← Authors

Zaixiang Zheng

24 papers · 2017–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (8) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (25) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (13) πŸ† Grand Slam 🧬 Topic Evolution ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (65) πŸ’Ž Century Club (24) πŸ”₯ Unstoppable (7)

Conferences

ICML (5) ACL (4) EMNLP (4) ICLR (3) IJCNLP (3) NIPS (2) AAAI (1) AACL (1) IJCAI (1)

Top co-authors

Shujian Huang (13) Quanquan Gu (8) Hao Zhou (8) Jiajun Chen (8) Dongyu Xue (8) Xinyou Wang (5) Lei Li (5) Fei Ye (5) Xiangxin Zhou (4) Jingjing Xu (3)

Keywords

neural machine translation (8) non-autoregressive translation (3) information theory (2) token vocabulary (2) optimal transport (2) machine translation (2) vocabulary learning (2) parallel decoding (2) capsule network (2) representation learning (2) implicit differentiation (1) protein design (1) dynamic routing (1) conditional independence (1) embedding space (1) adversarial training (1) recurrent neural network (1) parallel corpus (1) multi-task learning (1) sequence-to-sequence learning (1)

Papers

Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling ICML 2025
DPLM-2: A Multimodal Diffusion Protein Language Model ICLR 2025
ProteinBench: A Holistic Evaluation of Protein Foundation Models ICLR 2025
An All-Atom Generative Model for Designing Protein Complexes ICML 2025
Elucidating the Design Space of Multimodal Protein Language Models ICML 2025
Diffusion Language Models Are Versatile Protein Learners ICML 2024
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization NIPS 2024
Deep Equilibrium Non-Autoregressive Sequence Learning ACL 2023
Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation IJCNLP 2023
Structure-informed Language Models Are Protein Designers ICML 2023
Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation AACL 2023
Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators EMNLP 2022
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation NIPS 2021
DirectQE: Direct Pretraining for Machine Translation Quality Estimation AAAI 2021
Vocabulary Learning via Optimal Transport for Neural Machine Translation ACL 2021
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21 EMNLP 2021
Vocabulary Learning via Optimal Transport for Neural Machine Translation IJCNLP 2021
Towards Making the Most of Context in Neural Machine Translation IJCAI 2020
RPD: A Distance Function Between Word Embeddings ACL 2020
Mirror-Generative Neural Machine Translation ICLR 2020
Dynamic Past and Future for Neural Machine Translation EMNLP 2019
Dynamic Past and Future for Neural Machine Translation IJCNLP 2019
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering ACL 2019
Neural Machine Translation with Word Predictions EMNLP 2017