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Xue (Steve) Liu
Xue Liu 0001
Person information
- affiliation: McGill University, School of Computer Science, Montreal, QC, Canada
- affiliation: University of Nebraska Lincoln, Department of Computer Science & Engineering, NE, USA
Other persons with the same name
- Xue Liu — disambiguation page
- Xue Liu 0002 — Shanghai Jiao Tong University, School of Life Sciences and Biotechnology, China
- Xue Liu 0003 — Northeastern University, School of Computer Science and Engineering, Shenyang, China
- Xue Liu 0004 — Samsung AI Center Montreal, QC, Canada
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2020 – today
- 2024
- [j170]Tim Tianyi Yang, Tom Tianze Yang, Andrew Liu, Na An, Shaoshan Liu, Xue Liu:
AICOM-MP: an AI-based monkeypox detector for resource-constrained environments. Connect. Sci. 36(1) (2024) - [j169]Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou:
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. Neurocomputing 574: 127219 (2024) - [j168]Haizhou Du, Chengdong Ni, Chaoqian Cheng, Qiao Xiang, Xi Chen, Xue Liu:
FedSwarm: An Adaptive Federated Learning Framework for Scalable AIoT. IEEE Internet Things J. 11(5): 8268-8287 (2024) - [j167]Jie Tang, Yong Liu, Bo Yu, Xue (Steve) Liu:
3-D Line Matching Network Based on Matching Existence Guidance and Knowledge Distillation. IEEE Internet Things J. 11(20): 33418-33438 (2024) - [j166]Wenjia Ma, Jianrong Li, Shaojin Liu, Yan Han, Xue Liu, Zhiqian Wang, Changhong Jiang:
An Autocollimator Axial Measurement Method Based on the Strapdown Inertial Navigation System. Sensors 24(8): 2590 (2024) - [j165]Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Bowei He, Bhaskar Mitra, Xue Liu:
Result Diversification in Search and Recommendation: A Survey. IEEE Trans. Knowl. Data Eng. 36(10): 5354-5373 (2024) - [j164]Junqin Huang, Linghe Kong, Long Cheng, Hong-Ning Dai, Meikang Qiu, Guihai Chen, Xue (Steve) Liu, Gang Huang:
BlockSense: Towards Trustworthy Mobile Crowdsensing via Proof-of-Data Blockchain. IEEE Trans. Mob. Comput. 23(2): 1016-1033 (2024) - [j163]Xingrui Yi, Jianqiang Li, Yutong Liu, Linghe Kong, Ying Shao, Guihai Chen, Xue Liu, Shahid Mumtaz, Joel J. P. C. Rodrigues:
ArguteDUB: Deep Learning Based Distributed Uplink Beamforming in 6G-Based IoV. IEEE Trans. Mob. Comput. 23(4): 2551-2565 (2024) - [j162]Yili Jin, Wenyi Morty Zhang, Zihan Xu, Fangxin Wang, Xue (Steve) Liu:
Privacy-Preserving Gaze-Assisted Immersive Video Streaming. IEEE Trans. Mob. Comput. 23(12): 15098-15113 (2024) - [c233]Haoyu Liu, Siyong Huang, Shaoxiang Qin, Tianyi Yang, Tianze Yang, Qiao Xiang, Xue Liu:
Keep Your Paths Free: Toward Scalable Learning-Based Traffic Engineering. APNet 2024: 189-191 - [c232]Xiaoshan Huang, Haolun Wu, Xue Liu, Susanne P. Lajoie:
Examining the Role of Peer Acknowledgements on Social Annotations: Unraveling the Psychological Underpinnings. CHI 2024: 488:1-488:9 - [c231]Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma:
Collaborative Performance Prediction for Large Language Models. EMNLP 2024: 2576-2596 - [c230]Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Boyu Wang, Jun Yan, Xue Liu:
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation. ICLR 2024 - [c229]Shangyu Wu, Ying Xiong, Yufei Cui, Xue Liu, Buzhou Tang, Tei-Wei Kuo, Chun Jason Xue:
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion. ICLR 2024 - [c228]Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu:
Think Before You Act: Decision Transformers with Working Memory. ICML 2024 - [c227]Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan:
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. ICML 2024 - [c226]Rongrong Wang, Duc Van Le, Jikun Kang, Rui Tan, Xue Liu:
Incentive Temperature Control for Green Colocation Data Centers via Reinforcement Learning. IWQoS 2024: 1-6 - [c225]Yuxin Wang, Haoyu Liu, Haohao Song, Siyong Huang, Shaoxiang Qin, Yutong Liu, Qiao Xiang, Linghe Kong, Geng Li, Jiwu Shu, Xue Liu:
Peering the Edge: Enabling Low-Latency Interdomain Edge Communication via Collaborative Transmission. IWQoS 2024: 1-6 - [c224]Baoshen Guo, Xining Song, Shuai Wang, Wei Gong, Tian He, Xue Liu:
Multi-task Conditional Attention Network for Conversion Prediction in Logistics Advertising. KDD 2024: 5028-5037 - [c223]Yili Jin, Xize Duan, Fangxin Wang, Xue Liu:
HeadsetOff: Enabling Photorealistic Video Conferencing on Economical VR Headsets. ACM Multimedia 2024: 7928-7936 - [c222]Junqin Huang, Linghe Kong, Guanjie Cheng, Qiao Xiang, Guihai Chen, Gang Huang, Xue Liu:
Advancing Web 3.0: Making Smart Contracts Smarter on Blockchain. WWW 2024: 1549-1560 - [c221]Shuhao Zheng, Zonglun Li, Junliang Luo, Ziyue Xin, Xue Liu:
IDEA-DAC: Integrity-Driven Editing for Accountable Decentralized Anonymous Credentials via ZK-JSON. WWW 2024: 1868-1879 - [i73]Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou:
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. CoRR abs/2401.00272 (2024) - [i72]Shangyu Wu, Ying Xiong, Yufei Cui, Xue Liu, Buzhou Tang, Tei-Wei Kuo, Chun Jason Xue:
Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion. CoRR abs/2401.02993 (2024) - [i71]Xiaoshan Huang, Haolun Wu, Xue Liu, Susanne P. Lajoie:
Examining the Role of Peer Acknowledgements on Social Annotations: Unraveling the Psychological Underpinnings. CoRR abs/2401.12956 (2024) - [i70]Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra:
Structured Entity Extraction Using Large Language Models. CoRR abs/2402.04437 (2024) - [i69]Tom Tianze Yang, Tim Tianyi Yang, Shaoshan Liu, Fuyuan Lyu, Xue Liu:
ICE-SEARCH: A Language Model-Driven Feature Selection Approach. CoRR abs/2402.18609 (2024) - [i68]Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan:
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. CoRR abs/2405.08886 (2024) - [i67]Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Zixuan Li, Jianmo Li, James J. Clark, Xue Liu:
Design Editing for Offline Model-based Optimization. CoRR abs/2405.13964 (2024) - [i66]Lianming Huang, Shangyu Wu, Yufei Cui, Ying Xiong, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue:
RAEE: A Training-Free Retrieval-Augmented Early Exiting Framework for Efficient Inference. CoRR abs/2405.15198 (2024) - [i65]Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma:
Collaborative Performance Prediction for Large Language Models. CoRR abs/2407.01300 (2024) - [i64]Shangyu Wu, Ying Xiong, Yufei Cui, Haolun Wu, Can Chen, Ye Yuan, Lianming Huang, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue:
Retrieval-Augmented Generation for Natural Language Processing: A Survey. CoRR abs/2407.13193 (2024) - [i63]Yili Jin, Xize Duan, Fangxin Wang, Xue Liu:
HeadsetOff: Enabling Photorealistic Video Conferencing on Economical VR Headsets. CoRR abs/2407.19988 (2024) - [i62]Chengming Hu, Hao Zhou, Di Wu, Xi Chen, Jun Yan, Xue Liu:
Self-Refined Generative Foundation Models for Wireless Traffic Prediction. CoRR abs/2408.10390 (2024) - [i61]Shiwei Li, Zhuoqi Hu, Fuyuan Lyu, Xing Tang, Haozhao Wang, Shijie Xu, Weihong Luo, Yuhua Li, Xue Liu, Xiuqiang He, Ruixuan Li:
Mixed-Precision Embeddings for Large-Scale Recommendation Models. CoRR abs/2409.20305 (2024) - [i60]Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Christopher Pal:
Robust Guided Diffusion for Offline Black-Box Optimization. CoRR abs/2410.00983 (2024) - [i59]Zonglun Li, Shuhao Zheng, Junliang Luo, Ziyue Xin, Dun Yuan, Shang Gao, Sichao Yang, Bin Xiao, Xue (Steve) Liu:
PoUDR: Proof of Unified Data Retrieval in Decentralized Storage Networks. IACR Cryptol. ePrint Arch. 2024: 1544 (2024) - 2023
- [j161]Can (sam) Chen, Jingbo Zhou, Fan Wang, Xue (Steve) Liu, Dejing Dou:
Structure-aware protein self-supervised learning. Bioinform. 39(4) (2023) - [j160]Hang Li, Chen Ma, Xi Chen, Xue Liu:
Dynamic Consolidation for Continual Learning. Neural Comput. 35(2): 228-248 (2023) - [j159]Jie Tang, Weilin Zhu, Xiaoming Li, Shaoshan Liu, Xue Liu:
A Distributed Pricing Strategy for Edge Computation Offloading Optimization in Autonomous Driving. IEEE Netw. 37(5): 49-55 (2023) - [j158]Junqin Huang, Linghe Kong, Guihai Chen, Qiao Xiang, Xi Chen, Xue (Steve) Liu:
Blockchain-Based Federated Learning: A Systematic Survey. IEEE Netw. 37(6): 150-157 (2023) - [j157]Yufei Cui, Yu Mao, Ziquan Liu, Qiao Li, Antoni B. Chan, Xue (Steve) Liu, Tei-Wei Kuo, Chun Jason Xue:
Variational Nested Dropout. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10519-10534 (2023) - [j156]Tim Tianyi Yang, Tom Tianze Yang, Shaoshan Liu, Xue Liu:
Acheiving United Nations' SDG3 Through Empowering Health Artificial Intelligence on Resource-Constrained Mobile Devices Without Connectivity. SIGCAS Comput. Soc. 52(3): 6-9 (2023) - [j155]Zhangyu Chen, Yu Hua, Luochangqi Ding, Bo Ding, Pengfei Zuo, Xue Liu:
Lock-Free High-performance Hashing for Persistent Memory via PM-aware Holistic Optimization. ACM Trans. Archit. Code Optim. 20(1): 5:1-5:26 (2023) - [j154]Xinxin Liu, Yu Hua, Xue Liu, Ling Yang, Yuanyuan Sun:
Design and Implementation of Smooth Renewable Power in Cloud Data Centers. IEEE Trans. Cloud Comput. 11(1): 85-96 (2023) - [j153]Xuan Li, Christian Desrosiers, Xue (Steve) Liu:
Deep Neural Forest for Out-of-Distribution Detection of Skin Lesion Images. IEEE J. Biomed. Health Informatics 27(1): 157-165 (2023) - [j152]Zhe Wang, Linghe Kong, Xue Liu, Guihai Chen:
Embracing Channel Estimation in Multi-Packet Reception of ZigBee. IEEE Trans. Mob. Comput. 22(5): 2693-2708 (2023) - [j151]Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu:
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. ACM Trans. Inf. Syst. 41(2): 47:1-47:29 (2023) - [j150]Xi Chen, Qiao Xiang, Linghe Kong, Huisan Xu, Xue Liu:
Learning From FM Communications: Toward Accurate, Efficient, All-Terrain Vehicle Localization. IEEE/ACM Trans. Netw. 31(1): 42-57 (2023) - [j149]Ju Wang, Xi Chen, Xue Liu, Gregory Dudek:
Eliminating Space Scanning: Fast mmWave Beam Alignment with UWB Radios. ACM Trans. Sens. Networks 19(4): 79:1-79:20 (2023) - [j148]Chengming Hu, Jun Yan, Xue Liu:
Reinforcement Learning-Based Adaptive Feature Boosting for Smart Grid Intrusion Detection. IEEE Trans. Smart Grid 14(4): 3150-3163 (2023) - [c220]Junliang Luo, Yongzheng Jia, Xue Liu:
Understanding NFT Price Moves through Tweets Keywords Analysis. GoodIT 2023: 410-418 - [c219]Junliang Luo, Simone Casale-Brunet, Barbara Guidi, Marco Mattavelli, Xue Liu:
Unveiling social aggregation in the Decentraland metaverse platform. GoodIT 2023: 419-427 - [c218]Junliang Luo, Farimah Poursafaei, Xue Liu:
Towards Improved Illicit Node Detection with Positive-Unlabelled Learning. ICBC 2023: 1-5 - [c217]Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates:
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. ICDE 2023: 1112-1125 - [c216]Yufei Cui, Ziquan Liu, Xiangyu Liu, Xue Liu, Cong Wang, Tei-Wei Kuo, Chun Jason Xue, Antoni B. Chan:
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images. ICLR 2023 - [c215]Can Chen, Yingxue Zhang, Xue Liu, Mark Coates:
Bidirectional Learning for Offline Model-based Biological Sequence Design. ICML 2023: 5351-5366 - [c214]Haoyu Liu, Feiyan Ding, Yao Wang, Qiao Xiang, Jiwu Shu, Haizhou Du, Linghe Kong, Xue Liu:
What Appears Suboptimal May Surprise You: A Fixed-Rate Scheduling Policy for Geo-Distributed CoFlows. ICPADS 2023: 1342-1349 - [c213]Bolun Zhu, Yu Hua, Ziyin Long, Xue Liu:
CATS: A Computation-Aware Transaction Processing System with Proactive Unlocking. IWQoS 2023: 1-10 - [c212]Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Chris Pal:
Parallel-mentoring for Offline Model-based Optimization. NeurIPS 2023 - [c211]Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue (Steve) Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan:
