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Publication search results
found 64 matches
- 2024
- Changxin Tian, Yuexiang Xie, Xu Chen, Yaliang Li, Xin Zhao:
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning. ACM Trans. Inf. Syst. 42(5): 135:1-135:29 (2024) - Yingqian Min, Kun Zhou, Dawei Gao, Xin Zhao, He Hu, Yaliang Li:
DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. ACL (Findings) 2024: 13748-13761 - Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. LREC/COLING 2024: 5174-5190 - Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li:
VertiMRF: Differentially Private Vertical Federated Data Synthesis. KDD 2024: 4431-4442 - Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou:
Data-Juicer: A One-Stop Data Processing System for Large Language Models. SIGMOD Conference Companion 2024: 120-134 - Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. CoRR abs/2401.00158 (2024) - Yingqian Min, Kun Zhou, Dawei Gao, Wayne Xin Zhao, He Hu, Yaliang Li:
Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. CoRR abs/2401.03563 (2024) - Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen:
Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers. CoRR abs/2402.17564 (2024) - Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen:
Less is More: Data Value Estimation for Visual Instruction Tuning. CoRR abs/2403.09559 (2024) - Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li:
VertiMRF: Differentially Private Vertical Federated Data Synthesis. CoRR abs/2406.19008 (2024) - Fangyuan Zhao, Yuexiang Xie, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li:
Understanding Byzantine Robustness in Federated Learning with A Black-box Server. CoRR abs/2408.06042 (2024) - 2023
- Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang:
Multi-grained hypergraph interest modeling for conversational recommendation. AI Open 4: 154-164 (2023) - Jing Yang, Laurence T. Yang, Hao Wang, Yuan Gao, Yaliang Zhao, Xia Xie, Yan Lu:
Representation learning for knowledge fusion and reasoning in Cyber-Physical-Social Systems: Survey and perspectives. Inf. Fusion 90: 59-73 (2023) - Guangming Zhang, Yaliang Zhao, Jinke Wang:
Few-shot node classification on attributed networks based on deep metric learning for Cyber-Physical-Social Services. Pattern Recognit. Lett. 173: 87-92 (2023) - Yuan Gao, Laurence T. Yang, Jing Yang, Hao Wang, Yaliang Zhao:
Attention U-Net Based on Bi-ConvLSTM and Its Optimization for Smart Healthcare. IEEE Trans. Comput. Soc. Syst. 10(4): 1966-1974 (2023) - Yuan Gao, Laurence T. Yang, Jing Yang, Dehua Zheng, Yaliang Zhao:
Jointly Low-Rank Tensor Completion for Estimating Missing Spatiotemporal Values in Logistics Systems. IEEE Trans. Ind. Informatics 19(2): 1814-1822 (2023) - Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. EMNLP 2023: 3721-3735 - Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen:
Source-Free Unsupervised Domain Adaptation for Question Answering. ICASSP 2023: 1-5 - Yaliang Zhao, Tianchi Zhang, Jinke Wang:
Clustering Information-guided Multi-view Contrastive Graph Clustering. ICPADS 2023: 320-326 - Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang:
Multi-grained Hypergraph Interest Modeling for Conversational Recommendation. CoRR abs/2305.04798 (2023) - Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. CoRR abs/2307.08072 (2023) - Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou:
Data-Juicer: A One-Stop Data Processing System for Large Language Models. CoRR abs/2309.02033 (2023) - 2022
- Zheng Yan, Qinghua Zheng, Yulei Wu, Yaliang Zhao, Mohammed Atiquzzaman:
Guest editorial: Blockchain-enabled technologies for cyber-physical systems and big data applications. Digit. Commun. Networks 8(5): 589-590 (2022) - Chunchun Zhang, Yaliang Zhao, Jinke Wang:
Transformer-based Dynamic Fusion Clustering Network. Knowl. Based Syst. 258: 109984 (2022) - Yuan Gao, Laurence T. Yang, Yaliang Zhao, Jing Yang:
Feature Extraction of High-dimensional Data Based on J-HOSVD for Cyber-Physical-Social Systems. ACM Trans. Manag. Inf. Syst. 13(3): 26:1-26:21 (2022) - Yaliang Zhao, Laurence T. Yang, Yiwen Zhang, Jiayu Sun, Xiaojing Wang, Chunchun Zhang, Guangming Zhang:
Tensor Train-Based Multiple Clusterings for Big Data in Cyber-Physical-Social Systems and Its Efficient Implementations. IEEE Trans. Netw. Sci. Eng. 9(6): 3896-3908 (2022) - Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen:
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. ACM Trans. Inf. Syst. 40(1): 11:1-11:29 (2022) - Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Siqing Li, Ji-Rong Wen:
Knowledge-Guided Disentangled Representation Learning for Recommender Systems. ACM Trans. Inf. Syst. 40(1): 6:1-6:26 (2022) - Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding:
ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CCIR 2022: 16-27 - Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
Privacy-Preserved Neural Graph Similarity Learning. ICDM 2022: 191-200
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