| 2025 | ACL | IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web. | Hongcheng Guo, Wei Zhang, Junhao Chen, Yaonan Gu, Jian Yang, Junjia Du, Shaosheng Cao, Binyuan Hui, Tianyu Liu, Jianxin Ma, Chang Zhou, Zhoujun Li |
| 2025 | ACL | Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning. | Ziang Ye, Zhenru Zhang, Yang Zhang, Jianxin Ma, Junyang Lin, Fuli Feng |
| 2025 | ICLR | TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking. | Danqing Wang, Jianxin Ma, Fei Fang, Lei Li |
| 2024 | AAAI | Controllable 3D Face Generation with Conditional Style Code Diffusion. | Xiaolong Shen, Jianxin Ma, Chang Zhou, Zongxin Yang |
| 2023 | CVPR | 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 |
| 2023 | ICCV | JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery. | Jiahao Li, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang |
| 2023 | ICCV | TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering. | Xiao Pan, Zongxin Yang, Jianxin Ma, Chang Zhou, Yi Yang |
| 2023 | ICDE | Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract). | Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu |
| 2022 | ICML | 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 |
| 2021 | ICML | Learning to Rehearse in Long Sequence Memorization. | Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao |
| 2021 | KDD | Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems. | Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang |
| 2020 | ICDM | Inductive Granger Causal Modeling for Multivariate Time Series. | Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang |
| 2020 | ICLR | Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities. | Baichuan Yuan, Xiaowei Wang, Jianxin Ma, Chang Zhou, Andrea L. Bertozzi, Hongxia Yang |
| 2020 | KDD | Learning Stable Graphs from Multiple Environments with Selection Bias. | Yue He, Peng Cui, Jianxin Ma, Hao Zou, Xiaowei Wang, Hongxia Yang, Philip S. Yu |
| 2020 | KDD | Disentangled Self-Supervision in Sequential Recommenders. | Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu |
| 2019 | ICML | Disentangled Graph Convolutional Networks. | Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, Wenwu Zhu |
| 2019 | KDD | AutoNE: Hyperparameter Optimization for Massive Network Embedding. | Ke Tu, Jianxin Ma, Peng Cui, Jian Pei, Wenwu Zhu |
| 2018 | AAAI | DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks. | Jianxin Ma, Peng Cui, Wenwu Zhu |
| 2018 | IWCMC | An Optimization-based mTSP Clustering Algorithm for Wireless Sensor Networks. | Jianxin Ma, Shuo Shi, Xuemai Gu |
| 2018 | KDD | Hierarchical Taxonomy Aware Network Embedding. | Jianxin Ma, Peng Cui, Xiao Wang, Wenwu Zhu |
| 2018 | VTC | An Optimization-Based mTSP-CR Mobile Data Gathering Algorithm for Large-Scale Wireless Sensor Networks. | Jianxin Ma, Shuo Shi, Xuemai Gu |