| 2026 | WACV | DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models. | Xiaoxiao He, Quan Dao, Ligong Han, Song Wen, Minhao Bai, Di Liu, Han Zhang, Felix Juefei-Xu, Chaowei Tan, Bo Liu, Martin Renqiang Min, Kang Li, Faez Ahmed, Akash Srivastava, Hongdong Li, Junzhou Huang, Dimitris N. Metaxas |
| 2026 | WACV | Distilling Offline Action Detection Models into Real-Time Streaming Models. | Deep Anil Patel, Yasunori Babazaki, Yasuto Nagase, Iain Melvin, Martin Renqiang Min |
| 2025 | AAAI | Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation. | Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min |
| 2025 | ICML | PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design. | Zhenqiao Song, Tianxiao Li, Lei Li, Martin Renqiang Min |
| 2025 | IJCNLP | EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation. | Kai Zhang, Christopher Malon, Lichao Sun, Martin Renqiang Min |
| 2025 | KDD | Identifying Combinatorial Regulatory Genes for Cell Fate Decision via Reparameterizable Subset Explanations. | Junhao Liu, Pengpeng Zhang, Martin Renqiang Min, Jing Zhang |
| 2025 | WACV | Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection. | Wentao Bao, Kai Li, Yuxiao Chen, Deep Patel, Martin Renqiang Min, Yu Kong |
| 2024 | ACML | Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations. | Junhao Liu, Siwei Xu, Dylan Riffle, Ziheng Duan, Martin Renqiang Min, Jing Zhang |
| 2024 | CVPR | Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers. | Xin Hu, Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min, Zhengming Ding |
| 2024 | CVPR | Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos. | Kumaranage Ravindu Yasas Nagasinghe, Honglu Zhou, Malitha Gunawardhana, Martin Renqiang Min, Daniel Harari, Muhammad Haris Khan |
| 2024 | ECCV | Learning to Localize Actions in Instructional Videos with LLM-Based Multi-pathway Text-Video Alignment. | Yuxiao Chen, Kai Li, Wentao Bao, Deep Patel, Yu Kong, Martin Renqiang Min, Dimitris N. Metaxas |
| 2024 | EMNLP | Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models. | Zi'ou Zheng, Christopher Malon, Martin Renqiang Min, Xiaodan Zhu |
| 2023 | CVPR | Source-Free Video Domain Adaptation with Spatial-Temporal-Historical Consistency Learning. | Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min |
| 2023 | CVPR | Conditional Image-to-Video Generation with Latent Flow Diffusion Models. | Haomiao Ni, Changhao Shi, Kai Li, Sharon X. Huang, Martin Renqiang Min |
| 2023 | CVPR | Exploring Compositional Visual Generation with Latent Classifier Guidance. | Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min |
| 2023 | ICCV | Few-Shot Video Classification via Representation Fusion and Promotion Learning. | Haifeng Xia, Kai Li, Martin Renqiang Min, Zhengming Ding |
| 2023 | RECOMB | T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy. | Ziqi Chen, Martin Renqiang Min, Hongyu Guo, Chao Cheng, Trevor Clancy, Xia Ning |
| 2022 | CVPR | StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis. | Zhiheng Li, Martin Renqiang Min, Kai Li, Chenliang Xu |
| 2022 | ICLR | Learning Transferable Reward for Query Object Localization with Policy Adaptation. | Tingfeng Li, Shaobo Han, Martin Renqiang Min, Dimitris N. Metaxas |
| 2022 | KDD | T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-Labeling. | Yiren Jian, Erik Kruus, Martin Renqiang Min |
| 2022 | WACV | AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. | Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas |
| 2021 | EMNLP | Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning. | Zhan Shi, Hui Liu, Martin Renqiang Min, Christopher Malon, Li Erran Li, Xiaodan Zhu |
| 2021 | ICCV | Dual Projection Generative Adversarial Networks for Conditional Image Generation. | Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas |
| 2021 | ICCV | Towards Robustness of Deep Neural Networks via Regularization. | Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh |
| 2021 | ICLR | Disentangled Recurrent Wasserstein Autoencoder. | Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang |
| 2021 | ICLR | Hopper: Multi-hop Transformer for Spatiotemporal Reasoning. | Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf |
| 2020 | ACL | Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. | Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin |
| 2020 | CVPR | S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. | Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf |
| 2019 | CIKM | On Novel Object Recognition: A Unified Framework for Discriminability and Adaptability. | Kai Li, Martin Renqiang Min, Bing Bai, Yun Fu, Hans Peter Graf |
| 2019 | ICCV | Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective. | Kai Li, Martin Renqiang Min, Yun Fu |
| 2019 | IJCAI | Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis. | Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf |
| 2019 | IJCAI | Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval. | Xiaoyuan Liang, Martin Renqiang Min, Hongyu Guo, Guiling Wang |
| 2019 | SDM | A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction. | Xiaoyuan Liang, Guiling Wang, Martin Renqiang Min, Yi Qi, Zhu Han |
| 2018 | AAAI | Video Generation From Text. | Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin |
| 2018 | AAAI | Adaptive Feature Abstraction for Translating Video to Text. | Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin |
| 2018 | ACL | Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. | Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin |
| 2018 | EMNLP | Learning Context-Aware Convolutional Filters for Text Processing. | Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin |
| 2018 | ICLR | Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection. | Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Dae-ki Cho, Haifeng Chen |
| 2018 | ICML | Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations. | Ting Chen, Martin Renqiang Min, Yizhou Sun |
| 2017 | ICLR | Adaptive Feature Abstraction for Translating Video to Language. | Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin |
| 2017 | IJCAI | Exemplar-centered Supervised Shallow Parametric Data Embedding. | Martin Renqiang Min, Hongyu Guo, Dongjin Song |
| 2017 | KDD | A Context-aware Attention Network for Interactive Question Answering. | Huayu Li, Martin Renqiang Min, Yong Ge, Asim Kadav |
| 2014 | AISTATS | Interpretable Sparse High-Order Boltzmann Machines. | Martin Renqiang Min, Xia Ning, Chao Cheng, Mark Gerstein |
| 2014 | KDD | Factorized sparse learning models with interpretable high order feature interactions. | Sanjay Purushotham, Martin Renqiang Min, C.-C. Jay Kuo, Rachel Ostroff |
| 2014 | PSB | An Integrated Approach To Blood-Based Cancer Diagnosis And Biomarker Discovery. | Martin Renqiang Min, Salim A. Chowdhury, Yanjun Qi, Alex Stewart, Rachel Ostroff |
| 2014 | SIGIR | Deep Semantic Embedding. | Hao Wu, Martin Renqiang Min, Bing Bai |
| 2010 | ICML | Deep Supervised t-Distributed Embedding. | Martin Renqiang Min, Laurens van der Maaten, Zineng Yuan, Anthony J. Bonner, Zhaolei Zhang |
| 2009 | ICDM | A Deep Non-linear Feature Mapping for Large-Margin kNN Classification. | Martin Renqiang Min, David A. Stanley, Zineng Yuan, Anthony J. Bonner, Zhaolei Zhang |
| 2009 | SDM | Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery. | Martin Renqiang Min, Rui Kuang, Anthony J. Bonner, Zhaolei Zhang |
| 2007 | ICMLA | Modifying kernels using label information improves SVM classification performance. | Martin Renqiang Min, Anthony J. Bonner, Zhaolei Zhang |