Haoyi Xiong

282 papers A* 39A 6B 3Misc 5Journal 189Unranked 39
YearRankTypeTitle / Venue / Authors
2026 J jnl
Alignment of Diffusion Models: Fundamentals, Challenges, and Future.
ACM Comput. Surv.
Buhua Liu, Shitong Shao, Bao Li, Lichen Bai, Zhiqiang Xu, Haoyi Xiong, James T. Kwok, Sumi Helal, Zeke Xie
2026 J jnl
CUPre: Cross-domain Unsupervised Pre-training for few-shot cell segmentation.
Inf. Fusion
Weibin Liao, Xuhong Li, Qingzhong Wang, Yanwu Xu, Zhaozheng Yin, Haoyi Xiong
2026 J jnl
FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding.
CoRR
Yuchen Li, Rui Kong, Zhonghao Lyu, Qiyang Li, Xinran Chen, Hengyi Cai, Lingyong Yan, Shuaiqiang Wang, Jiashu Zhao, Guangxu Zhu, Linghe Kong, Guihai Chen, Haoyi Xiong, Dawei Yin
2026 — conf
HyFunc: Accelerating LLM-based Function Calls for Agentic AI through Hybrid-Model Cascade and Dynamic Templating.
KDD (1)
Weibin Liao, Jian-Guang Lou, Haoyi Xiong
2026 J jnl
HyFunc: Accelerating LLM-based Function Calls for Agentic AI through Hybrid-Model Cascade and Dynamic Templating.
CoRR
Weibin Liao, Jian-Guang Lou, Haoyi Xiong
2026 A* conf
Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search.
WWW
Yuchen Li, Rui Kong, Xinran Chen, Chengzhe Zhang, Jiamin Chen, Cheng Deng, Xinyu Ma, Haojie Zhang, Tianhao Peng, Hengyi Cai, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Jimmy Xiangji Huang, Lei Chen, Jun Wang, Dawei Yin
2026 J jnl
Reflective Flow Sampling Enhancement.
CoRR
Zikai Zhou, Muyao Wang, Shitong Shao, Lichen Bai, Haoyi Xiong, Bo Han, Zeke Xie
2026 — conf
Retain to Refine: Adaptive Online Question Answering via Query Routing and Long-Short Memory.
KDD (1)
Yuchen Li, Jiamin Chen, Xinran Chen, Zhiyu Li, Haojie Zhang, Rui Kong, Jiayi Li, Xinyu Ma, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Linghe Kong, Lei Chen, Dawei Yin
2026 J jnl
S$^{3}$PRank: Toward Satisfaction-Oriented Learning to Rank With Semi-Supervised Pre-Training.
IEEE Trans. Knowl. Data Eng.
Yuchen Li, Zhonghao Lyu, Yongqi Zhang, Hao Zhang, Tianhao Peng, Haoyi Xiong, Shuaiqiang Wang, Linghe Kong, Guihai Chen, Dawei Yin
2026 J jnl
SageCopilot: An LLM-Empowered Autonomous Agent for Data Science as a Service.
IEEE Trans. Serv. Comput.
Yuan Liao, Jiang Bian, Yuhui Yun, Shuo Wang, Yubo Zhang, Jiaming Chu, Tao Wang, Yuchen Li, Xuhong Li, Shilei Ji, Haoyi Xiong
2025 J jnl
A Benchmark for Vision-Centric HD Mapping by V2I Systems.
CoRR
Miao Fan, Shanshan Yu, Shengtong Xu, Kun Jiang, Haoyi Xiong, Xiangzeng Liu
2025 J jnl
A Concise Survey on Lane Topology Reasoning for HD Mapping.
CoRR
Yi Yao, Miao Fan, Shengtong Xu, Haoyi Xiong, Xiangzeng Liu, Wenbo Hu, Wenbing Huang
2025 J jnl
ALPS: An Auto-Labeling and Pre-Training Scheme for Remote Sensing Segmentation With Segment Anything Model.
IEEE Trans. Image Process.
Song Zhang, Qingzhong Wang, Junyi Liu, Haoyi Xiong
2025 J jnl
CSCC: Cross-Scene Crowd Counting via Learning to Diversify for Domain Generalization.
IEEE Trans. Multim.
Yuehai Chen, Qingzhong Wang, Jing Yang, Badong Chen, Haoyi Xiong, Shaoyi Du
2025 B conf
EICopilot: Search and Explore Enterprise Information Over Large-Scale Knowledge Graphs with LLM-Driven Agents.
IEEE Big Data
Yuhui Yun, Huilong Ye, Jingfeng Deng, Ruojia Li, Xinru Li, Li Li, Haoyi Xiong
2025 J jnl
EICopilot: Search and Explore Enterprise Information over Large-scale Knowledge Graphs with LLM-driven Agents.
CoRR
Yuhui Yun, Huilong Ye, Xinru Li, Ruojia Li, Jingfeng Deng, Li Li, Haoyi Xiong
2025 — conf
End-to-End Generation of City-Scale Vectorized Maps by Crowdsourced Vehicles.
ITSC
Zebang Feng, Miao Fan, Bao Liu, Shengtong Xu, Haoyi Xiong
2025 J jnl
End-to-End Generation of City-Scale Vectorized Maps by Crowdsourced Vehicles.
CoRR
Zebang Feng, Miao Fan, Bao Liu, Shengtong Xu, Haoyi Xiong
2025 J jnl
Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey.
CoRR
Shengyue Guan, Haoyi Xiong, Jindong Wang, Jiang Bian, Bin Zhu, Jian-Guang Lou
2025 — conf
FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking.
KDD (2)
Yuchen Li, Hao Zhang, Haojie Zhang, Hengyi Cai, Xinyu Ma, Shuaiqiang Wang, Haoyi Xiong, Zhaochun Ren, Maarten de Rijke, Dawei Yin
2025 A* conf
Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models.
EMNLP
Zihao Li, Xu Wang, Yuzhe Yang, Ziyu Yao, Haoyi Xiong, Mengnan Du
2025 J jnl
Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models.
CoRR
Zihao Li, Xu Wang, Yuzhe Yang, Ziyu Yao, Haoyi Xiong, Mengnan Du
2025 A* conf
IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis.
ICLR
Shitong Shao, Zikai Zhou, Bai Lichen, Haoyi Xiong, Zeke Xie
2025 J jnl
Interpretable Feature Interaction via Statistical Self-supervised Learning on Tabular Data.
