Shengchao Liu - RankMe

76 papers A* 19A 3B 1Journal 49Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment. AAAI Shengchao Liu, Xiaoming Liu, Chengzhengxu Li, Zhaohan Zhang, Guoxin Ma, Yu Lan, Shuai Xiao
2026	J	`jnl`	Rigidity-Aware Geometric Pretraining for Protein Design and Conformational Ensembles. CoRR Zhanghan Ni, Yanjing Li, Zeju Qiu, Bernhard Schölkopf, Hongyu Guo, Weiyang Liu, Shengchao Liu
2025	J	`jnl`	A text-guided protein design framework. Nat. Mac. Intell. Shengchao Liu, Yanjing Li, Zhuoxinran Li, Anthony Gitter, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Arvind Ramanathan, Chaowei Xiao, Jian Tang, Hongyu Guo, Anima Anandkumar
2025	A*	`conf`	AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly. ICLR Hongyu Guo, Yoshua Bengio, Shengchao Liu
2025	J	`jnl`	DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection. CoRR Guoxin Ma, Xiaoming Liu, Zhanhan Zhang, Chengzhengxu Li, Shengchao Liu, Yu Lan
2025	J	`jnl`	Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization. CoRR Shengchao Liu, Hannan Xu, Yan Ai, Huanxin Li, Yoshua Bengio, Harry Guo
2025	J	`jnl`	Flow Along the K-Amplitude for Generative Modeling. CoRR Weitao Du, Shuning Chang, Jiasheng Tang, Yu Rong, Fan Wang, Shengchao Liu
2025	J	`jnl`	InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames. CoRR Haorui Li, Weitao Du, Yuqiang Li, Hongyu Guo, Shengchao Liu
2025	J	`jnl`	MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment. CoRR Shengchao Liu, Xiaoming Liu, Chengzhengxu Li, Zhaohan Zhang, Guoxin Ma, Yu Lan, Shuai Xiao
2025	J	`jnl`	Upfront Chain-of-Thought: A Cooperative Framework for Chain-of-Thought Compression. CoRR Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Shaochu Zhang, Shengchao Liu, Guoxin Ma, Yu Lan, Chao Shen
2024	J	`jnl`	A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics. CoRR Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Vignesh C. Bhethanabotla, Nakul Rampal, Omar Yaghi, Christian Borgs, Anima Anandkumar, Hongyu Guo, Jennifer T. Chayes
2024	J	`jnl`	A quatum inspired neural network for geometric modeling. CoRR Weitao Du, Shengchao Liu, Xuecang Zhang
2024	A*	`conf`	CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes. NeurIPS Jason Yang, Ariane Mora, Shengchao Liu, Bruce J. Wittmann, Animashree Anandkumar, Frances H. Arnold, Yisong Yue
2024	J	`jnl`	CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes. CoRR Jason Yang, Ariane Mora, Shengchao Liu, Bruce J. Wittmann, Anima Anandkumar, Frances H. Arnold, Yisong Yue
2024	A*	`conf`	Conversational Drug Editing Using Retrieval and Domain Feedback. ICLR Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao
2024	J	`jnl`	Does DetectGPT Fully Utilize Perturbation? Bridge Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better. CoRR Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen
2024	—	`conf`	Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better. ACL (1) Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen
2024	A*	`conf`	Improving Domain Generalization with Domain Relations. ICLR Huaxiu Yao, Xinyu Yang, Xinyi Pan, Shengchao Liu, Pang Wei Koh, Chelsea Finn
2024	A	`conf`	MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization. SC Gautham Dharuman, Kyle Hippe, Alexander Brace, Sam Foreman, Väinö Hatanpää, Varuni Katti Sastry, Huihuo Zheng, Logan T. Ward, Servesh Muralidharan, Archit Vasan, Bharat Kale, Carla M. Mann, Heng Ma, Yun-Hsuan Cheng, Yuliana Zamora, Shengchao Liu, Chaowei Xiao, Murali Emani, Tom Gibbs, Mahidhar Tatineni, Deepak Canchi, Jerome Mitchell, Koichi Yamada, Maria Garzaran, Michael E. Papka, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan
2024	J	`jnl`	Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design. CoRR Shengchao Liu, Divin Yan, Weitao Du, Weiyang Liu, Zhuoxinran Li, Hongyu Guo, Christian Borgs, Jennifer T. Chayes, Anima Anandkumar
2024	J	`jnl`	Targetless External Reference Calibration of LiDAR and Camera in Autonomous Driving Environment. IEEE Trans. Instrum. Meas. Hao Wu, Yang Liu, Hongqian Huang, Jie Li, Qijing Lin, Shengchao Liu
2024	J	`jnl`	Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled. CoRR Shengchao Liu, Chengpeng Wang, Jiarui Lu, Weili Nie, Hanchen Wang, Zhuoxinran Li, Bolei Zhou, Jian Tang
2024	J	`jnl`	Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled. Trans. Mach. Learn. Res. Shengchao Liu, Chengpeng Wang, Jiarui Lu, Weili Nie, Hanchen Wang, Zhuoxinran Li, Bolei Zhou, Jian Tang
