Zixing Zhang
17 papers · 2016–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (4)
π
Conference Polyglot
(5)
π
Academic Marathon
(9)
π§
Keyword Pioneer
π§¬
Topic Evolution
π₯
Unstoppable
(5)
π
Trend Setter
π
Century Club
(15)
π
Conference Pioneer
ποΈ
Keyword Collector
(87)
Conferences
INTERSPEECH (10)
AAAI (4)
ACL (1)
IJCAI (1)
NAACL (1)
Top co-authors
Research topics
Keywords
speech emotion recognition
(6)
recurrent neural network
(3)
attention mechanism
(3)
conversational emotion recognition
(3)
sentiment analysis
(2)
support vector machine
(2)
feature disentanglement
(1)
flow matching
(1)
speech synthesis
(1)
intellectual property
(1)
neural architecture search
(1)
deep learning
(1)
prototype learning
(1)
speech analysis
(1)
support vector regression
(1)
response generation
(1)
hierarchical representation
(1)
speech classification
(1)
context modeling
(1)
feature representation
(1)
Papers
SACodec: Asymmetric Quantization with Semantic Anchoring for Low-Bitrate High-Fidelity Neural Speech Codecs
AAAI 2026
PLUM-Net: Prototype-Induced Label Structuring for Disentangled Multimodal Representation Network
AAAI 2026
Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective
IJCAI 2025
ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis
AAAI 2025
Dual-View Learning for Conversational Emotion Recognition Through Context and Emotion-Shift Modeling
AAAI 2025
EmoTransKG: An Innovative Emotion Knowledge Graph to Reveal Emotion Transformation
ACL 2024
LSTDial: Enhancing Dialogue Generation via Long- and Short-Term Measurement Feedback
NAACL 2024
Speaker-aware Cross-modal Fusion Architecture for Conversational Emotion Recognition
INTERSPEECH 2023
An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety
INTERSPEECH 2020
Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition
INTERSPEECH 2019
Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition
INTERSPEECH 2019
Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech
INTERSPEECH 2018
Automated Classification of Childrenβs Linguistic versus Non-Linguistic Vocalisations
INTERSPEECH 2018
Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition
INTERSPEECH 2018
Evolving Learning for Analysing Mood-Related Infant Vocalisation
INTERSPEECH 2018
Towards Intelligent Crowdsourcing for Audio Data Annotation: Integrating Active Learning in the Real World
INTERSPEECH 2017
Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks
INTERSPEECH 2016