← Authors

Liqun Chen

31 papers · 2017–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (8) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (60) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Keyword Champion 🀝 Dynamic Duo (17) πŸ† Grand Slam 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (143) πŸ“ˆ Trend Setter ❓ The Questioner ⚑ Prolific Year (5) πŸ’Ž Century Club (30)

Conferences

NIPS (7) AAAI (6) CVPR (5) ICML (5) ACL (2) ICLR (2) NAACL (2) AISTATS (1) EMNLP (1)

Top co-authors

Lawrence Carin (17) Chenyang Tao (10) Zhe Gan (8) Ricardo Henao (8) Yizhe Zhang (8) Chunyuan Li (6) Wenlin Wang (6) Ruiyi Zhang (6) Guoyin Wang (6) Changyou Chen (6)

Keywords

optimal transport (5) variational autoencoder (5) contrastive learning (5) generative model (4) representation learning (4) text generation (4) generative adversarial network (4) diffusion model (3) network embedding (3) semi-supervised learning (2) adversarial learning (2) graph representation (2) multi-modal learning (2) distribution matching (2) knowledge distillation (2) machine translation (2) density estimation (2) variational inference (2) sequence generation (2) mutual information (2)

Papers

Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models AAAI 2026
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
A Physics-Informed Blur Learning Framework for Imaging Systems CVPR 2025
Make Lossy Compression Meaningful for Low-Light Images AAAI 2024
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning CVPR 2023
Vision-Language Pre-Training With Triple Contrastive Learning CVPR 2022
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective NIPS 2022
Multi-Modal Alignment Using Representation Codebook CVPR 2022
Wasserstein Contrastive Representation Distillation CVPR 2021
Contextualized Perturbation for Textual Adversarial Attack NAACL 2021
SpanPredict: Extraction of Predictive Document Spans with Neural Attention NAACL 2021
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning AAAI 2020
Dynamic Embedding on Textual Networks via a Gaussian Process AAAI 2020
Graph Optimal Transport for Cross-Domain Alignment ICML 2020
Improving Text Generation with Student-Forcing Optimal Transport EMNLP 2020
Graph-Driven Generative Models for Heterogeneous Multi-Task 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
On Fenchel Mini-Max Learning NIPS 2019
Improving Textual Network Learning with Variational Homophilic Embeddings NIPS 2019
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models ACL 2019
Variational Annealing of GANs: A Langevin Perspective ICML 2019
Continuous-Time Flows for Efficient Inference and Density Estimation ICML 2018
Variational Inference and Model Selection with Generalized Evidence Bounds ICML 2018
Chi-square Generative Adversarial Network ICML 2018
Symmetric Variational Autoencoder and Connections to Adversarial Learning AISTATS 2018
Adversarial Text Generation via Feature-Mover's Distance NIPS 2018
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching NIPS 2017
Adversarial Symmetric Variational Autoencoder NIPS 2017
Triangle Generative Adversarial Networks NIPS 2017