Chenghao Liu

According to our database, Chenghao Liu authored at least 104 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Refined Intelligent Landslide Identification Based on Multi-Source Information Fusion.

Xiao Wang, Di Wang, Chenghao Liu, Mengmeng Zhang, Luting Xu, Tiegang Sun, Weile Li, Sizhi Cheng, Jianhui Dong

Remote. Sens., September, 2024

Review of Lithium-Ion Battery Fault Features, Diagnosis Methods, and Diagnosis Procedures.

Jiahui Zhao, Mingyi Liu, Bin Zhang, Xiaolong Wang, Dawei Liu, Jianxing Wang, Panxing Bai, Chenghao Liu, Yue Sun, Yong Zhu

IEEE Internet Things J., June, 2024

Continual Learning, Fast and Slow.

Quang Pham, Chenghao Liu, Steven C. H. Hoi

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Deep learning enables accurate brain tissue microstructure analysis based on clinically feasible diffusion magnetic resonance imaging.

Yuxing Li, Zhizheng Zhuo, Chenghao Liu, Yunyun Duan, Yulu Shi, Tingting Wang, Runzhi Li, Yanli Wang, Jiwei Jiang, Jun Xu, Decai Tian, Xinghu Zhang, Fudong Shi, Xiaofeng Zhang, Aaron Carass, Frederik Barkhof, Jerry L. Prince, Chuyang Ye, Yaou Liu

NeuroImage, 2024

VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters.

Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun, Chenghao Liu

CoRR, 2024

UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting.

Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo

CoRR, 2024

Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting.

Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang

CoRR, 2024

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.

Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen

CoRR, 2024

Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques.

Qiheng Mao, Zemin Liu, Chenghao Liu, Zhuo Li, Jianling Sun

CoRR, 2024

MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network.

Chengzhi Liu, Zheng Tao, Zihong Luo, Chenghao Liu

CoRR, 2024

CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition.

Quang Pham, Giang Do, Huy Nguyen, TrungTin Nguyen, Chenghao Liu, Mina Sartipi, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi, Nhat Ho

CoRR, 2024

Large Language Models and Sentiment Analysis in Financial Markets: A Review, Datasets, and Case Study.

Chenghao Liu, Arunkumar Arulappan, Ranesh Naha, Aniket Mahanti, Joarder Kamruzzaman, In-Ho Ra

IEEE Access, 2024

Full-Attention Driven Graph Contrastive Learning: with Effective Mutual Information Insight.

Long Li, Zemin Liu, Chenghao Liu, Jianling Sun

Proceedings of the ACM on Web Conference 2024, 2024

Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift.

Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Long Short-Term Reasoning Network with Theory of Mind for Efficient Multi-Agent Cooperation.

Xiyun Li, Tielin Zhang, Chenghao Liu, Linghui Meng, Bo Xu

Proceedings of the International Joint Conference on Neural Networks, 2024

Unified Training of Universal Time Series Forecasting Transformers.

Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Characterizing ResNet's Universal Approximation Capability.

Chenghao Liu, Enming Liang, Minghua Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ReLU Network with Width d+O(1) Can Achieve Optimal Approximation Rate.

Chenghao Liu, Minghua Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank.

Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning.

Zhisheng Lin, Han Fu, Chenghao Liu, Zhuo Li, Jianling Sun

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

CarveMix: A simple data augmentation method for brain lesion segmentation.

Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Zhizheng Zhuo, Yunyun Duan, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Yaou Liu, Chuyang Ye

NeuroImage, May, 2023

Multihoming effect on the two-sided platform of second-hand cars.

Zichen Zhang, Yuan Wang, Chenghao Liu

Comput. Ind. Eng., May, 2023

Merlion: End-to-End Machine Learning for Time Series.

Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang

J. Mach. Learn. Res., 2023

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.

Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi

CoRR, 2023

ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt.

Mouxiang Chen, Zemin Liu, Chenghao Liu, Jundong Li, Qiheng Mao, Jianling Sun

CoRR, 2023

Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift.

Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu

CoRR, 2023

Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain.

Gerald Woo, Chenghao Liu, Akshat Kumar, Doyen Sahoo

CoRR, 2023

PyRCA: A Library for Metric-based Root Cause Analysis.

Chenghao Liu, Wenzhuo Yang, Himanshu Mittal, Manpreet Singh, Doyen Sahoo, Steven C. H. Hoi

CoRR, 2023

AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges.

Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Savarese, Steven C. H. Hoi

CoRR, 2023

Unsupervised Brain Tumor Segmentation with Image-based Prompts.

