Shuxin Zheng - RankMe

61 papers A* 13C 1Journal 40Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GUIGuard: Toward a General Framework for Privacy-Preserving GUI Agents. CoRR Yanxi Wang, Zhiling Zhang, Wenbo Zhou, Weiming Zhang, Jie Zhang, Qiannan Zhu, Yu Shi, Shuxin Zheng, Jiyan He
2025	J	`jnl`	Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows. CoRR Haoyu Dong, Pengkun Zhang, Yan Gao, Xuanyu Dong, Yilin Cheng, Mingzhe Lu, Adina Yakefu, Shuxin Zheng
2025	J	`jnl`	GTM: Simulating the World of Tools for AI Agents. CoRR Zhenzhen Ren, Xinpeng Zhang, Zhenxing Qian, Yan Gao, Yu Shi, Shuxin Zheng, Jiyan He
2025	J	`jnl`	Modeling Earth-Scale Human-Like Societies with One Billion Agents. CoRR Haoxiang Guan, Jiyan He, Liyang Fan, Zhenzhen Ren, Shaobin He, Xin Yu, Yuan Chen, Shuxin Zheng, Tie-Yan Liu, Zhen Liu
2025	J	`jnl`	NatureLM: Deciphering the Language of Nature for Scientific Discovery. CoRR Yingce Xia, Peiran Jin, Shufang Xie, Liang He, Chuan Cao, Renqian Luo, Guoqing Liu, Yue Wang, Zequn Liu, Yuan-Jyue Chen, Zekun Guo, Yeqi Bai, Pan Deng, Yaosen Min, Ziheng Lu, Hongxia Hao, Han Yang, Jielan Li, Chang Liu, Jia Zhang, Jianwei Zhu, Kehan Wu, Wei Zhang, Kaiyuan Gao, Qizhi Pei, Qian Wang, Xixian Liu, Yanting Li, Houtian Zhu, Yeqing Lu, Mingqian Ma, Zun Wang, Tian Xie, Krzysztof Maziarz, Marwin H. S. Segler, Zhao Yang, Zilong Chen, Yu Shi, Shuxin Zheng, Lijun Wu, Chen Hu, Peggy Dai, Tie-Yan Liu, Haiguang Liu, Tao Qin
2025	J	`jnl`	No Free Lunch: Rethinking Internal Feedback for LLM Reasoning. CoRR Yanzhi Zhang, Zhaoxi Zhang, Haoxiang Guan, Yilin Cheng, Yitong Duan, Chen Wang, Yue Wang, Shuxin Zheng, Jiyan He
2025	J	`jnl`	Population-Evolve: a Parallel Sampling and Evolutionary Method for LLM Math Reasoning. CoRR Yanzhi Zhang, Yitong Duan, Zhaoxi Zhang, Jiyan He, Shuxin Zheng
2024	J	`jnl`	A Cross-Period Network for Clothing Change Person Re-Identification. IEEE Access Shuxin Zheng, Sai Liang, Chunyun Meng, Zhongguo Zhang, Li Luan
2024	—	`conf`	A Nonlocal Denoising Framework Based on Tensor Low Rank Representation with Weighted Tensor Schatten p norm. ICIT Cuicui Peng, Yunjie Zhang, Shuxin Zheng
2024	J	`jnl`	Author Correction: Predicting equilibrium distributions for molecular systems with deep learning. Nat. Mac. Intell. Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu
2024	A*	`conf`	Bridging Geometric States via Geometric Diffusion Bridge. NeurIPS Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	J	`jnl`	Bridging Geometric States via Geometric Diffusion Bridge. CoRR Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	A*	`conf`	GeoMFormer: A General Architecture for Geometric Molecular Representation Learning. ICML Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	J	`jnl`	GeoMFormer: A General Architecture for Geometric Molecular Representation Learning. CoRR Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	—	`conf`	Multi-view Subspace Clustering Based on Tensor Log-Determinant Minimization Approach. ICIT Shuxin Zheng, Yunjie Zhang, Cuicui Peng
2024	J	`jnl`	Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning. Nat. Comput. Sci. He Zhang, Siyuan Liu, Jiacheng You, Chang Liu, Shuxin Zheng, Ziheng Lu, Tong Wang, Nanning Zheng, Bin Shao
2024	J	`jnl`	Predicting equilibrium distributions for molecular systems with deep learning. Nat. Mac. Intell. Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu
2024	J	`jnl`	Towards Generalist Prompting for Large Language Models by Mental Models. CoRR Haoxiang Guan, Jiyan He, Shuxin Zheng, En-Hong Chen, Weiming Zhang, Nenghai Yu
2023	—	`conf`	A New Enhanced Tensor Low Rank Representation Method for Image Denoising. ICCIP Cuicui Peng, Yunjie Zhang, Shuxin Zheng
2023	J	`jnl`	Adaptive tourism forecasting using hybrid artificial intelligence model: a case study of Xi'an international tourist arrivals. PeerJ Comput. Sci. Shuxin Zheng, Zhongguo Zhang
2023	J	`jnl`	Control Risk for Potential Misuse of Artificial Intelligence in Science. CoRR Jiyan He, Weitao Feng, Yaosen Min, Jingwei Yi, Kunsheng Tang, Shuai Li, Jie Zhang, Kejiang Chen, Wenbo Zhou, Xing Xie, Weiming Zhang, Nenghai Yu, Shuxin Zheng
2023	J	`jnl`	Inverse Design of Vitrimeric Polymers by Molecular Dynamics and Generative Modeling. CoRR Yiwen Zheng, Prakash Thakolkaran, Jake A. Smith, Ziheng Lu, Shuxin Zheng, Bichlien H. Nguyen, Siddhant Kumar, Aniruddh Vashisth
2023	J	`jnl`	Invertible Rescaling Network and Its Extensions. Int. J. Comput. Vis. Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu
2023	J	`jnl`	M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning. CoRR He Zhang, Siyuan Liu, Jiacheng You, Chang Liu, Shuxin Zheng, Ziheng Lu, Tong Wang, Nanning Zheng, Bin Shao
2023	A*	`conf`	Molecule Generation For Target Protein Binding with Structural Motifs. ICLR Zaixi Zhang, Yaosen Min, Shuxin Zheng, Qi Liu
2023	A*	`conf`	One Transformer Can Understand Both 2D & 3D Molecular Data. ICLR Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
2023	J	`jnl`	Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning. CoRR Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu
2022	C	`conf`	A Hybrid Medical Causal Inference Platform Based on Data Lake. HIS Peng Ren, Xingyue Liu, Shuxin Zheng, Lijun Liao, Xin Li, Ligong Lu, Xia Wang, Ruoyu Wang, Ming Sheng
2022	J	`jnl`	Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets. CoRR Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu
2022	J	`jnl`	Invertible Rescaling Network and Its Extensions. CoRR Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu
2022	J	`jnl`	One Transformer Can Understand Both 2D & 3D Molecular Data. CoRR Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Di He, Liwei Wang
2022	J	`jnl`	Predicting the protein-ligand affinity from molecular dynamics trajectories. CoRR Yaosen Min, Ye Wei, Peizhuo Wang, Nian Wu, Stefan Bauer, Shuxin Zheng, Yu Shi, Yingheng Wang, Dan Zhao, Ji Wu, Jianyang Zeng
2022	A*	`conf`	Quantized Training of Gradient Boosting Decision Trees. NeurIPS Yu Shi, Guolin Ke, Zhuoming Chen, Shuxin Zheng, Tie-Yan Liu
2022	J	`jnl`	Quantized Training of Gradient Boosting Decision Trees. CoRR Yu Shi, Guolin Ke, Zhuoming Chen, Shuxin Zheng, Tie-Yan Liu
2022	A*	`conf`	Your Transformer May Not be as Powerful as You Expect. NeurIPS Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
2022	J	`jnl`	Your Transformer May Not be as Powerful as You Expect. CoRR Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
2021	A*	`conf`	Cross-Iteration Batch Normalization. CVPR Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin
2021	J	`jnl`	Do Transformers Really Perform Bad for Graph Representation? CoRR Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
2021	A*	`conf`	Do Transformers Really Perform Badly for Graph Representation? NeurIPS Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
