no code implementations • ECCV 2020 • Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen
We show in experiments that our method generates synthetic images with realistic topology.
no code implementations • 29 May 2025 • Moinak Bhattacharya, Judy Huang, Amna F. Sher, Gagandeep Singh, Chao Chen, Prateek Prasanna
Accurately predicting immunotherapy response in Non-Small Cell Lung Cancer (NSCLC) remains a critical unmet need.
no code implementations • CVPR 2025 • Yang Qin, Chao Chen, Zhihang Fu, Dezhong Peng, Xi Peng, Peng Hu
Despite remarkable advancements in text-to-image person re-identification (TIReID) facilitated by the breakthrough of cross-modal embedding models, existing methods often struggle to distinguish challenging candidate images due to intrinsic limitations, such as network architecture and data quality.
no code implementations • 30 Apr 2025 • Sebastiaan van den Eijnden, Chao Chen, Koen Scheres, Thomas Chaffey, Alexander Lanzon
The scaled graph has been introduced recently as a nonlinear extension of the classical Nyquist plot for linear time-invariant systems.
no code implementations • 19 Apr 2025 • Chao Chen, Thomas Chaffey, Rodolphe Sepulchre
We propose a frequency-domain approach to dominance analysis for multi-input multi-output (MIMO) linear time-invariant systems.
no code implementations • 19 Apr 2025 • Chao Chen, Sei Zhen Khong, Rodolphe Sepulchre
This paper presents input-output stability analysis of nonlinear feedback systems based on the notion of soft and hard scaled relative graphs (SRGs).
4 code implementations • 14 Apr 2025 • Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu, Radu Timofte, Nicu Sebe, Ming-Hsuan Yang, Luc van Gool, Kaijin Zhang, Qingpeng Nong, Xiugang Dong, Hong Gao, Xiangsheng Zhou, Jiancheng Pan, Yanxing Liu, Xiao He, Jiahao Li, Yuze Sun, Xiaomeng Huang, Zhenyu Zhang, Ran Ma, YuHan Liu, Zijian Zhuang, Shuai Yi, Yixiong Zou, Lingyi Hong, Mingxi Chen, Runze Li, Xingdong Sheng, Wenqiang Zhang, Weisen Chen, Yongxin Yan, Xinguo Chen, Yuanjie Shao, Zhengrong Zuo, Nong Sang, Hao Wu, Haoran Sun, Shuming Hu, Yan Zhang, Zhiguang Shi, Yu Zhang, Chao Chen, Tao Wang, Da Feng, Linhai Zhuo, Ziming Lin, Yali Huang, Jie Me, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu, Maomao Xiong, Qunshu Zhang, Xinyu Cao, Yuqing Yang, Dianmo Sheng, Xuanpu Zhao, Zhiyu Li, Xuyang Ding, Wenqian Li
Cross-Domain Few-Shot Object Detection (CD-FSOD) poses significant challenges to existing object detection and few-shot detection models when applied across domains.
Cross-Domain Few-Shot
Cross-Domain Few-Shot Object Detection
+3
no code implementations • 13 Apr 2025 • Wenqi Fang, Chao Chen, Yongkui Yang, Zheng Wang
Discovering constants of motion is meaningful in helping understand the dynamical systems, but inevitably needs proficient mathematical skills and keen analytical capabilities.
no code implementations • 6 Apr 2025 • Moinak Bhattacharya, Saumya Gupta, Annie Singh, Chao Chen, Gagandeep Singh, Prateek Prasanna
In this work, we propose BrainMRDiff, a novel topology-preserving, anatomy-guided diffusion model for synthesizing brain MRI, leveraging brain and tumor anatomies as conditioning inputs.
1 code implementation • 4 Apr 2025 • Rufei Ma, Chao Chen
Due to the current lack of uncertainty estimation metrics in the rPPG field, this paper also proposes a new set of methods, using Spearman correlation coefficient, prediction interval coverage, and confidence interval width, to measure the effectiveness of uncertainty estimation methods under different noise conditions.
Computational Efficiency
Photoplethysmography (PPG) heart rate estimation
+1
no code implementations • CVPR 2025 • Takeshi Noda, Chao Chen, Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu, Zhizhong Han
To parameterize a continuous surface from sparse points, we propose a bijective surface parameterization (BSP) that learns the global shape from local patches.
no code implementations • 23 Jan 2025 • Rui Xu, Chao Chen, Yue Sun, Parvathinathan Venkitasubramaniam, Sihong Xie
Conformal prediction yields a prediction set with guaranteed $1-\alpha$ coverage of the true target under the i. i. d.
1 code implementation • 15 Jan 2025 • Zuoyu Yan, Qi Zhao, Ze Ye, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
Our method utilizes the topological features to enhance the representation learning of graph neural networks and achieve state-of-the-art performance on various node classification and link prediction benchmarks.
no code implementations • CVPR 2025 • Junsheng Wang, Nieqing Cao, Yan Ding, Mengying Xie, Fuqiang Gu, Chao Chen
Generating layouts from textual descriptions by large language models (LLMs) plays a crucial role in precise spatial reasoning-induced domains such as robotic object rearrangement and text-to-image generation.
1 code implementation • 27 Dec 2024 • Chao Chen, Yu-Shen Liu, Zhizhong Han
To better generalize a learned prior to unseen shapes, we introduce to represent frequency components as embeddings and disentangle the embedding of the low frequency component from the embedding of the full frequency component.
no code implementations • 17 Dec 2024 • Xiaxin Zhu, Fangming Guo, Xianlei Long, Qingyi Gu, Chao Chen, Fuqiang Gu
Event-based semantic segmentation has great potential in autonomous driving and robotics due to the advantages of event cameras, such as high dynamic range, low latency, and low power cost.
1 code implementation • 13 Dec 2024 • Yang Qin, Chao Chen, Zhihang Fu, Ze Chen, Dezhong Peng, Peng Hu, Jieping Ye
To address this challenge, we propose a novel RObust mUltitask Tuning and collaboration mEthod (ROUTE) to improve the comprehensive capabilities of open-source LLMs for Text2SQL, thereby providing a more practical solution.
1 code implementation • CVPR 2025 • Meilong Xu, Saumya Gupta, Xiaoling Hu, Chen Li, Shahira Abousamra, Dimitris Samaras, Prateek Prasanna, Chao Chen
Accurately modeling multi-class cell topology is crucial in digital pathology, as it provides critical insights into tissue structure and pathology.
1 code implementation • CVPR 2025 • Aniruddha Ganguly, Debolina Chatterjee, Wentao Huang, Jie Zhang, Alisa Yurovsky, Travis Steele Johnson, Chao Chen
Recent advances in Spatial Transcriptomics (ST) pair histology images with spatially resolved gene expression profiles, enabling predictions of gene expression across different tissue locations based on image patches.
1 code implementation • 2 Dec 2024 • Pengzhan Zhou, Yuepeng He, Yijun Zhai, Kaixin Gao, Chao Chen, Zhida Qin, Chong Zhang, Songtao Guo
Personalized Federated Learning (PFL), building upon FL, aims to address the issue of statistical heterogeneity and achieve personalization.
no code implementations • 22 Nov 2024 • Wentao Huang, Meilong Xu, Xiaoling Hu, Shahira Abousamra, Aniruddha Ganguly, Saarthak Kapse, Alisa Yurovsky, Prateek Prasanna, Tahsin Kurc, Joel Saltz, Michael L. Miller, Chao Chen
Spatial transcriptomics (ST) provides essential spatial context by mapping gene expression within tissue, enabling detailed study of cellular heterogeneity and tissue organization.
1 code implementation • 19 Nov 2024 • Jiaqi Yang, Nitish Mehta, Xiaoling Hu, Chao Chen, Chia-Ling Tsai
Accurate segmentation of Optical Coherence Tomography (OCT) images is crucial for diagnosing and monitoring retinal diseases.
no code implementations • 14 Nov 2024 • Gozde Merve Demirci, Jiachen Yao, Ming-Chih Ho, Xiaoling Hu, Wei-Chi Wu, Chao Chen, Chia-Ling Tsai
To address the scarcity of annotations, we propose a semi supervised segmentation framework designed to advance ROP studies without the need for extensive manual vessel annotation.
1 code implementation • 5 Nov 2024 • Fan Wang, Zhilin Zou, Nicole Sakla, Luke Partyka, Nil Rawal, Gagandeep Singh, Wei Zhao, Haibin Ling, Chuan Huang, Prateek Prasanna, Chao Chen
We empirically validate \emph{TopoTxR} using the VICTRE phantom breast dataset, showing that the topological structures extracted by our model effectively approximate the breast parenchymal structures.
no code implementations • 2 Nov 2024 • Takeshi Noda, Chao Chen, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu, Zhizhong Han
Recent methods usually train neural networks to overfit on single point clouds to infer signed distance functions (SDFs).
1 code implementation • 28 Oct 2024 • Taiyi Pan, Junyang He, Chao Chen, Yiming Li, Chen Feng
Visual place recognition (VPR) enables autonomous robots to identify previously visited locations, which contributes to tasks like simultaneous localization and mapping (SLAM).
Simultaneous Localization and Mapping
Visual Place Recognition
1 code implementation • 25 Oct 2024 • Chao Chen, Yu-Shen Liu, Zhizhong Han
To resolve this issue, we propose a method to promote pros of both data-driven based and overfitting-based methods for better generalization, faster inference, and higher accuracy in learning neural SDFs.
1 code implementation • 22 Oct 2024 • Saumya Gupta, Dimitris Samaras, Chao Chen
The Betti number, which represents the number of structures in an image, is a fundamental measure in topology.
no code implementations • 21 Oct 2024 • Jiachen Yao, Mayank Goswami, Chao Chen
A prevalent assumption regarding real-world data is that it lies on or close to a low-dimensional manifold.
no code implementations • 16 Oct 2024 • Lu Pang, Tao Sun, Weimin Lyu, Haibin Ling, Chao Chen
Through simultaneous optimization of the backdoored model and trigger generator, guided by dynamic data augmentation operation selectors, we achieve significant advancements.
no code implementations • 7 Oct 2024 • Jiahao Liu, YiYang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu, Ning Gu
Personalized algorithms can inadvertently expose users to discomforting recommendations, potentially triggering negative consequences.
1 code implementation • 3 Oct 2024 • Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen
Weakly supervised whole slide image (WSI) classification is challenging due to the lack of patch-level labels and high computational costs.
1 code implementation • 2 Oct 2024 • Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel Saltz, Chao Chen
We achieve superior performance on complex pathology images, thus improving the interpretability and even generalization power of TIL detection deep learning models.
no code implementations • 2 Oct 2024 • Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen
The emergence of Vision-Language Models (VLMs) represents a significant advancement in integrating computer vision with Large Language Models (LLMs) to generate detailed text descriptions from visual inputs.
no code implementations • 28 Sep 2024 • Weimin Lyu, Lu Pang, Tengfei Ma, Haibin Ling, Chao Chen
The emergence of Vision Language Models (VLMs) is a significant advancement in integrating computer vision with Large Language Models (LLMs) to produce detailed text descriptions based on visual inputs, yet it introduces new security vulnerabilities.
no code implementations • 6 Sep 2024 • Yi Xie, Tianyu Qiu, Yun Xiong, Xiuqi Huang, Xiaofeng Gao, Chao Chen
Time series analysis and prediction methods currently excel in quantitative analysis, offering accurate future predictions and diverse statistical indicators, but generally falling short in elucidating the underlying evolution patterns of time series.
1 code implementation • 4 Sep 2024 • Chen Li, Xiaoling Hu, Shahira Abousamra, Meilong Xu, Chao Chen
In downstream tasks, we show that the generated cell layouts can be used to guide the generation of high-quality pathology images.
no code implementations • 26 Aug 2024 • Chao Chen, Yu-Shen Liu, Zhizhong Han
Instead of object-centered coordinate system, current methods generalized global priors learned in seen classes to reconstruct 3D shapes from unseen classes in viewer-centered coordinate system.
no code implementations • 24 Aug 2024 • Chao Chen, Ruoyu Wang, Yuliang Guo, Cheng Zhao, Xinyu Huang, Chen Feng, Liu Ren
We conducted comprehensive experiments on the nuScenes dataset, demonstrating significant improvements over existing methods.
no code implementations • 1 Aug 2024 • Mingcong Lu, Jiangcai Zhu, Wang Hao, Zheng Li, Shusheng Zhang, Kailai Shao, Chao Chen, Nan Li, Feng Wang, Xin Lu
In this way, ISM is able to maintain the high quality of prefix LLM and low generation latency of causal LLM, simultaneously.
1 code implementation • 23 Jul 2024 • Kai Liu, Zhihang Fu, Chao Chen, Wei zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
Besides, we show the feasibility of distilling advanced LLMs' language processing abilities to a smaller yet effective StruXGPT-7B to execute structurization, addressing the practicality of our approach.
1 code implementation • 23 Jul 2024 • Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye
Detecting and rejecting unknown out-of-distribution (OOD) samples is critical for deployed neural networks to void unreliable predictions.
1 code implementation • NeurIPS 2023 • Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye
The key to OOD detection has two aspects: generalized feature representation and precise category description.
no code implementations • 6 Jul 2024 • Weimin Lyu, Zexin Bi, Fusheng Wang, Chao Chen
The advent of clinical language models integrated into electronic health records (EHR) for clinical decision support has marked a significant advancement, leveraging the depth of clinical notes for improved decision-making.
1 code implementation • 27 Jun 2024 • Liujuan Cao, Jianghang Lin, Zebo Hong, Yunhang Shen, Shaohui Lin, Chao Chen, Rongrong Ji
Most WSOD methods rely on traditional object proposals to generate candidate regions and are confronted with unstable training, which easily gets stuck in a poor local optimum.
no code implementations • 6 Jun 2024 • Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Ming Ding, Chao Chen, Kok-Leong Ong, Jun Zhang, Yang Xiang
Deep Learning (DL) powered by Deep Neural Networks (DNNs) has revolutionized various domains, yet understanding the intricacies of DNN decision-making and learning processes remains a significant challenge.
no code implementations • 4 Jun 2024 • Zhaochun Ren, Zhou Yang, Chenglong Ye, Yufeng Wang, Haizhou Sun, Chao Chen, Xiaofei Zhu, Yunbing Wu, Xiangwen Liao
Specifically, we conduct extensive pilot experiments and find that ICL conforms to the prototype theory on fine-grained emotion recognition.
no code implementations • 30 May 2024 • Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shengshan Hu, Asif Gill, Shirui Pan
The Large Language Model (LLM) watermark is a newly emerging technique that shows promise in addressing concerns surrounding LLM copyright, monitoring AI-generated text, and preventing its misuse.
no code implementations • 7 May 2024 • Xianlei Long, Hui Zhao, Chao Chen, Fuqiang Gu, Qingyi Gu
To address these challenges, this paper presents a hybrid system that incorporates a wide-angle camera, a high-speed search camera, and a galvano-mirror.
no code implementations • 23 Apr 2024 • Chao Chen, Chenghua Guo, Rui Xu, Xiangwen Liao, Xi Zhang, Sihong Xie, Hui Xiong, Philip Yu
Graphical models, including Graph Neural Networks (GNNs) and Probabilistic Graphical Models (PGMs), have demonstrated their exceptional capabilities across numerous fields.
no code implementations • 17 Apr 2024 • Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen
This paper is dedicated to bridging this gap by introducing Detector Collapse} (DC), a brand-new backdoor attack paradigm tailored for object detection.
no code implementations • 6 Apr 2024 • Tianle Pu, Changjun Fan, Mutian Shen, Yizhou Lu, Li Zeng, Zohar Nussinov, Chao Chen, Zhong Liu
The technique is originated from physics, but is very effective in enabling RL agents to explore to continuously improve the solutions during test.
no code implementations • 5 Apr 2024 • Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu, Zhihao Shi, Feng Wu, Jieping Ye
Preference alignment is pivotal for empowering large language models (LLMs) to generate helpful and harmless responses.
no code implementations • 1 Apr 2024 • Yue Sun, Chao Chen, Yuesheng Xu, Sihong Xie, Rick S. Blum, Parv Venkitasubramaniam
We theoretically derive conditions where GCNs incorporating such domain differential equations are robust to mismatched training and testing data compared to baseline domain agnostic models.
no code implementations • 30 Mar 2024 • Jiahao Yu, Yihai Duan, Longfei Xu, Chao Chen, Shuliang Liu, Kaikui Liu, Fan Yang, Xiangxiang Chu, Ning Guo
Multi-scenario route ranking (MSRR) is crucial in many industrial mapping systems.
no code implementations • 25 Mar 2024 • Weimin Lyu, Xiao Lin, Songzhu Zheng, Lu Pang, Haibin Ling, Susmit Jha, Chao Chen
Textual backdoor attacks pose significant security threats.
no code implementations • 24 Mar 2024 • Junhong Zhao, Wei Ying, Yaoqiang Pan, Zhenfeng Yi, Chao Chen, Kewei Hu, Hanwen Kang
This study investigates a learning-based phenotyping method using the Neural Radiance Field to achieve accurate in-situ phenotyping of pepper plants in greenhouse environments.
no code implementations • 22 Mar 2024 • Rui Xu, Yue Sun, Chao Chen, Parv Venkitasubramaniam, Sihong Xie
Uncertainty is critical to reliable decision-making with machine learning.
1 code implementation • 21 Mar 2024 • Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei LI, Yanwei Yu, Qingsong Wen, Chao Chen, Kai Zheng, Yunjun Gao, Xiaofang Zhou, Yu Zheng
In this paper, we present a comprehensive review of the development and recent advances in deep learning for trajectory computing (DL4Traj).
no code implementations • 18 Mar 2024 • Chao Chen, Christian Wagner, Jonathan M. Garibaldi
Since their introduction, fuzzy sets and systems have become an important area of research known for its versatility in modelling, knowledge representation and reasoning, and increasingly its potential within the context explainable AI.
1 code implementation • 28 Feb 2024 • Zhou Yang, Zhaochun Ren, Yufeng Wang, Chao Chen, Haizhou Sun, Xiaofei Zhu, Xiangwen Liao
Empathetic response generation aims to comprehend the cognitive and emotional states in dialogue utterances and generate proper responses.
1 code implementation • 23 Feb 2024 • Jiachen Yao, Nina Hagemann, Qiaojie Xiong, Jianxu Chen, Dirk M. Hermann, Chao Chen
In this paper, we study the morphology of brain vasculature through a topological lens.
no code implementations • 8 Feb 2024 • Ziqing Ma, Wenwei Wang, Tian Zhou, Chao Chen, Bingqing Peng, Liang Sun, Rong Jin
Current research predominantly relies on historical solar power data or numerical weather prediction in a single-modality format, ignoring the complementary information provided in different modalities.
no code implementations • 8 Feb 2024 • Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin
Time series analysis is vital for numerous applications, and transformers have become increasingly prominent in this domain.
Computational Efficiency
Multivariate Time Series Forecasting
+2
no code implementations • 6 Feb 2024 • Chao Chen, Hui Li, Xiaowei Jin
However, the discovery of governing equations from sparse data with high noise is still very challenging due to the difficulty of derivatives computation and the disturbance of noise.
1 code implementation • 6 Feb 2024 • Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye
Knowledge hallucination have raised widespread concerns for the security and reliability of deployed LLMs.
no code implementations • NeurIPS 2023 • Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye
Most existing OOD detection methods focused on exploring advanced training skills or training-free tricks to prevent the model from yielding overconfident confidence score for unknown samples.
