Chenghao Liu - RankMe

172 papers A* 37A 8B 3C 1Misc 1Journal 106Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. ACM Comput. Surv. Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Shirui Pan, Qingsong Wen
2026	J	`jnl`	EIDOS: Latent-Space Predictive Learning for Time Series Foundation Models. CoRR Xinxing Zhou, Qingren Yao, Yiji Zhao, Chenghao Liu, Flora Salim, Xiaojie Yuan, Yanlong Wen, Ming Jin
2026	J	`jnl`	It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks. CoRR Zhongzheng Qiao, Sheng Pan, Anni Wang, Viktoriya Zhukova, Yong Liu, Xudong Jiang, Qingsong Wen, Mingsheng Long, Ming Jin, Chenghao Liu
2026	J	`jnl`	OATS: Online Data Augmentation for Time Series Foundation Models. CoRR Junwei Deng, Chang Xu, Jiaqi W. Ma, Ming Jin, Chenghao Liu, Jiang Bian
2026	A*	`conf`	TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action Models. AAAI Chenghao Liu, Jiachen Zhang, Chengxuan Li, Zhimu Zhou, Shixin Wu, Songfang Huang, Huiling Duan
2026	J	`jnl`	VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection. CoRR Yingyuan Yang, Tian Lan, Yifei Gao, Yimeng Lu, Wenjun He, Meng Wang, Chenghao Liu, Chen Zhang
2025	—	`conf`	A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization. NAACL (Long Papers) Haoxin Liu, Chenghao Liu, B. Aditya Prakash
2025	J	`jnl`	A Predictive Control Method Based on Neural Predictor and Soft Actor-Critic for Power Converters. IEEE Trans. Ind. Electron. Chenghao Liu, Jien Ma, Xing Liu, Lin Qiu, Wenjie Wu, Youtong Fang
2025	J	`jnl`	AXIS: Explainable Time Series Anomaly Detection with Large Language Models. CoRR Tian Lan, Hao Duong Le, Jinbo Li, Wenjun He, Meng Wang, Chenghao Liu, Chen Zhang
2025	J	`jnl`	Adaptive multi-graph contrastive learning for bundle recommendation. Neural Networks Qian Tao, Chenghao Liu, Yuhan Xia, Yong Xu, Lusi Li
2025	—	`conf`	Archives of Low-Illumination Image Enhancement Methods Based on Generative Adversarial Networks. ICVISP Wencheng Wang, Xiaowei Lan, Guodong Zheng, Chenghao Liu, Ruiguo Wang, Weikai He, Dongfeng Li, Muwei Jian
2025	J	`jnl`	Build a Good Human-Free Prompt Tuning: Jointly Pre-Trained Template and Verbalizer for Few-Shot Classification. IEEE Trans. Knowl. Data Eng. Mouxiang Chen, Han Fu, Chenghao Liu, Xiaoyun Joy Wang, Zhuo Li, Jianling Sun
2025	J	`jnl`	Cell-free DNA Fragmentomics Assay to Discriminate the Malignancy of Breast Nodules and Evaluate Treatment Response. Genom. Proteom. Bioinform. Jiaqi Liu, Yalun Li, Wanxiangfu Tang, Tianyi Qian, Lijun Dai, Ziqi Jia, Heng Cao, Chenghao Liu, Yuchen Liu, Yansong Huang, Jiang Wu, Dongxu Ma, Guangdong Qiao, Hua Bao, Shuang Chang, Dongqin Zhu, Shanshan Yang, Xuxiaochen Wu, Xue Wu, Hengyi Xu, Hongyan Chen, Yang Shao, Xiang Wang, Zhihua Liu, Jianzhong Su
2025	—	`conf`	David vs. Goliath: Cost-Efficient Financial QA via Cascaded Multi-Agent Reasoning. EMNLP (Findings) Chenghao Liu, Qian Liu, Ziqin Zhu, Hao Fei, Aniket Mahanti
2025	J	`jnl`	Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models. CoRR Xu Liu, Taha Aksu, Juncheng Liu, Qingsong Wen, Yuxuan Liang, Caiming Xiong, Silvio Savarese, Doyen Sahoo, Junnan Li, Chenghao Liu
2025	J	`jnl`	Enhancing Cryptocurrency Sentiment Analysis with Multimodal Features. CoRR Chenghao Liu, Aniket Mahanti, Ranesh Naha, Guanghao Wang, Erwann Sbai
2025	J	`jnl`	GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection. CoRR Qingxiang Liu, Chenghao Liu, Sheng Sun, Di Yao, Yuxuan Liang
2025	J	`jnl`	LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions. CoRR Haochen Xue, Chenghao Liu, Chong Zhang, Yuxuan Chen, Angxiao Zong, Zhaodong Wu, Yulong Li, Jiayi Liu, Kaiyu Liang, Zhixiang Lu, Ruobing Li, Jionglong Su
2025	J	`jnl`	MSNav: Zero-Shot Vision-and-Language Navigation with Dynamic Memory and LLM Spatial Reasoning. CoRR Chenghao Liu, Zhimu Zhou, Jiachen Zhang, Minghao Zhang, Songfang Huang, Huiling Duan
2025	J	`jnl`	Modelling forest canopy reflectance over sloping terrain with an extended GSV and PROSAIL Model. Int. J. Digit. Earth Siqi Li, Guyue Hu, Shaoda Li, Chenghao Liu, Xiao Wang, Ronghao Yang, Junxiang Tan
2025	J	`jnl`	Moirai 2.0: When Less Is More for Time Series Forecasting. CoRR Chenghao Liu, Taha Aksu, Juncheng Liu, Xu Liu, Hanshu Yan, Quang Pham, Silvio Savarese, Doyen Sahoo, Caiming Xiong, Junnan Li
2025	A*	`conf`	Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. ICML Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Junnan Li, Silvio Savarese, Caiming Xiong, Doyen Sahoo
