Zhiwei Liu - RankMe

158 papers A* 16A 21B 6Misc 1Journal 94Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Building Enterprise Realtime Voice Agents from Scratch: A Technical Tutorial. CoRR Jielin Qiu, Zixiang Chen, Liangwei Yang, Ming Zhu, Zhiwei Liu, Juntao Tan, Wenting Zhao, Rithesh Murthy, Roshan Ram, Akshara Prabhakar, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Huan Wang
2026	J	`jnl`	DIG to Heal: Scaling General-purpose Agent Collaboration via Explainable Dynamic Decision Paths. CoRR Hanqing Yang, Hyungwoo Lee, Yuhang Yao, Zhiwei Liu, Kay Liu, Jingdi Chen, Carlee Joe-Wong
2026	J	`jnl`	Enterprise Sales Copilot: Enabling Real-Time AI Support with Automatic Information Retrieval in Live Sales Calls. CoRR Jielin Qiu, Liangwei Yang, Ming Zhu, Wenting Zhao, Zhiwei Liu, Juntao Tan, Zixiang Chen, Roshan Ram, Akshara Prabhakar, Rithesh Murthy, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Huan Wang
2026	J	`jnl`	Position: Vector Prompt Interfaces Should Be Exposed to Enable Customization of Large Language Models. CoRR Liangwei Yang, Shiyu Wang, Haolin Chen, Rithesh Murthy, Ming Zhu, Jielin Qiu, Zixiang Chen, Juntao Tan, Jianguo Zhang, Zhiwei Liu, Wenting Zhao, Silvio Savarese, Caiming Xiong, Huan Wang, Shelby Heinecke
2025	J	`jnl`	APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay. CoRR Akshara Prabhakar, Zuxin Liu, Ming Zhu, Jianguo Zhang, Tulika Awalgaonkar, Shiyu Wang, Zhiwei Liu, Haolin Chen, Thai Hoang, Juan Carlos Niebles, Shelby Heinecke, Weiran Yao, Huan Wang, Silvio Savarese, Caiming Xiong
2025	A*	`conf`	ActionStudio: A Lightweight Framework for Data and Training of Large Action Models. EMNLP Jianguo Zhang, Thai Hoang, Ming Zhu, Zuxin Liu, Shiyu Wang, Tulika Awalgaonkar, Akshara Prabhakar, Haolin Chen, Weiran Yao, Zhiwei Liu, Juntao Tan, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
2025	J	`jnl`	ActionStudio: A Lightweight Framework for Data and Training of Large Action Models. CoRR Jianguo Zhang, Thai Hoang, Ming Zhu, Zuxin Liu, Shiyu Wang, Tulika Awalgaonkar, Akshara Prabhakar, Haolin Chen, Weiran Yao, Zhiwei Liu, Juntao Tan, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
2025	J	`jnl`	Automating Personalization: Prompt Optimization for Recommendation Reranking. CoRR Chen Wang, Mingdai Yang, Zhiwei Liu, Pan Li, Linsey Pang, Qingsong Wen, Philip S. Yu
2025	A	`conf`	CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic. SDM Huaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, Hua Wei
2025	A*	`conf`	Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. ICLR Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh R. N., Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong
2025	J	`jnl`	GeoGNN: Quantifying and Mitigating Semantic Drift in Text-Attributed Graphs. CoRR Liangwei Yang, Jing Ma, Jianguo Zhang, Zhiwei Liu, Jielin Qiu, Shirley Kokane, Shiyu Wang, Haolin Chen, Rithesh Murthy, Ming Zhu, Huan Wang, Weiran Yao, Caiming Xiong, Shelby Heinecke
2025	—	`conf`	Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. WWW (Companion Volume) Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu
2025	J	`jnl`	Grounded Test-Time Adaptation for LLM Agents. CoRR Arthur Chen, Zuxin Liu, Jianguo Zhang, Akshara Prabhakar, Zhiwei Liu, Shelby Heinecke, Silvio Savarese, Victor Zhong, Caiming Xiong
2025	J	`jnl`	Introduction to the Special Issue on Knowledge Transferring for Recommender Systems. Trans. Recomm. Syst. Zhiwei Liu, Hao Peng, Caiming Xiong, Julian J. McAuley, Philip S. Yu
2025	A*	`conf`	LATTE: Learning to Think with Vision Specialists. EMNLP 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
2025	J	`jnl`	LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering. CoRR Jielin Qiu, Zuxin Liu, Zhiwei Liu, Rithesh Murthy, Jianguo Zhang, Haolin Chen, Shiyu Wang, Ming Zhu, Liangwei Yang, Juntao Tan, Roshan Ram, Akshara Prabhakar, Tulika Awalgaonkar, Zixiang Chen, Zhepeng Cen, Cheng Qian, Shelby Heinecke, Weiran Yao, Silvio Savarese, Caiming Xiong, Huan Wang
2025	J	`jnl`	LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering. CoRR Jielin Qiu, Zuxin Liu, Zhiwei Liu, Rithesh Murthy, Jianguo Zhang, Haolin Chen, Shiyu Wang, Ming Zhu, Liangwei Yang, Juntao Tan, Zhepeng Cen, Cheng Qian, Shelby Heinecke, Weiran Yao, Silvio Savarese, Caiming Xiong, Huan Wang
2025	—	`conf`	MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models. EMNLP (System Demonstrations) Zhiwei Liu, Jielin Qiu, Shiyu Wang, Jianguo Zhang, Zuxin Liu, Roshan Ram, Haolin Chen, Weiran Yao, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong
2025	J	`jnl`	MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models. CoRR Zhiwei Liu, Jielin Qiu, Shiyu Wang, Jianguo Zhang, Zuxin Liu, Roshan Ram, Haolin Chen, Weiran Yao, Huan Wang, Shelby Heinecke, Silvio Savarese, Caiming Xiong
2025	—	`conf`	PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. ACL (Findings) Juntao Tan, Liangwei Yang, Zuxin Liu, Zhiwei Liu, Rithesh R. N., Tulika Manoj Awalgaonkar, Jianguo Zhang, Weiran Yao, Ming Zhu, Shirley Kokane, Silvio Savarese, Huan Wang, Caiming Xiong, Shelby Heinecke
