Kuan Liu

47 papers A* 4A 2B 2Misc 3Journal 28Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A conf
Auditability and the Landscape of Distance to Multicalibration.
ITCS
Nathan Derhake, Siddartha Devic, Dutch Hansen, Kuan Liu, Vatsal Sharan
2026 J jnl
Exploring the AI Obedience: Why is Generating a Pure Color Image Harder than CyberPunk?
CoRR
Hongyu Li, Kuan Liu, Yuan Chen, Juntao Hu, Huimin Lu, Guanjie Chen, Xue Liu, Guangming Lu, Hong Huang
2025 B conf
A Hybrid Learning and Optimization Framework for Reactive Whole-Body Motion Planning of Mobile Manipulators.
SMC
Chenyu Zhang, Shiying Sun, Kuan Liu, Chuanbao Zhou, Xiaoguang Zhao, Min Tan, Yanlong Huang
2025 J jnl
A Reactive Framework for Whole-Body Motion Planning of Mobile Manipulators Combining Reinforcement Learning and SDF-Constrained Quadratic Programmi.
CoRR
Chenyu Zhang, Shiying Sun, Kuan Liu, Chuanbao Zhou, Xiaoguang Zhao, Min Tan, Yanlong Huang
2025 J jnl
Auditability and the Landscape of Distance to Multicalibration.
CoRR
Nathan Derhake, Siddartha Devic, Dutch Hansen, Kuan Liu, Vatsal Sharan
2025 B conf
Crowd-Aware Robot Navigation for Scenario Generalization via Deep Reinforcement Learning and Knowledge Distillation.
IJCNN
Chuanbao Zhou, Shiying Sun, Xingyuan Gao, Chenyu Zhang, Kuan Liu, Xiaoguang Zhao, Min Tan
2025 A* conf
Enhancing Cross-Domain Recommendation with Plug-In Contrastive Representations from Large Language Models.
SIGIR
Ke Wang, Ji Zhang, Kuan Liu
2025 A* conf
Kamino: Efficient VM Allocation at Scale with Latency-Driven Cache-Aware Scheduling.
OSDI
David Domingo, Hugo Barbalho, Marco Molinaro, Kuan Liu, Abhisek Pan, David Dion, Thomas Moscibroda, Sudarsun Kannan, Ishai Menache
2025 A* conf
LLM-Grounded Diffusion for Cross-Domain Recommendation.
ACM Multimedia
Kuan Liu, Ke Wang, Ji Zhang, Gang Zhou
2025 J jnl
Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers.
CoRR
Kuan Liu, Zongyuan Ying, Jie Jin, Dongyan Li, Ping Huang, Wenjian Wu, Zhe Chen, Jin Qi, Yong Lu, Lianfu Deng, Bo Chen
2025 J jnl
TLARDA: Threshold Label-Aggregating Remote Data Auditing in Decentralized Environment.
IEEE Trans. Inf. Forensics Secur.
Kuan Liu, Jianting Ning, Pengfei Wu, Shengmin Xu, Rongmao Chen
2024 Misc conf
Axis Order Invariance Learned from Point Clouds.
ICASSP
Kuan Liu, Yanmin Zhu, Zhaobo Wang, Ke Wang, Gang Zhou
2024 J jnl
Distributed Vibration Sensing Based on a Forward Transmission Polarization-Generated Carrier.
Sensors
Ming Chen, Xing Rao, Kuan Liu, Yuhang Wang, Shuqing Chen, Lin Xu, Rendong Xu, George Y. Chen, Yiping Wang
2024 J jnl
Improved Lightweight Head Detection Based on GhostNet-SSD.
Neural Process. Lett.
Hongtao Hou, Mingzhen Guo, Wei Wang, Kuan Liu, Zijiang Luo
2024 J jnl
JPMDP: Joint base placement and multi-configuration path planning for 3D surface disinfection with a UV-C robotic system.
Robotics Auton. Syst.
Chenyu Zhang, Haohao Qin, Shiying Sun, Yi Pan, Kuan Liu, Tao Li, Xiaoguang Zhao
2024 J jnl
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation.
ACM Trans. Inf. Syst.
Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Kuan Liu, Peibo Ma
2024 Misc conf
Rethinking Normals: Direction Guided Point Cloud Recognition.
ICASSP
Kuan Liu, Yanmin Zhu, Zhaobo Wang, Ke Wang, Gang Zhou
2024 — conf
Text Information Mining in Cyberspace: An Information Extraction Method Based on T5 and KeyBERT.
DSC
Kuan Liu, Yumei Li, Yuanhua Qi, Ning Qi, Mengran Zhai
2022 — conf
Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation.
DASFAA (2)
Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang, Kuan Liu
2021 J jnl
Network Inference from Gene Expression Data with Distance Correlation and Network Topology Centrality.
