Search Results for author: Haoyu Wang

Found 125 papers, 42 papers with code

Capturing the Content of a Document through Complex Event Identification

no code implementations *SEM (NAACL) 2022 Zheng Qi, Elior Sulem, Haoyu Wang, Xiaodong Yu, Dan Roth

We address this task as a pipeline, first predicting whether two granular events mentioned in the text belong to the same complex event, independently of their position in the text, and then using this to cluster them into complex events.

Representation Learning

Struct-X: Enhancing Large Language Models Reasoning with Structured Data

no code implementations17 Jul 2024 Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi

Structured data, rich in logical and relational information, has the potential to enhance the reasoning abilities of large language models (LLMs).

Data Augmentation Reading Comprehension

RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point Detection

no code implementations12 Jul 2024 Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Haifeng Chen, Jie Gao

The objective of change point detection is to identify abrupt changes at potentially multiple points within a data sequence.

Change Point Detection

On the (In)Security of LLM App Stores

no code implementations11 Jul 2024 Xinyi Hou, Yanjie Zhao, Haoyu Wang

LLM app stores have seen rapid growth, leading to the proliferation of numerous custom LLM apps.

CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models

no code implementations2 Jul 2024 Ying Nie, Binwei Yan, Tianyu Guo, Hao liu, Haoyu Wang, wei he, Binfan Zheng, WeiHao Wang, Qiang Li, Weijian Sun, Yunhe Wang, DaCheng Tao

(3) Financial Practice: whether LLMs can fulfill the practical financial jobs, such as tax consultant, junior accountant and securities analyst.


RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning

no code implementations16 Jun 2024 Haoyu Wang, Tianci Liu, Tuo Zhao, Jing Gao

By adding a sparsity constraint on the product of low-rank matrices and converting it to row and column-wise sparsity, we ensure efficient and precise model updates.

knowledge editing Language Modelling

Simul-Whisper: Attention-Guided Streaming Whisper with Truncation Detection

1 code implementation14 Jun 2024 Haoyu Wang, Guoqiang Hu, Guodong Lin, Wei-Qiang Zhang, Jian Li

As a robust and large-scale multilingual speech recognition model, Whisper has demonstrated impressive results in many low-resource and out-of-distribution scenarios.

Decoder speech-recognition +1

Haptic Repurposing with GenAI

no code implementations11 Jun 2024 Haoyu Wang

Through model-based object tracking, the system dynamically anchors virtual assets to physical props in real time, allowing objects to visually morph into any user-specified virtual object.

Mixed Reality MORPH +1

Towards Lightweight Speaker Verification via Adaptive Neural Network Quantization

no code implementations8 Jun 2024 Bei Liu, Haoyu Wang, Yanmin Qian

To enhance the performance of low-bit quantized models, a mixed precision quantization algorithm along with a multi-stage fine-tuning (MSFT) strategy is further introduced.

Quantization Speaker Verification

CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMs

1 code implementation27 May 2024 Haoyu Wang, Bei Liu, Hang Shao, Bo Xiao, Ke Zeng, Guanglu Wan, Yanmin Qian

In this paper, we present a novel and effective Column-Level Adaptive weight Quantization (CLAQ) framework by introducing three different types of adaptive strategies for LLM quantization.

Computational Efficiency Quantization

Devil's Advocate: Anticipatory Reflection for LLM Agents

no code implementations25 May 2024 Haoyu Wang, Tao Li, Zhiwei Deng, Dan Roth, Yang Li

The experimental results suggest that our introspection-driven approach not only enhances the agent's ability to navigate unanticipated challenges through a robust mechanism of plan execution, but also improves efficiency by reducing the number of trials and plan revisions by 45% needed to achieve a task.


GPT Store Mining and Analysis

no code implementations16 May 2024 Dongxun Su, Yanjie Zhao, Xinyi Hou, ShenAo Wang, Haoyu Wang

This paper presents an in-depth measurement study of the GPT Store, with a focus on the categorization of GPTs by topic, factors influencing GPT popularity, and the potential security risks.

ExACT: An End-to-End Autonomous Excavator System Using Action Chunking With Transformers

no code implementations9 May 2024 Liangliang Chen, Shiyu Jin, Haoyu Wang, Liangjun Zhang

Excavators are crucial for diverse tasks such as construction and mining, while autonomous excavator systems enhance safety and efficiency, address labor shortages, and improve human working conditions.

Chunking Imitation Learning

Large Language Models for Cyber Security: A Systematic Literature Review

1 code implementation8 May 2024 HanXiang Xu, ShenAo Wang, Ningke Li, Kailong Wang, Yanjie Zhao, Kai Chen, Ting Yu, Yang Liu, Haoyu Wang

Overall, our survey provides a comprehensive overview of the current state-of-the-art in LLM4Security and identifies several promising directions for future research.

Explainable Models Malware Analysis +3

Evaluating and Mitigating Linguistic Discrimination in Large Language Models

no code implementations29 Apr 2024 Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang

The results show that LLMs exhibit stronger human alignment capabilities with queries in English, French, Russian, and Spanish (only 1. 04\% of harmful queries successfully jailbreak on average) compared to queries in Bengali, Georgian, Nepali and Maithili (27. 7\% of harmful queries jailbreak successfully on average).

MV-VTON: Multi-View Virtual Try-On with Diffusion Models

1 code implementation26 Apr 2024 Haoyu Wang, Zhilu Zhang, Donglin Di, Shiliang Zhang, WangMeng Zuo

To address this challenge, we introduce Multi-View Virtual Try-ON (MV-VTON), which aims to reconstruct the dressing results of a person from multiple views using the given clothes.

Virtual Try-on

BLINK: Multimodal Large Language Models Can See but Not Perceive

no code implementations18 Apr 2024 Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A. Smith, Wei-Chiu Ma, Ranjay Krishna

We introduce Blink, a new benchmark for multimodal language models (LLMs) that focuses on core visual perception abilities not found in other evaluations.

Depth Estimation Multiple-choice +1

Glitch Tokens in Large Language Models: Categorization Taxonomy and Effective Detection

no code implementations15 Apr 2024 Yuxi Li, Yi Liu, Gelei Deng, Ying Zhang, Wenjia Song, Ling Shi, Kailong Wang, Yuekang Li, Yang Liu, Haoyu Wang

We present categorizations of the identified glitch tokens and symptoms exhibited by LLMs when interacting with glitch tokens.

Reinforcement Learning from Multi-role Debates as Feedback for Bias Mitigation in LLMs

no code implementations15 Apr 2024 Ruoxi Cheng, Haoxuan Ma, Shuirong Cao, Jiaqi Li, Aihua Pei, Zhiqiang Wang, Pengliang Ji, Haoyu Wang, Jiaqi Huo

Based on this, we propose Reinforcement Learning from Multi-role Debates as Feedback (RLDF), a novel approach for bias mitigation replacing human feedback in traditional RLHF.

Bias Detection Logical Reasoning +1

Mask-ControlNet: Higher-Quality Image Generation with An Additional Mask Prompt

no code implementations8 Apr 2024 Zhiqi Huang, Huixin Xiong, Haoyu Wang, Longguang Wang, Zhiheng Li

Then, the object images are employed as additional prompts to facilitate the diffusion model to better understand the relationship between foreground and background regions during image generation.

Text-to-Image Generation

A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids

no code implementations25 Mar 2024 Qi Li, Ye Shi, Yuning Jiang, Yuanming Shi, Haoyu Wang, H. Vincent Poor

The distinctive contribution of this paper lies in its holistic approach to both static and dynamic uncertainties in smart grids.

Model Predictive Control Scheduling

Stochastic Gradient Langevin Unlearning

no code implementations25 Mar 2024 Eli Chien, Haoyu Wang, Ziang Chen, Pan Li

Our approach achieves a similar utility under the same privacy constraint while using $2\%$ and $10\%$ of the gradient computations compared with the state-of-the-art gradient-based approximate unlearning methods for mini-batch and full-batch settings, respectively.

Machine Unlearning

Subequivariant Reinforcement Learning Framework for Coordinated Motion Control

no code implementations22 Mar 2024 Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu

Effective coordination is crucial for motion control with reinforcement learning, especially as the complexity of agents and their motions increases.


DL2Fence: Integrating Deep Learning and Frame Fusion for Enhanced Detection and Localization of Refined Denial-of-Service in Large-Scale NoCs

no code implementations20 Mar 2024 Haoyu Wang, Basel Halak, Jianjie Ren, Ahmad Atamli

This study introduces a refined Flooding Injection Rate-adjustable Denial-of-Service (DoS) model for Network-on-Chips (NoCs) and more importantly presents DL2Fence, a novel framework utilizing Deep Learning (DL) and Frame Fusion (2F) for DoS detection and localization.

NNCTC: Physical Layer Cross-Technology Communication via Neural Networks

no code implementations15 Mar 2024 Haoyu Wang, Jiazhao Wang, Demin Gao, Wenchao Jiang

In this work, we present NNCTC, a Neural-Network-based Cross-Technology Communication framework inspired by the adaptability of trainable neural models in wireless communications.

Logic Rules as Explanations for Legal Case Retrieval

1 code implementation3 Mar 2024 Zhongxiang Sun, Kepu Zhang, Weijie Yu, Haoyu Wang, Jun Xu

In this paper, we address the issue of using logic rules to explain the results from legal case retrieval.


