Qianli Ma

A Unified Shape-Aware Foundation Model for Time Series Classification AAAI 2026 Group Editing: Edit Multiple Images in One Go CVPR 2026 MemFlow: A Lightweight Forward Memorizing Framework for Quick Domain Adaptive Feature Mapping CVPR 2026 OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo AAAI 2026 Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance ACL 2026 SAGE: Scalable Agentic 3D Scene Generation for Embodied AI CVPR 2026 The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models CVPR 2026 Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention ACL 2026 Articulated Kinematics Distillation from Video Diffusion Models CVPR 2025 CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models CVPR 2025 DavIR: Data Selection via Implicit Reward for Large Language Models ACL 2025 Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning CVPR 2025 Efficient Diffusion as Low Light Enhancer CVPR 2025 Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series ICML 2025 HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting ICML 2025 Learning Soft Sparse Shapes for Efficient Time-Series Classification ICML 2025 LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint ACL 2025 RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis EMNLP 2025 Spurious Forgetting in Continual Learning of Language Models ICLR 2025 Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction ICLR 2025 Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling UAI 2025 WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models ACL 2025 Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories CVPR 2024 Diffusion Language-Shapelets for Semi-supervised Time-Series Classification AAAI 2024 Improving Factual Consistency of News Summarization by Contrastive Preference Optimization EMNLP 2024 Incremental Sequence Labeling: A Tale of Two Shifts ACL 2024 InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks ICML 2024 Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series NeurIPS 2024 Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models ACL 2024 Well Begun Is Half Done: An Implicitly Augmented Generative Framework with Distribution Modification for Hierarchical Text Classification COLING 2024 CTW: Confident Time-Warping for Time-Series Label-Noise Learning IJCAI 2023 Dynamic Point Fields ICCV 2023 Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction ACL 2023 Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference ACL 2023 Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views ICCV 2023 Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels NeurIPS 2023 Temporal-Frequency Co-training for Time Series Semi-supervised Learning AAAI 2023 Cross-domain Named Entity Recognition via Graph Matching ACL 2022 Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition EMNLP 2022 EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices ECCV 2022 It’s Better to Teach Fishing than Giving a Fish: An Auto-Augmented Structure-aware Generative Model for Metaphor Detection EMNLP 2022 Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction EMNLP 2022 A Span-based Dynamic Local Attention Model for Sequential Sentence Classification ACL 2021 CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning EMNLP 2021 Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification ACL 2021 Joint-Label Learning by Dual Augmentation for Time Series Classification AAAI 2021 Learning Representations for Incomplete Time Series Clustering AAAI 2021 MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images NeurIPS 2021 SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements CVPR 2021 SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks CVPR 2021 The Power of Points for Modeling Humans in Clothing ICCV 2021 Time-Aware Multi-Scale RNNs for Time Series Modeling IJCAI 2021 Time Series Anomaly Detection with Multiresolution Ensemble Decoding AAAI 2021 Adversarial Dynamic Shapelet Networks AAAI 2020 Learning to Dress 3D People in Generative Clothing CVPR 2020 MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification EMNLP 2020 Temporal Pyramid Recurrent Neural Network AAAI 2020 Learning Representations for Time Series Clustering NeurIPS 2019 End-to-End Time Series Imputation via Residual Short Paths ACML 2018 WALKING WALKing walking: Action Recognition from Action Echoes IJCAI 2017 Probabilistic Approaches to the AXB = YCZ Calibration Problem in Multi-Robot Systems RSS 2016