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Guoyin Wang

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

Achievements

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+13 more ↓ 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🌍 Conference Polyglot (13)
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 (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)

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