Lingkai Kong - RankMe

100 papers A* 22A 7C 1Journal 59Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Generative AI Against Poaching: Latent Composite Flow Matching for Poaching Prediction. AAAI Lingkai Kong, Haichuan Wang, Charles A. Emogor, Vincent Börsch-Supan, Lily Xu, Milind Tambe
2026	J	`jnl`	Generative AI for Social Impact. CoRR Lingkai Kong, Cheol Woo Kim, Davin Choo, Milind Tambe
2026	J	`jnl`	Generative Artificial Intelligence for Social Impact. IEEE Intell. Syst. Lingkai Kong, Cheol Woo Kim, Davin Choo, Milind Tambe
2026	J	`jnl`	Latent Spherical Flow Policy for Reinforcement Learning with Combinatorial Actions. CoRR Lingkai Kong, Anagha Satish, Hezi Jiang, Akseli Kangaslahti, Andrew Ma, Wenbo Chen, Mingxiao Song, Lily Xu, Milind Tambe
2026	J	`jnl`	MSIF-SSTR: A "Quick smuggler" smuggling speedboat trajectory recognition method based on multi-source information fusion. Expert Syst. Appl. Zhuhua Hu, Yifeng Sun, Yaochi Zhao, Wei Wu, Lingkai Kong, Keli Chen
2026	J	`jnl`	Policy-Embedded Graph Expansion: Networked HIV Testing with Diffusion-Driven Network Samples. CoRR Akseli Kangaslahti, Davin Choo, Lingkai Kong, Milind Tambe, Alastair van Heerden, Cheryl Johnson
2026	J	`jnl`	Reward Shaping for Inference-Time Alignment: A Stackelberg Game Perspective. CoRR Haichuan Wang, Tao Lin, Lingkai Kong, Ce Li, Hezi Jiang, Milind Tambe
2025	J	`jnl`	A Fault Diagnosis Method for Manufacturing System Based on Adaptive BRB Considering Environmental Disturbance. Int. J. Fuzzy Syst. Boying Zhao, Lingkai Kong, Wei He, Guohui Zhou, Hailong Zhu
2025	J	`jnl`	A medical assistant decision-making method based on interval belief rule base with explainability. Intell. Data Anal. Lingkai Kong, Boying Zhao, Hongyu Li, Wei He, You Cao, Guohui Zhou
2025	J	`jnl`	AlignFlow: Improving Flow-based Generative Models with Semi-Discrete Optimal Transport. CoRR Lingkai Kong, Molei Tao, Yang Liu, Bryan Wang, Jinmiao Fu, Chien-Chih Wang, Huidong Liu
2025	J	`jnl`	Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data. CoRR Lingkai Kong, Haichuan Wang, Tonghan Wang, Guojun Xiong, Milind Tambe
2025	A	`conf`	DF UAI Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang
2025	A	`conf`	Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. AISTATS Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortoli, Dongxia Wu, Haorui Wang, Aaron M. Ferber, Yian Ma, Carla P. Gomes, Chao Zhang
2025	J	`jnl`	Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization. CoRR Zihao Zhao, Christopher Yeh, Lingkai Kong, Kai Wang
2025	A*	`conf`	Efficient Evolutionary Search Over Chemical Space with Large Language Models. ICLR Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alán Aspuru-Guzik, Kirill Neklyudov, Chao Zhang
2025	J	`jnl`	Generative AI Against Poaching: Latent Composite Flow Matching for Wildlife Conservation. CoRR Lingkai Kong, Haichuan Wang, Charles A. Emogor, Vincent Börsch-Supan, Lily Xu, Milind Tambe
2025	J	`jnl`	Guided Transfer Learning for Discrete Diffusion Models. CoRR Julian Kleutgens, Claudio Battiloro, Lingkai Kong, Benjamin Grewe, Francesca Dominici, Mauricio Tec
2025	A*	`conf`	LLM-Augmented Chemical Synthesis and Design Decision Programs. ICML Haorui Wang, Jeff Guo, Lingkai Kong, Rampi Ramprasad, Philippe Schwaller, Yuanqi Du, Chao Zhang
2025	J	`jnl`	LLM-Augmented Chemical Synthesis and Design Decision Programs. CoRR Haorui Wang, Jeff Guo, Lingkai Kong, Rampi Ramprasad, Philippe Schwaller, Yuanqi Du, Chao Zhang
2025	J	`jnl`	LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation. CoRR Sarah Martinson, Lingkai Kong, Cheol Woo Kim, Aparna Taneja, Milind Tambe
2025	J	`jnl`	Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving. CoRR Songyang Gao, Yuzhe Gu, Zijian Wu, Lingkai Kong, Wenwei Zhang, Zhongrui Cai, Fan Zheng, Tianyou Ma, Junhao Shen, Haiteng Zhao, Duanyang Zhang, Huilun Zhang, Kuikun Liu, Chengqi Lyu, Yanhui Duan, Chiyu Chen, Ningsheng Ma, Jianfei Gao, Han Lyu, Dahua Lin, Kai Chen
