| 2025 | ACL | How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs. | Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang |
| 2025 | ACL | Learning to Reason from Feedback at Test-Time. | Yanyang Li, Michael R. Lyu, Liwei Wang |
| 2025 | ACL | C²LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation. | Yanyang Li, Tin Long Wong, Cheung To Hung, Jianqiao Zhao, Duo Zheng, Ka Wai Liu, Michael R. Lyu, Liwei Wang |
| 2025 | CVPR | DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image. | Ziwei Zhao, Zhixing Zhang, Yuhang Liu, Zhao Zhang, Haojun Yu, Dong Wang, Liwei Wang |
| 2025 | CVPR | Can Machines Understand Composition? Dataset and Benchmark for Photographic Image Composition Embedding and Understanding. | Zhaoran Zhao, Peng Lu, Anran Zhang, Peipei Li, Xia Li, Xuannan Liu, Yang Hu, Shiyi Chen, Liwei Wang, Wenhao Guo |
| 2025 | CVPR | Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding. | Duo Zheng, Shijia Huang, Liwei Wang |
| 2025 | DATA | Data Breaches: What Happened over the Last 20 Years? | Faheem Ullah, Liwei Wang, Uswa Fatima, Muhammad Imran Taj |
| 2025 | HCI | Building Beyond Blocks: User-Centered Innovations in LEGO Design for Unleashing Creativity and Play. | Mengyuan Chen, Xipan Li, Yuqi Wang, Yuxin Jiang, Huiwen Li, Wei Liu, Mingze Sun, Liwei Wang, Xinpeng Wang, Jialin Wei, Xinyu Yang, Yinan Yang, Ziwei Yang, Xiangyi Zhu, Jing Ma, Mengzhen Xiao, Taiyu Huang, Jingpeng Jia, Ruonan Huang, Wei Liu |
| 2025 | ICCV | Fine-Grained Spatiotemporal Grounding on Egocentric Videos. | Shuo Liang, Yiwu Zhong, Zi-Yuan Hu, Yeyao Tao, Liwei Wang |
| 2025 | ICCV | End-to-End Entity-Predicate Association Reasoning for Dynamic Scene Graph Generation. | Liwei Wang, Yanduo Zhang, Tao Lu, Fang Liu, Huiqin Zhang, Jiayi Ma, Huabing Zhou |
| 2025 | ICCV | AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning. | Yiwu Zhong, Zhuoming Liu, Yin Li, Liwei Wang |
| 2025 | ICDE | LORE: Learning-Based Resource Recommendation for Big Data Queries. | Yan Li, Liwei Wang, Bolong Zheng, Zhiyong Peng |
| 2025 | ICLR | Homomorphism Expressivity of Spectral Invariant Graph Neural Networks. | Jingchu Gai, Yiheng Du, Bohang Zhang, Haggai Maron, Liwei Wang |
| 2025 | ICLR | TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters. | Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele |
| 2025 | ICML | DPO Meets PPO: Reinforced Token Optimization for RLHF. | Han Zhong, Zikang Shan, Guhao Feng, Wei Xiong, Xinle Cheng, Li Zhao, Di He, Jiang Bian, Liwei Wang |
| 2025 | ICML | BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. | Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang |
| 2025 | ICML | The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability. | Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang, Zhaoran Wang, Zhuoran Yang |
| 2024 | ACISP | Security Research for Android Remote Assistance Apps. | Liwei Wang, Xiaofeng Liu, Ting Lei, Wenna Song, Shanqing Guo, Pengcheng Ren |
| 2024 | ACL | Making Long-Context Language Models Better Multi-Hop Reasoners. | Yanyang Li, Shuo Liang, Michael R. Lyu, Liwei Wang |
| 2024 | AISTATS | Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation. | Jiayi Huang, Han Zhong, Liwei Wang, Lin Yang |
| 2024 | AISTATS | On cyclical MCMC sampling. | Liwei Wang, Xinru Liu, Aaron Smith, Aguemon Y. Atchad |
| 2024 | CVPR | Towards Learning a Generalist Model for Embodied Navigation. | Duo Zheng, Shijia Huang, Lin Zhao, Yiwu Zhong, Liwei Wang |
| 2024 | ECCV | GiT: Towards Generalist Vision Transformer Through Universal Language Interface. | Haiyang Wang, Hao Tang, Li Jiang, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang |
| 2024 | EMNLP | Enhancing Temporal Modeling of Video LLMs via Time Gating. | Zi-Yuan Hu, Yiwu Zhong, Shijia Huang, Michael R. Lyu, Liwei Wang |
| 2024 | EMNLP | Beyond Embeddings: The Promise of Visual Table in Visual Reasoning. | Yiwu Zhong, Zi-Yuan Hu, Michael R. Lyu, Liwei Wang |
| 2024 | GLOBECOM | New Diagnostics for Inferring Multiple Fault Scenarios and Accurate Fault Localization. | Huisi Zhou, Wei Hu, Dan Zhu, Liwei Wang |
| 2024 | ICLR | Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. | Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang |
| 2024 | ICML | Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret. | Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang |
| 2024 | ICML | Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation. | Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Liwei Wang, Jingjing Xu, Zhi Zhang, Hongxia Yang, Di He |
| 2024 | ICML | GeoMFormer: A General Architecture for Geometric Molecular Representation Learning. | Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang |
| 2024 | ICML | Do Efficient Transformers Really Save Computation? | Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang |
| 2024 | ICML | Quantum Algorithms and Lower Bounds for Finite-Sum Optimization. | Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li |
| 2023 | ACL | MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning. | Yongfeng Huang, Yanyang Li, Yichong Xu, Lin Zhang, Ruyi Gan, Jiaxing Zhang, Liwei Wang |
| 2023 | AISTATS | Learning Physics-Informed Neural Networks without Stacked Back-propagation. | Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu |
| 2023 | CVPR | DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets. | Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, Liwei Wang |
| 2023 | CVPR | ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning. | Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang |
| 2023 | EMNLP | Learning Preference Model for LLMs via Automatic Preference Data Generation. | Shijia Huang, Jianqiao Zhao, Yanyang Li, Liwei Wang |
| 2023 | EMNLP | CLEVA: Chinese Language Models EVAluation Platform. | Yanyang Li, Jianqiao Zhao, Duo Zheng, Zi-Yuan Hu, Zhi Chen, Xiaohui Su, Yongfeng Huang, Shijia Huang, Dahua Lin, Michael R. Lyu, Liwei Wang |
| 2023 | GLOBECOM | SES2: A Secure and Efficient Symmetric Searchable Encryption Scheme for Structured Data. | Yanwei Gong, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Yingying Yao, Liwei Wang |
| 2023 | ICCV | VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control. | Zi-Yuan Hu, Yanyang Li, Michael R. Lyu, Liwei Wang |
| 2023 | ICCV | UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation. | Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang |
| 2023 | ICLR | Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game. | Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang, Tong Zhang |
| 2023 | ICLR | Provable Sim-to-real Transfer in Continuous Domain with Partial Observations. | Jiachen Hu, Han Zhong, Chi Jin, Liwei Wang |
| 2023 | ICLR | One Transformer Can Understand Both 2D & 3D Molecular Data. | Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He |
| 2023 | ICLR | Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling. | Keyu Tian, Yi Jiang, Qishuai Diao, Chen Lin, Liwei Wang, Zehuan Yuan |
| 2023 | ICLR | Denoising Masked Autoencoders Help Robust Classification. | Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He |
| 2023 | ICLR | Rethinking the Expressive Power of GNNs via Graph Biconnectivity. | Bohang Zhang, Shengjie Luo, Liwei Wang, Di He |
| 2023 | ICML | Offline Meta Reinforcement Learning with In-Distribution Online Adaptation. | Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang |
| 2023 | ICML | On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness. | Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Shaolei Du |
| 2023 | ICML | A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. | Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang |
| 2023 | MICCAI | Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers. | AnLan Sun, Zhao Zhang, Meng Lei, Yuting Dai, Dong Wang, Liwei Wang |
| 2023 | MICCAI | Mining Negative Temporal Contexts for False Positive Suppression in Real-Time Ultrasound Lesion Detection. | Haojun Yu, Youcheng Li, Quanlin Wu, Ziwei Zhao, Dengbo Chen, Dong Wang, Liwei Wang |
| 2023 | MICCAI | Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-Aware Connection Classifier. | Zhixing Zhang, Ziwei Zhao, Dong Wang, Shishuang Zhao, Yuhang Liu, Jia Liu, Liwei Wang |
