Defu Lian - RankMe

417 papers A* 110A 18B 3Misc 1Journal 227Unranked 57

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentCAT: An LLM Agent for Extracting and Analyzing Catalytic Reaction Data from Chemical Engineering Literature. CoRR Wei Yang, Zihao Liu, Tao Tan, Xiao Hu, Hong Xie, Lulu Li Xin Li, Jianyu Han, Defu Lian, Mao Ye
2026	J	`jnl`	Beyond Raw Detection Scores: Markov-Informed Calibration for Boosting Machine-Generated Text Detection. CoRR Chenwang Wu, Yiu-ming Cheung, Shuhai Zhang, Bo Han, Defu Lian
2026	J	`jnl`	Beyond Surrogates: A Quantitative Analysis for Inter-Metric Relationships. CoRR Yuanhao Pu, Defu Lian, Enhong Chen
2026	J	`jnl`	Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control. CoRR Luankang Zhang, Hao Wang, Zhongzhou Liu, Mingjia Yin, Yonghao Huang, Jiaqi Li, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Enhong Chen
2026	J	`jnl`	CeProAgents: A Hierarchical Agents System for Automated Chemical Process Development. CoRR Yuhang Yang, Ruikang Li, Jifei Ma, Kai Zhang, Qi Liu, Jianyu Han, Yonggan Bu, Jibin Zhou, Defu Lian, Xin Li, Enhong Chen
2026	J	`jnl`	DeepXiv-SDK: An Agentic Data Interface for Scientific Literature. CoRR Hongjin Qian, Ziyi Xia, Ze Liu, Jianlyu Chen, Kun Luo, Minghao Qin, Chaofan Li, Lei Xiong, Junwei Lan, Sen Wang, Zhengyang Liang, Yingxia Shao, Defu Lian, Zheng Liu
2026	J	`jnl`	Demystifying Design Choices of Reinforcement Fine-tuning: A Batched Contextual Bandit Learning Perspective. CoRR Hong Xie, Xiao Hu, Tao Tan, Haoran Gu, Xin Li, Jianyu Han, Defu Lian, Enhong Chen
2026	J	`jnl`	Efficient and Stable Reinforcement Learning for Diffusion Language Models. CoRR Jiawei Liu, Xiting Wang, Yuanyuan Zhong, Defu Lian, Yu Yang
2026	J	`jnl`	FuXi-Linear: Unleashing the Power of Linear Attention in Long-term Time-aware Sequential Recommendation. CoRR Yufei Ye, Wei Guo, Hao Wang, Luankang Zhang, Heng Chang, Hong Zhu, Yuyang Ye, Yong Liu, Defu Lian, Enhong Chen
2026	—	`conf`	HumanLLM: Towards Personalized Understanding and Simulation of Human Nature. KDD (1) Yuxuan Lei, Tianfu Wang, Jianxun Lian, Zhengyu Hu, Defu Lian, Xing Xie
2026	J	`jnl`	HumanLLM: Towards Personalized Understanding and Simulation of Human Nature. CoRR Yuxuan Lei, Tianfu Wang, Jianxun Lian, Zhengyu Hu, Defu Lian, Xing Xie
2026	J	`jnl`	Interactive graph convolutional filtering. Artif. Intell. Jin Zhang, Defu Lian, Hong Xie, Yawen Li, Enhong Chen
2026	J	`jnl`	Is Softmax Loss All You Need? A Principled Analysis of Softmax-family Loss. CoRR Yuanhao Pu, Defu Lian, Enhong Chen
2026	J	`jnl`	Learning Deep Tree-Based Retriever for Efficient Recommendation: Theory and Method. IEEE Trans. Pattern Anal. Mach. Intell. Ze Liu, Jin Zhang, Defu Lian, Chao Feng, Jie Wang, Enhong Chen
2026	J	`jnl`	Model Specific Task Similarity for Vision Language Model Selection via Layer Conductance. CoRR Wei Yang, Hong Xie, Tao Tan, Xin Li, Defu Lian, Enhong Chen
2026	A*	`conf`	Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing. AAAI Hong Xie, Haoran Gu, Yanying Huang, Tao Tan, Defu Lian
2026	J	`jnl`	Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models. Big Data Min. Anal. Tingjia Shen, Hao Wang, Chuan Qin, Ruijun Sun, Yang Song, Defu Lian, Hengshu Zhu, Enhong Chen
2026	J	`jnl`	Rethinking Reinforcement fine-tuning of LLMs: A Multi-armed Bandit Learning Perspective. CoRR Xiao Hu, Hong Xie, Tao Tan, Defu Lian, Jianyu Han
2026	J	`jnl`	Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models. CoRR Zhaoyi Li, Jiatong Li, Gangwei Jiang, Linqi Song, Defu Lian, Ying Wei
2026	J	`jnl`	SpecSteer: Synergizing Local Context and Global Reasoning for Efficient Personalized Generation. CoRR Hang Lv, Sheng Liang, Hao Wang, Yongyue Zhang, Hongchao Gu, Wei Guo, Defu Lian, Yong Liu, Enhong Chen
2026	J	`jnl`	Targeted attack via adversarial patch outside bounding box. Pattern Recognit. Kang Deng, Qixiang Chen, Yu Zhang, Zhi Lin, Shenjian Gong, Zhenyu Liang, Anjie Peng, Xing Yang, Defu Lian
2026	J	`jnl`	WESE: weak exploration to strong exploitation for LLM agents. Sci. China Inf. Sci. Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
2025	J	`jnl`	A Unified Frequency Domain Decomposition Framework for Interpretable and Robust Time Series Forecasting. CoRR Cheng He, Xijie Liang, Zengrong Zheng, Patrick P. C. Lee, Xu Huang, Zhaoyi Li, Hong Xie, Defu Lian, Enhong Chen
2025	—	`conf`	A Universal Framework for Compressing Embeddings in CTR Prediction. DASFAA (2) Kefan Wang, Hao Wang, Kenan Song, Wei Guo, Kai Cheng, Zhi Li, Yong Liu, Defu Lian, Enhong Chen
2025	J	`jnl`	A Universal Framework for Compressing Embeddings in CTR Prediction. CoRR Kefan Wang, Hao Wang, Kenan Song, Wei Guo, Kai Cheng, Zhi Li, Yong Liu, Defu Lian, Enhong Chen
2025	J	`jnl`	ACEBench: Who Wins the Match Point in Tool Learning? CoRR Chen Chen, Xinlong Hao, Weiwen Liu, Xu Huang, Xingshan Zeng, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Yuefeng Huang, Wulong Liu, Xinzhi Wang, Defu Lian, Baoqun Yin, Yasheng Wang, Wu Liu
2025	—	`conf`	AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark. ACL (1) Jianlyu Chen, Nan Wang, Chaofan Li, Bo Wang, Shitao Xiao, Han Xiao, Hao Liao, Defu Lian, Zheng Liu
2025	J	`jnl`	Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications. CoRR Jin Chen, Jin Zhang, Xu Huang, Yi Yang, Defu Lian, Enhong Chen
2025	J	`jnl`	Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective. CoRR Chenwang Wu, Yiu-ming Cheung, Bo Han, Defu Lian
2025	J	`jnl`	Advancing and Benchmarking Personalized Tool Invocation for LLMs. CoRR Xu Huang, Yuefeng Huang, Weiwen Liu, Xingshan Zeng, Yasheng Wang, Ruiming Tang, Hong Xie, Defu Lian
2025	—	`conf`	Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval. ACL (1) Zheng Liu, Ze Liu, Zhengyang Liang, Junjie Zhou, Shitao Xiao, Chao Gao, Chen Jason Zhang, Defu Lian
2025	J	`jnl`	Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval. CoRR Ze Liu, Zhengyang Liang, Junjie Zhou, Zheng Liu, Defu Lian
2025	J	`jnl`	Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation. Trans. Recomm. Syst. Yuanhao Pu, Rui Fan, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen
2025	—	`conf`	Boosting Long-Context Information Seeking via Query-Guided Activation Refilling. ACL (1) Hongjin Qian, Zheng Liu, Peitian Zhang, Zhicheng Dou, Defu Lian
2025	—	`conf`	Breaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation. KDD (2) Wenjia Xie, Hao Wang, Minghao Fang, Ruize Yu, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
2025	J	`jnl`	CoSteer: Collaborative Decoding-Time Personalization via Local Delta Steering. CoRR Hang Lv, Sheng Liang, Hao Wang, Hongchao Gu, Yaxiong Wu, Wei Guo, Defu Lian, Yong Liu, Enhong Chen
2025	J	`jnl`	Composable Score-based Graph Diffusion Model for Multi-Conditional Molecular Generation. CoRR Anjie Qiao, Zhen Wang, Chuan Chen, Defu Lian, Enhong Chen
2025	A*	`conf`	Conflict-Buffering Optimization by Symmetry Teleportation for Deep Long-Tailed Recognition. ACM Multimedia Mianzimei Yang, Zhipeng Zhou, Jin Zhang, Yuanhao Pu, Hong Xie, Defu Lian
2025	A	`conf`	Cross-Domain Pre-training with Language Models for Transferable Time Series Representations. WSDM Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Defu Lian
2025	A*	`conf`	DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction. SIGIR Kefan Wang, Hao Wang, Wei Guo, Yong Liu, Jianghao Lin, Defu Lian, Enhong Chen
2025	J	`jnl`	DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction. CoRR Kefan Wang, Hao Wang, Wei Guo, Yong Liu, Jianghao Lin, Defu Lian, Enhong Chen
2025	A*	`conf`	DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. ICDE Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min
2025	A	`conf`	DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. WSDM Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou
2025	J	`jnl`	Dual Test-Time Training for Out-of-Distribution Recommender System. IEEE Trans. Knowl. Data Eng. Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian
2025	J	`jnl`	EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling. CoRR Xin Luo, Jiahao Wang, Chenyuan Wu, Shitao Xiao, Xiyan Jiang, Defu Lian, Jiajun Zhang, Dong Li, Zheng Liu
2025	J	`jnl`	EduStudio: towards a unified library for student cognitive modeling. Frontiers Comput. Sci. Le Wu, Xiangzhi Chen, Fei Liu, Junsong Xie, Chenao Xia, Zhengtao Tan, Mi Tian, Jinglong Li, Kun Zhang, Defu Lian, Richang Hong, Meng Wang
2025	B	`conf`	Efficient Data Labeling by Hierarchical Crowdsourcing with Large Language Models. COLING Haodi Zhang, Junyu Yang, Jinyin Nie, Peirou Liang, Kaishun Wu, Defu Lian, Rui Mao, Yuanfeng Song
2025	J	`jnl`	Efficient Machine Unlearning via Influence Approximation. CoRR Jiawei Liu, Chenwang Wu, Defu Lian, Enhong Chen
2025	J	`jnl`	EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning. CoRR Jiawei Liu, Qisi Chen, Jianshu Zhang, Quan Liu, Defu Lian
2025	—	`conf`	Exploring the Choice Behavior of Large Language Models. ACL (Findings) Weidong Wu, Qinlin Zhao, Hao Chen, Lexin Zhou, Defu Lian, Hong Xie
2025	A*	`conf`	Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width. WWW Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Chen Jason Zhang, Hao Liao, Defu Lian, Yingxia Shao
2025	A*	`conf`	From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models. ICML Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen
2025	J	`jnl`	From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models. CoRR Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen
2025	—	`conf`	FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. WWW (Companion Volume) Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2025	J	`jnl`	FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. CoRR Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2025	J	`jnl`	FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model. CoRR Yufei Ye, Wei Guo, Hao Wang, Hong Zhu, Yuyang Ye, Yong Liu, Huifeng Guo, Ruiming Tang, Defu Lian, Enhong Chen
2025	J	`jnl`	GenKI: Enhancing Open-Domain Question Answering with Knowledge Integration and Controllable Generation in Large Language Models. CoRR Tingjia Shen, Hao Wang, Chuan Qin, Ruijun Sun, Yang Song, Defu Lian, Hengshu Zhu, Enhong Chen
2025	J	`jnl`	General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data. CoRR Cheng He, Xu Huang, Gangwei Jiang, Zhaoyi Li, Defu Lian, Hong Xie, Enhong Chen, Xijie Liang, Zengrong Zheng
2025	—	`conf`	Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation. WWW (Companion Volume) Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2025	J	`jnl`	Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation. CoRR Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2025	J	`jnl`	HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks. CoRR Hongjin Qian, Zheng Liu, Chao Gao, Yankai Wang, Defu Lian, Zhicheng Dou
2025	J	`jnl`	How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control. CoRR Hao Yu, Chu Xin Cheng, Runlong Yu, Yuyang Ye, Shiwei Tong, Zhaofeng Liu, Defu Lian
2025	—	`conf`	HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation. WWW (Companion Volume) Xu Huang, Xiaolong Chen, Yichao Wang, Weiwen Liu, Yang Yang, Xingmei Wang, Defu Lian, Ruiming Tang
2025	A*	`conf`	HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking. ICML Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu
2025	J	`jnl`	HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking. CoRR Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu
2025	—	`conf`	Internal Value Alignment in Large Language Models through Controlled Value Vector Activation. ACL (1) Haoran Jin, Meng Li, Xiting Wang, Zhihao Xu, Minlie Huang, Yantao Jia, Defu Lian
2025	J	`jnl`	Internal Value Alignment in Large Language Models through Controlled Value Vector Activation. CoRR Haoran Jin, Meng Li, Xiting Wang, Zhihao Xu, Minlie Huang, Yantao Jia, Defu Lian
2025	J	`jnl`	Invariant representation learning via decoupling style and spurious features. Mach. Learn. Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Chenwang Wu, Hong Xie, Defu Lian
2025	A*	`conf`	Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model. SIGIR Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen
2025	J	`jnl`	Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model. CoRR Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen
2025	J	`jnl`	LLM Cache Bandit Revisited: Addressing Query Heterogeneity for Cost-Effective LLM Inference. CoRR Hantao Yang, Hong Xie, Defu Lian, Enhong Chen
2025	J	`jnl`	Learning to Substitute Components for Compositional Generalization. CoRR Zhaoyi Li, Gangwei Jiang, Chenwang Wu, Ying Wei, Defu Lian, Enhong Chen
2025	A	`conf`	Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. WSDM Chenyuan Wu, Ninglu Shao, Zheng Liu, Shitao Xiao, Chaozhuo Li, Chen Zhang, Senzhang Wang, Defu Lian
2025	—	`conf`	M KDD (2) Hongyi Xie, Min Zhou, Qiao Yu, Jialiang Yu, Zhenli Sheng, Hong Xie, Defu Lian
2025	J	`jnl`	M CoRR Hongyi Xie, Min Zhou, Qiao Yu, Jialiang Yu, Zhenli Sheng, Hong Xie, Defu Lian
2025	—	`conf`	MIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling. WWW (Companion Volume) Rui Zhou, Hao Wang, Wei Guo, Qinglin Jia, Wenjia Xie, Xiang Xu, Yong Liu, Defu Lian, Enhong Chen
2025	J	`jnl`	MR CoRR Junjie Zhou, Ze Liu, Lei Xiong, Jin-Ge Yao, Yueze Wang, Shitao Xiao, Fenfen Lin, Miguel Hu Chen, Zhicheng Dou, Siqi Bao, Defu Lian, Yongping Xiong, Zheng Liu
2025	A*	`conf`	Making Text Embedders Few-Shot Learners. ICLR Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Defu Lian, Yingxia Shao, Zheng Liu
2025	A*	`conf`	Making Transformer Decoders Better Differentiable Indexers. ICLR Wuchao Li, Kai Zheng, Defu Lian, Qi Liu, Wentian Bao, Yunen Yu, Yang Song, Han Li, Kun Gai
2025	J	`jnl`	Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width. CoRR Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Defu Lian, Yingxia Shao
2025	—	`conf`	MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval. ACL (1) Junjie Zhou, Yongping Xiong, Zheng Liu, Ze Liu, Shitao Xiao, Yueze Wang, Bo Zhao, Chen Jason Zhang, Defu Lian
2025	A*	`conf`	MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation. WWW Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Defu Lian, Zhicheng Dou, Tiejun Huang
2025	J	`jnl`	Modality-Disentangled Feature Extraction via Knowledge Distillation in Multimodal Recommendation Systems. IEEE Trans. Comput. Soc. Syst. Haibing Hu, Yangyi Xie, Defu Lian, Kai Han
2025	J	`jnl`	Multi-View Heterogeneous HyperGNN for Heterophilic Knowledge Combination Prediction. IEEE Trans. Big Data Huijie Liu, Shulan Ruan, Han Wu, Zhenya Huang, Defu Lian, Qi Liu, Enhong Chen
2025	—	`conf`	Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction. KDD (1) Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen
2025	J	`jnl`	Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing. CoRR Hong Xie, Haoran Gu, Yanying Huang, Tao Tan, Defu Lian
2025	J	`jnl`	NDCG-Consistent Softmax Approximation with Accelerated Convergence. CoRR Yuanhao Pu, Defu Lian, Xiaolong Chen, Xu Huang, Jin Chen, Enhong Chen
2025	J	`jnl`	O1 Embedder: Let Retrievers Think Before Action. CoRR Ruiran Yan, Zheng Liu, Defu Lian
2025	J	`jnl`	OmniGen2: Exploration to Advanced Multimodal Generation. CoRR Chenyuan Wu, Pengfei Zheng, Ruiran Yan, Shitao Xiao, Xin Luo, Yueze Wang, Wanli Li, Xiyan Jiang, Yexin Liu, Junjie Zhou, Ze Liu, Ziyi Xia, Chaofan Li, Haoge Deng, Jiahao Wang, Kun Luo, Bo Zhang, Defu Lian, Xinlong Wang, Zhongyuan Wang, Tiejun Huang, Zheng Liu
2025	J	`jnl`	Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. Wenjie Wang, Zheng Liu, Fuli Feng, Zhicheng Dou, Qingyao Ai, Grace Hui Yang, Defu Lian, Lu Hou, Aixin Sun, Hamed Zamani, Donald Metzler, Maarten de Rijke
