← Authors

Richong Zhang

60 papers · 2016–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (109) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (9) 🀝 Dynamic Duo (38) πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (261) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (8) πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (59)

Conferences

AAAI (19) EMNLP (16) ACL (11) IJCAI (5) IJCNLP (3) COLING (2) ICLR (2) CVPR (1) NAACL (1)

Top co-authors

Yongyi Mao (38) Junfan Chen (25) Samuel Mensah (11) Chunming Hu (9) Xudong Liu (8) Kai Sun (8) Jaein Kim (7) Zhijie Nie (7) Hongyu Guo (6) Yaowei Zheng (5)

Keywords

text classification (9) neural network (8) contrastive learning (7) relation extraction (6) representation learning (6) few-shot learning (4) semi-supervised learning (4) large language model (4) data augmentation (4) multi-task learning (4) pseudo labeling (4) graph convolutional network (3) in-context learning (3) cross-lingual transfer (3) dependency tree (3) adversarial training (3) adversarial learning (3) domain adaptation (3) attention mechanism (3) named entity recognition (3)

Papers

Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective AAAI 2026
Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding AAAI 2025
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens ACL 2025
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning ACL 2025
GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction ICLR 2025
Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities AAAI 2025
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents EMNLP 2025
Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification EMNLP 2025
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing AAAI 2025
Improving Data Annotation for Low-Resource Relation Extraction with Logical Rule-Augmented Collaborative Language Models NAACL 2025
Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization ACL 2024
Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient ACL 2024
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models ACL 2024
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model AAAI 2024
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning AAAI 2024
Code-Style In-Context Learning for Knowledge-Based Question Answering AAAI 2024
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching IJCAI 2024
Progressively Modality Freezing for Multi-Modal Entity Alignment ACL 2024
Anaphor Assisted Document-Level Relation Extraction EMNLP 2023
Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion ACL 2023
On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations ICLR 2023
Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification ACL 2023
Multi-Mask Label Mapping for Prompt-Based Learning AAAI 2023
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime AAAI 2023
E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models COLING 2022
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification AAAI 2022
Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives AAAI 2022
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition ACL 2022
A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking ACL 2022
DropMix: A Textual Data Augmentation Combining Dropout with Mixup EMNLP 2022
Text Style Transferring via Adversarial Masking and Styled Filling EMNLP 2022
Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding EMNLP 2022
Explicit Role Interaction Network for Event Argument Extraction EMNLP 2022
Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning EMNLP 2022
Hypernym Discovery via a Recurrent Mapping Model IJCNLP 2021
Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing IJCAI 2021
Regularizing Neural Networks via Adversarial Model Perturbation CVPR 2021
Hypernym Discovery via a Recurrent Mapping Model ACL 2021
On Scalar Embedding of Relative Positions in Attention Models AAAI 2021
Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction AAAI 2021
Keyphrase Extraction with Incomplete Annotated Training Data EMNLP 2021
Robust Regularization with Adversarial Labelling of Perturbed Samples IJCAI 2021
Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification AAAI 2020
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020
Learning VAE-LDA Models with Rounded Reparameterization Trick EMNLP 2020
Parallel Interactive Networks for Multi-Domain Dialogue State Generation EMNLP 2020
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations EMNLP 2020
Neural Dialogue State Tracking with Temporally Expressive Networks EMNLP 2020
Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph AAAI 2020
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework EMNLP 2019
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework IJCNLP 2019
Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree IJCNLP 2019
Generating Chinese Ci with Designated Metrical Structure AAAI 2019
MixUp as Locally Linear Out-of-Manifold Regularization AAAI 2019
Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach IJCAI 2019
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion AAAI 2019
Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree EMNLP 2019
The APVA-TURBO Approach To Question Answering in Knowledge Base COLING 2018
Syntax Encoding with Application in Authorship Attribution EMNLP 2018
On the Representation and Embedding of Knowledge Bases beyond Binary Relations IJCAI 2016