Ji Liu - RankMe

109 papers A* 21A 3B 1C 4Journal 67Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Systematic Review on Long-Tailed Learning. IEEE Trans. Neural Networks Learn. Syst. Chongsheng Zhang, George Almpanidis, Gaojuan Fan, Binquan Deng, Yanbo Zhang, Ji Liu, Aouaidjia Kamel, Paolo Soda, João Gama
2025	J	`jnl`	BizFinBench: A Business-Driven Real-World Financial Benchmark for Evaluating LLMs. CoRR Guilong Lu, Xuntao Guo, Rongjunchen Zhang, Wenqiao Zhu, Ji Liu
2025	A*	`conf`	CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning. EMNLP Wenqiao Zhu, Ji Liu, Rongjunchen Zhang, Haipang Wu, Yulun Zhang
2025	J	`jnl`	CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning. CoRR Wenqiao Zhu, Ji Liu, Rongjuncheng Zhang, Haipang Wu, Yulun Zhang
2025	J	`jnl`	Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout. CoRR Ji Liu, Beichen Ma, Qiaolin Yu, Ruoming Jin, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Haixun Wang, Dejing Dou, Patrick Valduriez
2025	J	`jnl`	Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout. ACM Trans. Knowl. Discov. Data Ji Liu, Beichen Ma, Qiaolin Yu, Ruoming Jin, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Haixun Wang, Dejing Dou, Patrick Valduriez
2025	J	`jnl`	Efficient Federated Learning with Timely Update Dissemination. CoRR Juncheng Jia, Ji Liu, Chao Huo, Yihui Shen, Yang Zhou, Huaiyu Dai, Dejing Dou
2025	J	`jnl`	Efficient federated learning with timely update dissemination. Knowl. Inf. Syst. Juncheng Jia, Ji Liu, Chao Huo, Yihui Shen, Yang Zhou, Huaiyu Dai, Dejing Dou
2025	J	`jnl`	Latent Diffusion Enhanced Rectangle Transformer for Hyperspectral Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. Miaoyu Li, Ying Fu, Tao Zhang, Ji Liu, Dejing Dou, Chenggang Yan, Yulun Zhang
2025	A*	`conf`	MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning. ACM Multimedia Ziliang Gan, Dong Zhang, Haohan Li, Yang Wu, Xueyuan Lin, Ji Liu, Haipang Wu, Chaoyou Fu, Zenglin Xu, Rongjunchen Zhang, Yong Dai
2025	A*	`conf`	NEXUS-O: An Omni-Perceptive and -Interactive Model for Language, Audio, and Vision. ACM Multimedia Che Liu, Yingji Zhang, Dong Zhang, Weijie Zhang, Chenggong Gong, Yu Lu, Shilin Zhou, Ziliang Gan, Ziao Wang, Haipang Wu, Ji Liu, André Freitas, Qifan Wang, Zenglin Xu, Rongjunchen Zhang, Yong Dai
2025	J	`jnl`	Nexus-O: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision. CoRR Che Liu, Yingji Zhang, Dong Zhang, Weijie Zhang, Chenggong Gong, Haohan Li, Yu Lu, Shilin Zhou, Yue Lu, Ziliang Gan, Ziao Wang, Junwei Liao, Haipang Wu, Ji Liu, André Freitas, Qifan Wang, Zenglin Xu, Rongjunchen Zhang, Yong Dai
2025	—	`conf`	SGDPO: Self-Guided Direct Preference Optimization for Language Model Alignment. ACL (Findings) Wenqiao Zhu, Ji Liu, Lulu Wang, Jun Wu, Yulun Zhang
2025	J	`jnl`	SGDPO: Self-Guided Direct Preference Optimization for Language Model Alignment. CoRR Wenqiao Zhu, Ji Liu, Lulu Wang, Jun Wu, Yulun Zhang
2025	J	`jnl`	Trustworthy federated learning: privacy, security, and beyond. Knowl. Inf. Syst. Chunlu Chen, Ji Liu, Haowen Tan, Xingjian Li, Kevin I-Kai Wang, Peng Li, Kouichi Sakurai, Dejing Dou
2024	J	`jnl`	A Systematic Review on Long-Tailed Learning. CoRR Chongsheng Zhang, George Almpanidis, Gaojuan Fan, Binquan Deng, Yanbo Zhang, Ji Liu, Aouaidjia Kamel, Paolo Soda, João Gama
2024	A	`conf`	AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. SDM Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
2024	J	`jnl`	Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data. CoRR Ji Liu, Juncheng Jia, Hong Zhang, Yuhui Yun, Leye Wang, Yang Zhou, Huaiyu Dai, Dejing Dou
2024	J	`jnl`	Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data. ACM Trans. Intell. Syst. Technol. Ji Liu, Juncheng Jia, Hong Zhang, Yuhui Yun, Leye Wang, Yang Zhou, Huaiyu Dai, Dejing Dou
2024	J	`jnl`	Efficient asynchronous federated learning with sparsification and quantization. Concurr. Comput. Pract. Exp. Juncheng Jia, Ji Liu, Chendi Zhou, Hao Tian, Mianxiong Dong, Dejing Dou
2024	J	`jnl`	Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning. CoRR Ji Liu, Chunlu Chen, Yu Li, Lin Sun, Yulun Song, Jingbo Zhou, Bo Jing, Dejing Dou
2024	J	`jnl`	Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning. Knowl. Inf. Syst. Ji Liu, Chunlu Chen, Yu Li, Lin Sun, Yulun Song, Jingbo Zhou, Bo Jing, Dejing Dou
2024	A*	`conf`	FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update. AAAI Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou
2024	A*	`conf`	Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. EMNLP Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou
2024	J	`jnl`	Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. CoRR Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou
2024	A*	`conf`	G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint). AAAI Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
2024	J	`jnl`	MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning. CoRR Ziliang Gan, Yu Lu, Dong Zhang, Haohan Li, Che Liu, Jian Liu, Ji Liu, Haipang Wu, Chaoyou Fu, Zenglin Xu, Rongjunchen Zhang, Yong Dai
2024	J	`jnl`	On mask-based image set desensitization with recognition support. Appl. Intell. Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou
2024	J	`jnl`	Trustworthy Federated Learning: Privacy, Security, and Beyond. CoRR Chunlu Chen, Ji Liu, Haowen Tan, Xingjian Li, Kevin I-Kai Wang, Peng Li, Kouichi Sakurai, Dejing Dou
2023	J	`jnl`	AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. CoRR Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
2023	J	`jnl`	Data Placement for Multi-Tenant Data Federation on the Cloud. IEEE Trans. Cloud Comput. Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou
2023	J	`jnl`	Distributed and Deep Vertical Federated Learning with Big Data. CoRR Ji Liu, Xuehai Zhou, Lei Mo, Shilei Ji, Yuan Liao, Zheng Li, Qin Gu, Dejing Dou
2023	J	`jnl`	Distributed and deep vertical federated learning with big data. Concurr. Comput. Pract. Exp. Ji Liu, Xuehai Zhou, Lei Mo, Shilei Ji, Yuan Liao, Zheng Li, Qin Gu, Dejing Dou
2023	J	`jnl`	Efficient Asynchronous Federated Learning with Sparsification and Quantization. CoRR Juncheng Jia, Ji Liu, Chendi Zhou, Hao Tian, Mianxiong Dong, Dejing Dou
2023	A	`conf`	FT-topo: Architecture-Driven Folded-Triangle Partitioning for Communication-efficient Graph Processing. ICS Xinbiao Gan, Guang Wu, Ruigeng Zeng, Jiaqi Si, Ji Liu, Daxiang Dong, Chunye Gong, Cong Liu, Tiejun Li
2023	A*	`conf`	Fast Federated Machine Unlearning with Nonlinear Functional Theory. ICML Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan
2023	J	`jnl`	FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update. CoRR Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou
2023	A*	`conf`	Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. EMNLP Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou
2023	J	`jnl`	Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. CoRR Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou
2023	J	`jnl`	G-LIME: Statistical learning for local interpretations of deep neural networks using global priors. Artif. Intell. Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
2023	J	`jnl`	HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments. Future Gener. Comput. Syst. Ji Liu, Zhihua Wu, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dianhai Yu, Yanjun Ma, Feng Zhao, Dejing Dou
2023	A*	`conf`	LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising. CVPR Zichun Wang, Ying Fu, Ji Liu, Yulun Zhang
2023	J	`jnl`	LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising. CoRR Zichun Wang, Ying Fu, Ji Liu, Yulun Zhang
2023	J	`jnl`	Large-scale knowledge distillation with elastic heterogeneous computing resources. Concurr. Comput. Pract. Exp. Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
2023	J	`jnl`	Multi-Job Intelligent Scheduling With Cross-Device Federated Learning. IEEE Trans. Parallel Distributed Syst. Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
2023	A*	`conf`	Multi-Temporal Relationship Inference in Urban Areas. KDD Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong
2023	J	`jnl`	Multi-Temporal Relationship Inference in Urban Areas. CoRR Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong
2023	A*	`conf`	Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism. ICDE Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou
2023	J	`jnl`	On Mask-based Image Set Desensitization with Recognition Support. CoRR Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou
2023	C	`conf`	Path Planning Based on Traffic Flow Prediction for Vehicle Scheduling. ICCC Yiming Zhao, Lei Mo, Ji Liu
2023	A*	`conf`	Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction. ICCV Miaoyu Li, Ying Fu, Ji Liu, Yulun Zhang
2023	J	`jnl`	Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction. CoRR Miaoyu Li, Ying Fu, Ji Liu, Yulun Zhang
