Chenglong Wang
35 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (7)
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Hot Topic Early Bird
π
Cross-Pollinator
(12)
πΊοΈ
Taxonomy Completionist
(67)
π€
Dynamic Duo
(13)
π
Grand Slam
π§¬
Topic Evolution
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Keyword Champion
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(144)
β
The Questioner
(2)
π₯
Unstoppable
(8)
π
Century Club
(30)
Conferences
EMNLP (11)
AAAI (7)
INTERSPEECH (5)
ACL (4)
ICLR (2)
ICML (2)
NIPS (2)
CVPR (1)
NAACL (1)
Top co-authors
Keywords
fake audio detection
(5)
knowledge distillation
(5)
catastrophic forgetting
(4)
machine translation
(4)
model compression
(4)
audio deepfake detection
(4)
continual learning
(4)
reward model
(3)
code generation
(3)
neural machine translation
(3)
large language model
(3)
model ensemble
(2)
reinforcement learning from human feedback
(2)
proximal policy optimization
(2)
transfer learning
(2)
quality estimation
(2)
preference optimization
(2)
reinforcement learning
(2)
language model alignment
(2)
efficient computing
(2)
Papers
On the Emotion Understanding of Synthesized Speech
ACL 2026
GRAM-RΒ²: Self-Training Generative Foundation Reward Models for Reward Reasoning
AAAI 2026
SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement
AAAI 2026
Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
AAAI 2026
RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment
ACL 2026
Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models
EMNLP 2025
Region-Based Optimization in Continual Learning for Audio Deepfake Detection
AAAI 2025
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data
AAAI 2025
HEAL: A Hypothesis-Based Preference-Aware Analysis Framework
EMNLP 2025
Defending against Indirect Prompt Injection by Instruction Detection
EMNLP 2025
GRAM: A Generative Foundation Reward Model for Reward Generalization
ICML 2025
Is Self-Repair a Silver Bullet for Code Generation?
ICLR 2024
Revealing the Parallel Multilingual Learning within Large Language Models
EMNLP 2024
Hybrid Alignment Training for Large Language Models
ACL 2024
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection
AAAI 2024
ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
AAAI 2024
RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection
INTERSPEECH 2024
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
ICML 2023
Detection of Cross-Dataset Fake Audio Based on Prosodic and Pronunciation Features
INTERSPEECH 2023
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
ICLR 2023
TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection
INTERSPEECH 2023
CodeExp: Explanatory Code Document Generation
EMNLP 2022
Execution-based Evaluation for Data Science Code Generation Models
EMNLP 2022
Fault-Aware Neural Code Rankers
NIPS 2022
Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection
EMNLP 2022
RankNAS: Efficient Neural Architecture Search by Pairwise Ranking
EMNLP 2021
The NiuTrans System for the WMT 2021 Efficiency Task
EMNLP 2021
Continual Learning for Fake Audio Detection
INTERSPEECH 2021
Half-Truth: A Partially Fake Audio Detection Dataset
INTERSPEECH 2021
The NiuTrans Machine Translation Systems for WMT21
EMNLP 2021
The NiuTrans System for WNGT 2020 Efficiency Task
ACL 2020
The NiuTrans System for the WMT20 Quality Estimation Shared Task
EMNLP 2020
Learning Transferable Graph Exploration
NIPS 2019
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications
CVPR 2019
Natural Language to Structured Query Generation via Meta-Learning
NAACL 2018