CoRR
Xiaochen Zhang, Haoyi Xiong
2025 J jnl
Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery.
CoRR
Xiaochen Zhang, Haoyi Xiong
2025 J jnl
Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection.
CoRR
Xiaochen Zhang, Yunfeng Cai, Haoyi Xiong
2025 J jnl
Knoop: practical enhancement of knockoff with over-parameterization for variable selection.
Mach. Learn.
Xiaochen Zhang, Yunfeng Cai, Haoyi Xiong
2025 A conf
Learning to Generate Vectorized Maps at Intersections with Multiple Roadside Cameras.
IROS
Quanxin Zheng, Miao Fan, Shengtong Xu, Linghe Kong, Haoyi Xiong
2025 J jnl
Learning to Generate Vectorized Maps at Intersections with Multiple Roadside Cameras.
CoRR
Quanxin Zheng, Miao Fan, Shengtong Xu, Linghe Kong, Haoyi Xiong
2025 J jnl
Look Twice and Closer: A Coarse-to-Fine Segmentation Network for Small Objects in Remote Sensing Images.
IEEE Signal Process. Lett.
Silin Chen, Qingzhong Wang, Kangjian Di, Haoyi Xiong, Ningmu Zou
2025 A* conf
M
ICDE
Yuchen Li, Hao Zhang, Yongqi Zhang, Xinyu Ma, Wenwen Ye, Naifei Song, Shuaiqiang Wang, Haoyi Xiong, Dawei Yin, Lei Chen
2025 — conf
Multi-Agent Proactive Information Seeking with Adaptive LLM Orchestration for Non-Factoid Question Answering.
KDD (2)
Xinran Chen, Yuchen Li, Hengyi Cai, Zhuoran Ma, Xuanang Chen, Haoyi Xiong, Shuaiqiang Wang, Ben He, Le Sun, Dawei Yin
2025 — conf
Multimodal HD Mapping for Intersections by Intelligent Roadside Units.
ITSC
Zhongzhang Chen, Miao Fan, Shengtong Xu, Mengmeng Yang, Kun Jiang, Xiangzeng Liu, Haoyi Xiong
2025 J jnl
Multimodal HD Mapping for Intersections by Intelligent Roadside Units.
CoRR
Zhongzhang Chen, Miao Fan, Shengtong Xu, Mengmeng Yang, Kun Jiang, Xiangzeng Liu, Haoyi Xiong
2025 — conf
RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search.
KDD (1)
Yuchen Li, Haoyi Xiong, Yongqi Zhang, Jiang Bian, Tianhao Peng, Xuhong Li, Shuaiqiang Wang, Linghe Kong, Dawei Yin
2025 — conf
RankExpert: A Mixture of Textual-and-Behavioral Experts for Multi-Objective Learning-to-Rank in Web Search.
KDD (2)
Yuchen Li, Hao Zhang, Yongqi Zhang, Hengyi Cai, Mingxin Cai, Shuaiqiang Wang, Haoyi Xiong, Linghe Kong, Dawei Yin, Lei Chen
2025 A* conf
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning.
AAAI
Tianhao Peng, Xuhong Li, Haitao Yuan, Yuchen Li, Haoyi Xiong
2025 J jnl
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning.
CoRR
Tianhao Peng, Xuhong Li, Haitao Yuan, Yuchen Li, Haoyi Xiong
2025 J jnl
Semantic SLAM with Rolling-Shutter Cameras and Low-Precision INS in Outdoor Environments.
CoRR
Yuchen Zhang, Miao Fan, Shengtong Xu, Xiangzeng Liu, Haoyi Xiong
2025 — conf
Stronger Separability, Stronger Defense: Influence-Based Backdoor Detection.
PAKDD (1)
Buhua Liu, Shuo Yang, Zhiqiang Xu, Haoyi Xiong, Yiu-ming Cheung, Zeke Xie
2025 J jnl
Towards AI Search Paradigm.
CoRR
Yuchen Li, Hengyi Cai, Rui Kong, Xinran Chen, Jiamin Chen, Jun Yang, Haojie Zhang, Jiayi Li, Jiayi Wu, Yiqun Chen, Changle Qu, Keyi Kong, Wenwen Ye, Lixin Su, Xinyu Ma, Long Xia, Daiting Shi, Jiashu Zhao, Haoyi Xiong, Shuaiqiang Wang, Dawei Yin
2025 — conf
Traffic Signal Phase and Timing Estimation with Large-Scale Floating Car Data.
ITSC
Mingcheng Liao, Zebang Feng, Miao Fan, Shengtong Xu, Haoyi Xiong
2025 J jnl
Traffic Signal Phase and Timing Estimation with Large-Scale Floating Car Data.
CoRR
Mingcheng Liao, Zebang Feng, Miao Fan, Shengtong Xu, Haoyi Xiong
2025 J jnl
Video-based Traffic Light Recognition by Rockchip RV1126 for Autonomous Driving.
CoRR
Miao Fan, Xuxu Kong, Shengtong Xu, Haoyi Xiong, Xiangzeng Liu
2025 A* conf
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection.
ICLR
Lichen Bai, Shitong Shao, Zikai Zhou, Zipeng Qi, Zhiqiang Xu, Haoyi Xiong, Zeke Xie
2024 A conf
A Multi-Node Multi-GPU Distributed GNN Training Framework for Large-Scale Online Advertising.
CIKM
Xuewu Jiao, Xinsheng Luo, Miao Li, Jiang Bian, Junchao Yang, Wei Hu, Mingqing Hu, Weipeng Lu, Shikun Feng, Danlei Feng, Dongxu Yang, Haoyi Xiong, Shuanglong Li, Lin Liu
2024 J jnl
A Simple and Efficient Baseline for Zero-Shot Generative Classification.
CoRR
Zipeng Qi, Buhua Liu, Shiyan Zhang, Bao Li, Zhiqiang Xu, Haoyi Xiong, Zeke Xie
2024 J jnl
A Simple yet Effective Framework for Active Learning to Rank.
Mach. Intell. Res.
Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin
2024 J jnl
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model.
CoRR
Song Zhang, Qingzhong Wang, Junyi Liu, Haoyi Xiong
2024 J jnl
Alignment of Diffusion Models: Fundamentals, Challenges, and Future.
CoRR
Buhua Liu, Shitong Shao, Bao Li, Lichen Bai, Zhiqiang Xu, Haoyi Xiong, James Kwok, Sumi Helal, Zeke Xie
2024 J jnl
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents.
CoRR
Haoyi Xiong, Zhiyuan Wang, Xuhong Li, Jiang Bian, Zeke Xie, Shahid Mumtaz, Laura E. Barnes
2024 J jnl
Correction to: AA-forecast: anomaly-aware forecast for extreme events.
Data Min. Knowl. Discov.
Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo
2024 J jnl
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training.
CoRR
Jiamin Chen, Xuhong Li, Yanwu Xu, Mengnan Du, Haoyi Xiong
2024 A* conf
G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint).
AAAI
Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
2024 J jnl
GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network.
IEEE Trans. Knowl. Data Eng.
Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong
2024 J jnl
GS
Mach. Learn.
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2024 A* conf
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract).
IJCAI
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2024 J jnl
Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract).
CoRR
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2024 A* conf
Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries.
IJCAI
Jingyang Deng, Xingjian Li, Haoyi Xiong, Xiaoguang Hu, Jinwen Ma
2024 A* conf
GiLOT: Interpreting Generative Language Models via Optimal Transport.
ICML
Xuhong Li, Jiamin Chen, Yekun Chai, Haoyi Xiong
2024 J jnl
IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis.
CoRR
Shitong Shao, Zikai Zhou, Lichen Bai, Haoyi Xiong, Zeke Xie
2024 J jnl
Interpretable Machine Learning for Weather and Climate Prediction: A Survey.
CoRR
Ruyi Yang, Jingyu Hu, Zihao Li, Jianli Mu, Tingzhao Yu, Jiangjiang Xia, Xuhong Li, Aritra Dasgupta, Haoyi Xiong
2024 J jnl
Learning Discriminative Features for Crowd Counting.
IEEE Trans. Image Process.
Yuehai Chen, Qingzhong Wang, Jing Yang, Badong Chen, Haoyi Xiong, Shaoyi Du
2024 A* conf
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract).
IJCAI
Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin
2024 J jnl
MTPret: Improving X-Ray Image Analytics With Multitask Pretraining.
IEEE Trans. Artif. Intell.
Weibin Liao, Qingzhong Wang, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou, Yanwu Xu, Haoyi Xiong
2024 J jnl
MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services.
IEEE Trans. Serv. Comput.
Dianhai Yu, Liang Shen, Hongxiang Hao, Weibao Gong, HuaChao Wu, Jiang Bian, Lirong Dai, Haoyi Xiong
2024 J jnl
Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning.
Nat. Mac. Intell.
Ning Wang, Jiang Bian, Yuchen Li, Xuhong Li, Shahid Mumtaz, Linghe Kong, Haoyi Xiong
2024 J jnl
Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization.
CoRR
Zipeng Qi, Lichen Bai, Haoyi Xiong, Zeke Xie
2024 J jnl
P
ACM Trans. Multim. Comput. Commun. Appl.
Jiang Bian, Xuhong Li, Tao Wang, Qingzhong Wang, Jun Huang, Chen Liu, Jun Zhao, Feixiang Lu, Dejing Dou, Haoyi Xiong
2024 J jnl
Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract).
CoRR
Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin
2024 J jnl
Pre-trained Molecular Language Models with Random Functional Group Masking.
CoRR
Tianhao Peng, Yuchen Li, Xuhong Li, Jiang Bian, Zeke Xie, Ning Sui, Shahid Mumtaz, Yanwu Xu, Linghe Kong, Haoyi Xiong
2024 J jnl
Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer.
Mach. Learn. Sci. Technol.
Haoyi Xiong, Xuhong Li, Boyang Yu, Dongrui Wu, Zhanxing Zhu, Dejing Dou
2024 J jnl
Temporal Output Discrepancy for Loss Estimation-Based Active Learning.
IEEE Trans. Neural Networks Learn. Syst.
Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou
2024 J jnl
Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned.
CoRR
Yuan Liao, Jiang Bian, Yuhui Yun, Shuo Wang, Yubo Zhang, Jiaming Chu, Tao Wang, Kewei Li, Yuchen Li, Xuhong Li, Shilei Ji, Haoyi Xiong
2024 J jnl
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective.
CoRR
Haoyi Xiong, Xuhong Li, Xiaofei Zhang, Jiamin Chen, Xinhao Sun, Yuchen Li, Zeyi Sun, Mengnan Du
2024 J jnl
Towards accurate knowledge transfer via target-awareness representation disentanglement.
Mach. Learn.
Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou
2024 J jnl
When Search Engine Services Meet Large Language Models: Visions and Challenges.
IEEE Trans. Serv. Comput.
Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal
2024 J jnl
When Search Engine Services meet Large Language Models: Visions and Challenges.
CoRR
Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal
2024 J jnl
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection.
CoRR
Lichen Bai, Shitong Shao, Zikai Zhou, Zipeng Qi, Zhiqiang Xu, Haoyi Xiong, Zeke Xie
2023 J jnl
$\mathcal {AFCS}:$AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing.
IEEE Trans. Mob. Comput.
Jiang Bian, Haoyi Xiong, Zhiyuan Wang, Jingbo Zhou, Shilei Ji, Hongyang Chen, Daqing Zhang, Dejing Dou
2023 J jnl
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications.
IEEE Trans. Multim.
Fei Wu, Qingzhong Wang, Jiang Bian, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou, Haoyi Xiong
2023 J jnl
AA-forecast: anomaly-aware forecast for extreme events.
Data Min. Knowl. Discov.
Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo
2023 J jnl
Beyond Intuition: Rethinking Token Attributions inside Transformers.
Trans. Mach. Learn. Res.
Jiamin Chen, Xuhong Li, Lei Yu, Dejing Dou, Haoyi Xiong
2023 J jnl
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.
IEEE Trans. Knowl. Data Eng.
Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin
2023 J jnl
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation.
CoRR
Weibin Liao, Xuhong Li, Qingzhong Wang, Yanwu Xu, Zhaozheng Yin, Haoyi Xiong
2023 A* conf
ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples.
ICDM
Xuhong Li, Xuanyu Wu, Linghe Kong, Xiao Zhang, Siyu Huang, Dejing Dou, Haoyi Xiong
2023 — conf
Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization.
MIUA
Ziqi Wen, Qingzhong Wang, Jiang Bian, Xuhong Li, Yi Liu, Haoyi Xiong
2023 J jnl
Cross-model consensus of explanations and beyond for image classification models: an empirical study.
