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Chenghao Liu
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2020 – today
- 2025
- [j22]Qian Tao, Chenghao Liu, Yuhan Xia
, Yong Xu, Lusi Li
Adaptive multi-graph contrastive learning for bundle recommendation. Neural Networks 181: 106832 (2025) - 2024
- [j21]Chenghao Liu
Large Language Models and Sentiment Analysis in Financial Markets: A Review, Datasets, and Case Study. IEEE Access 12: 134041-134061 (2024) - [j20]Jiahui Zhao
Review of Lithium-Ion Battery Fault Features, Diagnosis Methods, and Diagnosis Procedures. IEEE Internet Things J. 11(11): 18936-18950 (2024) - [j19]Yuxing Li
Deep learning enables accurate brain tissue microstructure analysis based on clinically feasible diffusion magnetic resonance imaging. NeuroImage 300: 120858 (2024) - [j18]Quang Pham
Continual Learning, Fast and Slow. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 134-149 (2024) - [j17]Xiao Wang, Di Wang, Chenghao Liu, Mengmeng Zhang, Luting Xu
Refined Intelligent Landslide Identification Based on Multi-Source Information Fusion. Remote. Sens. 16(17): 3119 (2024) - [c58]Zhisheng Lin, Han Fu, Chenghao Liu, Zhuo Li, Jianling Sun:
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning. ACL (Findings) 2024: 6869-6883 - [c57]Mouxiang Chen
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank. ICML 2024 - [c56]Chenghao Liu, Minghua Chen:
ReLU Network with Width d+O(1) Can Achieve Optimal Approximation Rate. ICML 2024 - [c55]Chenghao Liu, Enming Liang, Minghua Chen:
Characterizing ResNet's Universal Approximation Capability. ICML 2024 - [c54]Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
Unified Training of Universal Time Series Forecasting Transformers. ICML 2024 - [c53]Chengzhi Liu, Zihong Luo, Zheng Tao, Chenghao Liu, Yitao Xu, Zile Huang:
MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network. ICPR (14) 2024: 424-438 - [c52]Xiyun Li, Tielin Zhang, Chenghao Liu, Linghui Meng, Bo Xu:
Long Short-Term Reasoning Network with Theory of Mind for Efficient Multi-Agent Cooperation. IJCNN 2024: 1-8 - [c51]Mouxiang Chen
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift. KDD 2024: 341-352 - [c50]Long Li
Full-Attention Driven Graph Contrastive Learning: with Effective Mutual Information Insight. WWW 2024: 1069-1080 - [i54]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:
CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition. CoRR abs/2402.02526 (2024) - [i53]Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
Unified Training of Universal Time Series Forecasting Transformers. CoRR abs/2402.02592 (2024) - [i52]Chengzhi Liu, Zheng Tao, Zihong Luo, Chenghao Liu:
MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network. CoRR abs/2402.05423 (2024) - [i51]Qiheng Mao, Zemin Liu, Chenghao Liu, Zhuo Li, Jianling Sun:
Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques. CoRR abs/2402.05952 (2024) - [i50]Zhisheng Lin
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning. CoRR abs/2402.15082 (2024) - [i49]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
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR abs/2404.18886 (2024) - [i48]Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. CoRR abs/2405.14252 (2024) - [i47]Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo:
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. CoRR abs/2406.04975 (2024) - [i46]Mouxiang Chen
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters. CoRR abs/2408.17253 (2024) - [i45]Taha Aksu, Gerald Woo, Juncheng Liu, Xu Liu, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo:
GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation. CoRR abs/2410.10393 (2024) - [i44]Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo:
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. CoRR abs/2410.10469 (2024) - [i43]Taha Aksu, Chenghao Liu, Amrita Saha, Sarah Tan, Caiming Xiong, Doyen Sahoo:
XForecast: Evaluating Natural Language Explanations for Time Series Forecasting. CoRR abs/2410.14180 (2024) - 2023
- [j16]Zichen Zhang, Yuan Wang, Chenghao Liu:
Multihoming effect on the two-sided platform of second-hand cars. Comput. Ind. Eng. 179: 109160 (2023) - [j15]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:
Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. 24: 226:1-226:6 (2023) - [j14]Xinru Zhang
CarveMix: A simple data augmentation method for brain lesion segmentation. NeuroImage 271: 120041 (2023) - [c49]Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi:
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. EMNLP 2023: 5754-5765 - [c48]Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
OTW: Optimal Transport Warping for Time Series. ICASSP 2023: 1-5 - [c47]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Learning Fast and Slow for Online Time Series Forecasting. ICLR 2023 - [c46]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
