Martin Renqiang Min

DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models WACV 2026 Distilling Offline Action Detection Models into Real-Time Streaming Models WACV 2026 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 Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation AAAI 2025 PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design ICML 2025 Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models EMNLP 2024 Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment ECCV 2024 Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations ACML 2024 Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos CVPR 2024 Conditional Image-to-Video Generation With Latent Flow Diffusion Models CVPR 2023 Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering NeurIPS 2023 Few-Shot Video Classification via Representation Fusion and Promotion Learning ICCV 2023 Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning CVPR 2023 AE-StyleGAN: Improved Training of Style-Based Auto-Encoders WACV 2022 Learning Transferable Reward for Query Object Localization with Policy Adaptation ICLR 2022 StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis CVPR 2022 Disentangled Recurrent Wasserstein Autoencoder ICLR 2021 Dual Projection Generative Adversarial Networks for Conditional Image Generation ICCV 2021 Hopper: Multi-hop Transformer for Spatiotemporal Reasoning ICLR 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 Improving Disentangled Text Representation Learning with Information-Theoretic Guidance ACL 2020 S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation CVPR 2020 Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis IJCAI 2019 Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval IJCAI 2019 Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective ICCV 2019 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 Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations ICML 2018 Exemplar-centered Supervised Shallow Parametric Data Embedding IJCAI 2017 Interpretable Sparse High-Order Boltzmann Machines AISTATS 2014