Bingsheng He

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs AAAI 2026 Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning AAAI 2026 FLARE: Anomaly Diagnostics for Divergent LLM Training in GPU Clusters of Thousand-Plus Scale NSDI 2026 MuxTune: Efficient Multi-Task LLM Fine-Tuning in Multi-Tenant Datacenters via Spatial-Temporal Backbone Multiplexing NSDI 2026 NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification AAAI 2026 XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration ACL 2026 Adapting Precomputed Features for Efficient Graph Condensation ICML 2025 Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance NAACL 2025 Feather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language Models IJCNLP 2025 Federated Data-Efficient Instruction Tuning for Large Language Models ACL 2025 MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs ACL 2025 Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation AAAI 2025 Model-based Large Language Model Customization as Service EMNLP 2025 Multi-Label Node Classification with Label Influence Propagation ICLR 2025 Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance ICML 2025 Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision ICLR 2024 CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading EMNLP 2024 Effective and Efficient Federated Tree Learning on Hybrid Data ICLR 2024 EX-Graph: A Pioneering Dataset Bridging Ethereum and X ICLR 2024 Exploiting Label Skews in Federated Learning with Model Concatenation AAAI 2024 Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data NeurIPS 2024 Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets NeurIPS 2024 Partitioning Message Passing for Graph Fraud Detection ICLR 2024 Practical Hybrid Gradient Compression for Federated Learning Systems IJCAI 2024 Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation NeurIPS 2024 VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks ICLR 2024 Adversarial Collaborative Learning on Non-IID Features ICML 2023 Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT NeurIPS 2023 Towards Addressing Label Skews in One-Shot Federated Learning ICLR 2023 A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning NeurIPS 2022 Challenges and Opportunities of Building Fast GBDT Systems IJCAI 2021 Model-Contrastive Federated Learning CVPR 2021 Practical One-Shot Federated Learning for Cross-Silo Setting IJCAI 2021 GAZEV: GAN-Based Zero-Shot Voice Conversion Over Non-Parallel Speech Corpus Interspeech 2020 PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction IJCAI 2020 Practical Federated Gradient Boosting Decision Trees AAAI 2020 Privacy-Preserving Gradient Boosting Decision Trees AAAI 2020 ThunderGBM: Fast GBDTs and Random Forests on GPUs JMLR 2020 X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network Interspeech 2020 G-NET: Effective GPU Sharing in NFV Systems NSDI 2018 ThunderSVM: A Fast SVM Library on GPUs and CPUs JMLR 2018