Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention. - Honglun Zhang; Wenqing Chen; Jidong Tian; Yongkun Wang; Yaohui Jin (CoRR, 2018)

Fusion of Global and Local Gaussian-Hermite Moments for Face Recognition. - Guojie Song; Dan He; Puchun Chen; Jidong Tian; Bin Zhou; Li Luo (IGTA, 2019)

TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics. - Shihui Yang; Jidong Tian; Honglun Zhang; Junchi Yan; Hao He 007; Yaohui Jin (IJCAI, 2019)

RAG: Facial Attribute Editing by Learning Residual Attributes. - Honglun Zhang; Wenqing Chen; Jidong Tian; Hao He 007; Yaohui Jin (IEEE Access, 2019)

A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation. - Wenqing Chen; Jidong Tian; Liqiang Xiao; Hao He 007; Yaohui Jin (COLING, 2020)

Exploring Logically Dependent Multi-task Learning with Causal Inference. - Wenqing Chen; Jidong Tian; Liqiang Xiao; Hao He 007; Yaohui Jin (EMNLP (1), 2020)

De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation. - Wenqing Chen; Jidong Tian; Yitian Li; Hao He 007; Yaohui Jin (ACL/IJCNLP (1), 2021)

Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI. - Jidong Tian; Yitian Li; Wenqing Chen; Liqiang Xiao; Hao He 007; Yaohui Jin (EMNLP (1), 2021)

Dependent Multi-Task Learning with Causal Intervention for Image Captioning. - Wenqing Chen; Jidong Tian; Caoyun Fan; Hao He 007; Yaohui Jin (IJCAI, 2021)

Weakly Supervised Neural Symbolic Learning for Cognitive Tasks. - Jidong Tian; Yitian Li; Wenqing Chen; Liqiang Xiao; Hao He 007; Yaohui Jin (AAAI, 2022)

MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-task Learning. - Caoyun Fan; Wenqing Chen; Jidong Tian; Yitian Li; Hao He 007; Yaohui Jin (ACCV (1), 2022)

To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning. - Yitian Li; Jidong Tian; Wenqing Chen; Caoyun Fan; Hao He 007; Yaohui Jin (COLING, 2022)

CALM: Commen-Sense Knowledge Augmentation for Document Image Understanding. - Qinyi Du; Qingqing Wang; Keqian Li; Jidong Tian; Liqiang Xiao; Yaohui Jin (ACM Multimedia, 2022)

Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation. - Wenqing Chen; Jidong Tian; Caoyun Fan; Yitian Li; Hao He 007; Yaohui Jin (AAAI, 2023)

Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry. - Jidong Tian; Wenqing Chen; Yitian Li; Caoyun Fan; Hao He 007; Yaohui Jin (AAAI, 2023)

MTR: A Dataset Fusing Inductive, Deductive, and Defeasible Reasoning. - Yitian Li; Jidong Tian; Caoyun Fan; Wenqing Chen; Hao He 007; Yaohui Jin (ACL (Findings), 2023)

LDSeq: Latent Diffusion Models for Sequence to Sequence Text Generation. - Yizhou Ding; Jidong Tian; Shanxing Mei; Yifan Zhou; Yuwu Dong; Hao He 007; Weisheng Hu (CSAI, 2023)

Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task. - Chunhui Du; Jidong Tian; Haoran Liao; Jindou Chen; Hao He 007; Yaohui Jin (EMNLP, 2023)

Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding. - Caoyun Fan; Jidong Tian; Yitian Li; Wenqing Chen; Hao He 007; Yaohui Jin (EMNLP, 2023)

Improving the out-of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough. - Caoyun Fan; Wenqing Chen; Jidong Tian; Yitian Li; Hao He 007; Yaohui Jin (ICASSP, 2023)

Accurate use of label dependency in multi-label text classification through the lens of causality. - Caoyun Fan; Wenqing Chen; Jidong Tian; Yitian Li; Hao He 007; Yaohui Jin (Appl. Intell., 2023)

Comparable Demonstrations Are Important In In-Context Learning: A Novel Perspective On Demonstration Selection. - Caoyun Fan; Jidong Tian; Yitian Li; Hao He 007; Yaohui Jin (ICASSP, 2024)

Free-view Rendering of Dynamic Human from Monocular Video Via Modeling Temporal Information Globally and Locally among Adjacent Frames. - Cheng Shang; Jidong Tian; Jiannan Ye; Xubo Yang (ICME, 2024)

Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models. - Haoran Liao; Jidong Tian; Shaohua Hu; Hao He 007; Yaohui Jin (CoRR, 2024)

Logical Negation Augmenting and Debiasing for Prompt-based Methods. - Yitian Li; Jidong Tian; Hao He 007; Yaohui Jin (CoRR, 2024)

Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models. - Yitian Li; Jidong Tian; Hao He 007; Yaohui Jin (CoRR, 2024)

Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization. - Caoyun Fan; Wenqing Chen; Jidong Tian; Yitian Li; Hao He 007; Yaohui Jin (Expert Syst. Appl., 2024)

ChemActor: Enhancing Automated Extraction of Chemical Synthesis Actions with LLM-Generated Data. - Yu Zhang; Ruijie Yu; Jidong Tian; Feng Zhu 006; Jiapeng Liu; Xiaokang Yang 001; Yaohui Jin; Yanyan Xu 002 (ACL (1), 2025)

Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models. - Haoran Liao; Jidong Tian; Shaohua Hu; Zhihao Zhu; Hao He 007; Yaohui Jin (ICASSP, 2025)

KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics. - Jindou Chen; Jidong Tian; Liang Wu; ChenXinWei; Xiaokang Yang 001; Yaohui Jin; Yanyan Xu 002 (ICLR, 2025)