| 2023 | PAKDD | Proactive Rumor Control: When Impression Counts. | Pengfei Xu, Zhiyong Peng, Liwei Wang |
| 2022 | ACL | Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency. | Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang |
| 2022 | AMIA | Quality Assessment of Functional Status Documentation in EHR Across Institutions. | Sunyang Fu, Maria Vassilaki, Omar A. Ibrahim, Ronald C. Petersen, Jennifer St. Sauver, Liwei Wang, Jungwei Fan, Hongfang Liu, Sunghwan Sohn |
| 2022 | AMIA | Towards User-centered Corpus Development: Lessons Learnt from Designing and Developing MedTator. | Huan He, Sunyang Fu, Liwei Wang, Andrew Wen, Sijia Liu, Sungrim Moon, Kurt Miller, Hongfang Liu |
| 2022 | AMIA | Bridging the Granularity Gap in Family History Information Extracted from Clinical Narratives. | Sungrim Moon, Liwei Wang, Xuan Chen, Nan Wang, Sheila Manemann, Nicholas B. Larson, Suzette J. Bielinski, Hongfang Liu |
| 2022 | AMIA | Mapping Family History Information from Clinical Narratives to Ontologies or Terminological Resources. | Sungrim Moon, Liwei Wang, Xuan Chen, Nan Wang, Sheila Manemann, Nicholas B. Larson, Suzette J. Bielinski, Hongfang Liu |
| 2022 | AMIA | Annotation Enhancement of Synthetic Family History Corpus. | Liwei Wang, Sungrim Moon, Sicheng Zhou, Huan He, Hongfang Liu |
| 2022 | CVPR | Multi-View Transformer for 3D Visual Grounding. | Shijia Huang, Yilun Chen, Jiaya Jia, Liwei Wang |
| 2022 | CVPR | Stratified Transformer for 3D Point Cloud Segmentation. | Xin Lai, Jianhui Liu, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia |
| 2022 | CVPR | Voxel Field Fusion for 3D Object Detection. | Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia |
| 2022 | CVPR | RBGNet: Ray-based Grouping for 3D Object Detection. | Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang |
| 2022 | ECCV | DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation. | Xin Lai, Zhuotao Tian, Xiaogang Xu, Ying-Cong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia |
| 2022 | ECCV | PointScatter: Point Set Representation for Tubular Structure Extraction. | Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu, Yihong Chen, Liwei Wang |
| 2022 | ECCV | Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection. | Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, Liwei Wang |
| 2022 | EMNLP | Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation. | Yanyang Li, Jianqiao Zhao, Michael R. Lyu, Liwei Wang |
| 2022 | EMNLP | FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows. | Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu, Michael R. Lyu, Liwei Wang |
| 2022 | ICDE | A Resource-Aware Deep Cost Model for Big Data Query Processing. | Yan Li, Liwei Wang, Sheng Wang, Yuan Sun, Zhiyong Peng |
| 2022 | ICLR | Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver. | Xiaoyu Chen, Jiachen Hu, Lin Yang, Liwei Wang |
| 2022 | ICLR | Understanding Domain Randomization for Sim-to-real Transfer. | Xiaoyu Chen, Jiachen Hu, Chi Jin, Lihong Li, Liwei Wang |
| 2022 | ICLR | A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning. | Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon Shaolei Du |
| 2022 | ICLR | Boosting the Certified Robustness of L-infinity Distance Nets. | Bohang Zhang, Du Jiang, Di He, Liwei Wang |
| 2022 | ICML | Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation. | Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang |
| 2022 | ICML | Nearly Optimal Policy Optimization with Stable at Any Time Guarantee. | Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao |
| 2022 | ICML | Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. | Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang |
| 2021 | AAAI | Augmented Partial Mutual Learning with Frame Masking for Video Captioning. | Ke Lin, Zhuoxin Gan, Liwei Wang |
| 2021 | ACL | JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs. | Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, Minlie Huang |
