Shuiwang Ji

323 papers A* 99A 12B 1Misc 2Journal 199Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Augmenting Molecular Graphs with Geometries via Machine Learning Interatomic Potentials.
Trans. Mach. Learn. Res.
Cong Fu, Yuchao Lin, Zachary Krueger, Haiyang Yu, Maho Nakata, Jianwen Xie, Emine Küçükbenli, Xiaofeng Qian, Shuiwang Ji
2026 J jnl
Orbital Transformers for Predicting Wavefunctions in Time-Dependent Density Functional Theory.
CoRR
Xuan Zhang, Haiyang Yu, Chengdong Wang, Jacob Helwig, Shuiwang Ji, Xiaofeng Qian
2025 J jnl
A Materials Foundation Model via Hybrid Invariant-Equivariant Architectures.
CoRR
Keqiang Yan, Montgomery Bohde, Andrii Kryvenko, Ziyu Xiang, Kaiji Zhao, Siya Zhu, Saagar Kolachina, Doguhan Saritürk, Jianwen Xie, Raymundo Arróyave, Xiaoning Qian, Xiaofeng Qian, Shuiwang Ji
2025 J jnl
A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling.
CoRR
Jacob Helwig, Sai Sreeharsha Adavi, Xuan Zhang, Yuchao Lin, Felix S. Chim, Luke Takeshi Vizzini, Haiyang Yu, Muhammad Hasnain, Saykat Kumar Biswas, John J. Holloway, Narendra Singh, N. K. Anand, Swagnik Guhathakurta, Shuiwang Ji
2025 J jnl
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
Found. Trends Mach. Learn.
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
2025 J jnl
Augmenting Molecular Graphs with Geometries via Machine Learning Interatomic Potentials.
CoRR
Cong Fu, Yuchao Lin, Zachary Krueger, Haiyang Yu, Maho Nakata, Jianwen Xie, Emine Küçükbenli, Xiaofeng Qian, Shuiwang Ji
2025 J jnl
Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics.
CoRR
Lianhao Zhou, Hongyi Ling, Cong Fu, Yepeng Huang, Michael Sun, Wendi Yu, Xiaoxuan Wang, Xiner Li, Xingyu Su, Junkai Zhang, Xiusi Chen, Chenxing Liang, Xiaofeng Qian, Heng Ji, Wei Wang, Marinka Zitnik, Shuiwang Ji
2025 J jnl
Complex LLM Planning via Automated Heuristics Discovery.
CoRR
Hongyi Ling, Shubham Parashar, Sambhav Khurana, Blake Olson, Anwesha Basu, Gaurangi Sinha, Zhengzhong Tu, James Caverlee, Shuiwang Ji
2025 J jnl
Counterfactual Fairness on Graphs: Augmentations, Hidden Confounders, and Identifiability.
Trans. Mach. Learn. Res.
Hongyi Ling, Zhimeng Jiang, Na Zou, Shuiwang Ji
2025 J jnl
Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning.
CoRR
Shubham Parashar, Shurui Gui, Xiner Li, Hongyi Ling, Sushil Vemuri, Blake Olson, Eric Li, Yu Zhang, James Caverlee, Dileep Kalathil, Shuiwang Ji
2025 A* conf
DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra.
ICML
Montgomery Bohde, Mrunali Manjrekar, Runzhong Wang, Shuiwang Ji, Connor W. Coley
2025 J jnl
DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra.
CoRR
Montgomery Bohde, Mrunali Manjrekar, Runzhong Wang, Shuiwang Ji, Connor W. Coley
2025 A* conf
Discovering Physics Laws of Dynamical Systems via Invariant Function Learning.
ICML
Shurui Gui, Xiner Li, Shuiwang Ji
2025 J jnl
Discovering Physics Laws of Dynamical Systems via Invariant Function Learning.
CoRR
Shurui Gui, Xiner Li, Shuiwang Ji
2025 J jnl
Dynamic Search for Inference-Time Alignment in Diffusion Models.
CoRR
Xiner Li, Masatoshi Uehara, Xingyu Su, Gabriele Scalia, Tommaso Biancalani, Aviv Regev, Sergey Levine, Shuiwang Ji
2025 — conf
EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association.
ACL (1)
Weiqi Wang, Limeng Cui, Xin Liu, Sreyashi Nag, Wenju Xu, Chen Luo, Sheikh Muhammad Sarwar, Yang Li, Hansu Gu, Hui Liu, Changlong Yu, Jiaxin Bai, Yifan Gao, Haiyang Zhang, Qi He, Shuiwang Ji, Yangqiu Song
2025 J jnl
EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association.
CoRR
Weiqi Wang, Limeng Cui, Xin Liu, Sreyashi Nag, Wenju Xu, Chen Luo, Sheikh Muhammad Sarwar, Yang Li, Hansu Gu, Hui Liu, Changlong Yu, Jiaxin Bai, Yifan Gao, Haiyang Zhang, Qi He, Shuiwang Ji, Yangqiu Song
2025 J jnl
Efficient Prediction of SO(3)-Equivariant Hamiltonian Matrices via SO(2) Local Frames.
CoRR
Haiyang Yu, Yuchao Lin, Xuan Zhang, Xiaofeng Qian, Shuiwang Ji
2025 A* conf
Eliminating Position Bias of Language Models: A Mechanistic Approach.
ICLR
Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji
2025 A* conf
Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models.
ICLR
Cong Fu, Xiner Li, Blake Olson, Heng Ji, Shuiwang Ji
2025 J jnl
Generative AI for Autonomous Driving: Frontiers and Opportunities.
CoRR
Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Zhaohan Lu, Chia-Ju Chen, Yue Huang, Ryan A. Rossi, Lichao Sun, Hongkai Yu, Zhiwen Fan, Hao (Frank) Yang, Yuhao Kang, Ross Greer, Chenxi Liu, Eun Hak Lee, Xuan Di, Xinyue Ye, Liu Ren, Alois Knoll, Xiaopeng Li, Shuiwang Ji, Masayoshi Tomizuka, Marco Pavone, Laurence Tianruo Yang, Jing Du, Ming-Hsuan Yang, Hua Wei, Ziran Wang, Yang Zhou, Jiachen Li, Zhengzhong Tu
2025 A* conf
Geometry Informed Tokenization of Molecules for Language Model Generation.