2025	J	`jnl`	PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. CoRR Juntao Tan, Liangwei Yang, Zuxin Liu, Zhiwei Liu, Rithesh Murthy, Tulika Manoj Awalgaonkar, Jianguo Zhang, Weiran Yao, Ming Zhu, Shirley Kokane, Silvio Savarese, Huan Wang, Caiming Xiong, Shelby Heinecke
2025	J	`jnl`	Recommender Systems Meet Large Language Model Agents: A Survey. Found. Trends Priv. Secur. Xi Zhu, Yu Wang, Hang Gao, Wujiang Xu, Chen Wang, Zhiwei Liu, Kun Wang, Mingyu Jin, Linsey Pang, Qingsong Weng, Philip S. Yu, Yongfeng Zhang
2025	—	`conf`	SlackAgents: Scalable Collaboration of AI Agents in Workspaces. EMNLP (System Demonstrations) Zhiwei Liu, Weiran Yao, Zuxin Liu, Juntao Tan, Jianguo Zhang, Frank Wang, Sukhandeep Nahal, Huan Wang, Shelby Heinecke, Silvio Savarese, Caiming Xiong
2025	—	`conf`	The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking. WWW (Companion Volume) Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025	—	`conf`	The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking. KDD (2) Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025	J	`jnl`	ToolLibGen: Scalable Automatic Tool Creation and Aggregation for LLM Reasoning. CoRR Murong Yue, Zhiwei Liu, Liangwei Yang, Jianguo Zhang, Zuxin Liu, Haolin Chen, Ziyu Yao, Silvio Savarese, Caiming Xiong, Shelby Heinecke, Huan Wang
2025	J	`jnl`	Training Large Recommendation Models via Graph-Language Token Alignment. CoRR Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2025	—	`conf`	Training Large Recommendation Models via Graph-Language Tokens Alignment. WWW (Companion Volume) Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2025	J	`jnl`	UserBench: An Interactive Gym Environment for User-Centric Agents. CoRR Cheng Qian, Zuxin Liu, Akshara Prabhakar, Zhiwei Liu, Jianguo Zhang, Haolin Chen, Heng Ji, Weiran Yao, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang
2025	J	`jnl`	UserRL: Training Interactive User-Centric Agent via Reinforcement Learning. CoRR Cheng Qian, Zuxin Liu, Akshara Prabhakar, Jielin Qiu, Zhiwei Liu, Haolin Chen, Shirley Kokane, Heng Ji, Weiran Yao, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang
2025	J	`jnl`	Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels. CoRR Zhepeng Cen, Haolin Chen, Shiyu Wang, Zuxin Liu, Zhiwei Liu, Ding Zhao, Silvio Savarese, Caiming Xiong, Huan Wang, Weiran Yao
2025	—	`conf`	xLAM: A Family of Large Action Models to Empower AI Agent Systems. NAACL (Long Papers) 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 R. N., Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
2025	J	`jnl`	xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning. CoRR Cheng Qian, Zuxin Liu, Shirley Kokane, Akshara Prabhakar, Jielin Qiu, Haolin Chen, Zhiwei Liu, Heng Ji, Weiran Yao, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang
2024	A	`conf`	AI Agent for Information Retrieval: Generating and Ranking. CIKM Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu
2024	A*	`conf`	APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets. NeurIPS 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
2024	J	`jnl`	APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. CoRR 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
2024	J	`jnl`	AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. CoRR 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
2024	J	`jnl`	AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. CoRR 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
2024	J	`jnl`	CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic. CoRR Huaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, Hua Wei
2024	J	`jnl`	CoSENT: Consistent Sentence Embedding via Similarity Ranking. IEEE ACM Trans. Audio Speech Lang. Process. Xiang Huang, Hao Peng, Dongcheng Zou, Zhiwei Liu, Jianxin Li, Kay Liu, Jia Wu, Jianlin Su, Philip S. Yu
2024	A	`conf`	Collaborative Alignment for Recommendation. CIKM Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu
2024	—	`conf`	Conditional Denoising Diffusion for Sequential Recommendation. PAKDD (5) Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2024	—	`conf`	DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. EACL (Findings) Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong
2024	J	`jnl`	Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. CoRR 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
2024	J	`jnl`	Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. CoRR Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu
2024	A*	`conf`	Instruction-based Hypergraph Pretraining. SIGIR Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024	J	`jnl`	Instruction-based Hypergraph Pretraining. CoRR Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024	A	`conf`	Knowledge Graph Context-Enhanced Diversified Recommendation. WSDM Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
2024	J	`jnl`	MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. CoRR 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
2024	J	`jnl`	PRACT: Optimizing Principled Reasoning and Acting of LLM Agent. CoRR 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
2024	B	`conf`	Personalized Multi-task Training for Recommender System. IEEE Big Data Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu
2024	J	`jnl`	Personalized Multi-task Training for Recommender System. CoRR Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu
2024	A*	`conf`	Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. KDD Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu
2024	A*	`conf`	Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. ICLR 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
2024	A	`conf`	Semi-Supervised Clustering via Structural Entropy with Different Constraints. SDM Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Runze Yang, Chunyang Liu, Lifang He
2024	J	`jnl`	SpecTool: A Benchmark for Characterizing Errors in Tool-Use LLMs. CoRR 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, Silvio Savarese
2024	J	`jnl`	TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action. CoRR 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
2024	A	`conf`	Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. SDM Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang
2024	J	`jnl`	Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection. IEEE Trans. Knowl. Data Eng. Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu
2024	A	`conf`	Unified Pretraining for Recommendation via Task Hypergraphs. WSDM Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024	J	`jnl`	xLAM: A Family of Large Action Models to Empower AI Agent Systems. CoRR 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
2023	J	`jnl`	Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing. CoRR Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
2023	J	`jnl`	BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. CoRR 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
2023	J	`jnl`	Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model. CoRR Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu
2023	J	`jnl`	Conditional Denoising Diffusion for Sequential Recommendation. CoRR Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2023	J	`jnl`	DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation. CoRR Yu Wang, Zhiwei Liu, Jianguo Zhang, Weiran Yao, Shelby Heinecke, Philip S. Yu
2023	J	`jnl`	DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. CoRR Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong
2023	J	`jnl`	Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER. ACM Trans. Asian Low Resour. Lang. Inf. Process. Tao Zhang, Congying Xia, Zhiwei Liu, Shu Zhao, Hao Peng, Philip S. Yu
2023	B	`conf`	Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. SIGDIAL Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
2023	J	`jnl`	Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. CoRR Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
2023	A	`conf`	Graph-based Alignment and Uniformity for Recommendation. CIKM Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
2023	J	`jnl`	Graph-based Alignment and Uniformity for Recommendation. CoRR Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
2023	A	`conf`	Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CIKM Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023	J	`jnl`	Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CoRR Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023	B	`conf`	Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. IEEE Big Data Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
2023	J	`jnl`	Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. CoRR Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
2023	J	`jnl`	Knowledge Graph Context-Enhanced Diversified Recommendation. CoRR Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
2023	B	`conf`	Multi-View Graph Convolution for Participant Recommendation. IEEE Big Data Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu
2023	A	`conf`	Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. RecSys Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu
2023	J	`jnl`	Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. CoRR Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu
2023	J	`jnl`	Multi-view Graph Convolution for Participant Recommendation. CoRR Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu
2023	A*	`conf`	Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. WWW Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
2023	J	`jnl`	Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. CoRR Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
2023	J	`jnl`	REX: Rapid Exploration and eXploitation for AI Agents. CoRR 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
2023	A	`conf`	Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. WSDM Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023	J	`jnl`	Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. CoRR 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