| 2021 | AMIA | Patient Asynchronous Response to Coronavirus Disease 2019 (COVID-19): A Retrospective Analysis of Patient Portal Messages. | Ming Huang, Aditya Khurana, George M. Mastorakos, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Julie E. Prigge, Brian Costello, Nilay D. Shah, Henry Ting, Christi A. Patten, Jungwei Fan, Hongfang Liu |
| 2021 | AMIA | COVID-19 Dashboard: Visual Exploration of the Regional Pandemic Trend. | Huan He, Liwei Wang, Andrew Wen, Ming Huang, Yanshan Wang, Hongfang Liu |
| 2021 | AMIA | Disparity analysis of patient portal messaging use for COVID-19 in urban versus rural locality. | Ming Huang, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Nansu Zong, Yue Yu, Julie E. Prigge, Brian Costello, Nilay D. Shah, Henry Ting, Chyke Doubeni, Jungwei Fan, Hongfang Liu, Christi A. Patten |
| 2021 | AMIA | Deep Learning Approaches for Breast Cancer Characteristics Extraction from Electronic Health Records. | Sicheng Zhou, Liwei Wang, Nan Wang, Sunyang Fu, Chetan Shenoy, Anne H. Blaes, Hongfang Liu, Rui Zhang |
| 2021 | CVPR | Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection. | Hanzhe Hu, Shuai Bai, Aoxue Li, Jinshi Cui, Liwei Wang |
| 2021 | CVPR | Self-Supervised 3D Mesh Reconstruction From Single Images. | Tao Hu, Liwei Wang, Xiaogang Xu, Shu Liu, Jiaya Jia |
| 2021 | CVPR | Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency. | Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia |
| 2021 | CVPR | Fully Convolutional Networks for Panoptic Segmentation. | Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia |
| 2021 | CVPR | Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation. | Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu |
| 2021 | EMNLP | RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging. | Jie Hao, Linfeng Song, Liwei Wang, Kun Xu, Zhaopeng Tu, Dong Yu |
| 2021 | ICCV | Deep Structured Instance Graph for Distilling Object Detectors. | Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia |
| 2021 | ICCV | Learnable Boundary Guided Adversarial Training. | Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia |
| 2021 | ICCV | Region-aware Contrastive Learning for Semantic Segmentation. | Hanzhe Hu, Jinshi Cui, Liwei Wang |
| 2021 | ICCV | SAT: 2D Semantics Assisted Training for 3D Visual Grounding. | Zhengyuan Yang, Songyang Zhang, Liwei Wang, Jiebo Luo |
| 2021 | ICLR | Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL. | Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang |
| 2021 | ICML | GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. | Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang |
| 2021 | ICML | Near-Optimal Representation Learning for Linear Bandits and Linear RL. | Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang |
| 2021 | ICML | On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP. | Tianhao Wu, Yunchang Yang, Simon S. Du, Liwei Wang |
| 2021 | ICML | Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons. | Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang |
| 2021 | MICCAI | Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations. | Ruiheng Chang, Dong Wang, Haiyan Guo, Jia Ding, Liwei Wang |
| 2021 | NAACL | DAGN: Discourse-Aware Graph Network for Logical Reasoning. | Yinya Huang, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang |
| 2021 | UAI | Combinatorial semi-bandit in the non-stationary environment. | Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng |
| 2020 | ACL | MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning. | Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal |
| 2020 | CVPR | Memory Enhanced Global-Local Aggregation for Video Object Detection. | Yihong Chen, Yue Cao, Han Hu, Liwei Wang |
| 2020 | CVPR | Boosting Few-Shot Learning With Adaptive Margin Loss. | Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang |
| 2020 | CVPR | FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. | Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang |
| 2020 | ECCV | Improving One-Stage Visual Grounding by Recursive Sub-query Construction. | Zhengyuan Yang, Tianlang Chen, Liwei Wang, Jiebo Luo |