PRSA: PRompt Stealing Attacks against Large Language Models

no code implementations29 Feb 2024 Yong Yang, Changjiang Li, Yi Jiang, Xi Chen, Haoyu Wang, Xuhong Zhang, Zonghui Wang, Shouling Ji

In recent years, "prompt as a service" has greatly enhanced the utility of large language models (LLMs) by enabling them to perform various downstream tasks efficiently without fine-tuning.

$C^3$: Confidence Calibration Model Cascade for Inference-Efficient Cross-Lingual Natural Language Understanding

no code implementations25 Feb 2024 Taixi Lu, Haoyu Wang, Huajie Shao, Jing Gao, Huaxiu Yao

Existing model cascade methods seek to enhance inference efficiency by greedily selecting the lightest model capable of processing the current input from a variety of models, based on model confidence scores.

Natural Language Understanding

OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models

1 code implementation21 Feb 2024 Meng Xu, Shuo Wang, Liner Yang, Haoyu Wang, Zhenghao Liu, Cunliang Kong, Yun Chen, Yang Liu, Maosong Sun, Erhong Yang

We evaluate several representative multilingual LLMs on the proposed OMGEval, which we believe will provide a valuable reference for the community to further understand and improve the multilingual capability of LLMs.

General Knowledge Logical Reasoning

Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping

no code implementations12 Feb 2024 Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu, Liu Liu, Yatao Bian, Tingyang Xu, Xueqian Wang, Peilin Zhao

To further exploit the capabilities of bootstrapping, we investigate and adjust the training order of data, which yields improved performance of the model.

In-Context Learning

UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset

1 code implementation7 Feb 2024 Haoyu Wang, Shuo Wang, Yukun Yan, Xujia Wang, Zhiyu Yang, Yuzhuang Xu, Zhenghao Liu, Liner Yang, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun

Different from previous works that simply translate English instructions, we consider both the language-specific and language-agnostic abilities of LLMs.

Cross-Lingual Transfer Data Augmentation

Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning

no code implementations18 Jan 2024 Eli Chien, Haoyu Wang, Ziang Chen, Pan Li

We propose Langevin unlearning, an unlearning framework based on noisy gradient descent with privacy guarantees for approximate unlearning problems.

Machine Unlearning

Digger: Detecting Copyright Content Mis-usage in Large Language Model Training

no code implementations1 Jan 2024 Haodong Li, Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei Zhang, Yang Liu, Guoai Xu, Guosheng Xu, Haoyu Wang

In this paper, we introduce a detailed framework designed to detect and assess the presence of content from potentially copyrighted books within the training datasets of LLMs.

Language Modelling Large Language Model +1

Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey

1 code implementation27 Oct 2023 Xinyu She, Yue Liu, Yanjie Zhao, Yiling He, Li Li, Chakkrit Tantithamthavorn, Zhan Qin, Haoyu Wang

After carefully examining these studies, we designed a taxonomy of pitfalls in LM4Code research and conducted a systematic study to summarize the issues, implications, current solutions, and challenges of different pitfalls for LM4Code systems.

Code Generation

Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models

no code implementations25 Oct 2023 WeiJie Chen, Haoyu Wang, Shicai Yang, Lei Zhang, Wei Wei, Yanning Zhang, Luojun Lin, Di Xie, Yueting Zhuang

Such a one-for-all adaptation paradigm allows us to adapt anything in the world using only one text-to-image generator as well as the corresponding unlabeled target data.

Domain Adaptation Image Classification

On the Inherent Privacy Properties of Discrete Denoising Diffusion Models

no code implementations24 Oct 2023 Rongzhe Wei, Eleonora Kreačić, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li

Privacy concerns have led to a surge in the creation of synthetic datasets, with diffusion models emerging as a promising avenue.

Denoising Privacy Preserving


1 code implementation23 Oct 2023 Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao

These issues can hardly be addressed by fine-tuning SAM on medical data because the original 2D structure of SAM neglects 3D spatial information.

3D Architecture Image Segmentation +1

DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee

1 code implementation20 Oct 2023 Haoyu Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin

Mixed-integer linear programming (MILP) stands as a notable NP-hard problem pivotal to numerous crucial industrial applications.

Data Augmentation

Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes

1 code implementation3 Oct 2023 Zhilu Zhang, Haoyu Wang, Shuai Liu, Xiaotao Wang, Lei Lei, WangMeng Zuo

The color component is estimated from aligned multi-exposure images, while the structure one is generated through a structure-focused network that is supervised by the color component and an input reference (\eg, medium-exposure) image.

