Chengyu Wang
Orcid: 0000-0003-1010-9678Affiliations:
- Alibaba Group, Hangzhou, China
- East China Normal University, Shanghai, China (former)
According to our database1,
Chengyu Wang
authored at least 128 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Frontiers Comput. Sci., June, 2024
CoRR, 2024
DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models.
CoRR, 2024
Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning.
CoRR, 2024
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning.
CoRR, 2024
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation.
CoRR, 2024
Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing.
CoRR, 2024
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.
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.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning.
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.
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.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models.
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.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Multim. Syst., June, 2023
A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics.
CoRR, 2023
Towards Better Parameter-Efficient Fine-Tuning for Large Language Models: A Position Paper.
CoRR, 2023
PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud.
CoRR, 2023
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification.
CoRR, 2023
CoRR, 2023
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey.
CoRR, 2023
ConaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning.
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.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the Natural Language Processing and Chinese Computing, 2023
Proceedings of the Knowledge Science, Engineering and Management, 2023
Prompt-Distiller: Few-Shot Knowledge Distillation for Prompt-Based Language Learners with Dual Contrastive Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023
Boosting Prompt-Based Few-Shot Learners Through Out-of-Domain Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
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.
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.
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.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
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.
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.
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.
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.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
CoRR, 2022
Building Multi-turn Query Interpreters for E-commercial Chatbots with Sparse-to-dense Attentive Modeling.
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.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction.
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.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Knowl. Data Eng., 2021
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
When Few-Shot Learning Meets Large-Scale Knowledge-Enhanced Pre-training: Alibaba at FewCLUE.
Proceedings of the Natural Language Processing and Chinese Computing, 2021
MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
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.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
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.
Proceedings of the Database Systems for Advanced Applications, 2021
HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources.
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.
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.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
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.
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.
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.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Knowl. Inf. Syst., 2020
EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.
CoRR, 2020
INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices.
CoRR, 2020
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources.
CoRR, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020
BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
IEEE Trans. Knowl. Data Eng., 2019
Knowl. Inf. Syst., 2019
IEEE Access, 2019
A Family of Fuzzy Orthogonal Projection Models for Monolingual and Cross-lingual Hypernymy Prediction.
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Frontiers Comput. Sci., 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the Web and Big Data - Second International Joint Conference, 2018
2017
Proceedings of the IEEE International Conference on Big Knowledge, 2017
Proceedings of the IEEE International Conference on Big Knowledge, 2017
Proceedings of the IEEE International Conference on Big Knowledge, 2017
A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Proceedings of the Database Systems for Advanced Applications, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Proceedings of the 25th International Conference on World Wide Web, 2016
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016
Proceedings of the COLING 2016, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016
2015
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015
Proceedings of the Big Data Benchmarks, Performance Optimization, and Emerging Hardware, 2015
Proceedings of the Web Technologies and Applications, 2015
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015
2014
Proceedings of the Database Systems for Advanced Applications, 2014
2013
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013