Bingbing Xu

72 papers A* 15A 4B 1C 1Journal 40Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
ACE-Align: Attribute Causal Effect Alignment for Cultural Values under Varying Persona Granularities.
CoRR
Jiatang Luo, Bingbing Xu, Rongxin Chen, Xiaoyan Zhao, Yang Zhang, Liang Pang, Zhiyong Huang, Tat-Seng Chua, Huawei Shen
2026 J jnl
Beyond Entangled Planning: Task-Decoupled Planning for Long-Horizon Agents.
CoRR
Yunfan Li, Bingbing Xu, Xueyun Tian, Xiucheng Xu, Huawei Shen
2026 J jnl
Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents.
CoRR
Xiucheng Xu, Bingbing Xu, Xueyun Tian, Zihe Huang, Rongxin Chen, Yunfan Li, Huawei Shen
2026 J jnl
Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems.
CoRR
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2026 J jnl
GIFT: Games as Informal Training for Generalizable LLMs.
CoRR
Nuoyan Lyu, Bingbing Xu, Weihao Meng, Yige Yuan, Yang Zhang, Zhiyong Huang, Tat-Seng Chua, Huawei Shen
2026 J jnl
HAG: Hierarchical Demographic Tree-based Agent Generation for Topic-Adaptive Simulation.
CoRR
Rongxin Chen, Tianyu Wu, Bingbing Xu, Jiatang Luo, Xiucheng Xu, Huawei Shen
2026 — conf
Incentivizing Strong Reasoning from Weak Supervision.
EACL (Volume 1: Long Papers)
Yige Yuan, Teng Xiao, Shuchang Tao, Xue Wang, Jinyang Gao, Bolin Ding, Bingbing Xu
2026 J jnl
Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization.
CoRR
Xueyun Tian, Minghua Ma, Bingbing Xu, Nuoyan Lyu, Wei Li, Heng Dong, Zheng Chu, Yuanzhuo Wang, Huawei Shen
2026 A conf
Multi-Personality Generation of LLMs at Decoding-time.
WSDM
Rongxin Chen, Yunfan Li, Yige Yuan, Bingbing Xu, Huawei Shen
2026 J jnl
R
CoRR
Jingchu Wang, Bingbing Xu, Yige Yuan, Bin Xie, Xiaoqian Sun, Huawei Shen
2026 J jnl
ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding.
CoRR
Xueyun Tian, Wei Li, Bingbing Xu, Heng Dong, Yuanzhuo Wang, Huawei Shen
2026 J jnl
Towards Robust Process Reward Modeling via Noise-aware Learning.
CoRR
Bin Xie, Bingbing Xu, Xueyun Tian, Yilin Chen, Huawei Shen
2025 — conf
Data Usage Privacy Auditing for Semi-supervised GNNs.
SIGIR-AP
Yang Li, Kaike Zhang, Bingbing Xu, Fei Sun, Qi Cao, Huawei Shen
2025 A* conf
Fact-Level Calibration and Correction for Long-Form Generations.
SIGIR
Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng
2025 — conf
From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment.
ACL (1)
Bin Xie, Bingbing Xu, Yige Yuan, Shengmao Zhu, Huawei Shen
2025 J jnl
From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment.
CoRR
Bin Xie, Bingbing Xu, Yige Yuan, Shengmao Zhu, Huawei Shen
2025 — conf
GDA: Graph Distance Autoencoder for Label-only Membership Inference Attack on GNNs.
SIGIR-AP
Yang Li, Yunfan Wu, Bingbing Xu, Fei Sun, Qi Cao, Huawei Shen
2025 J jnl
Incentivizing Strong Reasoning from Weak Supervision.
CoRR
Yige Yuan, Teng Xiao, Shuchang Tao, Xue Wang, Jinyang Gao, Bolin Ding, Bingbing Xu
2025 J jnl
Inference-time Alignment in Continuous Space.
CoRR
Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng
2025 A* conf
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning.
SIGIR
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2025 J jnl
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning.
CoRR
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2025 J jnl
KnowCoder-V2: Deep Knowledge Analysis.
CoRR
Zixuan Li, Wenxuan Liu, Long Bai, Chunmao Zhang, Wei Li, Fenghui Zhang, Quanxin Jin, Ruoyun He, Zhuo Chen, Zhilei Hu, Fei Wang, Bingbing Xu, Xuhui Jiang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2025 J jnl
MIGE: A Unified Framework for Multimodal Instruction-Based Image Generation and Editing.
CoRR
Xueyun Tian, Wei Li, Bingbing Xu, Yige Yuan, Yuanzhuo Wang, Huawei Shen
2025 A* conf
MIGE: Mutually Enhanced Multimodal Instruction-Based Image Generation and Editing.
ACM Multimedia
Xueyun Tian, Wei Li, Bingbing Xu, Yige Yuan, Yuanzhuo Wang, Huawei Shen
2025 J jnl
Multi-Personality Generation of LLMs at Decoding-time.
CoRR
Rongxin Chen, Yunfan Li, Yige Yuan, Bingbing Xu, Huawei Shen
2025 A conf
The 1st Workshop on LLM Agents for Social Simulation.
CIKM
Yige Yuan, Junkai Zhou, Bingbing Xu, Liang Pang, Du Su, An Zhang, Teng Xiao, Fengli Xu, Zhaochun Ren, Xu Chen
2025 — conf
Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling.
WWW (Companion Volume)
Shengmao Zhu, Bingbing Xu, Yige Yuan, Bin Xie, Yunfan Li, Huawei Shen
2024 J jnl
Fact-Level Confidence Calibration and Self-Correction.
CoRR
Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng
2024 J jnl
Graph Domain Adaptation: Challenges, Progress and Prospects.
CoRR
Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng
2024 — conf
History Driven Sampling for Scalable Graph Neural Networks.
DASFAA (6)
Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng
2024 J jnl
IDEA: Invariant defense for graph adversarial robustness.
Inf. Sci.
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng
2024 J jnl
MITA: Bridging the Gap between Model and Data for Test-time Adaptation.
CoRR
Yige Yuan, Bingbing Xu, Teng Xiao, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2024 A* conf
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning.
SIGIR
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2024 J jnl
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning.
CoRR
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2024 A* conf
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion.
AAAI
Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2024 A* conf
SACH: Significant-Attributed Community Search in Heterogeneous Information Networks.
ICDE
Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng
2024 A* conf
TEA: Test-Time Energy Adaptation.
CVPR
Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2024 J jnl
Towards generalizable Graph Contrastive Learning: An information theory perspective.
Neural Networks
Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng
2023 A conf
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer.
CIKM
Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen
2023 J jnl
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer.
CoRR
Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen
2023 J jnl
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks.
CoRR
Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng
2023 A conf
DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection.
CIKM
Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen
2023 A* conf
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph.
KDD
Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng
2023 J jnl
IDEA: Invariant Causal Defense for Graph Adversarial Robustness.
CoRR
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng
2023 A* conf
MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification.
KDD
Wen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen
2023 J jnl
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion.
CoRR
Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2023 A* conf
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network.
WWW
Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng
2023 J jnl
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network.
CoRR
Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng
2023 J jnl
Significant-attributed Community Search in Heterogeneous Information Networks.
CoRR
Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng
2023 — conf
Simple Multi-view Can Bring Powerful Graph Neural Network.
WWW (Companion Volume)
Bingbing Xu, Yang Li, Qi Cao, Huawei Shen
2023 J jnl
TEA: Test-time Energy Adaptation.
CoRR
Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2023 — conf
Towards Deeper Graph Neural Networks via Layer-Adaptive.
WWW (Companion Volume)
Bingbing Xu, Bin Xie, Huawei Shen
2023 A* conf
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks.
ICDE
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chenxing Wang
2022 A* conf
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks.
KDD
Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng
2022 C conf
Coordinate Mapping Method of Crowdsourced Data for Indoor Fingerprint Localization.
IPIN
Zhengyi Li, Wen Li, Dongyan Wei, Hong Yuan, Bingbing Xu, Huawei Shen
2022 J jnl
DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning.
CoRR
Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng
2022 J jnl
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network.
CoRR
Yang Li, Bingbing Xu, Qi Cao, Yige Yuan, Huawei Shen
2022 J jnl
Location-aware convolutional neural networks for graph classification.
Neural Networks
Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng
2022 — conf
Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman.
LoG
Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Muhan Zhang, Xueqi Cheng
2022 J jnl
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective.
CoRR
Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng
2022 B conf
Towards Powerful Graph Contrastive Learning without Negative Examples.
IJCNN
Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng
2022 J jnl
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification.
CoRR
Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Xueqi Cheng
2021 A* conf
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field.
AAAI
Bingbing Xu, Huawei Shen, Bing-Jie Sun, Rong An, Qi Cao, Xueqi Cheng
2020 J jnl
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning.
CoRR
Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng
2020 A* conf
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification.
SIGIR
Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng
2020 J jnl
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification.
CoRR
Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng
2019 J jnl
A Graph Auto-Encoder for Attributed Network Embedding.
CoRR
Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng
2019 A* conf
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning.
IJCAI
Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng
2019 — conf
Graph Wavelet Neural Network.
ICLR (Poster)
Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng
2019 J jnl
Graph Wavelet Neural Network.
CoRR
Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng
2019 J jnl
User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction: First-place Entry for User Profiling Technology Evaluation Campaign in SMP Cup 2017.
Data Intell.
Guoliang Xing, Hao Gao, Qi Cao, Xinyu Yue, Bingbing Xu, Keting Cen, Huawei Shen
2017 — conf
Ict_spring Belief and Sentiment System at TAC 2017.
TAC
Yihan Ni, Bingbing Xu, Yue Zhao, Hui Du