, CCF Rank B Journal)
Decoding Chinese User Generated Categories for Fine-grained Knowledge Harvesting [pdf][bib][code][data] Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou
IEEE Transactions on Knowledge and Data Engineering (TKDE, Research Article, CCF Rank A Journal)
Exploratory Neural Relation Classification for Domain Knowledge Acquisition [pdf][bib][slides][data]
Yan Fan, Chengyu Wang, Xiaofeng He
The 27th International Conference on Computational Linguistics (COLING 2018, Full Paper, CCF Rank B Conference)
Improving Clinical Named Entity Recognition with Global Neural Attention [pdf][bib]
Guohai Xu, Chengyu Wang, Xiaofeng He
The 2nd APWeb-WAIM Joint Conference on Web and Big Data (APWeb-WAIM 2018, Full Paper, CCF Rank C Conference)
2017
Transductive Non-linear Learning for Chinese Hypernym Prediction [pdf][bib][poster][code][data] Chengyu Wang, Junchi Yan, Aoying Zhou, Xiaofeng He
The 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017, Full Paper, CCF Rank A Conference)
Learning Fine-grained Relations from Chinese User Generated Categories [pdf][bib][poster][code][data] Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou
The 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017, Full Paper, CCF Rank B Conference)
A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances [pdf][bib][poster] Chengyu Wang, Xiaofeng He, Aoying Zhou
The 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017, Full Paper, CCF Rank B Conference)
Event Phase Oriented News Summarization [pdf][bib] Chengyu Wang, Xiaofeng He, Aoying Zhou
World Wide Web: Internet and Web Information Systems (WWWJ, Research Article, CCF Rank B Journal)
NERank+: A Graph-based Approach for Entity Ranking in Document Collections [pdf][bib] Chengyu Wang, Guomin Zhou, Xiaofeng He, Aoying Zhou
Frontiers of Computer Science (FCS, Research Article, CCF Rank B Journal)
DKGBuilder: An Architecture for Building a Domain Knowledge Graph from Scratch [pdf][bib][poster][data]
Yan Fan, Chengyu Wang, Guomin Zhou, Xiaofeng He
The 22nd International Conference on Database Systems for Advanced Applications (DASFAA 2017, Demo Paper, CCF Rank B Conference)
BiUCB: A Contextual Bandit Algorithm for Cold-Start and Diversified Recommendation [pdf][bib]
Lu Wang, Chengyu Wang, Keqiang Wang, Xiaofeng He
The 8th IEEE International Conference on Big Knowledge (ICBK 2017, Full Paper)
A Transfer Learning based Boosting Model for Emotion Analysis [pdf][bib]
Ruolan Yong, Chengyu Wang, Xiaofeng He
The 8th IEEE International Conference on Big Knowledge (ICBK 2017, Full Paper)
A Hybrid Abnormal Advertising Traffic Detection Method [pdf][bib]
Kun Wang, Guohai Xu, Chengyu Wang, Xiaofeng He
The 8th IEEE International Conference on Big Knowledge (ICBK 2017, Full Paper)
2016
Chinese Hypernym-Hyponym Extraction from User Generated Categories [pdf][bib][slides][code] Chengyu Wang, Xiaofeng He
The 26th International Conference on Computational Linguistics (COLING 2016, Full Paper, CCF Rank B Conference)
Error Link Detection and Correction in Wikipedia [pdf][bib][slides] Chengyu Wang, Rong Zhang, Xiaofeng He, Aoying Zhou
The 25th ACM International Conference on Information and Knowledge Management (CIKM 2016, Full Paper, CCF Rank B Conference)
NERank: Ranking Named Entities in Document Collections [pdf][bib][poster] Chengyu Wang, Rong Zhang, Xiaofeng He, Aoying Zhou