ICML
Xiner Li, Limei Wang, Youzhi Luo, Carl Edwards, Shurui Gui, Yuchao Lin, Heng Ji, Shuiwang Ji
2025 J jnl
Hierarchical Language Model Design For Interpretable Graph Reasoning.
Trans. Mach. Learn. Res.
Sambhav Khurana, Xiner Li, Shurui Gui, Shuiwang Ji
2025 J jnl
Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights.
CoRR
Shubham Parashar, Blake Olson, Sambhav Khurana, Eric Li, Hongyi Ling, James Caverlee, Shuiwang Ji
2025 J jnl
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation.
CoRR
Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arróyave, Marinka Zitnik, Heng Ji, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2025 J jnl
Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design.
CoRR
Xingyu Su, Xiner Li, Masatoshi Uehara, Sunwoo Kim, Yulai Zhao, Gabriele Scalia, Ehsan Hajiramezanali, Tommaso Biancalani, Degui Zhi, Shuiwang Ji
2025 J jnl
Language Models for Controllable DNA Sequence Design.
CoRR
Xingyu Su, Xiner Li, Yuchao Lin, Ziqian Xie, Degui Zhi, Shuiwang Ji
2025 J jnl
Language Models for Controllable DNA Sequence Design.
Trans. Mach. Learn. Res.
Xingyu Su, Xiner Li, Yuchao Lin, Ziqian Xie, Degui Zhi, Shuiwang Ji
2025 A* conf
Learning to Discover Regulatory Elements for Gene Expression Prediction.
ICLR
Xingyu Su, Haiyang Yu, Degui Zhi, Shuiwang Ji
2025 J jnl
Learning to Discover Regulatory Elements for Gene Expression Prediction.
CoRR
Xingyu Su, Haiyang Yu, Degui Zhi, Shuiwang Ji
2025 J jnl
Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training.
CoRR
Shurui Gui, Shuiwang Ji
2025 J jnl
NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis.
CoRR
Mouadh Yagoubi, David Danan, Milad Leyli-Abadi, Jocelyn Ahmed Mazari, Jean-Patrick Brunet, Abbas Kabalan, Fabien Casenave, Yuxin Ma, Giovanni Catalani, Jean Fesquet, Jacob Helwig, Xuan Zhang, Haiyang Yu, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier, Shuiwang Ji
2025 A* conf
On Explaining Equivariant Graph Networks via Improved Relevance Propagation.
ICML
Hongyi Ling, Haiyang Yu, Zhimeng Jiang, Na Zou, Shuiwang Ji
2025 — conf
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning.
ACL (Findings)
Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025 J jnl
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning.
CoRR
Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025 A* conf
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design.
ICML
Masatoshi Uehara, Xingyu Su, Yulai Zhao, Xiner Li, Aviv Regev, Shuiwang Ji, Sergey Levine, Tommaso Biancalani
2025 J jnl
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design.
CoRR
Masatoshi Uehara, Xingyu Su, Yulai Zhao, Xiner Li, Aviv Regev, Shuiwang Ji, Sergey Levine, Tommaso Biancalani
2025 B conf
Staleness-Based Subgraph Sampling for Training GNNs on Large-Scale Graphs.
IEEE Big Data
Limei Wang, Si Zhang, Hanqing Zeng, Hao Wu, Zhigang Hua, Kaveh Hassani, Andrey Malevich, Bo Long, Shuiwang Ji
2025 J jnl
Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations.
CoRR
Yuchao Lin, Cong Fu, Zachary Krueger, Haiyang Yu, Maho Nakata, Jianwen Xie, Emine Küçükbenli, Xiaofeng Qian, Shuiwang Ji
2025 J jnl
Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists.
CoRR
Lianhao Zhou, Hongyi Ling, Keqiang Yan, Kaiji Zhao, Xiaoning Qian, Raymundo Arróyave, Xiaofeng Qian, Shuiwang Ji
2025 J jnl
Towards Precision Protein-Ligand Affinity Prediction Benchmark: A Complete and Modification-Aware DAVIS Dataset.
CoRR
Ming-Hsiu Wu, Ziqian Xie, Shuiwang Ji, Degui Zhi
2024 A conf
3D Molecular Geometry Analysis with 2D Graphs.
SDM
Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
2024 A* conf
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery.
EMNLP
Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han
2024 J jnl
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery.
CoRR
Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han
2024 J jnl
A Geometry-Aware Message Passing Neural Network for Modeling Aerodynamics over Airfoils.
CoRR
Jacob Helwig, Xuan Zhang, Haiyang Yu, Shuiwang Ji
2024 J jnl
A Hierarchical Language Model For Interpretable Graph Reasoning.
CoRR
Sambhav Khurana, Xiner Li, Shurui Gui, Shuiwang Ji
2024 A* conf
A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction.
ICML
Keqiang Yan, Alexandra Saxton, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2024 J jnl
A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction.
CoRR
Keqiang Yan, Alexandra Saxton, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2024 A* conf
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm.
ICLR
Shurui Gui, Xiner Li, Shuiwang Ji
2024 J jnl
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm.
CoRR
Shurui Gui, Xiner Li, Shuiwang Ji
2024 A* conf
Complete and Efficient Graph Transformers for Crystal Material Property Prediction.
ICLR
Keqiang Yan, Cong Fu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2024 J jnl
Complete and Efficient Graph Transformers for Crystal Material Property Prediction.
CoRR
Keqiang Yan, Cong Fu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2024 J jnl
Eliminating Position Bias of Language Models: A Mechanistic Approach.
CoRR
Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji
2024 J jnl
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm.
Trans. Mach. Learn. Res.
Meng Liu, Haiyang Yu, Shuiwang Ji
2024 A* conf
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
ICML
Yuchao Lin, Jacob Helwig, Shurui Gui, Shuiwang Ji
2024 J jnl
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
CoRR
Yuchao Lin, Jacob Helwig, Shurui Gui, Shuiwang Ji
2024 J jnl
Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction.
CoRR
Zhao Xu, Haiyang Yu, Montgomery Bohde, Shuiwang Ji
2024 J jnl
Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction.
Trans. Mach. Learn. Res.
Zhao Xu, Haiyang Yu, Montgomery Bohde, Shuiwang Ji
2024 J jnl
FlowX: Towards Explainable Graph Neural Networks via Message Flows.
IEEE Trans. Pattern Anal. Mach. Intell.
Shurui Gui, Hao Yuan, Jie Wang, Qicheng Lao, Kang Li, Shuiwang Ji
2024 J jnl
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies.
