Publication

Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation (Coming soon)

Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip Yu

KDD 2024

Instruction-based Hypergraph Pretraining

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu

SIGIR 2024, code

AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

Zhiwei Liu, Weiran Yao, Jianguo Zhang, Liangwei Yang, Zuxin Liu, Juntao Tan, Prafulla K. Choubey, Tian Lan, Jason Wu, Huan Wang, Shelby Heinecke, Caiming Xiong, Silvio Savarese

ArXiv, code,

Unified Pretraining for Recommendation via Task Hypergraphs

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng and Philip S. Yu

WSDM 2024 (Acceptance rate: 112/615 ~18%)

Knowledge Graph Context-Enhanced Diversified Recommendation

Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, and Philip S. Yu

WSDM 2024 (Acceptance rate: 112/615 ~18%)

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents

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

LLMAgent@ICLR 2024, code

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization

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

ICLR 2024

Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs

Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip Yu, and Lifang He

ICDM 2023 (Acceptance rate: 94/926 ~9.37%)

Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training

Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S Yu

CIKM 2023 (Acceptance rate: 354/1472 ~24%), code

Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning 

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng and Philip S. Yu

CIKM 2023 (Acceptance rate: 354/1472 ~24%)

Graph-based Alignment and Uniformity for Recommendation

Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma and Philip S. Yu

CIKM 2023 Short (Acceptance rate: 152/554 ~27.4%)

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI

Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong

Github, Huggingface

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation

Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You and Philip Yu

ACM Rec Sys 2023 （47/251, ~18.7%）

Conditional Denoising Diffusion for Sequential Recommendation

Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S Yu

arXiv

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation

Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S Yu

The Web Conference 2023

code

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip Yu

WSDM 2023

code

ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation 

Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang and Philip S Yu

CIKM 2022

code

Explanation Guided Contrastive Learning for Sequential Recommendation

Lei Wang, Ee-Peng Lim, Zhiwei Liu and Tianxiang Zhao

CIKM 2022

code

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees (Best Paper Runner Up!)

Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai and Yu Philip

CIKM 2022

code

Deoscillated  Adaptive Graph Collaborative Filtering 

Zhiwei Liu*, Lin Meng*, Fei Jiang, Jiawei Zhang, Philip S. Yu (* is equal contribution)

Accepted to TAG workshop at ICML

code

Improving Contrastive Learning with Model Augmentation

Zhiwei Liu, Yongjun Chen, Jia Li, Man Luo, Caiming Xiong

Pre-print

Code

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network

Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu

The Web Conference 2022

Intent Contrastive Learning for Sequential Recommendation

Yongjun Chen, Zhiwei Liu, Jia Li, Julian McAuley, Caiming Xiong

The Web Conference 2022

Sequential Recommendation via Stochastic Self-Attention

Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu

The Web Conference 2022

code

Pre-training Graph Neural Network for Cross Domain Recommendation 

Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu

CogMI 2021 invited paper on vision track

Federated Social Recommendation with Graph Neural Network

Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu

ACM TIST 2021 Special Issue

Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network

Xiaohan Li, Zhiwei Liu, Stephen Guo, Zheng Liu, Hao Peng, Philip Yu, and Kannan Achan

IEEE BIGDATA 2021

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning 

Jianguo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang and Philip Yu

EMNLP 2021

PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition

Tao Zhang, Congying Xia, Philip S. Yu, Zhiwei Liu and Shu Zhao

EMNLP 2021

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Zhiwei Liu*, Yongjun Chen*,  Jia Li, Philip S. Yu, Julian McAuley, Caiming Xiong (* indicating equal contribution)

Preprint

code 

DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN

Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun and Philip S. Yu

ACM CIKM 2021

code

 Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation (best paper nomination)

Ziwei Fan, Zhiwei Liu, Lei Zheng, Shen Wang and Philip S. Yu 

ACM CIKM 2021

code

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer

Zhiwei Liu*, Ziwei Fan*,Jiawei Zhang,  Yun Xiong, Lei Zheng, and Philip S. Yu (* is equal contribution)

ACM CIKM 2021

code

Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer

Zhiwei Liu*, Ziwei Fan*, Yu Wang, Philip S. Yu (* is equal contribution)

SIGIR 2021

code

ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation

Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu 

SIGIR 2021

code

Basket Recommendation with Multi-Intent Translation Graph Neural Network

Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen Guo, Kannan Achan, Philip S. Yu

IEEE Bigdata 2020

code

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu. 

CIKM 2020

code

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection

Zhiwei Liu, Yingtong Dou, Yutong Deng, Hao Peng and Philip S. Yu 

ACM 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020)

code (This is a project containing a series of GNN-based fraud detection algorithms)

BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network

Zhiwei Liu, Mengting Wan, Stephen Guo, Kannan Achan and Philip S. Yu

SIAM International Conference on Data Mining 2020 (SDM'20) 

Code

A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations 

Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen Guo, Kannan Achan 

45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)

JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation 

Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, and Philip S. Yu

IEEE BigData 2019

Code

Unsupervised Meta-path Reduction on Heterogeneous Information Networks

Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu.

IEEE BigData 2019

Embedding and predicting the event at early stage

Zhiwei Liu, Yang Yang, Zi Huang, Fumin Shen, Dongxiang Zhang, and Heng Tao Shen.

World Wide Web Journal, 2018: 1-20. 

Event Early Embedding: Predicting Event Volume Dynamics at Early Stage

Zhiwei Liu, Yang Yang, Zi Huang, Fumin Shen, Dongxiang Zhang, and Heng Tao Shen.

In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR '17). ACM, New York, NY, USA, 997-1000.