HDR Reconstruction

Towards Poisoning Fair Representations

no code implementations28 Sep 2023 Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao

Fair machine learning seeks to mitigate model prediction bias against certain demographic subgroups such as elder and female.

Bilevel Optimization Data Poisoning +2

Channel Reciprocity Attacks Using Intelligent Surfaces with Non-Diagonal Phase Shifts

no code implementations20 Sep 2023 Haoyu Wang, Zhu Han, A. Lee Swindlehurst

While reconfigurable intelligent surface (RIS) technology has been shown to provide numerous benefits to wireless systems, in the hands of an adversary such technology can also be used to disrupt communication links.

GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection

1 code implementation12 Sep 2023 Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu

Subsequently, GLAD utilizes a temporal-attentive graph edge anomaly detection model for identifying anomalous relations in these dynamic log graphs.

Anomaly Detection Few-Shot Learning +1

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation

2 code implementations7 Sep 2023 Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao

To address these questions, we introduce A-Eval, a benchmark for the cross-dataset Evaluation ('Eval') of Abdominal ('A') multi-organ segmentation.

Organ Segmentation Segmentation


3 code implementations30 Aug 2023 Junlong Cheng, Jin Ye, Zhongying Deng, Jianpin Chen, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Junjun He, Shaoting Zhang, Min Zhu, Yu Qiao

To bridge this gap, we introduce SAM-Med2D, the most comprehensive studies on applying SAM to medical 2D images.

Decoder Image Segmentation +4

Large Language Models for Software Engineering: A Systematic Literature Review

1 code implementation21 Aug 2023 Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, Haoyu Wang

Nevertheless, a comprehensive understanding of the application, effects, and possible limitations of LLMs on SE is still in its early stages.

Versatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD Space

1 code implementation11 Aug 2023 Haoyu Wang, Haozhe Wu, Junliang Xing, Jia Jia

Creating realistic 3D facial animation is crucial for various applications in the movie production and gaming industry, especially with the burgeoning demand in the metaverse.

motion retargeting Optical Flow Estimation

LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types

1 code implementation12 Jun 2023 Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao

(2) adaptive re-weighting module, which adjusts the learning weights for different types according to the training epochs and numbers of associated samples by a novel training loss.

Classification Graph Neural Network +2

Prompt Injection attack against LLM-integrated Applications

no code implementations8 Jun 2023 Yi Liu, Gelei Deng, Yuekang Li, Kailong Wang, ZiHao Wang, XiaoFeng Wang, Tianwei Zhang, Yepang Liu, Haoyu Wang, Yan Zheng, Yang Liu

We deploy HouYi on 36 actual LLM-integrated applications and discern 31 applications susceptible to prompt injection.

DistilXLSR: A Light Weight Cross-Lingual Speech Representation Model

1 code implementation2 Jun 2023 Haoyu Wang, Siyuan Wang, Wei-Qiang Zhang, Jinfeng Bai

Multilingual self-supervised speech representation models have greatly enhanced the speech recognition performance for low-resource languages, and the compression of these huge models has also become a crucial prerequisite for their industrial application.

speech-recognition Speech Recognition

Task-Agnostic Structured Pruning of Speech Representation Models

no code implementations2 Jun 2023 Haoyu Wang, Siyuan Wang, Wei-Qiang Zhang, Hongbin Suo, Yulong Wan

Self-supervised pre-trained models such as Wav2vec2, Hubert, and WavLM have been shown to significantly improve many speech tasks.

Model Compression

Whisper-KDQ: A Lightweight Whisper via Guided Knowledge Distillation and Quantization for Efficient ASR

no code implementations18 May 2023 Hang Shao, Wei Wang, Bei Liu, Xun Gong, Haoyu Wang, Yanmin Qian

Due to the rapid development of computing hardware resources and the dramatic growth of data, pre-trained models in speech recognition, such as Whisper, have significantly improved the performance of speech recognition tasks.

Knowledge Distillation Quantization +2

Echo disappears: momentum term structure and cyclic information in turnover

no code implementations7 Apr 2023 Haoyu Wang, Junpeng Di, Yuegu Xie

We extract cyclic information in turnover and find it can explain the momentum echo.

SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification

no code implementations19 Feb 2023 Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao

This new framework utilizes data that have similar labels when estimating fairness on a particular label group for better stability, and can unify DP and EOp.

Classification Fairness +1

Unsupervised Learning for Combinatorial Optimization Needs Meta-Learning

1 code implementation8 Jan 2023 Haoyu Wang, Pan Li

With this observation, we propose a new objective of unsupervised learning for CO where the goal of learning is to search for good initialization for future problem instances rather than give direct solutions.

