Selected Publications

* denotes equal contribution. # denotes (co-)corresponding author. Full publication list can be found in Google Scholar.

Journal Articles

  • Mingyuan Fan, Cen Chen, Chengyu Wang, Jun Huang. Exploiting Pre-Trained Models and Low-Frequency Preference for Cost-Effective Transfer-based Attack. ACM Transactions on Knowledge Discovery from Data (TKDD, CCF-B)
  • Lei Li, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou. Accelerating BERT Inference with GPU-Efficient Exit Prediction. Frontiers of Computer Science (FCS 2024, CCF-B) [pdf][bib]
  • Chengyu Wang, Suyang Dai, Yipeng Wang, Fei Yang, Minghui Qiu, Kehan Chen, Wei Zhou, Jun Huang. ARoBERT: An ASR Robust Pre-trained Language Model for Spoken Language Understanding. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP 2022, CCF-B) [pdf][bib]
  • Chengyu Wang, Xiaofeng He, Aoying Zhou. Open Relation Extraction for Chinese Noun Phrases. IEEE Transactions on Knowledge and Data Engineering (TKDE 2021, CCF-A) [pdf][bib]
  • Chengyu Wang, Xiaofeng He, Aoying Zhou. HEEL: Exploratory Entity Linking for Heterogeneous Information Networks. Knowledge and Information Systems (KAIS 2020, CCF-B) [pdf][bib][code]
  • Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou. Predicting Hypernym-Hyponym Relations for Chinese Taxonomy Learning. Knowledge and Information Systems (KAIS 2019, CCF-B) [pdf][bib]
  • Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou. Decoding Chinese User Generated Categories for Fine-grained Knowledge Harvesting. IEEE Transactions on Knowledge and Data Engineering (TKDE 2019, CCF-A) [pdf][bib][code][data]
  • Chengyu Wang, Xiaofeng He, Aoying Zhou. Event Phase Oriented News Summarization. World Wide Web: Internet and Web Information Systems (WWWJ 2018, CCF-B) [pdf][bib]
  • Chengyu Wang, Guomin Zhou, Xiaofeng He, Aoying Zhou. NERank+: A Graph-based Approach for Entity Ranking in Document Collections. Frontiers of Computer Science (FCS 2018, CCF-B) [pdf][bib]
  • Jihong Yan, Chengyu Wang, Wenliang Cheng, Ming Gao, Aoying Zhou. A Retrospective of Knowledge Graphs. Frontiers of Computer Science (FCS 2018, CCF-B) [pdf][bib]

Conference Papers

2024
  • Jiapeng Wang, Chengyu Wang#, Kunzhe Huang, Jun Huang, Lianwen Jin#. VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024, CCF-B)
  • Qizhou Chen, Taolin Zhang, Xiaofeng He#, Dongyang Li, Chengyu Wang#, Longtao Huang, Hui Xue. Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024, CCF-B)
  • Yuanhao Yue, Chengyu Wang#, Jun Huang, Peng Wang#. Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP (Findings) 2024, CCF-B)
  • Bingyan Liu, Chengyu Wang#, Jun Huang, Kui Jia#. Attentive Linguistic Tracking in Diffusion Models for Training-free Text-guided Image Editing. The 32nd ACM Multimedia Conference (ACM MM 2024, CCF-A)
  • Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang#, Longtao Huang, Hui Xue, Xiaofeng He#, Jun Huang. R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models. The 27th European Conference on Artificial Intelligence (ECAI 2024, CCF-B)
  • Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang. PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024, CCF-A) [pdf][bib]
  • Dongyang Li, Junbing Yan, Taolin Zhang, Chengyu Wang#, Xiaofeng He#, Longtao Huang, Hui Xue, Jun Huang. On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024, CCF-A) [pdf][bib]
  • Jiapeng Wang, Chengyu Wang#, Tingfeng Cao, Jun Huang, Lianwen Jin#. DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL (Findings) 2024, CCF-A) [pdf][bib]
  • Taolin Zhang, Qizhou Chen, Dongyang Li, Chengyu Wang#, Xiaofeng He#, Longtao Huang, Hui Xue, Jun Huang. DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL (Findings) 2024, CCF-A) [pdf][bib]
  • Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang. DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2024 (ECML-PKDD 2024, CCF-B) [pdf][bib]
  • Jianing Wang*, Chengyu Wang*, Chuanqi Tan, Jun Huang, Ming Gao. Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning. The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL (Findings) 2024, CCF-B) [pdf][bib]
  • Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang. Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024, CCF-A) [pdf][bib]
  • Bingyan Liu, Chengyu Wang#, Tingfeng Cao, Kui Jia#, Jun Huang. Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024, CCF-A) [pdf][bib]
  • Junbing Yan, Chengyu Wang#, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang#, Longtao Huang, Hui Xue. TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024, CCF-B) [pdf][bib]
  • Huimin Chen, Chengyu Wang, Yanhao Wang, Cen Chen, Yinggui Wang. TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024, CCF-B) [pdf][bib]
  • Dongyang Li, Taolin Zhang, Longtao Huang, Chengyu Wang#, Xiaofeng He#, Hui Xue. KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024, CCF-B) [pdf][bib]
  • Dongyang Li, Taolin Zhang, Jiali Deng, Longtao Huang, Chengyu Wang#, Xiaofeng He#, Hui Xue. UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024, CCF-B) [pdf][bib]
  • Jiayi Wang, Ke Wang, Fengming Zhou, Chengyu Wang, Zhiyong Fu, Zeyu Feng, Yu Zhou, Yuqi Zhang. Synslator: An Interactive Machine Translation Tool with Online Learning. The Web Conference 2024 (TheWebConf 2024, CCF-A) [pdf][bib]
  • Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian. DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. The 24th SIAM International Conference on Data Mining (SDM 2024, CCF-B) [pdf][bib]
  • Yukang Xie, Chengyu Wang#, Junbing Yan, Jiyong Zhou, Feiqi Deng#, Jun Huang. Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters. The 17th ACM Conference on Web Search and Data Mining (WSDM 2024, CCF-B) [pdf][bib]
  • Mingyuan Fan, Yang Liu, Cen Chen, Chengyu Wang, Minghui Qiu, Wenmeng Zhou. Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning. The 17th ACM Conference on Web Search and Data Mining (WSDM 2024, CCF-B) [pdf][bib]
2023
  • Tingfeng Cao, Chengyu Wang#, Bingyan Liu, Ziheng Wu, Jinhui Zhu#, Jun Huang. BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023, CCF-B) [pdf][bib]
  • Tingfeng Cao, Chengyu Wang#, Chuanqi Tan, Jun Huang, Jinhui Zhu#. Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP (Findings) 2023, CCF-B) [pdf][bib]
  • Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang. From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP (Findings) 2023, CCF-B) [pdf][bib]
  • Ruyao Xu, Taolin Zhang, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian. Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023, CCF-B) [pdf][bib]
  • Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Xiang Li, Ming Gao, Jun Huang. Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Natural Language Understanding. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP (Findings) 2023, CCF-B) [pdf][bib]
  • Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian. Optimal Linear Space Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023, CCF-B) [pdf][bib]
  • Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian. Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning. The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023, CCF-B) [pdf][bib]
  • Yan Fan, Chengyu Wang, Fan Feng, Hengbin Cui, Yuchuan Wu, Yongbin Li. Learning What to Ask: Mining Product Attributes for E-commerce Sales from Massive Dialogue Corpora. The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023, CCF-B) [pdf][bib]
  • Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao. HugNLP: a Unified and Comprehensive Library for Natural Language Processing. The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023, CCF-B, CIKM 2013 Best Demo Award) [pdf][bib]
  • Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang. On the Robustness of Split Learning against Adversarial Attacks. The 26th European Conference on Artificial Intelligence (ECAI 2023, CCF-B) [pdf][bib]
  • Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian. XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding. The 61st Annual Meeting of the Association for Computational Linguistics (ACL (Findings) 2023, CCF-A) [pdf][bib]
  • Jiapeng Wang, Chengyu Wang#, Xiaodan Wang, Jun Huang, Lianwen Jin#. ConaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval. The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023, CCF-A) [pdf][bib]
  • Xiaodan Wang, Chengyu Wang, Lei Li, Zhixu Li, Ben Chen, Linbo Jin, Jun Huang, Yanghua Xiao, Ming Gao. FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph. The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023, CCF-A). [pdf][bib]
  • Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang#, Ziheng Wu, Zipeng Zhang, Kui Jia#, Lianwen Jin, Cen Chen, Jun Huang. Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed. The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023, CCF-A) [pdf][bib]
  • Zhen-Ru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang. Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning. The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023, CCF-A) [pdf][bib]
  • Huimin Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, Jamie Cui. A Customized Text Sanitization Mechanism with Differential Privacy. The 61st Annual Meeting of the Association for Computational Linguistics (ACL (Findings) 2023, CCF-A) [pdf][bib]
  • Xiaoqing Chen*, Chengyu Wang*, Junwei Dong, Minghui Qiu, Liang Feng, Jun Huang. Boosting Prompt-based Few-shot Learners through Out-of-domain Knowledge Distillation. The 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023, CCF-B) [pdf][bib]
  • Boyu Hou*, Chengyu Wang*, Xiaoqing Chen, Minghui Qiu, Liang Feng, Jun Huang. Prompt-Distiller: Few-shot Knowledge Distillation for Prompt-based Language Learners with Dual Contrastive Learning. The 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023, CCF-B) [pdf][bib]
  • Zhongjie Duan, Chengyu Wang, Cen Chen, Wenmeng Zhou, Jun Huang, Weining Qian. Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost. The Web Conference 2023 (TheWebConf 2023, CCF-A) [pdf][bib]
  • Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou. Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling. The 37th AAAI Conference on Artificial Intelligence (AAAI 2023, CCF-A) [pdf][bib]
  • Ziyun Xu*, Chengyu Wang*, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang. Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. The 16th ACM Conference on Web Search and Data Mining (WSDM 2023, CCF-B) [pdf][bib]
  • Xiaodan Wang, Lei Li, Zhixu Li, Xuwu Wang, Xiangru Zhu, Chengyu Wang, Jun Huang, Yanghua Xiao. AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models. The 16th ACM Conference on Web Search and Data Mining (WSDM 2023, CCF-B) [pdf][bib]
2022
  • Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin. EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, CCF-B) [pdf][bib]
  • Jianing Wang*, Chengyu Wang*, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao. KECP: Knowledge-Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, CCF-B) [pdf][bib]
  • Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao. SpanProto: A Two-stage Span-based Prototypical Network For Few-shot Named Entity Recognition. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, CCF-B) [pdf][bib]
  • Jianing Wang*, Chengyu Wang*, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao. Towards Unified Prompt Tuning for Few-shot Text Classification. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP (Findings) 2022, CCF-B) [pdf][bib]
  • Tingting Liu*, Chengyu Wang*, Xiangru Zhu, Lei Li, Minghui Qiu, Ming Gao, Yanghua Xiao, Jun Huang. ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP (Findings) 2022, CCF-B) [pdf][bib]
  • Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang#, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He. Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, CCF-B) [pdf][bib]
  • Chengyu Wang, Minghui Qiu, Jun Huang. Building Natural Language Processing Applications with EasyNLP. The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022, CCF-B) [pdf][bib][slides]
  • Dongyang Li, Taolin Zhang, Nan Hu, Chengyu Wang, Xiaofeng He. HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction. The 60th Annual Meeting of the Association for Computational Linguistics (ACL (Findings) 2022, CCF-A) [pdf][bib]
  • Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou. Understanding Long Programming Languages with Semantics-Aware Sparse Attention. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022, CCF-A) [pdf][bib]
  • Yiwu Yao*, Chengyu Wang*, Jun Huang. Quantized Winograd Acceleration for Conv1D Equipped ASR Models on Mobile Devices. The 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022, CCF-B) [pdf][bib]
  • Taolin Zhang*, Chengyu Wang*, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang. DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding. The 36th AAAI Conference on Artificial Intelligence (AAAI 2022, CCF-A). [pdf][bib]
  • Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang. From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. The 36th AAAI Conference on Artificial Intelligence (AAAI 2022, CCF-A) [pdf][bib]
  • Yan Fan, Chengyu Wang, Peng He, Yunhua Hu. Building Multi-turn Query Interpreters for E-commercial Chatbots with Sparse-to-dense Attentive Modeling. The 15th ACM Conference on Web Search and Data Mining (WSDM 2022, CCF-B) [pdf][bib]
2021
  • Chengyu Wang, Haojie Pan, Minghui Qiu, Jun Huang, Fei Yang, Yin Zhang. Meta Distant Transfer Learning for Pre-trained Language Models. The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021, CCF-B) [pdf][bib][slides]
  • Chengyu Wang*, Jianing Wang*, Minghui Qiu, Jun Huang, Ming Gao. TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification. The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021, CCF-B) [pdf][bib][slides]
  • Zhi Li, Yuchen Zhai, Chengyu Wang, Minghui Qiu, Kailiang Li, Yin Zhang. UnClE: Explicitly Leveraging Semantic Similarity to Compress Word Embeddings. The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP (Findings) 2021, CCF-B) [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. EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021, CCF-B) [pdf][bib]
  • Taolin Zhang, Zerui Cai, Chengyu Wang, Peng Li, Yang Li, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang. HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources. The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021, CCF-B) [pdf][bib]
  • Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang, Haiqing Chen. Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations. The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021, CCF-B) [pdf][bib]
  • Chengyu Wang*, Haojie Pan*, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai. MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning. The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021, CCF-A) [pdf][bib][slides][poster]
  • Haojie Pan*, Chengyu Wang*, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang. Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains. 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, CCF-A) [pdf][bib][slides]
  • Taolin Zhang, Zerui Cai, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He. SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining. 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, CCF-A) [pdf][bib]
  • Taolin Zhang*, Chengyu Wang*, Minghui Qiu, Bite Yang, Zerui Cai, Xiaofeng He, Jun Huang. Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources. 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, CCF-A) [pdf][bib]
  • Cen Chen, Xinjing Huang, Feng Ji, Chengyu Wang, Minghui Qiu, Jun Huang, Yin Zhang. CAT-BERT: A Context-Aware Transferable BERT Model for Multi-Turn Machine Reading Comprehension. The 26th International Conference on Database Systems for Advanced Applications (DASFAA 2021, CCF-B) [pdf][bib]
  • Cen Chen, Chengyu Wang, Minghui Qiu, Dehong Gao, Linbo Jin, Li Wang. Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems. The Web Conference 2021 (TheWebConf 2021, CCF-A). [pdf][bib]
  • Chengyu Wang, Mengli Cheng, Xu Hu, Jun Huang. EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition. The 35th AAAI Conference on Artificial Intelligence (AAAI 2021, CCF-A) [pdf][bib][slides]
  • Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He. KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification. The 35th AAAI Conference on Artificial Intelligence (AAAI 2021, CCF-A) [pdf][bib][slides]
Before 2020
  • Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He. Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining. The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020, CCF-B) [pdf][bib][slides]
  • Chengyu Wang, Xiaofeng He. BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection. The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020, CCF-A) [pdf][bib][slides]
  • Chengyu Wang, Xiaofeng He, Aoying Zhou. SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings. The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019, CCF-A) [pdf][bib][slides][code]
  • Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou. A Family of Fuzzy Orthogonal Projection Models for Monolingual and Cross-lingual Hypernymy Prediction. The Web Conference 2019 (TheWebConf 2019, CCF-A) [pdf][bib][slides][poster][code][data]
  • Yan Fan, Chengyu Wang, Boxing Chen, Zhongkai Hu, Xiaofeng He. SPMM: A Soft Piecewise Mapping Model for Bilingual Lexicon Induction. The 19th SIAM International Conference on Data Mining (SDM 2019, CCF-B) [pdf][bib]
  • Chengyu Wang, Xiaofeng He, Aoying Zhou. Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning. The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019, CCF-A) [pdf][bib][spotlight][poster][code]
  • Yan Fan, Chengyu Wang, Xiaofeng He. Exploratory Neural Relation Classification for Domain Knowledge Acquisition. The 27th International Conference on Computational Linguistics (COLING 2018, CCF-B) [pdf][bib][slides][data]
  • Chengyu Wang, Junchi Yan, Aoying Zhou, Xiaofeng He. Transductive Non-linear Learning for Chinese Hypernym Prediction. The 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017, CCF-A) [pdf][bib][poster][code][data]
  • Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou. Learning Fine-grained Relations from Chinese User Generated Categories. The 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017, CCF-B). [pdf][bib][poster][code][data]
  • Chengyu Wang, Xiaofeng He, Aoying Zhou. A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances. The 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017, CCF-B) [pdf][bib][poster]
  • Yan Fan, Chengyu Wang, Guomin Zhou, Xiaofeng He. DKGBuilder: An Architecture for Building a Domain Knowledge Graph from Scratch. The 22nd International Conference on Database Systems for Advanced Applications (DASFAA 2017, CCF-B) [pdf][bib][poster][data]
  • Chengyu Wang, Xiaofeng He. Chinese Hypernym-Hyponym Extraction from User Generated Categories. The 26th International Conference on Computational Linguistics (COLING 2016, CCF-B) [pdf][bib][slides][code]
  • Chengyu Wang, Rong Zhang, Xiaofeng He, Aoying Zhou. Error Link Detection and Correction in Wikipedia. The 25th ACM International Conference on Information and Knowledge Management (CIKM 2016, CCF-B). [pdf][bib][slides]
  • Chengyu Wang, Rong Zhang, Xiaofeng He, Aoying Zhou. NERank: Ranking Named Entities in Document Collections. The 25th World Wide Web Conference (WWW 2016, CCF-A) [pdf][bib][poster]
  • Leyi Song, Chengyu Wang, Xiaoyi Duan, Bing Xiao, Xiao Liu, Rong Zhang, Xiaofeng He, Xueqing Gong. TaxiHailer: A Situation-Specific Taxi Pick-Up Points Recommendation System. The 19th International Conference on Database Systems for Advanced Applications (DASFAA 2014, CCF-B) [pdf][bib][poster][video]

Acknowledgements The papers and resources are for non-commercial use only. If you find them useful, please consider citing the relevant papers in your research. The copyrights of these papers are held by their respective authors or publishers.