Chengyu Wang

According to our database, Chengyu Wang authored at least 135 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accelerating BERT inference with GPU-efficient exit prediction.

Lei Li, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou

Frontiers Comput. Sci., June, 2024

Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective.

Xiangru Zhu, Penglei Sun, Yaoxian Song, Yanghua Xiao, Zhixu Li, Chengyu Wang, Jun Huang, Bei Yang, Xiaoxiao Xu

CoRR, 2024

DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document Understanding.

Wenhui Liao, Jiapeng Wang, Hongliang Li, Chengyu Wang, Jun Huang, Lianwen Jin

CoRR, 2024

Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit.

Qizhou Chen, Taolin Zhang, Chengyu Wang, Xiaofeng He, Dakan Wang, Tingting Liu

CoRR, 2024

DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models.

Taolin Zhang, Qizhou Chen, Dongyang Li, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang

CoRR, 2024

Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning.

Qizhou Chen, Taolin Zhang, Xiaofeng He, Dongyang Li, Chengyu Wang, Longtao Huang, Hui Xue

CoRR, 2024

Do Large Language Models Understand Logic or Just Mimick Context?

Junbing Yan, Chengyu Wang, Jun Huang, Wei Zhang

CoRR, 2024

Synslator: An Interactive Machine Translation Tool with Online Learning.

Jiayi Wang, Ke Wang, Fengming Zhou, Chengyu Wang, Zhiyong Fu, Zeyu Feng, Yu Zhao, Yuqi Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters.

Yukang Xie, Chengyu Wang, Junbing Yan, Jiyong Zhou, Feiqi Deng, Jun Huang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning.

Mingyuan Fan, Yang Liu, Cen Chen, Chengyu Wang, Minghui Qiu, Wenmeng Zhou

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion.

Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis.

Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Attentive Linguistic Tracking in Diffusion Models for Training-free Text-guided Image Editing.

Bingyan Liu, Chengyu Wang, Jun Huang, Kui Jia

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models.

Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning.

Yuanhao Yue, Chengyu Wang, Jun Huang, Peng Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models.

Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning.

Qizhou Chen, Taolin Zhang, Xiaofeng He, Dongyang Li, Chengyu Wang, Longtao Huang, Hui Xue'

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

R⁴: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models.

Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang, Longtao Huang, Hui Xue, Xiaofeng He, Jun Huang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models.

Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang, Longtao Huang, Hui Xue

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning.

Dongyang Li, Taolin Zhang, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding.

Dongyang Li, Taolin Zhang, Jiali Deng, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences.

Huimin Chen, Chengyu Wang, Yanhao Wang, Cen Chen, Yinggui Wang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models.

Taolin Zhang, Qizhou Chen, Dongyang Li, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue', Jun Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation.

Jiapeng Wang, Chengyu Wang, Tingfeng Cao, Jun Huang, Lianwen Jin

Proceedings of the Findings of the Association for Computational Linguistics, 2024

On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models.

Dongyang Li, Junbing Yan, Taolin Zhang, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Resizing codebook of vector quantization without retraining.

Lei Li, Tingting Liu, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou

Multim. Syst., June, 2023

A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics.

Xiangru Zhu, Penglei Sun, Chengyu Wang, Jingping Liu, Zhixu Li, Yanghua Xiao, Jun Huang

CoRR, 2023

Towards Better Parameter-Efficient Fine-Tuning for Large Language Models: A Position Paper.

Chengyu Wang, Junbing Yan, Wei Zhang, Jun Huang

CoRR, 2023

FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier.

Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang, Mingyi Jin

CoRR, 2023

Boosting In-Context Learning with Factual Knowledge.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao

CoRR, 2023

PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud.

Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang

CoRR, 2023

TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification.

Jianing Wang, Chengyu Wang, Cen Chen, Ming Gao, Jun Huang, Aoying Zhou

CoRR, 2023

On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey.

Mingyuan Fan, Cen Chen, Chengyu Wang, Jun Huang

CoRR, 2023

ConaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval.

Jiapeng Wang, Chengyu Wang, Xiaodan Wang, Jun Huang, Lianwen Jin

CoRR, 2023

Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost.

Zhongjie Duan, Chengyu Wang, Cen Chen, Wenmeng Zhou, Jun Huang, Weining Qian

Proceedings of the ACM Web Conference 2023, 2023

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning.

Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models.