Trans. Mach. Learn. Res.
Yaochen Xie, Ziqian Xie, Sheikh Muhammad Saiful Islam, Degui Zhi, Shuiwang Ji
2024 J jnl
Geometry Informed Tokenization of Molecules for Language Model Generation.
CoRR
Xiner Li, Limei Wang, Youzhi Luo, Carl Edwards, Shurui Gui, Yuchao Lin, Heng Ji, Shuiwang Ji
2024 A* conf
Graph Structure Extrapolation for Out-of-Distribution Generalization.
ICML
Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji
2024 A* conf
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation.
NeurIPS
Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arróyave, Marinka Zitnik, Heng Ji, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2024 A conf
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems.
SDM
Cong Fu, Xuan Zhang, Huixin Zhang, Hongyi Ling, Shenglong Xu, Shuiwang Ji
2024 A* conf
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods.
ICLR
Montgomery Bohde, Meng Liu, Alexandra Saxton, Shuiwang Ji
2024 J jnl
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods.
CoRR
Montgomery Bohde, Meng Liu, Alexandra Saxton, Shuiwang Ji
2024 J jnl
Political-LLM: Large Language Models in Political Science.
CoRR
Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
2024 A* conf
Position: TrustLLM: Trustworthiness in Large Language Models.
ICML
Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024 A* conf
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations.
ICLR
Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji
2024 J jnl
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations.
CoRR
Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji
2024 J jnl
TrustLLM: Trustworthiness in Large Language Models.
CoRR
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
2023 J jnl
3D Molecular Geometry Analysis with 2D Graphs.
CoRR
Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
2023 — conf
A Latent Diffusion Model for Protein Structure Generation.
LoG
Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji
2023 J jnl
A Latent Diffusion Model for Protein Structure Generation.
CoRR
Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji
2023 J jnl
A Score-Based Model for Learning Neural Wavefunctions.
CoRR
Xuan Zhang, Shenglong Xu, Shuiwang Ji
2023 A* conf
A new perspective on building efficient and expressive 3D equivariant graph neural networks.
NeurIPS
Weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla P. Gomes, Zhi-Ming Ma
2023 J jnl
A new perspective on building efficient and expressive 3D equivariant graph neural networks.
CoRR
Weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla Gomes, Zhi-Ming Ma
2023 J jnl
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
CoRR
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
2023 A* conf
Automated Data Augmentations for Graph Classification.
ICLR
Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
2023 J jnl
Deep Low-Shot Learning for Biological Image Classification and Visualization From Limited Training Samples.
IEEE Trans. Neural Networks Learn. Syst.
Lei Cai, Zhengyang Wang, Rob Kulathinal, Sudhir Kumar, Shuiwang Ji
2023 J jnl
Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings.
IEEE Trans. Pattern Anal. Mach. Intell.
Jie Wang, Zhanqiu Zhang, Zhihao Shi, Jianyu Cai, Shuiwang Ji, Feng Wu
2023 A* conf
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction.
ICML
Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji
2023 J jnl
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction.
CoRR
Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji
2023 A* conf
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian.
ICML
Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2023 J jnl
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian.
CoRR
Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2023 J jnl
Explainability in Graph Neural Networks: A Taxonomic Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Yuan, Haiyang Yu, Shurui Gui, Shuiwang Ji
2023 J jnl
Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution.
CoRR
Jie Wang, Rui Yang, Zijie Geng, Zhihao Shi, Mingxuan Ye, Qi Zhou, Shuiwang Ji, Bin Li, Yongdong Zhang, Feng Wu
2023 J jnl
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies.
CoRR
Yaochen Xie, Ziqian Xie, Sheikh Muhammad Saiful Islam, Degui Zhi, Shuiwang Ji
2023 A* conf
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models.
ICLR
Meng Liu, Haoran Liu, Shuiwang Ji
2023 A* conf
Graph Mixup with Soft Alignments.
ICML
Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou
2023 J jnl
Graph Mixup with Soft Alignments.
CoRR
Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou
2023 J jnl
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization.
CoRR
Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji
2023 A* conf
Graph and Geometry Generative Modeling for Drug Discovery.
KDD
Minkai Xu, Meng Liu, Wengong Jin, Shuiwang Ji, Jure Leskovec, Stefano Ermon
2023 J jnl
Group Contrastive Self-Supervised Learning on Graphs.
IEEE Trans. Pattern Anal. Mach. Intell.
Xinyi Xu, Cheng Deng, Yaochen Xie, Shuiwang Ji
2023 A* conf
Group Equivariant Fourier Neural Operators for Partial Differential Equations.
ICML
Jacob Helwig, Xuan Zhang, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji
2023 J jnl
Group Equivariant Fourier Neural Operators for Partial Differential Equations.
CoRR
Jacob Helwig, Xuan Zhang, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji
2023 A* conf
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization.
NeurIPS
Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji
2023 J jnl
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization.
CoRR
Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji
2023 A* conf
Learning Fair Graph Representations via Automated Data Augmentations.
ICLR
Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou
2023 A* conf
Learning Hierarchical Protein Representations via Complete 3D Graph Networks.
ICLR
Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji
2023 J jnl
Provably Convergent Subgraph-wise Sampling for Fast GNN Training.
CoRR
Jie Wang, Zhihao Shi, Xize Liang, Shuiwang Ji, Bin Li, Feng Wu
2023 A* conf
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules.
NeurIPS
Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2023 J jnl
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules.
CoRR
Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2023 J jnl
Second-Order Pooling for Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhengyang Wang, Shuiwang Ji
2023 J jnl
Self-Supervised Learning of Graph Neural Networks: A Unified Review.
IEEE Trans. Pattern Anal. Mach. Intell.
Yaochen Xie, Zhao Xu, Jingtun Zhang, Zhengyang Wang, Shuiwang Ji
2023 — conf
Semi-Supervised Learning for High-Fidelity Fluid Flow Reconstruction.
LoG
Cong Fu, Jacob Helwig, Shuiwang Ji
2023 J jnl
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping.
IEEE Trans. Pattern Anal. Mach. Intell.
Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji
2023 A* conf
Towards Symmetry-Aware Generation of Periodic Materials.
NeurIPS
Youzhi Luo, Chengkai Liu, Shuiwang Ji
2023 J jnl
Towards Symmetry-Aware Generation of Periodic Materials.