2025	J	`jnl`	MolCLIP: A Molecular-Auxiliary CLIP Framework for Identifying Drug Mechanism of Action Based on Time-Lapsed Mitochondrial Images. CoRR Fengqian Pang, Chunyue Lei, Hongfei Zhao, Chenghao Liu, Zhiqiang Xing, Huafeng Wang, Chuyang Ye
2025	J	`jnl`	Multi-Scale Finetuning for Encoder-based Time Series Foundation Models. CoRR Zhongzheng Qiao, Chenghao Liu, Yiming Zhang, Ming Jin, Quang Pham, Qingsong Wen, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy
2025	J	`jnl`	Multi-relation graph contrastive learning with adaptive strategy for social recommendation. Neurocomputing Yuhan Xia, Yufei Tang, Bohang Yang, Chenghao Liu, Qian Tao
2025	J	`jnl`	Position: Empowering Time Series Reasoning with Multimodal LLMs. CoRR Yaxuan Kong, Yiyuan Yang, Shiyu Wang, Chenghao Liu, Yuxuan Liang, Ming Jin, Stefan Zohren, Dan Pei, Yan Liu, Qingsong Wen
2025	J	`jnl`	ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models. CoRR Bosong Huang, Ming Jin, Yuxuan Liang, Johan Barthelemy, Debo Cheng, Qingsong Wen, Chenghao Liu, Shirui Pan
2025	J	`jnl`	TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action Models. CoRR Chenghao Liu, Jiachen Zhang, Chengxuan Li, Zhimu Zhou, Shixin Wu, Songfang Huang, Huiling Duan
2025	J	`jnl`	The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting. CoRR Lefei Shen, Mouxiang Chen, Han Fu, Xiaoxue Ren, Xiaoyun Joy Wang, Jianling Sun, Zhuo Li, Chenghao Liu
2025	J	`jnl`	Theory of Mind Inspired Large Reasoning Language Model Improved Multi-agent Reinforcement Learning Algorithm for Robust and Adaptive Partner Modelling. Mach. Intell. Res. Xiyun Li, Tielin Zhang, Chenghao Liu, Shuang Xu, Bo Xu
2025	J	`jnl`	Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy. CoRR Tian Lan, Hao Duong Le, Jinbo Li, Wenjun He, Meng Wang, Chenghao Liu, Chen Zhang
2025	J	`jnl`	UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. Trans. Mach. Learn. Res. Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo
2025	—	`conf`	Unsupervised Brain Tumor Segmentation via Bi-Level Optimization Guided by Radiological Reports. DGM4MICCAI@MICCAI Peng Zhang, Haowen Pang, Xinru Zhang, Xin Gao, Chenghao Liu, Xiaoming Hong, Runze Jiang, Yaou Liu, Chuyang Ye
2025	J	`jnl`	VisionTS++: Cross-Modal Time Series Foundation Model with Continual Pre-trained Visual Backbones. CoRR Lefei Shen, Mouxiang Chen, Xu Liu, Han Fu, Xiaoxue Ren, Jianling Sun, Zhuo Li, Chenghao Liu
2025	A*	`conf`	VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters. ICML Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun, Chenghao Liu
2024	J	`jnl`	A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization. CoRR Haoxin Liu, Chenghao Liu, B. Aditya Prakash
2024	J	`jnl`	A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR 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
2024	J	`jnl`	Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques. CoRR Qiheng Mao, Zemin Liu, Chenghao Liu, Zhuo Li, Jianling Sun
2024	A*	`conf`	Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift. KDD Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu
2024	A*	`conf`	Characterizing ResNet's Universal Approximation Capability. ICML Chenghao Liu, Enming Liang, Minghua Chen
2024	J	`jnl`	CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition. CoRR 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
2024	J	`jnl`	Continual Learning, Fast and Slow. IEEE Trans. Pattern Anal. Mach. Intell. Quang Pham, Chenghao Liu, Steven C. H. Hoi
2024	J	`jnl`	Deep learning enables accurate brain tissue microstructure analysis based on clinically feasible diffusion magnetic resonance imaging. NeuroImage 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
2024	A*	`conf`	Full-Attention Driven Graph Contrastive Learning: with Effective Mutual Information Insight. WWW Long Li, Zemin Liu, Chenghao Liu, Jianling Sun
2024	J	`jnl`	GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation. CoRR Taha Aksu, Gerald Woo, Juncheng Liu, Xu Liu, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo
2024	A*	`conf`	Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank. ICML Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun
2024	J	`jnl`	Incremental Label Distribution Learning with Scalable Graph Convolutional Networks. CoRR Ziqi Jia, Xiaoyang Qu, Chenghao Liu, Jianzong Wang
