Juncheng Liu - RankMe

69 papers A* 8A 1B 1Misc 1Journal 43Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning. CoRR Zhiyuan Hu, Yunhai Hu, Juncheng Liu, Shuyue Stella Li, Yucheng Wang, Zhen Xu, See-Kiong Ng, Anh Tuan Luu, Xinxing Xu, Bryan Hooi, Cynthia Breazeal, Hae Won Park
2026	J	`jnl`	EvoClinician: A Self-Evolving Agent for Multi-Turn Medical Diagnosis via Test-Time Evolutionary Learning. CoRR Yufei He, Juncheng Liu, Zhiyuan Hu, Yulin Chen, Yue Liu, Yuan Sui, Yibo Li, Nuo Chen, Jun Hu, Bryan Hooi, Xinxing Xu, Jiang Bian
2026	J	`jnl`	GENSR: Symbolic Regression Based in Equation Generative Space. CoRR Qian Li, Yuxiao Hu, Juncheng Liu, Yuntian Chen
2025	J	`jnl`	Beyond Manuals and Tasks: Instance-Level Context Learning for LLM Agents. CoRR Kuntai Cai, Juncheng Liu, Xianglin Yang, Zhaojie Niu, Xiaokui Xiao, Xing Chen
2025	A	`conf`	Comprehensive Deadlock Prevention for GPU Collective Communication. EuroSys Lichen Pan, Juncheng Liu, Yongquan Fu, Jinhui Yuan, Rongkai Zhang, Pengze Li, Zhen Xiao
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`	EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems. CoRR Yufei He, Juncheng Liu, Yue Liu, Yibo Li, Tri Cao, Zhiyuan Hu, Xinxing Xu, Bryan Hooi
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`	Serving Large Language Models on Huawei CloudMatrix384. CoRR Pengfei Zuo, Huimin Lin, Junbo Deng, Nan Zou, Xingkun Yang, Yingyu Diao, Weifeng Gao, Ke Xu, Zhangyu Chen, Shirui Lu, Zhao Qiu, Peiyang Li, Xianyu Chang, Zhengzhong Yu, Fangzheng Miao, Jia Zheng, Ying Li, Yuan Feng, Bei Wang, Zaijian Zong, Mosong Zhou, Wenli Zhou, Houjiang Chen, Xingyu Liao, Yipeng Li, Wenxiao Zhang, Ping Zhu, Yinggang Wang, Chuanjie Xiao, Depeng Liang, Dong Cao, Juncheng Liu, Yongqiang Yang, Xiaolong Bai, Yi Li, Huaguo Xie, Huatao Wu, Zhibin Yu, Lv Chen, Hu Liu, Yujun Ding, Haipei Zhu, Jing Xia, Yi Xiong, Zhou Yu, Heng Liao
2025	J	`jnl`	TFGNet: Frequency-guided saliency detection for complex scenes. Appl. Soft Comput. Yi Wang, Ruili Wang, Juncheng Liu, Rui Xu, Tianzhu Wang, Feng Hou, Bin Liu, Na Lei
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
2024	—	`conf`	Analysis of Lifting Posture by Two Inertial Measurement Units and a Classification Model Based on a Convolutional Neural Network. BioRob Juncheng Liu, Xiaoran Yang, Jing-Chen Hong, Hiroyasu Iwata
2024	—	`conf`	EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs. DASFAA (6) Hewen Wang, Bryan Hooi, Dan He, Juncheng Liu, Xiaokui Xiao
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	J	`jnl`	Learning to explore by reinforcement over high-level options. Mach. Vis. Appl. Juncheng Liu, Brendan McCane, Steven Mills
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	A*	`conf`	Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao
2024	J	`jnl`	Self-Assembled TiN-Metal Nanocomposites Integrated on Flexible Mica Substrates towards Flexible Devices. Sensors Juncheng Liu, Yizhi Zhang, Hongyi Dou, Benson Kunhung Tsai, Abhijeet Choudhury, Haiyan Wang
2024	J	`jnl`	Swift: Expedited Failure Recovery for Large-Scale DNN Training. IEEE Trans. Parallel Distributed Syst. Yuchen Zhong, Guangming Sheng, Juncheng Liu, Jinhui Yuan, Chuan Wu
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
2023	J	`jnl`	Improved generalization performance of convolutional neural networks with LossDA. Appl. Intell. Juncheng Liu, Yili Zhao
2023	J	`jnl`	Location First Non-Maximum Suppression for Uncovered Muck Truck Detection. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Yuxiang Zhang, Dehua Liu, Chuanpeng Su, Juncheng Liu