| 2020 | ECCV | Dense RepPoints: Representing Visual Objects with Dense Point Sets. | Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu |
| 2020 | ECCV | Comprehensive Image Captioning via Scene Graph Decomposition. | Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li |
| 2020 | EMNLP | Semi-Supervised Learning for Video Captioning. | Ke Lin, Zhuoxin Gan, Liwei Wang |
| 2020 | ICLR | Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks. | Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft |
| 2020 | ICLR | Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. | Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su |
| 2020 | ICLR | Robust Local Features for Improving the Generalization of Adversarial Training. | Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft |
| 2020 | ICLR | Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. | Yuanhao Wang, Kefan Dong, Xiaoyu Chen, Liwei Wang |
| 2020 | ICLR | Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication. | Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang |
| 2020 | ICLR | MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. | Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang |
| 2020 | ICML | (Locally) Differentially Private Combinatorial Semi-Bandits. | Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang |
| 2020 | ICML | On Layer Normalization in the Transformer Architecture. | Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu |
| 2020 | MICCAI | Improve Bone Age Assessment by Learning from Anatomical Local Regions. | Dong Wang, Kexin Zhang, Jia Ding, Liwei Wang |
| 2019 | ACL | Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network. | Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, Dong Yu |
| 2019 | AMIA | Association between Cardiotoxic Chemotherapy and Myocardial Infarction. | Liwei Wang, Suzette J. Bielinski, Paul A. Decker, Jill M. Killian, Nicholas B. Larson, Rui Zhang, Hongfang Liu |
| 2019 | AMIA | Achievability to Extract Specific Date Information for Cancer Research. | Liwei Wang, Jason A. Wampfler, Angela Dispenzieri, Hua Xu, Ping Yang, Hongfang Liu |
| 2019 | APWEB | A Learning Approach for Topic-Aware Influence Maximization. | Shan Tian, Ping Zhang, Songsong Mo, Liwei Wang, Zhiyong Peng |
| 2019 | CVPR | Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech. | Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander G. Schwing, David A. Forsyth |
| 2019 | CVPR | Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy. | Aoxue Li, Tiange Luo, Zhiwu Lu, Tao Xiang, Liwei Wang |
| 2019 | DASFAA | SIRCS: Slope-intercept-residual Compression by Correlation Sequencing for Multi-stream High Variation Data. | Zixin Ye, Wen Hua, Liwei Wang, Xiaofang Zhou |
| 2019 | EMNLP | Hint-Based Training for Non-Autoregressive Machine Translation. | Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu |
| 2019 | ICCV | Few-Shot Learning With Global Class Representations. | Aoxue Li, Tiange Luo, Tao Xiang, Weiran Huang, Liwei Wang |
| 2019 | ICCV | A Fast and Accurate One-Stage Approach to Visual Grounding. | Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, Jiebo Luo |
| 2019 | ICCV | RepPoints: Point Set Representation for Object Detection. | Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin |
| 2019 | ICCV | Learning Relationships for Multi-View 3D Object Recognition. | Ze Yang, Liwei Wang |
| 2019 | ICLR | Representation Degeneration Problem in Training Natural Language Generation Models. | Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu |
| 2019 | ICLR | Improving the Generalization of Adversarial Training with Domain Adaptation. | Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft |
| 2019 | ICML | Gradient Descent Finds Global Minima of Deep Neural Networks. | Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai |
| 2019 | ICML | Efficient Training of BERT by Progressively Stacking. | Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tie-Yan Liu |
| 2019 | ISCAS | Comparison of Three Pre-Amplifier Circuits for Time Readout of SiPM in TOF-PET Detectors. | Mingchen Wang, Yonggang Wang, Qiang Cao, Liwei Wang, Jie Kuang, Yong Xiao |
