Yang Feng
136 papers · 2009–2026 · 17 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (17) πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π Academic Marathon (16)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(17)
π§
Keyword Pioneer
π
Conference Loyalist
(29)
π
Keyword Trendsetter Combo
(4)
π
Grand Slam
π
Triple Crown
π
Keyword Champion
(2)
π€
Dynamic Duo
(28)
π¬
Deep Specialist
(58)
π§¬
Topic Evolution
π
Conference Pioneer
β‘
Prolific Year
(10)
ποΈ
Keyword Collector
(472)
π
Trend Setter
β
The Questioner
(2)
π₯
Unstoppable
(10)
π
Century Club
(135)
Conferences
ACL (45)
EMNLP (29)
NIPS (10)
NAACL (8)
ICLR (8)
IJCNLP (7)
AAAI (7)
JMLR (4)
COLING (4)
CVPR (2)
ICML (2)
IJCAI (2)
CONLL (2)
MICCAI (2)
MIDL (2)
ECCV (1)
INTERSPEECH (1)
Top co-authors
Keywords
neural machine translation
(38)
machine translation
(16)
large language model
(11)
simultaneous machine translation
(10)
non-autoregressive translation
(10)
knowledge distillation
(9)
text generation
(8)
domain adaptation
(8)
simultaneous translation
(7)
attention mechanism
(7)
representation learning
(6)
multi-task learning
(5)
latency optimization
(5)
speech translation
(5)
context modeling
(5)
translation quality
(5)
speech-to-speech translation
(4)
catastrophic forgetting
(4)
response generation
(4)
dialogue system
(4)
Papers
Language on Demand, Knowledge at Core: Composing LLMs with Encoder-Decoder Translation Models for Extensible Multilinguality
ACL 2026
LLaMA-Omni 2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis
ACL 2025
FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation
ACL 2025
Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment
ACL 2025
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation
AAAI 2025
LLaMA-Omni: Seamless Speech Interaction with Large Language Models
ICLR 2025
Differentiable Rule Induction from Raw Sequence Inputs
ICLR 2025
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
ICLR 2025
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness
JMLR 2025
MedThink: A Rationale-Guided Framework for Explaining Medical Visual Question Answering
NAACL 2025
TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement
NAACL 2025
IG-Pruning: Input-Guided Block Pruning for Large Language Models
EMNLP 2025
AlignX: Advancing Multilingual Large Language Models with Multilingual Representation Alignment
EMNLP 2025
Identifying and Mitigating Social Bias Knowledge in Language Models
NAACL 2025
Modality-Fair Preference Optimization for Trustworthy MLLM Alignment
IJCAI 2025
Overcoming Non-monotonicity in Transducer-based Streaming Generation
ICML 2025
MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation
NAACL 2025
LLM-based Translation Inference with Iterative Bilingual Understanding
ACL 2025
HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models
ACL 2025
Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning
MICCAI 2025
VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis
EMNLP 2024
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration
NIPS 2024
PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray
MICCAI 2024
A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation
ACL 2024
Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data?
ACL 2024
Decoder-only Streaming Transformer for Simultaneous Translation
ACL 2024
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space
ACL 2024
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning
ACL 2024
Learnable Privacy Neurons Localization in Language Models
ACL 2024
CTC-based Non-autoregressive Textless Speech-to-Speech Translation
ACL 2024
Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation
ACL 2024
Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features
ACL 2024
Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts
ACL 2024
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
ICML 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
ICLR 2024
TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling
AAAI 2024
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
NIPS 2023
Addressing the Length Bias Challenge in Document-Level Neural Machine Translation
EMNLP 2023
Scaling Law for Document Neural Machine Translation
EMNLP 2023
Simultaneous Machine Translation with Tailored Reference
EMNLP 2023
Enhancing Neural Machine Translation with Semantic Units
EMNLP 2023
Non-autoregressive Streaming Transformer for Simultaneous Translation
EMNLP 2023
Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation
EMNLP 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer
NIPS 2023
Rephrasing the Reference for Non-autoregressive Machine Translation
AAAI 2023
Model Adaptive Tooth Segmentation
MIDL 2023
Hidden Markov Transformer for Simultaneous Machine Translation
ICLR 2023
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation
ICLR 2023
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.
ICLR 2023
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar
NIPS 2023
Beyond MLE: Convex Learning for Text Generation
NIPS 2023
Fast Model DeBias with Machine Unlearning
NIPS 2023
Unified Segment-to-Segment Framework for Simultaneous Sequence Generation
NIPS 2023
Towards Distribution-Agnostic Generalized Category Discovery
NIPS 2023
DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation
NIPS 2023
Learning Optimal Policy for Simultaneous Machine Translation via Binary Search
ACL 2023
Back Translation for Speech-to-text Translation Without Transcripts
ACL 2023
CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation
ACL 2023
Understanding and Bridging the Modality Gap for Speech Translation
ACL 2023
End-to-End Simultaneous Speech Translation with Differentiable Segmentation
ACL 2023
Non-Autoregressive Models for Fast Sequence Generation
EMNLP 2022
Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation
ACL 2022
Modeling Dual Read/Write Paths for Simultaneous Machine Translation
ACL 2022
Neural Machine Translation with Phrase-Level Universal Visual Representations
ACL 2022
Reducing Position Bias in Simultaneous Machine Translation with Length-Aware Framework
ACL 2022
STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation
ACL 2022
Prediction Difference Regularization against Perturbation for Neural Machine Translation
ACL 2022
Gaussian Multi-head Attention for Simultaneous Machine Translation
ACL 2022
Information-Transport-based Policy for Simultaneous Translation
EMNLP 2022
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues
EMNLP 2022
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions
EMNLP 2022
Low-resource Neural Machine Translation with Cross-modal Alignment
EMNLP 2022
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation
NIPS 2022
Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation
EMNLP 2022
Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation
EMNLP 2022
Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation
EMNLP 2022
Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mapping
EMNLP 2022
Relational Surrogate Loss Learning
ICLR 2022
Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans
MIDL 2022
One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation
NAACL 2022
RaSE: Random Subspace Ensemble Classification
JMLR 2021
Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation
NAACL 2021
ICTβs System for AutoSimTrans 2021: Robust Char-Level Simultaneous Translation
NAACL 2021
Future-Guided Incremental Transformer for Simultaneous Translation
AAAI 2021
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency
ACL 2021
Importance-based Neuron Allocation for Multilingual Neural Machine Translation
ACL 2021
GTM: A Generative Triple-wise Model for Conversational Question Generation
ACL 2021
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation
ACL 2021
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances
ACL 2021
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances
IJCNLP 2021
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation
IJCNLP 2021
GTM: A Generative Triple-wise Model for Conversational Question Generation
IJCNLP 2021
Importance-based Neuron Allocation for Multilingual Neural Machine Translation
IJCNLP 2021
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency
IJCNLP 2021
Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model
EMNLP 2021
Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy
EMNLP 2021
Mixup Decoding for Diverse Machine Translation
EMNLP 2021
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
AAAI 2020
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
AAAI 2020
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation
COLING 2020
Robust Neural Machine Translation with ASR Errors
ACL 2020
[RETRACTED] A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking
ACL 2020
CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation
ACL 2020
Bridging the Gap between Training and Inference for Neural Machine Translation (Extended Abstract)
IJCAI 2020
Token-level Adaptive Training for Neural Machine Translation
EMNLP 2020
Generating Diverse Translation from Model Distribution with Dropout
EMNLP 2020
Neyman-Pearson classification: parametrics and sample size requirement
JMLR 2020
Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables
ACL 2019
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation
ACL 2019
Improving Domain Adaptation Translation with Domain Invariant and Specific Information
NAACL 2019
Unsupervised Image Captioning
CVPR 2019
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation
EMNLP 2019
Multi-Winner Contests for Strategic Diffusion in Social Networks
AAAI 2019
Bridging the Gap between Training and Inference for Neural Machine Translation
ACL 2019
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations
ACL 2019
Spatio-Temporal Video Re-Localization by Warp LSTM
CVPR 2019
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation
IJCNLP 2019
Knowledge Diffusion for Neural Dialogue Generation
ACL 2018
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation
EMNLP 2018
Video Re-localization
ECCV 2018
Refining Source Representations with Relation Networks for Neural Machine Translation
COLING 2018
Speeding Up Neural Machine Translation Decoding by Cube Pruning
EMNLP 2018
Flexible and Creative Chinese Poetry Generation Using Neural Memory
ACL 2017
Memory-augmented Neural Machine Translation
EMNLP 2017
Auditory Processing Impairments Under Background Noise in Children with Non-Syndromic Cleft Lip and/or Palate
INTERSPEECH 2016
Neyman-Pearson Classification under High-Dimensional Settings
JMLR 2016
Factored Markov Translation with Robust Modeling
CONLL 2014
A Markov Model of Machine Translation using Non-parametric Bayesian Inference
ACL 2013
Hierarchical Chunk-to-String Translation
ACL 2012
Left-to-Right Tree-to-String Decoding with Prediction
CONLL 2012
Left-to-Right Tree-to-String Decoding with Prediction
EMNLP 2012
Automatic Bilingual Phrase Extraction from Comparable Corpora
COLING 2012
An Efficient Shift-Reduce Decoding Algorithm for Phrased-Based Machine Translation
COLING 2010
Joint Decoding with Multiple Translation Models
IJCNLP 2009
Joint Decoding with Multiple Translation Models
ACL 2009
Lattice-based System Combination for Statistical Machine Translation
EMNLP 2009