Xiaodan Wang, Lei Li, Zhixu Li, Xuwu Wang, Xiangru Zhu, Chengyu Wang, Jun Huang, Yanghua Xiao

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

UKT: A Unified Knowledgeable Tuning Framework for Chinese Information Extraction.

Jiyong Zhou, Chengyu Wang, Junbing Yan, Jianing Wang, Yukang Xie, Jun Huang, Ying Gao

Proceedings of the Natural Language Processing and Chinese Computing, 2023

ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization.

Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian

Proceedings of the Knowledge Science, Engineering and Management, 2023

Prompt-Distiller: Few-Shot Knowledge Distillation for Prompt-Based Language Learners with Dual Contrastive Learning.

Boyu Hou, Chengyu Wang, Xiaoqing Chen, Minghui Qiu, Liang Feng, Jun Huang

Proceedings of the IEEE International Conference on Acoustics, 2023

Boosting Prompt-Based Few-Shot Learners Through Out-of-Domain Knowledge Distillation.

Xiaoqing Chen, Chengyu Wang, Junwei Dong, Minghui Qiu, Liang Feng, Jun Huang

Proceedings of the IEEE International Conference on Acoustics, 2023

Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding.

Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models.

Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.

Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension.

Tingfeng Cao, Chengyu Wang, Chuanqi Tan, Jun Huang, Jinhui Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis.

Tingfeng Cao, Chengyu Wang, Bingyan Liu, Ziheng Wu, Jinhui Zhu, Jun Huang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

On the Robustness of Split Learning Against Adversarial Attacks.

Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

HugNLP: A Unified and Comprehensive Library for Natural Language Processing.

Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Learning What to Ask: Mining Product Attributes for E-commerce Sales from Massive Dialogue Corpora.

Yan Fan, Chengyu Wang, Fan Feng, Hengbin Cui, Yuchuan Wu, Yongbin Li

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models.

Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning.

Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning.

Zhenru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

CocaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval.

Jiapeng Wang, Chengyu Wang, Xiaodan Wang, Jun Huang, Lianwen Jin

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph.

Xiaodan Wang, Chengyu Wang, Lei Li, Zhixu Li, Ben Chen, Linbo Jin, Jun Huang, Yanghua Xiao, Ming Gao

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding.

Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed.

Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Ziheng Wu, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen Chen, Jun Huang

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

A Customized Text Sanitization Mechanism with Differential Privacy.

Sai Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, Jamie Cui

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling.

Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ARoBERT: An ASR Robust Pre-Trained Language Model for Spoken Language Understanding.

Chengyu Wang, Suyang Dai, Yipeng Wang, Fei Yang, Minghui Qiu, Kehan Chen, Wei Zhou, Jun Huang

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning.

Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang, Ximeng Liu, Wenzhong Guo

CoRR, 2022

Building Multi-turn Query Interpreters for E-commercial Chatbots with Sparse-to-dense Attentive Modeling.

Yan Fan, Chengyu Wang, Peng He, Yunhua Hu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Enhancing Seq2seq Math Word Problem Solver with Entity Information and Math Knowledge.

Lei Li, Dongxiang Zhang, Chengyu Wang, Cheqing Jin, Ming Gao, Aoying Zhou

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Understanding Long Programming Languages with Structure-Aware Sparse Attention.

Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Quantized Winograd Acceleration for CONV1D Equipped ASR Models on Mobile Devices.

Yiwu Yao, Chengyu Wang, Jun Huang

Proceedings of the IEEE International Conference on Acoustics, 2022

Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training.

Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing.

Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering.

Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Unified Prompt Tuning for Few-shot Text Classification.

Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge.

Tingting Liu, Chengyu Wang, Xiangru Zhu, Lei Li, Minghui Qiu, Jun Huang, Ming Gao, Yanghua Xiao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Building Natural Language Processing Applications with EasyNLP.

Chengyu Wang, Minghui Qiu, Jun Huang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction.

Dongyang Li, Taolin Zhang, Nan Hu, Chengyu Wang, Xiaofeng He

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding.

Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression.

Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Open Relation Extraction for Chinese Noun Phrases.

Chengyu Wang, Xiaofeng He, Aoying Zhou

IEEE Trans. Knowl. Data Eng., 2021

Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings.

Guanglin Niu, Yang Li, Chengguang Tang, Zhongkai Hu, Shibin Yang, Peng Li, Chengyu Wang, Hao Wang, Jian Sun

CoRR, 2021

Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems.