2025	A*	`conf`	Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning. ICML Cheol Woo Kim, Jai Moondra, Shresth Verma, Madeleine Pollack, Lingkai Kong, Milind Tambe, Swati Gupta
2025	J	`jnl`	Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning. CoRR Cheol Woo Kim, Jai Moondra, Shresth Verma, Madeleine Pollack, Lingkai Kong, Milind Tambe, Swati Gupta
2025	J	`jnl`	OPV: Outcome-based Process Verifier for Efficient Long Chain-of-Thought Verification. CoRR Zijian Wu, Lingkai Kong, Wenwei Zhang, Songyang Gao, Yuzhe Gu, Zhongrui Cai, Tianyou Ma, Yuhong Liu, Zhi Wang, Runyuan Ma, Guangyu Wang, Wei Li, Conghui He, Dahua Lin, Kai Chen
2025	A*	`conf`	PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning. AAAI Shresth Verma, Alayna Nguyen, Niclas Boehmer, Lingkai Kong, Milind Tambe
2025	J	`jnl`	Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing. CoRR Rongzhi Zhang, Liqin Ye, Yuzhao Heng, Xiang Chen, Tong Yu, Lingkai Kong, Sudheer Chava, Chao Zhang
2025	A	`conf`	Robust Optimization with Diffusion Models for Green Security. UAI Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, Mingxiao Song, Alayna Nguyen, Tonghan Wang, Haifeng Xu, Milind Tambe
2025	J	`jnl`	Robust Optimization with Diffusion Models for Green Security. CoRR Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, Mingxiao Song, Alayna Nguyen, Tonghan Wang, Haifeng Xu, Milind Tambe
2025	J	`jnl`	The Impact of Cooperation Network Evolution on Communication Technology Innovation: A Network Interaction Perspective. Syst. Xiaomeng Yang, Sen Qu, Lingkai Kong
2025	A*	`conf`	Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups. ICLR Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos A. Theodorou, Molei Tao
2025	J	`jnl`	Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process. CoRR Lingkai Kong, Haotian Sun, Yuchen Zhuang, Haorui Wang, Wenhao Mu, Chao Zhang
2025	A	`conf`	What is the Right Notion of Distance between Predict-then-Optimize Tasks? UAI Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe
2024	A*	`conf`	Aligning Large Language Models with Representation Editing: A Control Perspective. NeurIPS Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang
2024	J	`jnl`	Aligning Large Language Models with Representation Editing: A Control Perspective. CoRR Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang
2024	—	`conf`	Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards. GameSec (1) Shresth Verma, Niclas Boehmer, Lingkai Kong, Milind Tambe
2024	J	`jnl`	Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards. CoRR Shresth Verma, Niclas Boehmer, Lingkai Kong, Milind Tambe
2024	A*	`conf`	Convergence of Kinetic Langevin Monte Carlo on Lie groups. COLT Lingkai Kong, Molei Tao
2024	J	`jnl`	Convergence of Kinetic Langevin Monte Carlo on Lie groups. CoRR Lingkai Kong, Molei Tao
2024	J	`jnl`	DeepTTV: Deep Learning Prediction of Hidden Exoplanet From Transit Timing Variations. CoRR Chen Chen, Lingkai Kong, Gongjie Li, Molei Tao
2024	J	`jnl`	Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. CoRR Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortoli, Haorui Wang, Dongxia Wu, Aaron M. Ferber, Yi-An Ma, Carla P. Gomes, Chao Zhang
2024	J	`jnl`	Efficient Evolutionary Search Over Chemical Space with Large Language Models. CoRR 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
2024	J	`jnl`	Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting. CoRR Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2024	J	`jnl`	MUBen: Benchmarking the Uncertainty of Molecular Representation Models. Trans. Mach. Learn. Res. Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang
2024	A*	`conf`	Quantitative Convergences of Lie Group Momentum Optimizers. NeurIPS Lingkai Kong, Molei Tao
2024	J	`jnl`	Quantitative Convergences of Lie Group Momentum Optimizers. CoRR Lingkai Kong, Molei Tao
2024	J	`jnl`	TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance. CoRR Haorui Wang, Rongzhi Zhang, Yinghao Li, Lingkai Kong, Yuchen Zhuang, Xiusi Chen, Chao Zhang
