Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium. - Yingce Xia; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (AAAI, 2014)

Budgeted Bandit Problems with Continuous Random Costs. - Yingce Xia; Wenkui Ding; Xu-Dong Zhang 001; Nenghai Yu; Tao Qin 001 (ACML, 2015)

Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem. - Long Tran-Thanh; Yingce Xia; Tao Qin 001; Nicholas R. Jennings (IJCAI, 2015)

Thompson Sampling for Budgeted Multi-Armed Bandits. - Yingce Xia; Haifang Li 002; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (IJCAI, 2015)

Best Action Selection in a Stochastic Environment. - Yingce Xia; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (AAMAS, 2016)

Budgeted Multi-Armed Bandits with Multiple Plays. - Yingce Xia; Tao Qin 001; Weidong Ma; Nenghai Yu; Tie-Yan Liu (IJCAI, 2016)

Dual Learning for Machine Translation. - Di He 001; Yingce Xia; Tao Qin 001; Liwei Wang 001; Nenghai Yu; Tie-Yan Liu; Wei-Ying Ma (NIPS, 2016)

Infinitely Many-Armed Bandits with Budget Constraints. - Haifang Li 002; Yingce Xia (AAAI, 2017)

Dual Supervised Learning. - Yingce Xia; Tao Qin 001; Wei Chen 034; Jiang Bian 002; Nenghai Yu; Tie-Yan Liu (ICML, 2017)

Dual Inference for Machine Learning. - Yingce Xia; Jiang Bian 002; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (IJCAI, 2017)

Decoding with Value Networks for Neural Machine Translation. - Di He 001; Hanqing Lu; Yingce Xia; Tao Qin 001; Liwei Wang 001; Tie-Yan Liu (NIPS, 2017)

Deliberation Networks: Sequence Generation Beyond One-Pass Decoding. - Yingce Xia; Fei Tian; Lijun Wu 003; Jianxin Lin; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (NIPS, 2017)

Sequence Generation with Target Attention. - Yingce Xia; Fei Tian; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (ECML/PKDD (1), 2017)

Finite budget analysis of multi-armed bandit problems. - Yingce Xia; Tao Qin 001; Wenkui Ding; Haifang Li 002; Xudong Zhang 001; Nenghai Yu; Tie-Yan Liu (Neurocomputing, 2017)

Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization. - Yijun Wang 002; Yingce Xia; Li Zhao 007; Jiang Bian 002; Tao Qin 001; Guiquan Liu; Tie-Yan Liu (AAAI, 2018)

Adversarial Neural Machine Translation. - Lijun Wu 003; Yingce Xia; Fei Tian; Li Zhao 007; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (ACML, 2018)

Conditional Image-to-Image Translation. - Jianxin Lin; Yingce Xia; Tao Qin 001; Zhibo Chen 001; Tie-Yan Liu (CVPR, 2018)

Model-Level Dual Learning. - Yingce Xia; Xu Tan 003; Fei Tian; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (ICML, 2018)

Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces. - Haifang Li 002; Yingce Xia; Wensheng Zhang (IJCAI, 2018)

Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation. - Tianyu He; Xu Tan 003; Yingce Xia; Di He 001; Tao Qin 001; Zhibo Chen 001; Tie-Yan Liu (NeurIPS, 2018)

Learning to Teach with Dynamic Loss Functions. - Lijun Wu 003; Fei Tian; Yingce Xia; Yang Fan; Tao Qin 001; Jian-Huang Lai; Tie-Yan Liu (NeurIPS, 2018)

Achieving Human Parity on Automatic Chinese to English News Translation. - Hany Hassan; Anthony Aue; Chang Chen; Vishal Chowdhary; Jonathan Clark; Christian Federmann; Xuedong Huang 001; Marcin Junczys-Dowmunt; William Lewis; Mu Li 001; Shujie Liu 001; Tie-Yan Liu; et al. (CoRR, 2018)

Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder. - Yingce Xia; Tianyu He; Xu Tan 003; Fei Tian; Di He 001; Tao Qin 001 (AAAI, 2019)

Soft Contextual Data Augmentation for Neural Machine Translation. - Fei Gao 018; Jinhua Zhu 001; Lijun Wu 003; Yingce Xia; Tao Qin 001; Xueqi Cheng; Wengang Zhou 001; Tie-Yan Liu (ACL (1), 2019)