Cen Chen, Chengyu Wang, Minghui Qiu, Dehong Gao, Linbo Jin, Wang Li

Proceedings of the WWW '21: The Web Conference 2021, 2021

When Few-Shot Learning Meets Large-Scale Knowledge-Enhanced Pre-training: Alibaba at FewCLUE.

Ziyun Xu, Chengyu Wang, Peng Li, Yang Li, Ming Wang, Boyu Hou, Minghui Qiu, Chengguang Tang, Jun Huang

Proceedings of the Natural Language Processing and Chinese Computing, 2021

MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning.

Chengyu Wang, Haojie Pan, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Weakly Supervised Construction of ASR Systems from Massive Video Data.

Mengli Cheng, Chengyu Wang, Jun Huang, Xiaobo Wang

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings.

Zhi Li, Yuchen Zhai, Chengyu Wang, Minghui Qiu, Kailiang Li, Yin Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification.

Chengyu Wang, Jianing Wang, Minghui Qiu, Jun Huang, Ming Gao

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Meta Distant Transfer Learning for Pre-trained Language Models.

Chengyu Wang, Haojie Pan, Minghui Qiu, Jun Huang, Fei Yang, Yin Zhang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension.

Cen Chen, Xinjing Huang, Feng Ji, Chengyu Wang, Minghui Qiu, Jun Huang, Yin Zhang

Proceedings of the Database Systems for Advanced Applications, 2021

HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources.

Taolin Zhang, Zerui Cai, Chengyu Wang, Peng Li, Yang Li, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.

Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations.

Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

EMBERT: A Pre-trained Language Model for Chinese Medical Text Mining.

Zerui Cai, Taolin Zhang, Chengyu Wang, Xiaofeng He

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources.

Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Zerui Cai, Xiaofeng He, Jun Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining.

Taolin Zhang, Zerui Cai, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains.

Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification.

Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition.

Chengyu Wang, Mengli Cheng, Xu Hu, Jun Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

HEEL: exploratory entity linking for heterogeneous information networks.

Chengyu Wang, Xiaofeng He, Aoying Zhou

Knowl. Inf. Syst., 2020

EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.

Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin

CoRR, 2020

INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices.

Yiwu Yao, Yuchao Li, Chengyu Wang, Tianhang Yu, Houjiang Chen, Xiaotang Jiang, Jun Yang, Jun Huang, Wei Lin, Hui Shu, Chengfei Lv

CoRR, 2020

Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources.

Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He, Jun Huang

CoRR, 2020

Weakly Supervised Construction of ASR Systems with Massive Video Data.

Mengli Cheng, Chengyu Wang, Xu Hu, Jun Huang, Xiaobo Wang

CoRR, 2020

Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining.

Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Debiasing Learning to Rank Models with Generative Adversarial Networks.

Hui Cai, Chengyu Wang, Xiaofeng He

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection.

Chengyu Wang, Xiaofeng He

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Decoding Chinese User Generated Categories for Fine-Grained Knowledge Harvesting.

Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou

IEEE Trans. Knowl. Data Eng., 2019

Predicting hypernym-hyponym relations for Chinese taxonomy learning.

Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou

Knowl. Inf. Syst., 2019

Idiomaticity Prediction of Chinese Noun Compounds and Its Applications.

Chengyu Wang, Yan Fan, Xiaofeng He, Hongyuan Zha, Aoying Zhou

IEEE Access, 2019

A Family of Fuzzy Orthogonal Projection Models for Monolingual and Cross-lingual Hypernymy Prediction.

Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou

Proceedings of the World Wide Web Conference, 2019

SPMM: A Soft Piecewise Mapping Model for Bilingual Lexicon Induction.

Yan Fan, Chengyu Wang, Boxing Chen, Zhongkai Hu, Xiaofeng He

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings.

Chengyu Wang, Xiaofeng He, Aoying Zhou

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning.

Chengyu Wang, Xiaofeng He, Aoying Zhou

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Event phase oriented news summarization.

Chengyu Wang, Xiaofeng He, Aoying Zhou

World Wide Web, 2018

A retrospective of knowledge graphs.

Jihong Yan, Chengyu Wang, Wenliang Cheng, Ming Gao, Aoying Zhou

Frontiers Comput. Sci., 2018

NERank+: a graph-based approach for entity ranking in document collections.

