Search Results for author: Boya Zhang

Found 5 papers, 0 papers with code

CT-ADE: An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results

no code implementations19 Apr 2024 Anthony Yazdani, Alban Bornet, Boya Zhang, Philipp Khlebnikov, Poorya Amini, Douglas Teodoro

Adverse drug events (ADEs) significantly impact clinical research and public health, contributing to failures in clinical trials and leading to increased healthcare costs.

Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness

no code implementations28 Oct 2023 Boya Zhang, Weijian Luo, Zhihua Zhang

Based on our findings, we propose Purify++, a new diffusion purification algorithm that is now the state-of-the-art purification method against several adversarial attacks.

Entropy-based Training Methods for Scalable Neural Implicit Sampler

no code implementations8 Jun 2023 Weijian Luo, Boya Zhang, Zhihua Zhang

These benchmarks include sampling from 2D targets, Bayesian inference, and sampling from high-dimensional energy-based models (EBMs).

Bayesian Inference

DS4DH at TREC Health Misinformation 2021: Multi-Dimensional Ranking Models with Transfer Learning and Rank Fusion

no code implementations14 Feb 2022 Boya Zhang, Nona Naderi, Fernando Jaume-Santero, Douglas Teodoro

The TREC Health Misinformation track focused on the development of retrieval methods that provide relevant, correct and credible information for health related searches on the Web.

Information Retrieval Misinformation +3

The Choice of Knowledge Base in Automated Claim Checking

no code implementations15 Nov 2021 Dominik Stammbach, Boya Zhang, Elliott Ash

Automated claim checking is the task of determining the veracity of a claim given evidence found in a knowledge base of trustworthy facts.

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