Lingkai Kong

According to our database, Lingkai Kong authored at least 51 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MUBen: Benchmarking the Uncertainty of Molecular Representation Models.

Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang

Trans. Mach. Learn. Res., 2024

What is the Right Notion of Distance between Predict-then-Optimize Tasks?

Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe

CoRR, 2024

DeepTTV: Deep Learning Prediction of Hidden Exoplanet From Transit Timing Variations.

Chen Chen, Lingkai Kong, Gongjie Li, Molei Tao

CoRR, 2024

Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards.

Shresth Verma, Niclas Boehmer, Lingkai Kong, Milind Tambe

CoRR, 2024

Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting.

Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

CoRR, 2024

Efficient Evolutionary Search Over Chemical Space with Large Language Models.

Haorui Wang, Marta Skreta, Cher-Tian Ser, Wenhao Gao, Lingkai Kong, Felix Streith-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alán Aspuru-Guzik, Kirill Neklyudov, Chao Zhang

CoRR, 2024

Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis.

Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash

CoRR, 2024

Aligning Large Language Models with Representation Editing: A Control Perspective.

Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang

CoRR, 2024

Quantitative Convergences of Lie Group Momentum Optimizers.

Lingkai Kong, Molei Tao

CoRR, 2024

Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups.

Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos A. Theodorou, Molei Tao

CoRR, 2024

Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints.

Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortol, Haorui Wang, Dongxia Wu, Aaron Ferber, Yi-An Ma, Carla P. Gomes, Chao Zhang

CoRR, 2024

TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance.

Haorui Wang, Rongzhi Zhang, Yinghao Li, Lingkai Kong, Yuchen Zhuang, Xiusi Chen, Chao Zhang

CoRR, 2024

Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning.

Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Convergence of Kinetic Langevin Monte Carlo on Lie groups.

Lingkai Kong, Molei Tao

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process.

Lingkai Kong, Haotian Sun, Yuchen Zhuang, Haorui Wang, Wenhao Mu, Chao Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Characteristics and driving factors of the technology cooperation network evolution: a case study of solid waste treatment field in China.

Yonghong Ma, Xiaomeng Yang, Sen Qu, Lingkai Kong

Technol. Anal. Strateg. Manag., May, 2023

DF2: Distribution-Free Decision-Focused Learning.

Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang

CoRR, 2023

MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction.

Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang

CoRR, 2023

AdaPlanner: Adaptive Planning from Feedback with Language Models.

Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling.

Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Uncertainty Quantification in Deep Learning.

Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, B. Aditya Prakash, Chao Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting.

Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Autoregressive Diffusion Model for Graph Generation.

Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang

Proceedings of the International Conference on Machine Learning, 2023

Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport.

Lingkai Kong, Yuqing Wang, Molei Tao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Tracing the Evolution of 3-D Printing Technology in China Using LDA-Based Patent Abstract Mining.

Wei Chen, Chaoran Lin, Chuanyun Li, Lingkai Kong, Zaoli Yang

IEEE Trans. Engineering Management, 2022

Research on the formation mechanism of big data technology cooperation networks: empirical evidence from China.

Yonghong Ma, Xiaomeng Yang, Sen Qu, Lingkai Kong

Scientometrics, 2022

PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series.

Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

CoRR, 2022

CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting.

Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

End-to-end Stochastic Optimization with Energy-based Model.

Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models.

Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification.

Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang

CoRR, 2021

Innovation Cooperation Network Evolution About Green Building Technology With Government Intervention: Based on Evolutionary Game Theory.

Yonghong Ma, Lingkai Kong, Xiaomeng Yang, Chaoran Lin

IEEE Access, 2021

When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting.

Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function.

Lingkai Kong, Molei Tao

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates.

Lingkai Kong, Jimeng Sun, Chao Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data.

Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2018

Learning Deep Hidden Nonlinear Dynamics from Aggregate Data.

Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Wide-range Dimmable Clipped Flip-OFDM For Indoor Visible Light Communications.

Liang Wu, Lingkai Kong, Zaichen Zhang, Jian Dang, Huaping Liu

Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

2016

A Novel OFDM Scheme for VLC Systems Under LED Nonlinear Constraints.

