default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZhiwei Liu 0001
Person information
- affiliation: Salesforce, Palo Alto, CA, USA
- affiliation (former): University of Illinois at Chicago, IL, USA
Other persons with the same name
- Zhiwei Liu (aka: Zhi-Wei Liu) — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j4]Xiang Huang
, Hao Peng, Dongcheng Zou, Zhiwei Liu, Jianxin Li, Kay Liu, Jia Wu, Jianlin Su, Philip S. Yu:
CoSENT: Consistent Sentence Embedding via Similarity Ranking. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2800-2813 (2024)- [j3]Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu:
Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection. IEEE Trans. Knowl. Data Eng. 36(6): 2701-2715 (2024) - 2023
- [j2]Tao Zhang, Congying Xia, Zhiwei Liu, Shu Zhao, Hao Peng, Philip S. Yu:
Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 76:1-76:21 (2023) - 2022
- [j1]Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu:
Federated Social Recommendation with Graph Neural Network. ACM Trans. Intell. Syst. Technol. 13(4): 55:1-55:24 (2022)
Conference and Workshop Papers
- 2024
- [c46]Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu:
Collaborative Alignment for Recommendation. CIKM 2024: 2315-2325 - [c45]Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu:
AI Agent for Information Retrieval: Generating and Ranking. CIKM 2024: 5605-5607 - [c44]Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong:
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. EACL (Findings) 2024: 2299-2315 - [c43]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh R. N., Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. ICLR 2024 - [c42]Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh R. N., Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong:
APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets. NeurIPS 2024 - [c41]Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu:
Conditional Denoising Diffusion for Sequential Recommendation. PAKDD (5) 2024: 156-169 - [c40]Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Runze Yang, Chunyang Liu, Lifang He:
Semi-Supervised Clustering via Structural Entropy with Different Constraints. SDM 2024: 208-216 - [c39]Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang:
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. SDM 2024: 743-751 - [c38]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Instruction-based Hypergraph Pretraining. SIGIR 2024: 501-511 - [c37]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu:
Knowledge Graph Context-Enhanced Diversified Recommendation. WSDM 2024: 462-471 - [c36]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Unified Pretraining for Recommendation via Task Hypergraphs. WSDM 2024: 891-900 - 2023
- [c35]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu:
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. IEEE Big Data 2023: 393-402 - [c34]Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu:
Multi-View Graph Convolution for Participant Recommendation. IEEE Big Data 2023: 5647-5656 - [c33]Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu:
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CIKM 2023: 483-493 - [c32]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CIKM 2023: 2969-2979 - [c31]Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu:
Graph-based Alignment and Uniformity for Recommendation. CIKM 2023: 4395-4399 - [c30]Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He:
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. ICDM 2023: 768-777 - [c29]Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu:
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. RecSys 2023: 322-333 - [c28]Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. SIGDIAL 2023: 509-518 - [c27]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. WSDM 2023: 769-777 - [c26]Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. WWW 2023: 1375-1385 - 2022
- [c25]Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu, Caiming Xiong, Philip S. Yu:
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. ConvAI@ACL 2022: 12-20 - [c24]Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu:
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. IEEE Big Data 2022: 525-534 - [c23]Shen Wang, Liangwei Yang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu:
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. IEEE Big Data 2022: 665-674 - [c22]Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu:
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CIKM 2022: 1685-1695 - [c21]Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao:
Explanation Guided Contrastive Learning for Sequential Recommendation. CIKM 2022: 2017-2027 - [c20]Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu:
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. CIKM 2022: 2056-2066 - [c19]Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu:
Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory. ICWS 2022: 331-336 - [c18]Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu:
Sequential Recommendation via Stochastic Self-Attention. WWW 2022: 2036-2047 - [c17]Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong:
Intent Contrastive Learning for Sequential Recommendation. WWW 2022: 2172-2182 - [c16]Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu:
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. WWW 2022: 3376-3386 - 2021
- [c15]Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan:
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. IEEE BigData 2021: 457-468 - [c14]Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu:
Deep Fraud Detection on Non-attributed Graph. IEEE BigData 2021: 5470-5473 - [c13]Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu:
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CIKM 2021: 433-442 - [c12]Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu:
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. CIKM 2021: 3019-3023 - [c11]Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu:
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. CIKM 2021: 3513-3517 - [c10]Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu:
Pre-training Graph Neural Network for Cross Domain Recommendation. CogMI 2021: 140-145 - [c9]Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu:
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. SIGIR 2021: 1608-1612 - [c8]Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu:
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. SIGIR 2021: 2141-2145 - 2020
- [c7]Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu:
Basket Recommendation with Multi-Intent Translation Graph Neural Network. IEEE BigData 2020: 728-737 - [c6]Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu:
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. CIKM 2020: 315-324 - [c5]Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu:
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. SDM 2020: 64-72 - [c4]Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng:
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. SIGIR 2020: 1569-1572 - 2019
- [c3]Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu:
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. IEEE BigData 2019: 850-859 - [c2]Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu:
Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network. IEEE BigData 2019: 1245-1250 - 2017
- [c1]Zhiwei Liu, Yang Yang, Zi Huang, Fumin Shen, Dongxiang Zhang, Heng Tao Shen:
Event Early Embedding: Predicting Event Volume Dynamics at Early Stage. SIGIR 2017: 997-1000
Informal and Other Publications
- 2024
- [i63]Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong:
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. CoRR abs/2402.15506 (2024) - [i62]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Liangwei Yang, Zuxin Liu, Juntao Tan, Prafulla Kumar Choubey, Tian Lan, Jason Wu, Huan Wang, Shelby Heinecke, Caiming Xiong, Silvio Savarese:
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. CoRR abs/2402.15538 (2024) - [i61]Kailai Yang, Zhiwei Liu, Qianqian Xie, Tianlin Zhang, Nirui Song, Jimin Huang, Ziyan Kuang, Sophia Ananiadou:
MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models. CoRR abs/2403.17141 (2024) - [i60]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Instruction-based Hypergraph Pretraining. CoRR abs/2403.19063 (2024) - [i59]Rithesh Murthy, Liangwei Yang, Juntao Tan, Tulika Manoj Awalgaonkar, Yilun Zhou, Shelby Heinecke, Sachin Desai, Jason Wu, Ran Xu, Sarah Tan, Jianguo Zhang, Zhiwei Liu, Shirley Kokane, Zuxin Liu, Ming Zhu, Huan Wang, Caiming Xiong, Silvio Savarese:
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. CoRR abs/2406.10290 (2024) - [i58]Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong:
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. CoRR abs/2406.18518 (2024) - [i57]Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu:
Personalized Multi-task Training for Recommender System. CoRR abs/2407.21364 (2024) - [i56]Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh Murthy, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong:
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. CoRR abs/2408.07060 (2024) - [i55]Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, Zhiwei Liu, Yihao Feng, Tulika Manoj Awalgaonkar, Rithesh Murthy, Eric Hu, Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
xLAM: A Family of Large Action Models to Empower AI Agent Systems. CoRR abs/2409.03215 (2024) - [i54]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Rithesh Murthy, Liangwei Yang, Zuxin Liu, Tian Lan, Ming Zhu, Juntao Tan, Shirley Kokane, Thai Hoang, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent. CoRR abs/2410.18528 (2024) - [i53]Shirley Kokane, Ming Zhu, Tulika Awalgaonkar, Jianguo Zhang, Thai Hoang, Akshara Prabhakar, Zuxin Liu, Tian Lan, Liangwei Yang, Juntao Tan, Rithesh Murthy, Weiran Yao, Zhiwei Liu, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong, Silivo Savarese:
SpecTool: A Benchmark for Characterizing Errors in Tool-Use LLMs. CoRR abs/2411.13547 (2024) - [i52]Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese:
TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action. CoRR abs/2412.05479 (2024) - 2023
- [i51]Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. CoRR abs/2301.12197 (2023) - [i50]Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang:
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. CoRR abs/2304.05492 (2023) - [i49]Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu:
Conditional Denoising Diffusion for Sequential Recommendation. CoRR abs/2304.11433 (2023) - [i48]Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu:
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CoRR abs/2305.07633 (2023) - [i47]Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing. CoRR abs/2306.11986 (2023) - [i46]Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu:
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. CoRR abs/2306.14462 (2023) - [i45]Rithesh Murthy, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
REX: Rapid Exploration and eXploitation for AI Agents. CoRR abs/2307.08962 (2023) - [i44]Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong:
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. CoRR abs/2307.10172 (2023) - [i43]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. CoRR abs/2308.02151 (2023) - [i42]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. CoRR abs/2308.05960 (2023) - [i41]Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. CoRR abs/2308.08169 (2023) - [i40]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CoRR abs/2308.08620 (2023) - [i39]Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu:
Graph-based Alignment and Uniformity for Recommendation. CoRR abs/2308.09292 (2023) - [i38]Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He:
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. CoRR abs/2309.01899 (2023) - [i37]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu:
Knowledge Graph Context-Enhanced Diversified Recommendation. CoRR abs/2310.13253 (2023) - [i36]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Unified Pretraining for Recommendation via Task Hypergraphs. CoRR abs/2310.13286 (2023) - [i35]Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu:
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection. CoRR abs/2310.19247 (2023) - [i34]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu:
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. CoRR abs/2311.09577 (2023) - [i33]Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu:
Multi-view Graph Convolution for Participant Recommendation. CoRR abs/2311.12136 (2023) - [i32]Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Runze Yang, Chunyang Liu, Lifang He:
Semi-Supervised Clustering via Structural Entropy with Different Constraints. CoRR abs/2312.10917 (2023) - [i31]Yu Wang, Zhiwei Liu, Jianguo Zhang, Weiran Yao, Shelby Heinecke, Philip S. Yu:
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation. CoRR abs/2312.11336 (2023) - 2022
- [i30]Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu:
Sequential Recommendation via Stochastic Self-Attention. CoRR abs/2201.06035 (2022) - [i29]Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong:
Intent Contrastive Learning for Sequential Recommendation. CoRR abs/2202.02519 (2022) - [i28]Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu:
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. CoRR abs/2202.03392 (2022) - [i27]Zhiwei Liu, Yongjun Chen, Jia Li, Man Luo, Philip S. Yu, Caiming Xiong:
Improving Contrastive Learning with Model Augmentation. CoRR abs/2203.15508 (2022) - [i26]Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu:
Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory. CoRR abs/2205.12179 (2022) - [i25]Yongjun Chen, Jia Li, Zhiwei Liu, Nitish Shirish Keskar, Huan Wang, Julian J. McAuley, Caiming Xiong:
Generating Negative Samples for Sequential Recommendation. CoRR abs/2208.03645 (2022) - [i24]Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu:
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. CoRR abs/2209.00456 (2022) - [i23]Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao:
Explanation Guided Contrastive Learning for Sequential Recommendation. CoRR abs/2209.01347 (2022) - [i22]Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu:
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CoRR abs/2209.01539 (2022) - [i21]Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu:
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. CoRR abs/2210.13572 (2022) - [i20]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. CoRR abs/2211.01830 (2022) - [i19]Liangwei Yang, Shen Wang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu:
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. CoRR abs/2211.07104 (2022) - 2021
- [i18]Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu:
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. CoRR abs/2105.00522 (2021) - [i17]Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu:
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. CoRR abs/2105.02254 (2021) - [i16]Ailing Zeng, Minhao Liu, Zhiwei Liu, Ruiyuan Gao, Qiang Xu:
Hop-Aware Dimension Optimization for Graph Neural Networks. CoRR abs/2105.14490 (2021) - [i15]Ziwei Fan, Zhiwei Liu, Lei Zheng, Shen Wang, Philip S. Yu:
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. CoRR abs/2106.06165 (2021) - [i14]Zhiwei Liu, Yongjun Chen, Jia Li, Philip S. Yu, Julian J. McAuley, Caiming Xiong:
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation. CoRR abs/2108.06479 (2021) - [i13]Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu:
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CoRR abs/2108.06625 (2021) - [i12]Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu:
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. CoRR abs/2108.11883 (2021) - [i11]Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu:
Deep Fraud Detection on Non-attributed Graph. CoRR abs/2110.01171 (2021) - [i10]Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu:
Pre-training Graph Neural Network for Cross Domain Recommendation. CoRR abs/2111.08268 (2021) - [i9]Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu:
Federated Social Recommendation with Graph Neural Network. CoRR abs/2111.10778 (2021) - [i8]Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan:
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. CoRR abs/2111.14036 (2021) - 2020
- [i7]Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu:
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. CoRR abs/2001.09900 (2020) - [i6]Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng:
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. CoRR abs/2005.00625 (2020) - [i5]Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu:
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. CoRR abs/2008.08692 (2020) - [i4]Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu:
Basket Recommendation with Multi-Intent Translation Graph Neural Network. CoRR abs/2010.11419 (2020) - 2019
- [i3]Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu:
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. CoRR abs/1910.08219 (2019) - [i2]Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan:
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. CoRR abs/1910.12757 (2019) - 2018
- [i1]Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu:
Unsupervised Meta-path Reduction on Heterogeneous Information Networks. CoRR abs/1810.12503 (2018)
Coauthor Index
[j4] [j3] [j2] [j1] [c46] [c45] [c41] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c27] [c26] [c25] [c24] [c23] [c22] [c20] [c19] [c18] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [i60] [i57] [i51] [i49] [i48] [i47] [i46] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i31] [i30] [i28] [i27] [i26] [i24] [i22] [i21] [i20] [i19] [i18] [i17] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-10 22:44 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
