Ning Cheng
25 papers · 2020–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (62) 🤝 Dynamic Duo (20)
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Keyword Collector
(129)
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Unstoppable · Bronze
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Prolific Year · Productive
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Renaissance Researcher
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Century Club · Bronze
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Research topics
Machine Learning
(17)
Deep Learning
(13)
Artificial Intelligence
(11)
Learning Types · Machine Learning
(10)
Speech & Audio
(8)
Core AI
(8)
Learning Types · Deep Learning
(6)
Application Areas
(5)
Optimization & Theory
(5)
Techniques
(5)
Natural Language Processing
(4)
Core Methods
(4)
Recognition
(4)
Analysis
(3)
Architectures
(3)
Keywords
large language model
(6)
attention mechanism
(5)
transfer learning
(2)
uncertainty estimation
(2)
monotonic alignment
(2)
knowledge distillation
(2)
low-resource learning
(2)
model compression
(2)
gaussian process
(2)
audio classification
(2)
speech recognition
(2)
uncertainty quantification
(2)
automatic speech recognition
(2)
self-supervised learning
(2)
instruction tuning
(2)
noisy label learning
(1)
multi-task learning
(1)
speech separation
(1)
semi-supervised learning
(1)
reinforcement learning
(1)
Papers
STOLA: Self-Adaptive Touch-Language Framework for Tactile Commonsense Reasoning in Open-Ended Scenarios
AAAI 2026
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models
ACL 2025
Enhancing Serialized Output Training for Multi-Talker ASR with Soft Monotonic Alignment and Utterance-level Timestamp
Interspeech 2025
GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression
EMNLP 2025
Multi-Stage LLM Fine-Tuning with a Continual Learning Setting
NAACL 2025
Towards Efficiently Whisper Fine-tuning with Monotonic Alignments
Interspeech 2025
CollabKG: A Learnable Human-Machine-Cooperative Information Extraction Toolkit for (Event) Knowledge Graph Construction
COLING 2024
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
NAACL 2024
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
ACL 2024
Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism
Interspeech 2023
EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis
Interspeech 2023
Investigation of Music Emotion Recognition Based on Segmented Semi-Supervised Learning
Interspeech 2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models
AAAI 2023
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter
EMNLP 2023
Prompt Guided Copy Mechanism for Conversational Question Answering
Interspeech 2023
Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion
Interspeech 2022
Tiny-Sepformer: A Tiny Time-Domain Transformer Network For Speech Separation
Interspeech 2022
Uncertainty Calibration for Deep Audio Classifiers
Interspeech 2022
Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation
Interspeech 2021
Speech2Video: Cross-Modal Distillation for Speech to Video Generation
Interspeech 2021
Variational Information Bottleneck for Effective Low-Resource Audio Classification
Interspeech 2021
A Real-Time Robot-Based Auxiliary System for Risk Evaluation of COVID-19 Infection
Interspeech 2020
Large-Scale Transfer Learning for Low-Resource Spoken Language Understanding
Interspeech 2020
MLNET: An Adaptive Multiple Receptive-Field Attention Neural Network for Voice Activity Detection
Interspeech 2020
Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit
Interspeech 2020