2023	A*	`conf`	A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. ICML Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang
2023	J	`jnl`	A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. CoRR Shengchao Liu, Weitao Du, Zhiming Ma, Hongyu Guo, Jian Tang
2023	J	`jnl`	A Text-guided Protein Design Framework. CoRR Shengchao Liu, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Anthony Gitter, Chaowei Xiao, Jian Tang, Hongyu Guo, Anima Anandkumar
2023	A	`conf`	An Empirical Study of Retrieval-Enhanced Graph Neural Networks. ECAI Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu
2023	J	`jnl`	ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback. CoRR Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao
2023	J	`jnl`	ChemSpacE: Interpretable and Interactive Chemical Space Exploration. Trans. Mach. Learn. Res. Yuanqi Du, Xian Liu, Nilay Mahesh Shah, Shengchao Liu, Jieyu Zhang, Bolei Zhou
2023	J	`jnl`	Evaluating Scalable Supervised Learning for Synthesize-on-Demand Chemical Libraries. J. Chem. Inf. Model. Moayad Alnammi, Shengchao Liu, Spencer S. Ericksen, Gene E. Ananiev, Andrew F. Voter, Song Guo, James L. Keck, F. Michael Hoffmann, Scott A. Wildman, Anthony Gitter
2023	A*	`conf`	Evaluating Self-Supervised Learning for Molecular Graph Embeddings. NeurIPS Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu
2023	A*	`conf`	Flaky Performances When Pretraining on Relational Databases (Student Abstract). AAAI Shengchao Liu, David Vázquez, Jian Tang, Pierre-André Noël
2023	A*	`conf`	GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning. NeurIPS Haiteng Zhao, Shengchao Liu, Chang Ma, Hannan Xu, Jie Fu, Zhihong Deng, Lingpeng Kong, Qi Liu
2023	J	`jnl`	GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning. CoRR Haiteng Zhao, Shengchao Liu, Chang Ma, Hannan Xu, Jie Fu, Zhi-Hong Deng, Lingpeng Kong, Qi Liu
2023	J	`jnl`	Leveraging Domain Relations for Domain Generalization. CoRR Huaxiu Yao, Xinyu Yang, Xinyi Pan, Shengchao Liu, Pang Wei Koh, Chelsea Finn
2023	A*	`conf`	Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching. ICLR Shengchao Liu, Hongyu Guo, Jian Tang
2023	A*	`conf`	Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion. NeurIPS Weitao Du, Jiujiu Chen, Xuecang Zhang, Zhi-Ming Ma, Shengchao Liu
2023	J	`jnl`	Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion. CoRR Weitao Du, Jiujiu Chen, Xuecang Zhang, Zhiming Ma, Shengchao Liu
2023	J	`jnl`	Multi-modal molecule structure-text model for text-based retrieval and editing. Nat. Mac. Intell. Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Animashree Anandkumar
2023	J	`jnl`	Scientific discovery in the age of artificial intelligence. Nat. 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 K. 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
2023	A*	`conf`	Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. NeurIPS Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhi-Ming Ma, Omar Yaghi, Animashree Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang
2023	J	`jnl`	Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. CoRR Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhiming Ma, Omar Yaghi, Anima Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang
2022	J	`jnl`	Attentive Walk-Aggregating Graph Neural Networks. Trans. Mach. Learn. Res. Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Zhenmei Shi, Yingyu Liang
2022	J	`jnl`	Augmenting Message Passing by Retrieving Similar Graphs. CoRR Dingmin Wang, Shengchao Liu, Hanchen Wang, Linfeng Song, Jian Tang, Song Le, Bernardo Cuenca Grau, Qi Liu
2022	J	`jnl`	Evaluating Self-Supervised Learning for Molecular Graph Embeddings. CoRR Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Matt J. Kusner, Joan Lasenby, Qi Liu
2022	J	`jnl`	Flaky Performances when Pretraining on Relational Databases. CoRR Shengchao Liu, David Vázquez, Jian Tang, Pierre-André Noël
2022	J	`jnl`	MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design. CoRR Yuanqi Du, Tianfan Fu, Jimeng Sun, Shengchao Liu
2022	J	`jnl`	Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching. CoRR Shengchao Liu, Hongyu Guo, Jian Tang
2022	J	`jnl`	Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing. CoRR Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Anima Anandkumar