2023	A*	`conf`	Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data. AAAI Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu
2023	A*	`conf`	Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. CVPR Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou
2023	J	`jnl`	Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. CoRR Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou
2022	A*	`conf`	Accelerated Federated Learning with Decoupled Adaptive Optimization. ICML Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou
2022	J	`jnl`	Accelerated Federated Learning with Decoupled Adaptive Optimization. CoRR Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou
2022	J	`jnl`	Character-Level Street View Text Spotting Based on Deep Multisegmentation Network for Smarter Autonomous Driving. IEEE Trans. Artif. Intell. Chongsheng Zhang, Yuefeng Tao, Kai Du, Weiping Ding, Bin Wang, Ji Liu, Wei Wang
2022	A*	`conf`	Efficient Device Scheduling with Multi-Job Federated Learning. AAAI Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
2022	A	`conf`	Energy Efficient, Real-time and Reliable Task Deployment on NoC-based Multicores with DVFS. DATE Lei Mo, Qi Zhou, Angeliki Kritikakou, Ji Liu
2022	A*	`conf`	FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. IJCAI Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou
2022	J	`jnl`	FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. CoRR Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou
2022	B	`conf`	FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. ICPP Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou
2022	J	`jnl`	FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. CoRR Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou
2022	A*	`conf`	Federated Fingerprint Learning with Heterogeneous Architectures. ICDM Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou
2022	J	`jnl`	From distributed machine learning to federated learning: a survey. Knowl. Inf. Syst. Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
2022	J	`jnl`	Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond. Knowl. Inf. Syst. Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
2022	J	`jnl`	Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks. ACM Trans. Knowl. Discov. Data Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou
2022	J	`jnl`	Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources. CoRR Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
2022	J	`jnl`	Multi-Job Intelligent Scheduling with Cross-Device Federated Learning. CoRR Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
2022	J	`jnl`	Two-Phase Scheduling for Efficient Vehicle Sharing. IEEE Trans. Intell. Transp. Syst. Ji Liu, Carlyna Bondiombouy, Lei Mo, Patrick Valduriez
2021	J	`jnl`	AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow. CoRR Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou
2021	J	`jnl`	AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow. Mach. Learn. Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou
2021	—	`conf`	An Investigation of Containment Measure Implementation and Public Responses to the COVID-19 Pandemic in Mainland China. ICDH Ji Liu, Haoyi Xiong, Xiakai Wang, Jizhou Huang, Qiaojun Li, Tongtong Huang, Siyu Huang, Haifeng Wang, Dejing Dou
2021	A*	`conf`	C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak. AAAI Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou
2021	J	`jnl`	Data Placement for Multi-Tenant Data Federation on the Cloud. CoRR Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou
2021	J	`jnl`	Efficient Device Scheduling with Multi-Job Federated Learning. CoRR Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
2021	—	`conf`	Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources. Euro-Par Workshops Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou
2021	C	`conf`	Evaluation and Optimization of learning-based DNS over HTTPS Traffic Classification. ISNCC Yue Li, Abdulhalim Dandoush, Ji Liu
2021	J	`jnl`	From Distributed Machine Learning to Federated Learning: A Survey. CoRR Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
2021	J	`jnl`	HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments. CoRR Ji Liu, Zhihua Wu, Dianhai Yu, Yanjun Ma, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dejing Dou
2021	J	`jnl`	Improving Adversarial Robustness via Attention and Adversarial Logit Pairing. Frontiers Artif. Intell. Xingjian Li, Dou Goodman, Ji Liu, Tao Wei, Dejing Dou