Xinru Zhang, Ni Ou, Chenghao Liu, Zhizheng Zhuo, Yaou Liu, Chuyang Ye

CoRR, 2023

LogAI: A Library for Log Analytics and Intelligence.

Qian Cheng, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi

CoRR, 2023

Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data.

Devansh Arpit, Matthew Fernandez, Chenghao Liu, Weiran Yao, Wenzhuo Yang, Paul Josel, Shelby Heinecke, Eric Hu, Huan Wang, Stephen C. H. Hoi, Caiming Xiong, Kun Zhang, Juan Carlos Niebles

CoRR, 2023

HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer.

Qiheng Mao, Zemin Liu, Chenghao Liu, Jianling Sun

Proceedings of the ACM Web Conference 2023, 2023

FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer.

Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Deep Time-index Models for Time Series Forecasting.

Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi

Proceedings of the International Conference on Machine Learning, 2023

Learning Fast and Slow for Online Time Series Forecasting.

Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

OTW: Optimal Transport Warping for Time Series.

Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi

Proceedings of the IEEE International Conference on Acoustics, 2023

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.

Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism.

Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi

IEEE Trans. Multim., 2022

An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation.

Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie

IEEE Trans. Knowl. Data Eng., 2022

Link Ecological and Social Composite Systems to Construct Sustainable Landscape Patterns: A New Framework Based on Ecosystem Service Flows.

Shixi Cui, Zenglin Han, Xiaolu Yan, Xiuzhen Li, Wenzhen Zhao, Chenghao Liu, Xinyuan Li, Jingqiu Zhong

Remote. Sens., 2022

DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting.

Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi

CoRR, 2022

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting.

Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi

CoRR, 2022

On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks.

Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang, Jianling Sun

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank.

Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank.

Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting.

Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi

Proceedings of the Tenth International Conference on Learning Representations, 2022

Continual Normalization: Rethinking Batch Normalization for Online Continual Learning.

Quang Pham, Chenghao Liu, Steven C. H. Hoi

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Super-Resolved q-Space deep learning with uncertainty quantification.

Yu Qin, Zhiwen Liu, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Chuyang Ye

Medical Image Anal., 2021

Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification.

Chenghao Liu, Fei Zhu, Quan Liu, Yuchen Fu

IEEE CAA J. Autom. Sinica, 2021

Modeling Dynamic Attributes for Next Basket Recommendation.

Yongjun Chen, Jia Li, Chenghao Liu, Chenxi Li, Markus Anderle, Julian J. McAuley, Caiming Xiong

CoRR, 2021

Merlion: A Machine Learning Library for Time Series.

Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang

CoRR, 2021

Adapting Interactional Observation Embedding for Counterfactual Learning to Rank.

Mouxiang Chen, Chenghao Liu, Jianling Sun, Steven C. H. Hoi

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Discrete Listwise Collaborative Filtering for Fast Recommendation.

Chenghao Liu, Tao Lu, Zhiyong Cheng, Xin Wang, Jianling Sun, Steven C. H. Hoi

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

DualNet: Continual Learning, Fast and Slow.

Quang Pham, Chenghao Liu, Steven C. H. Hoi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation.

Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects.

Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Node-wise Localization of Graph Neural Networks.

Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Contextual Transformation Networks for Online Continual Learning.

Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi

Proceedings of the 9th International Conference on Learning Representations, 2021

Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph.

Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

SL²MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization.

Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Decentralized Knowledge Graph Representation Learning.

Lingbing Guo, Weiqing Wang, Zequn Sun, Chenghao Liu, Wei Hu

CoRR, 2020

Bilevel Continual Learning.

Quang Pham, Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi

CoRR, 2020

A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation.

Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie

CoRR, 2020

Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling.

Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions.

Chenghao Liu, Fengqian Pang, Yanlin Liu, Kongming Liang, Xiuli Li, Xiangzhu Zeng, Chuyang Ye

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues.

Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Adaptive Task Sampling for Meta-learning.

Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi

Proceedings of the Computer Vision - ECCV 2020, 2020

MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model.

Han Fu, Rui Wu, Chenghao Liu, Jianling Sun

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Graph Prototypical Networks for Few-shot Learning on Attributed Networks.

Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Graph Neural Networks with High-order Feature Interactions.

Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu

CoRR, 2019

Compositional Coding for Collaborative Filtering.

Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Robust Factorization Machine: A Doubly Capped Norms Minimization.

Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Semi-supervised Deep Quantization for Cross-modal Search.

