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Yan Liu 0002
Person information
- affiliation: University of Southern California, Computer Science Department, Los Angeles, CA, USA
- affiliation (former): IBM T. J. Watson Research Center, CA, USA
- affiliation (former): Carnegie Mellon University, Language Technologies Institute, Pittsburgh, PA, USA
Other persons with the same name
- Yan Liu — disambiguation page
- Yan Liu 0001 — Concordia University, Montreal, PQ, Canada (and 3 more)
- Yan Liu 0003 — Motorala Labs
- Yan Liu 0004 (aka: Fiona Yan Liu) — Hong Kong Polytechnic University, Department of Computing, Cognitive Computing Lab, Hong Kong (and 1 more)
- Yan Liu 0005 — University of Ottawa, Canada
- Yan Liu 0006 — Information Engineering University, Information Engineering Institute, Zhengzhou, China
- Yan Liu 0007 — Beijing Normal University, China
- Yan Liu 0008 — Wright State University, Department of Biomedical, Industrial, and Human Factors Engineering, Dayton, OH, USA
- Yan Liu 0009 (aka: Yan Y. Liu) — University of Illinois at Urbana-Champaign, IL, USA
- Yan Liu 0010 — Huazhong University, School of Computer Science and Technology, Key Laboratory of Data Storage System, China
- Yan Liu 0011 — Tongji University, Shanghai, China
- Yan Liu 0012 — Ant Financial, Hangzhou, China (and 1 more)
- Yan Liu 0013 — University of Queensland, School of Earth Sciences, Centre for Geoscience Computing
- Yan Liu 0014 — Harbin Institute of Technology, Department of Mathematics, China
- Yan Liu 0015 — Dalian Polytechnic University, School of Information Science and Engineering, China (and 1 more)
- Yan Liu 0016 — Shanghai JiaoTong University, Bio-Circuits and Systems Laboratory, China (and 1 more)
- Yan Liu 0017 — Xerox Research Centre Euorpe (and 1 more)
- Yan Liu 0018 — Hangzhou Dianzi University, School of Electronics and Information, China (and 1 more)
- Yan Liu 0019 — Guandong University of Finance
- Yan Liu 0020 — Beijing Institute of Technology, State Key Laboratory of Explosion Science and Technology, Beijing, China
- Yan Liu 0021 — Peking University, School of Software and Microelectronics, Beijing, China
- Yan Liu 0022 — Stony Brook University, Department of Radiology, NY, USA
- Yan Liu 0024 — Siemens (and 2 more)
- Yan Liu 0025 — Texas A & M University
- Yan Liu 0026 — Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands (and 1 more)
- Yan Liu 0027 — University of Science and Technology of China, School of Management, China
- Yan Liu 0028 — Harbin University of Science and Technology, Department of Automation, China
- Yan Liu 0029 — University of Michigan, Department of Naval Architecture and Marine Engineering, Ann Arbor, MI, USA
- Yan Liu 0030 — South China Normal University, School of Mathematical Sciences, Guangzhou, China
- Yan Liu 0031 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Yan Liu 0032 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Yan Liu 0033 — Waseda University, Department of Applied Mathematics, Okubo, Japan
- Yan Liu 0034 — Northwestern Polytechnical University, School of Aeronautics, Xi'an, China
- Yan Liu 0035 — Inner Mongolia Agricultural University, College of Economics and Management, Hohhot, China
- Yan Liu 0036 — University of Warwick, Coventry, UK
- Yan Liu 0037 — Arizona State University, Tempe, AZ, USA
- Yan Liu 0038 — Yangzhou University, School of Information Engineering, Yangzhou, China
- Yan Liu 0039 — Changchun University of Science and Technology, School of Computer Science and Technology, Changchun, China (and 1 more)
- Yan Liu 0040 — Tianjin University, College of Management and Economics, Tianjin, China
- Yan Liu 0041 — Chinese Academy of Science, Suzhou Institute of Biomedical Engineering and Technology, Department of Medical Image, China (and 2 more)
- Yan Liu 0042 — Guangdong Polytechnic Normal University, School of Electronic and Information, Guangzhou, China
- Yan Liu 0043 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Yan Liu 0044 — North China Electric Power University, Department of Economics and Management, Baoding, China (and 1 more)
- Yan Liu 0045 — Peking University, School of Computer Science, Beijing, China (and 1 more)
- Yan Liu 0046 — Anhui University, School of Mathematical Sciences, Hefei, China
- Yan Liu 0047 — University of Electronic Science and Technology of China, Chengdu, China (and 1 more)
- Yan Liu 0048 — Jiangsu Academy of Agricultural Sciences, Nanjing, China
- Yan Liu 0049 — Xidian University, School of Electro-Mechanical Engineering, Key Laboratory of Electronic Equipment Structure Design, Xi'an, China (and 1 more)
- Yan Liu 0050 — Shanghai Jiaotong University, Department of Mathematics, Shanghai, China
- Yan Liu 0051 — Hebei University, College of Cyberspace Security and Computer, Baoding, China
- Yan Liu 0052 — Sichuan University, College of Electrical Engineering, China
- Yan Liu 0053 — Nanjing University of Information Science and Technology, School of Automation, China (and 1 more)
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2020 – today
- 2024
- [c151]Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, Yan Liu:
GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting. AAAI 2024: 23343-23351 - [c150]Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Wei Shen, Limao Xiong, Yuhao Zhou, Xiao Wang, Zhiheng Xi, Xiaoran Fan, Shiliang Pu, Jiang Zhu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang:
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin. ACL (1) 2024: 1932-1945 - [c149]Shihan Dou, Yan Liu, Haoxiang Jia, Enyu Zhou, Limao Xiong, Junjie Shan, Caishuang Huang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang:
StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback. ACL (1) 2024: 4571-4585 - [c148]James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister:
TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents. ACL (Findings) 2024: 13984-14011 - [c147]Shitong Duan, Xiaoyuan Yi, Peng Zhang, Yan Liu, Zheng Liu, Tun Lu, Xing Xie, Ning Gu:
Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization. EMNLP (Findings) 2024: 1012-1042 - [c146]Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu:
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. ICLR 2024 - [c145]Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho:
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models. ICLR 2024 - [c144]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:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c143]Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu:
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. ICML 2024 - [c142]Yizhou Zhang, Karishma Sharma, Lun Du, Yan Liu:
Toward Mitigating Misinformation and Social Media Manipulation in LLM Era. WWW (Companion Volume) 2024: 1302-1305 - [i79]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:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i78]Binghai Wang, Rui Zheng, Lu Chen, Yan Liu, Shihan Dou, Caishuang Huang, Wei Shen, Senjie Jin, Enyu Zhou, Chenyu Shi, Songyang Gao, Nuo Xu, Yuhao Zhou, Xiaoran Fan, Zhiheng Xi, Jun Zhao, Xiao Wang, Tao Ji, Hang Yan, Lixing Shen, Zhan Chen, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang:
Secrets of RLHF in Large Language Models Part II: Reward Modeling. CoRR abs/2401.06080 (2024) - [i77]Shihan Dou, Yan Liu, Haoxiang Jia, Limao Xiong, Enyu Zhou, Wei Shen, Junjie Shan, Caishuang Huang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Xuanjing Huang, Tao Gui:
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback. CoRR abs/2402.01391 (2024) - [i76]Yizhou Zhang, Lun Du, Defu Cao, Qiang Fu, Yan Liu:
Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving. CoRR abs/2402.05359 (2024) - [i75]Shihan Dou, Yan Liu, Enyu Zhou, Tianlong Li, Haoxiang Jia, Limao Xiong, Xin Zhao, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang:
MetaRM: Shifted Distributions Alignment via Meta-Learning. CoRR abs/2405.00438 (2024) - [i74]Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho:
