Cong Fu
Scholar

Cong Fu

Google Scholar ID: 7fv5TGMAAAAJ
Texas A&M University, Computer Science
Geometric Deep LearningAI for SciencePhysical SimulationsMoleculesQuantum Many-Body Physics
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
618
 
H-index
10
 
i10-index
10
 
Publications
18
 
Co-authors
10
list available
Contact
No contact links provided.
Publications
15 items
ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation
2026
Cited
0
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs
2026
Cited
0
Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views
2025
Cited
0
A Probabilistic Framework for Temporal Distribution Generalization in Industry-Scale Recommender Systems
2025
Cited
0
Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics
2025
Cited
0
OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System
2025
Cited
0
Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations
2025
Cited
0
Augmenting Molecular Graphs with Geometries via Machine Learning Interatomic Potentials
2025
Cited
0
Resume (English only)
Co-authors
10 total
Shuiwang Ji, Professor and Truchard Family Chair
Shuiwang Ji, Professor and Truchard Family Chair
Department of Computer Science & Engineering, Texas A&M University
Limei Wang
Limei Wang
Texas A&M, Meta
Xuan Zhang
Xuan Zhang
PhD student, Department of Computer Science & Engineering, Texas A&M University
Yaochen Xie
Yaochen Xie
Applied Scientist, Amazon
Keqiang Yan
Keqiang Yan
Postdoc, Princeton University
Hao Yuan
Hao Yuan
Research Scientist, Meta Platforms, Inc.
Haiyang Yu
Haiyang Yu
Texas A&M University
Co-author 8
Co-author 8