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2020 – today
- 2026
[j6]Zhan'ao Yao, Wenli Geng, Hongxin Yang, Zhongtian Sun, Tingwei Chen:
Relation Extraction from the Perspective of the Frequency Domain: Frequency-Domain Aware Gated Graph Attention Network. Neural Process. Lett. 58(1): 18 (2026)- [i16]Jongmin Yu, Hyeontaek Oh, Zhongtian Sun, Angelica I. Aviles-Rivero, Moongu Jeon, Jinhong Yang:
AlphaFace: High Fidelity and Real-time Face Swapper Robust to Facial Pose. CoRR abs/2601.16429 (2026) - [i15]Michail Mamalakis, Tiago Azevedo, Cristian Cosentino, Chiara D'Ercoli, Subati Abulikemu, Zhongtian Sun, Richard A. I. Bethlehem, Pietro Lio:
A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Large Language Models. CoRR abs/2601.17952 (2026) - 2025
- [j5]Jongmin Yu, Hyeontaek Oh, Zhongtian Sun
, Younkwan Lee, Jinhong Yang:
Real-Time, High-Fidelity Face Identity Swapping With a Vision Foundation Model. IEEE Access 13: 157160-157174 (2025) - [j4]Shurui Xu, Feng Luo, Shuyan Li, Mengzhen Fan, Zhongtian Sun:
Three trustworthiness challenges in large language model-based financial systems: real-world examples and mitigation strategies. Frontiers Inf. Technol. Electron. Eng. 26(10): 1871-1878 (2025) - [j3]Weiguo Feng, Zhongtian Sun, Yilin Han, Nian Cai, Yinghong Zhou:
A Bimodal Large-Small Model Collaborative Network for Joint Prediction of State of Health and Remaining Useful Life of Lithium-Ion Batteries. IEEE Trans. Instrum. Meas. 74: 1-13 (2025) - [c20]Jongmin Yu, Zhongtian Sun, Chen Bene Chi, Jinhong Yang, Shan Luo:
Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation. CVPR Workshops 2025: 2614-2624 - [c19]Zhongtian Sun, Chenghao Xiao, Anoushka Harit, Jongmin Yu:
Quantifying Semantic Shift in Financial NLP: Robust Metrics for Market Prediction Stability. ICAIF 2025: 177-184 - [c18]Anoushka Harit, Zhongtian Sun, Jongmin Yu:
From News to Returns: A Granger-Causal Hypergraph Transformer on the Sphere. ICAIF 2025: 674-682 - [c17]Zhongtian Sun, Anoushka Harit:
RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs. RecSys 2025: 1284-1289 - [c16]Zhongtian Sun, Anoushka Harit, Jongmin Yu, Jingyun Wang, Pietro Liò:
Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks. WWW (Companion Volume) 2025: 1316-1320 - [i14]Zhongtian Sun, Anoushka Harit, Pietro Lio:
Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning. CoRR abs/2506.17826 (2025) - [i13]Anoushka Harit, Zhongtian Sun:
Causal Spherical Hypergraph Networks for Modelling Social Uncertainty. CoRR abs/2506.17840 (2025) - [i12]Anoushka Harit, Zhongtian Sun, Suncica Hadzidedic:
ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations. CoRR abs/2507.02014 (2025) - [i11]Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Christl A. Donnelly, Pietro Liò:
GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning. CoRR abs/2507.18521 (2025) - [i10]Zhongtian Sun, Anoushka Harit:
RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs. CoRR abs/2508.09334 (2025) - [i9]Kaiwen Zuo, Zelin Liu, Raman Dutt, Ziyang Wang, Zhongtian Sun, Yeming Wang, Fan Mo, Pietro Liò:
How to make Medical AI Systems safer? Simulating Vulnerabilities, and Threats in Multimodal Medical RAG System. CoRR abs/2508.17215 (2025) - [i8]Anoushka Harit, William Prew, Zhongtian Sun, Florian Markowetz:
EWC-Guided Diffusion Replay for Exemplar-Free Continual Learning in Medical Imaging. CoRR abs/2509.23906 (2025) - [i7]Anoushka Harit, Zhongtian Sun, Jongmin Yu:
From News to Returns: A Granger-Causal Hypergraph Transformer on the Sphere. CoRR abs/2510.04357 (2025) - 2024
- [c15]Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed:
Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. NLP4KGC@SEMANTiCS 2024: 54-69 - [i6]Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed:
Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. CoRR abs/2409.00438 (2024) - [i5]Jongmin Yu, Zhongtian Sun, Shan Luo:
Adversarial Diffusion Model for Unsupervised Domain-Adaptive Semantic Segmentation. CoRR abs/2412.16859 (2024) - 2023
- [j2]Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. AI Open 4: 19-32 (2023) - [j1]Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio:
MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model. AI Open 4: 165-174 (2023) - [c14]Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio:
A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning. IEEE Big Data 2023: 5930-5939 - [c13]Zhongtian Sun, Alexandra I. Cristea, Pietro Lio, Jialin Yu:
Adaptive Distance Message Passing From the Multi-Relational Edge View. Tiny Papers @ ICLR 2023 - [c12]Chenghao Xiao, Zihuiwen Ye, G. Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed:
Can Text Encoders be Deceived by Length Attack? Tiny Papers @ ICLR 2023 - [i4]Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
Deep Latent Variable Models for Semi-supervised Paraphrase Generation. CoRR abs/2301.02275 (2023) - 2022
- [c11]Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Noura Al Moubayed, Lei Shi:
Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. IEEE Big Data 2022: 5352-5360 - [c10]Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Lei Shi, Noura Al Moubayed:
Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. IJCNN 2022: 1-6 - [c9]Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. IJCNN 2022: 1-8 - [c8]Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
Efficient Uncertainty Quantification for Multilabel Text Classification. IJCNN 2022: 1-8 - [i3]Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. CoRR abs/2209.01061 (2022) - 2021
- [c7]Yujie Lu, Yayu Kong, Zhongtian Sun, Ze Zhang, Tingwei Chen, Yue Hu:
Current Interest Enhanced Graph Neural Networks for Session-based Recommendation. ICAC 2021: 1-7 - [c6]Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Noura Al Moubayed:
A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data. IJCNN 2021: 1-7 - [c5]Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Lei Shi:
A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs. ITS 2021: 28-37 - [c4]Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi:
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. ITS 2021: 78-90 - [c3]Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Craig D. Stewart, Filipe Dwan Pereira:
MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns. ITS 2021: 119-130 - [i2]Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi:
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. CoRR abs/2104.12643 (2021) - 2020
- [c2]Jialin Yu, Olanrewaju Tahir Aduragba, Zhongtian Sun, Sue Black, Craig D. Stewart, Lei Shi, Alexandra I. Cristea:
Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course. ICCSE 2020: 182-187 - [c1]Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Gautham Senthilnathan, Lei Shi, Craig D. Stewart:
Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach. ITS 2020: 353-363 - [i1]Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Gautham Senthilnathan, Lei Shi, Craig D. Stewart:
Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach. CoRR abs/2008.05209 (2020)
Coauthor Index
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last updated on 2026-03-06 21:31 CET by the dblp team
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