Learning Deep Time-index Models for Time Series Forecasting. ICML 2023: 37217-37237 - [c45]Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao:
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. IJCAI 2023: 3984-3992 - [c44]Qiheng Mao
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer. WWW 2023: 599-610 - [i42]Devansh Arpit, Matthew Fernandez, Chenghao Liu, Weiran Yao, Wenzhuo Yang, Paul Josel, Shelby Heinecke
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data. CoRR abs/2301.10859 (2023) - [i41]Qian Cheng, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
LogAI: A Library for Log Analytics and Intelligence. CoRR abs/2301.13415 (2023) - [i40]Qiheng Mao, Zemin Liu, Chenghao Liu, Jianling Sun:
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer. CoRR abs/2302.11329 (2023) - [i39]Xinru Zhang, Ni Ou, Chenghao Liu, Zhizheng Zhuo, Yaou Liu, Chuyang Ye:
Unsupervised Brain Tumor Segmentation with Image-based Prompts. CoRR abs/2304.01472 (2023) - [i38]Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Savarese, Steven C. H. Hoi:
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges. CoRR abs/2304.04661 (2023) - [i37]Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
OTW: Optimal Transport Warping for Time Series. CoRR abs/2306.00620 (2023) - [i36]Chenghao Liu, Wenzhuo Yang, Himanshu Mittal, Manpreet Singh, Doyen Sahoo, Steven C. H. Hoi:
PyRCA: A Library for Metric-based Root Cause Analysis. CoRR abs/2306.11417 (2023) - [i35]Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao:
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. CoRR abs/2306.15347 (2023) - [i34]Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun:
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank. CoRR abs/2309.15560 (2023) - [i33]Gerald Woo, Chenghao Liu, Akshat Kumar, Doyen Sahoo:
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain. CoRR abs/2310.05063 (2023) - [i32]Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu:
Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift. CoRR abs/2310.14838 (2023) - [i31]Mouxiang Chen
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt. CoRR abs/2310.14845 (2023) - [i30]Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi:
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. CoRR abs/2312.07035 (2023) - 2022
- [j13]Shixi Cui
Link Ecological and Social Composite Systems to Construct Sustainable Landscape Patterns: A New Framework Based on Ecosystem Service Flows. Remote. Sens. 14(18): 4663 (2022) - [j12]Fan Liu
An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation. IEEE Trans. Knowl. Data Eng. 34(9): 4077-4088 (2022) - [j11]Hao Wang
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism. IEEE Trans. Multim. 24: 2515-2525 (2022) - [c43]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. ICLR 2022 - [c42]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. ICLR 2022 - [c41]Mouxiang Chen
Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank. KDD 2022: 136-145 - [c40]Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun:
LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank. NeurIPS 2022 - [c39]Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang
On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks. WWW 2022: 1506-1516 - [i29]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting. CoRR abs/2202.01381 (2022) - [i28]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. CoRR abs/2202.01575 (2022) - [i27]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Learning Fast and Slow for Online Time Series Forecasting. CoRR abs/2202.11672 (2022) - [i26]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. CoRR abs/2203.16102 (2022) - [i25]Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun:
Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank. CoRR abs/2206.01702 (2022) - [i24]Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting. CoRR abs/2207.06046 (2022) - [i23]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
Continual Learning: Fast and Slow. CoRR abs/2209.02370 (2022) - 2021
- [j10]Chenghao Liu, Fei Zhu, Quan Liu, Yuchen Fu:
Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification. IEEE CAA J. Autom. Sinica 8(10): 1686-1696 (2021) - [j9]Yu Qin, Zhiwen Liu, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Chuyang Ye
Super-Resolved q-Space deep learning with uncertainty quantification. Medical Image Anal. 67: 101885 (2021) - [c38]Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi:
Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph. AAAI 2021: 4267-4275 - [c37]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Contextual Transformation Networks for Online Continual Learning. ICLR 2021 - [c36]Zemin Liu, Yuan Fang
