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← Authors

Liqun Chen

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

Achievements

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+14 more ↓ 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (8) πŸ—ΊοΈ Taxonomy Completionist (60)
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