2021	J	`jnl`	First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track. CoRR Chengxuan Ying, Mingqi Yang, Shuxin Zheng, Guolin Ke, Shengjie Luo, Tianle Cai, Chenglin Wu, Yuxin Wang, Yanming Shen, Di He
2021	A*	`conf`	How could Neural Networks understand Programs? ICML Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu
2021	J	`jnl`	How could Neural Networks understand Programs? CoRR Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu
2021	J	`jnl`	Revisiting Language Encoding in Learning Multilingual Representations. CoRR Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu
2021	A*	`conf`	Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. NeurIPS Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
2021	J	`jnl`	Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. CoRR Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
2021	—	`conf`	The Open Catalyst Challenge 2021: Competition Report. NeurIPS (Competition and Demos) Abhishek Das, Muhammed Shuaibi, Aini Palizhati, Siddharth Goyal, Aditya Grover, Adeesh Kolluru, Janice Lan, Ammar Rizvi, Anuroop Sriram, Brandon M. Wood, Devi Parikh, Zachary W. Ulissi, C. Lawrence Zitnick, Guolin Ke, Shuxin Zheng, Yu Shi, Di He, Tie-Yan Liu, Chengxuan Ying, Jiacheng You, Yihan He, Rostislav Grigoriev, Ruslan Lukin, Adel Yarullin, Max Faleev
2020	J	`jnl`	Cross-Iteration Batch Normalization. CoRR Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin
2020	—	`conf`	Invertible Image Rescaling. ECCV (1) Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
2020	J	`jnl`	Invertible Image Rescaling. CoRR Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
2020	J	`jnl`	MC-BERT: Efficient Language Pre-Training via a Meta Controller. CoRR Zhenhui Xu, Linyuan Gong, Guolin Ke, Di He, Shuxin Zheng, Liwei Wang, Jiang Bian, Tie-Yan Liu
2020	J	`jnl`	Modeling Lost Information in Lossy Image Compression. CoRR Yaolong Wang, Mingqing Xiao, Chang Liu, Shuxin Zheng, Tie-Yan Liu
2020	A*	`conf`	On Layer Normalization in the Transformer Architecture. ICML Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu
2020	J	`jnl`	On Layer Normalization in the Transformer Architecture. CoRR Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu
2019	A*	`conf`	Capacity Control of ReLU Neural Networks by Basis-Path Norm. AAAI Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu
2019	—	`conf`	G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space. ICLR (Poster) Qi Meng, Shuxin Zheng, Huishuai Zhang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu
2019	J	`jnl`	OptQuant: Distributed training of neural networks with optimized quantization mechanisms. Neurocomputing Li He, Shuxin Zheng, Wei Chen, Zhiming Ma, Tie-Yan Liu
2018	—	`conf`	A Dendritic Neuron Model with Nonlinearity Validation on Istanbul Stock and Taiwan Futures Exchange Indexes Prediction. CCIS Dongbao Jia, Shuxin Zheng, Lin Yang, Yuki Todo, Shangce Gao
2018	J	`jnl`	Capacity Control of ReLU Neural Networks by Basis-path Norm. CoRR Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu
2018	J	`jnl`	Optimizing Neural Networks in the Equivalent Class Space. CoRR Qi Meng, Wei Chen, Shuxin Zheng, Qiwei Ye, Tie-Yan Liu
2017	A*	`conf`	Asynchronous Stochastic Gradient Descent with Delay Compensation. ICML Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning. CoRR Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu