Lingjing Kong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
8
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders. | Xiangchen Song, Aashiq Muhamed, Yujia Zheng, Lingjing Kong, Zeyu Tang, Mona T. Diab, Virginia Smith, Kun Zhang |
| 2026 | ACL | Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards. | Shaoan Xie, Lingjing Kong, Xiangchen Song, Xinshuai Dong, Guangyi Chen, Eric P. Xing, Kun Zhang |
| 2025 | ICLR | Causal Representation Learning from Multimodal Biomedical Observations. | 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 | ICML | Learning Vision and Language Concepts for Controllable Image Generation. | Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang |
| 2023 | CVPR | Understanding Masked Autoencoders via Hierarchical Latent Variable Models. | Lingjing Kong, Martin Q. Ma, Guangyi Chen, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang |
| 2023 | ICLR | Multi-domain image generation and translation with identifiability guarantees. | Shaoan Xie, Lingjing Kong, Mingming Gong, Kun Zhang |
| 2022 | ICML | Partial disentanglement for domain adaptation. | Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang |
| 2021 | EMNLP | Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems. | Fei Mi, Wanhao Zhou, Lingjing Kong, Fengyu Cai, Minlie Huang, Boi Faltings |
| 2021 | ICML | Consensus Control for Decentralized Deep Learning. | Lingjing Kong, Tao Lin, Anastasia Koloskova, Martin Jaggi, Sebastian U. Stich |
| 2020 | CVPR | Generalized Class Incremental Learning. | Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings |
| 2020 | ICML | Extrapolation for Large-batch Training in Deep Learning. | Tao Lin, Lingjing Kong, Sebastian U. Stich, Martin Jaggi |
| 2018 | GLOBECOM | Power Consumption Evaluation in High Speed Visible Light Communication Systems. | Lingjing Kong, Cheng Chen, Yunlu Wang, Harald Haas |
| 2017 | ISPA | A Service Scheduling Policy for Improving Playback Quality of Mesh-Based P2P VoD Systems. | Guowei Huang, Lingjing Kong, Keke Wu, Zhi Chen |
| 2017 | PDCAT | Identification of Abnormal Network Traffic Using Support Vector Machine. | Lingjing Kong, Guowei Huang, Keke Wu |