CoRR
Youzhi Luo, Chengkai Liu, Shuiwang Ji
2023 A* conf
Video Timeline Modeling For News Story Understanding.
NeurIPS
Meng Liu, Mingda Zhang, Jialu Liu, Hanjun Dai, Ming-Hsuan Yang, Shuiwang Ji, Zheyun Feng, Boqing Gong
2023 J jnl
Video Timeline Modeling For News Story Understanding.
CoRR
Meng Liu, Mingda Zhang, Jialu Liu, Hanjun Dai, Ming-Hsuan Yang, Shuiwang Ji, Zheyun Feng, Boqing Gong
2022 J jnl
Advanced graph and sequence neural networks for molecular property prediction and drug discovery.
Bioinform.
Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Qi Qi, Zhuoning Yuan, Tianbao Yang, Shuiwang Ji
2022 A* conf
An Autoregressive Flow Model for 3D Molecular Geometry Generation from Scratch.
ICLR
Youzhi Luo, Shuiwang Ji
2022 J jnl
Augmented Equivariant Attention Networks for Microscopy Image Transformation.
IEEE Trans. Medical Imaging
Yaochen Xie, Yu Ding, Shuiwang Ji
2022 J jnl
Automated Data Augmentations for Graph Classification.
CoRR
Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
2022 A* conf
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs.
NeurIPS
Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji
2022 J jnl
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs.
CoRR
Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji
2022 J jnl
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding.
CoRR
Haitao Lin, Yufei Huang, Meng Liu, Xuanjing Li, Shuiwang Ji, Stan Z. Li
2022 J jnl
Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings.
CoRR
Jie Wang, Zhanqiu Zhang, Zhihao Shi, Jianyu Cai, Shuiwang Ji, Feng Wu
2022 J jnl
FlowX: Towards Explainable Graph Neural Networks via Message Flows.
CoRR
Shurui Gui, Hao Yuan, Jie Wang, Qicheng Lao, Kang Li, Shuiwang Ji
2022 A* conf
Frontiers of Graph Neural Networks with DIG.
KDD
Shuiwang Ji, Meng Liu, Yi Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Zhao Xu, Haiyang Yu
2022 A* conf
GOOD: A Graph Out-of-Distribution Benchmark.
NeurIPS
Shurui Gui, Xiner Li, Limei Wang, Shuiwang Ji
2022 J jnl
GOOD: A Graph Out-of-Distribution Benchmark.
CoRR
Shurui Gui, Xiner Li, Limei Wang, Shuiwang Ji
2022 A* conf
Generating 3D Molecules for Target Protein Binding.
ICML
Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
2022 J jnl
Generating 3D Molecules for Target Protein Binding.
CoRR
Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
2022 J jnl
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models.
CoRR
Meng Liu, Haoran Liu, Shuiwang Ji
2022 J jnl
Graph U-Nets.
IEEE Trans. Pattern Anal. Mach. Intell.
Hongyang Gao, Shuiwang Ji
2022 A* conf
GraphFM: Improving Large-Scale GNN Training via Feature Momentum.
ICML
Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji
2022 J jnl
GraphFM: Improving Large-Scale GNN Training via Feature Momentum.
CoRR
Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji
2022 J jnl
Interpreting Image Classifiers by Generating Discrete Masks.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Yuan, Lei Cai, Xia Hu, Jie Wang, Shuiwang Ji
2022 J jnl
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems.
CoRR
Cong Fu, Xuan Zhang, Huixin Zhang, Hongyi Ling, Shenglong Xu, Shuiwang Ji
2022 J jnl
Learning Protein Representations via Complete 3D Graph Networks.
CoRR
Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji
2022 A* conf
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions.
KDD
Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu
2022 J jnl
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions.
CoRR
Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu
2022 J jnl
Line Graph Neural Networks for Link Prediction.
IEEE Trans. Pattern Anal. Mach. Intell.
Lei Cai, Jundong Li, Jie Wang, Shuiwang Ji
2022 A conf
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences.
SDM
Meng Liu, Shuiwang Ji
2022 J jnl
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences.
CoRR
Meng Liu, Shuiwang Ji
2022 J jnl
Non-Local Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Meng Liu, Zhengyang Wang, Shuiwang Ji
2022 A* conf
Periodic Graph Transformers for Crystal Material Property Prediction.
NeurIPS
Keqiang Yan, Yi Liu, Yuchao Lin, Shuiwang Ji
2022 J jnl
Periodic Graph Transformers for Crystal Material Property Prediction.
CoRR
Keqiang Yan, Yi Liu, Yuchao Lin, Shuiwang Ji
2022 J jnl
Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification.
CoRR
Xueliang Wang, Jianyu Cai, Shuiwang Ji, Houqiang Li, Feng Wu, Jie Wang
2022 A* conf
Self-Supervised Representation Learning via Latent Graph Prediction.
ICML
Yaochen Xie, Zhao Xu, Shuiwang Ji
2022 J jnl
Self-Supervised Representation Learning via Latent Graph Prediction.
CoRR
Yaochen Xie, Zhao Xu, Shuiwang Ji
2022 A* conf
Spherical Message Passing for 3D Molecular Graphs.
ICLR
Yi Liu, Limei Wang, Meng Liu, Yuchao Lin, Xuan Zhang, Bora Oztekin, Shuiwang Ji
2022 A* conf
Task-Agnostic Graph Explanations.
NeurIPS
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
2022 J jnl
Task-Agnostic Graph Explanations.
CoRR
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
2022 J jnl
Your Neighbors Are Communicating: Towards Powerful and Scalable Graph Neural Networks.
CoRR
Meng Liu, Haiyang Yu, Shuiwang Ji
2021 J jnl
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis.
CoRR
Yi Liu, Shuiwang Ji
2021 A conf
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter.
CIKM
Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
2021 J jnl
Adversarial Graph Disentanglement.
CoRR
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Shuiwang Ji, Yao Zhao
2021 J jnl
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions.
IEEE Trans. Pattern Anal. Mach. Intell.
Hongyang Gao, Zhengyang Wang, Lei Cai, Shuiwang Ji
2021 J jnl
CleftNet: Augmented Deep Learning for Synaptic Cleft Detection From Brain Electron Microscopy.
IEEE Trans. Medical Imaging
Yi Liu, Shuiwang Ji
2021 J jnl
CleftNet: Augmented Deep Learning for Synaptic Cleft Detection from Brain Electron Microscopy.
CoRR
Yi Liu, Shuiwang Ji
2021 A* conf
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs.