Depth Growing for Neural Machine Translation. - Lijun Wu 003; Yiren Wang; Yingce Xia; Fei Tian; Fei Gao 018; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (ACL (1), 2019)

Multilingual Neural Machine Translation with Language Clustering. - Xu Tan 003; Jiale Chen 001; Di He 001; Yingce Xia; Tao Qin 001; Tie-Yan Liu (EMNLP/IJCNLP (1), 2019)

Exploiting Monolingual Data at Scale for Neural Machine Translation. - Lijun Wu 003; Yiren Wang; Yingce Xia; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (EMNLP/IJCNLP (1), 2019)

Multi-Agent Dual Learning. - Yiren Wang; Yingce Xia; Tianyu He; Fei Tian; Tao Qin 001; ChengXiang Zhai; Tie-Yan Liu (ICLR (Poster), 2019)

Deliberation Learning for Image-to-Image Translation. - Tianyu He; Yingce Xia; Jianxin Lin; Xu Tan 003; Di He 001; Tao Qin 001; Zhibo Chen 001 (IJCAI, 2019)

Image-to-Image Translation with Multi-Path Consistency Regularization. - Jianxin Lin; Yingce Xia; Yijun Wang 002; Tao Qin 001; Zhibo Chen 001 (IJCAI, 2019)

Neural Machine Translation with Soft Prototype. - Yiren Wang; Yingce Xia; Fei Tian; Fei Gao 018; Tao Qin 001; ChengXiang Zhai; Tie-Yan Liu (NeurIPS, 2019)

Microsoft Research Asia's Systems for WMT19. - Yingce Xia; Xu Tan 003; Fei Tian; Fei Gao 018; Di He 001; Weicong Chen; Yang Fan; Linyuan Gong; Yichong Leng; Renqian Luo; Yiren Wang; Lijun Wu 003; et al. (WMT (2), 2019)

Unpaired Image-to-Image Translation with Domain Supervision. - Jianxin Lin; Sen Liu 001; Yingce Xia; Shuxin Zhao; Tao Qin 001; Zhibo Chen 001 (CoRR, 2019)

Learning to Transfer: Unsupervised Meta Domain Translation. - Jianxin Lin; Yijun Wang 002; Yingce Xia; Tianyu He; Zhibo Chen 001 (CoRR, 2019)

ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation. - Jianxin Lin; Yingce Xia; Sen Liu 001; Tao Qin 001; Zhibo Chen 001 (CoRR, 2019)

Efficient Bidirectional Neural Machine Translation. - Xu Tan 003; Yingce Xia; Lijun Wu 003; Tao Qin 001 (CoRR, 2019)

Microsoft Research Asia's Systems for WMT19. - Yingce Xia; Xu Tan 003; Fei Tian; Fei Gao 018; Weicong Chen; Yang Fan; Linyuan Gong; Yichong Leng; Renqian Luo; Yiren Wang; Lijun Wu 003; Jinhua Zhu 001; et al. (CoRR, 2019)

Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation. - Yijun Wang 002; Yingce Xia; Li Zhao 007; Jiang Bian 002; Tao Qin 001; Enhong Chen; Tie-Yan Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Transductive Ensemble Learning for Neural Machine Translation. - Yiren Wang; Lijun Wu 003; Yingce Xia; Tao Qin 001; ChengXiang Zhai; Tie-Yan Liu (AAAI, 2020)

TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images. - Jianxin Lin; Yingxue Pang; Yingce Xia; Zhibo Chen 001; Jiebo Luo 001 (ECCV (4), 2020)

Incorporating BERT into Neural Machine Translation. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Di He 001; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (ICLR, 2020)

Sequence Generation with Mixed Representations. - Lijun Wu 003; Shufang Xie 003; Yingce Xia; Yang Fan; Jian-Huang Lai; Tao Qin 001; Tie-Yan Liu (ICML, 2020)

DualLip: A System for Joint Lip Reading and Generation. - Weicong Chen; Xu Tan 003; Yingce Xia; Tao Qin 001; Yu Wang 002; Tie-Yan Liu (ACM Multimedia, 2020)

Multi-branch Attentive Transformer. - Yang Fan; Shufang Xie 003; Yingce Xia; Lijun Wu 003; Tao Qin 001; Xiang-Yang Li 001; Tie-Yan Liu (CoRR, 2020)

Learning to Teach with Deep Interactions. - Yang Fan; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Weiqing Liu; Jiang Bian 002; Tao Qin 001; Xiang-Yang Li 001; Tie-Yan Liu (CoRR, 2020)

Learn to Use Future Information in Simultaneous Translation. - Xueqing Wu 001; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Weiqing Liu; Jiang Bian 002; Tao Qin 001; Tie-Yan Liu (CoRR, 2020)

Masked Contrastive Representation Learning for Reinforcement Learning. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Jiajun Deng; Wengang Zhou 001; Tao Qin 001; Houqiang Li (CoRR, 2020)

COSEA: Convolutional Code Search with Layer-wise Attention. - Hao Wang 003; Jia Zhang 004; Yingce Xia; Jiang Bian 002; Chao Zhang 008; Tie-Yan Liu (CoRR, 2020)

Searching Better Architectures for Neural Machine Translation. - Yang Fan; Fei Tian; Yingce Xia; Tao Qin 001; Xiang-Yang Li 001; Tie-Yan Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Learning to Reweight with Deep Interactions. - Yang Fan; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Weiqing Liu; Jiang Bian 002; Tao Qin 001; Xiang-Yang Li 001 (AAAI, 2021)

IOT: Instance-wise Layer Reordering for Transformer Structures. - Jinhua Zhu 001; Lijun Wu 003; Yingce Xia; Shufang Xie 003; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (ICLR, 2021)

Temporally Correlated Task Scheduling for Sequence Learning. - Xueqing Wu 001; Lewen Wang; Yingce Xia; Weiqing Liu; Lijun Wu 003; Shufang Xie 003; Tao Qin 001; Tie-Yan Liu (ICML, 2021)

mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation. - Xueqing Wu 001; Yingce Xia; Jinhua Zhu 001; Lijun Wu 003; Shufang Xie 003; Yang Fan; Tao Qin 001 (IWSLT, 2021)

UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. - Zhen Wu 002; Lijun Wu 003; Qi Meng; Yingce Xia; Shufang Xie 003; Tao Qin 001; Xinyu Dai; Tie-Yan Liu (NAACL-HLT, 2021)

Stylized Dialogue Generation with Multi-Pass Dual Learning. - Jinpeng Li 003; Yingce Xia; Rui Yan 001; Hongda Sun 001; Dongyan Zhao 001; Tie-Yan Liu (NeurIPS, 2021)

Dual-view Molecule Pre-training. - Jinhua Zhu 001; Yingce Xia; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (CoRR, 2021)

Discovering Drug-Target Interaction Knowledge from Biomedical Literature. - Yutai Hou; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Yang Fan; Jinhua Zhu 001; Wanxiang Che; Tao Qin 001; Tie-Yan Liu (CoRR, 2021)

HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information. - Wentao Xu; Weiqing Liu; Lewen Wang; Yingce Xia; Jiang Bian 002; Jian Yin 001; Tie-Yan Liu (CoRR, 2021)

Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model. - Liang He 010; Shizhuo Zhang; Lijun Wu 003; Huanhuan Xia; Fusong Ju; He Zhang; Siyuan Liu 005; Yingce Xia; Jianwei Zhu; Pan Deng; Bin Shao; Tao Qin 001; et al. (CoRR, 2021)

SHGNN: Structure-Aware Heterogeneous Graph Neural Network. - Wentao Xu; Yingce Xia; Weiqing Liu; Jiang Bian 002; Jian Yin 001; Tie-Yan Liu (CoRR, 2021)

ZstGAN: An adversarial approach for Unsupervised Zero-Shot Image-to-image Translation. - Jianxin Lin; Yingce Xia; Sen Liu 001; Shuxin Zhao; Zhibo Chen 001 (Neurocomputing, 2021)

Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation. - Jianxin Lin; Zhibo Chen 001; Yingce Xia; Sen Liu 001; Tao Qin 001; Jiebo Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Dual Learning: Theoretical Study and an Algorithmic Extension. - Zhibing Zhao; Yingce Xia; Tao Qin 001; Lirong Xia; Tie-Yan Liu (SN Comput. Sci., 2021)

DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. - Wendi Li; Xiao Yang; Weiqing Liu; Yingce Xia; Jiang Bian 002 (AAAI, 2022)

Target-Side Input Augmentation for Sequence to Sequence Generation. - Shufang Xie 003; Ang Lv; Yingce Xia; Lijun Wu 003; Tao Qin 001; Tie-Yan Liu; Rui Yan 001 (ICLR, 2022)