1 code implementation • 26 Jan 2024 • Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu
At the "Sketch" stage, local directions of keypoints can be easily estimated by fast convolutional layers.
1 code implementation • CVPR 2024 • Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
Introducing interpretability and reasoning into Multiple Instance Learning (MIL) methods for Whole Slide Image (WSI) analysis is challenging, given the complexity of gigapixel slides.
1 code implementation • 6 Dec 2023 • Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Liang Sun, Rong Jin
Spatio-temporal forecasting is crucial in various fields and requires a careful balance between identifying subtle patterns and filtering out noise.
Ranked #5 on
Traffic Prediction
on BJTaxi
no code implementations • 6 Dec 2023 • Keifer Lee, Shubham Gupta, Sunglyoung Kim, Bhargav Makwana, Chao Chen, Chen Feng
Despite the great success of Neural Radiance Fields (NeRF), its data-gathering process remains vague with only a general rule of thumb of sampling as densely as possible.
no code implementations • 1 Dec 2023 • Chao Chen, Wei Chen, Di Zhao, Jianqi Chen, Li Qiu
This paper introduces a brand-new phase definition called the segmental phase for multi-input multi-output linear time-invariant systems.
no code implementations • 28 Nov 2023 • Chao Chen, Mingzhi Zhu, Ankush Pratap Singh, Yu Yan, Felix Juefei Xu, Chen Feng
It aims to summarize a long video walkthrough of a scene into a small set of frames that are spatially diverse in the scene, which has many impotant applications, such as in surveillance, real estate, and robotics.
1 code implementation • 28 Nov 2023 • Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen
In digital pathology, segmenting densely distributed objects like glands and nuclei is crucial for downstream analysis.
no code implementations • 28 Nov 2023 • Jianqi Chen, Wei Chen, Chao Chen, Li Qiu
In addition, the inverse operations of the considered connections, that is, network subtractions with correspondences are examined.
1 code implementation • 24 Nov 2023 • Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang
To efficiently encode the space of all cycles, we start with a cycle basis (i. e., a minimal set of cycles generating the cycle space) which we compute via the kernel of the 1-dimensional Hodge Laplacian of the input graph.
no code implementations • 7 Nov 2023 • Kewei Hu, Ying WEI, Yaoqiang Pan, Hanwen Kang, Chao Chen
Recently, a promising development has emerged in the form of Neural Radiance Field (NeRF), a novel method that utilises neural density fields.
no code implementations • 23 Oct 2023 • Weimin Lyu, Songzhu Zheng, Lu Pang, Haibin Ling, Chao Chen
Recent studies have revealed that \textit{Backdoor Attacks} can threaten the safety of natural language processing (NLP) models.
no code implementations • 25 Sep 2023 • Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen
Learning and decision-making in domains with naturally high noise-to-signal ratio, such as Finance or Healthcare, is often challenging, while the stakes are very high.
1 code implementation • 17 Sep 2023 • Hongcheng Guo, Jian Yang, Jiaheng Liu, Liqun Yang, Linzheng Chai, Jiaqi Bai, Junran Peng, Xiaorong Hu, Chao Chen, Dongfeng Zhang, Xu Shi, Tieqiao Zheng, Liangfan Zheng, Bo Zhang, Ke Xu, Zhoujun Li
However, there is a lack of specialized LLMs for IT operations.
no code implementations • 14 Sep 2023 • Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shirui Pan, Kok-Leong Ong, Jun Zhang, Yang Xiang
For the first time, we show the feasibility of a client-side adversary with limited knowledge being able to recover the training samples from the aggregated global model.
1 code implementation • ICCV 2023 • Chao Chen, Yu-Shen Liu, Zhizhong Han
However, these methods suffer from a slow inference due to the slow convergence of neural networks and the extensive calculation of distances to surface points, which limits them to small scale points.
no code implementations • ICCV 2023 • Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen
A popular approach is to iteratively generate pseudo-labels for unlabeled data and add them to the training set.
1 code implementation • 21 Jul 2023 • Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen
However, segmentation label noise usually has strong spatial correlation and has prominent bias in distribution.
1 code implementation • 19 Jul 2023 • Chen Li, Xiaoling Hu, Chao Chen
We stipulate that even with limited training labels, we can still reasonably approximate the confidence of model on unlabeled samples by inspecting the prediction consistency through the training process.
no code implementations • 8 Jul 2023 • Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie
Robust explanations of machine learning models are critical to establish human trust in the models.
no code implementations • 20 Jun 2023 • Dongming Wu, Lulu Wen, Chao Chen, Zhaoshu Shi
To mitigate this problem, we propose a novel and simple counterfactual data augmentation method to generate opinion expressions with reversed sentiment polarity.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+5
1 code implementation • NeurIPS 2023 • Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen
Segmentation of curvilinear structures such as vasculature and road networks is challenging due to relatively weak signals and complex geometry/topology.
no code implementations • 21 Apr 2023 • Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Liew, Zhetao Li
Federated learning (FL) is vulnerable to poisoning attacks, where adversaries corrupt the global aggregation results and cause denial-of-service (DoS).
no code implementations • 19 Apr 2023 • Jingjin Li, Chao Chen, Lei Pan, Mostafa Rahimi Azghadi, Hossein Ghodosi, Jun Zhang
The privacy issues include technical-wise information stealing and policy-wise privacy breaches.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
no code implementations • CVPR 2023 • Shahira Abousamra, Rajarsi Gupta, Tahsin Kurc, Dimitris Samaras, Joel Saltz, Chao Chen
In digital pathology, the spatial context of cells is important for cell classification, cancer diagnosis and prognosis.
1 code implementation • 2 Apr 2023 • Rebecca Salles, Janio Lima, Michel Reis, Rafaelli Coutinho, Esther Pacitti, Florent Masseglia, Reza Akbarinia, Chao Chen, Jonathan Garibaldi, Fabio Porto, Eduardo Ogasawara
They improved event detection evaluation by associating events and their representative detections, incorporating temporal tolerance in over 36\% of experiments compared to the usual classification metrics.
1 code implementation • 27 Mar 2023 • Tao Sun, Lu Pang, Chao Chen, Haibin Ling
It detects possible triggers in the token space using image structural similarity and label consistency between the test image and MAE restorations.
1 code implementation • CVPR 2023 • Chao Chen, Yu-Shen Liu, Zhizhong Han
To resolve this issue, we present a neural network to directly infer SDFs from single sparse point clouds without using signed distance supervision, learned priors or even normals.