Chengyu Wang, Guomin Zhou, Xiaofeng He, Aoying Zhou

Frontiers Comput. Sci., 2018

Exploratory Neural Relation Classification for Domain Knowledge Acquisition.

Yan Fan, Chengyu Wang, Xiaofeng He

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Improving Clinical Named Entity Recognition with Global Neural Attention.

Guohai Xu, Chengyu Wang, Xiaofeng He

Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017

A Transfer Learning Based Boosting Model for Emotion Analysis.

Ruolan Yong, Chengyu Wang, Xiaofeng He

Proceedings of the IEEE International Conference on Big Knowledge, 2017

A Hybrid Abnormal Advertising Traffic Detection Method.

Kun Wang, Guohai Xu, Chengyu Wang, Xiaofeng He

Proceedings of the IEEE International Conference on Big Knowledge, 2017

BiUCB: A Contextual Bandit Algorithm for Cold-Start and Diversified Recommendation.

Lu Wang, Chengyu Wang, Keqiang Wang, Xiaofeng He

Proceedings of the IEEE International Conference on Big Knowledge, 2017

A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances.

Chengyu Wang, Xiaofeng He, Aoying Zhou

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Learning Fine-grained Relations from Chinese User Generated Categories.

Chengyu Wang, Yan Fan, Xiaofeng He, Aoying Zhou

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

DKGBuilder: An Architecture for Building a Domain Knowledge Graph from Scratch.

Yan Fan, Chengyu Wang, Guomin Zhou, Xiaofeng He

Proceedings of the Database Systems for Advanced Applications, 2017

Transductive Non-linear Learning for Chinese Hypernym Prediction.

Chengyu Wang, Junchi Yan, Aoying Zhou, Xiaofeng He

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

NERank: Ranking Named Entities in Document Collections.

Chengyu Wang, Rong Zhang, Xiaofeng He, Aoying Zhou

Proceedings of the 25th International Conference on World Wide Web, 2016

Event Phase Extraction and Summarization.

Chengyu Wang, Rong Zhang, Xiaofeng He, Guomin Zhou, Aoying Zhou

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Chinese Hypernym-Hyponym Extraction from User Generated Categories.

Chengyu Wang, Xiaofeng He

Proceedings of the COLING 2016, 2016

Error Link Detection and Correction in Wikipedia.

Chengyu Wang, Rong Zhang, Xiaofeng He, Aoying Zhou

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

NERank: Bringing Order to Named Entities from Texts.

Chengyu Wang, Rong Zhang, Xiaofeng He, Guomin Zhou, Aoying Zhou

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015

Optimizing word set coverage for multi-event summarization.

Jihong Yan, Wenliang Cheng, Chengyu Wang, Jun Liu, Ming Gao, Aoying Zhou

J. Comb. Optim., 2015

On the rise and fall of Sina Weibo: Analysis based on a fixed user group.

Fan Xia, Qunyan Zhang, Chengyu Wang, Weining Qian, Aoying Zhou

Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

Challenges in Chinese knowledge graph construction.

Chengyu Wang, Ming Gao, Xiaofeng He, Rong Zhang

Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

On Statistical Characteristics of Real-Life Knowledge Graphs.

Wenliang Cheng, Chengyu Wang, Bing Xiao, Weining Qian, Aoying Zhou

Proceedings of the Big Data Benchmarks, Performance Optimization, and Emerging Hardware, 2015

Cross-Lingual Entity Query from Large-Scale Knowledge Graphs.

Yonghao Su, Chi Zhang, Jinyang Li, Chengyu Wang, Weining Qian, Aoying Zhou

Proceedings of the Web Technologies and Applications, 2015

User Generated Content Oriented Chinese Taxonomy Construction.

Jinyang Li, Chengyu Wang, Xiaofeng He, Rong Zhang, Ming Gao

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014

TaxiHailer: A Situation-Specific Taxi Pick-Up Points Recommendation System.

Leyi Song, Chengyu Wang, Xiaoyi Duan, Bing Xiao, Xiao Liu, Rong Zhang, Xiaofeng He, Xueqing Gong

Proceedings of the Database Systems for Advanced Applications, 2014

2013

Predicting Users' Age Range in Micro-blog Network.

Chengyu Wang, Bing Xiao, Xiang Li, Jiawen Zhu, Xiaofeng He, Rong Zhang

Proceedings of the Web Information Systems Engineering - WISE 2013, 2013