Xinshi Chen - RankMe

26 papers A* 9Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Protenix-Mini+: efficient structure prediction model with scalable pairformer. CoRR Bo Qiang, Chengyue Gong, Xinshi Chen, Yuxuan Zhang, Wenzhi Xiao
2025	J	`jnl`	Protenix-Mini: Efficient Structure Predictor via Compact Architecture, Few-Step Diffusion and Switchable pLM. CoRR Chengyue Gong, Xinshi Chen, Yuxuan Zhang, Yuxuan Song, Hao Zhou, Wenzhi Xiao
2022	—	`—`	Duality Between Deep Learning And Algorithm Design. Xinshi Chen
2022	J	`jnl`	Graph Condensation via Receptive Field Distribution Matching. CoRR Mengyang Liu, Shanchuan Li, Xinshi Chen, Le Song
2022	A*	`conf`	Provable Learning-based Algorithm For Sparse Recovery. ICLR Xinshi Chen, Haoran Sun, Le Song
2022	J	`jnl`	uGLAD: Sparse graph recovery by optimizing deep unrolled networks. CoRR Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen
2021	J	`jnl`	Efficient Dynamic Graph Representation Learning at Scale. CoRR Xinshi Chen, Yan Zhu, Haowen Xu, Mengyang Liu, Liang Xiong, Muhan Zhang, Le Song
2021	A*	`conf`	Multi-task Learning of Order-Consistent Causal Graphs. NeurIPS Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song
2021	J	`jnl`	Multi-task Learning of Order-Consistent Causal Graphs. CoRR Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song
2020	A*	`conf`	Efficient Probabilistic Logic Reasoning with Graph Neural Networks. ICLR Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song
2020	J	`jnl`	Efficient Probabilistic Logic Reasoning with Graph Neural Networks. CoRR Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song
2020	A*	`conf`	GLAD: Learning Sparse Graph Recovery. ICLR Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Han Liu, Le Song
2020	A*	`conf`	Learning To Stop While Learning To Predict. ICML Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song
2020	J	`jnl`	Learning to Stop While Learning to Predict. CoRR Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song
2020	A*	`conf`	RNA Secondary Structure Prediction By Learning Unrolled Algorithms. ICLR Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song
2020	J	`jnl`	RNA Secondary Structure Prediction By Learning Unrolled Algorithms. CoRR Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song
2020	A*	`conf`	Understanding Deep Architecture with Reasoning Layer. NeurIPS Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song
2020	J	`jnl`	Understanding Deep Architectures with Reasoning Layer. CoRR Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song
2019	J	`jnl`	Can Graph Neural Networks Help Logic Reasoning? CoRR Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song
2019	J	`jnl`	GLAD: Learning Sparse Graph Recovery. CoRR Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song
2019	A*	`conf`	Generative Adversarial User Model for Reinforcement Learning Based Recommendation System. ICML Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song
2019	J	`jnl`	Meta Particle Flow for Sequential Bayesian Inference. CoRR Xinshi Chen, Hanjun Dai, Le Song
2019	J	`jnl`	Parametric FEM for Shape Optimization applied to Golgi Stack. CoRR Xinshi Chen, Eric Tsz Shun Chung
2019	A*	`conf`	Particle Flow Bayes' Rule. ICML Xinshi Chen, Hanjun Dai, Le Song
2019	J	`jnl`	Review: Ordinary Differential Equations For Deep Learning. CoRR Xinshi Chen
2018	J	`jnl`	Neural Model-Based Reinforcement Learning for Recommendation. CoRR Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song