1 code implementation • 22 Mar 2023 • Chao Chen, Haoyu Geng, Nianzu Yang, Xiaokang Yang, Junchi Yan
Dynamic graphs arise in various real-world applications, and it is often welcomed to model the dynamics directly in continuous time domain for its flexibility.
1 code implementation • 8 Feb 2023 • Chao Chen, Haoyu Geng, Gang Zeng, Zhaobing Han, Hua Chai, Xiaokang Yang, Junchi Yan
Inductive one-bit matrix completion is motivated by modern applications such as recommender systems, where new users would appear at test stage with the ratings consisting of only ones and no zeros.
no code implementations • ICCV 2023 • Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna
We propose a novel approach to learn enhanced modality-agnostic representations by employing a meta-learning strategy in training, even when only limited full modality samples are available.
no code implementations • 25 Jan 2023 • Chengqian Ma, Zhiqiang Wu, Chunlei Cai, Pengwei Zhang, Yi Wang, Long Zheng, Chao Chen, Quan Zhou
In the past decades, lots of progress have been done in the video compression field including traditional video codec and learning-based video codec.
no code implementations • 28 Dec 2022 • Chao Chen, Chenghua Guo, Rufeng Chen, Guixiang Ma, Ming Zeng, Xiangwen Liao, Xi Zhang, Sihong Xie
To foster trust in machine learning models, explanations must be faithful and stable for consistent insights.
1 code implementation • CVPR 2023 • Chao Chen, Xinhao Liu, Yiming Li, Li Ding, Chen Feng
LiDAR mapping is important yet challenging in self-driving and mobile robotics.
1 code implementation • 1 Dec 2022 • Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen
Most existing methods focus on learning noise-robust models from web images while neglecting the performance drop caused by the differences between web domain and real-world domain.
1 code implementation • 30 Nov 2022 • Jie Liu, Chao Chen, Jie Tang, Gangshan Wu
In the fine area, we use an Intra-Patch Self-Attention (IPSA) module to model long-range pixel dependencies in a local patch, and then a $3\times3$ convolution is applied to process the finest details.
1 code implementation • CVPR 2023 • Lu Pang, Tao Sun, Haibin Ling, Chao Chen
In experiments, we show that our method, trained without labels, is on-par with state-of-the-art defense methods trained using labels.
1 code implementation • 25 Sep 2022 • Dongli Tan, Jiang-Jiang Liu, Xingyu Chen, Chao Chen, Ruixin Zhang, Yunhang Shen, Shouhong Ding, Rongrong Ji
In this paper, we propose an efficient structure named Efficient Correspondence Transformer (ECO-TR) by finding correspondences in a coarse-to-fine manner, which significantly improves the efficiency of functional correspondence model.
no code implementations • 17 Sep 2022 • Sei Zhen Khong, Chao Chen, Alexander Lanzon
This extends classical dissipativity with static supply rates and dynamic supply rates of miscellaneous quadratic forms.
no code implementations • 31 Aug 2022 • Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu
Semi-supervised Anomaly Detection (AD) is a kind of data mining task which aims at learning features from partially-labeled datasets to help detect outliers.
1 code implementation • 19 Aug 2022 • Chao Chen, Zegang Cheng, Xinhao Liu, Yiming Li, Li Ding, Ruoyu Wang, Chen Feng
Inspired by noisy label learning, we propose a novel self-supervised framework named TF-VPR that uses temporal neighborhoods and learnable feature neighborhoods to discover unknown spatial neighborhoods.
no code implementations • 9 Aug 2022 • Weimin Lyu, Songzhu Zheng, Tengfei Ma, Haibin Ling, Chao Chen
Trojan attacks pose a severe threat to AI systems.
no code implementations • 9 Aug 2022 • Weimin Lyu, Xinyu Dong, Rachel Wong, Songzhu Zheng, Kayley Abell-Hart, Fusheng Wang, Chao Chen
Deep-learning-based clinical decision support using structured electronic health records (EHR) has been an active research area for predicting risks of mortality and diseases.
no code implementations • 28 Jul 2022 • Zijue Chen, Keenan Granland, Rhys Newbury, Chao Chen
We further validated HOB-CNN against two different types of 2D trees, and HOB-CNN shows generalization across different trees and robustness under different occluded conditions.
1 code implementation • 20 Jul 2022 • Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary Saltz, Tahsin Kurc, Joel Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen
In this paper, we introduce a novel topological interaction module to encode the topological interactions into a deep neural network.
2 code implementations • ICCV 2023 • Zequn Qin, Jingyu Chen, Chao Chen, Xiaozhi Chen, Xi Li
Bird's eye view (BEV) representation is a new perception formulation for autonomous driving, which is based on spatial fusion.
1 code implementation • 18 Jul 2022 • Chao Chen, Yu-Shen Liu, Zhizhong Han
Our insight here is that both the part learning and the part blending can be conducted much easier in the latent space than in the spatial space.
no code implementations • 10 Jul 2022 • Lin Li, Chao Chen, Lei Pan, Yonghang Tai, Jun Zhang, Yang Xiang
It reduces the success rate of rPPG spoofing attacks in user authentication to 0. 05.
no code implementations • RA-L 2022 • Fuqiang Gu, Yong Lee, Yuan Zhuang, You Li, Jingbin Liu, Fangwen Yu, Ruiyuan Li, Chao Chen
Event-based sensors (e. g., DVS cameras) are capable of higher dynamic range, higher temporal resolution, lower time latency, and better power efficiency compared to conventional devices (e. g., RGB cameras).
no code implementations • 6 Jun 2022 • Yikai Zhang, Jiachen Yao, Yusu Wang, Chao Chen
Topological loss based on persistent homology has shown promise in various applications.
no code implementations • 3 Jun 2022 • Xiaoling Hu, Dimitris Samaras, Chao Chen
We use discrete Morse theory and persistent homology to construct an one-parameter family of structures as the topological/structural representation space.
no code implementations • 21 May 2022 • Chao Chen, Zijian Gao, Kele Xu, Sen yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang
To handle the sparsity of the extrinsic rewards in reinforcement learning, researchers have proposed intrinsic reward which enables the agent to learn the skills that might come in handy for pursuing the rewards in the future, such as encouraging the agent to visit novel states.
1 code implementation • NAACL 2022 • Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen
Trojan attacks raise serious security concerns.
