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Martin Renqiang Min

34 papers · 2014–2026 · 15 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (8) 🌍 Conference Polyglot (15) πŸƒ Academic Marathon (12) πŸ—ΊοΈ Taxonomy Completionist (55)
πŸ—ΊοΈ Taxonomy Completionist (55) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🧬 Topic Evolution πŸ† Grand Slam ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (34) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (156) πŸ”₯ Unstoppable (10) ❓ The Questioner

Conferences

CVPR (5) ICCV (4) ICLR (4) WACV (4) EMNLP (3) IJCAI (3) ACL (2) ICML (2) AAAI (1) AACL (1) ACML (1) AISTATS (1) ECCV (1) IJCNLP (1) NIPS (1)

Top co-authors

Kai Li (7) Christopher Malon (5) Ligong Han (4) Dimitris N. Metaxas (4) Deep Patel (3) Hans Peter Graf (3) Lawrence Carin (3) Hongyu Guo (3) Tianxiao Li (3) Dinghan Shen (3)

Keywords

latent space (3) video generation (3) reinforcement learning (3) disentangled representation (3) temporal modeling (2) representation learning (2) medical image analysis (2) image generation (2) chest x-ray (2) radiology report generation (2) multimodal learning (2) generative model (2) action recognition (1) stochastic gradient descent (1) few-shot learning (1) reward modeling (1) causal inference (1) adversarial robustness (1) natural language processing (1) vision transformer (1)

Papers

DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models WACV 2026 Distilling Offline Action Detection Models into Real-Time Streaming Models WACV 2026 Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation AAAI 2025 EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation IJCNLP 2025 Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection WACV 2025 EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation AACL 2025 PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design ICML 2025 Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations ACML 2024 Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment ECCV 2024 Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models EMNLP 2024 Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos CVPR 2024 Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering NIPS 2023 Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning CVPR 2023 Conditional Image-to-Video Generation With Latent Flow Diffusion Models CVPR 2023 Few-Shot Video Classification via Representation Fusion and Promotion Learning ICCV 2023 AE-StyleGAN: Improved Training of Style-Based Auto-Encoders WACV 2022 StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis CVPR 2022 Learning Transferable Reward for Query Object Localization with Policy Adaptation ICLR 2022 Hopper: Multi-hop Transformer for Spatiotemporal Reasoning ICLR 2021 Disentangled Recurrent Wasserstein Autoencoder ICLR 2021 Dual Projection Generative Adversarial Networks for Conditional Image Generation ICCV 2021 Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning EMNLP 2021 Towards Robustness of Deep Neural Networks via Regularization ICCV 2021 S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation CVPR 2020 Improving Disentangled Text Representation Learning with Information-Theoretic Guidance ACL 2020 Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis IJCAI 2019 Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective ICCV 2019 Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval IJCAI 2019 Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations ICML 2018 Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms ACL 2018 Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection ICLR 2018 Learning Context-Sensitive Convolutional Filters for Text Processing EMNLP 2018 Exemplar-centered Supervised Shallow Parametric Data Embedding IJCAI 2017 Interpretable Sparse High-Order Boltzmann Machines AISTATS 2014