Xikun Zhang - RankMe

17 papers A* 5Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Benchmarking and Evaluation of AI Models in Biology: Outcomes and Recommendations from the CZI Virtual Cells Workshop. CoRR Elizabeth Fahsbender, Alma Andersson, Jeremy Ash, Polina Binder, Daniel Burkhardt, Benjamin Chang, Georg K. Gerber, Anthony Gitter, Patrick Godau, Ankit Gupta, Genevieve Haliburton, Siyu He, Trey Ideker, Ivana Jelic, Aly Khan, Yang-Joon Kim, Aditi Krishnapriyan, Jon M. Laurent, Tianyu Liu, Emma Lundberg, Shalin B. Mehta, Rob Moccia, Angela Oliveira Pisco, Katherine S. Pollard, Suresh Ramani, Julio Saez-Rodriguez, Yasin Senbabaoglu, Elana Simon, Srinivasan Sivanandan, Gustavo Stolovitzky, Marc Valer, Bo Wang, Xikun Zhang, James Zou, Katrina Kalantar
2024	J	`jnl`	How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities. CoRR Charlotte Bunne, Yusuf H. Roohani, Yanay Rosen, Ankit Gupta, Xikun Zhang, Marcel Roed, Theo Alexandrov, Mohammed AlQuraishi, Patricia Brennan, Daniel B. Burkhardt, Andrea Califano, Jonah Cool, Abby F. Dernburg, Kirsty Ewing, Emily B. Fox, Matthias Haury, Amy E. Herr, Eric Horvitz, Patrick D. Hsu, Viren Jain, Gregory R. Johnson, Thomas Kalil, David R. Kelley, Shana O. Kelley, Anna Kreshuk, Tim Mitchison, Stephani Otte, Jay Shendure, Nicolas J. Sofroniew, Fabian J. Theis, Christina V. Theodoris, Srigokul Upadhyayula, Marc Valer, Bo Wang, Eric Xing, Serena Yeung-Levy, Marinka Zitnik, Theofanis Karaletsos, Aviv Regev, Emma Lundberg, Jure Leskovec, Stephen R. Quake
2023	J	`jnl`	CLEVRER-Humans: Describing Physical and Causal Events the Human Way. CoRR Jiayuan Mao, Xuelin Yang, Xikun Zhang, Noah D. Goodman, Jiajun Wu
2022	A*	`conf`	CLEVRER-Humans: Describing Physical and Causal Events the Human Way. NeurIPS Jiayuan Mao, Xuelin Yang, Xikun Zhang, Noah D. Goodman, Jiajun Wu
2022	A*	`conf`	Deep Bidirectional Language-Knowledge Graph Pretraining. NeurIPS Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec
2022	J	`jnl`	Deep Bidirectional Language-Knowledge Graph Pretraining. CoRR Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec
2022	J	`jnl`	GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. CoRR Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec
2022	A*	`conf`	GreaseLM: Graph REASoning Enhanced Language Models. ICLR Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec
2020	J	`jnl`	Do Language Embeddings Capture Scales? CoRR Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth
2020	—	`conf`	Do Language Embeddings capture Scales? BlackboxNLP@EMNLP Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth
2020	—	`conf`	Do Language Embeddings capture Scales? EMNLP (Findings) Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth
2019	A*	`conf`	Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. KDD Srijan Kumar, Xikun Zhang, Jure Leskovec
2019	J	`jnl`	Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. CoRR Srijan Kumar, Xikun Zhang, Jure Leskovec
2019	J	`jnl`	Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. CoRR Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han
2018	J	`jnl`	Learning Dynamic Embeddings from Temporal Interactions. CoRR Srijan Kumar, Xikun Zhang, Jure Leskovec
2018	—	`conf`	Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. ECML/PKDD (2) Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han
2018	A*	`conf`	TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. KDD Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han