2 code implementations • 11 May 2022 • Yawei Li, Kai Zhang, Radu Timofte, Luc van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu1, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoğlu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gaoand Dengwen Zhouand Qian Ning, Jingzhu Tang, Han Huang, YuFei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Dengwen Zhou, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang
The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29. 00dB on DIV2K validation set.
no code implementations • 23 Apr 2022 • Mahmudul Hasan, Jakub R. Kaczmarzyk, David Paredes, Lyanne Oblein, Jaymie Oentoro, Shahira Abousamra, Michael Horowitz, Dimitris Samaras, Chao Chen, Tahsin Kurc, Kenneth R. Shroyer, Joel Saltz
Understanding the impact of tumor biology on the composition of nearby cells often requires characterizing the impact of biologically distinct tumor regions.
1 code implementation • IEEE Transactions on Knowledge and Data Engineering 2021 • Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
Capturing the dynamics in user preference is crucial to better predict user future behaviors because user preferences often drift over time.
1 code implementation • 2 Apr 2022 • Jing He, Yiyi Zhou, Qi Zhang, Jun Peng, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji
Pixel synthesis is a promising research paradigm for image generation, which can well exploit pixel-wise prior knowledge for generation.
1 code implementation • 1 Apr 2022 • Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun
Extensive experiments on HICO-Det dataset demonstrate that our model discovers potential interactive pairs and enables the recognition of unseen HOIs.
Human-Object Interaction Detection
Knowledge Distillation
+4
1 code implementation • 30 Mar 2022 • Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang
User interests are usually dynamic in the real world, which poses both theoretical and practical challenges for learning accurate preferences from rich behavior data.
3 code implementations • 30 Mar 2022 • Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji
In this paper, we propose a simple yet universal network termed SeqTR for visual grounding tasks, e. g., phrase localization, referring expression comprehension (REC) and segmentation (RES).
Ranked #11 on
Referring Expression Segmentation
on RefCOCO testB
no code implementations • 29 Mar 2022 • Chao Chen, Xiaowei Jin, Hui Li
The partial differential equation (PDE) plays a significantly important role in many fields of science and engineering.
no code implementations • 24 Mar 2022 • Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris Metaxas
Assuming data lies in a manifold, we investigate two new types of adversarial risk, the normal adversarial risk due to perturbation along normal direction, and the in-manifold adversarial risk due to perturbation within the manifold.
no code implementations • CVPR 2022 • Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
In our method, a self-attention based Temporal Convolutional Network (TCN) is used to learn a representation that is most reflective of the disease trajectory.
1 code implementation • 7 Feb 2022 • Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai
We propose a novel TopologyAttention ConvLSTM Network (TACNet) for 3D image segmentation in order to achieve high structural accuracy for 3D segmentation tasks.
2 code implementations • 28 Jan 2022 • Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
Topological features based on persistent homology capture high-order structural information so as to augment graph neural network methods.
1 code implementation • 18 Jan 2022 • Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du
To address this problem, we propose Resistance Training using Prior Bias (RTPB) for the scene graph generation.
no code implementations • CVPR 2022 • Mingrui Wu, Xuying Zhang, Xiaoshuai Sun, Yiyi Zhou, Chao Chen, Jiaxin Gu, Xing Sun, Rongrong Ji
Current Image captioning (IC) methods predict textual words sequentially based on the input visual information from the visual feature extractor and the partially generated sentence information.
no code implementations • 8 Dec 2021 • Hanwen Kang, Xing Wang, Chao Chen
It is vital for robots to recognise and localise fruits before the harvesting in natural orchards.
no code implementations • 6 Dec 2021 • Wenjie Chu, Shen Li, Chao Chen, Longfei Xu, Hengbin Cui, Kaikui Liu
Most of the existing methods for debaising in click-through rate (CTR) prediction depend on an oversimplified assumption, i. e., the click probability is the product of observation probability and relevance probability.
no code implementations • 29 Nov 2021 • Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie
We design a user study to investigate such joint effects and use the findings to design a multi-objective optimization (MOO) algorithm to find Pareto optimal explanations that are well-balanced in simulatability and counterfactual.
no code implementations • 20 Nov 2021 • Liling Zhang, Xinyu Lei, Yichun Shi, Hongyu Huang, Chao Chen
Federated Learning (FL) enables a group of clients to jointly train a machine learning model with the help of a centralized server.
no code implementations • 20 Oct 2021 • Ran Cheng, Chao Chen, Longfei Xu, Shen Li, Lei Wang, Hengbin Cui, Kaikui Liu, Xiaolong Li
For user representation, we utilize a series of historical navigation to extract user preference.
1 code implementation • ICLR 2022 • Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen
Despite their success and popularity, deep neural networks (DNNs) are vulnerable when facing backdoor attacks.
2 code implementations • ICCV 2021 • Shahira Abousamra, David Belinsky, John Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin Kurc, Dimitris Samaras, Joel Saltz, Chao Chen
In digital pathology, both detection and classification of cells are important for automatic diagnostic and prognostic tasks.
1 code implementation • 6 Oct 2021 • Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
In this paper, we consider rules as cycles and show that the space of cycles has a unique structure based on the mathematics of algebraic topology.
Graph Representation Learning
Inductive Relation Prediction
+3
no code implementations • 30 Sep 2021 • Di Zhao, Chao Chen, Sei Zhen Khong
In this study, we extend the theory of negative imaginary (NI) systems to a nonlinear framework using a frequency-domain approach.
no code implementations • 29 Sep 2021 • Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
We propose to collect cycle bases that span the space of cycles.
no code implementations • 29 Sep 2021 • Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Yuriy Nevmyvaka, Chao Chen
Learning and decision making in domains with naturally high noise-to-signal ratios – such as Finance or Public Health – can be challenging and yet extremely important.
no code implementations • 15 Sep 2021 • Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie
Learning to compare two objects are essential in applications, such as digital forensics, face recognition, and brain network analysis, especially when labeled data is scarce and imbalanced.
no code implementations • 3 Sep 2021 • Chao Chen, Wei Chen, Di Zhao, Sei Zhen Khong, Li Qiu
It is, thus, different from the recently appeared nonlinear system phase which adopts the complexification of real-valued signals using the Hilbert transform.
no code implementations • NeurIPS 2021 • Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen
Deep neural networks are known to have security issues.
no code implementations • 20 May 2021 • Li-Heng Chen, Christos G. Bampis, Zhi Li, Chao Chen, Alan C. Bovik
The layers of convolutional neural networks (CNNs) can be used to alter the resolution of their inputs, but the scaling factors are limited to integer values.
1 code implementation • AAAI 2021 • Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
One-bit matrix completion is an important class of positiveunlabeled (PU) learning problems where the observations consist of only positive examples, eg, in top-N recommender systems.
1 code implementation • 13 May 2021 • Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
Characterization of breast parenchyma on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a challenging task owing to the complexity of underlying tissue structures.
no code implementations • 13 May 2021 • XiaoYu Zhang, Chao Chen, Yi Xie, Xiaofeng Chen, Jun Zhang, Yang Xiang
This survey presents the most recent findings of privacy attacks and defenses appeared in cloud-based neural network services.
1 code implementation • 12 May 2021 • Jinming Su, Chao Chen, Ke Zhang, Junfeng Luo, Xiaoming Wei, Xiaolin Wei
Next, multi-level structural constraints are used to improve the perception of lanes.
Ranked #37 on
Lane Detection
on CULane
no code implementations • 15 Apr 2021 • Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang
In collaborative filtering (CF) algorithms, the optimal models are usually learned by globally minimizing the empirical risks averaged over all the observed data.
1 code implementation • 4 Apr 2021 • Chao Chen, Catalina Raymond, Bill Speier, Xinyu Jin, Timothy F. Cloughesy, Dieter Enzmann, Benjamin M. Ellingson, Corey W. Arnold
To alleviate the data imbalance problem between normal tissues and the tumor regions, we introduce a local loss to improve the contribution of the tumor regions, which leads to better enhancement results on tumors.
no code implementations • ICLR 2021 • Xiaoling Hu, Yusu Wang, Li Fuxin, Dimitris Samaras, Chao Chen
In the segmentation of fine-scale structures from natural and biomedical images, per-pixel accuracy is not the only metric of concern.
1 code implementation • ICLR 2021 • Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen
Label noise is frequently observed in real-world large-scale datasets.
Ranked #14 on
Learning with noisy labels
on ANIMAL
no code implementations • 11 Mar 2021 • Girish Mururu, Chao Chen, Chris Porter, Santosh Pande, Ada Gavrilovska
Typical schedulers in multi-tenancy environments make use of reactive, feedback-oriented mechanisms based on performance counters to avoid resource contention but suffer from detection lag and loss of performance.
Distributed, Parallel, and Cluster Computing
1 code implementation • 20 Feb 2021 • Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
Link prediction is an important learning task for graph-structured data.
2 code implementations • 16 Feb 2021 • Yuantian Miao, Chao Chen, Lei Pan, Qing-Long Han, Jun Zhang, Yang Xiang
Stealing attack against controlled information, along with the increasing number of information leakage incidents, has become an emerging cyber security threat in recent years.
no code implementations • 10 Feb 2021 • Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami
This raises the question: is the stability analysis of [18] tight for smooth functions, and if not, for what kind of loss functions and data distributions can the stability analysis be improved?
1 code implementation • 9 Feb 2021 • Yikai Zhang, Hui Qu, Qi Chang, Huidong Liu, Dimitris Metaxas, Chao Chen
A federatedGAN jointly trains a centralized generator and multiple private discriminators hosted at different sites.
1 code implementation • ICCV 2021 • Chao Chen, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
Our method pushes the neural network to generate a 3D point cloud whose 2D projections match the irregular point supervision from different view angles.
no code implementations • 1 Jan 2021 • Ze Ye, Tengfei Ma, Chien-Chun Ni, Kin Sum Liu, Jie Gao, Chao Chen
We propose a novel GNN defense algorithm against structural attacks that maliciously modify graph topology.
no code implementations • 1 Jan 2021 • Yikai Zhang, Samuel Bald, Wenjia Zhang, Vamsi Pritham Pingali, Chao Chen, Mayank Goswami
We provide empirical evidence that this condition holds for several loss functions, and provide theoretical evidence that the known tight SGD stability bounds for convex and non-convex loss functions can be circumvented by HC loss functions, thus partially explaining the generalization of deep neural networks.
1 code implementation • 23 Dec 2020 • Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen
Due to various challenges, a localization method is prone to spatial semantic errors, i. e., predicting multiple dots within a same person or collapsing multiple dots in a cluttered region.
1 code implementation • NeurIPS 2020 • Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris Metaxas, Chao Chen
Noisy labels can impair the performance of deep neural networks.
no code implementations • 30 Nov 2020 • Chao Chen, Di Zhao, Wei Chen, Sei Zhen Khong, Li Qiu
A nonlinear small phase theorem is then established for feedback stability analysis of semi-sectorial systems.
3 code implementations • ICML 2020 • Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris Metaxas, Chao Chen
To be robust against label noise, many successful methods rely on the noisy classifiers (i. e., models trained on the noisy training data) to determine whether a label is trustworthy.
Ranked #41 on
Image Classification
on Clothing1M
2 code implementations • 16 Nov 2020 • Chao Chen, Tianyu Liang, George Biros
We introduce a randomized algorithm, namely RCHOL, to construct an approximate Cholesky factorization for a given Laplacian matrix (a. k. a., graph Laplacian).
Numerical Analysis Mathematical Software Numerical Analysis
no code implementations • 16 Oct 2020 • Keenan Granland, Rhys Newbury, David Ting, Chao Chen
It is shown that in our application, the new Automating-the-Loop method greatly reduces the labeling effort while producing comparable performance to both human-in-the-loop and complete manual labeling methods.
no code implementations • 14 Oct 2020 • Zijue Chen, David Ting, Rhys Newbury, Chao Chen
DeepLabv3 outperforms the other models at Binary accuracy, Mean IoU and Boundary F1 score, but is surpassed by Pix2Pix (without discriminator) and U-Net in Occluded branch recall.
1 code implementation • NeurIPS 2020 • Jialin Yuan, Chao Chen, Li Fuxin
Specifically, we propose a variational relaxation of instance segmentation as minimizing an optimization functional for a piecewise-constant segmentation problem, which can be used to train an FCN end-to-end.
no code implementations • 18 Jul 2020 • Zhiyong Yu, Lei Han, Chao Chen, Wenzhong Guo, Zhiwen Yu
This paper proposes a strategy named IHMs (Intermediate Searching at Heuristic Moments): each step we figure out which moment is the best to search according to a heuristic indicator, then at that moment search locations one by one in descending order of predicted appearing probabilities, until a search hits; iterate this step until we get the object's current location.
1 code implementation • ECCV 2020 • Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris Metaxas
Our proposed method tackles the challenge of training GAN in the federated learning manner: How to update the generator with a flow of temporary discriminators?
no code implementations • ICML 2020 • Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker
To optimize 3D shape parameters, current renderers rely on pixel-wise losses between rendered images of 3D reconstructions and ground truth images from corresponding viewpoints.
no code implementations • 28 Jun 2020 • Abdelkader Nasreddine Belkacem, Sofia Ouhbi, Abderrahmane Lakas, Elhadj Benkhelifa, Chao Chen
Respiratory symptoms can be a caused by different underlying conditions, and are often caused by viral infections, such as Influenza-like illnesses or other emerging viruses like the Coronavirus.
no code implementations • 27 Jun 2020 • Wei Wang, Gangqiang Hu, Bo Yuan, Shandong Ye, Chao Chen, YaYun Cui, Xi Zhang, Liting Qian
To illustrate the importance of prior knowledge, the result of the algorithm without prior knowledge is also investigated.
