Peizhen Bai - RankMe

15 papers A* 1A 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation. AAAI Siqi Sun, Ben Peng Wu, Mali Jin, Peizhen Bai, Hanpei Zhang, Xingyi Song
2026	J	`jnl`	ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation. CoRR Siqi Sun, Ben Peng Wu, Mali Jin, Peizhen Bai, Hanpei Zhang, Xingyi Song
2025	J	`jnl`	Towards deployment-centric multimodal AI beyond vision and language. CoRR Xianyuan Liu, Jiayang Zhang, Shuo Zhou, Thijs L. van der Plas, Avish Vijayaraghavan, Anastasiia Grishina, Mengdie Zhuang, Daniel Schofield, Christopher Tomlinson, Yuhan Wang, Ruizhe Li, Louisa van Zeeland, Sina Tabakhi, Cyndie Demeocq, Xiang Li, Arunav Das, Orlando Timmerman, Thomas Baldwin-McDonald, Jinge Wu, Peizhen Bai, Zahraa Al Sahili, Omnia Alwazzan, Thao N. Do, Mohammod Naimul Islam Suvon, Angeline Wang, Lucia Cipolina-Kun, Luigi A. Moretti, Lucas Farndale, Nitisha Jain, Natalia Efremova, Yan Ge, Marta Varela, Hak-Keung Lam, Oya Çeliktutan, Ben R. Evans, Alejandro Coca-Castro, Honghan Wu, Zahraa S. Abdallah, Chen Chen, Valentin Danchev, Nataliya Tkachenko, Lei Lu, Tingting Zhu, Gregory G. Slabaugh, Roger K. Moore, William K. Cheung, Peter H. Charlton, Haiping Lu
2024	J	`jnl`	Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling. CoRR Yida Mu, Peizhen Bai, Kalina Bontcheva, Xingyi Song
2024	J	`jnl`	Mask prior-guided denoising diffusion improves inverse protein folding. CoRR Peizhen Bai, Filip Miljkovic, Xianyuan Liu, Leonardo De Maria, Rebecca Croasdale-Wood, Owen J. L. Rackham, Haiping Lu
2023	J	`jnl`	Geometry-aware Line Graph Transformer Pre-training for Molecular Property Prediction. CoRR Peizhen Bai, Xianyuan Liu, Haiping Lu
2023	J	`jnl`	GripNet: Graph information propagation on supergraph for heterogeneous graphs. Pattern Recognit. Hao Xu, Shengqi Sang, Peizhen Bai, Ruike Li, Laurence Yang, Haiping Lu
2023	J	`jnl`	Interpretable bilinear attention network with domain adaptation improves drug-target prediction. Nat. Mac. Intell. Peizhen Bai, Filip Miljkovic, Bino John, Haiping Lu
2022	J	`jnl`	Interpretable bilinear attention network with domain adaptation improves drug-target prediction. CoRR Peizhen Bai, Filip Miljkovic, Bino John, Haiping Lu
2022	A	`conf`	PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. CIKM Haiping Lu, Xianyuan Liu, Shuo Zhou, Robert Turner, Peizhen Bai, Raivo E. Koot, Mustafa Chasmai, Lawrence Schobs, Hao Xu
2021	—	`conf`	Hierarchical Clustering Split for Low-Bias Evaluation of Drug-Target Interaction Prediction. BIBM Peizhen Bai, Filip Miljkovic, Yan Ge, Nigel Greene, Bino John, Haiping Lu
2021	J	`jnl`	PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. CoRR Haiping Lu, Xianyuan Liu, Robert Turner, Peizhen Bai, Raivo E. Koot, Shuo Zhou, Mustafa Chasmai, Lawrence Schobs
2020	J	`jnl`	GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs. CoRR Hao Xu, Shengqi Sang, Peizhen Bai, Laurence T. Yang, Haiping Lu
2019	J	`jnl`	Corrigendum to "Joint interaction with context operation for collaborative filtering" [Pattern Recognition 88 (2019) 729-738]. Pattern Recognit. Peizhen Bai, Yan Ge, Fangling Liu, Haiping Lu
2019	J	`jnl`	Joint interaction with context operation for collaborative filtering. Pattern Recognit. Peizhen Bai, Yan Ge, Fangling Liu, Haiping Lu