2023	J	`jnl`	Semi-Supervised Clustering via Structural Entropy with Different Constraints. CoRR Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Runze Yang, Chunyang Liu, Lifang He
2023	J	`jnl`	Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. CoRR Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang
2023	J	`jnl`	Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection. CoRR Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu
2023	J	`jnl`	Unified Pretraining for Recommendation via Task Hypergraphs. CoRR Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023	A*	`conf`	Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. ICDM Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He
2023	J	`jnl`	Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. CoRR Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He
2023	A	`conf`	Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CIKM Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu
2023	J	`jnl`	Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CoRR Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu
2022	—	`conf`	Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. ConvAI@ACL Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu, Caiming Xiong, Philip S. Yu
2022	J	`jnl`	Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering. CoRR Man Luo, Kazuma Hashimoto, Semih Yavuz, Zhiwei Liu, Chitta Baral, Yingbo Zhou
2022	A	`conf`	ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. CIKM Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2022	J	`jnl`	ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. CoRR Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2022	A	`conf`	Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CIKM Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022	J	`jnl`	Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CoRR Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022	—	`conf`	Deoscillated Adaptive Graph Collaborative Filtering. TAG-ML Zhiwei Liu, Lin Meng, Fei Jiang, Jiawei Zhang, Philip S. Yu
2022	A	`conf`	Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory. ICWS Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu
2022	J	`jnl`	Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory. CoRR Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu
2022	A	`conf`	Explanation Guided Contrastive Learning for Sequential Recommendation. CIKM Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao
2022	J	`jnl`	Explanation Guided Contrastive Learning for Sequential Recommendation. CoRR Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao
2022	J	`jnl`	Federated Social Recommendation with Graph Neural Network. ACM Trans. Intell. Syst. Technol. Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu
2022	J	`jnl`	Generating Negative Samples for Sequential Recommendation. CoRR Yongjun Chen, Jia Li, Zhiwei Liu, Nitish Shirish Keskar, Huan Wang, Julian J. McAuley, Caiming Xiong
2022	J	`jnl`	Improving Contrastive Learning with Model Augmentation. CoRR Zhiwei Liu, Yongjun Chen, Jia Li, Man Luo, Philip S. Yu, Caiming Xiong
2022	A*	`conf`	Intent Contrastive Learning for Sequential Recommendation. WWW Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong
2022	J	`jnl`	Intent Contrastive Learning for Sequential Recommendation. CoRR Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong
2022	A*	`conf`	Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. WWW Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
2022	J	`jnl`	Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. CoRR Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
2022	B	`conf`	MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. IEEE Big Data Shen Wang, Liangwei Yang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu
2022	J	`jnl`	MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. CoRR Liangwei Yang, Shen Wang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu
2022	J	`jnl`	Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. CoRR Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2022	A*	`conf`	Sequential Recommendation via Stochastic Self-Attention. WWW Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu
2022	J	`jnl`	Sequential Recommendation via Stochastic Self-Attention. CoRR Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu
2022	B	`conf`	Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. IEEE Big Data Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu
2022	J	`jnl`	Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. CoRR Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu
2021	A*	`conf`	Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. SIGIR Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu
2021	J	`jnl`	Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. CoRR Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu
2021	A*	`conf`	ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. SIGIR Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu
2021	J	`jnl`	ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. CoRR Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu
2021	A	`conf`	Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CIKM Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
2021	J	`jnl`	Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CoRR Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
2021	J	`jnl`	Contrastive Self-supervised Sequential Recommendation with Robust Augmentation. CoRR Zhiwei Liu, Yongjun Chen, Jia Li, Philip S. Yu, Julian J. McAuley, Caiming Xiong
2021	A	`conf`	DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. CIKM Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
2021	J	`jnl`	DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. CoRR Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
2021	—	`conf`	Deep Fraud Detection on Non-attributed Graph. IEEE BigData Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu
2021	J	`jnl`	Deep Fraud Detection on Non-attributed Graph. CoRR Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu
2021	J	`jnl`	Federated Social Recommendation with Graph Neural Network. CoRR Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu
2021	—	`conf`	Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. EMNLP (1) Jian-Guo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu
2021	J	`jnl`	Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. CoRR Jian-Guo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu
2021	J	`jnl`	Hop-Aware Dimension Optimization for Graph Neural Networks. CoRR Ailing Zeng, Minhao Liu, Zhiwei Liu, Ruiyuan Gao, Qiang Xu
2021	A	`conf`	Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. CIKM Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu
2021	J	`jnl`	Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. CoRR Ziwei Fan, Zhiwei Liu, Lei Zheng, Shen Wang, Philip S. Yu
2021	—	`conf`	PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition. EMNLP (1) Tao Zhang, Congying Xia, Philip S. Yu, Zhiwei Liu, Shu Zhao
2021	—	`conf`	Pre-training Graph Neural Network for Cross Domain Recommendation. CogMI Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu
2021	J	`jnl`	Pre-training Graph Neural Network for Cross Domain Recommendation. CoRR Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu
2021	—	`conf`	Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. IEEE BigData Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
2021	J	`jnl`	Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. CoRR Xiaohan Li, Zhiwei Liu, Stephen D. Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
2020	Misc	`conf`	A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. ICASSP Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan
2020	A*	`conf`	Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. SIGIR Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng
2020	J	`jnl`	Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. CoRR Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng
2020	A	`conf`	BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. SDM Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	J	`jnl`	BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. CoRR Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	—	`conf`	Basket Recommendation with Multi-Intent Translation Graph Neural Network. IEEE BigData Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	J	`jnl`	Basket Recommendation with Multi-Intent Translation Graph Neural Network. CoRR Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	J	`jnl`	Deoscillated Graph Collaborative Filtering. CoRR Zhiwei Liu, Lin Meng, Jiawei Zhang, Philip S. Yu
2020	A	`conf`	Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. CIKM Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
2020	J	`jnl`	Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. CoRR Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
2019	J	`jnl`	A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. CoRR Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan
2019	J	`jnl`	Embedding and predicting the event at early stage. World Wide Web Zhiwei Liu, Yang Yang, Zi Huang, Fumin Shen, Dongxiang Zhang, Heng Tao Shen
2019	—	`conf`	JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. IEEE BigData Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu
2019	J	`jnl`	JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. CoRR Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu
2019	—	`conf`	Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network. IEEE BigData Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu
2018	J	`jnl`	Unsupervised Meta-path Reduction on Heterogeneous Information Networks. CoRR Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu
2017	A*	`conf`	Event Early Embedding: Predicting Event Volume Dynamics at Early Stage. SIGIR Zhiwei Liu, Yang Yang, Zi Huang, Fumin Shen, Dongxiang Zhang, Heng Tao Shen