Yuqing Wang
24 papers · 2017–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (10)
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Conference Polyglot
(10)
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Academic Marathon
(8)
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Cross-Pollinator
(11)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(112)
π₯
Unstoppable
(6)
β‘
Prolific Year
(7)
β
The Questioner
(2)
π
Trend Setter
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Century Club
(24)
Conferences
CVPR (5)
NIPS (5)
ICLR (3)
ACL (2)
IJCAI (2)
MLHC (2)
NAACL (2)
EMNLP (1)
ICCV (1)
JMLR (1)
Top co-authors
Keywords
semantic segmentation
(3)
large language model
(3)
video generation
(2)
object detection
(2)
gradient descent
(2)
image generation
(2)
convergence rate
(2)
autoregressive model
(2)
mask prediction
(2)
nonconvex optimization
(2)
question answering
(2)
video captioning
(1)
few-shot learning
(1)
attention mechanism
(1)
prototype learning
(1)
vision transformer
(1)
neural tangent kernel
(1)
named entity recognition
(1)
matrix factorization
(1)
prompt engineering
(1)
Papers
Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult
JMLR 2025
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models
ICLR 2025
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
ACL 2025
Parametric Point Cloud Completion for Polygonal Surface Reconstruction
CVPR 2025
Parallelized Autoregressive Visual Generation
CVPR 2025
Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation
ICCV 2025
SportQA: A Benchmark for Sports Understanding in Large Language Models
NAACL 2024
Metacognitive Prompting Improves Understanding in Large Language Models
NAACL 2024
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
MLHC 2024
LVD-2M: A Long-take Video Dataset with Temporally Dense Captions
NIPS 2024
Evaluating the design space of diffusion-based generative models
NIPS 2024
Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks
NIPS 2024
TRAM: Benchmarking Temporal Reasoning for Large Language Models
ACL 2024
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction
EMNLP 2023
DeepVecFont-v2: Exploiting Transformers To Synthesize Vector Fonts With Higher Quality
CVPR 2023
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport
ICLR 2023
Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation
IJCAI 2023
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding
MLHC 2023
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect
ICLR 2022
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
NIPS 2021
End-to-End Video Instance Segmentation With Transformers
CVPR 2021
CenterMask: Single Shot Instance Segmentation With Point Representation
CVPR 2020
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? --- A Neural Tangent Kernel Perspective
NIPS 2020
Score Aggregation via Spectral Method
IJCAI 2017