Yingce Xia
47 papers · 2015–2026 · 11 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
Jump to papers ↓+15 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (74) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π€
Dynamic Duo
(40)
π
Keyword Trendsetter Combo
(3)
π¬
Deep Specialist
(19)
π
Keyword Champion
π§
Keyword Pioneer
π
Triple Crown
π
Grand Slam
π
Renaissance Researcher
(8)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Prolific
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(183)
Venues
Top co-authors
Research topics
Machine Learning
(30)
Deep Learning
(27)
Natural Language Processing
(24)
Applications
(19)
Learning Types Β· Deep Learning
(15)
Learning Types Β· Machine Learning
(14)
Architectures
(13)
Core Methods
(10)
Artificial Intelligence
(9)
Optimization & Theory
(8)
Core AI
(7)
Generation
(7)
Application Areas
(6)
Models
(5)
Reinforcement Learning
(3)
Keywords
neural machine translation
(20)
machine translation
(6)
dual learning
(5)
data augmentation
(4)
drug discovery
(4)
sequence generation
(4)
molecular generation
(3)
language model
(3)
reinforcement learning
(3)
neural network
(3)
image translation
(3)
sentiment analysis
(3)
knowledge distillation
(3)
value network
(2)
image-to-image translation
(2)
generative adversarial network
(2)
molecular property prediction
(2)
text generation
(2)
text summarization
(2)
attention mechanism
(2)
Papers
SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
ACL 2026
O-GNN: incorporating ring priors into molecular modeling
ICLR 2023
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations
EMNLP 2023
De Novo Molecular Generation via Connection-aware Motif Mining
ICLR 2023
FABind: Fast and Accurate Protein-Ligand Binding
NeurIPS 2023
MolXPT: Wrapping Molecules with Text for Generative Pre-training
ACL 2023
Retrosynthesis Prediction with Local Template Retrieval
AAAI 2023
Retrosynthetic Planning with Dual Value Networks
ICML 2023
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
ACL 2023
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
AAAI 2022
Target-Side Input Augmentation for Sequence to Sequence Generation
ICLR 2022
IOT: Instance-wise Layer Reordering for Transformer Structures
ICLR 2021
Learning to Reweight with Deep Interactions
AAAI 2021
mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation
ACL 2021
Stylized Dialogue Generation with Multi-Pass Dual Learning
NeurIPS 2021
Temporally Correlated Task Scheduling for Sequence Learning
ICML 2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
NAACL 2021
Dual Learning: Theoretical Study and an Algorithmic Extension
ACML 2020
Incorporating BERT into Neural Machine Translation
ICLR 2020
Sequence Generation with Mixed Representations
ICML 2020
Transductive Ensemble Learning for Neural Machine Translation
AAAI 2020
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images
ECCV 2020
Deliberation Learning for Image-to-Image Translation
IJCAI 2019
Depth Growing for Neural Machine Translation
ACL 2019
Exploiting Monolingual Data at Scale for Neural Machine Translation
EMNLP 2019
Image-to-Image Translation with Multi-Path Consistency Regularization
IJCAI 2019
Microsoft Research Asiaβs Systems for WMT19
ACL 2019
Multi-Agent Dual Learning
ICLR 2019
Multilingual Neural Machine Translation with Language Clustering
EMNLP 2019
Neural Machine Translation with Soft Prototype
NeurIPS 2019
Soft Contextual Data Augmentation for Neural Machine Translation
ACL 2019
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder
AAAI 2019
Adversarial Neural Machine Translation
ACML 2018
Conditional Image-to-Image Translation
CVPR 2018
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces
IJCAI 2018
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation
NeurIPS 2018
Learning to Teach with Dynamic Loss Functions
NeurIPS 2018
Model-Level Dual Learning
ICML 2018
Decoding with Value Networks for Neural Machine Translation
NeurIPS 2017
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding
NeurIPS 2017
Dual Inference for Machine Learning
IJCAI 2017
Dual Supervised Learning
ICML 2017
Budgeted Multi-Armed Bandits with Multiple Plays
IJCAI 2016
Dual Learning for Machine Translation
NeurIPS 2016
Budgeted Bandit Problems with Continuous Random Costs
ACML 2015
Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem
IJCAI 2015
Thompson Sampling for Budgeted Multi-Armed Bandits
IJCAI 2015