2021	J	`jnl`	Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond. CoRR Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
2021	A*	`conf`	MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. KDD Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
2021	J	`jnl`	MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. CoRR Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
2021	A*	`conf`	Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. NeurIPS Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou
2020	—	`conf`	An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China. IEEE BigData Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang
2020	J	`jnl`	An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China. CoRR Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang
2020	J	`jnl`	C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak. CoRR Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou
2020	J	`jnl`	Parallel computation of PDFs on big spatial data using Spark. Distributed Parallel Databases Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez
2020	—	`conf`	Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud. IEEE BigData Qi Kang, Ji Liu, Sijia Yang, Haoyi Xiong, Haozhe An, Xingjian Li, Zhi Feng, Licheng Wang, Dejing Dou
2020	J	`jnl`	SUQ2: Uncertainty Quantification Queries over Large Spatio-temporal Simulations. IEEE Data Eng. Bull. Noel Moreno Lemus, Fábio Porto, Yania Molina Souto, Rafael S. Pereira, Ji Liu, Esther Pacciti, Patrick Valduriez
2019	—	`book`	Data-Intensive Workflow Management: For Clouds and Data-Intensive and Scalable Computing Environments Data-Intensive Workflow Management Daniel C. M. de Oliveira, Ji Liu, Esther Pacitti
2019	J	`jnl`	Efficient Scheduling of Scientific Workflows Using Hot Metadata in a Multisite Cloud. IEEE Trans. Knowl. Data Eng. Ji Liu, Luis Pineda-Morales, Esther Pacitti, Alexandru Costan, Patrick Valduriez, Gabriel Antoniu, Marta Mattoso
2019	J	`jnl`	Improving Adversarial Robustness via Attention and Adversarial Logit Pairing. CoRR Dou Goodman, Xingjian Li, Ji Liu, Dejing Dou, Tao Wei
2018	J	`jnl`	A survey of scheduling frameworks in big data systems. Int. J. Cloud Comput. Ji Liu, Esther Pacitti, Patrick Valduriez
2018	—	`conf`	Computation of PDFs on Big Spatial Data: Problem & Architecture. LADaS@VLDB Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez
2018	J	`jnl`	Parallel Computation of PDFs on Big Spatial Data Using Spark. CoRR Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez
2018	—	`conf`	Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. LADaS@VLDB Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José J. Camata, Alvaro L. G. A. Coutinho, Daniel Gaspar, Noel Moreno Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabrício Nogueira da Silva, Vítor Silva, Renan Souza, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Dennis E. Shasha
2017	J	`jnl`	Scientific Workflow Scheduling with Provenance Data in a Multisite Cloud. Trans. Large Scale Data Knowl. Centered Syst. Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
2016	—	`conf`	Managing hot metadata for scientific workflows on multisite clouds. IEEE BigData Luis Pineda-Morales, Ji Liu, Alexandru Costan, Esther Pacitti, Gabriel Antoniu, Patrick Valduriez, Marta Mattoso
2016	J	`jnl`	Multi-objective scheduling of Scientific Workflows in multisite clouds. Future Gener. Comput. Syst. Ji Liu, Esther Pacitti, Patrick Valduriez, Daniel de Oliveira, Marta Mattoso
2016	—	`—`	Multisite Management of Scientific Workflows in the Cloud. (Gestion multisite de workflows scientifiques dans le cloud). Ji Liu
2016	—	`conf`	Scientific Workflow Scheduling with Provenance Support in Multisite Cloud. VECPAR Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
2015	J	`jnl`	A Survey of Data-Intensive Scientific Workflow Management. J. Grid Comput. Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
2014	—	`conf`	Scientific Workflow Partitioning in Multisite Cloud. Euro-Par Workshops (1) Ji Liu, Vítor Silva, Esther Pacitti, Patrick Valduriez, Marta Mattoso
2012	—	`conf`	Dig-event: let's socialize around events. CSCW (Companion) Zhenzhen Zhao, Ji Liu, Noël Crespi
2011	C	`conf`	Mashup services to daily activities: end-user perspective in designing a consumer mashups. iiWAS Zhenzhen Zhao, Sirsha Bhattarai, Ji Liu, Noël Crespi
2011	C	`conf`	The design of activity-oriented social networking: Dig-Event. iiWAS Zhenzhen Zhao, Ji Liu, Noël Crespi