1 code implementation • 30 May 2020 • Chao Chen, Zhihong Chen, Xinyu Jin, Lanjuan Li, William Speier, Corey W. Arnold
However, training with the global image underutilizes discriminative local information, while providing extra annotations is expensive and subjective.
1 code implementation • CVPR 2020 • Qi Chang, Hui Qu, Yikai Zhang, Mert Sabuncu, Chao Chen, Tong Zhang, Dimitris Metaxas
In this paper, we propose a data privacy-preserving and communication efficient distributed GAN learning framework named Distributed Asynchronized Discriminator GAN (AsynDGAN).
no code implementations • ICLR 2020 • Ze Ye, Kin Sum Liu, Tengfei Ma, Jie Gao, Chao Chen
Graph-structured data is prevalent in many domains.
no code implementations • 21 Apr 2020 • Yifei Liu, Chao Chen, Xi Zhang, Sihong Xie
There is no existing method to rigorously attribute the inference outcomes to the contributing factors of the graphical models.
no code implementations • 30 Mar 2020 • Hanwen Kang, Chao Chen
In this research, a fully neural network based visual perception framework for autonomous apple harvesting is proposed.
no code implementations • 29 Dec 2019 • Hanwen Kang, Chao Chen
This paper develops a framework of visual perception and modelling for robotic harvesting of fruits in the orchard environments.
2 code implementations • 27 Dec 2019 • Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua
In particular, our proposed HoMM can perform arbitrary-order moment tensor matching, we show that the first-order HoMM is equivalent to Maximum Mean Discrepancy (MMD) and the second-order HoMM is equivalent to Correlation Alignment (CORAL).
no code implementations • 28 Nov 2019 • Hanwen Kang, Chao Chen
The robustness and efficiency of the DaSNet-V2 in detection and segmentation are validated by the experiments in the real-environment of apple orchard.
no code implementations • 25 Nov 2019 • Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris Metaxas
The spatial layout of the beams is regular, and this allows the beam features to be further fed into an efficient 2D convolutional neural network (CNN) for hierarchical feature aggregation.
no code implementations • 20 Nov 2019 • Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xian-Sheng Hua
In this paper, we propose a novel Semi-supervised Self-pace Adversarial Hashing method, named SSAH to solve the above problems in a unified framework.
no code implementations • 25 Sep 2019 • Haoran Peng, Chao Chen, Chuan-Chi Lai, Li-Chun Wang, Zhu Han
In this paper, we propose a system framework consisting of UEs clustering, UAV-BS placement, UEs trajectories prediction, and UAV-BS reposition matching scheme, to serve the UEs seamlessly as well as minimize the energy cost of UAV-BSs' reposition trajectories.
no code implementations • 25 Sep 2019 • Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris Metaxas, Chao Chen
To collect large scale annotated data, it is inevitable to introduce label noise, i. e., incorrect class labels.
no code implementations • 13 Aug 2019 • Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie
Probabilistic inferences distill knowledge from graphs to aid human make important decisions.
no code implementations • 7 Aug 2019 • Bin Guo, Huihui Chen, Yan Liu, Chao Chen, Qi Han, Zhiwen Yu
A generic model for CrowdMining is further proposed based on a set of existing studies.
no code implementations • 31 Jul 2019 • Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker
Specifically, ShapeCaptioner aggregates the parts detected in multiple colored views using our novel part class specific aggregation to represent a 3D shape, and then, employs a sequence to sequence model to generate the caption.
no code implementations • 9 Jul 2019 • Shahira Abousamra, Le Hou, Rajarsi Gupta, Chao Chen, Dimitris Samaras, Tahsin Kurc, Rebecca Batiste, Tianhao Zhao, Shroyer Kenneth, Joel Saltz
This allows for a much larger training set, that reflects visual variability across multiple cancer types and thus training of a single network which can be automatically applied to each cancer type without human adjustment.
no code implementations • 12 Jun 2019 • Sheng Chen, Xu Wang, Chao Chen, Yifan Lu, Xijin Zhang, Linfu Wen
In this paper, we pursue very efficient neural network modules which can significantly boost the learning power of deep convolutional neural networks with negligible extra computational cost.
4 code implementations • NeurIPS 2019 • Xiaoling Hu, Li Fuxin, Dimitris Samaras, Chao Chen
Segmentation algorithms are prone to make topological errors on fine-scale structures, e. g., broken connections.
no code implementations • CVPR 2019 • Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin
Current neural networks for 3D object recognition are vulnerable to 3D rotation.
no code implementations • CVPR 2020 • Zhihong Chen, Chao Chen, Zhaowei Cheng, Boyuan Jiang, Ke Fang, Xinyu Jin
However, since the domain shift between source and target domains, only using the deep features for sample selection is defective.
Ranked #6 on
Partial Domain Adaptation
on Office-31
no code implementations • 15 May 2019 • Chongyang Bai, Maksim Bolonkin, Judee Burgoon, Chao Chen, Norah Dunbar, Bharat Singh, V. S. Subrahmanian, Zhe Wu
Most work on automated deception detection (ADD) in video has two restrictions: (i) it focuses on a video of one person, and (ii) it focuses on a single act of deception in a one or two minute video.
no code implementations • 3 May 2019 • Xiong Deng, Chao Chen, Deyang Chen, Xiangbin Cai, Xiaozhe Yin, Chao Xu, Fei Sun, Caiwen Li, Yan Li, Han Xu, Mao Ye, Guo Tian, Zhen Fan, Zhipeng Hou, Minghui Qin, Yu Chen, Zhenlin Luo, Xubing Lu, Guofu Zhou, Lang Chen, Ning Wang, Ye Zhu, Xingsen Gao, Jun-Ming Liu
The limitation of commercially available single-crystal substrates and the lack of continuous strain tunability preclude the ability to take full advantage of strain engineering for further exploring novel properties and exhaustively studying fundamental physics in complex oxides.
Materials Science
no code implementations • 13 Apr 2019 • Chao Chen, Zhihang Fu, Zhihong Chen, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua
Recent advances in unsupervised domain adaptation mainly focus on learning shared representations by global distribution alignment without considering class information across domains.