2025	J	`jnl`	Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2. ACM Trans. Inf. Syst. Wenjie Wang, Zheng Liu, Fuli Feng, Zhicheng Dou, Qingyao Ai, Grace Hui Yang, Defu Lian, Lu Hou, Aixin Sun, Hamed Zamani, Donald Metzler, Maarten de Rijke
2025	—	`conf`	RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery. ACL (Findings) Hongchao Gu, Dexun Li, Kuicai Dong, Hao Zhang, Hang Lv, Hao Wang, Defu Lian, Yong Liu, Enhong Chen
2025	J	`jnl`	RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery. CoRR Hongchao Gu, Dexun Li, Kuicai Dong, Hao Zhang, Hang Lv, Hao Wang, Defu Lian, Yong Liu, Enhong Chen
2025	J	`jnl`	ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval. CoRR Jianlyu Chen, Junwei Lan, Chaofan Li, Defu Lian, Zheng Liu
2025	A*	`conf`	RecFlow: An Industrial Full Flow Recommendation Dataset. ICLR Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai
2025	J	`jnl`	Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. ACM Trans. Inf. Syst. Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie
2025	—	`conf`	Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval. ACL (1) Chaofan Li, Jianlyu Chen, Yingxia Shao, Chaozhuo Li, Quanqing Xu, Defu Lian, Zheng Liu
2025	J	`jnl`	Reinforced Information Retrieval. CoRR Chaofan Li, Zheng Liu, Jianlyv Chen, Defu Lian, Yingxia Shao
2025	J	`jnl`	Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval. CoRR Junwei Lan, Jianlyu Chen, Zheng Liu, Chaofan Li, Siqi Bao, Defu Lian
2025	—	`conf`	Robust Tree-based Learned Vector Index with Query-aware Repartitioning. KDD (2) Wenqing Wei, Defu Lian, Qingshuai Feng, Yongji Wu
2025	J	`jnl`	Semantic Relation Guided Dual-view Contrastive Learning for Session-based Recommendations. ACM Trans. Inf. Syst. Qian Zhang, Shoujin Wang, Longbing Cao, Defu Lian, Haibo Zhang, Wenpeng Lu
2025	A*	`conf`	TDDBench: A Benchmark for Training data detection. ICLR Zhihao Zhu, Yi Yang, Defu Lian
2025	A	`conf`	Taming Ultra-Long Behavior Sequence in Session-wise Generative Recommendation. CIKM Wuchao Li, Shiyao Wang, Kuo Cai, Jiaxin Deng, Xingmei Wang, Qigen Hu, Defu Lian, Guorui Zhou
2025	J	`jnl`	The Real Barrier to LLM Agent Usability is Agentic ROI. CoRR Weiwen Liu, Jiarui Qin, Xu Huang, Xingshan Zeng, Yunjia Xi, Jianghao Lin, Chuhan Wu, Yasheng Wang, Lifeng Shang, Ruiming Tang, Defu Lian, Yong Yu, Weinan Zhang
2025	J	`jnl`	ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution. CoRR Xu Huang, Weiwen Liu, Xingshan Zeng, Yuefeng Huang, Xinlong Hao, Yuxian Wang, Yirong Zeng, Chuhan Wu, Yasheng Wang, Ruiming Tang, Defu Lian
2025	A*	`conf`	ToolACE: Winning the Points of LLM Function Calling. ICLR Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen
2025	J	`jnl`	Towards A Generalist Code Embedding Model Based On Massive Data Synthesis. CoRR Chaofan Li, Jianlyu Chen, Yingxia Shao, Defu Lian, Zheng Liu
2025	A	`conf`	Transformers are Good Clusterers for Lifelong User Behavior Sequence Modeling. CIKM Xingmei Wang, Shiyao Wang, Wuchao Li, Jiaxin Deng, Song Lu, Defu Lian, Guorui Zhou
2025	A	`conf`	Trustworthy Knowledge Discovery and Data Mining (TrustKDD). CIKM Le Wu, Jindong Wang, Ling Chen, Xiangyu Zhao, Kui Yu, Yashar Deldjoo, Defu Lian
2025	—	`conf`	Understanding the Effect of Loss Functions on the Generalization of Recommendations. KDD (1) Yuanhao Pu, Defu Lian, Xiaolong Chen, Jin Chen, Ze Liu, Enhong Chen
2025	A*	`conf`	Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning. ICLR Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei
2025	J	`jnl`	Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning. CoRR Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei
2025	A*	`conf`	What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning. EMNLP Gangwei Jiang, Yahui Liu, Zhaoyi Li, Wei Bi, Fuzheng Zhang, Linqi Song, Ying Wei, Defu Lian
2025	J	`jnl`	What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning. CoRR Gangwei Jiang, Yahui Liu, Zhaoyi Li, Qi Wang, Fuzheng Zhang, Linqi Song, Ying Wei, Defu Lian
2024	A*	`conf`	A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. WWW Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie
2024	—	`conf`	A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. DASFAA (3) Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen
2024	J	`jnl`	A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. CoRR Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen
2024	J	`jnl`	AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark. CoRR Jianlyu Chen, Nan Wang, Chaofan Li, Bo Wang, Shitao Xiao, Han Xiao, Hao Liao, Defu Lian, Zheng Liu
2024	A*	`conf`	AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction. AAAI Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei
2024	A*	`conf`	Adaptive Order Q-learning. IJCAI Tao Tan, Hong Xie, Defu Lian
2024	—	`conf`	Aligning Language Models for Versatile Text-based Item Retrieval. WWW (Companion Volume) Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie
2024	J	`jnl`	Aligning Language Models for Versatile Text-based Item Retrieval. CoRR Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie
2024	J	`jnl`	Analytical and Empirical Study of Herding Effects in Recommendation Systems. CoRR Hong Xie, Mingze Zhong, Defu Lian, Zhen Wang, Enhong Chen
2024	J	`jnl`	Attacking Social Media via Behavior Poisoning. ACM Trans. Knowl. Discov. Data Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen
2024	J	`jnl`	Average User-Side Counterfactual Fairness for Collaborative Filtering. ACM Trans. Inf. Syst. Pengyang Shao, Le Wu, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang
2024	J	`jnl`	BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. CoRR Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, Zheng Liu
2024	—	`conf`	Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. ACL (1) Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao
2024	J	`jnl`	Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. CoRR Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao
2024	J	`jnl`	Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao
2024	J	`jnl`	Boosting Long-Context Management via Query-Guided Activation Refilling. CoRR Hongjin Qian, Zheng Liu, Peitian Zhang, Zhicheng Dou, Defu Lian
2024	A*	`conf`	Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model. NeurIPS Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen
2024	J	`jnl`	Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model. CoRR Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen
2024	A*	`conf`	C-Pack: Packed Resources For General Chinese Embeddings. SIGIR Shitao Xiao, Zheng Liu, Peitian Zhang, Niklas Muennighoff, Defu Lian, Jian-Yun Nie
2024	J	`jnl`	CELA: Cost-Efficient Language Model Alignment for CTR Prediction. CoRR Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang
2024	J	`jnl`	ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models. CoRR Yuqing Huang, Rongyang Zhang, Xuesong He, Xuyang Zhi, Hao Wang, Xin Li, Feiyang Xu, Deguang Liu, Huadong Liang, Yi Li, Jian Cui, Zimu Liu, Shijin Wang, Guoping Hu, Guiquan Liu, Qi Liu, Defu Lian, Enhong Chen
2024	J	`jnl`	DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. CoRR Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min
2024	A*	`conf`	Dataset Regeneration for Sequential Recommendation. KDD Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen
2024	J	`jnl`	Dataset Regeneration for Sequential Recommendation. CoRR Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen
2024	J	`jnl`	Deep Tree-based Retrieval for Efficient Recommendation: Theory and Method. CoRR Ze Liu, Jin Zhang, Chao Feng, Defu Lian, Jie Wang, Enhong Chen
2024	J	`jnl`	Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation. CoRR Hao Wang, Yongqiang Han, Kefan Wang, Kai Cheng, Zhen Wang, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
2024	J	`jnl`	DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. CoRR Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou
2024	—	`conf`	Document Hashing by Exploiting Noisy Neighborhood Information with Fault-Tolerant Mutual-Information-Preserving VAE. DASFAA (2) Jiayang Chen, Qinliang Su, Zetong Li, Hai Wan, Defu Lian
2024	J	`jnl`	Dual Test-time Training for Out-of-distribution Recommender System. CoRR Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian
2024	J	`jnl`	END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. CoRR Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
2024	A*	`conf`	Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. WWW Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
2024	J	`jnl`	Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction. CoRR Qi Liu, Xingyuan Tang, Jianqiang Huang, Xiangqian Yu, Haoran Jin, Jin Chen, Yuanhao Pu, Defu Lian, Tan Qu, Zhe Wang, Jia Cheng, Jun Lei
2024	J	`jnl`	Entropy Law: The Story Behind Data Compression and LLM Performance. CoRR Mingjia Yin, Chuhan Wu, Yufei Wang, Hao Wang, Wei Guo, Yasheng Wang, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2024	J	`jnl`	Evaluating Concept-based Explanations of Language Models: A Study on Faithfulness and Readability. CoRR Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang
2024	A*	`conf`	Evaluating Readability and Faithfulness of Concept-based Explanations. EMNLP Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang
2024	J	`jnl`	Event Assignment Based on KBQA for Government Service Hotlines. Appl. Artif. Intell. Yongzhang Wang, Defu Lian, Enhong Chen
2024	J	`jnl`	Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation. CoRR Tingjia Shen, Hao Wang, Jiaqing Zhang, Sirui Zhao, Liangyue Li, Zulong Chen, Defu Lian, Enhong Chen
2024	A*	`conf`	Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. AAAI Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen
2024	J	`jnl`	Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. CoRR Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen
2024	A*	`conf`	FilterNet: Harnessing Frequency Filters for Time Series Forecasting. NeurIPS Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan
2024	J	`jnl`	FilterNet: Harnessing Frequency Filters for Time Series Forecasting. CoRR Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan
2024	J	`jnl`	Foundations and Frontiers of Graph Learning Theory. CoRR Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen
2024	J	`jnl`	Fraud Detection Based on Credit Review Texts with Dual Channel Memory Networks. Appl. Artif. Intell. Yansong Wang, Defu Lian, Enhong Chen
2024	A*	`conf`	Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure. NeurIPS Jin Zhang, Ze Liu, Defu Lian, Enhong Chen
2024	—	`conf`	Information Retrieval Meets Large Language Models. WWW (Companion Volume) Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie
2024	J	`jnl`	Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector. CoRR Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei
2024	J	`jnl`	Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias. IEEE Trans. Pattern Anal. Mach. Intell. Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu
2024	J	`jnl`	Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation. CoRR Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Zhi Li, Sirui Zhao, Defu Lian, Enhong Chen
2024	J	`jnl`	Learning Relation-Enhanced Hierarchical Solver for Math Word Problems. IEEE Trans. Neural Networks Learn. Syst. Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Defu Lian, Xin Li, Hao Wang
2024	A*	`conf`	Learning from Highly Sparse Spatio-temporal Data. NeurIPS Leyan Deng, Chenwang Wu, Defu Lian, Enhong Chen
2024	A*	`conf`	Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. ICML Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen
2024	J	`jnl`	Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. CoRR Zheng Liu, Chenyuan Wu, Ninglu Shao, Shitao Xiao, Chaozhuo Li, Defu Lian
2024	—	`conf`	Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval. ACL (1) Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian
2024	—	`conf`	M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. ACL (Findings) Jianlyu Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, Zheng Liu
2024	—	`conf`	MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation. WISE (3) Junxiong Tong, Mingjia Yin, Hao Wang, Qiushi Pan, Defu Lian, Enhong Chen
2024	J	`jnl`	MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation. CoRR Junxiong Tong, Mingjia Yin, Hao Wang, Qiushi Pan, Defu Lian, Enhong Chen
2024	J	`jnl`	Making Text Embedders Few-Shot Learners. CoRR Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Yingxia Shao, Defu Lian, Zheng Liu
2024	J	`jnl`	MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval. CoRR Junjie Zhou, Zheng Liu, Ze Liu, Shitao Xiao, Yueze Wang, Bo Zhao, Chen Jason Zhang, Defu Lian, Yongping Xiong
2024	—	`conf`	Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning. ACL (Findings) Chenyuan Wu, Gangwei Jiang, Defu Lian
2024	J	`jnl`	Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning. CoRR Chenyuan Wu, Gangwei Jiang, Defu Lian
2024	A*	`conf`	Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. EMNLP Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei
2024	J	`jnl`	Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. CoRR Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei
2024	A	`conf`	Multi-Task Recommendation with Task Information Decoupling. CIKM Ruiran Yan, Rui Fan, Defu Lian
2024	J	`jnl`	Multi-agent Multi-armed Bandits with Stochastic Sharable Arm Capacities. CoRR Hong Xie, Jinyu Mo, Defu Lian, Jie Wang, Enhong Chen
2024	J	`jnl`	Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction. CoRR Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen
2024	A*	`conf`	NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation. ICLR Pengfei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han
2024	J	`jnl`	NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation. CoRR Pengfei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han
2024	—	`conf`	On the Vulnerability of Safety Alignment in Open-Access LLMs. ACL (Findings) Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu
2024	A	`conf`	Out-of-Distribution Generalization via Style and Spuriousness Eliminating. ICME Kaiyu Jin, Chenwang Wu, Defu Lian
2024	J	`jnl`	PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. CoRR Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou
2024	J	`jnl`	PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. Proc. VLDB Endow. Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou
2024	J	`jnl`	PilotScope: Steering Databases with Machine Learning Drivers. Proc. VLDB Endow. Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou
2024	J	`jnl`	Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights. CoRR Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen
2024	J	`jnl`	Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors. CoRR Guanghua Li, Wensheng Lu, Wei Zhang, Defu Lian, Kezhong Lu, Rui Mao, Kai Shu, Hao Liao
2024	A*	`conf`	RecExplainer: Aligning Large Language Models for Explaining Recommendation Models. KDD Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
2024	J	`jnl`	RecFlow: An Industrial Full Flow Recommendation Dataset. CoRR Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai
2024	J	`jnl`	Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. ACM Trans. Inf. Syst. Xiaoyu Shi, Quanliang Liu, Hong Xie, Di Wu, Bo Peng, Mingsheng Shang, Defu Lian
2024	J	`jnl`	Scaling New Frontiers: Insights into Large Recommendation Models. CoRR Wei Guo, Hao Wang, Luankang Zhang, Jin Yao Chin, Zhongzhou Liu, Kai Cheng, Qiushi Pan, Yi Quan Lee, Wanqi Xue, Tingjia Shen, Kenan Song, Kefan Wang, Wenjia Xie, Yuyang Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2024	J	`jnl`	Securing Recommender System via Cooperative Training. CoRR Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen
2024	J	`jnl`	Spatial and Temporal User Interest Representations for Sequential Recommendation. IEEE Trans. Comput. Soc. Syst. Haibing Hu, Kai Han, Zhizhuo Yin, Defu Lian
2024	J	`jnl`	TDDBench: A Benchmark for Training data detection. CoRR Zhihao Zhu, Yi Yang, Defu Lian
2024	J	`jnl`	ToolACE: Winning the Points of LLM Function Calling. CoRR Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen
2024	J	`jnl`	Training Recommenders Over Large Item Corpus With Importance Sampling. IEEE Trans. Knowl. Data Eng. Defu Lian, Zhenguo Gao, Xia Song, Yucheng Li, Qi Liu, Enhong Chen
2024	J	`jnl`	Understanding Privacy Risks of Embeddings Induced by Large Language Models. CoRR Zhihao Zhu, Ninglu Shao, Defu Lian, Chenwang Wu, Zheng Liu, Yi Yang, Enhong Chen
2024	—	`conf`	Understanding and Patching Compositional Reasoning in LLMs. ACL (Findings) Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei
2024	J	`jnl`	Understanding and Patching Compositional Reasoning in LLMs. CoRR Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei
2024	J	`jnl`	Understanding the planning of LLM agents: A survey. CoRR Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
2024	—	`conf`	UniDM: A Unified Framework for Data Manipulation with Large Language Models. MLSys Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou
2024	J	`jnl`	UniDM: A Unified Framework for Data Manipulation with Large Language Models. CoRR Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou
2024	A	`conf`	UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. CIKM Qi Liu, Yongyi He, Tong Xu, Defu Lian, Che Liu, Zhi Zheng, Enhong Chen
2024	J	`jnl`	UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. CoRR Qi Liu, Yongyi He, Defu Lian, Zhi Zheng, Tong Xu, Liu Che, Enhong Chen
2024	J	`jnl`	WESE: Weak Exploration to Strong Exploitation for LLM Agents. CoRR Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
2024	J	`jnl`	When large language models meet personalization: perspectives of challenges and opportunities. World Wide Web (WWW) Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Kai Zheng, Defu Lian, Enhong Chen
2023	J	`jnl`	1DFormer: Learning 1D Landmark Representations via Transformer for Facial Landmark Tracking. CoRR Shi Yin, Shijie Huan, Defu Lian, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu
2023	A*	`conf`	A Causality Inspired Framework for Model Interpretation. KDD Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen
2023	J	`jnl`	A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. CoRR Xu Huang, Jianxun Lian, Hao Wang, Defu Lian, Xing Xie
2023	J	`jnl`	A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence. CoRR Zheli Xiong, Defu Lian, Enhong Chen, Gang Chen, Xiaomin Cheng
2023	—	`conf`	A Simple and Robust Ensemble For Click-Through Rate Prediction. RecSys Challenge Xingmei Wang, Yankai Wang, Defu Lian
2023	A	`conf`	APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CIKM Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2023	J	`jnl`	APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CoRR Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2023	J	`jnl`	AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction. CoRR Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei
2023	J	`jnl`	An Efficient and Robust Semantic Hashing Framework for Similar Text Search. ACM Trans. Inf. Syst. Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, Shijin Wang
2023	A*	`conf`	AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. WWW Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen
2023	A	`conf`	Batch-Mix Negative Sampling for Learning Recommendation Retrievers. CIKM Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng
2023	—	`conf`	Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders. DASFAA (Workshops) Yucheng Li, Defu Lian, Jin Chen
2023	A*	`conf`	Cooperative Retriever and Ranker in Deep Recommenders. WWW Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen
2023	J	`jnl`	Decoupled Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen
2023	J	`jnl`	Deep Cross-Attention Network for Crowdfunding Success Prediction. IEEE Trans. Multim. Zhe Tang, Yi Yang, Wen Li, Defu Lian, Lixin Duan
2023	J	`jnl`	Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction. CoRR Qi Liu, Xuyang Hou, Haoran Jin, Jin Chen, Zhe Wang, Defu Lian, Tan Qu, Jia Cheng, Jun Lei
2023	A	`conf`	Deep Task-specific Bottom Representation Network for Multi-Task Recommendation. CIKM Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian
2023	J	`jnl`	Deep Task-specific Bottom Representation Network for Multi-Task Recommendation. CoRR Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian
2023	A*	`conf`	Differentiable Optimized Product Quantization and Beyond. WWW Zepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen
2023	J	`jnl`	Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation Systems. IEEE Trans. Big Data Fulan Qian, Bei Yuan, Hai Chen, Jie Chen, Defu Lian, Shu Zhao
2023	A*	`conf`	Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu
2023	J	`jnl`	Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu
2023	—	`conf`	GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. DASFAA (2) Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen
2023	J	`jnl`	GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. CoRR Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen
2023	A	`conf`	GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction. ECAI Chaoqun Su, Chenwang Wu, Defu Lian
2023	A*	`conf`	Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd. ICDE Haodi Zhang, Wenxi Huang, Zhenhan Su, Junyang Chen, Di Jiang, Lixin Fan, Chen Zhang, Defu Lian, Kaishun Wu
2023	A*	`conf`	Improving Recommendation Fairness via Data Augmentation. WWW Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023	J	`jnl`	Improving Recommendation Fairness via Data Augmentation. CoRR Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023	J	`jnl`	Influence-Driven Data Poisoning for Robust Recommender Systems. IEEE Trans. Pattern Anal. Mach. Intell. Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen
2023	J	`jnl`	Interactive Graph Convolutional Filtering. CoRR Jin Zhang, Defu Lian, Hong Xie, Yawen Li, Enhong Chen
2023	J	`jnl`	Invariant Representation Learning via Decoupling Style and Spurious Features. CoRR Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Hong Xie, Defu Lian
2023	A*	`conf`	KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. IJCAI Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen
2023	J	`jnl`	KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. CoRR Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen
2023	A*	`conf`	Knowledge Distillation for High Dimensional Search Index. NeurIPS Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen
2023	J	`jnl`	Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias. CoRR Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu
2023	J	`jnl`	Large-Scale OD Matrix Estimation with A Deep Learning Method. CoRR Zheli Xiong, Defu Lian, Enhong Chen, Gang Chen, Xiaomin Cheng
2023	A*	`conf`	Learned Index with Dynamic $\epsilon$. ICLR Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou
2023	A*	`conf`	Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. KDD Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen
2023	—	`conf`	Learning to Substitute Spans towards Improving Compositional Generalization. ACL (1) Zhaoyi Li, Ying Wei, Defu Lian
2023	J	`jnl`	Learning to Substitute Spans towards Improving Compositional Generalization. CoRR Zhaoyi Li, Ying Wei, Defu Lian
2023	A*	`conf`	LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. SIGIR Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian, Zhao Cao
