| 2026 | ACL | HAG: Hierarchical Demographic Tree-based Agent Generation for Topic-Adaptive Simulation. | Rongxin Chen, Tianyu Wu, Bingbing Xu, Jiatang Luo, Xiucheng Xu, Huawei Shen |
| 2026 | ACL | Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems. | Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding. | Tian Xueyun, Wei Li, Bingbing Xu, Heng Dong, Yuanzhuo Wang, Huawei Shen |
| 2026 | ACL | Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization. | Tian Xueyun, Minghua Ma, Bingbing Xu, Nuoyan Lyu, Wei Li, Heng Dong, Zheng Chu, Yuanzhuo Wang, Huawei Shen |
| 2026 | ACL | Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents. | Xiucheng Xu, Bingbing Xu, Tian Xueyun, Zihe Huang, Rongxin Chen, Yunfan Li, Huawei Shen |
| 2026 | EACL | Incentivizing Strong Reasoning from Weak Supervision. | Yige Yuan, Teng Xiao, Shuchang Tao, Xue Wang, Jinyang Gao, Bolin Ding, Bingbing Xu |
| 2026 | WCNC | A Multi-Objective Topology Optimization Scheme for MEO/LEO Satellite Networks. | Bingbing Xu, Kai Han, Qing Lan, Baojun Lin, Wenbin Gong, Qianyi Ren, Xinying Lu |
| 2026 | SIGIR | Towards Knowledgeable Deep Research: Framework and Benchmark. | Wenxuan Liu, Zixuan Li, Long Bai, Chunmao Zhang, Fenghui Zhang, Zhuo Chen, Wei Li, Yuxin Zuo, Fei Wang, Bingbing Xu, Xuhui Jiang, Jin Zhang, Xiaolong Jin, Jiafeng Guo, Tat-Seng Chua, Xueqi Cheng |
| 2026 | WSDM | Multi-Personality Generation of LLMs at Decoding-time. | Rongxin Chen, Yunfan Li, Yige Yuan, Bingbing Xu, Huawei Shen |
| 2025 | ACL | From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment. | Bin Xie, Bingbing Xu, Yige Yuan, Shengmao Zhu, Huawei Shen |
| 2025 | ACL | Towards Better Value Principles for Large Language Model Alignment: A Systematic Evaluation and Enhancement. | Bingbing Xu, Jing Yao, Xiaoyuan Yi, Aishan Maoliniyazi, Xing Xie, Xiaofeng Meng |
| 2025 | ADMA | MAVI: MLLM-Enhanced Anomaly Validator and Interpreter for Astronomical Time Series. | Xinli Hao, Chaohong Ma, Wei Li, Yihan Tao, Bingbing Xu, Xiaofeng Meng |
| 2025 | CIKM | The 1st Workshop on LLM Agents for Social Simulation. | Yige Yuan, Junkai Zhou, Bingbing Xu, Liang Pang, Du Su, An Zhang, Teng Xiao, Fengli Xu, Zhaochun Ren, Xu Chen |
| 2025 | IC3K | PROM: Personal Knowledge Graph Construction with Large Language Models. | Aishan Maoliniyazi, Chaohong Ma, Xiaofeng Meng, Bingbing Xu |
| 2025 | SMC | Multimodal Sentiment Analysis Based on Uncertain Missing Patterns. | Bingbing Xu, Juan Yang |
| 2025 | WWW | Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling. | Shengmao Zhu, Bingbing Xu, Yige Yuan, Bin Xie, Yunfan Li, Huawei Shen |
| 2025 | SIGIR | InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning. | Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2025 | SIGIR | Fact-Level Calibration and Correction for Long-Form Generations. | Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng |
| 2024 | AAAI | PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. | Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | CVPR | TEA: Test-Time Energy Adaptation. | Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | DASFAA | History Driven Sampling for Scalable Graph Neural Networks. | Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2024 | GLOBECOM | Topology Optimization Method in VLEO-LEO Satellite Networks Using Potential Game Theory. | Kai Han, Shengjun Guo, Bingbing Xu, Wenbin Gong, Symeon Chatzinotas, Ilora Maity |
| 2024 | GLOBECOM | Distributed Multi-objective Topology Optimization Method in VLEO-LEO Satellite Networks. | Kai Han, Bingbing Xu, Marie Siew, Wenbin Gong, Tony Q. S. Quek, Qianyi Ren |
| 2024 | ICDE | SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. | Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng |
| 2024 | SIGIR | Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. | Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2023 | CIKM | Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. | Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen |
| 2023 | CIKM | DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. | Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen |
| 2023 | ICDE | When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks. | Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chenxing Wang |
| 2023 | KDD | DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph. | Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng |
| 2023 | KDD | MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification. | Wen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen |
| 2023 | WWW | Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. | Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng |
| 2023 | WWW | Simple Multi-view Can Bring Powerful Graph Neural Network. | Bingbing Xu, Yang Li, Qi Cao, Huawei Shen |
| 2023 | WWW | Towards Deeper Graph Neural Networks via Layer-Adaptive. | Bingbing Xu, Bin Xie, Huawei Shen |
| 2022 | IJCNN | Towards Powerful Graph Contrastive Learning without Negative Examples. | Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng |
| 2022 | IPIN | Coordinate Mapping Method of Crowdsourced Data for Indoor Fingerprint Localization. | Zhengyi Li, Wen Li, Dongyan Wei, Hong Yuan, Bingbing Xu, Huawei Shen |
| 2022 | KDD | Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. | Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng |
| 2021 | AAAI | Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field. | Bingbing Xu, Huawei Shen, Bing-Jie Sun, Rong An, Qi Cao, Xueqi Cheng |
| 2021 | IGARSS | Implementation of a Federated Large-Scale Remote Sensing Data Sharing Platform. | Xuan Ma, Zhibao Wang, Lu Bai, Bingbing Xu, Juntao Gao, Bilong Wen, Jinhua Tao |
| 2020 | SIGIR | Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. | Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng |
| 2019 | ICLR | Graph Wavelet Neural Network. | Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng |
| 2019 | IJCAI | Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. | Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng |