Binghong Chen - RankMe

33 papers A* 11B 1Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rethink: reveal the impact of semantic distribution transfer from the cross-modal hashing perspective. Inf. Fusion Yinan Li, Zhi Liu, Jiajun Tang, Binghong Chen, Mingjin Kuai, Jun Long, Zhan Yang
2026	—	`conf`	StormMind: Disentangled Layerwise Modeling for Convective Weather Systems. KDD (1) Jun Chen, Minghui Qiu, Lin Chen, Yan Fang, Shuxin Zhong, Binghong Chen, Kaishun Wu
2025	A*	`conf`	Multi-View Learning with Context-Guided Receptance for Image Denoising. IJCAI Binghong Chen, Tingting Chai, Wei Jiang, Yuanrong Xu, Guanglu Zhou, Xiangqian Wu
2025	J	`jnl`	Multi-View Learning with Context-Guided Receptance for Image Denoising. CoRR Binghong Chen, Tingting Chai, Wei Jiang, Yuanrong Xu, Guanglu Zhou, Xiangqian Wu
2025	J	`jnl`	RainSeer: Fine-Grained Rainfall Reconstruction via Physics-Guided Modeling. CoRR Lin Chen, Jun Chen, Minghui Qiu, Shuxin Zhong, Binghong Chen, Kaishun Wu
2025	A*	`conf`	Unsupervised Similarity-Fusion Transformer Hashing for Multimodal Retrieval. ACM Multimedia Zhan Yang, Binghong Chen, Jiajun Tang, Yinan Li
2024	J	`jnl`	Improving preliminary clinical diagnosis accuracy through knowledge filtering techniques in consultation dialogues. Comput. Methods Programs Biomed. Ashu Abdul, Binghong Chen, Siginamsetty Phani, Jenhui Chen
2024	—	`conf`	Robust 3D reconstruction and cell-type deconvolution approach for spatial transcriptomics by hybrid graph learning and iterative computation. BIBM Zhengqian Zhang, Binghong Chen, Jialiang Wang, Haiyu Wang, Tianshuo Yu, Junjun Ren, Mingtao Zhang, Chongyao Liu, Wei Jiang, Yongzhuang Liu
2024	—	`conf`	SSD-MIR: Towards Medical Image Restoration With Structured Visual State Space Duality. BIBM Binghong Chen, Zhengqian Zhang, Haiyu Wang, Tianshuo Yu, Dong Wang, Jialiang Wang, Junjun Ren, Yongzhuang Liu, Wei Jiang
2023	—	`—`	Learning-based search algorithm design. Binghong Chen
2023	A*	`conf`	May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations. NeurIPS Rui Feng, Qi Zhu, Huan Tran, Binghong Chen, Aubrey Toland, Rampi Ramprasad, Chao Zhang
2023	J	`jnl`	May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations. CoRR Rui Feng, Qi Zhu, Huan Tran, Binghong Chen, Aubrey Toland, Rampi Ramprasad, Chao Zhang
2023	J	`jnl`	PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer. CoRR Rui Feng, Huan Tran, Aubrey Toland, Binghong Chen, Qi Zhu, Rampi Ramprasad, Chao Zhang
2022	J	`jnl`	Learning Temporal Rules from Noisy Timeseries Data. CoRR Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song
2022	J	`jnl`	Learning to Improve Code Efficiency. CoRR Binghong Chen, Daniel Tarlow, Kevin Swersky, Martin Maas, Pablo Ariel Heiber, Ashish Naik, Milad Hashemi, Parthasarathy Ranganathan
2022	A*	`conf`	Spanning Tree-based Graph Generation for Molecules. ICLR Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song
2021	A*	`conf`	ARBITRAR: User-Guided API Misuse Detection. SP Ziyang Li, Aravind Machiry, Binghong Chen, Mayur Naik, Ke Wang, Le Song
2021	J	`jnl`	BioNavi-NP: Biosynthesis Navigator for Natural Products. CoRR Shuangjia Zheng, Tao Zeng, Chengtao Li, Binghong Chen, Connor W. Coley, Yuedong Yang, Ruibo Wu
2021	J	`jnl`	Graph Contrastive Pre-training for Effective Theorem Reasoning. CoRR Zhaoyu Li, Binghong Chen, Xujie Si
2021	J	`jnl`	How to Design Sample and Computationally Efficient VQA Models. CoRR Karan Samel, Zelin Zhao, Binghong Chen, Kuan Wang, Robin Luo, Le Song
2021	A*	`conf`	Molecule Optimization by Explainable Evolution. ICLR Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song
2021	A*	`conf`	ProTo: Program-Guided Transformer for Program-Guided Tasks. NeurIPS Zelin Zhao, Karan Samel, Binghong Chen, Le Song
2021	J	`jnl`	ProTo: Program-Guided Transformer for Program-Guided Tasks. CoRR Zelin Zhao, Karan Samel, Binghong Chen, Le Song
2021	A*	`conf`	Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning. NeurIPS Jiani Huang, Ziyang Li, Binghong Chen, Karan Samel, Mayur Naik, Le Song, Xujie Si
2021	B	`conf`	Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. IJCNN Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino
2021	J	`jnl`	Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. CoRR Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino
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 Plan in High Dimensions via Neural Exploration-Exploitation Trees. ICLR Binghong Chen, Bo Dai, Qinjie Lin, Guo Ye, Han Liu, Le Song
2020	A*	`conf`	Retro: Learning Retrosynthetic Planning with Neural Guided A Search. ICML Binghong Chen, Chengtao Li, Hanjun Dai, Le Song
2020	J	`jnl`	Retro: Learning Retrosynthetic Planning with Neural Guided A Search. CoRR Binghong Chen, Chengtao Li, Hanjun Dai, Le Song
2019	J	`jnl`	GLAD: Learning Sparse Graph Recovery. CoRR Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song
2019	J	`jnl`	Learning to Plan via Neural Exploration-Exploitation Trees. CoRR Binghong Chen, Bo Dai, Le Song
2016	J	`jnl`	A Communication-Efficient Parallel Method for Group-Lasso. CoRR Binghong Chen, Jun Zhu