Search Results for author: Yibo Zhao

Found 15 papers, 3 papers with code

SUDO: Enhancing Text-to-Image Diffusion Models with Self-Supervised Direct Preference Optimization

1 code implementation20 Apr 2025 Liang Peng, Boxi Wu, Haoran Cheng, Yibo Zhao, Xiaofei He

In this paper, we introduce Self-sUpervised Direct preference Optimization (SUDO), a novel paradigm that optimizes both fine-grained details at the pixel level and global image quality.

global-optimization

Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving

no code implementations9 Mar 2025 Yao Cheng, Yibo Zhao, Jiapeng Zhu, Yao Liu, Xing Sun, Xiang Li

Large language models (LLMs) have demonstrated transformative potential across various domains, yet they face significant challenges in knowledge integration and complex problem reasoning, often leading to hallucinations and unreliable outputs.

Graph Question Answering Question Answering +2

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators

no code implementations20 Dec 2024 Hengjia Li, Yang Liu, Yibo Zhao, Haoran Cheng, Yang Yang, Linxuan Xia, Zekai Luo, Qibo Qiu, Boxi Wu, Tu Zheng, Zheng Yang, Deng Cai

To enhance the pose and identity consistency, we further propose a hierarchical spatial consistency loss to align the spatial structure between the generated images in the source and target domain.

Domain Adaptation

Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph

no code implementations17 Dec 2024 Yibo Zhao, Jiapeng Zhu, Can Xu, Xiang Li

The rapid growth of social media platforms has raised significant concerns regarding online content toxicity.

Multiple Information Prompt Learning for Cloth-Changing Person Re-Identification

no code implementations1 Nov 2024 Shengxun Wei, Zan Gao, Chunjie Ma, Yibo Zhao, Weili Guan, ShengYong Chen

Cloth-changing person re-identification is a subject closer to the real world, which focuses on solving the problem of person re-identification after pedestrians change clothes.

Cloth-Changing Person Re-Identification Prompt Learning

CHECKWHY: Causal Fact Verification via Argument Structure

1 code implementation20 Aug 2024 Jiasheng Si, Yibo Zhao, Yingjie Zhu, Haiyang Zhu, Wenpeng Lu, Deyu Zhou

In this paper, we introduce CheckWhy, a challenging dataset tailored to a novel causal fact verification task: checking the truthfulness of the causal relation within claims through rigorous reasoning steps.

Fact Verification Logical Reasoning

Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses

no code implementations16 Jun 2024 Zhiwen Fan, Pu Wang, Yang Zhao, Yibo Zhao, Boris Ivanovic, Zhangyang Wang, Marco Pavone, Hao Frank Yang

Leveraging this rich dataset, we further formulate the crash event feature learning as a novel text reasoning problem and further fine-tune various large language models (LLMs) to predict detailed accident outcomes, such as crash types, severity and number of injuries, based on contextual and environmental factors.

Ensemble Learning

UniHDA: A Unified and Versatile Framework for Multi-Modal Hybrid Domain Adaptation

no code implementations23 Jan 2024 Hengjia Li, Yang Liu, Yuqi Lin, Zhanwei Zhang, Yibo Zhao, weihang Pan, Tu Zheng, Zheng Yang, Yuchun Jiang, Boxi Wu, Deng Cai

In this paper, we propose UniHDA, a \textbf{unified} and \textbf{versatile} framework for generative hybrid domain adaptation with multi-modal references from multiple domains.

Attribute Diversity +1

Local Conditional Controlling for Text-to-Image Diffusion Models

no code implementations14 Dec 2023 Yibo Zhao, Liang Peng, Yang Yang, Zekai Luo, Hengjia Li, Yao Chen, Zheng Yang, Xiaofei He, Wei Zhao, Qinglin Lu, Boxi Wu, Wei Liu

It focuses on controlling specific local region according to user-defined image conditions, while the remaining regions are only conditioned by the original text prompt.

Image Generation

EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification

1 code implementation23 Oct 2023 Yingjie Zhu, Jiasheng Si, Yibo Zhao, Haiyang Zhu, Deyu Zhou, Yulan He

Experimental results show that the proposed approach outperforms the SOTA baselines and can generate linguistically diverse counterfactual data without disrupting their logical relationships.

counterfactual Data Augmentation +1

Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers

no code implementations22 Apr 2021 Jonathan W. Lee, George Gunter, Rabie Ramadan, Sulaiman Almatrudi, Paige Arnold, John Aquino, William Barbour, Rahul Bhadani, Joy Carpio, Fang-Chieh Chou, Marsalis Gibson, Xiaoqian Gong, Amaury Hayat, Nour Khoudari, Abdul Rahman Kreidieh, Maya Kumar, Nathan Lichtlé, Sean McQuade, Brian Nguyen, Megan Ross, Sydney Truong, Eugene Vinitsky, Yibo Zhao, Jonathan Sprinkle, Benedetto Piccoli, Alexandre M. Bayen, Daniel B. Work, Benjamin Seibold

This work presents an integrated framework of: vehicle dynamics models, with a particular attention to instabilities and traffic waves; vehicle energy models, with particular attention to accurate energy values for strongly unsteady driving profiles; and sparse Lagrangian controls via automated vehicles, with a focus on controls that can be executed via existing technology such as adaptive cruise control systems.

A Lightweight Algorithm to Uncover Deep Relationships in Data Tables

no code implementations7 Sep 2020 Jin Cao, Yibo Zhao, Linjun Zhang, Jason Li

The key to our approach is a computationally lightweight forward addition algorithm that we developed to recursively extract the functional dependencies between table columns that are scalable to tables with many columns.

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