RetroGraph: Retrosynthetic Planning with Graph Search. - Shufang Xie 003; Rui Yan 001; Peng Han 005; Yingce Xia; Lijun Wu 003; Chenjuan Guo; Bin Yang 002; Tao Qin 001 (KDD, 2022)

Unified 2D and 3D Pre-Training of Molecular Representations. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (KDD, 2022)

SPRoBERTa: protein embedding learning with local fragment modeling. - Lijun Wu 003; Chengcan Yin; Jinhua Zhu 001; Zhen Wu 002; Liang He 010; Yingce Xia; Shufang Xie 003; Tao Qin 001; Tie-Yan Liu (Briefings Bioinform., 2022)

Back translation for molecule generation. - Yang Fan; Yingce Xia; Jinhua Zhu 001; Lijun Wu 003; Shufang Xie 003; Tao Qin 001 (Bioinform., 2022)

Direct Molecular Conformation Generation. - Jinhua Zhu 001; Yingce Xia; Chang Liu 030; Lijun Wu 003; Shufang Xie 003; Tong Wang 014; Yusong Wang; Wengang Zhou 001; Tao Qin 001; Houqiang Li; Tie-Yan Liu (CoRR, 2022)

SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training. - Qizhi Pei; Lijun Wu 003; Jinhua Zhu 001; Yingce Xia; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Tie-Yan Liu (CoRR, 2022)

Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design. - Kehan Wu; Yingce Xia; Yang Fan; Pan Deng; Haiguang Liu; Lijun Wu 003; Shufang Xie 003; Tong Wang 014; Tao Qin 001; Tie-Yan Liu (CoRR, 2022)

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design. - Kaiyuan Gao; Lijun Wu 003; Jinhua Zhu 001; Tianbo Peng; Yingce Xia; Liang He 010; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Kun He 001; Tie-Yan Liu (CoRR, 2022)

A study of BERT for context-aware neural machine translation. - Xueqing Wu 001; Yingce Xia; Jinhua Zhu 001; Lijun Wu 003; Shufang Xie 003; Tao Qin 001 (Mach. Learn., 2022)

End-to-end entity-aware neural machine translation. - Shufang Xie 003; Yingce Xia; Lijun Wu 003; Yiqing Huang; Yang Fan; Tao Qin 001 (Mach. Learn., 2022)

Direct Molecular Conformation Generation. - Jinhua Zhu 001; Yingce Xia; Chang Liu 030; Lijun Wu 003; Shufang Xie 003; Yusong Wang; Tong Wang 014; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Haiguang Liu; Tie-Yan Liu (Trans. Mach. Learn. Res., 2022)

BioGPT: generative pre-trained transformer for biomedical text generation and mining. - Renqian Luo; Liai Sun; Yingce Xia; Tao Qin 001; Sheng Zhang 012; Hoifung Poon; Tie-Yan Liu (Briefings Bioinform., 2022)

Discovering drug-target interaction knowledge from biomedical literature. - Yutai Hou; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Yang Fan; Jinhua Zhu 001; Tao Qin 001; Tie-Yan Liu (Bioinform., 2022)

Retrosynthesis Prediction with Local Template Retrieval. - Shufang Xie 003; Rui Yan 001; Junliang Guo; Yingce Xia; Lijun Wu 003; Tao Qin 001 (AAAI, 2023)

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization. - Griffin Adams; Bichlien Nguyen; Jake Smith; Yingce Xia; Shufang Xie 003; Anna Ostropolets; Budhaditya Deb; Yuan-Jyue Chen; Tristan Naumann; Noémie Elhadad (ACL (1), 2023)

MolXPT: Wrapping Molecules with Text for Generative Pre-training. - Zequn Liu; Wei Zhang; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Tao Qin 001; Ming Zhang 004; Tie-Yan Liu (ACL (2), 2023)

Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target. - Siun Kim; Jung-Hyun Won; David Seung U. Lee; Renqian Luo; Lijun Wu 003; Yingce Xia; Tao Qin 001; Howard Lee (CHIL, 2023)

BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations. - Qizhi Pei; Wei Zhang; Jinhua Zhu 001; Kehan Wu; Kaiyuan Gao; Lijun Wu 003; Yingce Xia; Rui Yan 001 (EMNLP, 2023)