2024	J	`jnl`	Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. CoRR Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash
2024	A*	`conf`	Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis. NeurIPS Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash
2024	A*	`conf`	Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. ICML Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash
2024	J	`jnl`	Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. CoRR Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash
2024	J	`jnl`	Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups. CoRR Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos A. Theodorou, Molei Tao
2024	A	`conf`	Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process. AISTATS Lingkai Kong, Haotian Sun, Yuchen Zhuang, Haorui Wang, Wenhao Mu, Chao Zhang
2024	J	`jnl`	What is the Right Notion of Distance between Predict-then-Optimize Tasks? CoRR Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe
2023	A*	`conf`	AdaPlanner: Adaptive Planning from Feedback with Language Models. NeurIPS Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang
2023	J	`jnl`	AdaPlanner: Adaptive Planning from Feedback with Language Models. CoRR Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang
2023	A*	`conf`	Autoregressive Diffusion Model for Graph Generation. ICML Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang
2023	J	`jnl`	Autoregressive Diffusion Model for Graph Generation. CoRR Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang
2023	J	`jnl`	Characteristics and driving factors of the technology cooperation network evolution: a case study of solid waste treatment field in China. Technol. Anal. Strateg. Manag. Yonghong Ma, Xiaomeng Yang, Sen Qu, Lingkai Kong
2023	J	`jnl`	DF2: Distribution-Free Decision-Focused Learning. CoRR Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang
2023	A*	`conf`	DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. KDD Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang
2023	J	`jnl`	DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. CoRR Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang
2023	J	`jnl`	MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction. CoRR Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang
2023	A*	`conf`	Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport. ICLR Lingkai Kong, Yuqing Wang, Molei Tao
2023	A*	`conf`	Uncertainty Quantification in Deep Learning. KDD Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, B. Aditya Prakash, Chao Zhang
2023	A*	`conf`	When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting. KDD Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2022	—	`conf`	AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. NAACL-HLT Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang
2022	A*	`conf`	CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. WWW Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2022	J	`jnl`	End-to-End Stochastic Optimization with Energy-Based Model. CoRR Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang
2022	A*	`conf`	End-to-end Stochastic Optimization with Energy-based Model. NeurIPS Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang
2022	J	`jnl`	Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport. CoRR Lingkai Kong, Yuqing Wang, Molei Tao
2022	J	`jnl`	PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series. CoRR Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2022	J	`jnl`	Research on the formation mechanism of big data technology cooperation networks: empirical evidence from China. Scientometrics Yonghong Ma, Xiaomeng Yang, Sen Qu, Lingkai Kong
2022	J	`jnl`	Tracing the Evolution of 3-D Printing Technology in China Using LDA-Based Patent Abstract Mining. IEEE Trans. Engineering Management Wei Chen, Chaoran Lin, Chuanyun Li, Lingkai Kong, Zaoli Yang
2021	J	`jnl`	ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. CoRR Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang
2021	J	`jnl`	CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. CoRR Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2021	J	`jnl`	Innovation Cooperation Network Evolution About Green Building Technology With Government Intervention: Based on Evolutionary Game Theory. IEEE Access Yonghong Ma, Lingkai Kong, Xiaomeng Yang, Chaoran Lin
2021	A*	`conf`	When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. NeurIPS Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2021	J	`jnl`	When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. CoRR Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2020	—	`conf`	Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. EMNLP (1) Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang
2020	J	`jnl`	Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. CoRR Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang
2020	A*	`conf`	SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. ICML Lingkai Kong, Jimeng Sun, Chao Zhang
2020	J	`jnl`	SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. CoRR Lingkai Kong, Jimeng Sun, Chao Zhang
2020	A*	`conf`	Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function. NeurIPS Lingkai Kong, Molei Tao
2020	J	`jnl`	Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function. CoRR Lingkai Kong, Molei Tao
2018	A	`conf`	Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. UAI Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha
2018	J	`jnl`	Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. CoRR Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha
2018	C	`conf`	Wide-range Dimmable Clipped Flip-OFDM For Indoor Visible Light Communications. ICCC Liang Wu, Lingkai Kong, Zaichen Zhang, Jian Dang, Huaping Liu
2016	—	`conf`	A Novel OFDM Scheme for VLC Systems Under LED Nonlinear Constraints. ChinaCom (1) Lingkai Kong, Congcong Cao, Siyuan Zhang, Mengchao Li, Liang Wu, Zaichen Zhang, Jian Dang
2014	—	`conf`	A frequency-reconfigurable multi-standard 65nm CMOS digital transmitter with LTCC interposers. A-SSCC Nai-Chung Kuo, Bonjern Yang, Chaoying Wu, Lingkai Kong, Angie Wang, Michael Reiha, Elad Alon, Ali M. Niknejad, Borivoje Nikolic
2013	—	`conf`	A 50mW-TX 65mW-RX 60GHz 4-element phased-array transceiver with integrated antennas in 65nm CMOS. ISSCC Lingkai Kong, Dongjin Seo, Elad Alon
2013	—	`conf`	A digitally modulated 2.4GHz WLAN transmitter with integrated phase path and dynamic load modulation in 65nm CMOS. ISSCC Lu Ye, Jiashu Chen, Lingkai Kong, Philippe Cathelin, Elad Alon, Ali Niknejad
2013	A	`conf`	BAG: a designer-oriented integrated framework for the development of AMS circuit generators. ICCAD 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
2013	J	`jnl`	Design Considerations for a Direct Digitally Modulated WLAN Transmitter With Integrated Phase Path and Dynamic Impedance Modulation. IEEE J. Solid State Circuits Lu Ye, Jiashu Chen, Lingkai Kong, Elad Alon, Ali M. Niknejad
2012	J	`jnl`	A 10 Gb/s 45 mW Adaptive 60 GHz Baseband in 65 nm CMOS. IEEE J. Solid State Circuits Chintan Thakkar, Lingkai Kong, Kwangmo Jung, Antoine Frappé, Elad Alon
2012	—	`conf`	A 21.5mW 10+Gb/s mm-Wave phased-array transmitter in 65nm CMOS. VLSIC Lingkai Kong, Elad Alon
2011	J	`jnl`	A 65 nm CMOS 4-Element Sub-34 mW/Element 60 GHz Phased-Array Transceiver. IEEE J. Solid State Circuits Maryam Tabesh, Jiashu Chen, Cristian Marcu, Lingkai Kong, Shinwon Kang, Ali M. Niknejad, Elad Alon
2011	—	`conf`	A 65nm CMOS 4-element Sub-34mW/element 60GHz phased-array transceiver. ISSCC Maryam Tabesh, Jiashu Chen, Cristian Marcu, Lingkai Kong, Shinwon Kang, Elad Alon, Ali Niknejad
2011	—	`conf`	A multi-GHz area-efficient comparator with dynamic offset cancellation. CICC Lingkai Kong, Yue Lu, Elad Alon
2009	J	`jnl`	A 90 nm CMOS Low-Power 60 GHz Transceiver With Integrated Baseband Circuitry. IEEE J. Solid State Circuits 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
2009	—	`conf`	A 90nm CMOS low-power 60GHz transceiver with integrated baseband circuitry. ISSCC 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