Yujiu Yang
105 papers · 2012–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (13)
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Conference Polyglot
(13)
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Academic Marathon
(13)
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Cross-Pollinator
(12)
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Grand Slam
π€
Dynamic Duo
(12)
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Deep Specialist
(15)
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Keyword Champion
(2)
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Topic Evolution
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Conference Pioneer
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Trend Setter
β‘
Prolific Year
(31)
ποΈ
Keyword Collector
(442)
π₯
Unstoppable
(8)
β
The Questioner
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Century Club
(101)
Conferences
ACL (19)
CVPR (19)
EMNLP (16)
NIPS (9)
ICCV (8)
ICLR (8)
ECCV (7)
COLING (4)
ICML (4)
NAACL (4)
AAAI (3)
EACL (2)
IJCAI (2)
Top co-authors
Research topics
Keywords
large language model
(21)
image restoration
(6)
semantic segmentation
(6)
attention mechanism
(6)
language model
(6)
text generation
(6)
knowledge distillation
(5)
multimodal learning
(5)
object detection
(5)
representation learning
(4)
model compression
(4)
neural network
(4)
contrastive learning
(4)
diffusion model
(4)
vision-language model
(4)
graph neural network
(4)
mathematical reasoning
(3)
vision transformer
(3)
neural network optimization
(3)
dialogue generation
(3)
Papers
Probing the Safety Robustness of LLMs in Latent Space
ACL 2026
Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language Models
ACL 2026
O-DisCo-Edit: Object Distortion Control for Unified Realistic Video Editing
AAAI 2026
SCAN: Structured Capability Assessment and Navigation for LLMs
ACL 2026
ProReflow: Progressive Reflow with Decomposed Velocity
CVPR 2025
Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking
EMNLP 2025
Teaching Your Models to Understand Code via Focal Preference Alignment
EMNLP 2025
ToM: Leveraging Tree-oriented MapReduce for Long-Context Reasoning in Large Language Models
EMNLP 2025
Text Anomaly Detection with Simplified Isolation Kernel
EMNLP 2025
Fair Text-Attributed Graph Representation Learning
EMNLP 2025
MaskCD: Mitigating LVLM Hallucinations by Image Head Masked Contrastive Decoding
EMNLP 2025
Advancing Visual Large Language Model for Multi-granular Versatile Perception
ICCV 2025
CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation
ICCV 2025
ShifCon: Enhancing Non-Dominant Language Capabilities with a Shift-based Multilingual Contrastive Framework
ACL 2025
MorphMark: Flexible Adaptive Watermarking for Large Language Models
ACL 2025
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
ACL 2025
Robust and Minimally Invasive Watermarking for EaaS
ACL 2025
From Evasion to Concealment: Stealthy Knowledge Unlearning for LLMs
ACL 2025
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs
COLING 2025
EpiCoder: Encompassing Diversity and Complexity in Code Generation
ICML 2025
Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLMβs Reasoning Capability
ICML 2025
ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
ICLR 2025
IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model
ICLR 2025
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
ICLR 2025
DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables
CVPR 2025
IDOL: Instant Photorealistic 3D Human Creation from a Single Image
CVPR 2025
HyperSeg: Hybrid Segmentation Assistant with Fine-grained Visual Perceiver
CVPR 2025
LLM2: Let Large Language Models Harness System 2 Reasoning
NAACL 2025
Scalable Image Tokenization with Index Backpropagation Quantization
ICCV 2025
InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language Models
ICCV 2025
Taming Lookup Tables for Efficient Image Retouching
ECCV 2024
A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment
ECCV 2024
Weight-Inherited Distillation for Task-Agnostic BERT Compression
NAACL 2024
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
ICLR 2024
Continuous Invariance Learning
ICLR 2024
Spurious Feature Diversification Improves Out-of-distribution Generalization
ICLR 2024
SciAgent: Tool-augmented Language Models for Scientific Reasoning
EMNLP 2024
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
EMNLP 2024
HoLLMwood: Unleashing the Creativity of Large Language Models in Screenwriting via Role Playing
EMNLP 2024
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
NIPS 2024
Unchosen Experts Can Contribute Too: Unleashing MoE Modelsβ Power by Self-Contrast
