Chenghao Liu

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 110

Top Venues

Publications

Zhisheng Lin, Han Fu, Chenghao Liu, Zhuo Li, Jianling Sun
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning. CoRR (2024)
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 (2024)
Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo
Unified Training of Universal Time Series Forecasting Transformers. CoRR (2024)
Quang Pham, Chenghao Liu, Steven C. H. Hoi
Continual Learning, Fast and Slow. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
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 (2024)
Long Li, Zemin Liu, Chenghao Liu, Jianling Sun
Full-Attention Driven Graph Contrastive Learning: with Effective Mutual Information Insight. WWW (2024)
Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift. KDD (2024)
Chengzhi Liu, Chong Zhong, Mingyu Jin, Zheng Tao, Zihong Luo, Chenghao Liu, Shuliang Zhao
MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network. CoRR (2024)
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 (2024)
Qiheng Mao, Zemin Liu, Chenghao Liu, Zhuo Li, Jianling Sun
Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques. CoRR (2024)
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)
Jiahui Zhao, Mingyi Liu, Bin Zhang, Xiaolong Wang, Dawei Liu, Jianxing Wang, Panxing Bai, Chenghao Liu, Yue Sun, Yong Zhu
Review of Lithium-Ion Battery Fault Features, Diagnosis Methods, and Diagnosis Procedures. IEEE Internet Things J. 11 (11) (2024)
Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. CoRR (2024)
Chenghao Liu, Wenzhuo Yang, Himanshu Mittal, Manpreet Singh, Doyen Sahoo, Steven C. H. Hoi
PyRCA: A Library for Metric-based Root Cause Analysis. CoRR (2023)
Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. CoRR (2023)
Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
Learning Fast and Slow for Online Time Series Forecasting. ICLR (2023)
Zichen Zhang, Yuan Wang, Chenghao Liu
Multihoming effect on the two-sided platform of second-hand cars. Comput. Ind. Eng. 179 (2023)
Qian Cheng, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
LogAI: A Library for Log Analytics and Intelligence. CoRR (2023)
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 (2023)
Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
OTW: Optimal Transport Warping for Time Series. CoRR (2023)
Gerald Woo, Chenghao Liu, Akshat Kumar, Doyen Sahoo
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain. CoRR (2023)
Qiheng Mao, Zemin Liu, Chenghao Liu, Jianling Sun
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer. CoRR (2023)
Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. IJCAI (2023)
Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
OTW: Optimal Transport Warping for Time Series. ICASSP (2023)
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 (2023)
Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Zhizheng Zhuo, Yunyun Duan, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Yaou Liu, Chuyang Ye
CarveMix: A simple data augmentation method for brain lesion segmentation. NeuroImage 271 (2023)
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 (2023)
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)
Mouxiang Chen, Zemin Liu, Chenghao Liu, Jundong Li, Qiheng Mao, Jianling Sun
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt. CoRR (2023)
Devansh Arpit, Matthew Fernandez, Chenghao Liu, Weiran Yao, Wenzhuo Yang, Paul Josel, Shelby Heinecke, Eric Hu, Huan Wang, Stephen Hoi, Caiming Xiong, Kun Zhang, Juan Carlos Niebles
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data. CoRR (2023)
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 (2023)
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
Learning Deep Time-index Models for Time Series Forecasting. ICML (2023)
Qiheng Mao, Zemin Liu, Chenghao Liu, Jianling Sun
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer. WWW (2023)
Xinru Zhang, Ni Ou, Chenghao Liu, Zhizheng Zhuo, Yaou Liu, Chuyang Ye
Unsupervised Brain Tumor Segmentation with Image-based Prompts. CoRR (2023)
Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank. CoRR (2023)
Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism. IEEE Trans. Multim. 24 (2022)
Shixi Cui, Zenglin Han, Xiaolu Yan, Xiuzhen Li, Wenzhen Zhao, Chenghao Liu, Xinyuan Li, Jingqiu Zhong
Link Ecological and Social Composite Systems to Construct Sustainable Landscape Patterns: A New Framework Based on Ecosystem Service Flows. Remote. Sens. 14 (18) (2022)
Quang Pham, Chenghao Liu, Steven C. H. Hoi
Continual Learning: Fast and Slow. CoRR (2022)
Quang Pham, Chenghao Liu, Steven C. H. Hoi
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. CoRR (2022)
Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun
Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank. CoRR (2022)
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)
Quang Pham, Chenghao Liu, Steven C. H. Hoi
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. ICLR (2022)
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting. CoRR (2022)
Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun
LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank. NeurIPS (2022)
Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun
Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank. KDD (2022)
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 (2022)
Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang, Jianling Sun
On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks. WWW (2022)
Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie
An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
Learning Fast and Slow for Online Time Series Forecasting. CoRR (2022)
Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. CoRR (2022)
Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi
Node-wise Localization of Graph Neural Networks. IJCAI (2021)
Quang Pham, Chenghao Liu, Steven C. H. Hoi
DualNet: Continual Learning, Fast and Slow. CoRR (2021)
Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation. MICCAI (1) (2021)
Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye
Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects. MICCAI (1) (2021)
Chenghao Liu, Tao Lu, Zhiyong Cheng, Xin Wang, Jianling Sun, Steven C. H. Hoi
Discrete Listwise Collaborative Filtering for Fast Recommendation. SDM (2021)
Mouxiang Chen, Chenghao Liu, Jianling Sun, Steven C. H. Hoi
Adapting Interactional Observation Embedding for Counterfactual Learning to Rank. SIGIR (2021)
Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi
Node-wise Localization of Graph Neural Networks. CoRR (2021)
Quang Pham, Chenghao Liu, Steven C. H. Hoi
DualNet: Continual Learning, Fast and Slow. NeurIPS (2021)
Yongjun Chen, Jia Li, Chenghao Liu, Chenxi Li, Markus Anderle, Julian J. McAuley, Caiming Xiong
Modeling Dynamic Attributes for Next Basket Recommendation. CoRR (2021)
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 (2021)
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 (2021)
Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi
Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph. AAAI (2021)
Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
Contextual Transformation Networks for Online Continual Learning. ICLR (2021)
Chenghao Liu, Fei Zhu, Quan Liu, Yuchen Fu
Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification. IEEE CAA J. Autom. Sinica 8 (10) (2021)
Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation. CoRR (2021)
Lingbing Guo, Weiqing Wang, Zequn Sun, Chenghao Liu, Wei Hu
Decentralized Knowledge Graph Representation Learning. CoRR (2020)
Han Fu, Rui Wu, Chenghao Liu, Jianling Sun
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model. CoRR (2020)
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 (2020)
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)
Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi
Adaptive Task Sampling for Meta-learning. ECCV (18) (2020)
Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism. CoRR (2020)
Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi
Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling. CoRR (2020)
Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi
Adaptive Task Sampling for Meta-Learning. CoRR (2020)
Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng
MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (3) (2020)
Quang Pham, Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi
Bilevel Continual Learning. CoRR (2020)
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)
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)
Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CoRR (2020)
Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CIKM (2020)
Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie
A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation. CoRR (2020)
Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi
Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling. KDD (2020)
Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi
Compositional Coding for Collaborative Filtering. CoRR (2019)
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. CVPR (2019)
Jianwen Yin, Chenghao Liu, Jundong Li, BingTian Dai, Yun-chen Chen, Min Wu, Jianling Sun
Online Collaborative Filtering with Implicit Feedback. DASFAA (2) (2019)
Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu
Adaptive Unsupervised Feature Selection on Attributed Networks. KDD (2019)
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 (2019)
Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi
Discrete Social Recommendation. AAAI (2019)
Xin Wang, Wenwu Zhu, Chenghao Liu
Social Recommendation with Optimal Limited Attention. KDD (2019)
Xin Wang, Wenwu Zhu, Chenghao Liu
Semi-supervised Deep Quantization for Cross-modal Search. ACM Multimedia (2019)
Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu
Multi-level network embedding with boosted low-rank matrix approximation. ASONAM (2019)
Han Fu, Chenghao Liu, Jianling Sun
Reference Network for Neural Machine Translation. ACL (1) (2019)
Han Fu, Chenghao Liu, Jianling Sun
Reference Network for Neural Machine Translation. CoRR (2019)
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)
Chuyang Ye, Yu Qin, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Zhiwen Liu
Super-Resolved q-Space Deep Learning. MICCAI (3) (2019)
Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi
Compositional Coding for Collaborative Filtering. SIGIR (2019)
Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu
Graph Neural Networks with High-order Feature Interactions. CoRR (2019)
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)
Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng
MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. CoRR (2018)
Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi
Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points. AAAI (2018)
Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun
Locally Linear Factorization Machines. IJCAI (2017)

Chenghao Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chenghao Liu