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Le Song
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2020 – today
- 2024
- [j46]Qing Li
, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Gengjie Jia, Sheng Wang, Le Song, Yu Li
:
Progress and opportunities of foundation models in bioinformatics. Briefings Bioinform. 25(6) (2024) - [j45]Ding Bai, Caleb N. Ellington, Shentong Mo, Le Song, Eric P. Xing:
AttentionPert: accurately modeling multiplexed genetic perturbations with multi-scale effects. Bioinform. 40(Supplement_1): i453-i461 (2024) - [j44]Yutao Xie, Jun Wang, Cheng Chen, Taixin Yin, Shiyu Yang, Zhiyuan Li, Ye Zhang, Juyang Ke, Le Song, Lin Gan:
Sound identification of abnormal pig vocalizations: Enhancing livestock welfare monitoring on smart farms. Inf. Process. Manag. 61(4): 103770 (2024) - [j43]Le Song
:
"Oh my Dave, your face says it all!": Exploring the Multimodal Practices of Tasting in Live Streaming. Proc. ACM Hum. Comput. Interact. 8(MHCI): 1-27 (2024) - [j42]Huan Xiong
, Lei Huang
, Wenston J. T. Zang
, Xiantong Zhen
, Guo-Sen Xie
, Bin Gu
, Le Song
:
On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 5131-5148 (2024) - [j41]Le Song, Guilong Zhu
, Xiao Yin:
Evaluating the wisdom of scholar crowds from the perspective of knowledge diffusion. Scientometrics 129(9): 5103-5139 (2024) - [c195]Le Song, Zhegong Shangguan:
The Moment That The Driver Takes Over: Examining trust in full-self driving in a naturalistic and sequential approach. ECSCW 2024 - [c194]Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song, Bryan Kian Hsiang Low, Patrick Jaillet:
Optimistic Bayesian Optimization with Unknown Constraints. ICLR 2024 - [c193]Ruijia Wang
, Haoran Dai
, Cheng Yang
, Le Song
, Chuan Shi
:
Advancing Molecule Invariant Representation via Privileged Substructure Identification. KDD 2024: 3188-3199 - [c192]Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song:
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training. NeurIPS 2024 - [c191]Zhegong Shangguan
, Yang Liu, Le Song
, Tingcheng Li
, Adriana Tapus
:
Using a Pneumatic Tactile Steering Wheel to Enhance the Multi-Modal Takeover Request In Smart Vehicle. ICSR + BioMed 2024: 122-132 - [c190]Le Song
, Zhegong Shangguan
:
Multimodal Practices to Sustain Multiactivity When Live Streaming. IMX 2024: 369-374 - [d1]Le Song
, Siying Lu
:
Supplementary Materials. IEEE DataPort, 2024 - [i128]Bo Chen, Xingyi Cheng, Pan Li, Yangli-ao Geng, Jing Gong, Shen Li, Zhilei Bei, Xu Tan, Boyan Wang, Xin Zeng, Chiming Liu, Aohan Zeng, Yuxiao Dong, Jie Tang, Le Song:
xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein. CoRR abs/2401.06199 (2024) - [i127]Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Le Song, Yu Li:
Progress and Opportunities of Foundation Models in Bioinformatics. CoRR abs/2402.04286 (2024) - [i126]Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song:
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training. CoRR abs/2406.05347 (2024) - [i125]Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song:
Training Compute-Optimal Protein Language Models. CoRR abs/2411.02142 (2024) - [i124]Le Song, Eran Segal, Eric P. Xing:
Toward AI-Driven Digital Organism: Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels. CoRR abs/2412.06993 (2024) - 2023
- [j40]Libao Deng
, Yuanzhu Di, Le Song, Wenyin Gong:
LTCSO/D: a large-scale tri-particle competitive swarm optimizer based on decomposition for multiobjective optimization. Appl. Intell. 53(20): 24034-24055 (2023) - [j39]Dong Liu, Biao Zhang, Jun Liu, Hui Li, Le Song, Guijun Zhang
:
Assessing protein model quality based on deep graph coupled networks using protein language model. Briefings Bioinform. 25(1) (2023) - [j38]Xiaomin Fang
, Fan Wang