NIPS 2024
ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models
EMNLP 2024
A Thorough Examination of Decoding Methods in the Era of LLMs
EMNLP 2024
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL
EMNLP 2024
Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection
CVPR 2024
Not All Tokens Are What You Need for Pretraining
NIPS 2024
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
NIPS 2024
CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
ACL 2024
TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild
ACL 2024
Incremental Residual Concept Bottleneck Models
CVPR 2024
Universal Segmentation at Arbitrary Granularity with Language Instruction
CVPR 2024
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training
ACL 2024
Addressing Entity Translation Problem via Translation Difficulty and Context Diversity
ACL 2024
CoSeR: Bridging Image and Language for Cognitive Super-Resolution
CVPR 2024
Rolling Shutter Correction with Intermediate Distortion Flow Estimation
CVPR 2024
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models
NIPS 2024
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
ICLR 2024
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
ICLR 2024
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions
NAACL 2024
Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling
IJCAI 2024
Prior Relational Schema Assists Effective Contrastive Learning for Inductive Knowledge Graph Completion
COLING 2024
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
ICML 2023
SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
NIPS 2023
Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
NIPS 2023
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
ACL 2023
Solving Math Word Problems via Cooperative Reasoning induced Language Models
ACL 2023
AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models
ACL 2023
NewsDialogues: Towards Proactive News Grounded Conversation
ACL 2023
Seeing What You Miss: Vision-Language Pre-Training With Semantic Completion Learning
CVPR 2023
3D GAN Inversion With Facial Symmetry Prior
CVPR 2023
GLeaD: Improving GANs With a Generator-Leading Task
CVPR 2023
RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer
CVPR 2023
MAP: Multimodal Uncertainty-Aware Vision-Language Pre-Training Model
CVPR 2023
Enhancing Dialogue Generation with Conversational Concept Flows
EACL 2023
ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification
EACL 2023
Question Answering as Programming for Solving Time-Sensitive Questions
EMNLP 2023
Specialist or Generalist? Instruction Tuning for Specific NLP Tasks
EMNLP 2023
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation
ICCV 2023
Masked Autoencoders Are Stronger Knowledge Distillers
ICCV 2023
ToonTalker: Cross-Domain Face Reenactment
ICCV 2023
UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors
ICCV 2023
Feature Expansion for Graph Neural Networks
ICML 2023
Rethinking Alignment in Video Super-Resolution Transformers
NIPS 2022
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN
ECCV 2022
EmpHi: Generating Empathetic Responses with Human-like Intents
NAACL 2022
Augmenting Anchors by the Detector Itself
IJCAI 2022
High-Fidelity GAN Inversion with Padding Space
ECCV 2022
IIGROUP Submissions for WMT22 Word-Level AutoCompletion Task
EMNLP 2022
Accelerating Neural Network Optimization Through an Automated Control Theory Lens
CVPR 2022
Learning Adaptive Warping for Real-World Rolling Shutter Correction
CVPR 2022
Global Spectral Filter Memory Network for Video Object Segmentation
ECCV 2022
Learning Quality-Aware Dynamic Memory for Video Object Segmentation
ECCV 2022
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
CVPR 2021
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation
CVPR 2021
Adder Attention for Vision Transformer
NIPS 2021
MIRTT: Learning Multimodal Interaction Representations from Trilinear Transformers for Visual Question Answering
EMNLP 2021
DT-QDC: A Dataset for Question Comprehension in Online Test
COLING 2020
HGCN4MeSH: Hybrid Graph Convolution Network for MeSH Indexing
ACL 2020
Topic Enhanced Controllable CVAE for Dialogue Generation (Student Abstract)
AAAI 2020
Sparse Adversarial Attack via Perturbation Factorization
ECCV 2020
Compressing Convolutional Neural Networks via Factorized Convolutional Filters
CVPR 2019
A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification
AAAI 2019
Multi-glance Reading Model for Text Understanding
ACL 2018
A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification
ACL 2018
Latent Community Discovery with Network Regularization for Core Actors Clustering
COLING 2012