8 citations · 12 across the 8 of their papers we have counts for
8 papers
AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts
Meng Jiang, Yi Jing Yu, Qing Zhao +8
Cognitive Behavioral Therapy (CBT) is an effective technique for addressing the irrational thoughts stemming from mental illnesses, but it necessitates precise identification of co…
Align-DFER: Pioneering Comprehensive Dynamic Affective Alignment for Dynamic Facial Expression Recognition with CLIP
Zeng Tao, Yan Wang, Junxiong Lin +9
The performance of CLIP in dynamic facial expression recognition (DFER) task doesn't yield exceptional results as observed in other CLIP-based classification tasks. While CLIP's pr…
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness
Nikola Pavlovic, Sudeep Salgia, Qing Zhao
We consider distributed kernel bandits where agents aim to collaboratively maximize an unknown reward function that lies in a reproducing kernel Hilbert space. Each agent seque…
Non-parametric Probabilistic Time Series Forecasting via Innovations Representation
Xinyi Wang, Meijen Lee, Qing Zhao +1
Probabilistic time series forecasting predicts the conditional probability distributions of the time series at a future time given past realizations. Such techniques are critical i…
Multi-qubit State Tomography with Few Pauli Measurements
Xudan Chai, Teng Ma, Qihao Guo +3
In quantum information transformation and quantum computation, the most critical issues are security and accuracy. These features, therefore, stimulate research on quantum state ch…
Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach
Dan Ben Ami, Kobi Cohen, Qing Zhao
Federated learning (FL) is an emerging machine learning (ML) paradigm used to train models across multiple nodes (i.e., clients) holding local data sets, without explicitly exchang…