NeurIPS
Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, Feng Wu
2021 J jnl
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs.
CoRR
Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, Feng Wu
2021 J jnl
DIG: A Turnkey Library for Diving into Graph Deep Learning Research.
CoRR
Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Zhao Xu, Haiyang Yu, Jingtun Zhang, Yi Liu, Keqiang Yan, Bora Oztekin, Haoran Liu, Xuan Zhang, Cong Fu, Shuiwang Ji
2021 J jnl
DIG: A Turnkey Library for Diving into Graph Deep Learning Research.
J. Mach. Learn. Res.
Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Haiyang Yu, Zhao Xu, Jingtun Zhang, Yi Liu, Keqiang Yan, Haoran Liu, Cong Fu, Bora Oztekin, Xuan Zhang, Shuiwang Ji
2021 J jnl
Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks.
CoRR
Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji
2021 J jnl
Global voxel transformer networks for augmented microscopy.
Nat. Mach. Intell.
Zhengyang Wang, Yaochen Xie, Shuiwang Ji
2021 Misc conf
Graph Based Machine Learning for Healthcare: State of the Art, Challenges, and Opportunities.
AMIA
Yuan Luo, Fei Wang, Marinka Zitnik, Shuiwang Ji
2021 J jnl
Graph Neural Networks with Adaptive Frequency Response Filter.
CoRR
Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
2021 A* conf
GraphDF: A Discrete Flow Model for Molecular Graph Generation.
ICML
Youzhi Luo, Keqiang Yan, Shuiwang Ji
2021 J jnl
GraphDF: A Discrete Flow Model for Molecular Graph Generation.
CoRR
Youzhi Luo, Keqiang Yan, Shuiwang Ji
2021 J jnl
GraphEBM: Molecular Graph Generation with Energy-Based Models.
CoRR
Meng Liu, Keqiang Yan, Bora Oztekin, Shuiwang Ji
2021 J jnl
Group Contrastive Self-Supervised Learning on Graphs.
CoRR
Xinyi Xu, Cheng Deng, Yaochen Xie, Shuiwang Ji
2021 A conf
Machine Learning Explanations to Prevent Overtrust in Fake News Detection.
ICWSM
Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan
2021 J jnl
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs.
CoRR
Zhao Xu, Youzhi Luo, Xuan Zhang, Xinyi Xu, Yaochen Xie, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
2021 J jnl
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks.
CoRR
Hao Yuan, Shuiwang Ji
2021 A* conf
On Explainability of Graph Neural Networks via Subgraph Explorations.
ICML
Hao Yuan, Haiyang Yu, Jie Wang, Kang Li, Shuiwang Ji
2021 J jnl
On Explainability of Graph Neural Networks via Subgraph Explorations.
CoRR
Hao Yuan, Haiyang Yu, Jie Wang, Kang Li, Shuiwang Ji
2021 J jnl
Self-Supervised Learning of Graph Neural Networks: A Unified Review.
CoRR
Yaochen Xie, Zhao Xu, Zhengyang Wang, Shuiwang Ji
2021 J jnl
Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence.
CoRR
Hongyang Gao, Yi Liu, Xuan Zhang, Shuiwang Ji
2021 J jnl
Smoothed dilated convolutions for improved dense prediction.
Data Min. Knowl. Discov.
Zhengyang Wang, Shuiwang Ji
2021 J jnl
Spherical Message Passing for 3D Graph Networks.
CoRR
Yi Liu, Limei Wang, Meng Liu, Xuan Zhang, Bora Oztekin, Shuiwang Ji
2021 J jnl
Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence.
CoRR
Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang
2021 A* conf
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence.
NeurIPS
Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang
2021 J jnl
Topology-Aware Graph Pooling Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Hongyang Gao, Yi Liu, Shuiwang Ji
2020 A* conf
A Multi-Scale Approach for Graph Link Prediction.
AAAI
Lei Cai, Shuiwang Ji
2020 A* conf
Adaptive Convolutional ReLUs.
AAAI
Hongyang Gao, Lei Cai, Shuiwang Ji
2020 J jnl
Adversarial Attacks and Defenses on Graphs.
SIGKDD Explor.
Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang
2020 J jnl
Augmented Equivariant Attention Networks for Electron Microscopy Image Super-Resolution.
CoRR
Yaochen Xie, Yu Ding, Shuiwang Ji
2020 A* conf
Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis.
ICDM
Hanzi Mao, Xi Liu, Nick Duffield, Hao Yuan, Shuiwang Ji, Binayak P. Mohanty
2020 A* conf
CorDEL: A Contrastive Deep Learning Approach for Entity Linkage.
ICDM
Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji
2020 J jnl
CorDEL: A Contrastive Deep Learning Approach for Entity Linkage.
CoRR
Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji
2020 A* conf
Deep Learning of High-Order Interactions for Protein Interface Prediction.
KDD
Yi Liu, Hao Yuan, Lei Cai, Shuiwang Ji
2020 J jnl
Deep Learning of High-Order Interactions for Protein Interface Prediction.
CoRR
Yi Liu, Hao Yuan, Lei Cai, Shuiwang Ji
2020 J jnl
Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training Samples.
CoRR
Lei Cai, Zhengyang Wang, Rob Kulathinal, Sudhir Kumar, Shuiwang Ji
2020 J jnl
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis.
IEEE Trans. Big Data
Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji
2020 A conf
Deep Neural Networks with Knowledge Instillation.
SDM
Fan Yang, Ninghao Liu, Mengnan Du, Kaixiong Zhou, Shuiwang Ji, Xia Hu
2020 J jnl
Explainability in Graph Neural Networks: A Taxonomic Survey.
CoRR
Hao Yuan, Haiyang Yu, Shurui Gui, Shuiwang Ji
2020 J jnl
Global Pixel Transformers for Virtual Staining of Microscopy Images.
IEEE Trans. Medical Imaging
Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji
2020 J jnl
Global Voxel Transformer Networks for Augmented Microscopy.
CoRR
Zhengyang Wang, Yaochen Xie, Shuiwang Ji
2020 A* conf
Kronecker Attention Networks.
KDD
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
2020 J jnl
Kronecker Attention Networks.
CoRR
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
2020 J jnl
Line Graph Neural Networks for Link Prediction.
CoRR
Lei Cai, Jundong Li, Jie Wang, Shuiwang Ji
2020 J jnl
Machine Learning Explanations to Prevent Overtrust in Fake News Detection.
