Ma, Jianxin

13 publications

ICLR 2025 TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking Danqing Wang, Jianxin Ma, Fei Fang, Lei Li

AAAI 2024 Controllable 3D Face Generation with Conditional Style Code Diffusion Xiaolong Shen, Jianxin Ma, Chang Zhou, Zongxin Yang

CVPR 2023 Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation Xiaolong Shen, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang

ICCV 2023 JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery Jiahao Li, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang

ICCV 2023 TransHuman: A Transformer-Based Human Representation for Generalizable Neural Human Rendering Xiao Pan, Zongxin Yang, Jianxin Ma, Chang Zhou, Yi Yang

ICML 2022 OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang

ICML 2021 Learning to Rehearse in Long Sequence Memorization Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao

NeurIPS 2021 UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang

NeurIPS 2020 Counterfactual Prediction for Bundle Treatment Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He

ICLR 2020 Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities Baichuan Yuan, Xiaowei Wang, Jianxin Ma, Chang Zhou, Andrea L. Bertozzi, Hongxia Yang

ICML 2019 Disentangled Graph Convolutional Networks Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, Wenwu Zhu

NeurIPS 2019 Learning Disentangled Representations for Recommendation Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, Wenwu Zhu

AAAI 2018 DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks Jianxin Ma, Peng Cui, Wenwu Zhu