Shiwan Zhao
34 papers · 2018–2026 · 12 conferences · across top CS/AI conferences
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Conferences
ACL (8)
EMNLP (6)
AAAI (5)
INTERSPEECH (5)
IJCNLP (3)
COLING (1)
CONLL (1)
CVPR (1)
ECCV (1)
IJCAI (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(5)
sentiment classification
(4)
attention mechanism
(4)
reinforcement learning
(3)
sentiment analysis
(3)
contrastive learning
(3)
uncertainty quantification
(3)
speech emotion recognition
(2)
aspect-based sentiment analysis
(2)
mean opinion score
(2)
multi-label learning
(2)
prompt engineering
(2)
aspect sentiment quad prediction
(2)
cross-domain sentiment classification
(2)
differential privacy
(2)
few-shot learning
(2)
feature distillation
(2)
multi-task learning
(2)
prototypical network
(2)
cross-domain sentiment
(2)
Papers
AgentCDM: Enhancing Multi-Agent Collaborative Decision-Making via ACH-Inspired Structured Reasoning
AAAI 2026
DIFFA: Large Language Diffusion Models Can Listen and Understand
AAAI 2026
TTA-Bench: A Comprehensive Benchmark for Evaluating Text-to-Audio Models
AAAI 2026
SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation
ACL 2026
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
EMNLP 2025
SDPO: Segment-Level Direct Preference Optimization for Social Agents
ACL 2025
ChildMandarin: A Comprehensive Mandarin Speech Dataset for Young Children Aged 3-5
ACL 2025
Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives
ACL 2025
Uncertainty-Aware Mean Opinion Score Prediction
INTERSPEECH 2024
Better Zero-Shot Reasoning with Role-Play Prompting
NAACL 2024
Iterative Prototype Refinement for Ambiguous Speech Emotion Recognition
INTERSPEECH 2024
Enhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based Adaptation
INTERSPEECH 2024
Supervised Contrastive Learning with Nearest Neighbor Search for Speech Emotion Recognition
INTERSPEECH 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
ACL 2023
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction
ACL 2023
RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting
INTERSPEECH 2023
PromptRank: Unsupervised Keyphrase Extraction Using Prompt
ACL 2023
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances
COLING 2022
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation
EMNLP 2022
Language Resource Efficient Learning for Captioning
EMNLP 2021
Multi-Label Few-Shot Learning for Aspect Category Detection
ACL 2021
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement
EMNLP 2021
Multi-Label Few-Shot Learning for Aspect Category Detection
IJCNLP 2021
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
AAAI 2020
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search
ECCV 2020
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
NIPS 2019
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification
EMNLP 2019
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis
EMNLP 2019
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification
CVPR 2019
Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis
CONLL 2019
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification
IJCNLP 2019
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis
IJCNLP 2019
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification
AAAI 2019
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction
IJCAI 2018