2022	A*	`conf`	Pre-training Molecular Graph Representation with 3D Geometry. ICLR Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
2022	A	`conf`	Structured Multi-task Learning for Molecular Property Prediction. AISTATS Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang
2022	J	`jnl`	Structured Multi-task Learning for Molecular Property Prediction. CoRR Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang
2022	J	`jnl`	TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery. CoRR Zhaocheng Zhu, Chence Shi, Zuobai Zhang, Shengchao Liu, Minghao Xu, Xinyu Yuan, Yangtian Zhang, Jun-Kun Chen, Huiyu Cai, Jiarui Lu, Chang Ma, Runcheng Liu, Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
2021	J	`jnl`	An Analysis of Attentive Walk-Aggregating Graph Neural Networks. CoRR Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Yingyu Liang
2021	J	`jnl`	BERT4SO: Neural Sentence Ordering by Fine-tuning BERT. CoRR Yutao Zhu, Jian-Yun Nie, Kun Zhou, Shengchao Liu, Pan Du
2021	A*	`conf`	Neural Sentence Ordering Based on Constraint Graphs. AAAI Yutao Zhu, Kun Zhou, Jian-Yun Nie, Shengchao Liu, Zhicheng Dou
2021	J	`jnl`	Neural Sentence Ordering Based on Constraint Graphs. CoRR Yutao Zhu, Kun Zhou, Jian-Yun Nie, Shengchao Liu, Zhicheng Dou
2021	J	`jnl`	Pre-training Molecular Graph Representation with 3D Geometry. CoRR Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
2020	J	`jnl`	Achieving User-Defined Location Privacy Preservation Using a P2P System. IEEE Access Shengchao Liu, Jessie Hui Wang, Jilong Wang, Qianli Zhang
2020	A*	`conf`	Bad Global Minima Exist and SGD Can Reach Them. NeurIPS Shengchao Liu, Dimitris S. Papailiopoulos, Dimitris Achlioptas
2020	J	`jnl`	Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. CoRR Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam M. J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio
2020	A*	`conf`	Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. ICML Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Simon Blackburn, Karam M. J. Thomas, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio
2019	—	`conf`	A Generalized Moving Average Filter for Active Power Filter Applications. ISIE Yalan Gu, Shengchao Liu, Dong Wang, Li Zhang
2019	J	`jnl`	An Adaptive Online Scheme for Scheduling and Resource Enforcement in Storm. IEEE/ACM Trans. Netw. Shengchao Liu, Jianping Weng, Jessie Hui Wang, Changqing An, Yipeng Zhou, Jilong Wang
2019	J	`jnl`	Bad Global Minima Exist and SGD Can Reach Them. CoRR Shengchao Liu, Dimitris S. Papailiopoulos, Dimitris Achlioptas
2019	—	`conf`	Evaluation of Hybrid Si/SiC Three-Level Active Neutral-Point-Clamped Inverters. ISIE Li Zhang, Shengchao Liu, Guang Chen, Xingjian Yang
2019	J	`jnl`	Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests. J. Chem. Inf. Model. Jesse G. Meyer, Shengchao Liu, Ian J. Miller, Joshua J. Coon, Anthony Gitter
2019	A*	`conf`	Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning. AAAI Shengchao Liu, Yingyu Liang, Anthony Gitter
2019	A*	`conf`	N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules. NeurIPS Shengchao Liu, Mehmet Furkan Demirel, Yingyu Liang
2019	J	`jnl`	Practical Model Selection for Prospective Virtual Screening. J. Chem. Inf. Model. Shengchao Liu, Moayad Alnammi, Spencer S. Ericksen, Andrew F. Voter, Gene E. Ananiev, James L. Keck, F. Michael Hoffmann, Scott A. Wildman, Anthony Gitter
2019	—	`conf`	WRT: Constructing Users' Web Request Trees from HTTP Header Logs. ICC Shengchao Liu, Jilong Wang, Hui Wang, Haibo Wang, Ya Liu
2018	B	`conf`	A Multi-dimension Measurement Study of a Large Scale Campus WiFi Network. LCN Congcong Miao, Jilong Wang, Hui Wang, Jun Zhang, Weiwei Zhou, Shengchao Liu
2018	A*	`conf`	ATOMO: Communication-efficient Learning via Atomic Sparsification. NeurIPS Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary Charles, Dimitris S. Papailiopoulos, Stephen J. Wright
2018	J	`jnl`	ATOMO: Communication-efficient Learning via Atomic Sparsification. CoRR Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary Charles, Dimitris S. Papailiopoulos, Stephen J. Wright
2018	J	`jnl`	Dissecting persistent instability of web service: A joint perspective of server schedule dynamics and path latency. Int. J. Commun. Syst. Jing'an Xue, Jilong Wang, Shengchao Liu, Xiulin Ma, Haibo Wang
2018	J	`jnl`	N-Gram Graph, A Novel Molecule Representation. CoRR Shengchao Liu, Thevaa Chandereng, Yingyu Liang