Jidong Tian

40 papers A* 9A 1B 3Misc 3Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Consistent 3D Human Reconstruction From Monocular Video: Learning Correctable Appearance and Temporal Motion Priors.
IEEE Trans. Vis. Comput. Graph.
Cheng Shang, Liang An, Tingting Li, Jiajun Zhang, Yuxiang Zhang, Jidong Tian, Yebin Liu, Xubo Yang
2025 — conf
ChemActor: Enhancing Automated Extraction of Chemical Synthesis Actions with LLM-Generated Data.
ACL (1)
Yu Zhang, Ruijie Yu, Jidong Tian, Feng Zhu, Jiapeng Liu, Xiaokang Yang, Yaohui Jin, Yanyan Xu
2025 J jnl
ChemActor: Enhancing Automated Extraction of Chemical Synthesis Actions with LLM-Generated Data.
CoRR
Yu Zhang, Ruijie Yu, Jidong Tian, Feng Zhu, Jiapeng Liu, Xiaokang Yang, Yaohui Jin, Yanyan Xu
2025 A* conf
KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics.
ICLR
Jindou Chen, Jidong Tian, Liang Wu, ChenXinWei, Xiaokang Yang, Yaohui Jin, Yanyan Xu
2025 Misc conf
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models.
ICASSP
Haoran Liao, Jidong Tian, Shaohua Hu, Zhihao Zhu, Hao He, Yaohui Jin
2024 Misc conf
Comparable Demonstrations Are Important In In-Context Learning: A Novel Perspective On Demonstration Selection.
ICASSP
Caoyun Fan, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
2024 A conf
Free-view Rendering of Dynamic Human from Monocular Video Via Modeling Temporal Information Globally and Locally among Adjacent Frames.
ICME
Cheng Shang, Jidong Tian, Jiannan Ye, Xubo Yang
2024 J jnl
Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models.
CoRR
Yitian Li, Jidong Tian, Hao He, Yaohui Jin
2024 J jnl
Logical Negation Augmenting and Debiasing for Prompt-based Methods.
CoRR
Yitian Li, Jidong Tian, Hao He, Yaohui Jin
2024 J jnl
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models.
CoRR
Haoran Liao, Jidong Tian, Shaohua Hu, Hao He, Yaohui Jin
2024 B conf
Self-Hint Prompting Improves Zero-shot Reasoning in Large Language Models via Reflective Cycle.
CogSci
Jindou Chen, Jidong Tian, Yaohui Jin
2024 J jnl
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization.
Expert Syst. Appl.
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
2023 J jnl
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality.
CoRR
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
2023 J jnl
Accurate use of label dependency in multi-label text classification through the lens of causality.
Appl. Intell.
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
2023 A* conf
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding.
EMNLP
Caoyun Fan, Jidong Tian, Yitian Li, Wenqing Chen, Hao He, Yaohui Jin
2023 J jnl
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding.
CoRR
Caoyun Fan, Jidong Tian, Yitian Li, Wenqing Chen, Hao He, Yaohui Jin
2023 J jnl
Comparable Demonstrations are Important in In-Context Learning: A Novel Perspective on Demonstration Selection.
CoRR
Caoyun Fan, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
2023 J jnl
Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough.
CoRR
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
2023 Misc conf
Improving the out-of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough.
ICASSP
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
2023 — conf
LDSeq: Latent Diffusion Models for Sequence to Sequence Text Generation.
CSAI
Yizhou Ding, Jidong Tian, Shanxing Mei, Yifan Zhou, Yuwu Dong, Hao He, Weisheng Hu
2023 A* conf
Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry.
AAAI
Jidong Tian, Wenqing Chen, Yitian Li, Caoyun Fan, Hao He, Yaohui Jin
2023 — conf
MTR: A Dataset Fusing Inductive, Deductive, and Defeasible Reasoning.
ACL (Findings)
Yitian Li, Jidong Tian, Caoyun Fan, Wenqing Chen, Hao He, Yaohui Jin
2023 J jnl
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning.
CoRR
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
2023 A* conf
Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation.
AAAI
Wenqing Chen, Jidong Tian, Caoyun Fan, Yitian Li, Hao He, Yaohui Jin
2023 A* conf
Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task.
EMNLP
Chunhui Du, Jidong Tian, Haoran Liao, Jindou Chen, Hao He, Yaohui Jin
2023 J jnl
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization.
CoRR
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
2022 A* conf
CALM: Commen-Sense Knowledge Augmentation for Document Image Understanding.
ACM Multimedia
Qinyi Du, Qingqing Wang, Keqian Li, Jidong Tian, Liqiang Xiao, Yaohui Jin
2022 — conf
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-task Learning.
ACCV (1)
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
2022 B conf
To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning.
COLING
Yitian Li, Jidong Tian, Wenqing Chen, Caoyun Fan, Hao He, Yaohui Jin
2022 A* conf
Weakly Supervised Neural Symbolic Learning for Cognitive Tasks.
AAAI
Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin
2021 — conf
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation.
ACL/IJCNLP (1)
Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
2021 A* conf
Dependent Multi-Task Learning with Causal Intervention for Image Captioning.
IJCAI
Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin
2021 J jnl
Dependent Multi-Task Learning with Causal Intervention for Image Captioning.
CoRR
Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin
2021 — conf
Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI.
EMNLP (1)
Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin
2020 B conf
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation.
COLING
Wenqing Chen, Jidong Tian, Liqiang Xiao, Hao He, Yaohui Jin
2020 — conf
Exploring Logically Dependent Multi-task Learning with Causal Inference.
EMNLP (1)
Wenqing Chen, Jidong Tian, Liqiang Xiao, Hao He, Yaohui Jin
2019 — conf
Fusion of Global and Local Gaussian-Hermite Moments for Face Recognition.
IGTA
Guojie Song, Dan He, Puchun Chen, Jidong Tian, Bin Zhou, Li Luo
2019 J jnl
RAG: Facial Attribute Editing by Learning Residual Attributes.
IEEE Access
Honglun Zhang, Wenqing Chen, Jidong Tian, Hao He, Yaohui Jin
2019 A* conf
TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics.
IJCAI
Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin
2018 J jnl
Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention.
CoRR
Honglun Zhang, Wenqing Chen, Jidong Tian, Yongkun Wang, Yaohui Jin