Martin Renqiang Min

106 papers A* 29A 6B 1C 2Misc 1Journal 55Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Attribute-Centric Compositional Text-to-Image Generation. Int. J. Comput. Vis. Yuren Cong, Martin Renqiang Min, Li Erran Li, Bodo Rosenhahn, Michael Ying Yang
2025	J	`jnl`	DiscussLLM: Teaching Large Language Models When to Speak. CoRR Deep Anil Patel, Iain Melvin, Christopher Malon, Martin Renqiang Min
2025	—	`conf`	EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation. IJCNLP-AACL (Short Papers) Kai Zhang, Christopher Malon, Lichao Sun, Martin Renqiang Min
2025	J	`jnl`	EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation. CoRR Kai Zhang, Christopher Malon, Lichao Sun, Martin Renqiang Min
2025	A	`conf`	Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection. WACV Wentao Bao, Kai Li, Yuxiao Chen, Deep Patel, Martin Renqiang Min, Yu Kong
2025	J	`jnl`	Group Relative Augmentation for Data Efficient Action Detection. CoRR Deep Anil Patel, Iain Melvin, Zachary Izzo, Martin Renqiang Min
2025	—	`conf`	Identifying Combinatorial Regulatory Genes for Cell Fate Decision via Reparameterizable Subset Explanations. KDD (2) Junhao Liu, Pengpeng Zhang, Martin Renqiang Min, Jing Zhang
2025	A*	`conf`	Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation. AAAI Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min
2025	J	`jnl`	Object-Aware 4D Human Motion Generation. CoRR Shurui Gui, Deep Anil Patel, Xiner Li, Martin Renqiang Min
2025	A*	`conf`	PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design. ICML Zhenqiao Song, Tianxiao Li, Lei Li, Martin Renqiang Min
2025	J	`jnl`	PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design. CoRR Zhenqiao Song, Tiaoxiao Li, Lei Li, Martin Renqiang Min
2025	J	`jnl`	Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation. CoRR Yun-Wei Chu, Kai Zhang, Christopher Malon, Martin Renqiang Min
2025	J	`jnl`	Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach. CoRR Haoxuan Chen, Yinuo Ren, Martin Renqiang Min, Lexing Ying, Zachary Izzo
2024	J	`jnl`	Compositional 3D Scene Synthesis with Scene Graph Guided Layout-Shape Generation. CoRR Yao Wei, Martin Renqiang Min, George Vosselman, Li Erran Li, Michael Ying Yang
2024	J	`jnl`	DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models. CoRR Xiaoxiao He, Ligong Han, Quan Dao, Song Wen, Minhao Bai, Di Liu, Han Zhang, Martin Renqiang Min, Felix Juefei-Xu, Chaowei Tan, Bo Liu, Kang Li, Hongdong Li, Junzhou Huang, Faez Ahmed, Akash Srivastava, Dimitris N. Metaxas
2024	J	`jnl`	Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection. CoRR Wentao Bao, Kai Li, Yuxiao Chen, Deep Patel, Martin Renqiang Min, Yu Kong
2024	A*	`conf`	Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models. EMNLP Zi'ou Zheng, Christopher Malon, Martin Renqiang Min, Xiaodan Zhu
2024	J	`jnl`	Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models. CoRR Zi'ou Zheng, Christopher Malon, Martin Renqiang Min, Xiaodan Zhu
2024	J	`jnl`	Impeller: a path-based heterogeneous graph learning method for spatial transcriptomic data imputation. Bioinform. Ziheng Duan, Dylan Riffle, Ren Li, Junhao Liu, Martin Renqiang Min, Jing Zhang
2024	J	`jnl`	Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation. CoRR Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min
2024	J	`jnl`	Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment. CoRR Yuxiao Chen, Kai Li, Wentao Bao, Deep Patel, Yu Kong, Martin Renqiang Min, Dimitris N. Metaxas
2024	—	`conf`	Learning to Localize Actions in Instructional Videos with LLM-Based Multi-pathway Text-Video Alignment. ECCV (82) Yuxiao Chen, Kai Li, Wentao Bao, Deep Patel, Yu Kong, Martin Renqiang Min, Dimitris N. Metaxas
2024	J	`jnl`	Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs. Bioinform. Tianci Song, Eric Cosatto, Gaoyuan Wang, Rui Kuang, Mark Gerstein, Martin Renqiang Min, Jonathan Warrell
2024	C	`conf`	Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations. ACML Junhao Liu, Siwei Xu, Dylan Riffle, Ziheng Duan, Martin Renqiang Min, Jing Zhang
2024	J	`jnl`	Variational methods for Learning Multilevel Genetic Algorithms using the Kantorovich Monad. CoRR Jonathan Warrell, Francesco Alesiani, Cameron Smith, Anja Mösch, Martin Renqiang Min
2024	—	`conf`	Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers. CVPR Workshops Xin Hu, Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min, Zhengming Ding
2024	A*	`conf`	Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos. CVPR Kumaranage Ravindu Yasas Nagasinghe, Honglu Zhou, Malitha Gunawardhana, Martin Renqiang Min, Daniel Harari, Muhammad Haris Khan
2024	J	`jnl`	Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos. CoRR Kumaranage Ravindu Yasas Nagasinghe, Honglu Zhou, Malitha Gunawardhana, Martin Renqiang Min, Daniel Harari, Muhammad Haris Khan
2023	J	`jnl`	Attentive Variational Information Bottleneck for TCR-peptide interaction prediction. Bioinform. Filippo Grazioli, Pierre Machart, Anja Mösch, Kai Li, Leonardo V. Castorina, Nico Pfeifer, Martin Renqiang Min
2023	J	`jnl`	Attribute-Centric Compositional Text-to-Image Generation. CoRR Yuren Cong, Martin Renqiang Min, Li Erran Li, Bodo Rosenhahn, Michael Ying Yang
2023	J	`jnl`	Binding peptide generation for MHC Class I proteins with deep reinforcement learning. Bioinform. Ziqi Chen, Baoyi Zhang, Hongyu Guo, Prashant S. Emani, Trevor Clancy, Chongming Jiang, Mark Gerstein, Xia Ning, Chao Cheng, Martin Renqiang Min
2023	A*	`conf`	Conditional Image-to-Video Generation with Latent Flow Diffusion Models. CVPR Haomiao Ni, Changhao Shi, Kai Li, Sharon X. Huang, Martin Renqiang Min
2023	J	`jnl`	Conditional Image-to-Video Generation with Latent Flow Diffusion Models. CoRR Haomiao Ni, Changhao Shi, Kai Li, Sharon X. Huang, Martin Renqiang Min
2023	A*	`conf`	Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering. NeurIPS Tianxiao Li, Hongyu Guo, Filippo Grazioli, Mark Gerstein, Martin Renqiang Min
2023	—	`conf`	Exploring Compositional Visual Generation with Latent Classifier Guidance. CVPR Workshops Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min
2023	J	`jnl`	Exploring Compositional Visual Generation with Latent Classifier Guidance. CoRR Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min
2023	A*	`conf`	Few-Shot Video Classification via Representation Fusion and Promotion Learning. ICCV Haifeng Xia, Kai Li, Martin Renqiang Min, Zhengming Ding
2023	A*	`conf`	Source-Free Video Domain Adaptation with Spatial-Temporal-Historical Consistency Learning. CVPR Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min
2023	B	`conf`	T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy. RECOMB Ziqi Chen, Martin Renqiang Min, Hongyu Guo, Chao Cheng, Trevor Clancy, Xia Ning
2023	J	`jnl`	T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy. CoRR Ziqi Chen, Martin Renqiang Min, Hongyu Guo, Chao Cheng, Trevor Clancy, Xia Ning
2022	A	`conf`	AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. WACV Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas
2022	A*	`conf`	Learning Transferable Reward for Query Object Localization with Policy Adaptation. ICLR Tingfeng Li, Shaobo Han, Martin Renqiang Min, Dimitris N. Metaxas
2022	J	`jnl`	Learning Transferable Reward for Query Object Localization with Policy Adaptation. CoRR Tingfeng Li, Shaobo Han, Martin Renqiang Min, Dimitris N. Metaxas
2022	A*	`conf`	StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis. CVPR Zhiheng Li, Martin Renqiang Min, Kai Li, Chenliang Xu
2022	J	`jnl`	StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis. CoRR Zhiheng Li, Martin Renqiang Min, Kai Li, Chenliang Xu
2022	A*	`conf`	T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-Labeling. KDD Yiren Jian, Erik Kruus, Martin Renqiang Min
2021	J	`jnl`	A deep generative model for molecule optimization via one fragment modification. Nat. Mach. Intell. Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, Xia Ning
2021	J	`jnl`	AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. CoRR Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas
2021	J	`jnl`	DECODE: a Deep-learning framework for Condensing enhancers and refining boundaries with large-scale functional assays. Bioinform. Zhanlin Chen, Jing Zhang, Jason Liu, Yi Dai, Donghoon Lee, Martin Renqiang Min, Min Xu, Mark Gerstein
