19 citations · 53 across the 7 of their papers we have counts for
7 papers
PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer
Rui Feng, Huan Tran, Aubrey Toland +4
Polymer simulation with both accuracy and efficiency is a challenging task. Machine learning (ML) forcefields have been developed to achieve both the accuracy of ab initio methods…
May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations
Rui Feng, Qi Zhu, Huan Tran +4
Recent works have shown the promise of learning pre-trained models for 3D molecular representation. However, existing pre-training models focus predominantly on equilibrium data an…
End-to-End Stochastic Optimization with Energy-Based Model
Lingkai Kong, Jiaming Cui, Yuchen Zhuang +3
Decision-focused learning (DFL) was recently proposed for stochastic optimization problems that involve unknown parameters. By integrating predictive modeling with an implicitly di…
Learning Music-Dance Representations through Explicit-Implicit Rhythm Synchronization
Jiashuo Yu, Junfu Pu, Ying Cheng +2
Although audio-visual representation has been proved to be applicable in many downstream tasks, the representation of dancing videos, which is more specific and always accompanied…
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data
Rui Feng, Chen Luo, Qingyu Yin +3
User sessions empower many search and recommendation tasks on a daily basis. Such session data are semi-structured, which encode heterogeneous relations between queries and product…
Probing and Fine-tuning Reading Comprehension Models for Few-shot Event Extraction
Rui Feng, Jie Yuan, Chao Zhang
We study the problem of event extraction from text data, which requires both detecting target event types and their arguments. Typically, both the event detection and argument dete…
Transformer-Based Neural Text Generation with Syntactic Guidance
Yinghao Li, Rui Feng, Isaac Rehg +1
We study the problem of using (partial) constituency parse trees as syntactic guidance for controlled text generation. Existing approaches to this problem use recurrent structures,…