Submissions from 2021
Learning from Mistakes - A Framework for Neural Architecture Search, Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, and Pengtao Xie
Scaling Up Generalized Kernel Methods, Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, and Heng Huang
Generalized Error Path Algorithm, Bin Gu and Charles X. Ling
Optimizing Large-Scale Hyperparameters Via Automated Learning Algorithm, Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, and Heng Huang
Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity, Bin Gu, Xiyuan Wei, Shangqian Gao, Ziran Xiong, and Heng Huang
Kernel Path for Ν-Support Vector Classification, Bin Gu, Ziran Xiong, Xiang Li, Zhou Zhai, and Guansheng Zheng
A Kernel Path Algorithm For General Parametric Quadratic Programming Problem, Bin Gu, Ziran Xiong, Shuyang Yu, and Guansheng Zheng
Kernel Path for nu-Support Vector Classification, Bin Gu, Ziran Xiong, Zhai Zhou, Guansheng Zheng, and Xiang Li
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning, Bin Gu, An Xu, Zhouyuan Huo, and Cheng Deng
Finding Age Path of Self-Paced Learning, Bin Gu, Zhou Zhai, Xiang Li, and Heng Huang
Text generation with efficient (Soft) Q-learning, Hanlin Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, and Zhiting Hu
Towards Visual Question Answering on Pathology Images, Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric Xing, and Pengtao Xie
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling, Zhouyuan Huo, Bin Gu, and Heng Huang
Panoramic learning with a standardized machine learning formalism, Zhiting Hu and Eric P. Xing
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions, Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, Ala Al-Fuqaha, and Mohsen Guizani
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information, Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtárik, Michael W. Mahoney, and Martin Takáč
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild, Haibo Jin, Shengcai Liao, and Ling Shao
Task-Oriented High-Order Context Graph Networks for Few-Shot Human-Object Interaction Recognition, Zhong Ji, Ping An, Xiyao Liu, Yanwei Pang, Ling Shao, and Zhongfei Zhang
NOTMAD: estimating bayesian networks with sample-specific structures and parameters, Benjamin Lengerich, Caleb Ellington, Bryon Aragam, Eric P. Xing, and Manolis Kellis
Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model, Shangsong Liang, Yupeng Luo, and Zaiqiao Meng
A Normalizing Flow-Based Co-Embedding Model for Attributed Networks, Shangsong Liang, Zhuo Ouyang, and Zaiqiao Meng
Explainable Intelligence-Driven Defense Mechanism Against Advanced Persistent Threats: A Joint Edge Game and AI Approach, Huiling Li, Jun Wu, Hansong Xu, Gaolei Li, and Mohsen Guizani
A Fully Single Loop Algorithm for Bilevel Optimization Without Hessian Inverse, Junyi Li, Bin Gu, and Heng Huang
Instance-Level Relative Saliency Ranking With Graph Reasoning, Nian Liu, Long Li, Wangbo Zhao, Junwei Han, and Ling Shao
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection, Nian Liu, Ni Zhang, Ling Shao, and Junwei Han
Nonuniform-to-uniform quantization: Towards accurate quantization via generalized straight-through estimation, Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, and Zhiqiang Shen
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition, Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, and Le Song
Transfer Reinforcement Learning Aided Distributed Network Slicing Optimization in Industrial IoT, Tainle Mai, Haipeng Yao, Ni Zhang, Wenji Ha, Dong Guo, and Mohsen Guizani
AI-based Intrusion Detection for Intelligence Internet of Vehicles, Dapeng Man, Fanyi Zeng, Jiguang Lv, Shichang Xuan, Wu Yang, and Mohsen Guizani
A Comprehensive Survey on Multimodal Medical Signals Fusion for Smart Healthcare Systems, Ghulam Muhammad, Fatima Alshehri, Fakhri Karray, Abdulmotaleb El Saddik, Mansour Alsulaiman, and Tiago H. Falk
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data, Dong Nanqing, Michael C. Kampffmeyer, Xiaodon Liang, Min Xu, Irina D. Voiculescu, and Eric Xing
Towards Federated Bayesian Network Structure Learning with Continuous Optimization, Ignavier Ng and Kun Zhang