CoRR
Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan
2020 J jnl
MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery.
CoRR
Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Shuiwang Ji
2020 A* conf
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising.
NeurIPS
Yaochen Xie, Zhengyang Wang, Shuiwang Ji
2020 J jnl
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising.
CoRR
Yaochen Xie, Zhengyang Wang, Shuiwang Ji
2020 J jnl
Non-Local Graph Neural Networks.
CoRR
Meng Liu, Zhengyang Wang, Shuiwang Ji
2020 A* conf
Non-Local U-Nets for Biomedical Image Segmentation.
AAAI
Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji
2020 J jnl
Pixel Transposed Convolutional Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Hongyang Gao, Hao Yuan, Zhengyang Wang, Shuiwang Ji
2020 J jnl
Second-Order Pooling for Graph Neural Networks.
CoRR
Zhengyang Wang, Shuiwang Ji
2020 A* conf
StructPool: Structured Graph Pooling via Conditional Random Fields.
ICLR
Hao Yuan, Shuiwang Ji
2020 J jnl
Topology-Aware Graph Pooling Networks.
CoRR
Hongyang Gao, Yi Liu, Shuiwang Ji
2020 A* conf
Towards Deeper Graph Neural Networks.
KDD
Meng Liu, Hongyang Gao, Shuiwang Ji
2020 J jnl
Towards Deeper Graph Neural Networks.
CoRR
Meng Liu, Hongyang Gao, Shuiwang Ji
2020 J jnl
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping.
CoRR
Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji
2020 A* conf
XGNN: Towards Model-Level Explanations of Graph Neural Networks.
KDD
Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji
2020 J jnl
XGNN: Towards Model-Level Explanations of Graph Neural Networks.
CoRR
Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji
2020 J jnl
iCapsNets: Towards Interpretable Capsule Networks for Text Classification.
CoRR
Zhengyang Wang, Xia Hu, Shuiwang Ji
2019 J jnl
A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yujie Feng, Fan Yang, Xichuan Zhou, Yanli Guo, Fang Tang, Fengbo Ren, Jishun Guo, Shuiwang Ji
2019 J jnl
A deep transfer learning approach for improved post-traumatic stress disorder diagnosis.
Knowl. Inf. Syst.
Debrup Banerjee, Kazi Aminul Islam, Keyi Xue, Gang Mei, Lemin Xiao, Guangfan Zhang, Roger Xu, Cai Lei, Shuiwang Ji, Jiang Li
2019 A* conf
An Efficient Policy Gradient Method for Conditional Dialogue Generation.
ICDM
Lei Cai, Shuiwang Ji
2019 — conf
An Interpretable Neural Model with Interactive Stepwise Influence.
PAKDD (3)
Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, Xia Hu
2019 J jnl
Computational modeling of cellular structures using conditional deep generative networks.
Bioinform.
Hao Yuan, Lei Cai, Zhengyang Wang, Xia Hu, Shaoting Zhang, Shuiwang Ji
2019 A* conf
Dense Transformer Networks for Brain Electron Microscopy Image Segmentation.
IJCAI
Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji
2019 J jnl
Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images.
CoRR
Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji
2019 A* conf
Graph Representation Learning via Hard and Channel-Wise Attention Networks.
KDD
Hongyang Gao, Shuiwang Ji
2019 J jnl
Graph Representation Learning via Hard and Channel-Wise Attention Networks.
CoRR
Hongyang Gao, Shuiwang Ji
2019 A* conf
Graph U-Nets.
ICML
Hongyang Gao, Shuiwang Ji
2019 J jnl
Graph U-Nets.
CoRR
Hongyang Gao, Shuiwang Ji
2019 A* conf
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods.
AAAI
Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji
2019 A* conf
Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations.
WWW
Hongyang Gao, Yongjun Chen, Shuiwang Ji
2019 J jnl
Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations.
CoRR
Hongyang Gao, Yongjun Chen, Shuiwang Ji
2019 A* conf
Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction.
ICDM
Hao Yuan, Na Zou, Shaoting Zhang, Hanchuan Peng, Shuiwang Ji
2019 A* conf
Learning Local and Global Multi-context Representations for Document Classification.
ICDM
Yi Liu, Hao Yuan, Shuiwang Ji
2019 A conf
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation.
SDM
Lei Cai, Hongyang Gao, Shuiwang Ji
2019 A* conf
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition.
WWW
Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu
2019 J jnl
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition.
CoRR
Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu
2019 A conf
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions.
SDM
Zhengyang Wang, Hao Yuan, Shuiwang Ji
2019 A* conf
XFake: Explainable Fake News Detector with Visualizations.
WWW
Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia (Ben) Hu
2019 J jnl
XFake: Explainable Fake News Detector with Visualizations.
CoRR
Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia (Ben) Hu
2018 A* conf
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions.
NeurIPS
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
2018 J jnl
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions.
CoRR
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
2018 A* conf
Deep Adversarial Learning for Multi-Modality Missing Data Completion.
KDD
Lei Cai, Zhengyang Wang, Hongyang Gao, Dinggang Shen, Shuiwang Ji
2018 J jnl
Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation.
CoRR
Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji
2018 A* conf
Large-Scale Learnable Graph Convolutional Networks.
KDD
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
2018 J jnl
Large-Scale Learnable Graph Convolutional Networks.
CoRR
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
2018 J jnl
Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality.
Neuroinformatics
Zhongyu Li, Erik Butler, Kang Li, Aidong Lu, Shuiwang Ji, Shaoting Zhang
2018 A conf
Learning Convolutional Text Representations for Visual Question Answering.
SDM
Zhengyang Wang, Shuiwang Ji
2018 J jnl
Multi-View Missing Data Completion.
IEEE Trans. Knowl. Data Eng.
Lei Zhang, Yao Zhao, Zhenfeng Zhu, Dinggang Shen, Shuiwang Ji
2018 J jnl
Neuronal Activities in the Mouse Visual Cortex Predict Patterns of Sensory Stimuli.
Neuroinformatics
Lei Cai, Bian Wu, Shuiwang Ji
2018 A* conf
Smoothed Dilated Convolutions for Improved Dense Prediction.
KDD
Zhengyang Wang, Shuiwang Ji
2018 J jnl
Smoothed Dilated Convolutions for Improved Dense Prediction.
CoRR
Zhengyang Wang, Shuiwang Ji
2018 A* conf
Voxel Deconvolutional Networks for 3D Brain Image Labeling.
