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ORCIDKexin Huang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j15]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): 26 (2024)- [c26]Kexin Huang, Chaohua Shi, Lu Gan, Hongqing Liu:
Understanding Gaussian Noise Mismatch: A Hellinger Distance Approach. ICASSP 2024: 9051-9055 - [c25]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 - [c24]Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec:
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases. ICML 2024 - [c23]Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang:
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games. ICML 2024 - [c22]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: 4551-4591 - [c21]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: 4696-4712 - [c20]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: 17-37 - [i32]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 abs/2401.15071 (2024) - [i31]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 abs/2404.13207 (2024) - [i30]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 abs/2406.07594 (2024) - [i29]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 abs/2406.08756 (2024) - [i28]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 abs/2406.11200 (2024) - [i27]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 abs/2406.14952 (2024) - [i26]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 abs/2407.00631 (2024) - [i25]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 abs/2407.20060 (2024) - [i24]Tianle Gu, Kexin Huang, Ruilin Luo, Yuanqi Yao, Yujiu Yang, Yan Teng, Yingchun Wang:
MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts. CoRR abs/2409.11844 (2024) - 2023
- [j14]Xiaolin Li, Li Ma, Benjiang Lu, Kexin Huang:
Sincere or Falsehearted? Investigation of Online Reviews and Merchant Response. Int. J. Electron. Commer. 27(2): 185-209 (2023) - [j13]Kexin Huang, Haoran 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): 805-815 (2023) - [j12]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): 47-60 (2023) - [j11]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) - [j10]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): 1266-1276 (2023) - [c19]Yukun Cao, Xike Xie, Kexin Huang:
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning. ICDE 2023: 1720-1733 - [c18]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: 89-90 - [c17]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: i-xix - [c16]Kexin Huang, Ying Jin, Emmanuel J. Candès, Jure Leskovec:
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. NeurIPS 2023 - [c15]Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec:
High dimensional, tabular deep learning with an auxiliary knowledge graph. NeurIPS 2023 - [c14]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: 238-248 - [p2]Yuxiao Zhang, Qingfeng Chen, Xinkun Hao, Haiming Pan, Qian Yu, Kexin Huang:
Defense Against Adversarial Attack on Knowledge Graph Embedding. Emerging Trends in Cybersecurity Applications 2023: 441-461 - [i23]Kexin Huang, Ying Jin, Emmanuel J. Candès, Jure Leskovec:
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. CoRR abs/2305.14535 (2023) - [i22]Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec:
Enabling tabular deep learning when d ≫ n with an auxiliary knowledge graph. CoRR abs/2306.04766 (2023) - [i21]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 abs/2307.04571 (2023) - [i20]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 abs/2311.05915 (2023) - [i19]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 abs/2311.06899 (2023) - [i18]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 abs/2312.04615 (2023) - 2022
- [j9]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): 59-68 (2022) - [j8]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: 103643 (2022) - [j7]Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
HINT: Hierarchical interaction network for clinical-trial-outcome predictions. Patterns 3(4): 100445 (2022) - [j6]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): 2733 (2022) - [c13]Ziying Zhang, Jianlin Zhang, Haohao Sun, Kexin Huang:
Research on social media tweet classification of rainstorm disaster based on XGBoost model. CAIBDA 2022: 1-4 - [c12]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 - [c11]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: i-xxiii - [c10]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 - [c9]Kexin Huang, Vishnu Sresht, Brajesh K. Rai, Mykola Bordyuh:
Uncertainty-aware pseudo-labeling for quantum calculations. UAI 2022: 853-862 - [i17]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 abs/2210.14843 (2022) - [i16]Yukun Cao, Xike Xie, Kexin Huang:
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning. CoRR abs/2212.03423 (2022) - 2021
- [j5]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): 5545-5547 (2021) - [j4]Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
MolTrans: Molecular Interaction Transformer for drug-target interaction prediction. Bioinform. 37(6): 830-836 (2021) - [j3]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): 2988-2995 (2021) - [j2]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): 1660-1666 (2021) - [j1]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): 100328 (2021) - [c8]Tianfan Fu, Cao Xiao, Kexin Huang, Lucas M. Glass, Jimeng Sun:
SPEAR: self-supervised post-training enhancer for molecule optimization. BCB 2021: 27:1-27:10 - [c7]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 - [i15]Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data. CoRR abs/2102.04252 (2021) - [i14]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 abs/2102.09548 (2021) - [i13]Michelle M. Li, Kexin Huang, Marinka Zitnik:
Representation Learning for Networks in Biology and Medicine: Advancements, Challenges, and Opportunities. CoRR abs/2104.04883 (2021) - [i12]Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun:
Machine Learning Applications for Therapeutic Tasks with Genomics Data. CoRR abs/2105.01171 (2021) - 2020
- [c6]Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun:
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. AAAI 2020: 702-709 - [c5]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: 94-100 - [c4]Kexin Huang, Ye Du, Li Li, Jun Shen, Geng Sun:
Pairwise-Based Hierarchical Gating Networks for Sequential Recommendation. KSEM (2) 2020: 64-75 - [c3]Kexin Huang, Marinka Zitnik:
Graph Meta Learning via Local Subgraphs. NeurIPS 2020 - [p1]Kexin Huang, Rodrigo Frassetto Nogueira:
EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection. Precision Health and Medicine 2020: 187-191 - [i11]Kexin Huang, Tianfan Fu, Cao Xiao, Lucas Glass, Jimeng Sun:
DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit. CoRR abs/2004.08919 (2020) - [i10]Kexin Huang, Cao Xiao, Lucas Glass, Jimeng Sun:
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction. CoRR abs/2004.11424 (2020) - [i9]Kexin Huang, Cao Xiao, Lucas Glass, Marinka Zitnik, Jimeng Sun:
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks. CoRR abs/2004.14949 (2020) - [i8]Kexin Huang, Marinka Zitnik:
Graph Meta Learning via Local Subgraphs. CoRR abs/2006.07889 (2020) - [i7]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 abs/2010.01450 (2020) - [i6]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 abs/2010.03951 (2020) - [i5]Kexin Huang, Sankeerth Garapati, Alexander S. Rich:
An Interpretable End-to-end Fine-tuning Approach for Long Clinical Text. CoRR abs/2011.06504 (2020)
2010 – 2019
- 2019
- [c2]Kexin Huang, Yukun Cao, Ye Du, Li Li, Li Liu, Jun Liao:
Social-Aware and Sequential Embedding for Cold-Start Recommendation. KSEM (1) 2019: 60-71 - [i4]Kexin Huang, Jaan Altosaar, Rajesh Ranganath:
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission. CoRR abs/1904.05342 (2019) - [i3]Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas M. Glass, Jimeng Sun:
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. CoRR abs/1911.06446 (2019) - [i2]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 abs/1912.11975 (2019) - 2018
- [c1]Kexin Huang:
Content-Based Image Retrieval using Generated Textual Meta-Data. ICAAI 2018: 16-19 - [i1]Kexin Huang, Rodrigo Frassetto Nogueira:
EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection. CoRR abs/1809.09143 (2018)
Coauthor Index
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