Le Cong

According to our database, Le Cong authored at least 18 papers between 2022 and 2026.

Collaborative distances:

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

2026

EvoClaw: Evaluating AI Agents on Continuous Software Evolution.

Gangda Deng, Zhaoling Chen, Zhongming Yu, Haoyang Fan, Yuhong Liu, Yuxin Yang, Dhruv Parikh, Rajgopal Kannan, Le Cong, Mengdi Wang, Qian Zhang, Viktor K. Prasanna, Xiangru Tang, Xingyao Wang

CoRR, March, 2026

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning.

Xinwu Ye, Yicheng Mao, Jia Zhang, Yimeng Liu, Li Hao, Fang Wu, Zhiwei Li, Yuxuan Liao, Zehong Wang, Zhiyuan Liu, Zhenfei Yin, Li Yuan, Philip Torr, Huan Sun, Xiangxiang Zeng, Mengdi Wang, Le Cong, Shenghua Gao, Xiangru Tang

CoRR, February, 2026

Molecular Representations in Implicit Functional Space via Hyper-Networks.

Zehong Wang, Xiaolong Han, Qi Yang, Xiangru Tang, Fang Wu, Xiaoguang Guo, Weixiang Sun, Tianyi Ma, Pietro Lio, Le Cong, Sheng Wang, Chuxu Zhang, Yanfang Ye

CoRR, January, 2026

2025

Evaluating Large Language Models in Scientific Discovery.

Zhangde Song, Jieyu Lu, Yuanqi Du, Botao Yu, Thomas M. Pruyn, Yue Huang, Kehan Guo, Xiuzhe Luo, Yuanhao Qu, Yi Qu, Yinkai Wang, Haorui Wang, Jeff Guo, Jingru Gan, Parshin Shojaee, Di Luo, Andres M. Bran, Gen Li, Qiyuan Zhao, Shao-Xiong Lennon Luo, Yuxuan Zhang, Xiang Zou, Wanru Zhao, Yifan F. Zhang, Wucheng Zhang, Shunan Zheng, Saiyang Zhang, Sartaaj Takrim Khan, Mahyar Rajabi Kochi, Samantha Paradi-Maropakis, Tony Baltoiu, Fengyu Xie, Tianyang Chen, Kexin Huang, Weiliang Luo, Meijing Fang, Xin Yang, Lixue Cheng, Jiajun He, Soha Hassoun, Xiangliang Zhang, Wei Wang, Chandan K. Reddy, Chao Zhang, Zhiling Zheng, Mengdi Wang, Le Cong, Carla P. Gomes, Chang-Yu Hsieh, Aditya Nandy, Philippe Schwaller, Heather J. Kulik, Haojun Jia, Huan Sun, Seyed Mohamad Moosavi, Chenru Duan

CoRR, December, 2025

Generative AI for Biosciences: Emerging Threats and Roadmap to Biosecurity.

Zaixi Zhang, Souradip Chakraborty, Amrit Singh Bedi, Emilin Mathew, Varsha Saravanan, Le Cong, Alvaro Velasquez, Sheng Lin-Gibson, Megan Blewett, Dan Hendrycs, Alex John London, Ellen Zhong, Ben Raphael, Jian Ma, Eric Xing, Russ Altman, George Church, Mengdi Wang

CoRR, October, 2025

LabOS: The AI-XR Co-Scientist That Sees and Works With Humans.

Le Cong, Zaixi Zhang, Xiaotong Wang, Yin Di, Ruofan Jin, Michal Gerasimiuk, Yinkai Wang, Ravi K. Dinesh, David Smerkous, Alex Smerkous, Xuekun Wu, Shilong Liu, Peishan Li, Yi Zhu, Simran Serrao, Ning Zhao, Imran A. Mohammad, John B. Sunwoo, Joseph C. Wu, Mengdi Wang

CoRR, October, 2025

SafeProtein: Red-Teaming Framework and Benchmark for Protein Foundation Models.

Jigang Fan, Zhenghong Zhou, Ruofan Jin, Le Cong, Mengdi Wang, Zaixi Zhang

CoRR, September, 2025

STELLA: Self-Evolving LLM Agent for Biomedical Research.

Ruofan Jin, Zaixi Zhang, Mengdi Wang, Le Cong

CoRR, July, 2025

GeneBreaker: Jailbreak Attacks against DNA Language Models with Pathogenicity Guidance.

Zaixi Zhang, Zhenghong Zhou, Ruofan Jin, Le Cong, Mengdi Wang

CoRR, May, 2025

Genome-Bench: A Scientific Reasoning Benchmark from Real-World Expert Discussions.

Ming Yin, Yuanhao Qu, Dyllan Liu, Ling Yang, Le Cong, Mengdi Wang

CoRR, May, 2025

2024

Author Correction: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions.

Yanyi Chu, Dan Yu, Yupeng Li, Kaixuan Huang, Yue Shen, Le Cong, Jason Zhang, Mengdi Wang

Nat. Mac. Intell., 2024

A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions.

Yanyi Chu, Dan Yu, Yupeng Li, Kaixuan Huang, Yue Shen, Le Cong, Jason Zhang, Mengdi Wang

Nat. Mac. Intell., 2024

FoldMark: Protecting Protein Generative Models with Watermarking.

Zaixi Zhang, Ruofan Jin, Kaidi Fu, Le Cong, Marinka Zitnik, Mengdi Wang

CoRR, 2024

Latent Diffusion Models for Controllable RNA Sequence Generation.

Kaixuan Huang, Yukang Yang, Kaidi Fu, Yanyi Chu, Le Cong, Mengdi Wang

CoRR, 2024

CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments.

Kaixuan Huang, Yuanhao Qu, Henry Cousins, William A. Johnson, Di Yin, Mihir Shah, Denny Zhou, Russ B. Altman, Mengdi Wang, Le Cong

CoRR, 2024

2023

Gene set proximity analysis: expanding gene set enrichment analysis through learned geometric embeddings, with drug-repurposing applications in COVID-19.

Henry Cousins, Taryn Hall, Yinglong Guo, Luke Tso, Kathy T. H. Tzeng, Le Cong, Russ B. Altman

Bioinform., January, 2023

2022

Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization.

Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang

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

Neural Bandits for Protein Sequence Optimization.

Chenyu Wang, Joseph C. Kim, Le Cong, Mengdi Wang

Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022