De Novo Molecular Generation via Connection-aware Motif Mining. - Zijie Geng; Shufang Xie 003; Yingce Xia; Lijun Wu 003; Tao Qin 001; Jie Wang 005; Yongdong Zhang 001; Feng Wu 001; Tie-Yan Liu (ICLR, 2023)

𝒪-GNN: incorporating ring priors into molecular modeling. - Jinhua Zhu 001; Kehan Wu; Bohan Wang; Yingce Xia; Shufang Xie 003; Qi Meng; Lijun Wu 003; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (ICLR, 2023)

Retrosynthetic Planning with Dual Value Networks. - Guoqing Liu; Di Xue; Shufang Xie 003; Yingce Xia; Austin Tripp; Krzysztof Maziarz; Marwin H. S. Segler; Tao Qin 001; Zongzhang Zhang; Tie-Yan Liu (ICML, 2023)

Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. - Kaiyuan Gao; Lijun Wu 003; Jinhua Zhu 001; Tianbo Peng; Yingce Xia; Liang He 010; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Kun He 001; Tie-Yan Liu (KDD, 2023)

Dual-view Molecular Pre-training. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Wengang Zhou 001; Tao Qin 001; Houqiang Li; Tie-Yan Liu (KDD, 2023)

FABind: Fast and Accurate Protein-Ligand Binding. - Qizhi Pei; Kaiyuan Gao; Lijun Wu 003; Jinhua Zhu 001; Yingce Xia; Shufang Xie 003; Tao Qin 001; Kun He 001; Tie-Yan Liu; Rui Yan 001 (NeurIPS, 2023)

Learning Disentangled Representation via Domain Adaptation for Dialogue Summarization. - Jinpeng Li 003; Yingce Xia; Xin Cheng 002; Dongyan Zhao 001; Rui Yan 001 (WWW, 2023)

R2-DDI: relation-aware feature refinement for drug-drug interaction prediction. - Jiacheng Lin; Lijun Wu 003; Jinhua Zhu 001; Xiaobo Liang; Yingce Xia; Shufang Xie 003; Tao Qin 001; Tie-Yan Liu (Briefings Bioinform., 2023)

Masked Contrastive Representation Learning for Reinforcement Learning. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Jiajun Deng; Wengang Zhou 001; Tao Qin 001; Tie-Yan Liu; Houqiang Li (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Breaking the barriers of data scarcity in drug-target affinity prediction. - Qizhi Pei; Lijun Wu 003; Jinhua Zhu 001; Yingce Xia; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Tie-Yan Liu; Rui Yan 001 (Briefings Bioinform., 2023)

Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors. - Qizhi Pei; Lijun Wu 003; Zhenyu He 012; Jinhua Zhu 001; Yingce Xia; Shufang Xie 003; Rui Yan 001 (CIKM, 2024)

Learning to Generate Style-Specific Adapters for Stylized Dialogue Generation. - Jinpeng Li 003; Yuhan Chen 001; Pengfei Wu 003; Yingce Xia; Shufang Xie 003; Dongyan Zhao 001; Rui Yan 001 (NLPCC (1), 2024)

NatureLM: Deciphering the Language of Nature for Scientific Discovery. - Yingce Xia; Peiran Jin; Shufang Xie 003; Liang He 010; Chuan Cao; Renqian Luo; Guoqing Liu; Yue Wang 017; Zequn Liu; Yuan-Jyue Chen; Zekun Guo; Yeqi Bai; et al. (CoRR, 2025)

HybriDNA: A Hybrid Transformer-Mamba2 Long-Range DNA Language Model. - Mingqian Ma; Guoqing Liu; Chuan Cao; Pan Deng; Tri Dao; Albert Gu; Peiran Jin; Zhao Yang 006; Yingce Xia; Renqian Luo; Pipi Hu; Zun Wang; et al. (CoRR, 2025)

UniGenX: Unified Generation of Sequence and Structure with Autoregressive Diffusion. - Gongbo Zhang; Yanting Li; Renqian Luo; Pipi Hu; Zeru Zhao; Lingbo Li; Guoqing Liu; Zun Wang; Ran Bi; Kaiyuan Gao; Liya Guo; Yu Xie; et al. (CoRR, 2025)

Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning. - Xuerui Su; Shufang Xie 003; Guoqing Liu; Yingce Xia; Renqian Luo; Peiran Jin; Zhiming Ma; Yue Wang 017; Zun Wang; Yuting Liu 002 (CoRR, 2025)