| 2026 | AAAI | Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering. | Changjian Wang, Weihong Deng, Weili Guan, Quan Lu, Ning Jiang |
| 2026 | DASFAA | T2D-CNet: A Temporal-Aware Decoupling and Data-Aware Debiasing Coordination Network for Personalized Call Timing at Scale. | Wanjie Tao, Yanyan Zheng, Zhumei Gou, Quan Lu, Ning Jiang |
| 2026 | WWW | Rethinking MoE with Retrieval-Memory Synergy: Towards Efficient Expert Coordination. | Wanjie Tao, Qun Dai, Yantong Lv, Quan Lu, Ning Jiang, Zulong Chen |
| 2026 | SIGIR | NBA-Net: Next-Behavior-Aware Network for Intent Recommendation. | Haoxin Shen, Peng Ying, Wanjie Tao, Jie Liang, Quan Lu, Ning Jiang |
| 2025 | ECAI | Towards Human-Like Grading: A Unified LLM-Enhanced Framework for Subjective Question Evaluation. | Fanwei Zhu, Jiaxuan He, Xiaoxiao Chen, Zulong Chen, Quan Lu, Chenrui Mei |
| 2025 | ICASSP | MS-UFAD: A Large-Scale Dataset for Real-world Unified Face Attack Detection with Text Descriptions. | Ning Jiang, Dingheng Zeng, Liang Gao, Sheng Chen, Zhifei Kong, Yanhong Liu, Jiao Li, Yue Feng, Tongtong Yuan, Weihong Deng, Quan Lu, Ying Li |
| 2025 | ICASSP | Realistic Real-Time Talking Head Synthesis with Grid Encoding and Progressive Conditioning. | Zhiling Ye, Liang-Guo Zhang, Dingheng Zeng, Quan Lu, Ning Jiang |
| 2025 | WWW | Dynamic Topic Segmentation in Dialogues: Enhancing Boundaries with Topic-Aware Propagation. | Yantong Lv, Wanjie Tao, Qun Dai, Zulong Chen, Quan Lu, Ning Jiang |
| 2024 | COLING | Factorized Learning Assisted with Large Language Model for Gloss-free Sign Language Translation. | Zhigang Chen, Benjia Zhou, Jun Li, Jun Wan, Zhen Lei, Ning Jiang, Quan Lu, Guoqing Zhao |
| 2024 | EMNLP | Structured Optimal Brain Pruning for Large Language Models. | Jiateng Wei, Quan Lu, Ning Jiang, Siqi Li, Jingyang Xiang, Jun Chen, Yong Liu |
| 2024 | ICASSP | VL-FAS: Domain Generalization via Vision-Language Model For Face Anti-Spoofing. | Hao Fang, Ajian Liu, Ning Jiang, Quan Lu, Guoqing Zhao, Jun Wan |
| 2024 | ICASSP | An Audio-Quality-Based Multi-Strategy Approach For Target Speaker Extraction in the Misp 2023 Challenge. | Runduo Han, Xiaopeng Yan, Weiming Xu, Pengcheng Guo, Jiayao Sun, He Wang, Quan Lu, Ning Jiang, Lei Xie |
| 2024 | Interspeech | SEQ-former: A context-enhanced and efficient automatic speech recognition framework. | Qinglin Meng, Min Liu, Kaixun Huang, Kun Wei, Lei Xie, Zongfeng Quan, Weihong Deng, Quan Lu, Ning Jiang, Guoqing Zhao |
| 2023 | CIKM | MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking. | Shigang Quan, Hailong Tan, Shui Liu, Zhenzhe Zheng, Ruihao Zhu, Liangyue Li, Quan Lu, Fan Wu |
| 2023 | CVPR | Bandpass Filter Based Dual-stream Network for Face Anti-spoofing. | Dingheng Zeng, Liang Gao, Hao Fang, Guohui Xiang, Yue Feng, Quan Lu |
| 2023 | WWW | What Image do You Need? A Two-stage Framework for Image Selection in E-commerce. | Sheng You, Chao Wang, Baohua Wu, Jingping Liu, Quan Lu, Guanzhou Han, Yanghua Xiao |
| 2023 | WWW | LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation. | Ruitao Zhu, Detao Lv, Yao Yu, Ruihao Zhu, Zhenzhe Zheng, Ke Bu, Quan Lu, Fan Wu |