2023	A*	`conf`	Node-wise Diffusion for Scalable Graph Learning. WWW Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao
2023	J	`jnl`	Node-wise Diffusion for Scalable Graph Learning. CoRR Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao
2023	J	`jnl`	OCCL: a Deadlock-free Library for GPU Collective Communication. CoRR Lichen Pan, Juncheng Liu, Jinhui Yuan, Rongkai Zhang, Pengze Li, Zhen Xiao
2023	J	`jnl`	PANE: scalable and effective attributed network embedding. VLDB J. Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu
2023	J	`jnl`	SWIFT: Expedited Failure Recovery for Large-scale DNN Training. CoRR Yuchen Zhong, Guangming Sheng, Juncheng Liu, Jinhui Yuan, Chuan Wu
2023	B	`conf`	Swift: Expedited Failure Recovery for Large-Scale DNN Training. PPoPP Yuchen Zhong, Guangming Sheng, Juncheng Liu, Jinhui Yuan, Chuan Wu
2022	A*	`conf`	A Fusion-Denoising Attack on InstaHide with Data Augmentation. AAAI Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi
2022	—	`conf`	Analysis of the Development Trend of Artificial Intelligence Technology Application in the Field of Sports-Based on Patent Measurement. HCI (22) Ti Hu, Jianghao Guo, Tao Zhang, Juncheng Liu, Xuezhang Sun, Zhaohe Chang
2022	—	`conf`	Dangling-Aware Entity Alignment with Mixed High-Order Proximities. NAACL-HLT (Findings) Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen
2022	J	`jnl`	Dangling-Aware Entity Alignment with Mixed High-Order Proximities. CoRR Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen
2022	J	`jnl`	EIGNN: Efficient Infinite-Depth Graph Neural Networks. CoRR Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
2022	—	`conf`	LSCALE: Latent Space Clustering-Based Active Learning for Node Classification. ECML/PKDD (1) Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao
2022	A*	`conf`	MGNNI: Multiscale Graph Neural Networks with Implicit Layers. NeurIPS Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
2022	J	`jnl`	MGNNI: Multiscale Graph Neural Networks with Implicit Layers. CoRR Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
2022	J	`jnl`	No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server. SIGMOD Rec. Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu
2022	J	`jnl`	RocNet: Recursive octree network for efficient 3D processing. Comput. Vis. Image Underst. Juncheng Liu, Steven Mills, Brendan McCane
2022	—	`conf`	Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. NAACL-HLT Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi
2022	J	`jnl`	Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. CoRR Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi
2022	J	`jnl`	UULPN: An ultra-lightweight network for human pose estimation based on unbiased data processing. Neurocomputing Wenming Wang, Kaixiang Zhang, Haopan Ren, Dejian Wei, Yanyan Gao, Juncheng Liu
2021	J	`jnl`	A Fusion-Denoising Attack on InstaHide with Data Augmentation. CoRR Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi
2021	A*	`conf`	EIGNN: Efficient Infinite-Depth Graph Neural Networks. NeurIPS Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
2021	J	`jnl`	Learning to Explore by Reinforcement over High-Level Options. CoRR Juncheng Liu, Brendan McCane, Steven Mills
2021	J	`jnl`	OneFlow: Redesign the Distributed Deep Learning Framework from Scratch. CoRR Jinhui Yuan, Xinqi Li, Cheng Cheng, Juncheng Liu, Ran Guo, Shenghang Cai, Chi Yao, Fei Yang, Xiaodong Yi, Chuan Wu, Haoran Zhang, Jie Zhao
2020	J	`jnl`	Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes. CoRR Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao
2020	A*	`conf`	NodeAug: Semi-Supervised Node Classification with Data Augmentation. KDD Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi
2020	—	`conf`	Research on the Influencing Factors of Customer Loyalty in Offline Supermarket under New Retail Model. ICMSS Yulu Fan, Jinchun Kou, Juncheng Liu
2020	—	`conf`	RocNet: Recursive Octree Network for Efficient 3D Deep Representation. 3DV Juncheng Liu, Steven Mills, Brendan McCane
2020	J	`jnl`	RocNet: Recursive Octree Network for Efficient 3D Deep Representation. CoRR Juncheng Liu, Steven Mills, Brendan McCane
2020	J	`jnl`	Scaling Attributed Network Embedding to Massive Graphs. CoRR Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick
2020	J	`jnl`	Scaling Attributed Network Embedding to Massive Graphs. Proc. VLDB Endow. Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick
2020	J	`jnl`	Sketch based modeling and editing via shape space exploration. Multim. Tools Appl. Juncheng Liu, Zhouhui Lian, Jianguo Xiao
2020	Misc	`conf`	Variational Autoencoder for 3D Voxel Compression. IVCNZ Juncheng Liu, Steven Mills, Brendan McCane
2019	J	`jnl`	Image-driven unsupervised 3D model co-segmentation. Vis. Comput. Juncheng Liu, Paul L. Rosin, Xianfang Sun, Jianguo Xiao, Zhouhui Lian
2019	—	`conf`	PrivStream: Enabling Privacy-Preserving Inferences on IoT Data Stream at the Edge. HPCC/SmartCity/DSS Dan Wang, Ju Ren, Chugui Xu, Juncheng Liu, Zhibo Wang, Yaoxue Zhang, Xuemin Shen
2019	J	`jnl`	Sketch-based interaction and modeling: where do we stand? Artif. Intell. Eng. Des. Anal. Manuf. Alexandra Bonnici, Alican Akman, Gabriel Calleja, Kenneth P. Camilleri, Patrick Fehling, Alfredo Ferreira, Florian Hermuth, Johann Habakuk Israel, Tom Landwehr, Juncheng Liu, Natasha M. J. Padfield, T. Metin Sezgin, Paul L. Rosin
2019	J	`jnl`	The Asynchronous Gimbal-Rotation-Based Calibration Method for Lever-Arm Errors of Two Rotational Inertial Navigation Systems. IEEE Access Qi Wu, Kui Li, Juncheng Liu
2018	J	`jnl`	An evaluation of canonical forms for non-rigid 3D shape retrieval. Graph. Model. David Pickup, Juncheng Liu, Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Zhi-Quan Cheng, Zhouhui Lian, Sipin Nie, Longcun Jin, Gil Shamai, Yusuf Sahillioglu, Ladislav Kavan
2018	—	`conf`	Multi-task Learning for Author Profiling with Hierarchical Features. WWW (Companion Volume) Zhile Jiang, Shuai Yu, Qiang Qu, Min Yang, Junyu Luo, Juncheng Liu
2017	—	`conf`	3D Mesh Unfolding via Semidefinite Programming. 3DOR@Eurographics Juncheng Liu, Zhouhui Lian, Jianguo Xiao
2017	—	`conf`	Auto-colorization of 3D models from images. SIGGRAPH Asia Technical Briefs Juncheng Liu, Zhouhui Lian, Jianguo Xiao
2017	A*	`conf`	Incremental Kernel Null Space Discriminant Analysis for Novelty Detection. CVPR Juncheng Liu, Zhouhui Lian, Yi Wang, Jianguo Xiao
2015	J	`jnl`	Online gesture-based interaction with visual oriental characters based on manifold learning. Signal Process. Yi Wang, Juncheng Liu, Xin Fan, Xiangjian He, Qi Jia, Renjie Gao
2015	—	`conf`	Sketch based modeling via manifold regularization. SIGGRAPH Asia Technical Briefs Juncheng Liu, Zhouhui Lian, Jie Feng, Bingfeng Zhou
2014	J	`jnl`	Real-time estimation of hand gestures based on manifold learning from monocular videos. Multim. Tools Appl. Yi Wang, Zhongxuan Luo, Juncheng Liu, Xin Fan, Haojie Li, Yunzhen Wu
2010	—	`conf`	Delay-dependent robust H∞ control of nonlinear uncertain time-delay systems. ICCA Miaoxin Wang, Jizhen Liu, Juncheng Liu
2004	—	`conf`	Development of Green and Clean? Reaction Media for Inorganic and Organic Nanomaterials. ICMENS Zameer Shervani, Yutaka Ikushima, Juncheng Liu