Lian, Defu

53 publications

NeurIPS 2025 Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference Zijie Geng, Jie Wang, Ziqi Liu, Feng Ju, Yiming Li, Xing Li, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu

NeurIPS 2025 Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective Chenwang Wu, Yiu-ming Cheung, Bo Han, Defu Lian

ICML 2025 From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen

NeurIPS 2025 HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks Hongjin Qian, Zheng Liu, Chao Gao, Yankai Wang, Defu Lian, Zhicheng Dou

ICML 2025 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu

MLJ 2025 Invariant Representation Learning via Decoupling Style and Spurious Features Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Chenwang Wu, Hong Xie, Defu Lian

NeurIPS 2025 LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-Step Synthetic Logical Data Zehao Wang, Lin Yang, Jie Wang, Kehan Wang, Hanzhu Chen, Bin Wang, Jianye Hao, Defu Lian, Bin Li, Enhong Chen

ICLR 2025 Making Text Embedders Few-Shot Learners Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Defu Lian, Yingxia Shao, Zheng Liu

ICLR 2025 Making Transformer Decoders Better Differentiable Indexers Wuchao Li, Kai Zheng, Defu Lian, Qi Liu, Wentian Bao, Enyun Yu, Yang Song, Han Li, Kun Gai

NeurIPS 2025 P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen

ICLR 2025 RecFlow: An Industrial Full Flow Recommendation Dataset Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Enyun Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai

ICLR 2025 TDDBench: A Benchmark for Training Data Detection Zhihao Zhu, Yi Yang, Defu Lian

ICLR 2025 ToolACE: Winning the Points of LLM Function Calling 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, Wang Xinzhi, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen

NeurIPS 2025 Towards a Generalist Code Embedding Model Based on Massive Data Synthesis Chaofan Li, Jianlyu Chen, Yingxia Shao, Defu Lian, Zheng Liu

ICLR 2025 Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei

AAAI 2024 AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei

IJCAI 2024 Adaptive Order Q-Learning Tao Tan, Hong Xie, Defu Lian

NeurIPS 2024 Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen

AAAI 2024 Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen

NeurIPS 2024 FilterNet: Harnessing Frequency Filters for Time Series Forecasting Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan

NeurIPS 2024 Generalization Error Bounds for Two-Stage Recommender Systems with Tree Structure Jin Zhang, Ze Liu, Defu Lian, Enhong Chen

NeurIPS 2024 Learning from Highly Sparse Spatio-Temporal Data Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen

ICML 2024 Learning-Efficient yet Generalizable Collaborative Filtering for Item Recommendation Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen

ICLR 2024 NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models Beyond Spherical Linear Interpolation PengFei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han

NeurIPS 2023 Frequency-Domain MLPs Are More Effective Learners in Time Series Forecasting Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu

IJCAI 2023 KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen

NeurIPS 2023 Knowledge Distillation for High Dimensional Search Index Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen

ICLR 2023 Learned Index with Dynamic $\epsilon$ Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou

AAAI 2023 Query-Aware Quantization for Maximum Inner Product Search Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen

AAAI 2022 Anisotropic Additive Quantization for Fast Inner Product Search Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen

NeurIPS 2022 Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen

NeurIPS 2022 Graph Convolution Network Based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen

NeurIPS 2022 Recommender Forest for Efficient Retrieval Chao Feng, Wuchao Li, Defu Lian, Zheng Liu, Enhong Chen

ECML-PKDD 2022 Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen

AAAI 2021 Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng

NeurIPS 2021 GraphFormers: GNN-Nested Transformers for Representation Learning on Textual Graph Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie

NeurIPS 2021 Meta-Learning with an Adaptive Task Scheduler Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn

IJCAI 2021 Preference-Adaptive Meta-Learning for Cold-Start Recommendation Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen

AAAI 2020 A Variational Point Process Model for Social Event Sequences Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen

IJCAI 2020 GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin

AAAI 2020 Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen

NeurIPS 2020 Sampling-Decomposable Generative Adversarial Recommender Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen

AAAI 2019 Adversarial Binary Collaborative Filtering for Implicit Feedback Haoyu Wang, Nan Shao, Defu Lian

IJCAI 2019 Binarized Collaborative Filtering with Distilling Graph Convolutional Network Haoyu Wang, Defu Lian, Yong Ge

IJCAI 2019 Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen

AAAI 2019 Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer Jin Chen, Defu Lian, Kai Zheng

AAAI 2019 Preference-Aware Task Assignment in Spatial Crowdsourcing Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng

AAAI 2018 Attention-Based Transactional Context Embedding for Next-Item Recommendation Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu

AAAI 2018 Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu

AAAI 2017 Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback Yan Zhang, Defu Lian, Guowu Yang

IJCAI 2017 Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach Huayu Li, Yong Ge, Defu Lian, Hao Liu

IJCAI 2016 A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback Huayu Li, Richang Hong, Defu Lian, Zhiang Wu, Meng Wang, Yong Ge

IJCAI 2016 Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie, Hui Xiong