← Authors

Qianli Ma

57 papers · 2016–2026 · 15 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🌍 Conference Polyglot (15) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (10) 🀝 Dynamic Duo (12) πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion (6) πŸ† Grand Slam πŸ“ˆ Trend Setter πŸ’Ž Century Club (55) πŸ—ƒοΈ Keyword Collector (249) πŸ”₯ Unstoppable (10) ❓ The Questioner ⚑ Prolific Year (5)

Conferences

ACL (10) AAAI (9) CVPR (8) EMNLP (7) ICML (4) NIPS (4) ICCV (3) IJCAI (3) ICLR (2) IJCNLP (2) ACML (1) COLING (1) ECCV (1) RSS (1) UAI (1)

Top co-authors

Junhao Zheng (13) Zhen Liu (10) Zhenxi Lin (8) Siyu Tang (8) Huawen Feng (7) Jiangyue Yan (6) Haibin Chen (6) Yicheng Luo (5) Sen Li (5) Xichen Shang (5)

Keywords

representation learning (7) time series classification (6) large language model (5) data augmentation (5) contrastive learning (4) catastrophic forgetting (4) diffusion model (4) clothing deformation (4) named entity recognition (4) point cloud (3) semi-supervised learning (3) deep neural network (3) generative model (3) hierarchical text classification (3) time series (3) recurrent neural network (3) unsupervised learning (2) multi-task learning (2) adversarial training (2) continual learning (2)

Papers

A Unified Shape-Aware Foundation Model for Time Series Classification AAAI 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
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning CVPR 2025
Efficient Diffusion as Low Light Enhancer CVPR 2025
Articulated Kinematics Distillation from Video Diffusion Models CVPR 2025
Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series ICML 2025
Learning Soft Sparse Shapes for Efficient Time-Series Classification ICML 2025
Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling UAI 2025
RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis EMNLP 2025
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting ICML 2025
WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models ACL 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
Spurious Forgetting in Continual Learning of Language Models ICLR 2025
Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction ICLR 2025
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models ACL 2024
Incremental Sequence Labeling: A Tale of Two Shifts ACL 2024
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification AAAI 2024
Well Begun Is Half Done: An Implicitly Augmented Generative Framework with Distribution Modification for Hierarchical Text Classification COLING 2024
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks ICML 2024
Improving Factual Consistency of News Summarization by Contrastive Preference Optimization EMNLP 2024
Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series NIPS 2024
Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories CVPR 2024
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference ACL 2023
CTW: Confident Time-Warping for Time-Series Label-Noise Learning IJCAI 2023
Temporal-Frequency Co-training for Time Series Semi-supervised Learning AAAI 2023
Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction ACL 2023
Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels NIPS 2023
Dynamic Point Fields ICCV 2023
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views ICCV 2023
Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction EMNLP 2022
Cross-domain Named Entity Recognition via Graph Matching ACL 2022
EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices ECCV 2022
Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition EMNLP 2022
It’s Better to Teach Fishing than Giving a Fish: An Auto-Augmented Structure-aware Generative Model for Metaphor Detection EMNLP 2022
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images NIPS 2021
CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning EMNLP 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
Learning Representations for Incomplete Time Series Clustering AAAI 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
The Power of Points for Modeling Humans in Clothing ICCV 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
Adversarial Dynamic Shapelet Networks AAAI 2020
Temporal Pyramid Recurrent Neural Network 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
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