2024	J	`jnl`	Large Language Models and Sentiment Analysis in Financial Markets: A Review, Datasets, and Case Study. IEEE Access Chenghao Liu, Arunkumar Arulappan, Ranesh Naha, Aniket Mahanti, Joarder Kamruzzaman, In-Ho Ra
2024	B	`conf`	Long Short-Term Reasoning Network with Theory of Mind for Efficient Multi-Agent Cooperation. IJCNN Xiyun Li, Tielin Zhang, Chenghao Liu, Linghui Meng, Bo Xu
2024	—	`conf`	MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network. ICPR (14) Chengzhi Liu, Zihong Luo, Zheng Tao, Chenghao Liu, Yitao Xu, Zile Huang
2024	J	`jnl`	MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network. CoRR Chengzhi Liu, Zheng Tao, Zihong Luo, Chenghao Liu
2024	J	`jnl`	Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. CoRR Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo
2024	—	`conf`	PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning. ACL (Findings) Zhisheng Lin, Han Fu, Chenghao Liu, Zhuo Li, Jianling Sun
2024	J	`jnl`	PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning. CoRR Zhisheng Lin, Han Fu, Chenghao Liu, Zhuo Li, Jianling Sun
2024	A*	`conf`	ReLU Network with Width d+O(1) Can Achieve Optimal Approximation Rate. ICML Chenghao Liu, Minghua Chen
2024	J	`jnl`	Refined Intelligent Landslide Identification Based on Multi-Source Information Fusion. Remote. Sens. Xiao Wang, Di Wang, Chenghao Liu, Mengmeng Zhang, Luting Xu, Tiegang Sun, Weile Li, Sizhi Cheng, Jianhui Dong
2024	J	`jnl`	Review of Lithium-Ion Battery Fault Features, Diagnosis Methods, and Diagnosis Procedures. IEEE Internet Things J. Jiahui Zhao, Mingyi Liu, Bin Zhang, Xiaolong Wang, Dawei Liu, Jianxing Wang, Panxing Bai, Chenghao Liu, Yue Sun, Yong Zhu
2024	A*	`conf`	Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. NeurIPS Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang
2024	J	`jnl`	Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. CoRR Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang
2024	J	`jnl`	UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. CoRR Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo
2024	A*	`conf`	Unified Training of Universal Time Series Forecasting Transformers. ICML Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo
2024	J	`jnl`	Unified Training of Universal Time Series Forecasting Transformers. CoRR Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo
2024	J	`jnl`	VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters. CoRR Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun, Chenghao Liu
2024	J	`jnl`	XForecast: Evaluating Natural Language Explanations for Time Series Forecasting. CoRR Taha Aksu, Chenghao Liu, Amrita Saha, Sarah Tan, Caiming Xiong, Doyen Sahoo
2023	J	`jnl`	A Novel Self-Learning Filters for Automatic Modulation Classification Based on Deep Residual Shrinking Networks. KSII Trans. Internet Inf. Syst. Ming Li, Xiaolin Zhang, Rongchen Sun, Zengmao Chen, Chenghao Liu
2023	J	`jnl`	AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges. CoRR Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Savarese, Steven C. H. Hoi
2023	J	`jnl`	Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift. CoRR Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu
2023	J	`jnl`	CarveMix: A simple data augmentation method for brain lesion segmentation. NeuroImage Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Zhizheng Zhuo, Yunyun Duan, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Yaou Liu, Chuyang Ye
2023	A*	`conf`	FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. IJCAI Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao
2023	J	`jnl`	FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. CoRR Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao
2023	A*	`conf`	HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer. WWW Qiheng Mao, Zemin Liu, Chenghao Liu, Jianling Sun
2023	J	`jnl`	HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer. CoRR Qiheng Mao, Zemin Liu, Chenghao Liu, Jianling Sun
2023	A*	`conf`	HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. EMNLP Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi
2023	J	`jnl`	HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. CoRR Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi
2023	J	`jnl`	Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank. CoRR Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun
2023	A*	`conf`	Learning Deep Time-index Models for Time Series Forecasting. ICML Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
