Tianshu Yu
23 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (12)
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(7)
🏆
Keyword Champion
🏆
Grand Slam
🔥
Unstoppable
(6)
🚀
Conference Pioneer
💎
Century Club
(22)
⚡
Prolific Year
(7)
📈
Trend Setter
🗃️
Keyword Collector
(98)
Conferences
ICLR (4)
ACL (3)
CVPR (3)
ICML (3)
NIPS (3)
AAAI (2)
ECCV (2)
COLING (1)
EMNLP (1)
NAACL (1)
Top co-authors
Keywords
graph matching
(5)
graph neural network
(4)
deep learning
(2)
multimodal sentiment analysis
(2)
discrete optimization
(2)
large language model
(2)
few-shot learning
(1)
feature learning
(1)
transformer architecture
(1)
attention mechanism
(1)
question answering
(1)
speech processing
(1)
text generation
(1)
preference optimization
(1)
prototype learning
(1)
reinforcement learning
(1)
flow matching
(1)
geometric deep learning
(1)
sentiment classification
(1)
multimodal learning
(1)
Papers
Physically-Informed Flow Matching with Graph Neural Networks for Complex Fluid Dynamics
AAAI 2026
Generating Physical Dynamics under Priors
ICLR 2025
Sampling from Binary Quadratic Distributions via Stochastic Localization
ICML 2025
HyperPLR: Hypergraph Generation through Projection, Learning, and Reconstruction
ICLR 2025
Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining
AAAI 2025
Unsupervised Speech-text word-level alignment with Dynamic Programming
NAACL 2025
ReKG-MCTS: Reinforcing LLM Reasoning on Knowledge Graphs via Training-Free Monte Carlo Tree Search
ACL 2025
Training Language Model to Critique for Better Refinement
ACL 2025
Towards Robust Multimodal Sentiment Analysis with Incomplete Data
NIPS 2024
Boosting Graph Pooling with Persistent Homology
NIPS 2024
Learning to Decouple Complex Systems
ICML 2023
Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment
ACL 2023
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis
EMNLP 2023
Dependency-aware Prototype Learning for Few-shot Relation Classification
COLING 2022
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding
CVPR 2021
Deep Latent Graph Matching
ICML 2021
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient
ICLR 2020
Determinant Regularization for Gradient-Efficient Graph Matching
CVPR 2020
RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos
ECCV 2020
Learning deep graph matching with channel-independent embedding and Hungarian attention
ICLR 2020
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering
ECCV 2018
Joint Cuts and Matching of Partitions in One Graph
CVPR 2018
Generalizing Graph Matching beyond Quadratic Assignment Model
NIPS 2018