Yuchen Li
23 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
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Conferences
AAAI (6)
ICML (5)
ACL (3)
NIPS (3)
IJCAI (2)
AISTATS (1)
CVPR (1)
ECCV (1)
IJCNLP (1)
Top co-authors
Keywords
representation learning
(3)
data augmentation
(3)
constituency parsing
(2)
neural network optimization
(2)
point cloud
(2)
learning to rank
(2)
unsupervised parsing
(2)
feature learning
(1)
information retrieval
(1)
semi-supervised learning
(1)
graph representation learning
(1)
attention mechanism
(1)
multi-label classification
(1)
autonomous driving
(1)
link prediction
(1)
dynamic routing
(1)
object detection
(1)
feature embedding
(1)
model analysis
(1)
latent dirichlet allocation
(1)
Papers
ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability
ACL 2026
Efficient Thought Space Exploration Through Strategic Intervention
AAAI 2026
VPN: Visual Prompt Navigation
AAAI 2026
AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization
AAAI 2026
Enhancing Retrieval-Augmented Generation via Evidence Tree Search
ACL 2025
On the Query Complexity of Verifier-Assisted Language Generation
ICML 2025
HPS: Hard Preference Sampling for Human Preference Alignment
ICML 2025
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning
AAAI 2025
MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse
AAAI 2025
HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links
NIPS 2024
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract)
IJCAI 2024
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract)
IJCAI 2024
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
ICML 2024
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
ICML 2024
How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
ICML 2023
Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars
NIPS 2023
AutoMine: An Unmanned Mine Dataset
CVPR 2022
3D CoMPaT: Composition of Materials on Parts of 3D Things
ECCV 2022
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
NIPS 2022
Contrasting the landscape of contrastive and non-contrastive learning
AISTATS 2022
The Limitations of Limited Context for Constituency Parsing
IJCNLP 2021
The Limitations of Limited Context for Constituency Parsing
ACL 2021
Social Influence Does Matter: User Action Prediction for In-Feed Advertising
AAAI 2020