2023	A*	`conf`	Learning Fast and Slow for Online Time Series Forecasting. ICLR Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
2023	J	`jnl`	LogAI: A Library for Log Analytics and Intelligence. CoRR Qian Cheng, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
2023	J	`jnl`	Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. 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
2023	J	`jnl`	Multihoming effect on the two-sided platform of second-hand cars. Comput. Ind. Eng. Zichen Zhang, Yuan Wang, Chenghao Liu
2023	Misc	`conf`	OTW: Optimal Transport Warping for Time Series. ICASSP Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
2023	J	`jnl`	OTW: Optimal Transport Warping for Time Series. CoRR Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
2023	J	`jnl`	Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain. CoRR Gerald Woo, Chenghao Liu, Akshat Kumar, Doyen Sahoo
2023	J	`jnl`	PyRCA: A Library for Metric-based Root Cause Analysis. CoRR Chenghao Liu, Wenzhuo Yang, Himanshu Mittal, Manpreet Singh, Doyen Sahoo, Steven C. H. Hoi
2023	J	`jnl`	Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data. CoRR 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
2023	J	`jnl`	ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt. CoRR Mouxiang Chen, Zemin Liu, Chenghao Liu, Jundong Li, Qiheng Mao, Jianling Sun
2023	J	`jnl`	Unsupervised Brain Tumor Segmentation with Image-based Prompts. CoRR Xinru Zhang, Ni Ou, Chenghao Liu, Zhizheng Zhuo, Yaou Liu, Chuyang Ye
2022	J	`jnl`	An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation. IEEE Trans. Knowl. Data Eng. Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie
2022	A*	`conf`	CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. ICLR Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
2022	J	`jnl`	CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. CoRR Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
2022	J	`jnl`	Continual Learning: Fast and Slow. CoRR Quang Pham, Chenghao Liu, Steven C. H. Hoi
2022	A*	`conf`	Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. ICLR Quang Pham, Chenghao Liu, Steven C. H. Hoi
2022	J	`jnl`	Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. CoRR Quang Pham, Chenghao Liu, Steven C. H. Hoi
2022	J	`jnl`	Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism. IEEE Trans. Multim. Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
2022	J	`jnl`	DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting. CoRR Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
2022	J	`jnl`	ETSformer: Exponential Smoothing Transformers for Time-series Forecasting. CoRR Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi
2022	A*	`conf`	LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank. NeurIPS Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun
2022	J	`jnl`	Learning Fast and Slow for Online Time Series Forecasting. CoRR Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
2022	J	`jnl`	Link Ecological and Social Composite Systems to Construct Sustainable Landscape Patterns: A New Framework Based on Ecosystem Service Flows. Remote. Sens. Shixi Cui, Zenglin Han, Xiaolu Yan, Xiuzhen Li, Wenzhen Zhao, Chenghao Liu, Xinyuan Li, Jingqiu Zhong
2022	A*	`conf`	On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks. WWW Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang, Jianling Sun
2022	A*	`conf`	Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank. KDD Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun
2022	J	`jnl`	Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank. CoRR Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun
2021	A*	`conf`	Adapting Interactional Observation Embedding for Counterfactual Learning to Rank. SIGIR Mouxiang Chen, Chenghao Liu, Jianling Sun, Steven C. H. Hoi
2021	—	`conf`	CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation. MICCAI (1) Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye
2021	J	`jnl`	CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation. CoRR Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye
2021	A*	`conf`	Contextual Transformation Networks for Online Continual Learning. ICLR Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi
2021	A	`conf`	Discrete Listwise Collaborative Filtering for Fast Recommendation. SDM Chenghao Liu, Tao Lu, Zhiyong Cheng, Xin Wang, Jianling Sun, Steven C. H. Hoi
2021	A*	`conf`	DualNet: Continual Learning, Fast and Slow. NeurIPS Quang Pham, Chenghao Liu, Steven C. H. Hoi
2021	J	`jnl`	DualNet: Continual Learning, Fast and Slow. CoRR Quang Pham, Chenghao Liu, Steven C. H. Hoi
2021	J	`jnl`	Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification. IEEE CAA J. Autom. Sinica Chenghao Liu, Fei Zhu, Quan Liu, Yuchen Fu
2021	—	`conf`	Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects. MICCAI (1) Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye
2021	J	`jnl`	Merlion: A Machine Learning Library for Time Series. CoRR 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
2021	J	`jnl`	Modeling Dynamic Attributes for Next Basket Recommendation. CoRR Yongjun Chen, Jia Li, Chenghao Liu, Chenxi Li, Markus Anderle, Julian J. McAuley, Caiming Xiong
2021	A*	`conf`	Node-wise Localization of Graph Neural Networks. IJCAI Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi
2021	J	`jnl`	Node-wise Localization of Graph Neural Networks. CoRR Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi
2021	A*	`conf`	Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph. AAAI Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi
2021	J	`jnl`	Super-Resolved q-Space deep learning with uncertainty quantification. Medical Image Anal. Yu Qin, Zhiwen Liu, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Chuyang Ye
2020	J	`jnl`	A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation. CoRR Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie
2020	J	`jnl`	Adaptive Task Sampling for Meta-Learning. CoRR Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi
2020	—	`conf`	Adaptive Task Sampling for Meta-learning. ECCV (18) Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi
2020	J	`jnl`	Bilevel Continual Learning. CoRR Quang Pham, Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi
2020	J	`jnl`	Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism. CoRR Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
2020	J	`jnl`	Decentralized Knowledge Graph Representation Learning. CoRR Lingbing Guo, Weiqing Wang, Zequn Sun, Chenghao Liu, Wei Hu
2020	A	`conf`	Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CIKM Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
2020	J	`jnl`	Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CoRR Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
2020	A*	`conf`	Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling. KDD Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi
2020	J	`jnl`	Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling. CoRR Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi
2020	A*	`conf`	MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model. CVPR Han Fu, Rui Wu, Chenghao Liu, Jianling Sun
2020	J	`jnl`	MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model. CoRR Han Fu, Rui Wu, Chenghao Liu, Jianling Sun
2020	J	`jnl`	SL IEEE ACM Trans. Comput. Biol. Bioinform. Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng
2020	—	`conf`	Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions. ISBI Chenghao Liu, Fengqian Pang, Yanlin Liu, Kongming Liang, Xiuli Li, Xiangzhu Zeng, Chuyang Ye
2020	—	`conf`	UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. EMNLP (1) Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi
2020	J	`jnl`	UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. CoRR Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi
2019	A*	`conf`	Adaptive Unsupervised Feature Selection on Attributed Networks. KDD Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu
2019	A*	`conf`	Compositional Coding for Collaborative Filtering. SIGIR Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi
2019	J	`jnl`	Compositional Coding for Collaborative Filtering. CoRR Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi
2019	—	`conf`	Demo: Monitoring Movement Dynamics of Robot Cars and Drones Using Smartphone's Built-in Sensors. DySPAN Yang Bai, Xin Yang, Chenghao Liu, Justin Wain, Ryan Wang, Jeffery Cheng, Chen Wang, Jian Liu, Yingying Chen
2019	A*	`conf`	Discrete Social Recommendation. AAAI Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi
2019	J	`jnl`	Graph Neural Networks with High-order Feature Interactions. CoRR Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu
2019	A*	`conf`	Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images. CVPR Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi
2019	J	`jnl`	Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images. CoRR Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi
2019	B	`conf`	Multi-level network embedding with boosted low-rank matrix approximation. ASONAM Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu
2019	—	`conf`	Online Collaborative Filtering with Implicit Feedback. DASFAA (2) Jianwen Yin, Chenghao Liu, Jundong Li, Bing Tian Dai, Yun-chen Chen, Min Wu, Jianling Sun
2019	—	`conf`	Reference Network for Neural Machine Translation. ACL (1) Han Fu, Chenghao Liu, Jianling Sun
2019	J	`jnl`	Reference Network for Neural Machine Translation. CoRR Han Fu, Chenghao Liu, Jianling Sun
2019	A	`conf`	Robust Factorization Machine: A Doubly Capped Norms Minimization. SDM Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi
2019	A*	`conf`	Semi-supervised Deep Quantization for Cross-modal Search. ACM Multimedia Xin Wang, Wenwu Zhu, Chenghao Liu
2019	A*	`conf`	Social Recommendation with Optimal Limited Attention. KDD Xin Wang, Wenwu Zhu, Chenghao Liu
2019	—	`conf`	Super-Resolved q-Space Deep Learning. MICCAI (3) Chuyang Ye, Yu Qin, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Zhiwen Liu
2018	J	`jnl`	SL CoRR Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng
2018	A*	`conf`	Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points. AAAI Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi
2017	J	`jnl`	Collaborative topic regression for online recommender systems: an online and Bayesian approach. Mach. Learn. Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun
2017	A	`conf`	Interactive Social Recommendation. CIKM Xin Wang, Steven C. H. Hoi, Chenghao Liu, Martin Ester
2017	A*	`conf`	Large Scale Kernel Methods for Online AUC Maximization. ICDM Yi Ding, Chenghao Liu, Peilin Zhao, Steven C. H. Hoi
2017	A*	`conf`	Locally Linear Factorization Machines. IJCAI Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun
2017	J	`jnl`	Malicious URL Detection using Machine Learning: A Survey. CoRR Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi
2017	J	`jnl`	SOL: A library for scalable online learning algorithms. Neurocomputing Yue Wu, Steven C. H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu
2017	J	`jnl`	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. Fang Liu, Wei Wei, Gaoyi Yang, Cunxin Wang, Xin Yang, Yabei Jin, Chenghao Liu, Fangjun Wang
2016	A*	`conf`	Online ARIMA Algorithms for Time Series Prediction. AAAI Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun
2016	A	`conf`	Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications. CIKM Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun, Ee-Peng Lim
2016	J	`jnl`	Online Bayesian Collaborative Topic Regression. CoRR Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun
2016	J	`jnl`	SOL: A Library for Scalable Online Learning Algorithms. CoRR Yue Wu, Steven C. H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu
2013	J	`jnl`	Client-Driven Joint Cache Management and Rate Adaptation for Dynamic Adaptive Streaming over HTTP. Int. J. Digit. Multim. Broadcast. Chenghao Liu, Miska M. Hannuksela, Moncef Gabbouj
2012	J	`jnl`	Rate adaptation for dynamic adaptive streaming over HTTP in content distribution network. Signal Process. Image Commun. Chenghao Liu, Imed Bouazizi, Miska M. Hannuksela, Moncef Gabbouj
2012	J	`jnl`	Steganography Integration Into a Low-Bit Rate Speech Codec. IEEE Trans. Inf. Forensics Secur. Yongfeng Huang, Chenghao Liu, Shanyu Tang, Sen Bai
2011	B	`conf`	Parallel Adaptive HTTP Media Streaming. ICCCN Chenghao Liu, Imed Bouazizi, Moncef Gabbouj
2011	A	`conf`	Rate adaptation for adaptive HTTP streaming. MMSys Chenghao Liu, Imed Bouazizi, Moncef Gabbouj
2011	J	`jnl`	Safety analysis of independent columns mounted on isolated bearing system. Int. J. Comput. Intell. Syst. Yu Dang, Chenghao Liu, Zhao Hong
2011	A	`conf`	Segment duration for rate adaptation of adaptive HTTP streaming. ICME Chenghao Liu, Imed Bouazizi, Moncef Gabbouj
2010	—	`conf`	Advanced Rate Adaption for Unicast Streaming of Scalable Video. ICC Chenghao Liu, Imed Bouazizi, Moncef Gabbouj
2010	A	`conf`	Multi-buffer based congestion control for multicast streaming of scalable video. ICME Chenghao Liu, Imed Bouazizi, Moncef Gabbouj
2008	C	`conf`	Evaluation of Error Resilience Mechanisms for 3G Conversational Video. ISM Jegadish Devadoss, Varun Singh, Jörg Ott, Chenghao Liu, Ye-Kui Wang, Igor D. D. Curcio