Combinatorial Optimization Meta-Learning

Resampling Sensitivity of High-Dimensional PCA

no code implementations30 Dec 2022 Haoyu Wang

Let $ \mathbf{v} $ and $ \mathbf{v}^{[k]} $ denote the principal components of $ \mathbf{X} $ and $ \mathbf{X}^{[k]} $.

Vocal Bursts Intensity Prediction

Generic Temporal Reasoning with Differential Analysis and Explanation

no code implementations20 Dec 2022 Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin, Dan Roth

Temporal reasoning is the task of predicting temporal relations of event pairs.

Biomedical image analysis competitions: The state of current participation practice

no code implementations16 Dec 2022 Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, Alison Noble, Carlos Ortiz de Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne Martel, Carlos Martín-Isla, Bjoern Menze, Chinedu Innocent Nwoye, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Carole Sudre, Kimberlin Van Wijnen, Armine Vardazaryan, Tom Vercauteren, Martin Wagner, Chuanbo Wang, Moi Hoon Yap, Zeyun Yu, Chun Yuan, Maximilian Zenk, Aneeq Zia, David Zimmerer, Rina Bao, Chanyeol Choi, Andrew Cohen, Oleh Dzyubachyk, Adrian Galdran, Tianyuan Gan, Tianqi Guo, Pradyumna Gupta, Mahmood Haithami, Edward Ho, Ikbeom Jang, Zhili Li, Zhengbo Luo, Filip Lux, Sokratis Makrogiannis, Dominik Müller, Young-tack Oh, Subeen Pang, Constantin Pape, Gorkem Polat, Charlotte Rosalie Reed, Kanghyun Ryu, Tim Scherr, Vajira Thambawita, Haoyu Wang, Xinliang Wang, Kele Xu, Hung Yeh, Doyeob Yeo, Yixuan Yuan, Yan Zeng, Xin Zhao, Julian Abbing, Jannes Adam, Nagesh Adluru, Niklas Agethen, Salman Ahmed, Yasmina Al Khalil, Mireia Alenyà, Esa Alhoniemi, Chengyang An, Talha Anwar, Tewodros Weldebirhan Arega, Netanell Avisdris, Dogu Baran Aydogan, Yingbin Bai, Maria Baldeon Calisto, Berke Doga Basaran, Marcel Beetz, Cheng Bian, Hao Bian, Kevin Blansit, Louise Bloch, Robert Bohnsack, Sara Bosticardo, Jack Breen, Mikael Brudfors, Raphael Brüngel, Mariano Cabezas, Alberto Cacciola, Zhiwei Chen, Yucong Chen, Daniel Tianming Chen, Minjeong Cho, Min-Kook Choi, Chuantao Xie Chuantao Xie, Dana Cobzas, Julien Cohen-Adad, Jorge Corral Acero, Sujit Kumar Das, Marcela de Oliveira, Hanqiu Deng, Guiming Dong, Lars Doorenbos, Cory Efird, Sergio Escalera, Di Fan, Mehdi Fatan Serj, Alexandre Fenneteau, Lucas Fidon, Patryk Filipiak, René Finzel, Nuno R. Freitas, Christoph M. Friedrich, Mitchell Fulton, Finn Gaida, Francesco Galati, Christoforos Galazis, Chang Hee Gan, Zheyao Gao, Shengbo Gao, Matej Gazda, Beerend Gerats, Neil Getty, Adam Gibicar, Ryan Gifford, Sajan Gohil, Maria Grammatikopoulou, Daniel Grzech, Orhun Güley, Timo Günnemann, Chunxu Guo, Sylvain Guy, Heonjin Ha, Luyi Han, Il Song Han, Ali Hatamizadeh, Tian He, Jimin Heo, Sebastian Hitziger, SeulGi Hong, Seungbum Hong, Rian Huang, Ziyan Huang, Markus Huellebrand, Stephan Huschauer, Mustaffa Hussain, Tomoo Inubushi, Ece Isik Polat, Mojtaba Jafaritadi, SeongHun Jeong, Bailiang Jian, Yuanhong Jiang, Zhifan Jiang, Yueming Jin, Smriti Joshi, Abdolrahim Kadkhodamohammadi, Reda Abdellah Kamraoui, Inha Kang, Junghwa Kang, Davood Karimi, April Khademi, Muhammad Irfan Khan, Suleiman A. Khan, Rishab Khantwal, Kwang-Ju Kim, Timothy Kline, Satoshi Kondo, Elina Kontio, Adrian Krenzer, Artem Kroviakov, Hugo Kuijf, Satyadwyoom Kumar, Francesco La Rosa, Abhi Lad, Doohee Lee, Minho Lee, Chiara Lena, Hao Li, Ling Li, Xingyu Li, Fuyuan Liao, Kuanlun Liao, Arlindo Limede Oliveira, Chaonan Lin, Shan Lin, Akis Linardos, Marius George Linguraru, Han Liu, Tao Liu, Di Liu, Yanling Liu, João Lourenço-Silva, Jingpei Lu, Jiangshan Lu, Imanol Luengo, Christina B. Lund, Huan Minh Luu, Yi Lv, Uzay Macar, Leon Maechler, Sina Mansour L., Kenji Marshall, Moona Mazher, Richard McKinley, Alfonso Medela, Felix Meissen, Mingyuan Meng, Dylan Miller, Seyed Hossein Mirjahanmardi, Arnab Mishra, Samir Mitha, Hassan Mohy-ud-Din, Tony Chi Wing Mok, Gowtham Krishnan Murugesan, Enamundram Naga Karthik, Sahil Nalawade, Jakub Nalepa, Mohamed Naser, Ramin Nateghi, Hammad Naveed, Quang-Minh Nguyen, Cuong Nguyen Quoc, Brennan Nichyporuk, Bruno Oliveira, David Owen, Jimut Bahan Pal, Junwen Pan, Wentao Pan, Winnie Pang, Bogyu Park, Vivek Pawar, Kamlesh Pawar, Michael Peven, Lena Philipp, Tomasz Pieciak, Szymon Plotka, Marcel Plutat, Fattaneh Pourakpour, Domen Preložnik, Kumaradevan Punithakumar, Abdul Qayyum, Sandro Queirós, Arman Rahmim, Salar Razavi, Jintao Ren, Mina Rezaei, Jonathan Adam Rico, ZunHyan Rieu, Markus Rink, Johannes Roth, Yusely Ruiz-Gonzalez, Numan Saeed, Anindo Saha, Mostafa Salem, Ricardo Sanchez-Matilla, Kurt Schilling, Wei Shao, Zhiqiang Shen, Ruize Shi, Pengcheng Shi, Daniel Sobotka, Théodore Soulier, Bella Specktor Fadida, Danail Stoyanov, Timothy Sum Hon Mun, Xiaowu Sun, Rong Tao, Franz Thaler, Antoine Théberge, Felix Thielke, Helena Torres, Kareem A. Wahid, Jiacheng Wang, Yifei Wang, Wei Wang, Xiong Wang, Jianhui Wen, Ning Wen, Marek Wodzinski, Ye Wu, Fangfang Xia, Tianqi Xiang, Chen Xiaofei, Lizhan Xu, Tingting Xue, Yuxuan Yang, Lin Yang, Kai Yao, Huifeng Yao, Amirsaeed Yazdani, Michael Yip, Hwanseung Yoo, Fereshteh Yousefirizi, Shunkai Yu, Lei Yu, Jonathan Zamora, Ramy Ashraf Zeineldin, Dewen Zeng, Jianpeng Zhang, Bokai Zhang, Jiapeng Zhang, Fan Zhang, Huahong Zhang, Zhongchen Zhao, Zixuan Zhao, Jiachen Zhao, Can Zhao, Qingshuo Zheng, Yuheng Zhi, Ziqi Zhou, Baosheng Zou, Klaus Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein

Of these, 84% were based on standard architectures.


Zero-Shot On-the-Fly Event Schema Induction

no code implementations12 Oct 2022 Rotem Dror, Haoyu Wang, Dan Roth

The answers to these questions can be found by collecting many documents on the complex event of interest, extracting relevant information, and analyzing it.

Are All Steps Equally Important? Benchmarking Essentiality Detection of Events

no code implementations8 Oct 2022 Haoyu Wang, Hongming Zhang, Yueguan Wang, Yuqian Deng, Muhao Chen, Dan Roth

In this paper, we address this gap by examining the extent to which current models comprehend the essentiality of step events in relation to a goal event.


An evaluation of U-Net in Renal Structure Segmentation

no code implementations6 Sep 2022 Haoyu Wang, Ziyan Huang, Jin Ye, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Chenglong Ma, Jingqi Niu, Junjun He

Renal structure segmentation from computed tomography angiography~(CTA) is essential for many computer-assisted renal cancer treatment applications.

Image Segmentation Medical Image Segmentation +2

Gaze Estimation Approach Using Deep Differential Residual Network

no code implementations8 Aug 2022 Longzhao Huang, Yujie Li, Xu Wang, Haoyu Wang, Ahmed Bouridane, Ahmad Chaddad

We propose a differential residual model (DRNet) combined with a new loss function to make use of the difference information of two eye images.

Gaze Estimation

Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation

1 code implementation13 Jul 2022 Haoyu Wang, Nan Wu, Hang Yang, Cong Hao, Pan Li

Using machine learning to solve combinatorial optimization (CO) problems is challenging, especially when the data is unlabeled.

