Qianli Ma

Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention ACL 2026 A Unified Shape-Aware Foundation Model for Time Series Classification AAAI 2026 Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance ACL 2026 OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo AAAI 2026 CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models CVPR 2025 Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling UAI 2025 Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series ICML 2025 Learning Soft Sparse Shapes for Efficient Time-Series Classification ICML 2025 WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models ACL 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 RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis EMNLP 2025 Articulated Kinematics Distillation from Video Diffusion Models CVPR 2025 Efficient Diffusion as Low Light Enhancer CVPR 2025 HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting ICML 2025 DavIR: Data Selection via Implicit Reward for Large Language Models ACL 2025 LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint ACL 2025 Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning CVPR 2025 InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks ICML 2024 Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series NIPS 2024 Diffusion Language-Shapelets for Semi-supervised Time-Series Classification AAAI 2024 Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models ACL 2024 Incremental Sequence Labeling: A Tale of Two Shifts ACL 2024 Well Begun Is Half Done: An Implicitly Augmented Generative Framework with Distribution Modification for Hierarchical Text Classification COLING 2024 Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories CVPR 2024 Improving Factual Consistency of News Summarization by Contrastive Preference Optimization EMNLP 2024 CTW: Confident Time-Warping for Time-Series Label-Noise Learning IJCAI 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 Dynamic Point Fields ICCV 2023 Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction ACL 2023 Temporal-Frequency Co-training for Time Series Semi-supervised Learning AAAI 2023 Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels NIPS 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 Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction 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 SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements CVPR 2021 CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning EMNLP 2021 MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images NIPS 2021 The Power of Points for Modeling Humans in Clothing ICCV 2021 A Span-based Dynamic Local Attention Model for Sequential Sentence Classification ACL 2021 Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification ACL 2021 Time Series Anomaly Detection with Multiresolution Ensemble Decoding AAAI 2021 Joint-Label Learning by Dual Augmentation for Time Series Classification AAAI 2021 Time-Aware Multi-Scale RNNs for Time Series Modeling IJCAI 2021 Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification IJCNLP 2021 A Span-based Dynamic Local Attention Model for Sequential Sentence Classification IJCNLP 2021 Learning Representations for Incomplete Time Series Clustering AAAI 2021 SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks CVPR 2021 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 Adversarial Dynamic Shapelet Networks AAAI 2020 Learning Representations for Time Series Clustering NIPS 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