| Sde-net: Equipping deep neural networks with uncertainty estimates L Kong, J Sun, C Zhang ICML 2020, 2020 | 121 | 2020 |
| Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data L Kong, H Jiang, Y Zhuang, J Lyu, T Zhao, C Zhang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 76 | 2020 |
| Adaplanner: Adaptive planning from feedback with language models. H Sun, Y Zhuang, L Kong, B Dai, C Zhang Advances in Neural Information Processing Systems, 2024, 2023 | 60* | 2023 |
| Actune: Uncertainty-based active self-training for active fine-tuning of pretrained language models Y Yu, L Kong, J Zhang, R Zhang, C Zhang Proceedings of the 2022 conference of the North American chapter of the …, 2022 | 44* | 2022 |
| Autoregressive Diffusion Model for Graph Generation L Kong, J Cui, H Sun, Y Zhuang, BA Prakash, C Zhang ICML 2023, 2023 | 34* | 2023 |
| When in doubt: Neural non-parametric uncertainty quantification for epidemic forecasting H Kamarthi, L Kong, A Rodriguez, C Zhang, BA Prakash Advances in Neural Information Processing Systems 34, 19796-19807, 2021 | 23* | 2021 |
| CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting H Kamarthi, L Kong, A Rodríguez, C Zhang, BA Prakash Proceedings of the ACM Web Conference 2022, 3174-3185, 2022 | 16* | 2022 |
| End-to-end stochastic optimization with energy-based model L Kong, J Cui, Y Zhuang, R Feng, BA Prakash, C Zhang Advances in Neural Information Processing Systems 35, 11341-11354, 2022 | 14 | 2022 |
| When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting H Kamarthi, L Kong, A Rodríguez, C Zhang, BA Prakash Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 10* | 2023 |
| Learning deep hidden nonlinear dynamics from aggregate data Y Wang, B Dai, L Kong, SM Erfani, J Bailey, H Zha UAI 2018, 2018 | 10 | 2018 |
| Dy-Gen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling Y Zhuang, Y Yu, CZ Lingkai Kong, Xiang Chen KDD 2023, 2023 | 6* | 2023 |
| Data efficient estimation for quality of transmission through active learning in fiber-wireless integrated network S Yao, CW Hsu, L Kong, Q Zhou, S Shen, R Zhang, SJ Su, Y Alfadhli, ... Journal of Lightwave Technology 39 (18), 5691-5698, 2021 | 6 | 2021 |
| MUBen: benchmarking the uncertainty of pre-trained models for molecular property prediction Y Li, L Kong, Y Du, Y Yu, Y Zhuang, W Mu, C Zhang TMLR, 2023 | 5* | 2023 |
| Uncertainty quantification in deep learning L Kong, H Kamarthi, P Chen, BA Prakash, C Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
| Diffusion models as constrained samplers for optimization with unknown constraints L Kong, Y Du, W Mu, K Neklyudov, V De Bortol, H Wang, D Wu, A Ferber, ... arXiv preprint arXiv:2402.18012, 2024 | 2 | 2024 |
| Aligning Large Language Models with Representation Editing: A Control Perspective L Kong, H Wang, W Mu, Y Du, Y Zhuang, Y Zhou, Y Song, R Zhang, ... arXiv preprint arXiv:2406.05954, 2024 | 1 | 2024 |
| DF2: Distribution-Free Decision-Focused Learning L Kong, W Mu, J Cui, Y Zhuang, BA Prakash, B Dai, C Zhang arXiv preprint arXiv:2308.05889, 2023 | 1 | 2023 |
| A novel OFDM scheme for VLC systems under LED nonlinear constraints L Kong, C Cao, S Zhang, M Li, L Wu, Z Zhang, J Dang Communications and Networking: 11th EAI International Conference, ChinaCom …, 2018 | 1 | 2018 |
| What is the Right Notion of Distance between Predict-then-Optimize Tasks? P Rodriguez-Diaz, L Kong, K Wang, D Alvarez-Melis, M Tambe arXiv preprint arXiv:2409.06997, 2024 | | 2024 |
| Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards S Verma, N Boehmer, L Kong, M Tambe arXiv preprint arXiv:2408.12112, 2024 | | 2024 |
Chao ZhangAssistant Professor at College of Computing, Georgia TechVerified email at gatech.edu