100 citations · 176 across the 15 of their papers we have counts for
5 papers · 1 filter
Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation
Bo Peng, Ziqi Chen, Srinivasan Parthasarathy +1
Self-attention (SA) mechanisms have been widely used in developing sequential recommendation (SR) methods, and demonstrated state-of-the-art performance. However, in this paper, we…
Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation
Bo Peng, Ben Burns, Ziqi Chen +2
In recent years, with large language models (LLMs) achieving state-of-the-art performance in context understanding, increasing efforts have been dedicated to developing LLM-enhance…
RLSynC: Offline-Online Reinforcement Learning for Synthon Completion
Frazier N. Baker, Ziqi Chen, Daniel Adu-Ampratwum +1
Retrosynthesis is the process of determining the set of reactant molecules that can react to form a desired product. Semi-template-based retrosynthesis methods, which imitate the r…
Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models
Ziqi Chen, Bo Peng, Srinivasan Parthasarathy +1
Ligand-based drug design aims to identify novel drug candidates of similar shapes with known active molecules. In this paper, we formulated an in silico shape-conditioned molecule…
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy
Ziqi Chen, Martin Renqiang Min, Hongyu Guo +3
T cells monitor the health status of cells by identifying foreign peptides displayed on their surface. T-cell receptors (TCRs), which are protein complexes found on the surface of…