Yuqing Yang
47 papers · 2021–2026 · 13 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (75) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(19)
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Mega-Team Β· Squad
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Keyword Pioneer
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Grand Slam
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Topic Evolution
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Dynamic Duo
(23)
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Renaissance Researcher
(8)
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Unstoppable Β· Bronze
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Prolific Year Β· Prolific
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Century Club Β· Bronze
ποΈ
Keyword Collector
(213)
Venues
Top co-authors
Research topics
Machine Learning
(34)
Artificial Intelligence
(27)
Core AI
(27)
Deep Learning
(21)
Application Areas
(21)
Natural Language Processing
(12)
Learning Types
(12)
Optimization & Theory Β· Deep Learning
(9)
Optimization & Theory Β· Machine Learning
(9)
Techniques
(8)
Resources & Methods
(7)
Architectures
(6)
Models
(6)
Computer Vision
(5)
Core Methods
(5)
Keywords
large language model
(14)
model compression
(6)
prompt compression
(5)
inference optimization
(4)
in-context learning
(4)
long context
(4)
transfer learning
(3)
position bia
(3)
evaluation benchmark
(2)
domain adaptation
(2)
vision-language model
(2)
contrastive learning
(2)
vision transformer
(2)
memory optimization
(2)
reinforcement learning
(2)
language model
(2)
neural architecture search
(2)
attention mechanism
(2)
efficient computing
(2)
document-level extraction
(2)
Papers
AVA: Towards Agentic Video Analytics with Vision Language Models
NSDI 2026
HiTVideo: Hierarchical Tokenizers for Enhancing Text-to-Video Generation with Autoregressive Large Language Models
AAAI 2026
LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation
AAAI 2026
Region-Adaptive Sampling for Diffusion Transformers
CVPR 2026
When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors
ACL 2026
An Empirical Study of Position Bias in Modern Information Retrieval
EMNLP 2025
LeanK: Learnable K Cache Channel Pruning for Efficient Decoding
EMNLP 2025
Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel
ACL 2025
MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention
ICML 2025
On the Out-Of-Distribution Generalization of Large Multimodal Models
CVPR 2025
SCBench: A KV Cache-Centric Analysis of Long-Context Methods
ICLR 2025
SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
ICLR 2025
Alignment for Honesty
NeurIPS 2024
Benchmarking Data Science Agents
ACL 2024
Full Parameter Fine-tuning for Large Language Models with Limited Resources
ACL 2024
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation
OSDI 2024
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
ACL 2024
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
ACL 2024
LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning
EMNLP 2024
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
NeurIPS 2024
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks
EACL 2024
OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
NeurIPS 2024
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
OSDI 2024
Position Engineering: Boosting Large Language Models through Positional Information Manipulation
EMNLP 2024
Unified Medical Image Pre-training in Language-Guided Common Semantic Space
ECCV 2024
Weak-to-Strong Reasoning
EMNLP 2024
Accurate and Structured Pruning for Efficient Automatic Speech Recognition
Interspeech 2023
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction
ACL 2023
Attentive Mask CLIP
ICCV 2023
CoLLiE: Collaborative Training of Large Language Models in an Efficient Way
EMNLP 2023
EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention
CVPR 2023
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
ICCV 2023
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
Interspeech 2023
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
NeurIPS 2023
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
EMNLP 2023
Optimizing Dynamic Neural Networks with Brainstorm
OSDI 2023
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts
EMNLP 2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
ICCV 2023
Towards Inference Efficient Deep Ensemble Learning
AAAI 2023
VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity
OSDI 2023
DORE: Document Ordered Relation Extraction based on Generative Framework
EMNLP 2022
Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
Interspeech 2022
Privacy-Preserving Online AutoML for Domain-Specific Face Detection
CVPR 2022
Reinforcement Learning with Automated Auxiliary Loss Search
NeurIPS 2022
SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
OSDI 2022
Variational oracle guiding for reinforcement learning
ICLR 2022
Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification
EMNLP 2021