| 2023 | WSDM | MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation. | Senrong Xu, Liangyue Li, Yuan Yao, Zulong Chen, Han Wu, Quan Lu, Hanghang Tong |
| 2022 | AAAI | SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation. | Wanjie Tao, Yu Li, Liangyue Li, Zulong Chen, Hong Wen, Peilin Chen, Tingting Liang, Quan Lu |
| 2022 | CIKM | A Context-Enhanced Transformer with Abbr-Recover Policy for Chinese Abbreviation Prediction. | Kaiyan Cao, Deqing Yang, Jingping Liu, Jiaqing Liang, Yanghua Xiao, Feng Wei, Baohua Wu, Quan Lu |
| 2022 | CIKM | SASNet: Stage-aware Sequential Matching for Online Travel Recommendation. | Fanwei Zhu, Zulong Chen, Fan Zhang, Jiazhen Lou, Hong Wen, Shui Liu, Qi Rao, Tengfei Yuan, Shenghua Ni, Jinxin Hu, Fuzhen Sun, Quan Lu |
| 2022 | CIKM | Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing. | Fanwei Zhu, Wendong Xiao, Yao Yu, Ziyi Wang, Zulong Chen, Quan Lu, Zemin Liu, Minghui Wu, Shenghua Ni |
| 2022 | KDD | G2NET: A General Geography-Aware Representation Network for Hotel Search Ranking. | Jia Xu, Fei Xiong, Zulong Chen, Mingyuan Tao, Liangyue Li, Quan Lu |
| 2021 | CIKM | SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios. | Qijie Shen, Wanjie Tao, Jing Zhang, Hong Wen, Zulong Chen, Quan Lu |
| 2020 | ACL | SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction. | He Zhao, Longtao Huang, Rong Zhang, Quan Lu, Hui Xue |
| 2020 | ECCV | A Visual Inductive Priors Framework for Data-Efficient Image Classification. | Pengfei Sun, Xuan Jin, Wei Su, Yuan He, Hui Xue, Quan Lu |
| 2020 | SIGIR | Towards Linking Camouflaged Descriptions to Implicit Products in E-commerce. | Longtao Huang, Bo Yuan, Rong Zhang, Quan Lu |
| 2018 | DSN | Hardening the Core: Understanding and Detection of XNU Kernel Vulnerabilities. | Xianyu Liu, Min Zheng, Aimin Pan, Quan Lu |
| 2018 | WWW | Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. | Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, Quan Lu |
| 2017 | KDD | A Practical Framework of Conversion Rate Prediction for Online Display Advertising. | Quan Lu, Shengjun Pan, Liang Wang, Junwei Pan, Fengdan Wan, Hongxia Yang |
| 2016 | AAAI | Lift-Based Bidding in Ad Selection. | Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-chih Lee, Hang Qi, Quan Lu |
| 2016 | CIKM | Improving Advertisement Recommendation by Enriching User Browser Cookie Attributes. | Liang Wang, Kuang-chih Lee, Quan Lu |
| 2016 | ICDM | Dynamic Contextual Multi Arm Bandits in Display Advertisement. | Hongxia Yang, Quan Lu |
| 2016 | KDD | Large Scale CVR Prediction through Dynamic Transfer Learning of Global and Local Features. | Hongxia Yang, Quan Lu, Angus Xianen Qiu, Chun Han |
| 2015 | KDD | Scalable Multidimensional Hierarchical Bayesian Modeling on Spark. | Rbert Ormndi, Hongxia Yang, Quan Lu |
| 2015 | KDD | Smart Pacing for Effective Online Ad Campaign Optimization. | Jian Xu, Kuang-chih Lee, Wentong Li, Hang Qi, Quan Lu |
| 2006 | WISE | Web Personalization Based on Artificial Psychology. | Quan Lu, Jing Chen, Bo Meng |
| 2002 | WSC | Modeling very large scale systems: using simulation modeling to assess rail track infrastructure in densely trafficked metropolitan areas. | Maged M. Dessouky, Quan Lu, Robert C. Leachman |