Tao Yang

48 papers · 2019–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (11) 🧬 Topic Evolution 🌱 Topic Pioneer 🤝 Dynamic Duo (10) 🏆 Grand Slam 🏆 Keyword Champion (2) 🔥 Unstoppable (7) ⚡ Prolific Year (9) 🗃️ Keyword Collector (217) 💎 Century Club (46)

Conferences

ACL (9) EMNLP (9) CVPR (5) AAAI (4) ICML (4) NIPS (4) ICLR (3) IJCNLP (3) COLING (2) ECCV (2) ICCV (2) NAACL (1)

Top co-authors

Xiaojun Quan (10) Feng Zhang (7) Nanning Zheng (5) Shulin Liu (5) Yuwang Wang (5) Yan Lu (4) Tianchi Yue (4) Lei Zhang (4) Qifan Wang (4) Suncong Zheng (3)

Research topics

Differential Privacy (1)

Keywords

large language model (5) personality detection (5) diffusion model (5) unsupervised learning (4) neural network (4) named entity recognition (4) text classification (3) masked language model (3) graph neural network (3) stable diffusion (3) disentangled representation (3) chinese language (2) spelling correction (2) character prediction (2) transfer learning (2) chinese spelling correction (2) contrastive learning (2) graph attention network (2) pre-trained language model (2) information retrieval (2)

Papers

Proxy Zero-Shot Hashing with Multimodal Fusion via Stable Diffusion AAAI 2026

HiNCoT: Hierarchical Nonlinear Continuous Transform-based Tensor Representation for Multi-Dimensional Data Recovery AAAI 2026

Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates EMNLP 2025

Discriminative Policy Optimization for Token-Level Reward Models ICML 2025

ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models COLING 2025

RORem: Training a Robust Object Remover with Human-in-the-Loop CVPR 2025

Private Language Models via Truncated Laplacian Mechanism EMNLP 2024

Closed-Loop Unsupervised Representation Disentanglement with $\\beta$-VAE Distillation and Diffusion Probabilistic Feedback ECCV 2024

Breaking through the learning plateaus of in-context learning in Transformer ICML 2024

Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement NIPS 2024

Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval EMNLP 2024

Robust and Scalable Model Editing for Large Language Models COLING 2024

Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization ECCV 2024

MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation CVPR 2024

SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution CVPR 2024

PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection EMNLP 2023

Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems EMNLP 2023

DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders ICCV 2023

A Flexible Diffusion Model ICML 2023

DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models NIPS 2023

Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection AAAI 2023

Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration EMNLP 2023

Type Enhanced BERT for Correcting NER Errors ACL 2023

Clustering-Aware Negative Sampling for Unsupervised Sentence Representation ACL 2023

Contextual Debiasing for Visual Recognition With Causal Mechanisms CVPR 2022

Visual Concepts Tokenization NIPS 2022

Compact Token Representations with Contextual Quantization for Efficient Document Re-ranking ACL 2022

Improving Chinese Grammatical Error Detection via Data augmentation by Conditional Error Generation ACL 2022

CRASpell: A Contextual Typo Robust Approach to Improve Chinese Spelling Correction ACL 2022

AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning NIPS 2022

Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game ICLR 2022

Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View ICLR 2022

Towards Building A Group-based Unsupervised Representation Disentanglement Framework ICLR 2022

Multiplex Graph Neural Network for Extractive Text Summarization EMNLP 2021

GAN Prior Embedded Network for Blind Face Restoration in the Wild CVPR 2021

KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained Relationships EMNLP 2021

Learning to Answer Psychological Questionnaire for Personality Detection EMNLP 2021

Safety-Aware Motion Prediction With Unseen Vehicles for Autonomous Driving ICCV 2021

Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints ICML 2021

TexSmart: A System for Enhanced Natural Language Understanding ACL 2021

Psycholinguistic Tripartite Graph Network for Personality Detection ACL 2021

PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction ACL 2021

PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction IJCNLP 2021

Psycholinguistic Tripartite Graph Network for Personality Detection IJCNLP 2021

TexSmart: A System for Enhanced Natural Language Understanding IJCNLP 2021

On the Generation of Medical Question-Answer Pairs AAAI 2020

Event Detection without Triggers NAACL 2019

Multi-grained Named Entity Recognition ACL 2019