, Lihang Liu
, Jingzhou He, Dayong Lin, Yingfei Xiang
, Kunrui Zhu, Xiaonan Zhang, Hua Wu, Hui Li, Le Song
:
A method for multiple-sequence-alignment-free protein structure prediction using a protein language model. Nat. Mac. Intell. 5(10): 1087-1096 (2023) - [j37]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 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:
Scientific discovery in the age of artificial intelligence. Nat. 620(7972): 47-60 (2023) - [c189]Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu:
An Empirical Study of Retrieval-Enhanced Graph Neural Networks. ECAI 2023: 2443-2450 - [c188]Yanfeng Zhou, Jiaxing Huang
, Chenlong Wang, Le Song, Ge Yang:
XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images. ICCV 2023: 21028-21039 - [c187]Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song:
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data. NeurIPS 2023 - [c186]Ruijia Wang, YiWu Sun, Yujie Luo, Shaochuan Li, Cheng Yang, Xingyi Cheng, Hui Li, Chuan Shi, Le Song:
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization. NeurIPS 2023 - [i123]Zhihang Hu, Qinze Yu
, Yucheng Guo, Taifeng Wang, Irwin King, Xin Gao, Le Song, Yu Li:
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning. CoRR abs/2301.05931 (2023) - [i122]Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song:
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data. CoRR abs/2311.15156 (2023) - 2022
- [j36]Le Song
, Yinghong Ma
:
Evaluating tacit knowledge diffusion with algebra matrix algorithm based social networks. Appl. Math. Comput. 428: 127125 (2022) - [j35]Harsh Shrivastava
, Xiuwei Zhang, Le Song, Srinivas Aluru:
GRNUlar: A Deep Learning Framework for Recovering Single-Cell Gene Regulatory Networks. J. Comput. Biol. 29(1): 27-44 (2022) - [j34]Stefanos Zafeiriou
, Michael M. Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec
, Pietro Liò
, Joan Bruna, Marco Gori:
Guest Editorial: Non-Euclidean Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 723-726 (2022) - [c185]Rongzhi Zhang
, Yue Yu
, Pranav Shetty, Le Song, Chao Zhang:
Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. ACL (1) 2022: 745-758 - [c184]Yuchen Zhuang, Yinghao Li, Junyang Zhang, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang:
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. EMNLP 2022: 730-744 - [c183]Weijia Ren, Fanmiao Sun, Lijia Liu, Yifan Wang, Le Song, Jingjing Shi:
Path Loss Model for Wearable Robotic Arm System at MHz Band. ICCT 2022: 1923-1926 - [c182]Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song:
Spanning Tree-based Graph Generation for Molecules. ICLR 2022 - [c181]Xinshi Chen, Haoran Sun, Le Song:
Provable Learning-based Algorithm For Sparse Recovery. ICLR 2022 - [c180]Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song:
Explaining Point Processes by Learning Interpretable Temporal Logic Rules. ICLR 2022 - [c179]Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin:
GNN is a Counter? Revisiting GNN for Question Answering. ICLR 2022 - [c178]James Fox, Bo Zhao
, Beatriz Gonzalez del Rio
, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song:
Concentric Spherical Neural Network for 3D Representation Learning. IJCNN 2022: 1-8 - [c177]Yinghao Li, Le Song, Chao Zhang:
Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition. KDD 2022: 978-988 - [c176]Ruijia Wang, Xiao Wang, Chuan Shi, Le Song:
Uncovering the Structural Fairness in Graph Contrastive Learning. NeurIPS 2022 - [e1]Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu, Sivan Sabato:
International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Proceedings of Machine Learning Research 162, PMLR 2022 [contents] - [i121]Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song:
