Kexin Huang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 70

Top Topics

Outcome Prediction

Relational Data

Top Venues

Publications

Haiquan Zhao, Lingyu Li, Shisong Chen, Shuqi Kong, Jiaan Wang, Kexin Huang, Tianle Gu, Yixu Wang, Dandan Liang, Zhixu Li, Yan Teng, Yanghua Xiao, Yingchun Wang
ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models. CoRR (2024)
Chaohua Shi, Kexin Huang, Lu Gan, Hongqing Liu, Mingrui Zhu, Nannan Wang, Xinbo Gao
On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection. ICLR (2024)
Joshua Robinson, Rishabh Ranjan, Weihua Hu, Kexin Huang, Jiaqi Han, Alejandro Dobles, Matthias Fey, Jan Eric Lenssen, Yiwen Yuan, Zecheng Zhang, Xinwei He, Jure Leskovec
RelBench: A Benchmark for Deep Learning on Relational Databases. CoRR (2024)
Ping Chen, Wenjie Zhang, Shuibing He, Yingjie Gu, Zhuwei Peng, Kexin Huang, Xuan Zhan, Weijian Chen, Yi Zheng, Zhefeng Wang, Yanlong Yin, Gang Chen
Optimizing Large Model Training through Overlapped Activation Recomputation. CoRR (2024)
Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou
AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. CoRR (2024)
Yixu Wang, Yan Teng, Kexin Huang, Chengqi Lyu, Songyang Zhang, Wenwei Zhang, Xingjun Ma, Yu-Gang Jiang, Yu Qiao, Yingchun Wang
Fake Alignment: Are LLMs Really Aligned Well? NAACL-HLT (2024)
Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li, Limin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He, Yingchun Wang, Yixu Wang, Yongting Zhang, Yu Qiao, Yujiong Shen, Yurong Mou, Yuxi Chen, Zaibin Zhang, Zhelun Shi, Zhenfei Yin, Zhipin Wang
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities. CoRR (2024)
Kexin Huang, Xiangyang Liu, Qianyu Guo, Tianxiang Sun, Jiawei Sun, Yaru Wang, Zeyang Zhou, Yixu Wang, Yan Teng, Xipeng Qiu, Yingchun Wang, Dahua Lin
Flames: Benchmarking Value Alignment of LLMs in Chinese. NAACL-HLT (2024)
Jintai Chen, Yaojun Hu, Yue Wang, Yingzhou Lu, Xu Cao, Miao Lin, Hongxia Xu, Jian Wu, Cao Xiao, Jimeng Sun, Lucas Glass, Kexin Huang, Marinka Zitnik, Tianfan Fu
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets. CoRR (2024)
Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. CoRR (2024)
Kexin Huang, Chaohua Shi, Lu Gan, Hongqing Liu
Understanding Gaussian Noise Mismatch: A Hellinger Distance Approach. ICASSP (2024)
Kexin Huang, Yan Teng, Yang Chen, Yingchun Wang
From Pixels to Principles: A Decade of Progress and Landscape in Trustworthy Computer Vision. Sci. Eng. Ethics 30 (3) (2024)
Tianle Gu, Zeyang Zhou, Kexin Huang, Dandan Liang, Yixu Wang, Haiquan Zhao, Yuanqi Yao, Xingge Qiao, Keqing Wang, Yujiu Yang, Yan Teng, Yu Qiao, Yingchun Wang
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models. CoRR (2024)
Kexin Huang, Romain Lopez, Jan-Christian Hütter, Takamasa Kudo, Antonio Rios, Aviv Regev
Sequential Optimal Experimental Design of Perturbation Screens Guided by Multi-modal Priors. RECOMB (2024)
Kexin Huang, Ying Jin, Emmanuel J. Candès, Jure Leskovec
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. NeurIPS (2023)
Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec
Relational Deep Learning: Graph Representation Learning on Relational Databases. CoRR (2023)
Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. CoRR (2023)
Kexin Huang, Wei Liu, Yue Liu, Shanlin Xiao, Zhiyi Yu
Towards Efficient On-Chip Learning for Spiking Neural Networks Accelerator with Surrogate Gradient. ICTA (2023)
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
Scientific discovery in the age of artificial intelligence. Nat. 620 (7972) (2023)
Xiaolin Li, Li Ma, Benjiang Lu, Kexin Huang
Sincere or Falsehearted? Investigation of Online Reviews and Merchant Response. Int. J. Electron. Commer. 27 (2) (2023)
Soledad Villar, Benjamin Paul Chamberlain, Yuanqi Du, Hannes Stärk, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Yanqiao Zhu, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov, Alexandre Duval, Mathieu Alain, Dominique Beaini, Xinyu Yuan
The Second Learning on Graphs Conference: Preface. LoG (2023)
Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec
Enabling tabular deep learning when d ≫ n with an auxiliary knowledge graph. CoRR (2023)
Qianwen Wang, Kexin Huang, Payal Chandak, Marinka Zitnik, Nils Gehlenborg
Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Kexin Huang, Ying Jin, Emmanuel Candes, Jure Leskovec
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. CoRR (2023)
Yixu Wang, Yan Teng, Kexin Huang, Chengqi Lyu, Songyang Zhang, Wenwei Zhang, Xingjun Ma, Yu-Gang Jiang, Yu Qiao, Yingchun Wang
Fake Alignment: Are LLMs Really Aligned Well? CoRR (2023)
Yukun Cao, Xike Xie, Kexin Huang
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning. ICDE (2023)
Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec
High dimensional, tabular deep learning with an auxiliary knowledge graph. NeurIPS (2023)
Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. SIGIR (2023)
Kexin Huang, Hoaran Gong, Jingjing Guan, Lingxiao Zhang, Changbao Hu, Weiling Zhao, Liyu Huang, Wei Zhang, Pora Kim, Xiaobo Zhou
AgeAnno: a knowledgebase of single-cell annotation of aging in human. Nucleic Acids Res. 51 (D1) (2023)
Kexin Huang, Xiangyang Liu, Qianyu Guo, Tianxiang Sun, Jiawei Sun, Yaru Wang, Zeyang Zhou, Yixu Wang, Yan Teng, Xipeng Qiu, Yingchun Wang, Dahua Lin
Flames: Benchmarking Value Alignment of Chinese Large Language Models. CoRR (2023)
Kexin Huang, Yun Zhang, Haoran Gong, Zhengzheng Qiao, Tiangang Wang, Weiling Zhao, Liyu Huang, Xiaobo Zhou
Inferring evolutionary trajectories from cross-sectional transcriptomic data to mirror lung adenocarcinoma progression. PLoS Comput. Biol. 19 (5) (2023)
Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou
Infrastructure for Rapid Open Knowledge Network Development. AI Mag. 43 (1) (2022)
Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
HINT: Hierarchical interaction network for clinical-trial-outcome predictions. Patterns 3 (4) (2022)
Qi Huang, Li Peng, Kexin Huang, Wei Deng, Ying Liu
Generalized Additive Model Reveals Nonlinear Trade-Offs/Synergies between Relationships of Ecosystem Services for Mountainous Areas of Southwest China. Remote. Sens. 14 (12) (2022)
Kexin Huang, Vishnu Sresht, Brajesh K. Rai, Mykola Bordyuh
Uncertainty-aware pseudo-labeling for quantum calculations. UAI (2022)
Michael R. Anderson, Yuze Lou, Jiayun Zou, Michael J. Cafarella, Sarah E. Chasins, Doug Downey, Tian Gao, Kexin Huang, Dinghao Shen, Jenny M. Vo-Phamhi, Yitong Wang, Yuning Wang, Anna Zeng
Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration. CIDR (2022)
Arian R. Jamasb, Ramón Viñas Torné, Eric Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lió, Tom L. Blundell
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks. NeurIPS (2022)
Bastian Rieck, Razvan Pascanu, Yuanqi Du, Hannes Stärk, Derek Lim, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Gabriele Corso, Leonardo Cotta, Yanqiao Zhu, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov
The First Learning on Graphs Conference: Preface. LoG (2022)
Weihua Hu, Kaidi Cao, Kexin Huang, Edward W. Huang, Karthik Subbian, Jure Leskovec
TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks. CoRR (2022)
Yukun Cao, Xike Xie, Kexin Huang
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning. CoRR (2022)
Kexin Huang, Lifeng Yang, Yubo Wang, Liyu Huang, Xiaobo Zhou, Wei Zhang
Identification of non-small-cell lung cancer subtypes by unsupervised clustering of CT image features with distinct prognoses and gene pathway activities. Biomed. Signal Process. Control. 76 (2022)
Ziying Zhang, Jianlin Zhang, Haohao Sun, Kexin Huang
Research on social media tweet classification of rainstorm disaster based on XGBoost model. CAIBDA (2022)
Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun
Machine Learning Applications for Therapeutic Tasks with Genomics Data. CoRR (2021)
Tianfan Fu, Cao Xiao, Kexin Huang, Lucas M. Glass, Jimeng Sun
SPEAR: self-supervised post-training enhancer for molecule optimization. BCB (2021)
Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
MolTrans: Molecular Interaction Transformer for drug-target interaction prediction. Bioinform. 37 (6) (2021)
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. CoRR (2021)
Kexin Huang, Tianfan Fu, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun
DeepPurpose: a deep learning library for drug-target interaction prediction. Bioinform. 36 (22-23) (2021)
Michelle M. Li, Kexin Huang, Marinka Zitnik
Representation Learning for Networks in Biology and Medicine: Advancements, Challenges, and Opportunities. CoRR (2021)
Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data. CoRR (2021)
Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun
Machine learning applications for therapeutic tasks with genomics data. Patterns 2 (10) (2021)
Kexin Huang, Tamryn F. Gray, Santiago Romero-Brufau, James A. Tulsky, Charlotta Lindvall
Using nursing notes to improve clinical outcome prediction in intensive care patients: A retrospective cohort study. J. Am. Medical Informatics Assoc. 28 (8) (2021)
Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao
SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization. Bioinform. 37 (18) (2021)
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development. NeurIPS Datasets and Benchmarks (2021)
Kexin Huang, Cao Xiao, Lucas Glass, Jimeng Sun
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction. CoRR (2020)
Kexin Huang, Ye Du, Li Li, Jun Shen, Geng Sun
Pairwise-Based Hierarchical Gating Networks for Sequential Recommendation. KSEM (2) (2020)
Kexin Huang, Tianfan Fu, Dawood Khan, Ali Abid, Ali Abdalla, Abubakar Abid, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun
MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning. CoRR (2020)
Kexin Huang, Cao Xiao, Lucas Glass, Marinka Zitnik, Jimeng Sun
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks. CoRR (2020)
Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. AAAI (2020)
Kexin Huang, Marinka Zitnik
Graph Meta Learning via Local Subgraphs. NeurIPS (2020)
Kexin Huang, Marinka Zitnik
Graph Meta Learning via Local Subgraphs. CoRR (2020)
Kexin Huang, Tianfan Fu, Cao Xiao, Lucas Glass, Jimeng Sun
DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit. CoRR (2020)
Kexin Huang, Sankeerth Garapati, Alexander S. Rich
An Interpretable End-to-end Fine-tuning Approach for Long Clinical Text. CoRR (2020)
Kexin Huang, Abhishek Singh, Sitong Chen, Edward T. Moseley, Chih-ying Deng, Naomi George, Charlotta Lindvall
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation. ClinicalNLP@EMNLP (2020)
Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization. CoRR (2020)
Kexin Huang, Abhishek Singh, Sitong Chen, Edward T. Moseley, Chih-ying Deng, Naomi George, Charlotta Lindvall
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation. CoRR (2019)
Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas M. Glass, Jimeng Sun
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. CoRR (2019)
Kexin Huang, Yukun Cao, Ye Du, Li Li, Li Liu, Jun Liao
Social-Aware and Sequential Embedding for Cold-Start Recommendation. KSEM (1) (2019)
Kexin Huang, Jaan Altosaar, Rajesh Ranganath
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission. CoRR (2019)
Kexin Huang
Content-Based Image Retrieval using Generated Textual Meta-Data. ICAAI (2018)
Kexin Huang, Rodrigo Nogueira
EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection. CoRR (2018)