Chengyu Wang

Orcid: 0000-0003-1010-9678

Affiliations:
  • Alibaba Group, Hangzhou, China
  • East China Normal University, Shanghai, China (former)


According to our database1, Chengyu Wang authored at least 126 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Accelerating BERT inference with GPU-efficient exit prediction.
Frontiers Comput. Sci., June, 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

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

Do Large Language Models Understand Logic or Just Mimick Context?
CoRR, 2024

Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models.
CoRR, 2024

Synslator: An Interactive Machine Translation Tool with Online Learning.
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

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

2023
Resizing codebook of vector quantization without retraining.
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

FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier.
CoRR, 2023

Boosting In-Context Learning with Factual Knowledge.
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

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

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

UKT: A Unified Knowledgeable Tuning Framework for Chinese Information Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

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

BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

On the Robustness of Split Learning Against Adversarial Attacks.
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.
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

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

A Customized Text Sanitization Mechanism with Differential Privacy.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ARoBERT: An ASR Robust Pre-Trained Language Model for Spoken Language Understanding.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

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

Understanding Long Programming Languages with Structure-Aware Sparse Attention.
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.
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

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

Towards Unified Prompt Tuning for Few-shot Text Classification.
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

Building Natural Language Processing Applications with EasyNLP.
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
Open Relation Extraction for Chinese Noun Phrases.
IEEE Trans. Knowl. Data Eng., 2021

Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings.
CoRR, 2021

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

Weakly Supervised Construction of ASR Systems from Massive Video Data.
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

Meta Distant Transfer Learning for Pre-trained Language Models.
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

EMBERT: A Pre-trained Language Model for Chinese Medical Text Mining.
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
HEEL: exploratory entity linking for heterogeneous information networks.
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

Weakly Supervised Construction of ASR Systems with Massive Video Data.
CoRR, 2020

Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Debiasing Learning to Rank Models with Generative Adversarial Networks.
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
Decoding Chinese User Generated Categories for Fine-Grained Knowledge Harvesting.
IEEE Trans. Knowl. Data Eng., 2019

Predicting hypernym-hyponym relations for Chinese taxonomy learning.
Knowl. Inf. Syst., 2019

Idiomaticity Prediction of Chinese Noun Compounds and Its Applications.
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

SPMM: A Soft Piecewise Mapping Model for Bilingual Lexicon Induction.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Event phase oriented news summarization.
World Wide Web, 2018

A retrospective of knowledge graphs.
Frontiers Comput. Sci., 2018

NERank+: a graph-based approach for entity ranking in document collections.
Frontiers Comput. Sci., 2018

Exploratory Neural Relation Classification for Domain Knowledge Acquisition.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Improving Clinical Named Entity Recognition with Global Neural Attention.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017
A Transfer Learning Based Boosting Model for Emotion Analysis.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

A Hybrid Abnormal Advertising Traffic Detection Method.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

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

Learning Fine-grained Relations from Chinese User Generated Categories.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

DKGBuilder: An Architecture for Building a Domain Knowledge Graph from Scratch.
Proceedings of the Database Systems for Advanced Applications, 2017

Transductive Non-linear Learning for Chinese Hypernym Prediction.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
NERank: Ranking Named Entities in Document Collections.
Proceedings of the 25th International Conference on World Wide Web, 2016

Event Phase Extraction and Summarization.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Chinese Hypernym-Hyponym Extraction from User Generated Categories.
Proceedings of the COLING 2016, 2016

Error Link Detection and Correction in Wikipedia.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

NERank: Bringing Order to Named Entities from Texts.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Optimizing word set coverage for multi-event summarization.
J. Comb. Optim., 2015

On the rise and fall of Sina Weibo: Analysis based on a fixed user group.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

Challenges in Chinese knowledge graph construction.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

On Statistical Characteristics of Real-Life Knowledge Graphs.
Proceedings of the Big Data Benchmarks, Performance Optimization, and Emerging Hardware, 2015

Cross-Lingual Entity Query from Large-Scale Knowledge Graphs.
Proceedings of the Web Technologies and Applications, 2015

User Generated Content Oriented Chinese Taxonomy Construction.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014
TaxiHailer: A Situation-Specific Taxi Pick-Up Points Recommendation System.
Proceedings of the Database Systems for Advanced Applications, 2014

2013
Predicting Users' Age Range in Micro-blog Network.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013


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