The 25th World Wide Web Conference (WWW 2016, Poster Paper, CCF Rank A Conference)
Event Phase Extraction and Summarization [pdf][bib][slides] Chengyu Wang, Rong Zhang, Xiaofeng He, Guomin Zhou, Aoying Zhou
The 17th International Conference on Web Information Systems Engineering (WISE 2016, Full Paper, CCF Rank C Conference, Best Paper Nominee)
NERank: Bringing Order to Named Entities from Texts [pdf][bib][slides] Chengyu Wang, Rong Zhang, Xiaofeng He, Guomin Zhou, Aoying Zhou
The 18th Asia Pacific Web Conference (APWeb 2016, Full Paper, CCF Rank C Conference)
A Retrospective of Knowledge Graphs [pdf][bib]
Jihong Yan, Chengyu Wang, Wenliang Cheng, Ming Gao, Aoying Zhou
Frontiers of Computer Science (FCS, Review Article, CCF Rank B Journal)
SNExtractor: A Prototype for Extracting Semantic Networks from Web Documents [pdf][bib]
Chi Zhang, Yanhua Wang, Chengyu Wang, Wenliang Cheng, Xiaofeng He
The 17th International Conference on Web-Age Information Management (WAIM 2016, Demo Paper, CCF Rank C Conference)
Chinese Taxonomy Construction and Search System (in Chinese with English abstract) [pdf]
Jinyang Li, Yanhua Wang, Yan Fan, Chengyu Wang, Rong Zhang, Xiaofeng He
Journal of Computer Applications (JCA, Demo Paper)
2015
Challenges in Chinese Knowledge Graph Construction [pdf][bib][slides] Chengyu Wang, Ming Gao, Xiaofeng He, Rong Zhang
The 6th International Workshop on Data Engineering meets the Semantic Web (DESWeb 2015, ICDE Workshop Paper)
On Statistical Characteristics of Real-life Knowledge Graphs [pdf][bib]
Wenliang Cheng, Chengyu Wang, Bing Xiao, Weining Qian, Aoying Zhou
The 6th International Workshop on Big data benchmarks, Performance, Optimization and Emerging hardware (BPOE 2015, VLDB Workshop Paper)
User Generated Content Oriented Chinese Taxonomy Construction [pdf][bib][taxonomy]
Jinyang Li, Chengyu Wang, Xiaofeng He, Rong Zhang, Ming Gao
The 17th Asia Pacific Web Conference (APWeb 2015, Full Paper, CCF Rank C Conference)
Optimizing Word Set Coverage for Multi-event Summarization [pdf][bib]
Jihong Yan, Wenliang Cheng, Chengyu Wang, Jun Liu, Ming Gao, Aoying Zhou
Journal of Combinatorial Optimization (JCO, Research Article)
On the Rise and Fall of Sina Weibo: Analysis Based on a Fixed User Group [pdf][bib]
Fan Xia, Qunyan Zhang, Chengyu Wang, Weining Qian, Aoying Zhou
The 1st International Workshop on Scalable Social Event Processing and Management (SSEPM 2015, ICDE Workshop Paper)
Cross-Lingual Entity Query from Large-Scale Knowledge Graphs [pdf][bib]
Yonghao Su, Chi Zhang, Jinyang Li, Chengyu Wang, Weining Qian, Aoying Zhou
The 2nd International Workshop on Web Data Mining and Applications (WDMA 2015, APWeb Workshop Paper)
2014
TaxiHailer: A Situation-Specific Taxi Pick-Up Points Recommendation System [pdf][bib][poster][video]
Leyi Song, Chengyu Wang, Xiaoyi Duan, Bing Xiao, Xiao Liu, Rong Zhang, Xiaofeng He, Xueqing Gong
The 19th International Conference on Database Systems for Advanced Applications (DASFAA 2014, Demo Paper, CCF Rank B Conference)
2013
Predicting Users’ Age Range in Micro-blog Network [pdf][bib] Chengyu Wang, Bing Xiao, Xiang Li, Jiawen Zhu, Xiaofeng He, Rong Zhang
The 14th International Conference on Web Information Systems Engineering (WISE 2013, Contest Report, CCF Rank C Conference, WISE 2013 Challenge Runner-up Award)
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