Selected Publications

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

Conference Papers

2025

• [C86] Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud
  Yuanhao Yue, Chengyu Wang#, Jun Huang, Peng Wang#
  The 31st International Conference on Computational Linguistics (COLING 2025, CCF-B)

2024

• [C85] VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models [pdf][bib]
  Jiapeng Wang, Chengyu Wang#, Kunzhe Huang, Jun Huang, Lianwen Jin#
  The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024, CCF-B)


• [C84] Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning [pdf][bib]
  Qizhou Chen, Taolin Zhang, Xiaofeng He, Dongyang Li, Chengyu Wang#, Longtao Huang, Hui Xue
  The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024, CCF-B)


• [C83] Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning [pdf][bib]
  Yuanhao Yue, Chengyu Wang#, Jun Huang, Peng Wang#
  The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP (Findings) 2024, CCF-B)


• [C82] Attentive Linguistic Tracking in Diffusion Models for Training-free Text-guided Image Editing [pdf][bib]
  Bingyan Liu, Chengyu Wang#, Jun Huang, Kui Jia#
  The 32nd ACM Multimedia Conference (ACM MM 2024, CCF-A)


• [C81] R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models [pdf][bib]
  Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang#, Longtao Huang, Hui Xue, Xiaofeng He#, Jun Huang
  The 27th European Conference on Artificial Intelligence (ECAI 2024, CCF-B)


• [C80] PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud [pdf][bib]
  Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang
  The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024, CCF-A)


• [C79] On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models [pdf][bib]
  Dongyang Li, Junbing Yan, Taolin Zhang, Chengyu Wang#, Xiaofeng He#, Longtao Huang, Hui Xue, Jun Huang
  The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024, CCF-A)


• [C78] DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation [pdf][bib]
  Jiapeng Wang, Chengyu Wang#, Tingfeng Cao, Jun Huang, Lianwen Jin#
  The 62nd Annual Meeting of the Association for Computational Linguistics (ACL (Findings) 2024, CCF-A)


• [C77] DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models [pdf][bib]
  Taolin Zhang, Qizhou Chen, Dongyang Li, Chengyu Wang#, Xiaofeng He#, Longtao Huang, Hui Xue, Jun Huang
  The 62nd Annual Meeting of the Association for Computational Linguistics (ACL (Findings) 2024, CCF-A)


• [C76] DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis [pdf][bib]
  Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang
  The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2024 (ECML-PKDD 2024, CCF-B)


• [C75] Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning [pdf][bib]
  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, CCF-B)


• [C74] Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models [pdf][bib]
  Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang
  The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024, CCF-A)


• [C73] Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing [pdf][bib]
  Bingyan Liu, Chengyu Wang#, Tingfeng Cao, Kui Jia#, Jun Huang
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024, CCF-A)


• [C72] 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, CCF-B)


• [C71] 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, CCF-B)


• [C70] 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, CCF-B)


• [C69] 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, CCF-B)


• [C68] Synslator: An Interactive Machine Translation Tool with Online Learning [pdf][bib]
  Jiayi Wang, Ke Wang, Fengming Zhou, Chengyu Wang, Zhiyong Fu, Zeyu Feng, Yu Zhou, Yuqi Zhang
  The Web Conference 2024 (TheWebConf 2024, CCF-A)


• [C67] 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, CCF-B)


• [C66] 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, CCF-B)


• [C65] 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, CCF-B)

2023

• [C64] 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, CCF-B)


• [C63] 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, CCF-B)


• [C62] 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, CCF-B)


• [C61] 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, CCF-B)


• [C60] 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, CCF-B)


• [C59] 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, CCF-B)


• [C58] 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, CCF-B)


• [C57] 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, CCF-B)


• [C56] 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, CCF-B, CIKM 2013 Best Demo Award)


• [C55] 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, CCF-B)


• [C54] 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, CCF-A)


• [C53] 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, CCF-A)


• [C52] 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, CCF-A)


• [C51] 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, CCF-A)


• [C50] 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, CCF-A)


• [C49] 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, CCF-A)


• [C48] 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, CCF-B)


• [C47] 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, CCF-B)


• [C46] 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, CCF-A)


• [C45] 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, CCF-A)


• [C44] 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, CCF-B)


• [C43] 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, CCF-B)

2022

• [C42] 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, CCF-B)


• [C41] 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, CCF-B)


• [C40] 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, CCF-B)


• [C39] 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, CCF-B)


• [C38] 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, CCF-B)


• [C37] 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, CCF-B)


• [C36] 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, CCF-B)


• [C35] 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, CCF-A)


• [C34] 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, CCF-A)


• [C33] 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, CCF-B)


• [C32] 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, CCF-A)


• [C31] 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, CCF-A)


• [C30] 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, CCF-B)

2021

• [C29] 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, CCF-B)


• [C28] 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, CCF-B)


• [C27] 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, CCF-B)


• [C26] 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, CCF-B)


• [C25] 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, CCF-B)


• [C24] 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, CCF-B)


• [C23] 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, CCF-A)


• [C22] 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, CCF-A)


• [C21] 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, CCF-A)


• [C20] 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, CCF-A)


• [C19] 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, CCF-B)


• [C18] 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, CCF-A)


• [C17] 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, CCF-A)


• [C16] 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, CCF-A)

Before 2020

• [C15] 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, CCF-B)


• [C14] 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, CCF-A)


• [C13] 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, CCF-A)


• [C12] 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, CCF-A)


• [C11] 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, CCF-B)


• [C10] 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, CCF-A)


• [C9] 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, CCF-B)


• [C8] 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, CCF-A)


• [C7] 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, CCF-B)


• [C6] 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, CCF-B)


• [C5] 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, CCF-B)


• [C4] 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, CCF-B)


• [C3] 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, CCF-B)


• [C2] 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, CCF-A)


• [C1] 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, CCF-B)

Journal Articles

• [J10] Exploiting Pre-Trained Models and Low-Frequency Preference for Cost-Effective Transfer-based Attack
  Mingyuan Fan, Cen Chen, Chengyu Wang, Jun Huang
  ACM Transactions on Knowledge Discovery from Data (TKDD, CCF-B)


• [J9] 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 2024, CCF-B)


• [J8] 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, CCF-B)


• [J7] Open Relation Extraction for Chinese Noun Phrases [pdf][bib]
  Chengyu Wang, Xiaofeng He, Aoying Zhou
  IEEE Transactions on Knowledge and Data Engineering (TKDE 2021, CCF-A)


• [J6] HEEL: Exploratory Entity Linking for Heterogeneous Information Networks [pdf][bib][code]
  Chengyu Wang, Xiaofeng He, Aoying Zhou
  Knowledge and Information Systems (KAIS 2020, CCF-B)


• [J5] Predicting Hypernym-Hyponym Relations for Chinese Taxonomy Learning [pdf][bib]
  Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou
  Knowledge and Information Systems (KAIS 2019, CCF-B)


• [J4] 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 2019, CCF-A)


• [J3] Event Phase Oriented News Summarization [pdf][bib]
  Chengyu Wang, Xiaofeng He, Aoying Zhou
  World Wide Web: Internet and Web Information Systems (WWWJ 2018, CCF-B)


• [J2] 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 2018, CCF-B)


• [J1] A Retrospective of Knowledge Graphs [pdf][bib]
  Jihong Yan, Chengyu Wang, Wenliang Cheng, Ming Gao, Aoying Zhou
  Frontiers of Computer Science (FCS 2018, CCF-B)