| 2018 | AMIA | ARETA: A Corpus for Asthma Related Event Temporal Association. | Sijia Liu, Liwei Wang, Sunghwan Sohn, Liping Xia, Hongfang Liu |
| 2018 | AMIA | Information Extraction for Data Population in Lung Cancer Clinical Research. | Liwei Wang, Lei Luo, Yanshan Wang, Jason A. Wampfler, Ping Yang, Hongfang Liu |
| 2018 | COLT | Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints. | Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng |
| 2018 | ECCV | Learning Region Features for Object Detection. | Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai |
| 2018 | ECCV | Learning to Navigate for Fine-Grained Classification. | Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang |
| 2018 | ICML | Towards Binary-Valued Gates for Robust LSTM Training. | Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu |
| 2018 | ICML | Dropout Training, Data-dependent Regularization, and Generalization Bounds. | Wenlong Mou, Yuchen Zhou, Jun Gao, Liwei Wang |
| 2018 | MFCS | Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations. | Chen Dan, Kristoffer Arnsfelt Hansen, He Jiang, Liwei Wang, Yuchen Zhou |
| 2017 | AMIA | A Resource for Clinical Semantic Textual Similarity. | Naveed Afzal, Yanshan Wang, Feichen Shen, Liwei Wang, Hongfang Liu |
| 2017 | AMIA | Leveraging Collaborative Filtering to Accelerate Rare Disease Diagnosis. | Feichen Shen, Sijia Liu, Yanshan Wang, Liwei Wang, Naveed Afzal, Hongfang Liu |
| 2017 | AMIA | Accelerating Rare Disease Diagnosis with Collaborative Filtering. | Feichen Shen, Sijia Liu, Yanshan Wang, Liwei Wang, Naveed Afzal, Hongfang Liu |
| 2017 | AMIA | Semantic Representations of Medical Terms: A Comparison Study of Word Embeddings Trained on Clinical Notes and PubMed Articles. | Yanshan Wang, Naveed Afzal, Liwei Wang, Feichen Shen, Hongfang Liu |
| 2017 | AMIA | Recommending education materials for diabetic questions using information retrieval approaches. | Yuqun Zeng, Yanshan Wang, Feichen Shen, Sijia Liu, Liwei Wang, Majid Rastegar-Mojarad, Xusheng Liu, Hongfang Liu |
| 2017 | COLT | Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes. | Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang |
| 2017 | ICML | Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible. | Kai Zheng, Wenlong Mou, Liwei Wang |
| 2017 | IJCAI | Efficient Private ERM for Smooth Objectives. | Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang |
| 2017 | IJCNN | Groupwise Bayesian dimension reduction. | Bo Zhang, Liwei Wang, Song Yan, Chul Sung |
| 2017 | IJCNN | Classification based on neuroimaging data by tensor boosting. | Bo Zhang, Hua Zhou, Liwei Wang, Chul Sung |
| 2017 | MICCAI | Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks. | Jia Ding, Aoxue Li, Zhiqiang Hu, Liwei Wang |
| 2017 | QRS | Quality Evaluation of Digital Soft IP Core for FPGA System. | Dengyun Lei, Liwei Wang, Jun Lin, Yunfei En |
| 2016 | AAAI | On the Depth of Deep Neural Networks: A Theoretical View. | Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu |
| 2016 | AMIA | Ontology-Based Analysis of Adverse Drug Reactions Associated with Anti-infection Drugs in China. | Mei Li, Yuying Cao, Liwei Wang, Hongfang Liu, Yongqun He |
| 2016 | AMIA | Discovering Associations between Problem List and Practice Setting. | Liwei Wang, Dingcheng Li, Majid Rastegar-Mojarad, Hongfang Liu |
| 2016 | AMIA | Answering patients' questions using expert-vetted online resources: A case study of diabetes. | Yuqun Zeng, Liwei Wang, Yanshan Wang, Dingcheng Li, Hongfang Liu |
| 2016 | CVPR | Learning Deep Structure-Preserving Image-Text Embeddings. | Liwei Wang, Yin Li, Svetlana Lazebnik |
| 2016 | INFOCOM | Cooperative downloading in VANETs-LTE heterogeneous network based on Named Data. | Gang Deng, Fengchao Li, Liwei Wang |
| 2016 | INFOCOM | Distributed Probabilistic Caching strategy in VANETs through Named Data Networking. | Gang Deng, Liwei Wang, Fengchao Li, Rere Li |
| 2016 | SMC | HMSNN: Hippocampus inspired Memory Spiking Neural Network. | Tielin Zhang, Yi Zeng, Dongcheng Zhao, Liwei Wang, Yuxuan Zhao, Bo Xu |