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning, Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, and Eric P. Xing
Latent Memory-augmented Graph Transformer for Visual Storytelling, Mengshi Qi, Jie Qin, DI Huang, Zhiqiang Shen, Yi Yang, and Jiebo Luo
Cooperative multi-agent actor-critic for privacy-preserving load scheduling in a residential microgrid, Zhaoming Qin, Nanqing Dong, Eric P. Xing, and Junwei Cao
Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization, Wanli Shi and Bin Gu
Triply Stochastic Gradient Method For Large-Scale Nonlinear Similar Unlabeled Classification, Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, and Heng Huang
AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods, Zheng Shi, Abdurakhmon Sadiev, Nicolas Loizou, Peter Richtárik, and Martin Takac
Computational Catalyst Discovery: Active Classification Through Myopic Multiscale Sampling, Kevin Tran, Willie Neiswanger, Kirby Broderick, Eric Xing, Jeff Schneider, and Zachary W. Ulissi
GNN is a Counter? Revisiting GNN for Question Answering, Kuan Wang, Yuyu Zhang, Dlyi Yang, Le Song, and Tao Qin
An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm For First-Order And Zeroth-Order Optimization, Xiyuan Wei, Bin Gu, and Heng Huang
Fast And Scalable Adversarial Training Of Kernel SVM Via Doubly Stochastic Gradients, Huimin Wu, Zhengmian Hu, and Bin Gu
Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter Recommendation, Yuxin Xiao, Eric Xing, and Williec Neiswanger
Amortized auto-tuning: Cost-efficient transfer optimization for hyperparameter recommendation, Yuxin Xiao, Eric P. Xing, and Willie Neiswanger
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation, Guo-Sen Xie, Jie Liu, Huan Xiong, and Ling Shao
VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning, Guo Sen Xie, Xu Yao Zhang, Yazhou Yao, Zheng Zhang, Fang Zhao, and Ling Shao
Locality Sensitive Teaching, Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, and Anshumali Shrivastava
Knowledge-Aware Meta-Learning for Low-Resource Text Classification, Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, and Eric P. Xing
Improving Text-To-Image Synthesis Using Contrastive Learning, Hui Ye, Xiulong Yang, Martin Takáč, Raj Sunderraman, and Shihao Ji
Roma: Robust Model Adaptation for Offline Model-Based Optimization, Sihyun Yu, Sung-soo Ahn, Le Song, and Jinwoo Shin
Learning Sampling Policy for Faster Derivative Free Optimization, Zhou Zhai, Bin Gu, and Heng Huang
Towards Principled Disentanglement for Domain Generalization, Hanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, and Eric P. Xing
Variational Continual Bayesian Meta-Learning, Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, and Emine Yilmaz
A Biased Graph Neural Network Sampler with Near-Optimal Regret, Qingru Zhang, David Wipf, Quan Gan, and Le Song
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm, Qingsong Zhang, Bin Gu, Zhiyuan Dang, and Cheng Deng
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization, Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, and Heng Huang
Secure Bilevel Asynchronous Vertical Federated Learning With Backward Updating, Qingsong Zhang, Bin Gu, Cheng Deng, and Heng Huang
CausalAdv: Adversarial Robustness through the Lens of Causality, Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, and Kun Zhang
Molecular Attributes Transfer from Non-Parallel Data, Shuangjia Zheng, Ying Song, Pan Zhang, Le Song, Chengtao Li, and Yuedong Yang
Learning to Learn Variational Semantic Memory, Xiantong Zhen, Yingjun Du, Huan Xiong, Cees G.M. Snoek, and Ling Shao
On the Generation of Medical Dialogs for COVID-19, Meng Zhou, Zechen Li, Bowen Tan, Guangtao Zeng, Wenmian Yang, Xuehai He, Zeqian Ju, Subrato Chakravorty, Shu Chen, Xingyi Yang, Yichen Zhang, Qingyang Wu, Zhou Yu, Kun Xu, Eric Xing, and Pengtao Xie
Submissions from 2020
Inexact Tensor Methods and Their Application to Stochastic Convex Optimization, Artem Agafonov, Dmitry Kamzolov, Pavel Dvurechensky, Alexander Gasnikov, and Martin Takac
Learning Attentive and Hierarchical Representations for 3D Shape Recognition, Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, and Ling Shao
Deep Local Binary Coding for Person Re-Identification by Delving into the Details, Jiaxin Chen, Jie Qin, Yichao Yan, Lei Huang, Li Liu, Fan Zhu, and Ling Shao
CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers, Xingping Dong, Jianbing Shen, Ling Shao, and Fatih Porikli
Learning to Learn with Variational Information Bottleneck for Domain Generalization, Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G.M. Snoek, and Ling Shao
PraNet: Parallel Reverse Attention Network for Polyp Segmentation, Deng Ping Fan, Ge Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, and Ling Shao
BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network, Deng Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, and Ling Shao
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, Deng Ping Fan, Tao Zhou, Ge Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, and Ling Shao
A Coarse-to-Fine Facial Landmark Detection Method Based on Self-attention Mechanism, Pengcheng Gao, Ke Lu, Jian Xue, Ling Shao, and Jiayi Lyu
NLH: A Blind Pixel-Level Non-Local Method for Real-World Image Denoising, Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, and Ling Shao
Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs, Lei Huang, Jie Qin, Li Liu, Fan Zhu, and Ling Shao
MCMT-GAN: Multi-Task Coherent Modality Transferable GAN for 3D Brain Image Synthesis, Yawen Huang, Feng Zheng, Runmin Cong, Weilin Huang, Matthew R. Scott, and Ling Shao
Interpretable and Generalizable Person Re-identification with Query-Adaptive Convolution and Temporal Lifting, Shengcai Liao and Ling Shao
Box Guided Convolution for Pedestrian Detection, Jinpeng Li, Shengcai Liao, Hangzhi Jiang, and Ling Shao
Interpretable Neural Network Decoupling, Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, and Ling Shao
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance, Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean Philippe Thiran, and Ling Shao
On the Convergence of Continuous Constrained Optimization for Structure Learning, Ignavier Ng, Sébastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien, and Kun Zhang
Invertible Zero-Shot Recognition Flows, Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, and Ling Shao
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning, Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, and Eric Xing
Progressive generation of long text with pretrained language models, Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, and Zhiting Hu
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification, Yanan Wang, Shengcai Liao, and Ling Shao
Region Graph Embedding Network for Zero-Shot Learning, Guo Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, and Ling Shao
On the Number of Linear Regions of Convolutional Neural Networks, Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, and Ling Shao
STAR: A Structure and Texture Aware Retinex Model, Jun Xu, Yingkun Hou, Dongwei Ren, Li Liu, Fan Zhu, Mengyang Yu, Haoqian Wang, and Ling Shao
Pixel-level non-local image smoothing with objective evaluation, Jun Xu, Zhi Ang Liu, Ying Kun Hou, Xian Tong Zhen, Ling Shao, and Ming Ming Cheng
Video scene parsing: An overview of deep learning methods and datasets, Xiyu Yan, Huihui Gong, Yong Jiang, Shu Tao Xia, Feng Zheng, Xinge You, and Ling Shao
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-identification, Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, and Jiebo Luo
Visible-Infrared Person Re-Identification via Homogeneous Augmented Tri-Modal Learning, Mang Ye, Jianbing Shen, and Ling Shao
Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification, Fang Zhao, Shengcai Liao, Guo Sen Xie, Jian Zhao, Kaihao Zhang, and Ling Shao
Human parsing based texture transfer from single image to 3D human via cross-view consistency, Fang Zhao, Shengcai Liao, Kaihao Zhang, and Ling Shao
Learning to learn kernels with variational random features, Xiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, and Cees Snoek
M2Net : Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients, Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, and Ling Shao
K-armed Bandit based Multi-Modal Network Architecture Search for Visual Question Answering, Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Gen Luo, Xiaopeng Hong, Jinsong Su, Xinghao Ding, and Ling Shao