Guoyin Wang
53 papers · 2017–2026 · 14 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (13)
πΊοΈ
Taxonomy Completionist
(12)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(21)
π
Grand Slam
π₯
Mega-Team
(29)
π¬
Deep Specialist
(10)
π₯
Unstoppable
(9)
ποΈ
Keyword Collector
(227)
β‘
Prolific Year
(8)
β
The Questioner
π
Century Club
(51)
π
Trend Setter
Conferences
ACL (16)
EMNLP (10)
AAAI (5)
IJCAI (4)
NIPS (4)
ICML (3)
NAACL (3)
IJCNLP (2)
AISTATS (1)
COLING (1)
EACL (1)
ICLR (1)
MLHC (1)
WACV (1)
Top co-authors
Research topics
Keywords
large language model
(7)
text classification
(6)
text generation
(6)
optimal transport
(5)
generative model
(4)
granular-ball computing
(4)
contrastive learning
(4)
representation learning
(3)
few-shot learning
(3)
word embedding
(3)
latent representation
(3)
knowledge distillation
(3)
semantic similarity
(3)
generative adversarial network
(3)
sequence labeling
(2)
named entity recognition
(2)
data augmentation
(2)
natural language generation
(2)
information retrieval
(2)
imitation learning
(2)
Papers
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
EACL 2026
Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings
ACL 2026
OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use
ACL 2025
ATLANTIS: Weak-to-Strong Learning via Importance Sampling
ACL 2025
The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
NAACL 2025
Granular-Ball-Induced Multiple Kernel K-Means
IJCAI 2025
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training
AAAI 2025
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary
AAAI 2025
GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing
IJCAI 2025
From Sparse to Complete: Semantic Understanding Based on Stroke Evolution in On-the-fly Sketch-based Image Retrieval
IJCAI 2025
Fusion of Granular-Ball Visual Spatial Representations for Enhanced Facial Expression Recognition
IJCAI 2025
GPT-NER: Named Entity Recognition via Large Language Models
NAACL 2025
Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding
ACL 2025
Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning
ACL 2025
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
ICML 2024
Multi-Granularity Causal Structure Learning
AAAI 2024
Language Models as Semantic Indexers
ICML 2024
Are Human-generated Demonstrations Necessary for In-context Learning?
ICLR 2024
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing
ACL 2024
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild
ACL 2024
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN
ACL 2023
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models
ACL 2023
Ranking-Enhanced Unsupervised Sentence Representation Learning
ACL 2023
PK-ICR: Persona-Knowledge Interactive Multi-Context Retrieval for Grounded Dialogue
EMNLP 2023
Text Classification via Large Language Models
EMNLP 2023
OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding
EMNLP 2023
Open World Classification with Adaptive Negative Samples
EMNLP 2022
An MRC Framework for Semantic Role Labeling
COLING 2022
Dialogue Response Generation via Contrastive Latent Representation Learning
EMNLP 2021
AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation
IJCNLP 2021
AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation
ACL 2021
Zero-Shot Recognition via Optimal Transport
WACV 2021
Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage
MLHC 2020
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
AAAI 2020
Methods for Numeracy-Preserving Word Embeddings
EMNLP 2020
Improving Text Generation with Student-Forcing Optimal Transport
EMNLP 2020
Improving Adversarial Text Generation by Modeling the Distant Future
ACL 2020
Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning
EMNLP 2020
POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training
EMNLP 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning
AAAI 2020
An End-to-End Generative Architecture for Paraphrase Generation
IJCNLP 2019
Improving Textual Network Learning with Variational Homophilic Embeddings
NIPS 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution
AISTATS 2019
An End-to-End Generative Architecture for Paraphrase Generation
EMNLP 2019
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
NIPS 2019
Topic-Guided Variational Auto-Encoder for Text Generation
NAACL 2019
Improving Textual Network Embedding with Global Attention via Optimal Transport
ACL 2019
Adversarial Text Generation via Feature-Mover's Distance
NIPS 2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
ICML 2018
Joint Embedding of Words and Labels for Text Classification
ACL 2018
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing
ACL 2018
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
ACL 2018
Deconvolutional Paragraph Representation Learning
NIPS 2017