Node-wise Localization of Graph Neural Networks. IJCAI 2021: 1520-1526 - [c35]Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye:
Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects. MICCAI (1) 2021: 186-195 - [c34]Xinru Zhang, Chenghao Liu, Ni Ou
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation. MICCAI (1) 2021: 196-205 - [c33]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
DualNet: Continual Learning, Fast and Slow. NeurIPS 2021: 16131-16144 - [c32]Chenghao Liu, Tao Lu, Zhiyong Cheng, Xin Wang, Jianling Sun, Steven C. H. Hoi:
Discrete Listwise Collaborative Filtering for Fast Recommendation. SDM 2021: 46-54 - [c31]Mouxiang Chen
Adapting Interactional Observation Embedding for Counterfactual Learning to Rank. SIGIR 2021: 285-294 - [i22]Xinru Zhang
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation. CoRR abs/2108.06883 (2021) - [i21]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:
Merlion: A Machine Learning Library for Time Series. CoRR abs/2109.09265 (2021) - [i20]Yongjun Chen, Jia Li, Chenghao Liu, Chenxi Li, Markus Anderle, Julian J. McAuley, Caiming Xiong:
Modeling Dynamic Attributes for Next Basket Recommendation. CoRR abs/2109.11654 (2021) - [i19]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
DualNet: Continual Learning, Fast and Slow. CoRR abs/2110.00175 (2021) - [i18]Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi:
Node-wise Localization of Graph Neural Networks. CoRR abs/2110.14322 (2021) - 2020
- [j8]Yong Liu
SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 748-757 (2020) - [c30]Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu:
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CIKM 2020: 295-304 - [c29]Han Fu, Rui Wu, Chenghao Liu, Jianling Sun:
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model. CVPR 2020: 14558-14568 - [c28]Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi:
Adaptive Task Sampling for Meta-learning. ECCV (18) 2020: 752-769 - [c27]Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi:
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. EMNLP (1) 2020: 1860-1877 - [c26]Chenghao Liu, Fengqian Pang, Yanlin Liu, Kongming Liang, Xiuli Li, Xiangzhu Zeng, Chuyang Ye:
Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions. ISBI 2020: 279-282 - [c25]Jianwen Yin, Chenghao Liu, Weiqing Wang
Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling. KDD 2020: 359-367 - [i17]Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism. CoRR abs/2003.03955 (2020) - [i16]Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie:
A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation. CoRR abs/2003.09086 (2020) - [i15]Han Fu, Rui Wu, Chenghao Liu, Jianling Sun:
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model. CoRR abs/2004.01095 (2020) - [i14]Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi:
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. CoRR abs/2004.14307 (2020) - [i13]Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu:
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CoRR abs/2006.12739 (2020) - [i12]Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi:
Adaptive Task Sampling for Meta-Learning. CoRR abs/2007.08735 (2020) - [i11]Quang Pham, Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi:
Bilevel Continual Learning. CoRR abs/2007.15553 (2020) - [i10]Lingbing Guo, Weiqing Wang, Zequn Sun, Chenghao Liu, Wei Hu:
Decentralized Knowledge Graph Representation Learning. CoRR abs/2010.08114 (2020) - [i9]Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi:
Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling. CoRR abs/2010.11401 (2020)
2010 – 2019
- 2019
- [c24]Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi:
Discrete Social Recommendation. AAAI 2019: 208-215 - [c23]Han Fu, Chenghao Liu, Jianling Sun:
Reference Network for Neural Machine Translation. ACL (1) 2019: 3002-3012 - [c22]Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu:
Multi-level network embedding with boosted low-rank matrix approximation. ASONAM 2019: 49-56 - [c21]Hao Wang
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images. CVPR 2019: 11572-11581 - [c20]Jianwen Yin, Chenghao Liu, Jundong Li, Bing Tian Dai
Online Collaborative Filtering with Implicit Feedback. DASFAA (2) 2019: 433-448 - [c19]Yang Bai, Xin Yang, Chenghao Liu, Justin Wain, Ryan Wang, Jeffery Cheng, Chen Wang, Jian Liu, Yingying Chen:
Demo: Monitoring Movement Dynamics of Robot Cars and Drones Using Smartphone's Built-in Sensors. DySPAN 2019: 1-2 - [c18]Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu:
Adaptive Unsupervised Feature Selection on Attributed Networks. KDD 2019: 92-100 - [c17]Xin Wang, Wenwu Zhu, Chenghao Liu:
Social Recommendation with Optimal Limited Attention. KDD 2019: 1518-1527 - [c16]Chuyang Ye, Yu Qin, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Zhiwen Liu:
Super-Resolved q-Space Deep Learning. MICCAI (3) 2019: 582-589 - [c15]Xin Wang, Wenwu Zhu, Chenghao Liu:
Semi-supervised Deep Quantization for Cross-modal Search. ACM Multimedia 2019: 1730-1739 - [c14]Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi:
Robust Factorization Machine: A Doubly Capped Norms Minimization. SDM 2019: 738-746 - [c13]Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi:
Compositional Coding for Collaborative Filtering. SIGIR 2019: 145-154 - [i8]Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi:
Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images. CoRR abs/1905.01273 (2019) - [i7]Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi:
Compositional Coding for Collaborative Filtering. CoRR abs/1905.03752 (2019) - [i6]Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu:
Graph Neural Networks with High-order Feature Interactions. CoRR abs/1908.07110 (2019) - [i5]Han Fu, Chenghao Liu, Jianling Sun:
Reference Network for Neural Machine Translation. CoRR abs/1908.09920 (2019) - 2018
- [c12]Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi:
Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points. AAAI 2018: 2339-2346 - [i4]Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng:
SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. CoRR abs/1810.08726 (2018) - 2017
- [j7]Yue Wu, Steven C. H. Hoi
SOL: A library for scalable online learning algorithms. Neurocomputing 260: 9-12 (2017) - [j6]Fang Liu, Wei Wei, Gaoyi Yang, Cunxin Wang, Xin Yang, Yabei Jin, Chenghao Liu, Fangjun Wang:
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. Int. J. Pattern Recognit. Artif. Intell. 31(11): 1757008:1-1757008:14 (2017) - [j5]Chenghao Liu, Tao Jin
Collaborative topic regression for online recommender systems: an online and Bayesian approach. Mach. Learn. 106(5): 651-670 (2017) - [c11]Xin Wang, Steven C. H. Hoi
Interactive Social Recommendation. CIKM 2017: 357-366 - [c10]Yi Ding
Large Scale Kernel Methods for Online AUC Maximization. ICDM 2017: 91-100 - [c9]Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun:
Locally Linear Factorization Machines. IJCAI 2017: 2294-2300 - [i3]Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi:
Malicious URL Detection using Machine Learning: A Survey. CoRR abs/1701.07179 (2017) - 2016
- [c8]Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun:
Online ARIMA Algorithms for Time Series Prediction. AAAI 2016: 1867-1873 - [c7]Chenghao Liu, Steven C. H. Hoi
Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications. CIKM 2016: 1161-1170 - [i2]Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun:
Online Bayesian Collaborative Topic Regression. CoRR abs/1605.08872 (2016) - [i1]Yue Wu, Steven C. H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu:
SOL: A Library for Scalable Online Learning Algorithms. CoRR abs/1610.09083 (2016) - 2013
- [j4]Chenghao Liu, Miska M. Hannuksela, Moncef Gabbouj
Client-Driven Joint Cache Management and Rate Adaptation for Dynamic Adaptive Streaming over HTTP. Int. J. Digit. Multim. Broadcast. 2013: 471683:1-471683:16 (2013) - 2012
- [j3]Chenghao Liu, Imed Bouazizi, Miska M. Hannuksela, Moncef Gabbouj
Rate adaptation for dynamic adaptive streaming over HTTP in content distribution network. Signal Process. Image Commun. 27(4): 288-311 (2012) - [j2]Yongfeng Huang, Chenghao Liu, Shanyu Tang, Sen Bai:
Steganography Integration Into a Low-Bit Rate Speech Codec. IEEE Trans. Inf. Forensics Secur. 7(6): 1865-1875 (2012) - 2011
- [j1]Yu Dang, Chenghao Liu, Zhao Hong:
Safety analysis of independent columns mounted on isolated bearing system. Int. J. Comput. Intell. Syst. 4(6): 1334-1341 (2011) - [c6]Chenghao Liu, Imed Bouazizi, Moncef Gabbouj
Parallel Adaptive HTTP Media Streaming. ICCCN 2011: 1-6 - [c5]Chenghao Liu, Imed Bouazizi, Moncef Gabbouj
Segment duration for rate adaptation of adaptive HTTP streaming. ICME 2011: 1-4 - [c4]Chenghao Liu, Imed Bouazizi, Moncef Gabbouj
Rate adaptation for adaptive HTTP streaming. MMSys 2011: 169-174 - 2010
- [c3]Chenghao Liu, Imed Bouazizi, Moncef Gabbouj
Advanced Rate Adaption for Unicast Streaming of Scalable Video. ICC 2010: 1-5 - [c2]Chenghao Liu, Imed Bouazizi, Moncef Gabbouj
Multi-buffer based congestion control for multicast streaming of scalable video. ICME 2010: 998-1003
2000 – 2009
- 2008
- [c1]Jegadish Devadoss, Varun Singh, Jörg Ott, Chenghao Liu, Ye-Kui Wang, Igor D. D. Curcio:
Evaluation of Error Resilience Mechanisms for 3G Conversational Video. ISM 2008: 378-383
Coauthor Index
[j18] [i54] [j15] [c49] [c48] [c47] [c46] [i41] [i38] [i37] [i36] [i30] [j11] [c43] [c42] [i29] [i28] [i27] [i26] [i24] [i23] [c38] [c37] [c36] [c33] [c32] [c31] [i21] [i19] [i18] [c28] [c27] [c25] [i17] [i14] [i12] [i11] [i9] [c24] [c21] [c14] [c13] [i8] [i7] [c12] [j7] [j5] [c11] [c10] [i3] [c8] [c7] [i2] [i1]
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