← Authors

Guoyin Wang

52 papers · 2017–2026 · 14 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (11) 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (8) πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (21) πŸ† Grand Slam πŸ‘₯ Mega-Team (29) πŸ”¬ Deep Specialist (10) πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (227) ⚑ Prolific Year (8) ❓ The Questioner πŸ’Ž Century Club (51) πŸ“ˆ Trend Setter

Conferences

ACL (15) 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

Lawrence Carin (21) Wenlin Wang (13) Jiwei Li (12) Dinghan Shen (11) Ricardo Henao (10) Yizhe Zhang (9) Zhe Gan (8) Liqun Chen (6) Fei Wu (6) Chunyuan Li (5)

Research topics

Understanding (1) Resources & Methods (1)

Keywords

large language model (7) text generation (6) text classification (6) optimal transport (5) generative model (4) granular-ball computing (4) representation learning (3) few-shot learning (3) word embedding (3) contrastive learning (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
Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning ACL 2025
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
Granular-Ball-Induced Multiple Kernel K-Means IJCAI 2025
GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing IJCAI 2025
The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism NAACL 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
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
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
PK-ICR: Persona-Knowledge Interactive Multi-Context Retrieval for Grounded Dialogue EMNLP 2023
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models ACL 2023
Ranking-Enhanced Unsupervised Sentence Representation Learning ACL 2023
Text Classification via Large Language Models EMNLP 2023
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN ACL 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
Zero-Shot Recognition via Optimal Transport WACV 2021
AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation IJCNLP 2021
Dialogue Response Generation via Contrastive Latent Representation Learning EMNLP 2021
AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation ACL 2021
Improving Adversarial Text Generation by Modeling the Distant Future ACL 2020
Methods for Numeracy-Preserving Word Embeddings EMNLP 2020
Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage MLHC 2020
POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training EMNLP 2020
Improving Text Generation with Student-Forcing Optimal Transport EMNLP 2020
Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning EMNLP 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning AAAI 2020
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning AAAI 2020
An End-to-End Generative Architecture for Paraphrase Generation IJCNLP 2019
An End-to-End Generative Architecture for Paraphrase Generation EMNLP 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution AISTATS 2019
Improving Textual Network Learning with Variational Homophilic Embeddings NIPS 2019
Topic-Guided Variational Auto-Encoder for Text Generation NAACL 2019
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods NIPS 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