Liangliang Shi
12 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (24) 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(11)
🏆
Grand Slam
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(7)
Learning Types · Machine Learning
(6)
Deep Learning
(4)
Core Methods
(4)
Mathematics & Optimization
(3)
Learning Types · Deep Learning
(3)
Optimization
(3)
Models
(2)
Artificial Intelligence
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Speech & Audio
(1)
Application Areas
(1)
Applications
(1)
Keywords
optimal transport
(6)
entropic regularization
(3)
representation learning
(2)
generative adversarial network
(2)
long-tailed classification
(2)
latent space
(2)
long-tailed distribution
(2)
mode collapse
(2)
adversarial learning
(2)
transfer learning
(1)
maximum likelihood estimation
(1)
discriminative learning
(1)
bilevel optimization
(1)
image generation
(1)
contrastive learning
(1)
automatic speech recognition
(1)
cross-entropy loss
(1)
neural machine translation
(1)
model ensemble
(1)
sinkhorn algorithm
(1)
Papers
DSBRouter: End-to-end Global Routing via Diffusion Schrödinger Bridge
ICML 2025
Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction
ICLR 2025
SelKD: Selective Knowledge Distillation via Optimal Transport Perspective
ICLR 2025
Double-Bounded Optimal Transport for Advanced Clustering and Classification
AAAI 2024
OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
ICML 2024
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse
IJCAI 2023
Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification
NeurIPS 2023
Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective
ICML 2023
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space
NeurIPS 2022
AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning
ECCV 2020
Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning
IJCAI 2018
The Sogou-TIIC Speech Translation System for IWSLT 2018
EMNLP 2018