Xin Wang, Wenwu Zhu, Chenghao Liu

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Super-Resolved q-Space Deep Learning.

Chuyang Ye, Yu Qin, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Zhiwen Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Social Recommendation with Optimal Limited Attention.

Xin Wang, Wenwu Zhu, Chenghao Liu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Adaptive Unsupervised Feature Selection on Attributed Networks.

Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Demo: Monitoring Movement Dynamics of Robot Cars and Drones Using Smartphone's Built-in Sensors.

Yang Bai, Xin Yang, Chenghao Liu, Justin Wain, Ryan Wang, Jeffery Cheng, Chen Wang, Jian Liu, Yingying Chen

Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019

Online Collaborative Filtering with Implicit Feedback.

Jianwen Yin, Chenghao Liu, Jundong Li, Bing Tian Dai, Yun-chen Chen, Min Wu, Jianling Sun

Proceedings of the Database Systems for Advanced Applications, 2019

Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images.

Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Multi-level network embedding with boosted low-rank matrix approximation.

Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Reference Network for Neural Machine Translation.

Han Fu, Chenghao Liu, Jianling Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Discrete Social Recommendation.

Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points.

Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Collaborative topic regression for online recommender systems: an online and Bayesian approach.

Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun

Mach. Learn., 2017

Therapeutic Effects and Finite Element Analysis of a Combined Treatment Using Laser Needle-Knife with Supine Repositioning Massage on Patients with Cervical Spondylotic Vertebral Arteriopathy.

Fang Liu, Wei Wei, Gaoyi Yang, Cunxin Wang, Xin Yang, Yabei Jin, Chenghao Liu, Fangjun Wang

Int. J. Pattern Recognit. Artif. Intell., 2017

SOL: A library for scalable online learning algorithms.

Yue Wu, Steven C. H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu

Neurocomputing, 2017

Malicious URL Detection using Machine Learning: A Survey.

Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi

CoRR, 2017

Locally Linear Factorization Machines.

Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Large Scale Kernel Methods for Online AUC Maximization.

Yi Ding, Chenghao Liu, Peilin Zhao, Steven C. H. Hoi

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Interactive Social Recommendation.

Xin Wang, Steven C. H. Hoi, Chenghao Liu, Martin Ester

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Online Bayesian Collaborative Topic Regression.

Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun

CoRR, 2016

Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications.

Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun, Ee-Peng Lim

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Online ARIMA Algorithms for Time Series Prediction.

Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2013

Client-Driven Joint Cache Management and Rate Adaptation for Dynamic Adaptive Streaming over HTTP.

Chenghao Liu, Miska M. Hannuksela, Moncef Gabbouj

Int. J. Digit. Multim. Broadcast., 2013

2012

Steganography Integration Into a Low-Bit Rate Speech Codec.

Yongfeng Huang, Chenghao Liu, Shanyu Tang, Sen Bai

IEEE Trans. Inf. Forensics Secur., 2012

Rate adaptation for dynamic adaptive streaming over HTTP in content distribution network.

Chenghao Liu, Imed Bouazizi, Miska M. Hannuksela, Moncef Gabbouj

Signal Process. Image Commun., 2012

2011

Safety analysis of independent columns mounted on isolated bearing system.

Yu Dang, Chenghao Liu, Zhao Hong

Int. J. Comput. Intell. Syst., 2011

Rate adaptation for adaptive HTTP streaming.

Chenghao Liu, Imed Bouazizi, Moncef Gabbouj

Proceedings of the Second Annual ACM SIGMM Conference on Multimedia Systems, 2011

Segment duration for rate adaptation of adaptive HTTP streaming.

Chenghao Liu, Imed Bouazizi, Moncef Gabbouj

Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

Parallel Adaptive HTTP Media Streaming.

Chenghao Liu, Imed Bouazizi, Moncef Gabbouj

Proceedings of 20th International Conference on Computer Communications and Networks, 2011

2010

Multi-buffer based congestion control for multicast streaming of scalable video.

Chenghao Liu, Imed Bouazizi, Moncef Gabbouj

Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

Advanced Rate Adaption for Unicast Streaming of Scalable Video.

Chenghao Liu, Imed Bouazizi, Moncef Gabbouj

Proceedings of IEEE International Conference on Communications, 2010

2008

Evaluation of Error Resilience Mechanisms for 3G Conversational Video.

Jegadish Devadoss, Varun Singh, Jörg Ott, Chenghao Liu, Ye-Kui Wang, Igor D. D. Curcio

Proceedings of the Tenth IEEE International Symposium on Multimedia (ISM2008), 2008