Chengyu Wang
81 papers · 2016–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Academic Marathon (9)
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Keyword Pioneer
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Cross-Pollinator
(4)
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Academic Marathon
(9)
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Conference Loyalist
(23)
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Dynamic Duo
(48)
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Topic Pioneer
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Deep Specialist
(14)
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Topic Evolution
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Keyword Champion
(4)
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Prolific Year
(15)
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Trend Setter
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Unstoppable
(10)
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Century Club
(74)
ποΈ
Keyword Collector
(316)
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Conference Pioneer
Conferences
ACL (24)
EMNLP (23)
AAAI (11)
COLING (7)
CVPR (6)
IJCAI (4)
IJCNLP (3)
ICLR (1)
INTERSPEECH (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(12)
knowledge distillation
(11)
contrastive learning
(10)
knowledge graph
(10)
model compression
(8)
few-shot learning
(8)
transfer learning
(7)
diffusion model
(7)
pre-trained language model
(7)
language model
(6)
text-to-image synthesis
(6)
video generation
(5)
reinforcement learning
(4)
knowledge editing
(4)
named entity recognition
(4)
chinese language
(4)
chain-of-thought reasoning
(4)
text classification
(4)
knowledge injection
(4)
knowledge-enhanced language model
(4)
Papers
Zero-to-Hero: Empowering Video Appearance Transfer with Zero-Shot Initialization and Holistic Restoration
AAAI 2026
Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations
ACL 2026
Taming "Zombie" Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution
ACL 2026
Leveraging Image as Compressed Visual Prompt and Hierarchical Visual Knowledge for Effective Image Utilization in MLLMs
AAAI 2026
AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use
ACL 2026
AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering
ACL 2026
Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based Rewards
ACL 2026
Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
ICLR 2025
Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series
EMNLP 2025
EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models
EMNLP 2025
Enhancing Reasoning Abilities of Small LLMs with Cognitive Alignment
EMNLP 2025
Fingerprinting Denoising Diffusion Probabilistic Models
CVPR 2025
Encapsulated Composition of Text-to-Image and Text-to-Video Models for High-Quality Video Synthesis
CVPR 2025
Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts
CVPR 2025
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understanding
CVPR 2025
Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud
COLING 2025
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering
ACL 2025
DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models
ACL 2025
Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit
AAAI 2025
Hallucination-Aware Prompt Optimization for Text-to-Video Synthesis
IJCAI 2025
AdaptEdit: An Adaptive Correspondence Guidance Framework for Reference-Based Video Editing
IJCAI 2025
FastBlend: Enhancing Video Stylization Consistency via Model-Free Patch Blending
IJCAI 2025
Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning
EMNLP 2024
A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking
AAAI 2024
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models
ACL 2024
PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud
ACL 2024
DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models
ACL 2024
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation
ACL 2024
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning
COLING 2024
TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences
COLING 2024
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models
COLING 2024
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding
COLING 2024
Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing
CVPR 2024
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
EMNLP 2024
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models
EMNLP 2024
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models
IJCAI 2024
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
NAACL 2024
CocaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval
ACL 2023
Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling
AAAI 2023
XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding
ACL 2023
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding
EMNLP 2023
BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis
EMNLP 2023
Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension
EMNLP 2023
MCL: Multi-Granularity Contrastive Learning Framework for Chinese NER
AAAI 2023
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning
ACL 2023
From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models
EMNLP 2023
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding
EMNLP 2023
A Customized Text Sanitization Mechanism with Differential Privacy
ACL 2023
Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed
ACL 2023
FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph
ACL 2023
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering
EMNLP 2022
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition
EMNLP 2022
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing
EMNLP 2022
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training
EMNLP 2022
Towards Unified Prompt Tuning for Few-shot Text Classification
EMNLP 2022
ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge
EMNLP 2022
DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding
AAAI 2022
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression
AAAI 2022
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction
ACL 2022
UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings
EMNLP 2021
Weakly Supervised Construction of ASR Systems from Massive Video Data
INTERSPEECH 2021
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification
AAAI 2021
Meta Distant Transfer Learning for Pre-trained Language Models
EMNLP 2021
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources
ACL 2021
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
ACL 2021
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition
AAAI 2021
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains
ACL 2021
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
IJCNLP 2021
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources
IJCNLP 2021
TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification
EMNLP 2021
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains
IJCNLP 2021
BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection
ACL 2020
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining
EMNLP 2020
Video Generation From Single Semantic Label Map
CVPR 2019
Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning
AAAI 2019
SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings
ACL 2019
Exploratory Neural Relation Classification for Domain Knowledge Acquisition
COLING 2018
Transductive Non-linear Learning for Chinese Hypernym Prediction
ACL 2017
A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances
EMNLP 2017
Learning Fine-grained Relations from Chinese User Generated Categories
EMNLP 2017
Chinese Hypernym-Hyponym Extraction from User Generated Categories
COLING 2016