Lingkai Kong, Congcong Cao, Siyuan Zhang, Mengchao Li, Liang Wu, Zaichen Zhang, Jian Dang

Proceedings of the Communications and Networking, 2016

2014

A frequency-reconfigurable multi-standard 65nm CMOS digital transmitter with LTCC interposers.

Nai-Chung Kuo, Bonjern Yang, Chaoying Wu, Lingkai Kong, Angie Wang, Michael Reiha, Elad Alon, Ali M. Niknejad, Borivoje Nikolic

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2014

2013

Design Considerations for a Direct Digitally Modulated WLAN Transmitter With Integrated Phase Path and Dynamic Impedance Modulation.

Lu Ye, Jiashu Chen, Lingkai Kong, Elad Alon, Ali M. Niknejad

IEEE J. Solid State Circuits, 2013

A digitally modulated 2.4GHz WLAN transmitter with integrated phase path and dynamic load modulation in 65nm CMOS.

Lu Ye, Jiashu Chen, Lingkai Kong, Philippe Cathelin, Elad Alon, Ali M. Niknejad

Proceedings of the 2013 IEEE International Solid-State Circuits Conference, 2013

A 50mW-TX 65mW-RX 60GHz 4-element phased-array transceiver with integrated antennas in 65nm CMOS.

Lingkai Kong, Dongjin Seo, Elad Alon

Proceedings of the 2013 IEEE International Solid-State Circuits Conference, 2013

BAG: a designer-oriented integrated framework for the development of AMS circuit generators.

John Crossley, Alberto Puggelli, Hanh-Phuc Le, B. Yang, R. Nancollas, Kwangmo Jung, Lingkai Kong, Nathan Narevsky, Yue Lu, Nicholas Sutardja, E. J. An, Alberto L. Sangiovanni-Vincentelli, Elad Alon

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2013

2012

A 10 Gb/s 45 mW Adaptive 60 GHz Baseband in 65 nm CMOS.

Chintan Thakkar, Lingkai Kong, Kwangmo Jung, Antoine Frappé, Elad Alon

IEEE J. Solid State Circuits, 2012

A 21.5mW 10+Gb/s mm-Wave phased-array transmitter in 65nm CMOS.

Lingkai Kong, Elad Alon

Proceedings of the Symposium on VLSI Circuits, 2012

2011

A 65 nm CMOS 4-Element Sub-34 mW/Element 60 GHz Phased-Array Transceiver.

Maryam Tabesh, Jiashu Chen, Cristian Marcu, Lingkai Kong, Shinwon Kang, Ali M. Niknejad, Elad Alon

IEEE J. Solid State Circuits, 2011

A 65nm CMOS 4-element Sub-34mW/element 60GHz phased-array transceiver.

Maryam Tabesh, Jiashu Chen, Cristian Marcu, Lingkai Kong, Shinwon Kang, Elad Alon, Ali M. Niknejad

Proceedings of the IEEE International Solid-State Circuits Conference, 2011

A multi-GHz area-efficient comparator with dynamic offset cancellation.

Lingkai Kong, Yue Lu, Elad Alon

Proceedings of the 2011 IEEE Custom Integrated Circuits Conference, 2011

2009

A 90 nm CMOS Low-Power 60 GHz Transceiver With Integrated Baseband Circuitry.

Cristian Marcu, Debopriyo Chowdhury, Chintan Thakkar, Jung-Dong Park, Lingkai Kong, Maryam Tabesh, Yanjie Wang, Bagher Afshar, Abhinav Gupta, Amin Arbabian, Simone Gambini, Reza Zamani, Elad Alon, Ali M. Niknejad

IEEE J. Solid State Circuits, 2009

A 90nm CMOS low-power 60GHz transceiver with integrated baseband circuitry.

Cristian Marcu, Debopriyo Chowdhury, Chintan Thakkar, Lingkai Kong, Maryam Tabesh, Jung-Dong Park, Yanjie Wang, Bagher Afshar, Abhinav Gupta, Amin Arbabian, Simone Gambini, Reza Zamani, Ali M. Niknejad, Elad Alon

Proceedings of the IEEE International Solid-State Circuits Conference, 2009