Ma, Qianli

33 publications

CVPR 2025 Articulated Kinematics Distillation from Video Diffusion Models Xuan Li, Qianli Ma, Tsung-Yi Lin, Yongxin Chen, Chenfanfu Jiang, Ming-Yu Liu, Donglai Xiang
CVPR 2025 CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models Qingqing Zhao, Yao Lu, Moo Jin Kim, Zipeng Fu, Zhuoyang Zhang, Yecheng Wu, Zhaoshuo Li, Qianli Ma, Song Han, Chelsea Finn, Ankur Handa, Tsung-Yi Lin, Gordon Wetzstein, Ming-Yu Liu, Donglai Xiang
CVPR 2025 Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang
CVPR 2025 Efficient Diffusion as Low Light Enhancer Guanzhou Lan, Qianli Ma, Yuqi Yang, Zhigang Wang, Dong Wang, Xuelong Li, Bin Zhao
ICML 2025 Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series Yicheng Luo, Bowen Zhang, Zhen Liu, Qianli Ma
ICML 2025 HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Boyuan Li, Yicheng Luo, Zhen Liu, Junhao Zheng, Jianming Lv, Qianli Ma
ICML 2025 Learning Soft Sparse Shapes for Efficient Time-Series Classification Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma
ICLR 2025 Spurious Forgetting in Continual Learning of Language Models Junhao Zheng, Xidi Cai, Shengjie Qiu, Qianli Ma
ICLR 2025 Training Large Language Models for Retrieval-Augmented Question Answering Through Backtracking Correction Huawen Feng, ZekunYao, Junhao Zheng, Qianli Ma
UAI 2025 Variational Learning of Gaussian Process Latent Variable Models Through Stochastic Gradient Annealed Importance Sampling Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng, John Paisley
CVPR 2024 Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories Yan Zhang, Sergey Prokudin, Marko Mihajlovic, Qianli Ma, Siyu Tang
AAAI 2024 Diffusion Language-Shapelets for Semi-Supervised Time-Series Classification Zhen Liu, Wenbin Pei, Disen Lan, Qianli Ma
ICML 2024 InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu
NeurIPS 2024 Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series Yicheng Luo, Zhen Liu, Linghao Wang, Junhao Zheng, Binquan Wu, Qianli Ma
IJCAI 2023 CTW: Confident Time-Warping for Time-Series Label-Noise Learning Peitian Ma, Zhen Liu, Junhao Zheng, Linghao Wang, Qianli Ma
ICCV 2023 Dynamic Point Fields Sergey Prokudin, Qianli Ma, Maxime Raafat, Julien Valentin, Siyu Tang
ICCV 2023 Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang
NeurIPS 2023 Scale-Teaching: Robust Multi-Scale Training for Time Series Classification with Noisy Labels Zhen Liu, Ma Peitian, Dongliang Chen, Wenbin Pei, Qianli Ma
AAAI 2023 Temporal-Frequency Co-Training for Time Series Semi-Supervised Learning Zhen Liu, Qianli Ma, Peitian Ma, Linghao Wang
ECCV 2022 EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Taein Kwon, Marc Pollefeys, Federica Bogo, Siyu Tang
AAAI 2021 Joint-Label Learning by Dual Augmentation for Time Series Classification Qianli Ma, Zhenjing Zheng, Jiawei Zheng, Sen Li, Wanqing Zhuang, Garrison W. Cottrell
AAAI 2021 Learning Representations for Incomplete Time Series Clustering Qianli Ma, Chuxin Chen, Sen Li, Garrison W. Cottrell
NeurIPS 2021 MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images Shaofei Wang, Marko Mihajlovic, Qianli Ma, Andreas Geiger, Siyu Tang
CVPR 2021 SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements Qianli Ma, Shunsuke Saito, Jinlong Yang, Siyu Tang, Michael J. Black
CVPR 2021 SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks Shunsuke Saito, Jinlong Yang, Qianli Ma, Michael J. Black
ICCV 2021 The Power of Points for Modeling Humans in Clothing Qianli Ma, Jinlong Yang, Siyu Tang, Michael J. Black
AAAI 2021 Time Series Anomaly Detection with Multiresolution Ensemble Decoding Lifeng Shen, Zhongzhong Yu, Qianli Ma, James T. Kwok
IJCAI 2021 Time-Aware Multi-Scale RNNs for Time Series Modeling Zipeng Chen, Qianli Ma, Zhenxi Lin
AAAI 2020 Adversarial Dynamic Shapelet Networks Qianli Ma, Wanqing Zhuang, Sen Li, Desen Huang, Garrison W. Cottrell
AAAI 2020 Temporal Pyramid Recurrent Neural Network Qianli Ma, Zhenxi Lin, Enhuan Chen, Garrison W. Cottrell
NeurIPS 2019 Learning Representations for Time Series Clustering Qianli Ma, Jiawei Zheng, Sen Li, Gary W Cottrell
ACML 2018 End-to-End Time Series Imputation via Residual Short Paths Lifeng Shen, Qianli Ma, Sen Li
IJCAI 2017 WALKING WALKing Walking: Action Recognition from Action Echoes Qianli Ma, Lifeng Shen, Enhuan Chen, Shuai Tian, Jiabing Wang, Garrison W. Cottrell