Algorithms
Kuan Liu, Haiyuan Liu, Dongyan Sun, Lei Zhang
2021 — conf
Research on optimization of crop planting area estimation from remote sensing data.
Agro-Geoinformatics
Xiangsheng Yi, Zhifeng Shi, Hu Zhao, Ye Fu, Shangjie Ma, Kuan Liu
2021 J jnl
Review of Optical Humidity Sensors.
Sensors
Xing Rao, Lin Zhao, Lukui Xu, Yuhang Wang, Kuan Liu, Ying Wang, George Y. Chen, Tongyu Liu, Yiping Wang
2021 J jnl
The Improved A* Obstacle Avoidance Algorithm for the Plant Protection UAV with Millimeter Wave Radar and Monocular Camera Data Fusion.
Remote. Sens.
Xin Huang, Xiaoya Dong, Jing Ma, Kuan Liu, Shibbir Ahmed, Jinlong Lin, Baijing Qiu
2019 J jnl
Escaping the curse of dimensionality in similarity learning: Efficient Frank-Wolfe algorithm and generalization bounds.
Neurocomputing
Kuan Liu, Aurélien Bellet
2019 J jnl
Kernel Approximation Methods for Speech Recognition.
J. Mach. Learn. Res.
Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel Hsu, Brian Kingsbury, Michael Picheny, Fei Sha
2019 J jnl
Linear Power Flow Calculation of Distribution Networks With Distributed Generation.
IEEE Access
Kuan Liu, Chun Wang, Weizhang Wang, Yujie Chen, Huicheng Wu
2018 A* conf
A Batch Learning Framework for Scalable Personalized Ranking.
AAAI
Kuan Liu, Prem Natarajan
2018 J jnl
A Modified Single-Phase Transformerless Y-Source PV Grid-Connected Inverter.
IEEE Access
Hongpeng Liu, Yan Ran, Kuan Liu, Wei Wang, Dianguo Xu
2018 J jnl
A Sequential Embedding Approach for Item Recommendation with Heterogeneous Attributes.
CoRR
Kuan Liu, Xing Shi, Prem Natarajan
2018 — conf
An Improved Y-Source Inverter with Continuous Input Current.
ISIE
Hongpeng Liu, Zichao Zhou, Kuan Liu, Wei Wang
2018 J jnl
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds.
CoRR
Kuan Liu, Aurélien Bellet
2018 J jnl
Learn to Combine Modalities in Multimodal Deep Learning.
CoRR
Kuan Liu, Yanen Li, Ning Xu, Prem Natarajan
2017 J jnl
A Batch Learning Framework for Scalable Personalized Ranking.
CoRR
Kuan Liu, Prem Natarajan
2017 J jnl
Kernel Approximation Methods for Speech Recognition.
CoRR
Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel J. Hsu, Brian Kingsbury, Michael Picheny, Fei Sha
2017 — conf
Sequential Heterogeneous Attribute Embedding for Item Recommendation.
ICDM Workshops
Kuan Liu, Xing Shi, Prem Natarajan
2017 — conf
WMRB: Learning to Rank in a Scalable Batch Training Approach.
RecSys Posters
Kuan Liu, Prem Natarajan
2017 J jnl
WMRB: Learning to Rank in a Scalable Batch Training Approach.
CoRR
Kuan Liu, Prem Natarajan
2016 J jnl
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition.
CoRR
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2016 Misc conf
A comparison between deep neural nets and kernel acoustic models for speech recognition.
ICASSP
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2016 J jnl
Temporal Learning and Sequence Modeling for a Job Recommender System.
CoRR
Kuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan
2016 — conf
Temporal learning and sequence modeling for a job recommender system.
RecSys Challenge
Kuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan
2015 J jnl
A novel temporal-spatial variable scale algorithm for detecting multiple moving objects.
IEEE Trans. Aerosp. Electron. Syst.
Tianxu Zhang, Gang Zhou, Chao Zhang, Gaofei Li, Jianchong Chen, Kuan Liu
2015 J jnl
Effects of Carbon Emission Taxes on Transportation Mode Selections and Social Welfare.
IEEE Trans. Syst. Man Cybern. Syst.
Mingzheng Wang, Kuan Liu, Tsan-Ming Choi, Xiaohang Yue
2015 A conf
Similarity Learning for High-Dimensional Sparse Data.
AISTATS
Kuan Liu, Aurélien Bellet, Fei Sha
2014 J jnl
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets.
CoRR
Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2014 J jnl
Similarity Learning for High-Dimensional Sparse Data.
CoRR
Kuan Liu, Aurélien Bellet, Fei Sha
2013 — conf
Similarity Component Analysis.
NIPS
Soravit Changpinyo, Kuan Liu, Fei Sha