| 2015 | AAAI | Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding. | Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang |
| 2015 | AMIA | Automatically Screening Possible Chemoresistance Genes of Bladder Cancer Drugs. | Liwei Wang, Jingde Zhu, Qian Zhu |
| 2015 | ER | A Working Model for Uncertain Data with Lineage. | Liang Wang, Liwei Wang, Zhiyong Peng |
| 2015 | ICCV | Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. | Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik |
| 2015 | IJCAI | Social Image Parsing by Cross-Modal Data Refinement. | Zhiwu Lu, Xin Gao, Songfang Huang, Liwei Wang, Ji-Rong Wen |
| 2014 | AAAI | Direct Semantic Analysis for Social Image Classification. | Zhiwu Lu, Liwei Wang, Ji-Rong Wen |
| 2014 | ECCV | Multi-scale Orderless Pooling of Deep Convolutional Activation Features. | Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik |
| 2014 | ECCV | Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections. | Yunchao Gong, Liwei Wang, Micah Hodosh, Julia Hockenmaier, Svetlana Lazebnik |
| 2014 | PAKDD | Cancer Based Pharmacogenomics Network for Drug Repurposing. | Liwei Wang, Hongfang Liu, Christopher G. Chute, Qian Zhu |
| 2014 | UAI | Learning to Predict from Crowdsourced Data. | Wei Bi, Liwei Wang, James T. Kwok, Zhuowen Tu |
| 2013 | AMIA | Coreference Resolution from Medical Corpus with Topic Modeling. | Dingcheng Li, Liwei Wang, Cui Tao, Christopher G. Chute, Hongfang Liu |
| 2013 | COLT | A Theoretical Analysis of NDCG Type Ranking Measures. | Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu |
| 2013 | IJCAI | A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search. | Di He, Wei Chen, Liwei Wang, Tie-Yan Liu |
| 2012 | AAAI | Discriminative Clustering via Generative Feature Mapping. | Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia |
| 2012 | AMIA | A Preliminary Study on Normalizing AERS Drug Names Using RxNorm. | Liwei Wang, Guoqian Jiang, Wei Wang, Hongfang Liu |
| 2012 | CIKM | Efficient provenance storage for relational queries. | Zhifeng Bao, Henning Khler, Liwei Wang, Xiaofang Zhou, Shazia Sadiq |
| 2012 | CVPR | Randomness and sparsity induced codebook learning with application to cancer image classification. | Quannan Li, Cong Yao, Liwei Wang, Zhuowen Tu |
| 2012 | CVPR | Learning sparse covariance patterns for natural scenes. | Liwei Wang, Yin Li, Jiaya Jia, Jian Sun, David P. Wipf, James M. Rehg |
| 2012 | ECCV | Bayesian Face Revisited: A Joint Formulation. | Dong Chen, Xudong Cao, Liwei Wang, Fang Wen, Jian Sun |
| 2012 | MICCAI | Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification. | Quannan Li, Cong Yao, Liwei Wang, Zhuowen Tu |
| 2010 | ACCV | Segmentation via NCuts and Lossy Minimum Description Length: A Unified Approach. | Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang |
| 2010 | ACCV | Towards Hypothesis Testing and Lossy Minimum Description Length: A Unified Segmentation Framework. | Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang |
| 2010 | CIKM | Approximate membership localization (AML) for web-based join. | Zhixu Li, Laurianne Sitbon, Liwei Wang, Xiaofang Zhou, Xiaoyong Du |
| 2010 | DASFAA | Active Duplicate Detection. | Ke Deng, Liwei Wang, Xiaofang Zhou, Shazia Sadiq, Gabriel Pui Cheong Fung |
| 2010 | ICIP | Model-based 3D human motion tracking and voxel reconstruction from sparse views. | Junchi Yan, Jian Song, Liwei Wang, Yuncai Liu |
| 2010 | WISE | Providing Flexible Tradeoff for Provenance Tracking. | Liwei Wang, Henning Khler, Ke Deng, Xiaofang Zhou, Shazia Sadiq |
| 2009 | CVPR | Learning IMED via shift-invariant transformation. | Bing Sun, Jufu Feng, Liwei Wang |
| 2008 | COLT | On the Margin Explanation of Boosting Algorithms. | Liwei Wang, Masashi Sugiyama, Cheng Yang, Zhi-Hua Zhou, Jufu Feng |
| 2008 | ISCAS | Accelerated state-variable modeling of synchronous machine-converter systems. | Liwei Wang, Ali Davoudi, Juri Jatskevich, Patrick L. Chapman |
| 2007 | COLT | Rademacher Margin Complexity. | Liwei Wang, Jufu Feng |
| 2007 | ICML | On learning with dissimilarity functions. | Liwei Wang, Cheng Yang, Jufu Feng |