Mach. Learn.
Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou
2023 J jnl
CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity.
BMC Bioinform.
Jianqiu Wu, Hongyang Chen, Minhao Cheng, Haoyi Xiong
2023 J jnl
Data Placement for Multi-Tenant Data Federation on the Cloud.
IEEE Trans. Cloud Comput.
Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou
2023 J jnl
Detecting spatiotemporal propagation patterns of traffic congestion from fine-grained vehicle trajectory data.
Int. J. Geogr. Inf. Sci.
Haoyi Xiong, Xun Zhou, David A. Bennett
2023 J jnl
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models.
Mach. Learn.
Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou
2023 J jnl
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability.
CoRR
Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejing Dou
2023 J jnl
Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation.
IEEE Trans. Serv. Comput.
Jiang Bian, Jizhou Huang, Shilei Ji, Yuan Liao, Xuhong Li, Qingzhong Wang, Jingbo Zhou, Dejing Dou, Yaqing Wang, Haoyi Xiong
2023 J jnl
G-LIME: Statistical learning for local interpretations of deep neural networks using global priors.
Artif. Intell.
Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
2023 J jnl
GLARE: A Dataset for Traffic Sign Detection in Sun Glare.
IEEE Trans. Intell. Transp. Syst.
Nicholas Gray, Megan Moraes, Jiang Bian, Alex Wang, Allen Tian, Kurt M. Wilson, Yan Huang, Haoyi Xiong, Zhishan Guo
2023 B conf
GS
DSAA
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2023 A* conf
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features.
AAAI
Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou
2023 — conf
LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search.
ECML/PKDD (6)
Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin
2023 A* conf
M
NeurIPS
Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong
2023 J jnl
MHRR: MOOCs Recommender Service With Meta Hierarchical Reinforced Ranking.
IEEE Trans. Serv. Comput.
Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Fanqin Xu, Guihai Chen, Minglu Li
2023 A* conf
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale.
ICDM
Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin
2023 J jnl
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts.
CoRR
Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou
2023 — conf
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model.
MIDL
Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yehui Yang, Haoyi Xiong, Huiying Liu, Yanwu Xu
2023 J jnl
Natural Language based Context Modeling and Reasoning with LLMs: A Tutorial.
CoRR
Haoyi Xiong, Jiang Bian, Sijia Yang, Xiaofei Zhang, Linghe Kong, Daqing Zhang
2023 J jnl
Outlier-Concerned Data Completion Exploiting Intra- and Inter-Data Correlations in Sparse CrowdSensing.
IEEE/ACM Trans. Netw.
En Wang, Mijia Zhang, Wenbin Liu, Haoyi Xiong, Bo Yang, Yongjian Yang, Jie Wu
2023 — conf
Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs.
ECML/PKDD (5)
Zeren Zhang, Xingjian Li, Tao Hong, Tianyang Wang, Jinwen Ma, Haoyi Xiong, Cheng-Zhong Xu
2023 A* conf
PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation.
KDD
Xuewu Jiao, Weibin Li, Xinxuan Wu, Wei Hu, Miao Li, Jiang Bian, Siming Dai, Xinsheng Luo, Mingqing Hu, Zhengjie Huang, Danlei Feng, Junchao Yang, Shikun Feng, Haoyi Xiong, Dianhai Yu, Shuanglong Li, Jingzhou He, Yanjun Ma, Lin Liu
2023 J jnl
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios.
Trans. Mach. Learn. Res.
Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan
2023 — conf
Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification.
ClinicalNLP@ACL
Jiamin Chen, Xuhong Li, Junting Xi, Lei Yu, Haoyi Xiong
2023 J jnl
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos.
CoRR
Wenke Xia, Xingjian Li, Andong Deng, Haoyi Xiong, Dejing Dou, Di Hu
2023 A* conf
S
KDD
Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2023 J jnl
SMILE: Sample-to-feature Mixup for Efficient Transfer Learning.
Trans. Mach. Learn. Res.
Xingjian Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou
2023 J jnl
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network.
IEEE Trans. Knowl. Data Eng.
Jindong Han, Hao Liu, Haoyi Xiong, Jing Yang
2023 J jnl
Semi-supervised transfer learning with hierarchical self-regularization.
Pattern Recognit.
Xingjian Li, Abulikemu Abuduweili, Humphrey Shi, Pengkun Yang, Dejing Dou, Haoyi Xiong, Chengzhong Xu
2023 J jnl
TiC: Exploring Vision Transformer in Convolution.
CoRR
Song Zhang, Qingzhong Wang, Jiang Bian, Haoyi Xiong
2023 A* conf
Towards Inadequately Pre-trained Models in Transfer Learning.
ICCV
Andong Deng, Xingjian Li, Di Hu, Tianyang Wang, Haoyi Xiong, Cheng-Zhong Xu
2023 A* conf
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution.
ICDE
Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou
2023 J jnl
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution.
CoRR
Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou
2023 — conf
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-Based Video Classification Frameworks.
ISBI
Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong
2023 J jnl
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks.
CoRR
Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong
2022 J jnl
A Comparative Survey of Deep Active Learning.
CoRR
Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan
2022 J jnl
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications.
CoRR
Fei Wu, Qingzhong Wang, Jiang Bian, Haoyi Xiong, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou
2022 J jnl
AA-Forecast: Anomaly-Aware Forecast for Extreme Events.
CoRR
Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo
2022 A* conf
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators.
AAAI
Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang
2022 J jnl
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization.
Neural Process. Lett.
Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou
2022 J jnl
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle.
CoRR
Junde Wu, Huihui Fang, Haoyi Xiong, Lixin Duan, Mingkui Tan, Weihua Yang, Huiying Liu, Yanwu Xu
2022 J jnl
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models.
CoRR
Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou
2022 J jnl
Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints.
IEEE Trans. Emerg. Top. Comput. Intell.
Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, Sajal K. Das
2022 J jnl
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning.
Trans. Mach. Learn. Res.
Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Jie Fu, Yang Cao, Yu Kang, Haifeng Wang
2022 J jnl
ExpNet: A unified network for Expert-Level Classification.
CoRR
Junde Wu, Huihui Fang, Yehui Yang, Yu Zhang, Haoyi Xiong, Huazhu Fu, Yanwu Xu
2022 J jnl
Exploring the common principal subspace of deep features in neural networks.
Mach. Learn.
Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dejing Dou, Dongrui Wu
2022 J jnl
Face.evoLVe: A cross-platform library for high-performance face analytics.
Neurocomputing
Qingzhong Wang, Pengfei Zhang, Haoyi Xiong, Jian Zhao
2022 J jnl
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques.
IEEE Internet Things J.
Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Daqing Zhang, Laura E. Barnes, Dejing Dou
2022 J jnl
From distributed machine learning to federated learning: a survey.
Knowl. Inf. Syst.
Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
2022 J jnl
GLARE: A Dataset for Traffic Sign Detection in Sun Glare.
CoRR
Nicholas Gray, Megan Moraes, Jiang Bian, Allen Tian, Alex Wang, Haoyi Xiong, Zhishan Guo
2022 J jnl
GrOD: Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training.
ACM Trans. Knowl. Discov. Data
Haoyi Xiong, Ruosi Wan, Jian Zhao, Zeyu Chen, Xingjian Li, Zhanxing Zhu, Jun Huan
2022 J jnl
HandGest: Hierarchical Sensing for Robust-in-the-Air Handwriting Recognition With Commodity WiFi Devices.
IEEE Internet Things J.
Jie Zhang, Yang Li, Haoyi Xiong, Dejing Dou, Chunyan Miao, Daqing Zhang
2022 J jnl
InterpretDL: Explaining Deep Models in PaddlePaddle.
J. Mach. Learn. Res.
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou
2022 J jnl
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond.
Knowl. Inf. Syst.
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
2022 J jnl
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks.
ACM Trans. Knowl. Discov. Data
Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou
2022 J jnl
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features.
CoRR
Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou
2022 — conf
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts.
MICCAI (8)
Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou
2022 J jnl
Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey.
IEEE Internet Things J.
Jiang Bian, Abdullah Al Arafat, Haoyi Xiong, Jing Li, Li Li, Hongyang Chen, Jun Wang, Dejing Dou, Zhishan Guo
2022 — conf
Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs.
ECML/PKDD (6)
Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Dejing Dou, Guihai Chen
2022 J jnl
OGM: Online gaussian graphical models on the fly.
Appl. Intell.
Sijia Yang, Haoyi Xiong, Yunchao Zhang, Yi Ling, Licheng Wang, Kaibo Xu, Zeyi Sun
2022 J jnl
P
CoRR
Jiang Bian, Qingzhong Wang, Haoyi Xiong, Jun Huang, Chen Liu, Xuhong Li, Jun Cheng, Jun Zhao, Feixiang Lu, Dejing Dou
2022 — conf
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset.
WACV (Workshops)
Lutao Chu, Yi Liu, Zewu Wu, Shiyu Tang, Guowei Chen, Yuying Hao, Juncai Peng, Zhiliang Yu, Zeyu Chen, Baohua Lai, Haoyi Xiong
2022 Misc conf
Parameter-Free Style Projection for Arbitrary Image Style Transfer.
ICASSP
Siyu Huang, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou
2022 J jnl
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios.
CoRR
Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan
2022 J jnl
Practical Strategies of Active Learning to Rank for Web Search.
CoRR
Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Jingbo Zhou, Dawei Yin, Dejing Dou
2022 J jnl
RAIS: Robust and Accurate Interactive Segmentation via Continual Learning.
CoRR
Yuying Hao, Yi Liu, Juncai Peng, Haoyi Xiong, Guowei Chen, Shiyu Tang, Zeyu Chen, Baohua Lai
2022 — conf
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning.
NAACL-HLT (Findings)
Yaqing Wang, Xin Tian, Haoyi Xiong, Yueyang Li, Zeyu Chen, Sheng Guo, Dejing Dou
2022 J jnl
SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System.
CoRR
Liang Shen, Zhihua Wu, Weibao Gong, Hongxiang Hao, Yangfan Bai, HuaChao Wu, Xinxuan Wu, Haoyi Xiong, Dianhai Yu, Yanjun Ma
2022 A* conf
Spatiotemporal Fracture Data Inference in Sparse Urban CrowdSensing.
INFOCOM
En Wang, Mijia Zhang, Yuanbo Xu, Haoyi Xiong, Yongjian Yang
2022 J jnl
Temporal Output Discrepancy for Loss Estimation-based Active Learning.
CoRR
Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou
2021 J jnl
"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation.
ACM Trans. Intell. Syst. Technol.
Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Cheng-Zhong Xu, Dejing Dou
2021 J jnl
AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow.
CoRR
Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou
2021 J jnl
AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow.
Mach. Learn.
Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou
2021 — conf
An Investigation of Containment Measure Implementation and Public Responses to the COVID-19 Pandemic in Mainland China.
ICDH
Ji Liu, Haoyi Xiong, Xiakai Wang, Jizhou Huang, Qiaojun Li, Tongtong Huang, Siyu Huang, Haifeng Wang, Dejing Dou
2021 J jnl
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators.
CoRR
Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang
2021 A* conf
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak.
AAAI
Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou
2021 A conf
CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge.
CIKM
Chao Zhang, Jingbo Zhou, Xiaoling Zang, Qing Xu, Liang Yin, Xiang He, Lin Liu, Haoyi Xiong, Dejing Dou
2021 J jnl
COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut.
IEEE Trans. Multim.
Baoxin Zhao, Haoyi Xiong, Jiang Bian, Zhishan Guo, Cheng-Zhong Xu, Dejing Dou
2021 J jnl
CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data.
IEEE Trans. Emerg. Top. Comput. Intell.
Jiang Bian, Sijia Yang, Haoyi Xiong, Licheng Wang, Yanjie Fu, Zeyi Sun, Zhishan Guo, Jun Wang
2021 J jnl
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study.
CoRR
Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou
2021 J jnl
Data Placement for Multi-Tenant Data Federation on the Cloud.
CoRR
Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou
2021 J jnl
Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Task Generalization.
CoRR
Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Yang Cao, Yu Kang, Haifeng Wang
2021 J jnl
Exploring the Common Principal Subspace of Deep Features in Neural Networks.
CoRR
Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou
2021 J jnl
Face.evoLVe: A High-Performance Face Recognition Library.
CoRR
Qingzhong Wang, Pengfei Zhang, Haoyi Xiong, Jian Zhao
2021 J jnl
From Distributed Machine Learning to Federated Learning: A Survey.
CoRR
Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
2021 J jnl
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques.
