Lingjing Kong

27 papers A* 9Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A multiobjective edge-based learning algorithm for the vehicle routing problem with time windows.
Inf. Sci.
Ying Zhou, Lingjing Kong, Hui Wang
2025 J jnl
Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality.
CoRR
Lingjing Kong, Shaoan Xie, Guangyi Chen, Yuewen Sun, Xiangchen Song, Eric P. Xing, Kun Zhang
2025 A* conf
Causal Representation Learning from Multimodal Biomedical Observations.
ICLR
Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang
2025 A* conf
Learning Vision and Language Concepts for Controllable Image Generation.
ICML
Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang
2025 J jnl
Learning by Analogy: A Causal Framework for Composition Generalization.
CoRR
Lingjing Kong, Shaoan Xie, Yang Jiao, Yetian Chen, Yanhui Guo, Simone Shao, Yan Gao, Guangyi Chen, Kun Zhang
2025 J jnl
Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs.
CoRR
Xiangchen Song, Aashiq Muhamed, Yujia Zheng, Lingjing Kong, Zeyu Tang, Mona T. Diab, Virginia Smith, Kun Zhang
2025 J jnl
Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens.
CoRR
Yunlong Deng, Boyang Sun, Yan Li, Lingjing Kong, Zeyu Tang, Kun Zhang, Guangyi Chen
2025 J jnl
SmartCLIP: Modular Vision-language Alignment with Identification Guarantees.
CoRR
Shaoan Xie, Lingjing Kong, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang
2025 J jnl
Step-Aware Policy Optimization for Reasoning in Diffusion Large Language Models.
CoRR
Shaoan Xie, Lingjing Kong, Xiangchen Song, Xinshuai Dong, Guangyi Chen, Eric P. Xing, Kun Zhang
2025 J jnl
Towards Self-Refinement of Vision-Language Models with Triangular Consistency.
CoRR
Yunlong Deng, Guangyi Chen, Tianpei Gu, Lingjing Kong, Yan Li, Zeyu Tang, Kun Zhang
2025 J jnl
Towards Understanding Extrapolation: a Causal Lens.
CoRR
Lingjing Kong, Guangyi Chen, Petar Stojanov, Haoxuan Li, Eric P. Xing, Kun Zhang
2024 J jnl
Adjusting Pretrained Backbones for Performativity.
CoRR
Berker Demirel, Lingjing Kong, Kun Zhang, Theofanis Karaletsos, Celestine Mendler-Dünner, Francesco Locatello
2024 J jnl
Causal Representation Learning from Multimodal Biological Observations.
CoRR
Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang
2024 J jnl
Counterfactual Generation with Identifiability Guarantees.
CoRR
Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang
2024 A* conf
Learning Discrete Concepts in Latent Hierarchical Models.
NeurIPS
Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang
2024 J jnl
Learning Discrete Concepts in Latent Hierarchical Models.
CoRR
Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang
2024 A* conf
Towards Understanding Extrapolation: a Causal Lens.
NeurIPS
Lingjing Kong, Guangyi Chen, Petar Stojanov, Haoxuan Li, Eric P. Xing, Kun Zhang
2023 A* conf
Counterfactual Generation with Identifiability Guarantees.
NeurIPS
Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang
2023 A* conf
Identification of Nonlinear Latent Hierarchical Models.
NeurIPS
Lingjing Kong, Biwei Huang, Feng Xie, Eric P. Xing, Yuejie Chi, Kun Zhang
2023 J jnl
Identification of Nonlinear Latent Hierarchical Models.
CoRR
Lingjing Kong, Biwei Huang, Feng Xie, Eric P. Xing, Yuejie Chi, Kun Zhang
2023 A* conf
Multi-domain image generation and translation with identifiability guarantees.
ICLR
Shaoan Xie, Lingjing Kong, Mingming Gong, Kun Zhang
2023 J jnl
Partial Identifiability for Domain Adaptation.
CoRR
Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
2023 A* conf
Understanding Masked Autoencoders via Hierarchical Latent Variable Models.
CVPR
Lingjing Kong, Martin Q. Ma, Guangyi Chen, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang
2023 J jnl
Understanding Masked Autoencoders via Hierarchical Latent Variable Models.
CoRR
Lingjing Kong, Martin Q. Ma, Guangyi Chen, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang
2022 A* conf
Partial disentanglement for domain adaptation.
ICML
Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
2015 J jnl
Achieving inter-domain routing security based on distributed translator trust model.
Comput. Sci. Inf. Syst.
Lingjing Kong, Hong Shen
2014 — conf
A Distributed Multi-hub Translator Trust Model for Interdomain Routing in Large Networks.
PAAP
Lingjing Kong, Hong Shen