KDD
Yongjun Chen, Hongyang Gao, Lei Cai, Min Shi, Dinggang Shen, Shuiwang Ji
2017 A* conf
A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder Diagnosis.
ICDM
Debrup Banerjee, Kazi Aminul Islam, Gang Mei, Lemin Xiao, Guangfan Zhang, Roger Xu, Shuiwang Ji, Jiang Li
2017 J jnl
Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction.
IEEE Trans. Medical Imaging
Rongjian Li, Tao Zeng, Hanchuan Peng, Shuiwang Ji
2017 J jnl
DeepEM3D: approaching human-level performance on 3D anisotropic EM image segmentation.
Bioinform.
Tao Zeng, Bian Wu, Shuiwang Ji
2017 J jnl
Dense Transformer Networks.
CoRR
Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji
2017 A* conf
Efficient and Invariant Convolutional Neural Networks for Dense Prediction.
ICDM
Hongyang Gao, Shuiwang Ji
2017 J jnl
Efficient and Invariant Convolutional Neural Networks for Dense Prediction.
CoRR
Hongyang Gao, Shuiwang Ji
2017 J jnl
Feature Selection Based on Structured Sparsity: A Comprehensive Study.
IEEE Trans. Neural Networks Learn. Syst.
Jie Gui, Zhenan Sun, Shuiwang Ji, Dacheng Tao, Tieniu Tan
2017 A conf
IDM 2017: Workshop on Interpretable Data Mining - Bridging the Gap between Shallow and Deep Models.
CIKM
Xia Hu, Shuiwang Ji
2017 J jnl
Learning Convolutional Text Representations for Visual Question Answering.
CoRR
Zhengyang Wang, Shuiwang Ji
2017 A* conf
Multi-Modality Disease Modeling via Collective Deep Matrix Factorization.
KDD
Qi Wang, Mengying Sun, Liang Zhan, Paul Thompson, Shuiwang Ji, Jiayu Zhou
2017 J jnl
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation.
CoRR
Lei Cai, Hongyang Gao, Shuiwang Ji
2017 J jnl
Pixel Deconvolutional Networks.
CoRR
Hongyang Gao, Hao Yuan, Zhengyang Wang, Shuiwang Ji
2017 A* conf
Recurrent Encoder-Decoder Networks for Time-Varying Dense Prediction.
ICDM
Tao Zeng, Bian Wu, Jiayu Zhou, Ian Davidson, Shuiwang Ji
2017 J jnl
Residual Deconvolutional Networks for Brain Electron Microscopy Image Segmentation.
IEEE Trans. Medical Imaging
Ahmed Fakhry, Tao Zeng, Shuiwang Ji
2017 J jnl
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions.
CoRR
Zhengyang Wang, Hao Yuan, Shuiwang Ji
2016 A* conf
Collaborative Multi-View Denoising.
KDD
Lei Zhang, Shupeng Wang, Xiaoyu Zhang, Yong Wang, Binbin Li, Dinggang Shen, Shuiwang Ji
2016 — conf
Deep convolutional neural networks for detecting secondary structures in protein density maps from cryo-electron microscopy.
BIBM
Rongjian Li, Dong Si, Tao Zeng, Shuiwang Ji, Jing He
2016 J jnl
Deep models for brain EM image segmentation: novel insights and improved performance.
Bioinform.
Ahmed Fakhry, Hanchuan Peng, Shuiwang Ji
2016 A* conf
Multi-Task Feature Interaction Learning.
KDD
Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou
2016 A* conf
Parallel Lasso Screening for Big Data Optimization.
KDD
Qingyang Li, Shuang Qiu, Shuiwang Ji, Paul M. Thompson, Jieping Ye, Jie Wang
2015 J jnl
A Robust Deep Model for Improved Classification of AD/MCI Patients.
IEEE J. Biomed. Health Informatics
Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li
2015 Misc conf
Automated Gene Expression Pattern Annotation in the Mouse Brain.
Pacific Symposium on Biocomputing
Tao Yang, Xinlin Zhao, Binbin Lin, Tao Zeng, Shuiwang Ji, Jieping Ye
2015 A* conf
Deep Convolutional Neural Networks for Multi-instance Multi-task Learning.
ICDM
Tao Zeng, Shuiwang Ji
2015 A* conf
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis.
KDD
Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji
2015 J jnl
Deep convolutional neural networks for annotating gene expression patterns in the mouse brain.
BMC Bioinform.
Tao Zeng, Rongjian Li, Ravi Mukkamala, Jieping Ye, Shuiwang Ji
2015 J jnl
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.
NeuroImage
Wenlu Zhang, Rongjian Li, Houtao Deng, Li Wang, Weili Lin, Shuiwang Ji, Dinggang Shen
2015 J jnl
Evolutionary soft co-clustering: formulations, algorithms, and applications.
Data Min. Knowl. Discov.
Wenlu Zhang, Rongjian Li, Daming Feng, Andrey N. Chernikov, Nikos Chrisochoides, Christopher Osgood, Shuiwang Ji
2015 J jnl
Global analysis of gene expression and projection target correlations in the mouse brain.
Brain Informatics
Ahmed Fakhry, Tao Zeng, Hanchuan Peng, Shuiwang Ji
2015 J jnl
Sparsity Learning Formulations for Mining Time-Varying Data.
IEEE Trans. Knowl. Data Eng.
Rongjian Li, Wenlu Zhang, Yao Zhao, Zhenfeng Zhu, Shuiwang Ji
2015 A* conf
Structural Graphical Lasso for Learning Mouse Brain Connectivity.
KDD
Sen Yang, Qian Sun, Shuiwang Ji, Peter Wonka, Ian Davidson, Jieping Ye
2014 J jnl
Automated annotation of developmental stages of
Bioinform.
Lei Yuan, Cheng Pan, Shuiwang Ji, Michael McCutchan, Zhi-Hua Zhou, Stuart J. Newfeld, Sudhir Kumar, Jieping Ye
2014 J jnl
Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns.
BMC Bioinform.
Rongjian Li, Wenlu Zhang, Shuiwang Ji
2014 — conf
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis.
MICCAI (3)
Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji
2014 J jnl
How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version?
IEEE Trans. Circuits Syst. Video Technol.
Jie Gui, Zhenan Sun, Jun Cheng, Shuiwang Ji, Xindong Wu
2014 J jnl
Integrative analysis of the connectivity and gene expression atlases in the mouse brain.
NeuroImage
Shuiwang Ji, Ahmed Fakhry, Houtao Deng
2014 — conf
Robust Deep Learning for Improved Classification of AD/MCI Patients.
MLMI
Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li
2013 J jnl
3D Convolutional Neural Networks for Human Action Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuiwang Ji, Wei Xu, Ming Yang, Kai Yu
2013 J jnl
A Probabilistic Latent Semantic Analysis Model for Coclustering the Mouse Brain Atlas.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shuiwang Ji, Wenlu Zhang, Rongjian Li
2013 J jnl
A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis.
BMC Bioinform.
Wenlu Zhang, Daming Feng, Rongjian Li, Andrey N. Chernikov, Nikos Chrisochoides, Christopher Osgood, Charlotte Konikoff, Stuart J. Newfeld, Sudhir Kumar, Shuiwang Ji
2013 J jnl
Computational genetic neuroanatomy of the developing mouse brain: dimensionality reduction, visualization, and clustering.
BMC Bioinform.
Shuiwang Ji
2013 A conf
Evolutionary Soft Co-Clustering.
SDM
Shuiwang Ji, Wenlu Zhang, Rui Zhang
2013 J jnl
Image-level and group-level models for Drosophila gene expression pattern annotation.
BMC Bioinform.
Qian Sun, Sherin Muckatira, Lei Yuan, Shuiwang Ji, Stuart J. Newfeld, Sudhir Kumar, Jieping Ye
2013 J jnl
Multiview Partitioning via Tensor Methods.
IEEE Trans. Knowl. Data Eng.
Xinhai Liu, Shuiwang Ji, Wolfgang Glänzel, Bart De Moor
2012 A* conf
A sparsity-inducing formulation for evolutionary co-clustering.
KDD
Shuiwang Ji, Wenlu Zhang, Jun Liu
2012 J jnl
Discriminant sparse neighborhood preserving embedding for face recognition.
Pattern Recognit.
Jie Gui, Zhenan Sun, Wei Jia, Rong-Xiang Hu, Ying-Ke Lei, Shuiwang Ji
2012 J jnl
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou
2012 J jnl
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval.
BMC Bioinform.
Lei Yuan, Alexander Woodard, Shuiwang Ji, Yuan Jiang, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye
2012 J jnl
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization
CoRR
Jun Liu, Shuiwang Ji, Jieping Ye
2011 J jnl
Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Liang Sun, Shuiwang Ji, Jieping Ye
2011 J jnl
Computational network analysis of the anatomical and genetic organizations in the mouse brain.
Bioinform.
Shuiwang Ji
2011 J jnl
FlyExpress: visual mining of spatiotemporal patterns for genes and publications in
Bioinform.
Sudhir Kumar, Charlotte Konikoff, Bernard Van Emden, Christopher Busick, Kailah T. Davis, Shuiwang Ji, Lin-Wei Wu, Hector Ramos, Thomas Brody, Sethuraman Panchanathan, Jieping Ye, Timothy L. Karr, Kristyn Gerold, Michael McCutchan, Stuart J. Newfeld
2010 A* conf
3D Convolutional Neural Networks for Human Action Recognition.
ICML
Shuiwang Ji, Wei Xu, Ming Yang, Kai Yu
2010 J jnl
A shared-subspace learning framework for multi-label classification.
ACM Trans. Knowl. Discov. Data
Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye
2010 J jnl
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning.
SIAM J. Optim.
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye
2009 J jnl
A bag-of-words approach for
BMC Bioinform.
Shuiwang Ji, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye
2009 A* conf
A least squares formulation for a class of generalized eigenvalue problems in machine learning.
ICML
Liang Sun, Shuiwang Ji, Jieping Ye
2009 A* conf
An accelerated gradient method for trace norm minimization.
ICML
Shuiwang Ji, Jieping Ye
2009 — conf
Detecting Human Actions in Surveillance Videos.
TRECVID
Ming Yang, Shuiwang Ji, Wei Xu, Jinjun Wang, Fengjun Lv, Kai Yu, Yihong Gong, Mert Dikmen, Dennis J. Lin, Thomas S. Huang
2009 A* conf
Drosophila gene expression pattern annotation using sparse features and term-term interactions.
KDD
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye
2009 A* conf
DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
IJCAI
Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou
2009 A* conf
Linear Dimensionality Reduction for Multi-label Classification.
IJCAI
Shuiwang Ji, Jieping Ye
2009 A* conf
Mining discrete patterns via binary matrix factorization.
KDD
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
2009 A conf
Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization.
UAI
Jun Liu, Shuiwang Ji, Jieping Ye
2009 A* conf
On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares.
IJCAI
Liang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye
2008 A* conf
A least squares formulation for canonical correlation analysis.
ICML
Liang Sun, Shuiwang Ji, Jieping Ye
2008 A* conf
A unified framework for generalized Linear Discriminant Analysis.
CVPR
Shuiwang Ji, Jieping Ye
2008 J jnl
Adaptive diffusion kernel learning from biological networks for protein function prediction.
BMC Bioinform.
Liang Sun, Shuiwang Ji, Jieping Ye
2008 J jnl
Automated annotation of
Bioinform.
Shuiwang Ji, Liang Sun, Rong Jin, Sudhir Kumar, Jieping Ye
2008 A* conf
Extracting shared subspace for multi-label classification.
KDD
Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye
2008 J jnl
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection.
IEEE Trans. Neural Networks
Shuiwang Ji, Jieping Ye
2008 A* conf
Hypergraph spectral learning for multi-label classification.
KDD
Liang Sun, Shuiwang Ji, Jieping Ye
2008 J jnl
Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study.
IEEE Trans. Knowl. Data Eng.
Shuiwang Ji, Jieping Ye
2008 A* conf
Learning subspace kernels for classification.
KDD
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye
2008 J jnl
Multi-class Discriminant Kernel Learning via Convex Programming.
J. Mach. Learn. Res.
Jieping Ye, Shuiwang Ji, Jianhui Chen
2008 — conf
Multi-label Multiple Kernel Learning.
NIPS
Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye
2007 A* conf
Discriminant kernel and regularization parameter learning via semidefinite programming.
ICML
Jieping Ye, Jianhui Chen, Shuiwang Ji
2007 A* conf
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming.
KDD
Jieping Ye, Shuiwang Ji, Jianhui Chen