Ma, Jian

18 publications

AAAI 2025 GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models Jian Ma, Yonglin Deng, Chen Chen, Nanyang Du, Haonan Lu, Zhenyu Yang
TMLR 2025 L2G: Repurposing Language Models for Genomics Tasks Wenduo Cheng, Junhong Shen, Mikhail Khodak, Jian Ma, Ameet Talwalkar
ICCV 2025 RESCUE: Crowd Evacuation Simulation via Controlling SDM-United Characters Xiaolin Liu, Tianyi Zhou, Hongbo Kang, Jian Ma, Ziwen Wang, Jing Huang, Wenguo Weng, Yu-Kun Lai, Kun Li
NeurIPS 2025 Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-Design Nianzu Yang, Songlin Jiang, Jian Ma, Huaijin Wu, Shuangjia Zheng, Wengong Jin, Junchi Yan
ICLRW 2025 Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-Design Nianzu Yang, Jian Ma, Songlin Jiang, Huaijin Wu, Shuangjia Zheng, Wengong Jin, Junchi Yan
ICCV 2025 X2I: Seamless Integration of Multimodal Understanding into Diffusion Transformer via Attention Distillation Jian Ma, Qirong Peng, Xu Guo, Chen Chen, Haonan Lu, Zhenyu Yang
AAAI 2024 Compositional Text-to-Image Synthesis with Attention mAP Control of Diffusion Models Ruichen Wang, Zekang Chen, Chen Chen, Jian Ma, Haonan Lu, Xiaodong Lin
NeurIPS 2024 End-to-End Learnable Clustering for Intent Learning in Recommendation Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Xinwang Liu, Shengju Yu, Kejun Zhang, Wenliang Zhong
NeurIPS 2024 Identify Then Recommend: Towards Unsupervised Group Recommendation Yue Liu, Shihao Zhu, Tianyuan Yang, Jian Ma, Wenliang Zhong
ECCV 2024 Mutual Learning for Acoustic Matching and Dereverberation via Visual Scene-Driven Diffusion Jian Ma, Wenguan Wang, Yi Yang, Feng Zheng
ECCV 2024 PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in Non-English Text-to-Image Generation Jian Ma, Chen Chen, Qingsong Xie, Haonan Lu
TMLR 2024 Pre-Trained Hypergraph Convolutional Neural Networks with Self-Supervised Learning Yihe Deng, Ruochi Zhang, Pan Xu, Jian Ma, Quanquan Gu
NeurIPS 2022 EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations Ahmad Darkhalil, Dandan Shan, Bin Zhu, Jian Ma, Amlan Kar, Richard Higgins, Sanja Fidler, David Fouhey, Dima Damen
ICLR 2020 Hyper-SAGNN: A Self-Attention Based Graph Neural Network for Hypergraphs Ruochi Zhang, Yuesong Zou, Jian Ma
CVPRW 2019 Enhanced Rotation-Equivariant U-Net for Nuclear Segmentation Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do
ICML 2018 Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization Jinghui Chen, Pan Xu, Lingxiao Wang, Jian Ma, Quanquan Gu
AISTATS 2018 Minimax Reconstruction Risk of Convolutional Sparse Dictionary Learning Shashank Singh, Barnabás Póczos, Jian Ma
NeurIPS 2017 Speeding up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization Pan Xu, Jian Ma, Quanquan Gu