Combinatorial Optimization

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

no code implementations15 Mar 2022 Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei zhang, Chunjing Xu, Dit-yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu

One main reason that impedes the development of truly reliably self-driving systems is the lack of public datasets for evaluating the performance of object detectors on corner cases.

Autonomous Driving Object +2

Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation

no code implementations8 Mar 2022 Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu

The data-centric machine learning aims to find effective ways to build appropriate datasets which can improve the performance of AI models.

BIG-bench Machine Learning Data Augmentation

Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition

no code implementations23 Feb 2022 Xiaoguang Zhu, Ye Zhu, Haoyu Wang, Honglin Wen, Yan Yan, Peilin Liu

To solve the problem, we propose a multi-modality feature fusion network to combine the modalities of the skeleton sequence and RGB frame instead of the RGB video, as the key information contained by the combination of skeleton sequence and RGB frame is close to that of the skeleton sequence and RGB video.

Action Recognition

Random Graph Matching in Geometric Models: the Case of Complete Graphs

no code implementations22 Feb 2022 Haoyu Wang, Yihong Wu, Jiaming Xu, Israel Yolou

This paper studies the problem of matching two complete graphs with edge weights correlated through latent geometries, extending a recent line of research on random graph matching with independent edge weights to geometric models.

Graph Matching

Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis

1 code implementation30 Oct 2021 Haozhe Wu, Jia Jia, Haoyu Wang, Yishun Dou, Chao Duan, Qingshan Deng

Due to such huge differences between different styles, it is necessary to incorporate the talking style into audio-driven talking face synthesis framework.

Face Generation

BCDR: Betweenness Centrality-based Distance Resampling for Graph Shortest Distance Embedding

no code implementations29 Sep 2021 Haoyu Wang, Chun Yuan

Second, we perform Distance Resampling (DR) from original walk paths before maximum likelihood optimization instead of the PMI-based optimization and prove that this strategy preserves distance relation with respect to any calibrated node via steering optimization objective to reconstruct a global distance matrix.

Graph Representation Learning

Learning Constraints and Descriptive Segmentation for Subevent Detection

no code implementations EMNLP 2021 Haoyu Wang, Hongming Zhang, Muhao Chen, Dan Roth

The task of subevent detection aims to resolve this granularity issue, recognizing the membership of multi-granular events in event complexes.

Descriptive Text Segmentation

Multimodal Emergent Fake News Detection via Meta Neural Process Networks

no code implementations22 Jun 2021 Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao

The experimental results show our proposed MetaFEND model can detect fake news on never-seen events effectively and outperform the state-of-the-art methods.

Fake News Detection Hard Attention +1

DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection

no code implementations18 Jan 2021 Yuanchun Li, Jiayi Hua, Haoyu Wang, Chunyang Chen, Yunxin Liu

The core of the attack is a neural conditional branch constructed with a trigger detector and several operators and injected into the victim model as a malicious payload.

Backdoor Attack

An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications

1 code implementation13 Jan 2021 Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu

In contrast, faults related to the deployment of DL models on mobile devices (named as deployment faults of mobile DL apps) have not been well studied.

Unsupervised Label-aware Event Trigger and Argument Classification

no code implementations30 Dec 2020 Hongming Zhang, Haoyu Wang, Dan Roth

Rather than relying on annotated data, our model matches the semantics of identified events with those of event type labels.

Classification Event Extraction +1

What Are You Trying to Do? Semantic Typing of Event Processes

no code implementations CONLL 2020 Muhao Chen, Hongming Zhang, Haoyu Wang, Dan Roth

This paper studies a new cognitively motivated semantic typing task, multi-axis event process typing, that, given anevent process, attempts to infer free-form typelabels describing (i) the type of action made bythe process and (ii) the type of object the pro-cess seeks to affect.

Learning-To-Rank Vocal Bursts Type Prediction

Analogous Process Structure Induction for Sub-event Sequence Prediction

no code implementations EMNLP 2020 Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, Dan Roth

Computational and cognitive studies of event understanding suggest that identifying, comprehending, and predicting events depend on having structured representations of a sequence of events and on conceptualizing (abstracting) its components into (soft) event categories.

"What Are You Trying to Do?" Semantic Typing of Event Processes

no code implementations13 Oct 2020 Muhao Chen, Hongming Zhang, Haoyu Wang, Dan Roth

This paper studies a new cognitively motivated semantic typing task, multi-axis event process typing, that, given an event process, attempts to infer free-form type labels describing (i) the type of action made by the process and (ii) the type of object the process seeks to affect.

Learning-To-Rank Object +1

Joint Constrained Learning for Event-Event Relation Extraction

no code implementations EMNLP 2020 Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth

Understanding natural language involves recognizing how multiple event mentions structurally and temporally interact with each other.

