84 citations · 124 across the 7 of their papers we have counts for
8 papers
From Prompts to Trees: Effective LLM-Guided Tree Generation for Few-Shot Tabular Classification
Yue Qiu, Zekang Du, Yiqun Diao +2
While Large Language Models (LLMs) possess rich world knowledge and impressive generalization capabilities, their direct application to tabular data classification is hindered by h…
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection
Sihao Hu, Zhen Zhang, Bingqiao Luo +3
As various forms of fraud proliferate on Ethereum, it is imperative to safeguard against these malicious activities to protect susceptible users from being victimized. While curren…
HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks
Zining Zhang, Bingsheng He, Zhenjie Zhang
To efficiently perform inference with neural networks, the underlying tensor programs require sufficient tuning efforts before being deployed into production environments. Usually,…
Practical Vertical Federated Learning with Unsupervised Representation Learning
Zhaomin Wu, Qinbin Li, Bingsheng He
As societal concerns on data privacy recently increase, we have witnessed data silos among multiple parties in various applications. Federated learning emerges as a new learning pa…
Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump
Sihao Hu, Zhen Zhang, Shengliang Lu +2
With the proliferation of pump-and-dump schemes (P&Ds) in the cryptocurrency market, it becomes imperative to detect such fraudulent activities in advance to alert potentially susc…
TransMask: A Compact and Fast Speech Separation Model Based on Transformer
Zining Zhang, Bingsheng He, Zhenjie Zhang
Speech separation is an important problem in speech processing, which targets to separate and generate clean speech from a mixed audio containing speech from different speakers. Em…
GAZEV: GAN-Based Zero-Shot Voice Conversion over Non-parallel Speech Corpus
Zining Zhang, Bingsheng He, Zhenjie Zhang
Non-parallel many-to-many voice conversion is recently attract-ing huge research efforts in the speech processing community. A voice conversion system transforms an utterance of a…
X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network
Zining Zhang, Bingsheng He, Zhenjie Zhang
Extracting the speech of a target speaker from mixed audios, based on a reference speech from the target speaker, is a challenging yet powerful technology in speech processing. Rec…