← Authors

Lijun Wu

60 papers · 2017–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (8) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🀝 Dynamic Duo (36) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (21) πŸ”¬ Deep Specialist (15) πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (237) ⚑ Prolific Year (6) ❓ The Questioner πŸ’Ž Century Club (60) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (9)

Conferences

ACL (14) EMNLP (12) ICLR (9) NIPS (7) AAAI (6) IJCNLP (3) NAACL (3) ICML (2) IJCAI (2) ACML (1) EACL (1)

Top co-authors

Tao Qin (36) Tie-yan Liu (26) Yingce Xia (24) Jinhua Zhu (15) Shufang Xie (14) Qizhi Pei (11) Conghui He (9) Jianhuang Lai (9) Rui Yan (8) Fei Tian (7)

Keywords

neural machine translation (20) language model (8) large language model (7) knowledge distillation (6) sequence generation (5) drug discovery (4) neural network (4) mathematical reasoning (4) text summarization (4) data augmentation (4) reinforcement learning (3) back translation (3) non-autoregressive generation (3) machine translation (3) monolingual datum (3) synthetic datum (2) molecular generation (2) low-resource language (2) sequence learning (2) inference efficiency (2)

Papers

MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion ACL 2025
Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration ACL 2025
A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis ACL 2025
CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenge ACL 2025
OpenHuEval: Evaluating Large Language Model on Hungarian Specifics ACL 2025
LEMMA: Learning from Errors for MatheMatical Advancement in LLMs ACL 2025
Fast and Accurate Blind Flexible Docking ICLR 2025
AgentMixer: Multi-Agent Correlated Policy Factorization AAAI 2025
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning EMNLP 2025
Unleashing the Reasoning Potential of LLMs by Critique Fine-Tuning on One Problem EMNLP 2025
Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection ICLR 2025
GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation NAACL 2025
3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling ICLR 2025
MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer EMNLP 2025
Explainable Graph Neural Networks via Structural Externalities IJCAI 2025
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models NIPS 2024
CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information EACL 2024
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning ACL 2024
Enhanced BioT5+ for Molecule-Text Translation: A Three-Stage Approach with Data Distillation, Diverse Training, and Voting Ensemble ACL 2024
Retrieved Sequence Augmentation for Protein Representation Learning EMNLP 2024
Backpropagation Through Agents AAAI 2024
$\mathcal{O}$-GNN: incorporating ring priors into molecular modeling ICLR 2023
FABind: Fast and Accurate Protein-Ligand Binding NIPS 2023
Retrosynthesis Prediction with Local Template Retrieval AAAI 2023
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model AAAI 2023
Dynamic and Efficient Inference for Text Generation via BERT Family ACL 2023
MolXPT: Wrapping Molecules with Text for Generative Pre-training ACL 2023
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations EMNLP 2023
Making Better Decision by Directly Planning in Continuous Control ICLR 2023
De Novo Molecular Generation via Connection-aware Motif Mining ICLR 2023
Target-Side Input Augmentation for Sequence to Sequence Generation ICLR 2022
Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change EMNLP 2022
JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation EMNLP 2022
R-Drop: Regularized Dropout for Neural Networks NIPS 2021
Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering NIPS 2021
mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation ACL 2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost NAACL 2021
Learning to Reweight with Deep Interactions AAAI 2021
IOT: Instance-wise Layer Reordering for Transformer Structures ICLR 2021
mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation IJCNLP 2021
Temporally Correlated Task Scheduling for Sequence Learning ICML 2021
How to leverage the multimodal EHR data for better medical prediction? EMNLP 2021
Incorporating BERT into Neural Machine Translation ICLR 2020
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection NIPS 2020
Transductive Ensemble Learning for Neural Machine Translation AAAI 2020
Sequence Generation with Mixed Representations ICML 2020
Machine Translation With Weakly Paired Documents EMNLP 2019
Machine Translation With Weakly Paired Documents IJCNLP 2019
Microsoft Research Asia’s Systems for WMT19 ACL 2019
Exploiting Monolingual Data at Scale for Neural Machine Translation EMNLP 2019
Exploiting Monolingual Data at Scale for Neural Machine Translation IJCNLP 2019
Soft Contextual Data Augmentation for Neural Machine Translation ACL 2019
Depth Growing for Neural Machine Translation ACL 2019
A Study of Reinforcement Learning for Neural Machine Translation EMNLP 2018
Efficient Sequence Learning with Group Recurrent Networks NAACL 2018
Learning to Teach with Dynamic Loss Functions NIPS 2018
Adversarial Neural Machine Translation ACML 2018
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter EMNLP 2018
Sequence Prediction with Unlabeled Data by Reward Function Learning IJCAI 2017
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding NIPS 2017