Xiaolu Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
73
Venues
33
Active years
2007–2026
Best venue rank
A*
Where they publish
- ACIKM9 papers
- A*SIGIR9 papers
- A*ACL5 papers
- A*ICML4 papers
- A*WWW4 papers
- A*CVPR4 papers
- A*AAAI4 papers
- BDASFAA3 papers
- BGLOBECOM3 papers
- AEuroSys2 papers
- AFAST2 papers
- A*IJCAI2 papers
- NationalICNC2 papers
- A*EMNLP1 paper
- NationalHCI1 paper
- A*ICCV1 paper
- A*ICDE1 paper
- BIJCNN1 paper
- NationalQCE1 paper
- A*ICLR1 paper
- A*KDD1 paper
- CTencon1 paper
- A*ECCV1 paper
- MulticonferenceICASSP1 paper
- AAISTATS1 paper
- BICONIP1 paper
- BPAKDD1 paper
- NationalFAW1 paper
- CGPC1 paper
- BIWCMC1 paper
- CUIC1 paper
- CCAINE1 paper
- A*INFOCOM1 paper
Papers
73 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Learning to Translate by Translating: Stabilizing the Dual Loop via Semantic-Aware Self-Evolution. | Kui Liu, Mingming Yin, Zuoli Tang, Zihao Li, Chilin Fu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li |
| 2026 | ACL | Reinforcement Learning with Semantic Rewards Enables Low-Resource Language Expansion without Alignment Tax. | Zeli Su, Ziyin Zhang, Zhou Liu, Xuexian Song, Zhankai Xu, Longfei Zheng, Xiaolu Zhang, Rong Fu, Guixian Xu, Wentao Zhang |
| 2026 | ACL | ReportLogic: Evaluating Logical Quality in Deep Research Reports. | Jujia Zhao, Zhaoxin Huan, Zihan Wang, Xiaolu Zhang, Jun Zhou, Suzan Verberne, Zhaochun Ren |
| 2026 | ACL | LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. | Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li |
| 2026 | EuroSys | Scheduling Cloud Block Storage Proactively and Reactively with Omar. | Xinqi Chen, Weidong Zhang, Zhongyu Wang, Erci Xu, Xiaolu Zhang, Dong Wu, Junping Wu, Haonan Wu, Ruiming Lu, Yaheng Song, Chaolei Hu, Lijun Ding, Guangtao Xue, Patrick P. C. Lee |
| 2026 | FAST | Here, There and Everywhere: The Past, the Present and the Future of Local Storage in Cloud. | Leping Yang, Yanbo Zhou, Gong Zeng, Li Zhang, Saisai Zhang, Ruilin Wu, Chaoyang Sun, Shiyi Luo, Wenrui Li, Keqiang Niu, Xiaolu Zhang, Junping Wu, Jiaji Zhu, Jiesheng Wu, Mariusz Barczak, Wayne Gao, Ruiming Lu, Erci Xu, Guangtao Xue |
| 2025 | ACL | BOSE: A Systematic Evaluation Method Optimized for Base Models. | Hongzhi Luan, Changxin Tian, Zhaoxin Huan, Xiaolu Zhang, Kunlong Chen, Zhiqiang Zhang, Jun Zhou |
| 2025 | DASFAA | Contrastive Scenario-Aware Meta Prompting for Multi-scenario Recommendation. | Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He |
| 2025 | EMNLP | Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary. | Licheng Pan, Yongqi Tong, Xin Zhang, Xiaolu Zhang, Jun Zhou, Zhixuan Chu |
| 2025 | HCI | A Brief Review of Touch Interaction Fatigue During Older Adults' Smartphone Usage. | Xiaolu Zhang, Honglian Xiang, Jia Zhou |
| 2025 | ICCV | NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations. | Rongqing Li, Changsheng Li, Ruilin Lv, Yuhang Li, Yang Gao, Xiaolu Zhang, Jun Zhou |
| 2025 | ICML | Effective and Efficient Masked Image Generation Models. | Zebin You, Jingyang Ou, Xiaolu Zhang, Jun Hu, Jun Zhou, Chongxuan Li |
| 2025 | WWW | SurvFormer: A Transformer Based Framework for Survival Analysis in Insurance Underwriting. | Yingxue Li, Xiaolu Zhang, Jun Hu, Wenwen Xia, Ziyi Liu, Xiaobo Qin, Binjie Fei, Jun Zhou |
| 2024 | CIKM | TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference. | Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li |
| 2024 | CIKM | MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation. | Guanghu Yuan, Jieyu Yang, Shujie Li, Mingjie Zhong, Ang Li, Ke Ding, Yong He, Min Yang, Liang Zhang, Xiaolu Zhang, Linjian Mo |
| 2024 | CVPR | Efficient Model Stealing Defense with Noise Transition Matrix. | Dong-Dong Wu, Chilin Fu, Weichang Wu, Wenwen Xia, Xiaolu Zhang, Jun Zhou, Min-Ling Zhang |
| 2024 | EuroSys | CSAL: the Next-Gen Local Disks for the Cloud. | Yanbo Zhou, Erci Xu, Li Zhang, Kapil Karkra, Mariusz Barczak, Wayne Gao, Wojciech Malikowski, Mateusz Kozlowski, Lukasz Lasek, Ruiming Lu, Feng Yang, Lilong Huang, Xiaolu Zhang, Keqiang Niu, Jiaji Zhu, Jiesheng Wu |
| 2024 | FAST | What's the Story in EBS Glory: Evolutions and Lessons in Building Cloud Block Store. | Weidong Zhang, Erci Xu, Qiuping Wang, Xiaolu Zhang, Yuesheng Gu, Zhenwei Lu, Tao Ouyang, Guanqun Dai, Wenwen Peng, Zhe Xu, Shuo Zhang, Dong Wu, Yilei Peng, Tianyun Wang, Haoran Zhang, Jiasheng Wang, Wenyuan Yan, Yuanyuan Dong, Wenhui Yao, Zhongjie Wu, Lingjun Zhu, Chao Shi, Yinhu Wang, Rong Liu, Junping Wu, Jiaji Zhu, Jiesheng Wu |
| 2024 | ICDE | AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. | Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou |
| 2024 | ICML | Keypoint-based Progressive Chain-of-Thought Distillation for LLMs. | Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou, Ye Yuan, Guoren Wang |
| 2024 | ICML | Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations. | Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li |
| 2024 | IJCNN | DINO-ViT Enhanced Diffusion for Multi-exemplar-based Image Translation. | Xiaolin Xu, Jiangjian Xiao, Xiaolu Zhang, Xiaofeng Jin, Xiaojing Gu, Gen Xu |
| 2024 | QCE | Why Teach Quantum?: Elementary Teachers Initial Beliefs About Quantum. | Xiaolu Zhang, Nancy Holincheck, Jessica L. Rosenberg, Stephanie Dodman, Ben Dreyfus, Jennifer Simons |
| 2024 | WWW | Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning. | Jun Hu, Wenwen Xia, Xiaolu Zhang, Chilin Fu, Weichang Wu, Zhaoxin Huan, Ang Li, Zuoli Tang, Jun Zhou |
| 2024 | WWW | Aligned Side Information Fusion Method for Sequential Recommendation. | Shuhan Wang, Bin Shen, Xu Min, Yong He, Xiaolu Zhang, Liang Zhang, Jun Zhou, Linjian Mo |
| 2024 | SIGIR | Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. | Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo |
| 2024 | SIGIR | Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. | Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan |
| 2023 | CIKM | Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction. | Chilin Fu, Weichang Wu, Xiaolu Zhang, Jun Hu, Jing Wang, Jun Zhou |
| 2023 | CIKM | SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation. | Xu Min, Xiaolu Zhang, Bin Shen, Shuhan Wang, Yong He, Changsheng Li, Jun Zhou |
| 2023 | CIKM | G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. | Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou |
| 2023 | DASFAA | Global-Aware Model-Free Self-distillation for Recommendation System. | Ang Li, Jian Hu, Wei Lu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Liang Zhang, Lihong Gu |
| 2023 | ICLR | Towards Open Temporal Graph Neural Networks. | Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou |
| 2023 | KDD | SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation. | Zhaoxin Huan, Ang Li, Xiaolu Zhang, Xu Min, Jieyu Yang, Yong He, Jun Zhou |
| 2023 | WWW | Multi-Source Domain Adaptation via Latent Domain Reconstruction. | Jun Zhou, Chilin Fu, Xiaolu Zhang |
| 2023 | SIGIR | Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System. | Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Xu Min |
| 2023 | SIGIR | Towards Multi-Interest Pre-training with Sparse Capsule Network. | Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li |
| 2023 | SIGIR | DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation. | Jieyu Yang, Liang Zhang, Yong He, Ke Ding, Zhaoxin Huan, Xiaolu Zhang, Linjian Mo |
| 2023 | Tencon | Leveraging Emotional Features and Machine Learning for Predicting Startup Funding Success. | Xiaolu Zhang, Raymond Y. K. Lau |
| 2022 | CIKM | GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems. | Ke Ding, Yong He, Xin Dong, Jieyu Yang, Liang Zhang, Ang Li, Xiaolu Zhang, Linjian Mo |
| 2022 | CIKM | Task Similarity Aware Meta Learning for Cold-Start Recommendation. | Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo |
| 2022 | ECCV | BadDet: Backdoor Attacks on Object Detection. | Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou |
| 2022 | ICASSP | Attribute-Conditioned Face Swapping Network for Low-Resolution Images. | Ang Li, Jian Hu, Chilin Fu, Xiaolu Zhang, Jun Zhou |
| 2022 | IJCAI | Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering. | Yunhao Zhang, Junchi Yan, Xiaolu Zhang, Jun Zhou, Xiaokang Yang |
| 2022 | SIGIR | An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. | Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo |
| 2021 | AISTATS | Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks. | Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li |
| 2021 | CVPR | Improving Transferability of Adversarial Patches on Face Recognition With Generative Models. | Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu |
| 2021 | ICML | Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation. | Jiawei Zhang, Linyi Li, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li |
| 2021 | ICONIP | Rethinking the Effectiveness of Selective Attention in Neural Networks. | Yulong Wang, Xiaolu Zhang, Jun Zhou, Hang Su |
| 2021 | SIGIR | MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. | Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo |
| 2021 | SIGIR | Learning to Select Instance: Simultaneous Transfer Learning and Clustering. | Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo |
| 2020 | AAAI | Dynamic Network Pruning with Interpretable Layerwise Channel Selection. | Yulong Wang, Xiaolu Zhang, Xiaolin Hu, Bo Zhang, Hang Su |
| 2020 | AAAI | Pruning from Scratch. | Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu |
| 2020 | AAAI | Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. | Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou |
| 2020 | CIKM | aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. | Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, Yu Qiao |
| 2020 | CVPR | QEBA: Query-Efficient Boundary-Based Blackbox Attack. | Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li |
| 2020 | PAKDD | Data-Free Adversarial Perturbations for Practical Black-Box Attack. | Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou |
| 2019 | AAAI | G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification. | Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun |
| 2019 | CVPR | P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification. | Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu |
| 2019 | ICNC | Infrared and Visible Image Fusion Based on Morphological Image Enhancement of Dual-Tree Complex Wavelet. | Changxing Li, Liu Lei, Xiaolu Zhang |
| 2019 | ICNC | Fuzzy Entropy Clustering Image Segmentation Algorithm Based on Potential Two-Dimensional Histogram. | Changxing Li, Xiaolu Zhang, Liu Lei |
| 2019 | IJCAI | AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot. | Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li |
| 2019 | SIGIR | Reinforcement Learning for User Intent Prediction in Customer Service Bots. | Cen Chen, Chilin Fu, Xu Hu, Xiaolu Zhang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao |
| 2017 | FAW | A Further Analysis of the Dynamic Dominant Resource Fairness Mechanism. | Weidong Li, Xi Liu, Xiaolu Zhang, Xuejie Zhang |
| 2017 | GPC | A Profit-Maximum Resource Allocation Approach for Mapreduce in Data Centers. | Xiaolu Zhang, Weidong Li, Xi Liu, Xuejie Zhang |
| 2017 | IWCMC | PELE: Power efficient legitimate eavesdropping via jamming in UAV communications. | Xiaoming Wang, Kai Li, Salil S. Kanhere, Demin Li, Xiaolu Zhang, Eduardo Tovar |
| 2015 | UIC | Auxiliary Antenna for Spatial Modulation with Space-Time Block Code. | Zhihua Yang, Zekai Fang, Yuxia Chen, Xiaolu Zhang |
| 2013 | CIKM | MetKB: enriching RDF knowledge bases with web entity-attribute tables. | Haoqiong Bian, Yueguo Chen, Xiaoyong Du, Xiaolu Zhang |
| 2013 | DASFAA | Mapping Entity-Attribute Web Tables to Web-Scale Knowledge Bases. | Xiaolu Zhang, Yueguo Chen, Jinchuan Chen, Xiaoyong Du, Lei Zou |
| 2008 | CAINE | Scripted Artificially Intelligent Basic Online Tactical Simulation. | Jesse D. Phillips, Roger V. Hoang, Joseph D. Mahsman, Matthew R. Sgambati, Xiaolu Zhang, Sergiu Dascalu, Frederick C. Harris Jr. |
| 2008 | INFOCOM | End-to-End Resource Allocation in OFDM Based Linear Multi-Hop Networks. | Xiaolu Zhang, Wenhua Jiao, Meixia Tao |
| 2007 | GLOBECOM | A Generalized Gradient Scheduling Algorithm in Wireless Networks for Variable Rate Transmission. | Xiaolu Zhang, Meixia Tao, Chun Sum Ng |
| 2007 | GLOBECOM | Non-Cooperative Power Control for Faded Wireless Ad Hoc Networks. | Xiaolu Zhang, Meixia Tao, Chun Sum Ng |
| 2007 | GLOBECOM | Transmission Schemes for Lifetime Maximization in Wireless Sensor Networks: Uncorrelated Source Observations. | Xiaolu Zhang, Meixia Tao, Chun Sum Ng |