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 • 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, Jie Wang, Yue Wu, Zhihang Fu, Zhihao Shi, Feng Wu, Jieping Ye
The preference alignment aims to enable large language models (LLMs) to generate responses that conform to human values, which is essential for developing general AI systems.
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, Li Chen, Kaikui Liu, Fan Yang, 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.
no code implementations • 28 Feb 2024 • Zhou Yang, Zhaochun Ren, Yufeng Wang, Chao Chen, Haizhou Sun, Xiaofei Zhu, Xiangwen Liao
Empathetic response generation is 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, 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 • 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.
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 • 22 Dec 2023 • 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.
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.
1 code implementation • 6 Dec 2023 • Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Liang Sun, Rong Jin
Moreover, we approximate the sparse regression process using a blend of a two-layer MLP and an extensive codebook.
Ranked #5 on Traffic Prediction on BJTaxi
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 • 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.
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
To address this issue, we propose TopoSemiSeg, the first semi-supervised method that learns the topological representation from unlabeled data.
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.
no code implementations • 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) +3
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) +2
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, 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.
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.
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 • 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, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie
Robust explanations of machine learning models are critical to establishing human trust in the models.
no code implementations • 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.
no code implementations • 19 Aug 2022 • Chao Chen, Xinhao Liu, Xuchu Xu, Yiming Li, Li Ding, Ruoyu Wang, Chen Feng
Inspired by noisy label learning, we propose a novel self-supervised framework named \textit{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 • 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 • 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 • 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
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).
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.
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.
no code implementations • 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.
1 code implementation • 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 +1
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.
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 • 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.
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 #29 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 #12 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 #40 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.
1 code implementation • 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.
2 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 • 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.
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.
3 code implementations • 6 Mar 2019 • Ruoxi Wang, Chao Chen, Jonghyun Lee, Eric Darve
We introduce a parallel method that provably requires $O(N)$ operations to reduce the computation cost.
Mathematical Software
1 code implementation • 9 Jan 2019 • Léopold Cambier, Chao Chen, Erik G Boman, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Eric Darve
We evaluate the algorithm on some large problems show it exhibits near-linear scaling.
Numerical Analysis
no code implementations • 11 Dec 2018 • Weikai Chen, Xiaoguang Han, Guanbin Li, Chao Chen, Jun Xing, Yajie Zhao, Hao Li
Three-dimensional object recognition has recently achieved great progress thanks to the development of effective point cloud-based learning frameworks, such as PointNet and its extensions.
no code implementations • 20 Nov 2018 • Chao Chen, Sheng Zhang, Cuibing Du
Change detection has been a challenging visual task due to the dynamic nature of real-world scenes.
no code implementations • 6 Nov 2018 • Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu
Collaborative filtering (CF) is a popular technique in today's recommender systems, and matrix approximation-based CF methods have achieved great success in both rating prediction and top-N recommendation tasks.
1 code implementation • 4 Sep 2018 • Chao Chen, Boyuan Jiang, Xinyu Jin
Unlike the existing parameter transfer approaches, which incorporate the source model information into the target by regularizing the di erence between the source and target domain parameters, an intuitively appealing projective-model is proposed to bridge the source and target model parameters.
1 code implementation • 28 Aug 2018 • Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin
Recently, considerable effort has been devoted to deep domain adaptation in computer vision and machine learning communities.
no code implementations • 27 Jun 2018 • Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang
In particular, our measurement of topological complexity incorporates the importance of topological features (e. g., connected components, handles, and so on) in a meaningful manner, and provides a direct control over spurious topological structures.
no code implementations • 23 Dec 2017 • Chao Chen, Xiao Lin, Gabriel Terejanu
In this study, we propose an approximate estimation of the weights uncertainty using Ensemble Kalman Filter, which is easily scalable to a large number of weights.
1 code implementation • NeurIPS 2017 • Dongsheng Li, Chao Chen, Wei Liu, Tun Lu, Ning Gu, Stephen Chu
However, our studies show that submatrices with different ranks could coexist in the same user-item rating matrix, so that approximations with fixed ranks cannot perfectly describe the internal structures of the rating matrix, therefore leading to inferior recommendation accuracy.
Ranked #4 on Recommendation Systems on MovieLens 10M
no code implementations • 31 Oct 2017 • Changzhe Jiao, Chao Chen, Ronald G. McGarvey, Stephanie Bohlman, Licheng Jiao, Alina Zare
The Multiple Instance Hybrid Estimator for discriminative target characterization from imprecisely labeled hyperspectral data is presented.
no code implementations • ICML 2017 • Xiuyan Ni, Novi Quadrianto, Yusu Wang, Chao Chen
Clustering data with both continuous and discrete attributes is a challenging task.
2 code implementations • 28 Dec 2016 • Chao Chen, Alina Zare, Huy Trinh, Gbeng Omotara, J. Tory Cobb, Timotius Lagaunne
Topic models (e. g., pLSA, LDA, sLDA) have been widely used for segmenting imagery.
2 code implementations • 9 Nov 2015 • Chao Chen, Alina Zare, J. Tory Cobb
Topic models (e. g., pLSA, LDA, SLDA) have been widely used for segmenting imagery.
no code implementations • NeurIPS 2014 • Chao Chen, Han Liu, Dimitris Metaxas, Tianqi Zhao
Though the mode finding problem is generally intractable in high dimensions, this paper unveils that, if the distribution can be approximated well by a tree graphical model, mode characterization is significantly easier.