Event Relation Extraction Relation +1

Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data

no code implementations17 Jul 2020 Yu Liang, Arin Chaudhuri, Haoyu Wang

Dimension reduction and visualization of high-dimensional data have become very important research topics because of the rapid growth of large databases in data science.

Dimensionality Reduction

Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware

1 code implementation29 May 2020 Ren He, Haoyu Wang, Pengcheng Xia, Liu Wang, Yuanchun Li, Lei Wu, Yajin Zhou, Xiapu Luo, Yao Guo, Guoai Xu

To facilitate future research, we have publicly released all the well-labelled COVID-19 themed apps (and malware) to the research community.

Cryptography and Security

Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study

no code implementations2 May 2020 Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu

Deep learning (DL) becomes increasingly pervasive, being used in a wide range of software applications.

Software Engineering

Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences

1 code implementation2 May 2020 Weihua He, Yujie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie

Neuromorphic data, recording frameless spike events, have attracted considerable attention for the spatiotemporal information components and the event-driven processing fashion.

Fairness Gesture Recognition

Lightrec: A memory and search-efficient recommender system

1 code implementation International World Wide Web Conference 2020 Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie

On top of such a structure, LightRec will have an item represented as additive composition of B codewords, which are optimally selected from each of the codebooks.

Recommendation Systems

REGNet: REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds

1 code implementation28 Feb 2020 Binglei Zhao, Hanbo Zhang, Xuguang Lan, Haoyu Wang, Zhiqiang Tian, Nanning Zheng

Reliable robotic grasping in unstructured environments is a crucial but challenging task.


Context-Aware Conversation Thread Detection in Multi-Party Chat

no code implementations IJCNLP 2019 Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu

In multi-party chat, it is common for multiple conversations to occur concurrently, leading to intermingled conversation threads in chat logs.

Do Multi-hop Readers Dream of Reasoning Chains?

1 code implementation WS 2019 Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao

General Question Answering (QA) systems over texts require the multi-hop reasoning capability, i. e. the ability to reason with information collected from multiple passages to derive the answer.

Question Answering

EVulHunter: Detecting Fake Transfer Vulnerabilities for EOSIO's Smart Contracts at Webassembly-level

1 code implementation25 Jun 2019 Lijin Quan, Lei Wu, Haoyu Wang

Unfortunately, current tools are web-application oriented and cannot be applied to EOSIO WebAssembly code directly, which makes it more difficult to detect vulnerabilities from those smart contracts.

Cryptography and Security

Binarized Collaborative Filtering with Distilling Graph Convolutional Networks

no code implementations5 Jun 2019 Haoyu Wang, Defu Lian, Yong Ge

Then we distill the ranking information derived from GCN into binarized collaborative filtering, which makes use of binary representation to improve the efficiency of online recommendation.

Collaborative Filtering Recommendation Systems

Group Chat Ecology in Enterprise Instant Messaging: How Employees Collaborate Through Multi-User Chat Channels on Slack

no code implementations4 Jun 2019 Dakuo Wang, Haoyu Wang, Mo Yu, Zahra Ashktorab, Ming Tan

We cross-referenced 117 project teams and their team-based Slack channels and identified 57 teams that appeared in both datasets, then we built a regression model to reveal the relationship between these group communication styles and the project team performance.


Nearest-Neighbor Neural Networks for Geostatistics

no code implementations28 Mar 2019 Haoyu Wang, Yawen Guan, Brian J. Reich

We propose a more flexible spatial prediction method based on the Nearest-Neighbor Neural Network (4N) process that embeds deep learning into a geostatistical model.


DOLORES: Deep Contextualized Knowledge Graph Embeddings

no code implementations AKBC 2020 Haoyu Wang, Vivek Kulkarni, William Yang Wang

We introduce a new method DOLORES for learning knowledge graph embeddings that effectively captures contextual cues and dependencies among entities and relations.

Knowledge Graph Embeddings Knowledge Graphs +3

Pose Flow: Efficient Online Pose Tracking

1 code implementation3 Feb 2018 Yuliang Xiu, Jiefeng Li, Haoyu Wang, Yinghong Fang, Cewu Lu

Multi-person articulated pose tracking in unconstrained videos is an important while challenging problem.

Ranked #9 on Pose Tracking on PoseTrack2017 (using extra training data)

Pose Tracking

Robust Task Clustering for Deep Many-Task Learning

no code implementations26 Aug 2017 Mo Yu, Xiaoxiao Guo, Jin-Feng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bo-Wen Zhou

We propose a new method to measure task similarities with cross-task transfer performance matrix for the deep learning scenario.

Clustering Few-Shot Learning +7

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