Learning Temporal Rules from Noisy Timeseries Data. CoRR abs/2202.05403 (2022) - [i120]Nianzu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, Le Song:
Molecule Generation for Drug Design: a Graph Learning Perspective. CoRR abs/2202.09212 (2022) - [i119]Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang:
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. CoRR abs/2203.09735 (2022) - [i118]Yinghao Li, Le Song, Chao Zhang:
Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition. CoRR abs/2205.14228 (2022) - [i117]Mengyang Liu, Shanchuan Li, Xinshi Chen, Le Song:
Graph Condensation via Receptive Field Distribution Matching. CoRR abs/2206.13697 (2022) - [i116]Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Xiaonan Zhang, Hua Wu, Hui Li, Le Song:
HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative. CoRR abs/2207.13921 (2022) - [i115]Mengyang Liu, Haozheng Luo, Leonard Thong, Yinghao Li, Chao Zhang, Le Song:
SciAnnotate: A Tool for Integrating Weak Labeling Sources for Sequence Labeling. CoRR abs/2208.10241 (2022) - [i114]Ruijia Wang, Xiao Wang, Chuan Shi, Le Song:
Uncovering the Structural Fairness in Graph Contrastive Learning. CoRR abs/2210.03011 (2022) - [i113]Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang:
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. CoRR abs/2210.14427 (2022) - [i112]Yining Wang, Xumeng Gong, Shaochuan Li, Bing Yang, YiWu Sun, Chuan Shi, Yangang Wang, Cheng Yang, Hui Li, Le Song:
xTrimoABFold: De novo Antibody Structure Prediction without MSA. CoRR abs/2212.00735 (2022) - 2021
- [j33]Yinghong Ma
, Hui Jiao, Le Song
:
Tracking Attention of Social Media Event by Hidden Markov Model-Cases from Sina Weibo. IEEE Access 9: 68240-68252 (2021) - [j32]Libao Deng
, Le Song, Gaoji Sun
:
A Competitive Particle Swarm Algorithm Based on Vector Angles for Multi-Objective Optimization. IEEE Access 9: 89741-89756 (2021) - [j31]Mengmeng Liu
, Yinghong Ma, Le Song
, Changyu Liu:
Understanding the game behavior with sentiment and unequal status in cooperation network. Knowl. Based Syst. 212: 106588 (2021) - [j30]Le Song
, Huan Zhu
, Yelong Zheng
, Meirong Zhao
, Clarence Augustine Th Tee
, Fengzhou Fang
:
Bionic Compound Eye-Inspired High Spatial and Sensitive Tactile Sensor. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - [c175]Yinghao Li, Pranav Shetty
, Lucas Liu, Chao Zhang, Le Song:
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition. ACL/IJCNLP (1) 2021: 6178-6190 - [c174]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller:
Orthogonal Over-Parameterized Training. CVPR 2021: 7251-7260 - [c173]Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song:
Molecule Optimization by Explainable Evolution. ICLR 2021 - [c172]Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino
:
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. IJCNN 2021: 1-8 - [c171]Min Zhao, Xin Guo, Le Song, Baoxing Qin, Xuesong Shi, Gim Hee Lee, Guanghui Sun:
A General Framework for Lifelong Localization and Mapping in Changing Environment. IROS 2021: 3305-3312 - [c170]Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin:
RoMA: Robust Model Adaptation for Offline Model-based Optimization. NeurIPS 2021: 4619-4631 - [c169]Qingru Zhang, David Wipf, Quan Gan, Le Song:
A Biased Graph Neural Network Sampler with Near-Optimal Regret. NeurIPS 2021: 8833-8844 - [c168]Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song:
Multi-task Learning of Order-Consistent Causal Graphs. NeurIPS 2021: 11083-11095 - [c167]Zelin Zhao, Karan Samel, Binghong Chen, Le Song:
ProTo: Program-Guided Transformer for Program-Guided Tasks. NeurIPS 2021: 17021-17036 - [c166]Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava:
Locality Sensitive Teaching. NeurIPS 2021: 18049-18062 - [c165]Jiani Huang, Ziyang Li, Binghong Chen, Karan Samel, Mayur Naik, Le Song, Xujie Si:
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning. NeurIPS 2021: 25134-25145 - [c164]Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song:
Answering Any-hop Open-domain Questions with Iterative Document Reranking. SIGIR 2021: 481-490 - [c163]Ziyang Li, Aravind Machiry, Binghong Chen, Mayur Naik, Ke Wang, Le Song:
ARBITRAR: User-Guided API Misuse Detection. SP 2021: 1400-1415 - [c162]Libao Deng
, Le Song, Sibo Hou, Gaoji Sun:
VaCSO: A Multi-objective Collaborative Competition Particle Swarm Algorithm Based on Vector Angles. ICSI (1) 2021: 244-253 - [i111]Qingru Zhang, David Wipf, Quan Gan, Le Song:
A Biased Graph Neural Network Sampler with Near-Optimal Regret. CoRR abs/2103.01089 (2021) - [i110]James Fox, Bo Zhao, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song:
Concentric Spherical GNN for 3D Representation Learning. CoRR abs/2103.10484 (2021) - [i109]Karan Samel, Zelin Zhao, Binghong Chen, Kuan Wang, Robin Luo, Le Song:
How to Design Sample and Computationally Efficient VQA Models. CoRR abs/2103.11537 (2021) - [i108]Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino:
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. CoRR abs/2104.12282 (2021) - [i107]Lu Wang, Xiaofu Chang, Shuang Li, Yunfei Chu, Hui Li, Wei Zhang, Xiaofeng He, Le Song, Jingren Zhou, Hongxia Yang:
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning. CoRR abs/2105.07944 (2021) - [i106]Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, Le Song:
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition. CoRR abs/2105.12848 (2021) - [i105]Zelin Zhao, Karan Samel, Binghong Chen, Le Song:
ProTo: Program-Guided Transformer for Program-Guided Tasks. CoRR abs/2110.00804 (2021) - [i104]Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin:
GNN is a Counter? Revisiting GNN for Question Answering. CoRR abs/2110.03192 (2021) - [i103]Yu-Ying Liu, Alexander Moreno, Maxwell A. Xu, Shuang Li, Jena C. McDaniel, Nancy C. Brady, Agata Rozga, Fuxin Li, Le Song, James M. Rehg:
Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling. CoRR abs/2110.13998 (2021) - [i102]Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin:
RoMA: Robust Model Adaptation for Offline Model-based Optimization. CoRR abs/2110.14188 (2021) - [i101]Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song:
Multi-task Learning of Order-Consistent Causal Graphs. CoRR abs/2111.02545 (2021) - [i100]Min Zhao, Xin Guo, Le Song, Baoxing Qin, Xuesong Shi, Gim Hee Lee, Guanghui Sun:
A General Framework for Lifelong Localization and Mapping in Changing Environment. CoRR abs/2111.10946 (2021) - [i99]Shuangjia Zheng, Ying Song, Zhang Pan, Chengtao Li, Le Song, Yuedong Yang:
Molecular Attributes Transfer from Non-Parallel Data. CoRR abs/2111.15146 (2021) - [i98]Xinshi Chen, Yan Zhu, Haowen Xu, Mengyang Liu, Liang Xiong, Muhan Zhang, Le Song:
Efficient Dynamic Graph Representation Learning at Scale. CoRR abs/2112.07768 (2021) - 2020
- [j29]Yinghong Ma
, Qiaozheng Chi
, Le Song:
Revealing Structural Patterns of Patent Citation by a Two-Boundary Network Model Based on USPTO Data. IEEE Access 8: 23324-23335 (2020) - [j28]Yinghong Ma
, Zhaoxun Ji, Le Song
:
A Two-Layer Network Model Reveals the Adhesion Scientist Career Stage and Research Topic in China. IEEE Access 8: 52726-52737 (2020) - [j27]Yelong Zheng
, Hanli Zhang
, Meirong Zhao
, He Xin
, Clarence Augustine Th Tee
, Le Song
:
A Multiposition Method of Viscous Measurement for Small-Volume Samples With High Viscous. IEEE Trans. Instrum. Meas. 69(7): 4995-5001 (2020) - [c161]Jian-Ya Ding, Chao Zhang, Lei Shen, Shengyin Li, Bing Wang
, Yinghui Xu, Le Song:
Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction. AAAI 2020: 1452-1459 - [c160]Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song:
Cost-Effective Incentive Allocation via Structured Counterfactual Inference. AAAI 2020: 4997-5004 - [c159]Xujie Si, Aaditya Naik, Hanjun Dai, Mayur Naik, Le Song:
Code2Inv: A Deep Learning Framework for Program Verification. CAV (2) 2020: 151-164 - [c158]Xiaofu Chang, Xuqin Liu, Jianfeng Wen, Shuang Li, Yanming Fang, Le Song, Yuan Qi:
Continuous-Time Dynamic Graph Learning via Neural Interaction Processes. CIKM 2020: 145-154 - [c157]Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng
, Zhiding Yu, James M. Rehg, Li Xiong
, Le Song:
Regularizing Neural Networks via Minimizing Hyperspherical Energy. CVPR 2020: 6916-6925 - [c156]Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu:
Question Directed Graph Attention Network for Numerical Reasoning over Text. EMNLP (1) 2020: 6759-6768 - [c155]Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song:
RNA Secondary Structure Prediction By Learning Unrolled Algorithms. ICLR 2020 - [c154]Binghong Chen, Bo Dai, Qinjie Lin, Guo Ye, Han Liu, Le Song:
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees. ICLR 2020 - [c153]Elizabeth Dinella, Hanjun Dai, Ziyang Li, Mayur Naik, Le Song, Ke Wang:
Hoppity: Learning Graph Transformations to Detect and Fix Bugs in Programs. ICLR 2020 - [c152]Hui Li, Kailiang Hu, Shaohua Zhang, Yuan Qi, Le Song:
Double Neural Counterfactual Regret Minimization. ICLR 2020 - [c151]Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Han Liu, Le Song:
GLAD: Learning Sparse Graph Recovery. ICLR 2020 - [c150]Yuan Yang, Le Song:
Learn to Explain Efficiently via Neural Logic Inductive Learning. ICLR 2020 - [c149]Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song:
Efficient Probabilistic Logic Reasoning with Graph Neural Networks. ICLR 2020 - [c148]Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song:
Learning To Stop While Learning To Predict. ICML 2020: 1520-1530 - [c147]Binghong Chen, Chengtao Li, Hanjun Dai, Le Song:
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. ICML 2020: 1608-1616 - [c146]Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song:
Temporal Logic Point Processes. ICML 2020: 5990-6000 - [c145]Xuesong Shi, Dongjiang Li, Pengpeng Zhao, Qinbin Tian, Yuxin Tian, Qiwei Long, Chunhao Zhu, Jingwei Song, Fei Qiao, Le Song, Yangquan Guo, Zhigang Wang, Yimin Zhang, Baoxing Qin, Wei Yang, Fangshi Wang, Rosa H. M. Chan, Qi She:
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. ICRA 2020: 3139-3145 - [c144]Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song:
Understanding Deep Architecture with Reasoning Layer. NeurIPS 2020 - [c143]Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi:
Bandit Samplers for Training Graph Neural Networks. NeurIPS 2020 - [c142]Yingxiang Yang, Negar Kiyavash, Le Song, Niao He:
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models. NeurIPS 2020 - [c141]Ping Nie, Yuyu Zhang, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang
:
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. SIGIR 2020: 1829-1832 - [i97]Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song:
Retrosynthesis Prediction with Conditional Graph Logic Network. CoRR abs/2001.01408 (2020) - [i96]Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song:
Efficient Probabilistic Logic Reasoning with Graph Neural Networks. CoRR abs/2001.11850 (2020) - [i95]Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song:
RNA Secondary Structure Prediction By Learning Unrolled Algorithms. CoRR abs/2002.05810 (2020) - [i94]Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song:
Heterogeneous Graph Neural Networks for Malicious Account Detection. CoRR abs/2002.12307 (2020) - [i93]