Bingsheng He
40 papers · 2018–2026 · 14 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π§ Keyword Pioneer π Conference Polyglot (13) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Academic Marathon (7)
π
Academic Marathon
(7)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(8)
π
Keyword Champion
(2)
π€
Dynamic Duo
(13)
π
Triple Crown
π
Grand Slam
π
Century Club
(35)
π₯
Unstoppable
(6)
β‘
Prolific Year
(6)
π
Trend Setter
ποΈ
Keyword Collector
(166)
Conferences
AAAI (7)
ICLR (7)
NIPS (5)
IJCAI (4)
ACL (3)
ICML (3)
EMNLP (2)
INTERSPEECH (2)
JMLR (2)
AACL (1)
CVPR (1)
IJCNLP (1)
NAACL (1)
NSDI (1)
Top co-authors
Research topics
Keywords
federated learning
(7)
large language model
(5)
graph neural network
(4)
gradient boosting decision tree
(4)
differential privacy
(4)
small language model
(3)
schema pruning
(2)
natural language to sql
(2)
communication cost
(2)
model accuracy
(2)
gpu computing
(2)
ensemble learning
(2)
privacy-preserving machine learning
(2)
domain adaptation
(2)
sql generation
(2)
vertical federated learning
(2)
instruction tuning
(2)
parallel computing
(2)
transfer learning
(1)
few-shot learning
(1)
Papers
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
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
Multi-Label Node Classification with Label Influence Propagation
ICLR 2025
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
AAAI 2025
MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs
ACL 2025
Federated Data-Efficient Instruction Tuning for Large Language Models
ACL 2025
Model-based Large Language Model Customization as Service
EMNLP 2025
Adapting Precomputed Features for Efficient Graph Condensation
ICML 2025
Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance
ICML 2025
Feather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language Models
IJCNLP 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
AACL 2025
Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets
NIPS 2024
Practical Hybrid Gradient Compression for Federated Learning Systems
IJCAI 2024
Partitioning Message Passing for Graph Fraud Detection
ICLR 2024
EX-Graph: A Pioneering Dataset Bridging Ethereum and X
ICLR 2024
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
ICLR 2024
Effective and Efficient Federated Tree Learning on Hybrid Data
ICLR 2024
CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading
EMNLP 2024
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
ICLR 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
NIPS 2024
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
NIPS 2024
Exploiting Label Skews in Federated Learning with Model Concatenation
AAAI 2024
Towards Addressing Label Skews in One-Shot Federated Learning
ICLR 2023
Adversarial Collaborative Learning on Non-IID Features
ICML 2023
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT
NIPS 2023
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning
NIPS 2022
Practical One-Shot Federated Learning for Cross-Silo Setting
IJCAI 2021
Model-Contrastive Federated Learning
CVPR 2021
Challenges and Opportunities of Building Fast GBDT Systems
IJCAI 2021
Practical Federated Gradient Boosting Decision Trees
AAAI 2020
PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction
IJCAI 2020
X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network
INTERSPEECH 2020
Privacy-Preserving Gradient Boosting Decision Trees
AAAI 2020
ThunderGBM: Fast GBDTs and Random Forests on GPUs
JMLR 2020
GAZEV: GAN-Based Zero-Shot Voice Conversion Over Non-Parallel Speech Corpus
INTERSPEECH 2020
ThunderSVM: A Fast SVM Library on GPUs and CPUs
JMLR 2018
G-NET: Effective GPU Sharing in NFV Systems
NSDI 2018