CoRR
Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Laura E. Barnes, Daqing Zhang
2021 J jnl
Generalising combinatorial discriminant analysis through conditioning truncated Rayleigh flow.
Knowl. Inf. Syst.
Sijia Yang, Haoyi Xiong, Di Hu, Kaibo Xu, Licheng Wang, Peizhen Zhu, Zeyi Sun
2021 J jnl
Idle Duration Prediction for Manufacturing System Using a Gaussian Mixture Model Integrated Neural Network for Energy Efficiency Improvement.
IEEE Trans Autom. Sci. Eng.
Yunchao Zhang, Zeyi Sun, Ruwen Qin, Haoyi Xiong
2021 J jnl
Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases.
Appl. Intell.
Sijia Yang, Haoyi Xiong, Kaibo Xu, Licheng Wang, Jiang Bian, Zeyi Sun
2021 J jnl
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond.
CoRR
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
2021 A* conf
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu.
KDD
Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong
2021 J jnl
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu.
CoRR
Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong
2021 J jnl
MODES: model-based optimization on distributed embedded systems.
Mach. Learn.
Junjie Shi, Jiang Bian, Jakob Richter, Kuan-Hsun Chen, Jörg Rahnenführer, Haoyi Xiong, Jian-Jia Chen
2021 J jnl
Optimization Variance: Exploring Generalization Properties of DNNs.
CoRR
Xiao Zhang, Dongrui Wu, Haoyi Xiong, Bo Dai
2021 J jnl
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset.
CoRR
Lutao Chu, Yi Liu, Zewu Wu, Shiyu Tang, Guowei Chen, Yuying Hao, Juncai Peng, Zhiliang Yu, Zeyu Chen, Baohua Lai, Haoyi Xiong
2021 J jnl
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples.
CoRR
Xuanyu Wu, Xuhong Li, Haoyi Xiong, Xiao Zhang, Siyu Huang, Dejing Dou
2021 A* conf
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs.
IJCAI
Xiao Zhang, Haoyi Xiong, Dongrui Wu
2021 J jnl
Robust Matrix Factorization with Grouping Effect.
CoRR
Haiyan Jiang, Shuyu Li, Luwei Zhang, Haoyi Xiong, Dejing Dou
2021 J jnl
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning.
CoRR
Xingjian Li, Haoyi Xiong, Chengzhong Xu, Dejing Dou
2021 J jnl
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics.
ACM Trans. Knowl. Discov. Data
Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan, Dejing Dou
2021 A* conf
Semi-Supervised Active Learning with Temporal Output Discrepancy.
ICCV
Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou
2021 J jnl
Semi-Supervised Active Learning with Temporal Output Discrepancy.
CoRR
Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou
2021 J jnl
SenseMag: Enabling Low-Cost Traffic Monitoring Using Noninvasive Magnetic Sensing.
IEEE Internet Things J.
Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu
2021 J jnl
SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing.
CoRR
Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu
2021 A* conf
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity.
KDD
Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong
2021 J jnl
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity.
CoRR
Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong
2020 J jnl
Adaptive singularity-free controller design of constrained nonlinear systems with prescribed performance.
Neurocomputing
Yongliang Yang, Zhijie Liu, Haoyi Xiong, Yixin Yin
2020 — conf
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China.
IEEE BigData
Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang
2020 J jnl
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China.
CoRR
Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang
2020 J jnl
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak.
CoRR
Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou
2020 J jnl
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization.
CoRR
Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu
2020 J jnl
Curriculum Audiovisual Learning.
CoRR
Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou
2020 J jnl
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction.
CoRR
Jingbo Zhou, Shuangli Li, Liang Huang, Haoyi Xiong, Fan Wang, Tong Xu, Hui Xiong, Dejing Dou
2020 A* conf
Generating Person Images with Appearance-aware Pose Stylizer.
IJCAI
Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou
2020 J jnl
Generating Person Images with Appearance-aware Pose Stylizer.
CoRR
Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou
2020 J jnl
MP
ACM Trans. Knowl. Discov. Data
Jiang Bian, Haoyi Xiong, Yanjie Fu, Jun Huan, Zhishan Guo
2020 A conf
Neighbours Matter: Image Captioning with Similar Images.
BMVC
Qingzhong Wang, Jiuniu Wang, Antoni B. Chan, Siyu Huang, Haoyi Xiong, Xingjian Li, Dejing Dou
2020 A* conf
On the Noisy Gradient Descent that Generalizes as SGD.
ICML
Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Vladimir Braverman, Zhanxing Zhu
2020 J jnl
Online barrier-actor-critic learning for
J. Frankl. Inst.
Yongliang Yang, Dawei Ding, Haoyi Xiong, Yixin Yin, Donald C. Wunsch
2020 J jnl
Parameter-Free Style Projection for Arbitrary Style Transfer.
CoRR
Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou
2020 — conf
Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities.
ICACI
Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, Sajal K. Das
2020 — conf
Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud.
IEEE BigData
Qi Kang, Ji Liu, Sijia Yang, Haoyi Xiong, Haozhe An, Xingjian Li, Zhi Feng, Licheng Wang, Dejing Dou
2020 A* conf
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr.
ICML
Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou
2020 J jnl
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr.
CoRR
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou
2020 J jnl
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement.
CoRR
Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou
2020 A* conf
Ultrafast Photorealistic Style Transfer via Neural Architecture Search.
AAAI
Jie An, Haoyi Xiong, Jun Huan, Jiebo Luo
2020 J jnl
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup.
CoRR
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou
2019 J jnl
$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing.
IEEE Trans. Neural Networks Learn. Syst.
Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, Zeyi Sun, Zhishan Guo
2019 — conf
A Deep Learning based Illegal Parking Detection Platform.
GeoAI@SIGSPATIAL
Zhengcong Yin, Haoyi Xiong, Xun Zhou, Daniel W. Goldberg, David A. Bennett, Chong Zhang
2019 — conf
Assessing Mental Stress Based on Smartphone Sensing Data: An Empirical Study.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Feng Wang, Yasha Wang, Jiangtao Wang, Haoyi Xiong, Junfeng Zhao, Daqing Zhang
2019 J jnl
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks.
CoRR
Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan
2019 J jnl
Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-Policy Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yongliang Yang, Zhishan Guo, Haoyi Xiong, Da-Wei Ding, Yixin Yin, Donald C. Wunsch
2019 — conf
Delta: Deep Learning Transfer using Feature Map with Attention for Convolutional Networks.
ICLR (Poster)
Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan
2019 J jnl
EdgeSense: Edge-Mediated Spatial- Temporal Crowdsensing.
IEEE Access
Sijia Yang, Jiang Bian, Licheng Wang, Haojin Zhu, Yanjie Fu, Haoyi Xiong
2019 J jnl
Fast Universal Style Transfer for Artistic and Photorealistic Rendering.
CoRR
Jie An, Haoyi Xiong, Jiebo Luo, Jun Huan, Jinwen Ma
2019 — conf
Neural Control Variates for Monte Carlo Variance Reduction.
ECML/PKDD (2)
Ruosi Wan, Mingjun Zhong, Haoyi Xiong, Zhanxing Zhu
2019 J jnl
Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent.
CoRR
Wenqing Hu, Zhanxing Zhu, Haoyi Xiong, Jun Huan
2019 J jnl
Real-time frequency regulation using aggregated electric vehicles in smart grid.
Comput. Ind. Eng.
Md Monirul Islam, Xiao Zhong, Zeyi Sun, Haoyi Xiong, Wenqing Hu
2019 — conf
SecureGBM: Secure Multi-Party Gradient Boosting.
IEEE BigData
Zhi Feng, Jun Huan, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Liping Liu
2019 J jnl
SecureGBM: Secure Multi-Party Gradient Boosting.
CoRR
Zhi Feng, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Liping Liu, Jun Huan
2019 A conf
SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System.
RTSS
Li Li, Haoyi Xiong, Zhishan Guo, Jun Wang, Cheng-Zhong Xu
2019 A* conf
SpHMC: Spectral Hamiltonian Monte Carlo.
AAAI
Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan
2019 J jnl
StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks.
CoRR
Jie An, Haoyi Xiong, Jinwen Ma, Jiebo Luo, Jun Huan
2019 J jnl
The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation.
CoRR
Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Zhanxing Zhu
2019 A* conf
Towards Making Deep Transfer Learning Never Hurt.
ICDM
Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan
2019 J jnl
Towards Making Deep Transfer Learning Never Hurt.
CoRR
Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan
2019 J jnl
Ultrafast Photorealistic Style Transfer via Neural Architecture Search.
CoRR
Jie An, Haoyi Xiong, Jun Huan, Jiebo Luo
2018 A* conf
CSWA: Aggregation-Free Spatial-Temporal Community Sensing.
AAAI
Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das
2018 — conf
DRESS: Dynamic RESource-Reservation Scheme for Congested Data-Intensive Computing Platforms.
IEEE CLOUD
Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, Zhishan Guo
2018 J jnl
DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms.
CoRR
Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, Zhishan Guo
2018 A* conf
De-biasing Covariance-Regularized Discriminant Analysis.
IJCAI
Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo
2018 A* conf
Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data.
ICDM
Xin Xu, Yanjie Fu, Haoyi Xiong, Bo Jin, Xiaolin Li, Shuli Hu, Minghao Yin
2018 J jnl
Energy-Efficient Real-Time Scheduling of DAG Tasks.
ACM Trans. Embed. Comput. Syst.
Ashikahmed Bhuiyan, Zhishan Guo, Abusayeed Saifullah, Nan Guan, Haoyi Xiong
2018 J jnl
Multi-Objective Optimization Based Allocation of Heterogeneous Spatial Crowdsourcing Tasks.
IEEE Trans. Mob. Comput.
Liang Wang, Zhiwen Yu, Qi Han, Bin Guo, Haoyi Xiong
2018 J jnl
Multi-Task Allocation in Mobile Crowd Sensing with Individual Task Quality Assurance.
IEEE Trans. Mob. Comput.
Jiangtao Wang, Yasha Wang, Daqing Zhang, Feng Wang, Haoyi Xiong, Chao Chen, Qin Lv, Zhaopeng Qiu
2018 J jnl
Multitask Allocation to Heterogeneous Participants in Mobile Crowd Sensing.
Wirel. Commun. Mob. Comput.
Weiping Zhu, Wenzhong Guo, Zhiyong Yu, Haoyi Xiong
2018 J jnl
Optimal scheduling of manufacturing and onsite generation systems in over-generation mitigation oriented electricity demand response program.
Comput. Ind. Eng.
Md Monirul Islam, Xiao Zhong, Haoyi Xiong, Zeyi Sun
2018 — conf
Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach.
IWCTS@SIGSPATIAL
Haoyi Xiong, Amin Vahedian, Xun Zhou, Yanhua Li, Jun Luo
2018 J jnl
SPACE-TA: Cost-Effective Task Allocation Exploiting Intradata and Interdata Correlations in Sparse Crowdsensing.
ACM Trans. Intell. Syst. Technol.
Leye Wang, Daqing Zhang, Dingqi Yang, Animesh Pathak, Chao Chen, Xiao Han, Haoyi Xiong, Yasha Wang
2018 A conf
Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate.
RTSS
Zhishan Guo, Kecheng Yang, Sudharsan Vaidhun, Samsil Arefin, Sajal K. Das, Haoyi Xiong
2017 A* conf
AWDA: An Adaptive Wishart Discriminant Analysis.
ICDM
Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo
2017 J jnl
CSWA: Aggregation-Free Spatial-Temporal Community Sensing.
CoRR
Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das
2017 — conf
Classifying respiratory sounds using electronic stethoscope.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Yongpeng Liu, Yusong Lin, Xingjin Zhang, Zongmin Wang, Yang Gao, Guanling Chen, Haoyi Xiong
2017 — conf
Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis.
BHI
Jiang Bian, Laura E. Barnes, Guanling Chen, Haoyi Xiong
2017 B conf
Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks.
ECRTS
Zhishan Guo, Ashikahmed Bhuiyan, Abusayeed Saifullah, Nan Guan, Haoyi Xiong
2017 J jnl
FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification.
CoRR
Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo
2017 — conf
Integrating Cache-Related Preemption Delay into GEDF Analysis for Multiprocessor Scheduling with On-chip Cache.
TrustCom/BigDataSE/ICESS
Ying Zhang, Zhishan Guo, Lingxiang Wang, Haoyi Xiong, Zhenkai Zhang
2017 A* conf
Multi-party Sparse Discriminant Learning.
ICDM
Jiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, Yanjie Fu
2017 J jnl
Near-Optimal Incentive Allocation for Piggyback Crowdsensing.
IEEE Commun. Mag.
Haoyi Xiong, Daqing Zhang, Zhishan Guo, Guanling Chen, Laura E. Barnes
2017 — conf
Response time in mixed-critical pervasive systems.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Sudharsan Vaidhun, Samsil Arefin, Zhishan Guo, Haoyi Xiong, Sajal K. Das
2017 J jnl
ecoSense: Minimize Participants' Total 3G Data Cost in Mobile Crowdsensing Using Opportunistic Relays.
IEEE Trans. Syst. Man Cybern. Syst.
Leye Wang, Daqing Zhang, Haoyi Xiong, John Paul Gibson, Chao Chen, Bing Xie
2016 Misc conf
Assessing social anxiety using gps trajectories and point-of-interest data.
UbiComp
Yu Huang, Haoyi Xiong, Kevin Leach, Yuyan Zhang, Philip Chow, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
2016 J jnl
CT-Mapper: Mapping Sparse Multimodal Cellular Trajectories using a Multilayer Transportation Network.
CoRR
Fereshteh Asgari, Alexis Sultan, Haoyi Xiong, Vincent Gauthier, Mounim A. El-Yacoubi
2016 J jnl
CT-Mapper: Mapping sparse multimodal cellular trajectories using a multilayer transportation network.
Comput. Commun.
Fereshteh Asgari, Alexis Sultan, Haoyi Xiong, Vincent Gauthier, Mounîm A. El-Yacoubi
2016 J jnl
Fine-Grained Multitask Allocation for Participatory Sensing With a Shared Budget.
IEEE Internet Things J.
Jiangtao Wang, Yasha Wang, Daqing Zhang, Leye Wang, Haoyi Xiong, Abdelsalam Helal, Yuanduo He, Feng Wang
2016 J jnl
Provably Good Early Detection of Diseases using Non-Sparse Covariance-Regularized Linear Discriminant Analysis.
CoRR
Haoyi Xiong, Yanjie Fu, Wenqing Hu, Guanling Chen, Laura E. Barnes
2016 Misc conf
Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies.
UbiComp
Haoyi Xiong, Yu Huang, Laura E. Barnes, Matthew S. Gerber
2016 J jnl
iCrowd: Near-Optimal Task Allocation for Piggyback Crowdsensing.
IEEE Trans. Mob. Comput.
Haoyi Xiong, Daqing Zhang, Guanling Chen, Leye Wang, Vincent Gauthier, Laura E. Barnes
2015 Misc conf
CCS-TA: quality-guaranteed online task allocation in compressive crowdsensing.
UbiComp
Leye Wang, Daqing Zhang, Animesh Pathak, Chao Chen, Haoyi Xiong, Dingqi Yang, Yasha Wang
2015 A* conf
CrowdTasker: Maximizing coverage quality in Piggyback Crowdsensing under budget constraint.
PerCom
Haoyi Xiong, Daqing Zhang, Guanling Chen, Leye Wang, Vincent Gauthier
2015 J jnl
EEMC: Enabling Energy-Efficient Mobile Crowdsensing with Anonymous Participants.
ACM Trans. Intell. Syst. Technol.
Haoyi Xiong, Daqing Zhang, Leye Wang, J. Paul Gibson, Jie Zhu
2015 J jnl
EMC
IEEE Trans. Mob. Comput.
Haoyi Xiong, Daqing Zhang, Leye Wang, Hakima Chaouchi
2015 — conf
M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data.
IEEE BigData
Jinghe Zhang, Haoyi Xiong, Yu Huang, Hao Wu, Kevin Leach, Laura E. Barnes
2015 — —
Near-optimal mobile crowdsensing : design framework and algorithms. (Quasi-optimal mobile crowdsensing : cadre de conception et algorithmes).
Haoyi Xiong
2015 J jnl
NextCell: Predicting Location Using Social Interplay from Cell Phone Traces.
IEEE Trans. Computers
Daqiang Zhang, Daqing Zhang, Haoyi Xiong, Laurence T. Yang, Vincent Gauthier
2015 J jnl
effSense: A Novel Mobile Crowd-Sensing Framework for Energy-Efficient and Cost-Effective Data Uploading.
IEEE Trans. Syst. Man Cybern. Syst.
Leye Wang, Daqing Zhang, Zhixian Yan, Haoyi Xiong, Bing Xie
2014 J jnl
4W1H in mobile crowd sensing.
IEEE Commun. Mag.
Daqing Zhang, Leye Wang, Haoyi Xiong, Bin Guo
2014 J jnl
BASA: building mobile Ad-Hoc social networks on top of android.
IEEE Netw.
Daqiang Zhang, Daqing Zhang, Haoyi Xiong, Ching-Hsien Hsu, Athanasios V. Vasilakos
2014 Misc conf
CrowdRecruiter: selecting participants for piggyback crowdsensing under probabilistic coverage constraint.
UbiComp
Daqing Zhang, Haoyi Xiong, Leye Wang, Guanling Chen
2014 J jnl
MPaaS: Mobility prediction as a service in telecom cloud.
Inf. Syst. Frontiers
Haoyi Xiong, Daqing Zhang, Daqiang Zhang, Vincent Gauthier, Kun Yang, Monique Becker
2014 J jnl
Mobility prediction in telecom cloud using mobile calls.
IEEE Wirel. Commun.
Daqiang Zhang, Min Chen, Mohsen Guizani, Haoyi Xiong, Daqing Zhang
2013 J jnl
CRUC: Cold-start Recommendations Using Collaborative Filtering in Internet of Things.
CoRR
Daqiang Zhang, Qin Zou, Haoyi Xiong
2013 — conf
effSense: energy-efficient and cost-effective data uploading in mobile crowdsensing.
UbiComp (Adjunct Publication)
Leye Wang, Daqing Zhang, Haoyi Xiong
2012 — conf
Predicting Mobile Phone User Locations by Exploiting Collective Behavioral Patterns.
UIC/ATC
Haoyi Xiong, Daqing Zhang, Daqiang Zhang, Vincent Gauthier
2012 A* conf
Predicting location using mobile phone calls.
SIGCOMM
Daqiang Zhang, Athanasios V. Vasilakos, Haoyi Xiong
2008 — conf
OntoLTCn: A Chinese Text Oriented Semi-auto Ontology Knowledge Discovery Tool.
CSSE (1)
Ying Jiang, Hui Dong, Haoyi Xiong