Zhongtian Sun - RankMe

47 papers A* 1A 1B 10Journal 24Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Large Language Models. CoRR Michail Mamalakis, Tiago Azevedo, Cristian Cosentino, Chiara D'Ercoli, Subati Abulikemu, Zhongtian Sun, Richard A. I. Bethlehem, Pietro Lio
2026	J	`jnl`	AlphaFace: High Fidelity and Real-time Face Swapper Robust to Facial Pose. CoRR Jongmin Yu, Hyeontaek Oh, Zhongtian Sun, Angelica I. Avilés-Rivero, Moongu Jeon, Jinhong Yang
2026	A*	`conf`	Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger. WWW Li Sun, Ming Zhang, Wenxin Jin, Zhongtian Sun, Zhenhao Huang, Hao Peng, Sen Su, Philip S. Yu
2026	J	`jnl`	Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger. CoRR Li Sun, Min Zhang, Wenxin Jin, Zhongtian Sun, Zhenhao Huang, Hao Peng, Sen Su, Philip S. Yu
2026	J	`jnl`	Preference Optimization for Review Question Generation Improves Writing Quality. CoRR Karun Sharma, Vidushee Vats, Shengzhi Li, Yuxiang Wang, Zhongtian Sun, Prayag Tiwari
2026	J	`jnl`	Relation Extraction from the Perspective of the Frequency Domain: Frequency-Domain Aware Gated Graph Attention Network. Neural Process. Lett. Zhan'ao Yao, Wenli Geng, Hongxin Yang, Zhongtian Sun, Tingwei Chen
2025	J	`jnl`	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. Weiguo Feng, Zhongtian Sun, Yilin Han, Nian Cai, Yinghong Zhou
2025	J	`jnl`	Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning. CoRR Zhongtian Sun, Anoushka Harit, Pietro Lio
2025	—	`conf`	Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks. WWW (Companion Volume) Zhongtian Sun, Anoushka Harit, Jongmin Yu, Jingyun Wang, Pietro Liò
2025	—	`conf`	Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation. CVPR Workshops Jongmin Yu, Zhongtian Sun, Chen Bene Chi, Jinhong Yang, Shan Luo
2025	J	`jnl`	Causal Spherical Hypergraph Networks for Modelling Social Uncertainty. CoRR Anoushka Harit, Zhongtian Sun
2025	J	`jnl`	EWC-Guided Diffusion Replay for Exemplar-Free Continual Learning in Medical Imaging. CoRR Anoushka Harit, William Prew, Zhongtian Sun, Florian Markowetz
2025	—	`conf`	From News to Returns: A Granger-Causal Hypergraph Transformer on the Sphere. ICAIF Anoushka Harit, Zhongtian Sun, Jongmin Yu
2025	J	`jnl`	From News to Returns: A Granger-Causal Hypergraph Transformer on the Sphere. CoRR Anoushka Harit, Zhongtian Sun, Jongmin Yu
2025	—	`conf`	GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning. IJCKG Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Christl A. Donnelly, Pietro Liò
2025	J	`jnl`	GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning. CoRR Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Christl A. Donnelly, Pietro Liò
2025	J	`jnl`	How to make Medical AI Systems safer? Simulating Vulnerabilities, and Threats in Multimodal Medical RAG System. CoRR Kaiwen Zuo, Zelin Liu, Raman Dutt, Ziyang Wang, Zhongtian Sun, Yeming Wang, Fan Mo, Pietro Liò
2025	J	`jnl`	ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations. CoRR Anoushka Harit, Zhongtian Sun, Suncica Hadzidedic
2025	—	`conf`	Quantifying Semantic Shift in Financial NLP: Robust Metrics for Market Prediction Stability. ICAIF Zhongtian Sun, Chenghao Xiao, Anoushka Harit, Jongmin Yu
2025	J	`jnl`	Real-Time, High-Fidelity Face Identity Swapping With a Vision Foundation Model. IEEE Access Jongmin Yu, Hyeontaek Oh, Zhongtian Sun, Younkwan Lee, Jinhong Yang
2025	A	`conf`	RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs. RecSys Zhongtian Sun, Anoushka Harit
2025	J	`jnl`	RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs. CoRR Zhongtian Sun, Anoushka Harit
2025	—	`conf`	SPAR-GNN: Knowledge Tracing with Behavioural Patterns and Selective LLM Feedback. AIED Companion (2) Zhongtian Sun, Jingyun Wang, Ahmed Alamri, Alexandra I. Cristea
2025	J	`jnl`	Three trustworthiness challenges in large language model-based financial systems: real-world examples and mitigation strategies. Frontiers Inf. Technol. Electron. Eng. Shurui Xu, Feng Luo, Shuyan Li, Mengzhen Fan, Zhongtian Sun
2024	J	`jnl`	Adversarial Diffusion Model for Unsupervised Domain-Adaptive Semantic Segmentation. CoRR Jongmin Yu, Zhongtian Sun, Shan Luo
2024	—	`conf`	Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. NLP4KGC@SEMANTiCS Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed
2024	J	`jnl`	Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. CoRR Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed
2023	B	`conf`	A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning. IEEE Big Data Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio
2023	—	`conf`	Adaptive Distance Message Passing From the Multi-Relational Edge View. Tiny Papers @ ICLR Zhongtian Sun, Alexandra I. Cristea, Pietro Lio, Jialin Yu
2023	—	`conf`	Can Text Encoders be Deceived by Length Attack? Tiny Papers @ ICLR Chenghao Xiao, Zihuiwen Ye, G. Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed
2023	J	`jnl`	Deep Latent Variable Models for Semi-supervised Paraphrase Generation. CoRR Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2023	J	`jnl`	Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. AI Open Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2023	J	`jnl`	MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model. AI Open Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio
2022	B	`conf`	Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. IJCNN Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Lei Shi, Noura Al Moubayed
2022	B	`conf`	Efficient Uncertainty Quantification for Multilabel Text Classification. IJCNN Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2022	B	`conf`	INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. IJCNN Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2022	J	`jnl`	INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. CoRR Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2022	B	`conf`	Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. IEEE Big Data Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Noura Al Moubayed, Lei Shi
2021	B	`conf`	A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs. ITS Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Lei Shi
2021	B	`conf`	A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data. IJCNN Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Noura Al Moubayed
2021	—	`conf`	Current Interest Enhanced Graph Neural Networks for Session-based Recommendation. ICAC Yujie Lu, Yayu Kong, Zhongtian Sun, Ze Zhang, Tingwei Chen, Yue Hu
2021	B	`conf`	Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. ITS Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi
2021	J	`jnl`	Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. CoRR Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi
2021	B	`conf`	MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns. ITS Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Craig D. Stewart, Filipe Dwan Pereira
2020	B	`conf`	Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach. ITS Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Gautham Senthilnathan, Lei Shi, Craig D. Stewart
2020	J	`jnl`	Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach. CoRR Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Gautham Senthilnathan, Lei Shi, Craig D. Stewart
2020	—	`conf`	Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course. ICCSE Jialin Yu, Olanrewaju Tahir Aduragba, Zhongtian Sun, Sue Black, Craig D. Stewart, Lei Shi, Alexandra I. Cristea