2021	A*	`conf`	Disentangled Recurrent Wasserstein Autoencoder. ICLR Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang
2021	J	`jnl`	Disentangled Recurrent Wasserstein Autoencoder. CoRR Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang
2021	A*	`conf`	Dual Projection Generative Adversarial Networks for Conditional Image Generation. ICCV Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas
2021	J	`jnl`	Dual Projection Generative Adversarial Networks for Conditional Image Generation. CoRR Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas
2021	A*	`conf`	Hopper: Multi-hop Transformer for Spatiotemporal Reasoning. ICLR Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf
2021	J	`jnl`	Hopper: Multi-hop Transformer for Spatiotemporal Reasoning. CoRR Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf
2021	—	`conf`	Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning. EMNLP (Findings) Zhan Shi, Hui Liu, Martin Renqiang Min, Christopher Malon, Li Erran Li, Xiaodan Zhu
2021	A*	`conf`	Towards Robustness of Deep Neural Networks via Regularization. ICCV Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh
2020	A*	`conf`	Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. ACL Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin
2020	J	`jnl`	Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. CoRR Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin
2020	J	`jnl`	Molecule Optimization via Fragment-based Generative Models. CoRR Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, Xia Ning
2020	J	`jnl`	Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction. CoRR Ziqi Chen, Martin Renqiang Min, Xia Ning
2020	A*	`conf`	S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. CVPR Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf
2020	J	`jnl`	S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. CoRR Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf
2019	A	`conf`	A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction. SDM Xiaoyuan Liang, Guiling Wang, Martin Renqiang Min, Yi Qi, Zhu Han
2019	J	`jnl`	A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction. CoRR Xiaoyuan Liang, Guiling Wang, Martin Renqiang Min, Yi Qi, Zhu Han
2019	A*	`conf`	Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis. IJCAI Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf
2019	J	`jnl`	Disentangled Deep Autoencoding Regularization for Robust Image Classification. CoRR Zhenyu Duan, Martin Renqiang Min, Li Erran Li, Mingbo Cai, Yi Xu, Bingbing Ni
2019	A*	`conf`	Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval. IJCAI Xiaoyuan Liang, Martin Renqiang Min, Hongyu Guo, Guiling Wang
2019	A	`conf`	On Novel Object Recognition: A Unified Framework for Discriminability and Adaptability. CIKM Kai Li, Martin Renqiang Min, Bing Bai, Yun Fu, Hans Peter Graf
2019	A*	`conf`	Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective. ICCV Kai Li, Martin Renqiang Min, Yun Fu
2019	J	`jnl`	Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective. CoRR Kai Li, Martin Renqiang Min, Yun Fu
2018	A*	`conf`	Adaptive Feature Abstraction for Translating Video to Text. AAAI Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin
2018	—	`conf`	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. ACL (1) Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
2018	J	`jnl`	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. CoRR Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
2018	—	`conf`	Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection. ICLR (Poster) Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Dae-ki Cho, Haifeng Chen
2018	A*	`conf`	Learning Context-Aware Convolutional Filters for Text Processing. EMNLP Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin
2018	A*	`conf`	Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations. ICML Ting Chen, Martin Renqiang Min, Yizhou Sun
2018	J	`jnl`	Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations. CoRR Ting Chen, Martin Renqiang Min, Yizhou Sun