Retrieval-Augmented Multiple Instance Learning. NeurIPS 2023 - [c210]Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue (Steve) Liu:
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. NeurIPS 2023 - [c209]Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue (Steve) Liu:
Importance-aware Co-teaching for Offline Model-based Optimization. NeurIPS 2023 - [c208]Dan Liu, Xi Chen, Chen Ma, Xue Liu:
Hyperspherical Quantization: Toward Smaller and More Accurate Models. WACV 2023: 5251-5261 - [c207]Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu:
Optimizing Feature Set for Click-Through Rate Prediction. WWW 2023: 3386-3395 - [i58]Can Chen, Yingxue Zhang, Xue Liu, Mark Coates:
Bidirectional Learning for Offline Model-based Biological Sequence Design. CoRR abs/2301.02931 (2023) - [i57]Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu:
Optimizing Feature Set for Click-Through Rate Prediction. CoRR abs/2301.10909 (2023) - [i56]Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu:
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. CoRR abs/2302.02241 (2023) - [i55]Tim Tianyi Yang, Tom Tianze Yang, Na An, Ao Kong, Shaoshan Liu, Xue (Steve) Liu:
AI Clinics on Mobile (AICOM): Universal AI Doctors for the Underserved and Hard-to-Reach. CoRR abs/2306.10324 (2023) - [i54]Chengming Hu, Xuan Li, Dan Liu, Haolun Wu, Xi Chen, Ju Wang, Xue Liu:
Teacher-Student Architecture for Knowledge Distillation: A Survey. CoRR abs/2308.04268 (2023) - [i53]Yili Jin, Kaiyuan Hu, Junhua Liu, Fangxin Wang, Xue Liu:
From Capture to Display: A Survey on Volumetric Video. CoRR abs/2309.05658 (2023) - [i52]Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal:
Parallel-mentoring for Offline Model-based Optimization. CoRR abs/2309.11592 (2023) - [i51]Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue Liu:
Importance-aware Co-teaching for Offline Model-based Optimization. CoRR abs/2309.11600 (2023) - [i50]Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu:
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. CoRR abs/2310.15342 (2023) - [i49]Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu, Craig Boutilier, Maryam Karimzadehgan:
Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval. CoRR abs/2310.20091 (2023) - [i48]Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, Xue Liu:
Towards Automated Negative Sampling in Implicit Recommendation. CoRR abs/2311.03526 (2023) - [i47]Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Jun Yan, Boyu Wang, Xue Liu:
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation. CoRR abs/2312.15112 (2023) - 2022
- [j147]Fuqiang Gu, Mu-Huan Chung, Mark H. Chignell, Shahrokh Valaee, Baoding Zhou, Xue Liu:
A Survey on Deep Learning for Human Activity Recognition. ACM Comput. Surv. 54(8): 177:1-177:34 (2022) - [j146]Fei Gu, Jianwei Niu, Landu Jiang, Xue (Steve) Liu, Gerhard P. Hancke:
SafePath: Exploiting Ubiquitous Smartphones to Avoid Vehicle-Pedestrian Collision. IEEE Internet Things J. 9(9): 6763-6777 (2022) - [j145]Shaoshan Liu, Yuzhang Huang, Ao Kong, Jie Tang, Xue Liu:
Rise of the Automotive Health-Domain Controllers: Empowering Healthcare Services in Intelligent Vehicles. IEEE Internet Things J. 9(24): 24882-24889 (2022) - [j144]Tse-Yuan Wang, Chun-Feng Wu, Che-Wei Tsao, Yuan-Hao Chang, Tei-Wei Kuo, Xue (Steve) Liu:
Rethinking the Interactivity of OS and Device Layers in Memory Management. ACM Trans. Embed. Comput. Syst. 21(4): 42:1-42:21 (2022) - [j143]Ruitao Chen, Xianbin Wang, Xue (Steve) Liu:
Smart Futures Based Resource Trading and Coalition Formation for Real-Time Mobile Data Processing. IEEE Trans. Serv. Comput. 15(5): 3047-3060 (2022) - [j142]Tianyi Chen, Shengrong Bu, Xue Liu, Jikun Kang, F. Richard Yu, Zhu Han:
Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning. IEEE Trans. Smart Grid 13(1): 715-727 (2022) - [j141]Shaoshan Liu, Bo Yu, Jie Tang, Yuhao Zhu, Xue Liu:
Communication Challenges in Infrastructure-Vehicle Cooperative Autonomous Driving: A Field Deployment Perspective. IEEE Wirel. Commun. 29(4): 126-131 (2022) - [c206]Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu:
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CIKM 2022: 1399-1409 - [c205]Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates:
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CIKM 2022: 2148-2157 - [c204]Jikun Kang, Miao Liu, Abhinav Gupta, Christopher Pal, Xue (Steve) Liu, Jie Fu:
Learning Multi-Objective Curricula for Robotic Policy Learning. CoRL 2022: 847-858 - [c203]Xingrui Yi, Yutong Liu, Linghe Kong, Guihai Chen, Xue (Steve) Liu, Shahid Mumtaz, Joel J. P. C. Rodrigues:
6G Intelligent Distributed Uplink Beamforming for Transport System in Highly Dynamic Environments. GLOBECOM 2022: 753-758 - [c202]Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu:
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. ICDE 2022: 1450-1462 - [c201]Xuan Li, Christian Desrosiers, Xue Liu:
Symmetric Contrastive Loss for Out-of-Distribution Skin Lesion Detection. ISBI 2022: 1-5 - [c200]Can Chen, Yingxue Zhang, Jie Fu, Xue (Steve) Liu, Mark Coates:
Bidirectional Learning for Offline Infinite-width Model-based Optimization. NeurIPS 2022 - [c199]Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu:
Joint Multisided Exposure Fairness for Recommendation. SIGIR 2022: 703-714 - [i46]Yuecai Zhu, Fuyuan Lyu, Chengming Hu, Xi Chen, Xue Liu:
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey. CoRR abs/2203.10480 (2022) - [i45]Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou:
Structure-aware Protein Self-supervised Learning. CoRR abs/2204.04213 (2022) - [i44]Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu:
Joint Multisided Exposure Fairness for Recommendation. CoRR abs/2205.00048 (2022) - [i43]Can Chen, Chen Ma, Xi Chen, Sirui Song, Hao Liu, Xue Liu:
Unbiased Implicit Feedback via Bi-level Optimization. CoRR abs/2206.00147 (2022) - [i42]Shuhao Zheng, Junliang Luo, Erqun Dong, Can Chen, Xue Liu:
SPENDER: A Platform for Secure and Privacy-Preserving Decentralized P2P E-Commerce. CoRR abs/2206.07215 (2022) - [i41]Can Chen, Xi Chen, Chen Ma, Zixuan Liu, Xue Liu:
Gradient-based Bi-level Optimization for Deep Learning: A Survey. CoRR abs/2207.11719 (2022) - [i40]Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates:
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CoRR abs/2208.01709 (2022) - [i39]Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu:
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CoRR abs/2208.04482 (2022) - [i38]Can Chen, Yingxue Zhang, Jie Fu, Xue Liu, Mark Coates:
Bidirectional Learning for Offline Infinite-width Model-based Optimization. CoRR abs/2209.07507 (2022) - [i37]Junliang Luo, Yongzheng Jia, Xue Liu:
Understanding NFT Price Moves through Social Media Keywords Analysis. CoRR abs/2209.07706 (2022) - [i36]Shuhao Zheng, Yanxi Lin, Yang Yu, Ye Yuan, Yongzheng Jia, Xue Liu:
Towards Auditing the Sensitive Information Leakage During Data Trading and Data Computing. CoRR abs/2209.11451 (2022) - [i35]Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates:
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. CoRR abs/2211.06370 (2022) - [i34]Tim Tianyi Yang, Tom Tianze Yang, Andrew Liu, Jie Tang, Na An, Shaoshan Liu, Xue Liu:
AICOM-MP: an AI-based Monkeypox Detector for Resource-Constrained Environments. CoRR abs/2211.14313 (2022) - [i33]Dan Liu, Xi Chen, Chen Ma, Xue Liu:
Hyperspherical Quantization: Toward Smaller and More Accurate Models. CoRR abs/2212.12653 (2022) - [i32]Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, Xue Liu:
A Survey of Diversification Techniques in Search and Recommendation. CoRR abs/2212.14464 (2022) - 2021
- [j140]Hang Li, Xi Chen, Ju Wang, Di Wu, Xue Liu:
DAFI: WiFi-based Device-free Indoor Localization via Domain Adaptation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4): 167:1-167:21 (2021) - [j139]