Search Results for author:
Found 14 papers, 3 papers with code
A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictions
The task of chemical reaction predictions (CRPs) plays a pivotal role in advancing drug discovery and material science.
Ranked #1 on
Chemical Reaction Prediction
on Mol-Instruction
Scientific Language Modeling: A Quantitative Review of Large Language Models in Molecular Science
Efficient molecular modeling and design are crucial for the discovery and exploration of novel molecules, and the incorporation of deep learning methods has revolutionized this field.
FlowHON: Representing Flow Fields Using Higher-Order Networks
FlowHON captures the inherent higher-order dependencies in flow fields as nodes and estimates the transitions among them as edges.
GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
Large language models have made significant strides in natural language processing, enabling innovative applications in molecular science by processing textual representations of molecules.
Ranked #1 on
Image Captioning
on ChEBI-20
A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution
Marketers employ various online advertising channels to reach customers, and they are particularly interested in attribution for measuring the degree to which individual touchpoints contribute to an eventual conversion.
Self-supervised On-device Federated Learning from Unlabeled Streams
The ubiquity of edge devices has led to a growing amount of unlabeled data produced at the edge.
Vector Approximate Message Passing based Channel Estimation for MIMO-OFDM Underwater Acoustic Communications
Accurate channel estimation is critical to the performance of orthogonal frequency-division multiplexing (OFDM) underwater acoustic (UWA) communications, especially under multiple-input multiple-output (MIMO) scenarios.
Proportionate Recursive Maximum Correntropy Criterion Adaptive Filtering Algorithms and their Performance Analysis
Motivated by the success of our recently proposed proportionate recursive least squares (PRLS) algorithm for sparse system identification, we propose to introduce the proportionate updating (PU) mechanism into the RMCC, leading to two sparsity-aware RMCC algorithms: the proportionate recursive MCC (PRMCC) algorithm and the combinational PRMCC (CPRMCC) algorithm.
An additive graphical model for discrete data
We introduce a nonparametric graphical model for discrete node variables based on additive conditional independence.
Joule-Thomson Expansion of RN-AdS Black Hole Immersed in Perfect Fluid Dark Matter
We derive the thermodynamic definitions and study the critical behaviour of this black hole.
General Relativity and Quantum Cosmology
Holographic DC Conductivity for Backreacted NLED in Massive Gravity
In this work a holographic model with the charge current dual to a general nonlinear electrodynamics (NLED) is discussed in the framework of massive gravity.
High Energy Physics - Theory Strongly Correlated Electrons General Relativity and Quantum Cosmology
A Unified Model for the Two-stage Offline-then-Online Resource Allocation
In this paper, we propose a unified model which incorporates both offline and online resource allocation into a single framework.
Projection based Active Gaussian Process Regression for Pareto Front Modeling
A novel projection based active Gaussian process regression (P- aGPR) method is proposed for efficient PF modeling.
Alibaba at IJCNLP-2017 Task 1: Embedding Grammatical Features into LSTMs for Chinese Grammatical Error Diagnosis Task
This paper introduces Alibaba NLP team system on IJCNLP 2017 shared task No.
Ranked #1 on
2D Human Pose Estimation
on Alibaba Cluster Trace
(using extra training data)