2018	J	`jnl`	Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding. CoRR Yao Li, Martin Renqiang Min, Wenchao Yu, Cho-Jui Hsieh, Thomas C. M. Lee, Erik Kruus
2018	—	`conf`	Parametric t-Distributed Stochastic Exemplar-Centered Embedding. ECML/PKDD (1) Martin Renqiang Min, Hongyu Guo, Dinghan Shen
2018	A*	`conf`	Video Generation From Text. AAAI Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin
2017	A*	`conf`	A Context-aware Attention Network for Interactive Question Answering. KDD Huayu Li, Martin Renqiang Min, Yong Ge, Asim Kadav
2017	J	`jnl`	Adaptive Convolutional Filter Generation for Natural Language Understanding. CoRR Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin
2017	—	`conf`	Adaptive Feature Abstraction for Translating Video to Language. ICLR (Workshop) Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin
2017	J	`jnl`	Exemplar-Centered Supervised Shallow Parametric Data Embedding. CoRR Martin Renqiang Min, Hongyu Guo, Dongjin Song
2017	A*	`conf`	Exemplar-centered Supervised Shallow Parametric Data Embedding. IJCAI Martin Renqiang Min, Hongyu Guo, Dongjin Song
2017	J	`jnl`	Learning K-way D-dimensional Discrete Code For Compact Embedding Representations. CoRR Ting Chen, Martin Renqiang Min, Yizhou Sun
2017	J	`jnl`	Parametric t-Distributed Stochastic Exemplar-centered Embedding. CoRR Martin Renqiang Min, Hongyu Guo, Dinghan Shen
2017	J	`jnl`	Video Generation From Text. CoRR Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin
2016	J	`jnl`	A Context-aware Attention Network for Interactive Question Answering. CoRR Huayu Li, Martin Renqiang Min, Yong Ge, Asim Kadav
2016	J	`jnl`	A Shallow High-Order Parametric Approach to Data Visualization and Compression. CoRR Martin Renqiang Min, Hongyu Guo, Dongjin Song
2016	J	`jnl`	Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent. CoRR Linnan Wang, Yi Yang, Martin Renqiang Min, Srimat T. Chakradhar
2016	J	`jnl`	Adaptive Feature Abstraction for Translating Video to Language. CoRR Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin
2016	—	`conf`	Automated IT system failure prediction: A deep learning approach. IEEE BigData Ke Zhang, Jianwu Xu, Martin Renqiang Min, Guofei Jiang, Konstantinos Pelechrinis, Hui Zhang
2015	J	`jnl`	A Deep Learning Model for Structured Outputs with High-order Interaction. CoRR Hongyu Guo, Xiaodan Zhu, Martin Renqiang Min
2015	J	`jnl`	High-order neural networks and kernel methods for peptide-MHC binding prediction. Bioinform. Pavel P. Kuksa, Martin Renqiang Min, Rishabh Dugar, Mark Gerstein
2014	Misc	`conf`	An Integrated Approach To Blood-Based Cancer Diagnosis And Biomarker Discovery. Pacific Symposium on Biocomputing Martin Renqiang Min, Salim A. Chowdhury, Yanjun Qi, Alex Stewart, Rachel Ostroff
2014	—	`conf`	Deep Semantic Embedding. SMIR@SIGIR Hao Wu, Martin Renqiang Min, Bing Bai
2014	A*	`conf`	Factorized sparse learning models with interpretable high order feature interactions. KDD Sanjay Purushotham, Martin Renqiang Min, C.-C. Jay Kuo, Rachel Ostroff
2014	A	`conf`	Interpretable Sparse High-Order Boltzmann Machines. AISTATS Martin Renqiang Min, Xia Ning, Chao Cheng, Mark Gerstein
2010	A*	`conf`	Deep Supervised t-Distributed Embedding. ICML Martin Renqiang Min, Laurens van der Maaten, Zineng Yuan, Anthony J. Bonner, Zhaolei Zhang
2009	A*	`conf`	A Deep Non-linear Feature Mapping for Large-Margin kNN Classification. ICDM Martin Renqiang Min, David A. Stanley, Zineng Yuan, Anthony J. Bonner, Zhaolei Zhang
2009	J	`jnl`	A Probabilistic Framework to Improve microRNA Target Prediction by Incorporating Proteomics Data. J. Bioinform. Comput. Biol. Jingjing Li, Martin Renqiang Min, Anthony J. Bonner, Zhaolei Zhang
2009	J	`jnl`	Large-Margin kNN Classification Using a Deep Encoder Network CoRR Martin Renqiang Min, David A. Stanley, Zineng Yuan, Anthony J. Bonner, Zhaolei Zhang
2009	A	`conf`	Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery. SDM Martin Renqiang Min, Rui Kuang, Anthony J. Bonner, Zhaolei Zhang
2007	C	`conf`	Modifying kernels using label information improves SVM classification performance. ICMLA Martin Renqiang Min, Anthony J. Bonner, Zhaolei Zhang