ML Anthology

He, Bingsheng

33 publications

ICML 2025 Adapting Precomputed Features for Efficient Graph Condensation Yuan Li, Jun Hu, Zemin Liu, Bryan Hooi, Jia Chen, Bingsheng He
ICLRW 2025 AgentTaxo: Dissecting and Benchmarking Token Distribution of LLM Multi-Agent Systems Qian Wang, Zhenheng Tang, Zichen Jiang, Nuo Chen, Tianyu Wang, Bingsheng He
ICLRW 2025 All It Takes Is One Prompt: An Autonomous LLM-MA System Qian Wang, Tianyu Wang, Zhenheng Tang, Qinbin Li, Nuo Chen, Jingsheng Liang, Bingsheng He
ICLRW 2025 Feather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language Models Wenqi Pei, Hailing Xu, Henry Hengyuan Zhao, Chen Han, Zining Zhang, Shizheng Hou, Luo Pingyi, Bingsheng He
ICLRW 2025 LogQuant: Log-Distributed 2-Bit Quantization of KV Cache with Superior Accuracy Preservation Chen Han, Zicong Jiang, Zining Zhang, Bingsheng He, Luo Pingyi, Mian Lu, Yuqiang Chen
ICLRW 2025 MPAW: Multi-Preference Alignment Through Weak Model Collaboration for Efficient and Flexible LLM Decoding Nuo Chen, Guojun Xiong, Bingsheng He
AAAI 2025 Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei
ICLR 2025 Multi-Label Node Classification with Label Influence Propagation Yifei Sun, Zemin Liu, Bryan Hooi, Yang Yang, Rizal Fathony, Jia Chen, Bingsheng He
ICML 2025 Position: Current Model Licensing Practices Are Dragging Us into a Quagmire of Legal Noncompliance Moming Duan, Mingzhe Du, Rui Zhao, Mengying Wang, Yinghui Wu, Nigel Shadbolt, Bingsheng He
NeurIPS 2025 Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming Zhen Zhang, Bingsheng He
ICLR 2024 Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Rizal Fathony, Jun Hu, Jia Chen
ICLR 2024 EX-Graph: A Pioneering Dataset Bridging Ethereum and X Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo, Bingsheng He
ICLR 2024 Effective and Efficient Federated Tree Learning on Hybrid Data Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
AAAI 2024 Exploiting Label Skews in Federated Learning with Model Concatenation Yiqun Diao, Qinbin Li, Bingsheng He
NeurIPS 2024 Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data Zhaomin Wu, Junyi Hou, Yiqun Diao, Bingsheng He
NeurIPS 2024 Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets Bingqiao Luo, Zhen Zhang, Qian Wang, Bingsheng He
ICLR 2024 Partitioning Message Passing for Graph Fraud Detection Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen
IJCAI 2024 Practical Hybrid Gradient Compression for Federated Learning Systems Sixu Hu, Linshan Jiang, Bingsheng He
NeurIPS 2024 Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou
ICLR 2024 VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks Zhaomin Wu, Junyi Hou, Bingsheng He
ICML 2023 Adversarial Collaborative Learning on Non-IID Features Qinbin Li, Bingsheng He, Dawn Song
NeurIPS 2023 Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He
ICLR 2023 Towards Addressing Label Skews in One-Shot Federated Learning Yiqun Diao, Qinbin Li, Bingsheng He
NeurIPS 2022 A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning Zhaomin Wu, Qinbin Li, Bingsheng He
IJCAI 2021 Challenges and Opportunities of Building Fast GBDT Systems Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui
CVPR 2021 Model-Contrastive Federated Learning Qinbin Li, Bingsheng He, Dawn Song
IJCAI 2021 Practical One-Shot Federated Learning for Cross-Silo Setting Qinbin Li, Bingsheng He, Dawn Song
IJCAI 2020 PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction Feng Zhang, Ningxuan Feng, Yani Liu, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiaoyong Du
AAAI 2020 Practical Federated Gradient Boosting Decision Trees Qinbin Li, Zeyi Wen, Bingsheng He
AAAI 2020 Privacy-Preserving Gradient Boosting Decision Trees Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He
MLOSS 2020 ThunderGBM: Fast GBDTs and Random Forests on GPUs Zeyi Wen, Hanfeng Liu, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen
AAAI 2018 Efficient Support Vector Machine Training Algorithm on GPUs Jiashuai Shi, Zeyi Wen, Bingsheng He, Jian Chen
MLOSS 2018 ThunderSVM: A Fast SVM Library on GPUs and CPUs Zeyi Wen, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen