default search action
Lingkai Kong
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2024
- [j9]Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang:
MUBen: Benchmarking the Uncertainty of Molecular Representation Models. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j8]Yonghong Ma, Xiaomeng Yang, Sen Qu, Lingkai Kong:
Characteristics and driving factors of the technology cooperation network evolution: a case study of solid waste treatment field in China. Technol. Anal. Strateg. Manag. 35(5): 508-522 (2023) - 2022
- [j7]Yonghong Ma, Xiaomeng Yang
, Sen Qu, Lingkai Kong:
Research on the formation mechanism of big data technology cooperation networks: empirical evidence from China. Scientometrics 127(3): 1273-1294 (2022) - [j6]Wei Chen, Chaoran Lin
Tracing the Evolution of 3-D Printing Technology in China Using LDA-Based Patent Abstract Mining. IEEE Trans. Engineering Management 69(4): 1135-1145 (2022) - 2021
- [j5]Yonghong Ma, Lingkai Kong
Innovation Cooperation Network Evolution About Green Building Technology With Government Intervention: Based on Evolutionary Game Theory. IEEE Access 9: 142289-142301 (2021) - 2013
- [j4]Lu Ye, Jiashu Chen, Lingkai Kong, Elad Alon, Ali M. Niknejad:
Design Considerations for a Direct Digitally Modulated WLAN Transmitter With Integrated Phase Path and Dynamic Impedance Modulation. IEEE J. Solid State Circuits 48(12): 3160-3177 (2013) - 2012
- [j3]Chintan Thakkar, Lingkai Kong, Kwangmo Jung, Antoine Frappé
A 10 Gb/s 45 mW Adaptive 60 GHz Baseband in 65 nm CMOS. IEEE J. Solid State Circuits 47(4): 952-968 (2012) - 2011
- [j2]Maryam Tabesh, Jiashu Chen, Cristian Marcu, Lingkai Kong, Shinwon Kang, Ali M. Niknejad, Elad Alon:
A 65 nm CMOS 4-Element Sub-34 mW/Element 60 GHz Phased-Array Transceiver. IEEE J. Solid State Circuits 46(12): 3018-3032 (2011) - 2009
- [j1]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:
A 90 nm CMOS Low-Power 60 GHz Transceiver With Integrated Baseband Circuitry. IEEE J. Solid State Circuits 44(12): 3434-3447 (2009)
Conference and Workshop Papers
- 2024
- [c27]Lingkai Kong, Haotian Sun, Yuchen Zhuang, Haorui Wang, Wenhao Mu, Chao Zhang:
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process. AISTATS 2024: 4582-4590 - [c26]Lingkai Kong, Molei Tao:
Convergence of Kinetic Langevin Monte Carlo on Lie groups. COLT 2024: 3011-3063 - [c25]Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash:
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. ICML 2024 - 2023
- [c24]Lingkai Kong, Yuqing Wang, Molei Tao:
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport. ICLR 2023 - [c23]Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang:
Autoregressive Diffusion Model for Graph Generation. ICML 2023: 17391-17408 - [c22]Harshavardhan Kamarthi
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting. KDD 2023: 1057-1072 - [c21]Yuchen Zhuang
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. KDD 2023: 3674-3686 - [c20]Lingkai Kong
Uncertainty Quantification in Deep Learning. KDD 2023: 5809-5810 - [c19]Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang:
AdaPlanner: Adaptive Planning from Feedback with Language Models. NeurIPS 2023 - 2022
- [c18]Yue Yu
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. NAACL-HLT 2022: 1422-1436 - [c17]Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang:
End-to-end Stochastic Optimization with Energy-based Model. NeurIPS 2022 - [c16]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. WWW 2022: 3174-3185 - 2021
- [c15]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. NeurIPS 2021: 19796-19807 - 2020
- [c14]Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. EMNLP (1) 2020: 1326-1340 - [c13]Lingkai Kong, Jimeng Sun, Chao Zhang:
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. ICML 2020: 5405-5415 - [c12]Lingkai Kong, Molei Tao:
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function. NeurIPS 2020 - 2018
- [c11]Liang Wu, Lingkai Kong, Zaichen Zhang, Jian Dang, Huaping Liu:
Wide-range Dimmable Clipped Flip-OFDM For Indoor Visible Light Communications. ICCC 2018: 121-125 - [c10]Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha:
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. UAI 2018: 83-92 - 2016
- [c9]Lingkai Kong, Congcong Cao, Siyuan Zhang, Mengchao Li, Liang Wu, Zaichen Zhang, Jian Dang:
A Novel OFDM Scheme for VLC Systems Under LED Nonlinear Constraints. ChinaCom (1) 2016: 393-402 - 2014
- [c8]Nai-Chung Kuo, Bonjern Yang, Chaoying Wu, Lingkai Kong, Angie Wang, Michael Reiha, Elad Alon, Ali M. Niknejad, Borivoje Nikolic
A frequency-reconfigurable multi-standard 65nm CMOS digital transmitter with LTCC interposers. A-SSCC 2014: 345-348 - 2013
- [c7]John Crossley, Alberto Puggelli, Hanh-Phuc Le
BAG: a designer-oriented integrated framework for the development of AMS circuit generators. ICCAD 2013: 74-81 - [c6]Lingkai Kong, Dongjin Seo, Elad Alon:
A 50mW-TX 65mW-RX 60GHz 4-element phased-array transceiver with integrated antennas in 65nm CMOS. ISSCC 2013: 234-235 - [c5]Lu Ye, Jiashu Chen, Lingkai Kong, Philippe Cathelin, Elad Alon, Ali M. Niknejad:
A digitally modulated 2.4GHz WLAN transmitter with integrated phase path and dynamic load modulation in 65nm CMOS. ISSCC 2013: 330-331 - 2012
- [c4]Lingkai Kong, Elad Alon:
A 21.5mW 10+Gb/s mm-Wave phased-array transmitter in 65nm CMOS. VLSIC 2012: 52-53 - 2011
- [c3]Lingkai Kong, Yue Lu, Elad Alon:
A multi-GHz area-efficient comparator with dynamic offset cancellation. CICC 2011: 1-4 - [c2]Maryam Tabesh, Jiashu Chen, Cristian Marcu, Lingkai Kong, Shinwon Kang, Elad Alon, Ali M. Niknejad:
A 65nm CMOS 4-element Sub-34mW/element 60GHz phased-array transceiver. ISSCC 2011: 166-168 - 2009
- [c1]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:
A 90nm CMOS low-power 60GHz transceiver with integrated baseband circuitry. ISSCC 2009: 314-315
Informal and Other Publications
- 2024
- [i28]Haorui Wang, Rongzhi Zhang, Yinghao Li, Lingkai Kong, Yuchen Zhuang, Xiusi Chen, Chao Zhang:
TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance. CoRR abs/2401.13849 (2024) - [i27]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:
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. CoRR abs/2402.18012 (2024) - [i26]Lingkai Kong, Molei Tao:
Convergence of Kinetic Langevin Monte Carlo on Lie groups. CoRR abs/2403.12012 (2024) - [i25]Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos A. Theodorou, Molei Tao:
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups. CoRR abs/2405.16381 (2024) - [i24]Lingkai Kong, Molei Tao:
Quantitative Convergences of Lie Group Momentum Optimizers. CoRR abs/2405.20390 (2024) - [i23]Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang:
Aligning Large Language Models with Representation Editing: A Control Perspective. CoRR abs/2406.05954 (2024) - [i22]Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen
Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. CoRR abs/2406.08627 (2024) - [i21]Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash:
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. CoRR abs/2406.09130 (2024) - [i20]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:
Efficient Evolutionary Search Over Chemical Space with Large Language Models. CoRR abs/2406.16976 (2024) - [i19]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting. CoRR abs/2407.02641 (2024) - [i18]Shresth Verma, Niclas Boehmer, Lingkai Kong, Milind Tambe:
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards. CoRR abs/2408.12112 (2024) - [i17]Chen Chen, Lingkai Kong, Gongjie Li, Molei Tao:
DeepTTV: Deep Learning Prediction of Hidden Exoplanet From Transit Timing Variations. CoRR abs/2409.04557 (2024) - [i16]Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe:
What is the Right Notion of Distance between Predict-then-Optimize Tasks? CoRR abs/2409.06997 (2024) - 2023
- [i15]Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang:
AdaPlanner: Adaptive Planning from Feedback with Language Models. CoRR abs/2305.16653 (2023) - [i14]Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang:
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. CoRR abs/2305.19395 (2023) - [i13]Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang:
MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction. CoRR abs/2306.10060 (2023) - [i12]Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang:
Autoregressive Diffusion Model for Graph Generation. CoRR abs/2307.08849 (2023) - [i11]Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang:
DF2: Distribution-Free Decision-Focused Learning. CoRR abs/2308.05889 (2023) - 2022
- [i10]Lingkai Kong, Yuqing Wang, Molei Tao:
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport. CoRR abs/2205.14173 (2022) - [i9]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series. CoRR abs/2206.07940 (2022) - [i8]Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang:
End-to-End Stochastic Optimization with Energy-Based Model. CoRR abs/2211.13837 (2022) - 2021
- [i7]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. CoRR abs/2106.03904 (2021) - [i6]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. CoRR abs/2109.07438 (2021) - [i5]Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang:
ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. CoRR abs/2112.08787 (2021) - 2020
- [i4]Lingkai Kong, Molei Tao:
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function. CoRR abs/2002.06189 (2020) - [i3]Lingkai Kong, Jimeng Sun, Chao Zhang:
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. CoRR abs/2008.10546 (2020) - [i2]Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang:
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. CoRR abs/2010.11506 (2020) - 2018
- [i1]Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha:
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. CoRR abs/1807.08237 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-22 20:11 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: