Minghu Song

18 papers A* 1A 1B 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CACHE Challenge #3: Targeting the Nsp3 Macrodomain of SARS-CoV-2.
J. Chem. Inf. Model.
Oleksandra Herasymenko, Madhushika Silva, Galen J. Correy, Abd Al-Aziz A. Abu-Saleh, Suzanne Ackloo, Cheryl H. Arrowsmith, Alan Ashworth, Fuqiang Ban, Hartmut Beck, Kevin P. Bishop, Hugo J. Bohórquez, Albina Bolotokova, Marko Breznik, Irene Chau, Yu Chen, Artem Cherkasov, Wim Dehaen, Dennis Della Corte, Katrin Denzinger, Niklas Piet Doering, Kristina Edfeldt, Aled M. Edwards, Darren Fayne, Francesco Gentile, Elisa Gibson, Ozan Gökdemir, Anders Gunnarsson, Judith Guenther, John J. Irwin, Jan Halborg Jensen, Rachel J. Harding, Alexander Hillisch, Laurent Hoffer, Anders Hogner, Ashley Hutchinson, Shubhangi Kandwal, Andrea Karlova, Kushal Koirala, Sergei Kotelnikov, Dima Kozakov, Juyong Lee, Soowon Lee, Uta F. Lessel, Sijie Liu, Xuefeng Liu, Peter Loppnau, Jens Meiler, Rocco Moretti, Yurii S. Moroz, Charuvaka Muvva, Tudor I. Oprea, Brooks Paige, Amit Pandit, Keunwan Park, Gennady Poda, Mykola V. Protopopov, Vera Pütter, Rahul Ravichandran, Didier Rognan, Edina Rosta, Yogesh Sabnis, Thomas Scott, Almagul Seitova, Purshotam Sharma, François Sindt, Minghu Song, Casper Steinmann, Rick Stevens, Valerij Talagayev, Valentyna V. Tararina, Olga O. Tarkhanova, Damon Tingey, John F. Trant, Dakota Treleaven, Alexander Tropsha, W. Patrick Walters, Jude Wells, Yvonne Westermaier, Gerhard Wolber, Lars Wortmann, Shuangjia Zheng, James S. Fraser, Matthieu Schapira
2026 J jnl
SIGMA: Structure-Invariant Generative Molecular Alignment for Chemical Language Models via Autoregressive Contrastive Learning.
CoRR
Xinyu Wang, Fei Dou, Jinbo Bi, Minghu Song
2026 A* conf
VEDA: Generation of 3D Molecules via Variance-Exploding Diffusion with Annealing.
AAAI
Peining Zhang, Jinbo Bi, Minghu Song
2025 J jnl
Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks.
CoRR
Xin Wang, Jinbo Bi, Minghu Song
2025 J jnl
Unraveling the Potential of Diffusion Models in Small Molecule Generation.
CoRR
Peining Zhang, Daniel Baker, Minghu Song, Jinbo Bi
2025 J jnl
VEDA: 3D Molecular Generation via Variance-Exploding Diffusion with Annealing.
CoRR
Peining Zhang, Jinbo Bi, Minghu Song
2023 B conf
Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints.
IEEE Big Data
Blake B. Gaines, Minghu Song, Jinbo Bi
2021 — conf
Binary Complex Neural Network Acceleration on FPGA : (Invited Paper).
ASAP
Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
2021 J jnl
Binary Complex Neural Network Acceleration on FPGA.
CoRR
Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
2021 J jnl
Multi-view spectral graph convolution with consistent edge attention for molecular modeling.
Neurocomputing
Chao Shang, Qinqing Liu, Qianqian Tong, Jiangwen Sun, Minghu Song, Jinbo Bi
2021 A conf
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper).
ICCAD
Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
2021 J jnl
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search.
CoRR
Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
2020 J jnl
Benchmark on Indexing Algorithms for Accelerating Molecular Similarity Search.
J. Chem. Inf. Model.
Chun Jiang Zhu, Minghu Song, Qinqing Liu, Chloé Becquey, Jinbo Bi
2019 — conf
Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing.
BIBM
Chun Jiang Zhu, Tan Zhu, Haining Li, Jinbo Bi, Minghu Song
2016 J jnl
Multiplicative Multitask Feature Learning.
J. Mach. Learn. Res.
Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun, Minghu Song
2006 J jnl
Development and Evaluation of an in Silico Model for hERG Binding.
J. Chem. Inf. Model.
Minghu Song, Matthew Clark
2003 J jnl
Dimensionality Reduction via Sparse Support Vector Machines.
J. Mach. Learn. Res.
Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, Minghu Song
2002 J jnl
Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression.
J. Chem. Inf. Comput. Sci.
Minghu Song, Curt M. Breneman, Jinbo Bi, Nagamani Sukumar, Kristin P. Bennett, Steven M. Cramer, Nihal Tugcu