Skip to content
conftrace_

Jingchao Ni

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓
+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (50) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (17) πŸ† Keyword Champion (2) πŸ† Grand Slam 🧬 Topic Evolution πŸ”¬ Deep Specialist (13) πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (104)

Venues

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

Research topics

Machine Learning (17) Core Methods (14) Deep Learning (12) Learning Types Β· Machine Learning (12) Artificial Intelligence (8) Data Science & Analytics (7) Architectures (6) Core AI (6) Methods (6) Learning Types Β· Deep Learning (5) Application Areas (4) Techniques (3) Computer Vision (2) Analysis (2) Bayesian & Probabilistic (2)

Keywords

unsupervised learning (4) graph neural network (4) multivariate time series (4) gaussian mixture model (3) graph representation learning (3) representation learning (3) multimodal learning (2) large language model (2) multi-task learning (2) contrastive learning (2) expectation maximization (2) data augmentation (2) information theory (2) time series (2) large vision model (2) time series analysis (2) causal discovery (1) face analysis (1) anomaly detection (1) variational inference (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 NeurIPS 2023 Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023 Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings ICLR 2022 Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph AAAI 2022 Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021 FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems CVPR 2021 Multi-Task Recurrent Modular Networks AAAI 2021 Unsupervised Concept Representation Learning for Length-Varying Text Similarity NAACL 2021 Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation AAAI 2020 Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval AAAI 2020 Inductive and Unsupervised Representation Learning on Graph Structured Objects ICLR 2020 Robust Graph Representation Learning via Neural Sparsification ICML 2020 Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series AAAI 2020 A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data AAAI 2019 Heterogeneous Graph Matching Networks for Unknown Malware Detection IJCAI 2019