Liqun Chen
31 papers · 2017–2026 · 9 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 (60) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Dynamic Duo
(17)
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Topic Evolution
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Grand Slam
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Keyword Champion
(2)
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Prolific Year Β· Productive
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Unstoppable Β· Silver
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The Questioner
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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Trend Setter
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Keyword Collector
(149)
Top co-authors
Research topics
Machine Learning
(27)
Deep Learning
(18)
Learning Types Β· Machine Learning
(17)
Core Methods
(11)
Learning Types Β· Deep Learning
(11)
Models
(10)
Optimization & Theory
(8)
Computer Vision
(7)
Natural Language Processing
(7)
Artificial Intelligence
(6)
Generation Β· Natural Language Processing
(6)
Generation Β· Computer Vision
(5)
Mathematics & Optimization
(4)
Architectures
(4)
Application Areas
(3)
Keywords
optimal transport
(6)
variational autoencoder
(5)
contrastive learning
(5)
generative model
(4)
generative adversarial network
(4)
representation learning
(4)
text generation
(4)
diffusion model
(3)
network embedding
(3)
machine translation
(3)
knowledge distillation
(3)
semi-supervised learning
(2)
adversarial learning
(2)
mutual information
(2)
maximum likelihood estimation
(2)
image captioning
(2)
variational inference
(2)
sequence generation
(2)
graph representation
(2)
density estimation
(2)
Papers
Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models
AAAI 2026
A Physics-Informed Blur Learning Framework for Imaging Systems
CVPR 2025
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes
AAAI 2025
High-dimension Prototype is a Better Incremental Object Detection Learner
ICLR 2025
Make Lossy Compression Meaningful for Low-Light Images
AAAI 2024
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning
CVPR 2023
Multi-Modal Alignment Using Representation Codebook
CVPR 2022
Vision-Language Pre-Training With Triple Contrastive Learning
CVPR 2022
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective
NeurIPS 2022
Contextualized Perturbation for Textual Adversarial Attack
NAACL 2021
SpanPredict: Extraction of Predictive Document Spans with Neural Attention
NAACL 2021
Wasserstein Contrastive Representation Distillation
CVPR 2021
Dynamic Embedding on Textual Networks via a Gaussian Process
AAAI 2020
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
AAAI 2020
Graph Optimal Transport for Cross-Domain Alignment
ICML 2020
Improving Text Generation with Student-Forcing Optimal Transport
EMNLP 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning
AAAI 2020
Improving Sequence-to-Sequence Learning via Optimal Transport
ICLR 2019
Improving Textual Network Embedding with Global Attention via Optimal Transport
ACL 2019
Improving Textual Network Learning with Variational Homophilic Embeddings
NeurIPS 2019
On Fenchel Mini-Max Learning
NeurIPS 2019
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models
ACL 2019
Variational Annealing of GANs: A Langevin Perspective
ICML 2019
Adversarial Text Generation via Feature-Mover's Distance
NeurIPS 2018
Chi-square Generative Adversarial Network
ICML 2018
Continuous-Time Flows for Efficient Inference and Density Estimation
ICML 2018
Symmetric Variational Autoencoder and Connections to Adversarial Learning
AISTATS 2018
Variational Inference and Model Selection with Generalized Evidence Bounds
ICML 2018
Adversarial Symmetric Variational Autoencoder
NeurIPS 2017
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
NeurIPS 2017
Triangle Generative Adversarial Networks
NeurIPS 2017