2023	J	`jnl`	Markov-Driven Graph Convolutional Networks for Social Spammer Detection. IEEE Trans. Knowl. Data Eng. Leyan Deng, Chenwang Wu, Defu Lian, Yongji Wu, Enhong Chen
2023	A*	`conf`	Membership Inference Attacks Against Sequential Recommender Systems. WWW Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen
2023	J	`jnl`	Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity. CoRR Zhihao Zhu, Chenwang Wu, Rui Fan, Yi Yang, Defu Lian, Enhong Chen
2023	J	`jnl`	Model Stealing Attack against Recommender System. CoRR Zhihao Zhu, Rui Fan, Chenwang Wu, Yi Yang, Defu Lian, Enhong Chen
2023	J	`jnl`	Modeling User Demand Evolution for Next-Basket Prediction. IEEE Trans. Knowl. Data Eng. Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian
2023	J	`jnl`	Network Representation Lightening From Hashing to Quantization. IEEE Trans. Knowl. Data Eng. Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen
2023	J	`jnl`	Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation. ACM Trans. Inf. Syst. Zhenya Huang, Binbin Jin, Hongke Zhao, Qi Liu, Defu Lian, Tengfei Bao, Enhong Chen
2023	A*	`conf`	Query-Aware Quantization for Maximum Inner Product Search. AAAI Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen
2023	J	`jnl`	RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability. CoRR Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
2023	A*	`conf`	RecStudio: Towards a Highly-Modularized Recommender System. SIGIR Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen
2023	J	`jnl`	Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. CoRR Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie
2023	J	`jnl`	Reinforcement Routing on Proximity Graph for Efficient Recommendation. ACM Trans. Inf. Syst. Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen
2023	J	`jnl`	Securing recommender system via cooperative training. World Wide Web (WWW) Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen
2023	J	`jnl`	Toward Robust Recommendation via Real-time Vicinal Defense. CoRR Yichang Xu, Chenwang Wu, Defu Lian
2023	J	`jnl`	Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt. CoRR Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Y. Zhang, Jun Zhou, Defu Lian, Ying Wei
2023	—	`conf`	Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts. EMNLP (Findings) Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Zhang, Jun Zhou, Defu Lian, Ying Wei
2023	J	`jnl`	Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter
2023	J	`jnl`	When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. CoRR Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen
2022	J	`jnl`	A Mutually Reinforced Framework for Pretrained Sentence Embeddings. CoRR Junhan Yang, Zheng Liu, Shitao Xiao, Jianxun Lian, Lijun Wu, Defu Lian, Guangzhong Sun, Xing Xie
2022	J	`jnl`	A Survey on Session-based Recommender Systems. ACM Comput. Surv. Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Defu Lian
2022	A	`conf`	A Unified Transferable Model for ML-Enhanced DBMS. CIDR Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou
2022	—	`conf`	Adversarial Cycle-Consistent Autoencoder for Category-Aware Out-of-Town Recommendation. KSEM (3) Lijiao Qin, Defu Lian
2022	A*	`conf`	Anisotropic Additive Quantization for Fast Inner Product Search. AAAI Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen
2022	—	`conf`	Attention-Cooperated Reinforcement Learning for Multi-agent Path Planning. DASFAA (Workshops) Jinchao Ma, Defu Lian
2022	A*	`conf`	BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. SIGIR Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
2022	J	`jnl`	BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. CoRR Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
2022	J	`jnl`	Boosting Factorization Machines via Saliency-Guided Mixup. CoRR Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao
2022	A*	`conf`	Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. NeurIPS Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen
2022	J	`jnl`	Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. CoRR Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen
2022	J	`jnl`	Cooperative Retriever and Ranker in Deep Recommenders. CoRR Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen
2022	A*	`conf`	CreaGAN: An Automatic Creative Generation Framework for Display Advertising. ACM Multimedia Shiyao Wang, Qi Liu, Yicheng Zhong, Zhilong Zhou, Tiezheng Ge, Defu Lian, Yuning Jiang
2022	J	`jnl`	Deep Pairwise Hashing for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li
2022	A*	`conf`	Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. SIGIR Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie
2022	J	`jnl`	Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. CoRR Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie
2022	A*	`conf`	Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. WWW Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen
2022	A*	`conf`	Forest-based Deep Recommender. SIGIR Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen
2022	A*	`conf`	Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy. NeurIPS Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen
2022	J	`jnl`	Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Leyan Deng, Defu Lian, Zhenya Huang, Enhong Chen
2022	A*	`conf`	HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. WWW Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King
2022	J	`jnl`	HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. CoRR Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King
2022	J	`jnl`	HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. ACM Trans. Inf. Syst. Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen
2022	A*	`conf`	Improving Implicit Alternating Least Squares with Ring-based Regularization. SIGIR Rui Fan, Jin Chen, Jin Zhang, Defu Lian, Enhong Chen
2022	—	`conf`	Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics. ACL (Findings) Jiannan Xiang, Huayang Li, Yahui Liu, Lemao Liu, Guoping Huang, Defu Lian, Shuming Shi
2022	J	`jnl`	Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics. CoRR Jiannan Xiang, Huayang Li, Yahui Liu, Lemao Liu, Guoping Huang, Defu Lian, Shuming Shi
2022	A*	`conf`	Learning Recommenders for Implicit Feedback with Importance Resampling. WWW Jin Chen, Defu Lian, Binbin Jin, Kai Zheng, Enhong Chen
2022	A*	`conf`	NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction. SIGIR Guanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan, Yihua Huang
2022	J	`jnl`	Powerful graph of graphs neural network for structured entity analysis. World Wide Web Hanchen Wang, Defu Lian, Wanqi Liu, Dong Wen, Chen Chen, Xiaoyang Wang
2022	A*	`conf`	Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. WWW Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie
2022	J	`jnl`	Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. CoRR Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang
2022	J	`jnl`	Ranking-Based Implicit Regularization for One-Class Collaborative Filtering. IEEE Trans. Knowl. Data Eng. Defu Lian, Jin Chen, Kai Zheng, Enhong Chen, Xiaofang Zhou
2022	A*	`conf`	Recommender Forest for Efficient Retrieval. NeurIPS Chao Feng, Wuchao Li, Defu Lian, Zheng Liu, Enhong Chen
2022	J	`jnl`	Reinforcement Routing on Proximity Graph for Efficient Recommendation. CoRR Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen
2022	—	`conf`	Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. ECML/PKDD (3) Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen
2022	J	`jnl`	Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. CoRR Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen
2022	A*	`conf`	Self-Supervised Text Erasing with Controllable Image Synthesis. ACM Multimedia Gangwei Jiang, Shiyao Wang, Tiezheng Ge, Yuning Jiang, Ying Wei, Defu Lian
2022	J	`jnl`	Self-Supervised Text Erasing with Controllable Image Synthesis. CoRR Gangwei Jiang, Shiyao Wang, Tiezheng Ge, Yuning Jiang, Ying Wei, Defu Lian
2022	A*	`conf`	TMN: Trajectory Matching Networks for Predicting Similarity. ICDE Peilun Yang, Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Wenjie Zhang
2022	B	`conf`	Towards Robust Recommender Systems via Triple Cooperative Defense. WISE Qingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen
2022	J	`jnl`	Towards Robust Recommender Systems via Triple Cooperative Defense. CoRR Qingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen
2022	J	`jnl`	Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting. CoRR Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou
2022	—	`conf`	Visualizing the Relationship Between Encoded Linguistic Information and Task Performance. ACL (Findings) Jiannan Xiang, Huayang Li, Defu Lian, Guoping Huang, Taro Watanabe, Lemao Liu
2022	J	`jnl`	Visualizing the Relationship Between Encoded Linguistic Information and Task Performance. CoRR Jiannan Xiang, Huayang Li, Defu Lian, Guoping Huang, Taro Watanabe, Lemao Liu
2021	A*	`conf`	A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising. WWW Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang
2021	J	`jnl`	A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising. CoRR Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang
2021	A	`conf`	A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. CIKM Haoyu Wang, Yaqing Wang, Defu Lian, Jing Gao
2021	J	`jnl`	A Unified Transferable Model for ML-Enhanced DBMS. CoRR Ziniu Wu, Peilun Yang, Pei Yu, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou
2021	—	`conf`	Assessing Dialogue Systems with Distribution Distances. ACL/IJCNLP (Findings) Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian, Lemao Liu
2021	J	`jnl`	Assessing Dialogue Systems with Distribution Distances. CoRR Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian, Lemao Liu
2021	A*	`conf`	Automated Creative Optimization for E-Commerce Advertising. WWW Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng
2021	J	`jnl`	Automated Creative Optimization for E-Commerce Advertising. CoRR Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng
2021	J	`jnl`	Binarized graph neural network. World Wide Web Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin
2021	J	`jnl`	Discrete Matrix Factorization and Extension for Fast Item Recommendation. IEEE Trans. Knowl. Data Eng. Defu Lian, Xing Xie, Enhong Chen
2021	A*	`conf`	Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. AAAI Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng
2021	J	`jnl`	Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. CoRR Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng
2021	J	`jnl`	Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. CoRR Jin Chen, Binbin Jin, Xu Huang, Defu Lian, Kai Zheng, Enhong Chen
2021	A	`conf`	Federated Deep Knowledge Tracing. WSDM Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang
2021	A*	`conf`	Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. SIGIR Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan
2021	A*	`conf`	GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph. NeurIPS Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie
2021	J	`jnl`	Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks. CoRR Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie
2021	A*	`conf`	Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. SIGIR Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen
2021	A*	`conf`	Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. WWW Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. CoRR Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang
2021	—	`conf`	Matching-oriented Embedding Quantization For Ad-hoc Retrieval. EMNLP (1) Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie
2021	A*	`conf`	Meta-learning with an Adaptive Task Scheduler. NeurIPS Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn
2021	J	`jnl`	Meta-learning with an Adaptive Task Scheduler. CoRR Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn
2021	A*	`conf`	Online Additive Quantization. KDD Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen
2021	J	`jnl`	Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling. ACM Trans. Intell. Syst. Technol. Shuo Tao, Jingang Jiang, Defu Lian, Kai Zheng, Enhong Chen
2021	A*	`conf`	Preference-Adaptive Meta-Learning for Cold-Start Recommendation. IJCAI Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen
2021	J	`jnl`	Product Quantized Collaborative Filtering. IEEE Trans. Knowl. Data Eng. Defu Lian, Xing Xie, Enhong Chen, Hui Xiong
2021	J	`jnl`	Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention. CoRR Yongji Wu, Lu Yin, Defu Lian, Mingyang Yin, Neil Zhenqiang Gong, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	Search-oriented Differentiable Product Quantization. CoRR Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie
2021	—	`conf`	Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. NeurIPS (Competition and Demos) Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter
2021	A*	`conf`	Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen
2021	A*	`conf`	xLightFM: Extremely Memory-Efficient Factorization Machine. SIGIR Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen
2020	A*	`conf`	A Variational Point Process Model for Social Event Sequences. AAAI Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen
2020	J	`jnl`	Binarized Graph Neural Network. CoRR Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin
2020	J	`jnl`	Collaborative Filtering With Ranking-Based Priors on Unknown Ratings. IEEE Intell. Syst. Jin Chen, Defu Lian, Kai Zheng
2020	J	`jnl`	Deep Pairwise Hashing for Cold-start Recommendation. CoRR Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li
2020	A*	`conf`	Geography-Aware Sequential Location Recommendation. KDD Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen
2020	A*	`conf`	GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. IJCAI Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin
2020	J	`jnl`	GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. CoRR Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin
2020	A*	`conf`	Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. AAAI Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen
2020	A*	`conf`	Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. SIGIR Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang
2020	J	`jnl`	Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. CoRR Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang
2020	A*	`conf`	LightRec: A Memory and Search-Efficient Recommender System. WWW Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
2020	A*	`conf`	Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. SIGIR Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
2020	A*	`conf`	Online Optimized Product Quantization. ICDM Chong Liu, Defu Lian, Min Nie, Hu Xia
2020	A*	`conf`	Personalized Ranking with Importance Sampling. WWW Defu Lian, Qi Liu, Enhong Chen
2020	—	`conf`	Predicting Human Mobility with Self-attention and Feature Interaction. APWeb/WAIM (2) Jingang Jiang, Shuo Tao, Defu Lian, Zhenya Huang, Enhong Chen
2020	J	`jnl`	Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing. IEEE Trans. Knowl. Data Eng. Kai Zheng, Yan Zhao, Defu Lian, Bolong Zheng, Guanfeng Liu, Xiaofang Zhou
2020	A*	`conf`	Sampling-Decomposable Generative Adversarial Recommender. NeurIPS Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen
2020	J	`jnl`	Sampling-Decomposable Generative Adversarial Recommender. CoRR Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen
2019	J	`jnl`	A Novel User Representation Paradigm for Making Personalized Candidate Retrieval. CoRR Zheng Liu, Yu Xing, Jianxun Lian, Defu Lian, Ziyao Li, Xing Xie
2019	A*	`conf`	Adversarial Binary Collaborative Filtering for Implicit Feedback. AAAI Haoyu Wang, Nan Shao, Defu Lian
2019	A*	`conf`	Binarized Collaborative Filtering with Distilling Graph Convolutional Network. IJCAI Haoyu Wang, Defu Lian, Yong Ge
2019	J	`jnl`	Binarized Collaborative Filtering with Distilling Graph Convolutional Networks. CoRR Haoyu Wang, Defu Lian, Yong Ge
2019	A*	`conf`	Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference. IJCAI Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen
2019	A*	`conf`	Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer. AAAI Jin Chen, Defu Lian, Kai Zheng
2019	A	`conf`	International Workshop on Model Selection and Parameter Tuning in Recommender Systems. CIKM Fikret Sivrikaya, Sahin Albayrak, Defu Lian
2019	A*	`conf`	MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. KDD Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su
2019	J	`jnl`	MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. CoRR Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su
2019	J	`jnl`	Predicting Academic Performance for College Students: A Campus Behavior Perspective. CoRR Huaxiu Yao, Defu Lian, Yi Cao, Yifan Wu, Tao Zhou
2019	J	`jnl`	Predicting Academic Performance for College Students: A Campus Behavior Perspective. ACM Trans. Intell. Syst. Technol. Huaxiu Yao, Defu Lian, Yi Cao, Yifan Wu, Tao Zhou
2019	A*	`conf`	Preference-Aware Task Assignment in Spatial Crowdsourcing. AAAI Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng
2018	J	`jnl`	Advanced forecasting of career choices for college students based on campus big data. Frontiers Comput. Sci. Min Nie, Lei Yang, Jun Sun, Han Su, Hu Xia, Defu Lian, Kai Yan
2018	A*	`conf`	Attention-Based Transactional Context Embedding for Next-Item Recommendation. AAAI Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu
2018	A*	`conf`	Binarized attributed network embedding. ICDM Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang
2018	A	`conf`	Discrete Deep Learning for Fast Content-Aware Recommendation. WSDM Yan Zhang, Hongzhi Yin, Zi Huang, Xingzhong Du, Guowu Yang, Defu Lian
2018	A*	`conf`	Discrete Ranking-based Matrix Factorization with Self-Paced Learning. KDD Yan Zhang, Haoyu Wang, Defu Lian, Ivor W. Tsang, Hongzhi Yin, Guowu Yang
2018	J	`jnl`	GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM Trans. Inf. Syst. Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie
2018	A*	`conf`	High-order Proximity Preserving Information Network Hashing. KDD Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie
2018	J	`jnl`	Jointly Recommending Library Books and Predicting Academic Performance: A Mutual Reinforcement Perspective. J. Comput. Sci. Technol. Defu Lian, Qi Liu
2018	—	`conf`	MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment. DASFAA (2) Tianyu Zhu, Qi Liu, Zhenya Huang, Enhong Chen, Defu Lian, Yu Su, Guoping Hu
2018	A*	`conf`	Neural Memory Streaming Recommender Networks with Adversarial Training. KDD Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang
2018	J	`jnl`	Scalable Content-Aware Collaborative Filtering for Location Recommendation. IEEE Trans. Knowl. Data Eng. Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui
2018	A*	`conf`	Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. AAAI Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu
2018	—	`conf`	Spatial-Aware Deep Recommender System. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Steven Mudda, Defu Lian, Silvia Giordano, Danyang Liu, Xing Xie
2017	A*	`conf`	Discrete Content-aware Matrix Factorization. KDD Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao
2017	A*	`conf`	Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback. AAAI Yan Zhang, Defu Lian, Guowu Yang
2017	—	`conf`	GPS-Simulated Trajectory Detection. DASFAA (2) Han Su, Wei Chen, Rong Liu, Min Nie, Bolong Zheng, Zehao Huang, Defu Lian
2017	A*	`conf`	Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach. IJCAI Huayu Li, Yong Ge, Defu Lian, Hao Liu
2017	—	`ch.`	Mobile Check-In Recommendation. Encyclopedia of GIS Defu Lian, Nicholas Jing Yuan
2017	—	`conf`	Overview of the NLPCC-ICCPOL 2017 Shared Task: Social Media User Modeling. NLPCC Fuzheng Zhang, Defu Lian, Xing Xie
2017	—	`conf`	Predicting Academic Performance via Semi-supervised Learning with Constructed Campus Social Network. DASFAA (2) Huaxiu Yao, Min Nie, Han Su, Hu Xia, Defu Lian
2016	A*	`conf`	A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback. IJCAI Huayu Li, Richang Hong, Defu Lian, Zhiang Wu, Meng Wang, Yong Ge
2016	A*	`conf`	Collaborative Knowledge Base Embedding for Recommender Systems. KDD Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma
2016	B	`conf`	Constraint Free Preference Preserving Hashing for Fast Recommendation. GLOBECOM Yan Zhang, Guowu Yang, Defu Lian, Hong Wen, Jinsong Wu
2016	A*	`conf`	Exploiting Dining Preference for Restaurant Recommendation. WWW Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui
2016	—	`conf`	Forecasting Career Choice for College Students Based on Campus Big Data. APWeb (1) Min Nie, Lei Yang, Bin Ding, Hu Xia, Huachun Xu, Defu Lian
2016	A*	`conf`	Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation. ICDM Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong
2016	J	`jnl`	Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region. CoRR Hao Fu, Xing Xie, Yong Rui, Defu Lian, Guangzhong Sun, Enhong Chen
2016	A*	`conf`	Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation. ICDM Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie
2016	A*	`conf`	Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback. IJCAI Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie, Hui Xiong
2015	A*	`conf`	Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data. ICDM Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui
2015	J	`jnl`	Geo-social media data analytic for user modeling and location-based services. ACM SIGSPATIAL Special Jie Bao, Defu Lian, Fuzheng Zhang, Nicholas Jing Yuan
2015	—	`conf`	Lifting the Predictability of Human Mobility on Activity Trajectories. ICDM Workshops Xianming Li, Defu Lian, Xing Xie, Guangzhong Sun
2015	J	`jnl`	Mining Location-based Social Networks: A Predictive Perspective. IEEE Data Eng. Bull. Defu Lian, Xing Xie, Fuzheng Zhang, Nicholas Jing Yuan, Tao Zhou, Yong Rui
2015	Misc	`conf`	Mining consumer impulsivity from offline and online behavior. UbiComp Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui
2015	A*	`conf`	Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data. KDD Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui
2014	—	`conf`	Analyzing Location Predictability on Location-Based Social Networks. PAKDD (1) Defu Lian, Yin Zhu, Xing Xie, Enhong Chen
2014	A*	`conf`	GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation. KDD Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen, Yong Rui
2014	J	`jnl`	Indigenization of Urban Mobility. CoRR Zimo Yang, Defu Lian, Nicholas Jing Yuan, Xing Xie, Yong Rui, Tao Zhou
2014	J	`jnl`	Mining Check-In History for Personalized Location Naming. ACM Trans. Intell. Syst. Technol. Defu Lian, Xing Xie
2014	A*	`conf`	Mining novelty-seeking trait across heterogeneous domains. WWW Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie
2013	—	`conf`	Collaborative filtering meets next check-in location prediction. WWW (Companion Volume) Defu Lian, Vincent Wenchen Zheng, Xing Xie
2013	—	`conf`	We know how you live: exploring the spectrum of urban lifestyles. COSN Nicholas Jing Yuan, Fuzheng Zhang, Defu Lian, Kai Zheng, Siyu Yu, Xing Xie
2012	J	`jnl`	Efficient processing of top-k queries: selective NRA algorithms. J. Intell. Inf. Syst. Jing Yuan, Guangzhong Sun, Tao Luo, Defu Lian, Guoliang Chen
2011	—	`conf`	Collaborative activity recognition via check-in history. GIS-LBSN Defu Lian, Xing Xie
2011	—	`conf`	Learning location naming from user check-in histories. GIS Defu Lian, Xing Xie