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← Authors

Jingchao Ni

20 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (47) 🌍 Conference Polyglot (8) 🀝 Dynamic Duo (17) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ’Ž Century Club (18) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (94) πŸ”₯ Unstoppable (7)

Conferences

AAAI (10) ICLR (2) ICML (2) IJCAI (2) ACL (1) CVPR (1) NAACL (1) NIPS (1)

Top co-authors

Haifeng Chen (17) Wei Cheng (15) Bo Zong (10) Dongjin Song (10) Zhengzhang Chen (7) Yanchi Liu (7) Wenchao Yu (5) Xuchao Zhang (5) Dongsheng Luo (5) Dongkuan Xu (4)

Keywords

multivariate time series (4) representation learning (3) graph neural network (3) unsupervised learning (3) contrastive learning (2) multi-task learning (2) graph representation learning (2) gaussian mixture model (2) large language model (2) large vision model (2) time series (2) time series analysis (2) data augmentation (2) causal discovery (1) face analysis (1) metric learning (1) anomaly detection (1) variational inference (1) zero-shot learning (1) few-shot learning (1)

Papers

Cross-Modal Knowledge Transfer in Time Series AI via Large Vision Models AAAI 2026 Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning AAAI 2026 Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery ACL 2025 Harnessing Vision Models for Time Series Analysis: A Survey IJCAI 2025 Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks ICML 2024 Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NIPS 2023 Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023 Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph AAAI 2022 Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings ICLR 2022 FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems CVPR 2021 Multi-Task Recurrent Modular Networks AAAI 2021 Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021 Unsupervised Concept Representation Learning for Length-Varying Text Similarity NAACL 2021 Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval AAAI 2020 Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation AAAI 2020 Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series AAAI 2020 Inductive and Unsupervised Representation Learning on Graph Structured Objects ICLR 2020 Robust Graph Representation Learning via Neural Sparsification ICML 2020 Heterogeneous Graph Matching Networks for Unknown Malware Detection IJCAI 2019 A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data AAAI 2019