173 citations · 210 across the 10 of their papers we have counts for
10 papers
DeepVRegulome: DNABERT-based deep-learning framework for predicting the functional impact of short genomic variants on the human regulome
Pratik Dutta, Matthew Obusan, Rekha Sathian +8
Whole-genome sequencing (WGS) has revealed numerous non-coding short variants whose functional impacts remain poorly understood. Despite recent advances in deep-learning genomic ap…
USE: Dynamic User Modeling with Stateful Sequence Models
Zhihan Zhou, Qixiang Fang, Leonardo Neves +5
User embeddings play a crucial role in user engagement forecasting and personalized services. Recent advances in sequence modeling have sparked interest in learning user embeddings…
DNABERT-S: Pioneering Species Differentiation with Species-Aware DNA Embeddings
Zhihan Zhou, Weimin Wu, Harrison Ho +5
We introduce DNABERT-S, a tailored genome model that develops species-aware embeddings to naturally cluster and segregate DNA sequences of different species in the embedding space.…
Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty
Guanlin Liu, Zhihan Zhou, Han Liu +1
Robust reinforcement learning (RL) aims to find a policy that optimizes the worst-case performance in the face of uncertainties. In this paper, we focus on action robust RL with th…
MorphPiece : A Linguistic Tokenizer for Large Language Models
Haris Jabbar
Tokenization is a critical part of modern NLP pipelines. However, contemporary tokenizers for Large Language Models are based on statistical analysis of text corpora, without much…
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome
Zhihan Zhou, Yanrong Ji, Weijian Li +3
Decoding the linguistic intricacies of the genome is a crucial problem in biology, and pre-trained foundational models such as DNABERT and Nucleotide Transformer have made signific…
KGML-xDTD: A Knowledge Graph-based Machine Learning Framework for Drug Treatment Prediction and Mechanism Description
Chunyu Ma, Zhihan Zhou, Han Liu +1
Background: Computational drug repurposing is a cost- and time-efficient approach that aims to identify new therapeutic targets or diseases (indications) of existing drugs/compound…
Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading
Zhihan Zhou, Liqian Ma, Han Liu
In this paper, we introduce an event-driven trading strategy that predicts stock movements by detecting corporate events from news articles. Unlike existing models that utilize tex…
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network
Yutai Hou, Wanxiang Che, Yongkui Lai +4
In this paper, we explore the slot tagging with only a few labeled support sentences (a.k.a. few-shot). Few-shot slot tagging faces a unique challenge compared to the other few-sho…
Few-Shot Sequence Labeling with Label Dependency Transfer and Pair-wise Embedding
Yutai Hou, Zhihan Zhou, Yijia Liu +4
While few-shot classification has been widely explored with similarity based methods, few-shot sequence labeling poses a unique challenge as it also calls for modeling the label de…