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models. CoRR abs/2406.10130 (2024) - [i73]Shihan Dou, Haoxiang Jia, Shenxi Wu, Huiyuan Zheng, Weikang Zhou, Muling Wu, Mingxu Chai, Jessica Fan, Caishuang Huang, Yunbo Tao, Yan Liu, Enyu Zhou, Ming Zhang, Yuhao Zhou, Yueming Wu, Rui Zheng, Ming Wen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang:
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. CoRR abs/2407.06153 (2024) - [i72]Can Rong, Jingtao Ding, Yan Liu, Yong Li:
A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation. CoRR abs/2407.15823 (2024) - [i71]Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu:
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. CoRR abs/2408.08815 (2024) - [i70]Defu Cao, Wen Ye, Yizhou Zhang, Yan Liu:
TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model. CoRR abs/2409.02322 (2024) - [i69]Yujia Zhou, Yan Liu, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Zheng Liu, Chaozhuo Li, Zhicheng Dou, Tsung-Yi Ho, Philip S. Yu:
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey. CoRR abs/2409.10102 (2024) - [i68]Yan Liu, Xiaoyuan Yi, Xiaokang Chen, Jing Yao, Jingwei Yi, Daoguang Zan, Zheng Liu, Xing Xie, Tsung-Yi Ho:
Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment. CoRR abs/2409.19024 (2024) - [i67]Wen Ye, Yizhou Zhang, Wei Yang, Lumingyuan Tang, Defu Cao, Jie Cai, Yan Liu:
Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution. CoRR abs/2410.04047 (2024) - 2023
- [c141]Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu:
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. AAAI 2023: 6897-6905 - [c140]Songyang Gao, Shihan Dou, Yan Liu, Xiao Wang, Qi Zhang, Zhongyu Wei, Jin Ma, Ying Shan:
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization. ACL (1) 2023: 12177-12189 - [c139]Yan Liu, Yan Gao, Zhe Su, Xiaokang Chen, Elliott Ash, Jian-Guang Lou:
Uncovering and Categorizing Social Biases in Text-to-SQL. ACL (1) 2023: 13573-13584 - [c138]Defu Cao, Zhaowen Wang, Jose Echevarria, Yan Liu:
SVGformer: Representation Learning for Continuous Vector Graphics using Transformers. CVPR 2023: 10093-10102 - [c137]Yizhou Zhang, Karishma Sharma, Yan Liu:
Capturing Cross-Platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns. ECIR (2) 2023: 694-702 - [c136]Defu Cao, Yixiang Zheng, Parisa Hassanzadeh, Simran Lamba, Xiaomo Liu, Yan Liu:
Large Scale Financial Time Series Forecasting with Multi-faceted Model. ICAIF 2023: 472-480 - [c135]Loc Trinh, Tim Chu, Zijun Cui, Anand Malpani, Cherine Yang, Istabraq Dalieh, Alvin Hui, Oscar Gomez, Yan Liu, Andrew J. Hung:
Self-supervised Sim-to-Real Kinematics Reconstruction for Video-Based Assessment of Intraoperative Suturing Skills. MICCAI (9) 2023: 708-717 - [c134]Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho:
Uncovering and Quantifying Social Biases in Code Generation. NeurIPS 2023 - [c133]Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu:
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. NeurIPS 2023 - [c132]Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu:
Time-delayed Multivariate Time Series Predictions. SDM 2023: 325-333 - [i66]Defu Cao, James Enouen, Yan Liu:
Estimating Treatment Effects in Continuous Time with Hidden Confounders. CoRR abs/2302.09446 (2023) - [i65]Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu:
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. CoRR abs/2303.02320 (2023) - [i64]Yizhou Zhang, Loc Trinh, Defu Cao, Zijun Cui, Yan Liu:
Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model. CoRR abs/2304.07633 (2023) - [i63]Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho:
Uncovering and Quantifying Social Biases in Code Generation. CoRR abs/2305.15377 (2023) - [i62]Yan Liu, Yan Gao, Zhe Su, Xiaokang Chen, Elliott Ash, Jian-Guang Lou:
Uncovering and Categorizing Social Biases in Text-to-SQL. CoRR abs/2305.16253 (2023) - [i61]Songyang Gao, Shihan Dou, Yan Liu, Xiao Wang, Qi Zhang, Zhongyu Wei, Jin Ma, Ying Shan:
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization. CoRR abs/2306.15164 (2023) - [i60]Rui Zheng, Shihan Dou, Songyang Gao, Yuan Hua, Wei Shen, Binghai Wang, Yan Liu, Senjie Jin, Qin Liu, Yuhao Zhou, Limao Xiong, Lu Chen, Zhiheng Xi, Nuo Xu, Wenbin Lai, Minghao Zhu, Cheng Chang, Zhangyue Yin, Rongxiang Weng, Wensen Cheng, Haoran Huang, Tianxiang Sun, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang:
Secrets of RLHF in Large Language Models Part I: PPO. CoRR abs/2307.04964 (2023) - [i59]James Enouen, Tianshu Sun, Yan Liu:
Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments. CoRR abs/2309.01780 (2023) - [i58]Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu:
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. CoRR abs/2310.04948 (2023) - [i57]Chuizheng Meng, Yihe Dong, Sercan Ö. Arik, Yan Liu, Tomas Pfister:
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning. CoRR abs/2311.00886 (2023) - [i56]James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister:
TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents. CoRR abs/2312.01279 (2023) - [i55]Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Jun Zhao, Wei Shen, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Xiaoran Fan, Shiliang Pu, Jiang Zhu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang:
LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment. CoRR abs/2312.09979 (2023) - 2022
- [j30]Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu, Loc Trinh, Dani Kiyasseh, Timothy N. Chu, Elyssa Y. Wong, Ryan S. Lee, Ivan Rodriguez, Gina Demeo, Aditya Desai, Maxwell X. Otiato, Sidney I. Roberts, Jessica H. Nguyen, Jasper Laca, Yan Liu, Katarina Urbanova, Christian Wagner, Animashree Anandkumar, Jim C. Hu, Andrew J. Hung:
Surgical gestures as a method to quantify surgical performance and predict patient outcomes. npj Digit. Medicine 5 (2022) - [j29]Le Xie, Tong Huang, Xiangtian Zheng, Yan Liu, Mengdi Wang, Vijay Vittal, P. R. Kumar, Srinivas Shakkottai, Yi Cui:
Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality. Patterns 3(12): 100640 (2022) - [j28]Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu:
Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data. ACM Trans. Spatial Algorithms Syst. 8(2): 1-30 (2022) - [c131]Sirisha Rambhatla, Zhengping Che, Yan Liu:
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding. AAAI 2022: 8045-8053 - [c130]Yizhou Zhang, Zhaoheng Zheng, Ram Nevatia, Yan Liu:
Improving Weakly Supervised Scene Graph Parsing through Object Grounding. ICPR 2022: 4058-4064 - [c129]Karishma Sharma, Emilio Ferrara, Yan Liu:
Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election. ICWSM 2022: 908-919 - [c128]Karishma Sharma, Yizhou Zhang, Yan Liu:
COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives. ICWSM 2022: 920-931 - [c127]Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu:
Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. IJCAI 2022: 2189-2195 - [c126]James Enouen, Yan Liu:
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection. NeurIPS 2022 - [c125]Yizhou Zhang, Defu Cao, Yan Liu:
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media. NeurIPS 2022 - [c124]Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu:
Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. PAKDD (1) 2022: 68-80 - [c123]Karishma Sharma, Emilio Ferrara, Yan Liu:
Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. WWW 2022: 3755-3764 - [i54]Karishma Sharma, Emilio Ferrara, Yan Liu:
Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. CoRR abs/2202.12413 (2022) - [i53]Chuizheng Meng, Sungyong Seo, Defu Cao, Sam Griesemer, Yan Liu:
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning. CoRR abs/2203.16797 (2022) - [i52]James Enouen, Yan Liu:
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection. CoRR abs/2209.09326 (2022) - [i51]Yizhou Zhang, Defu Cao, Yan Liu:
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media. CoRR abs/2210.07518 (2022) - [i50]Le Xie, Tong Huang, Xiangtian Zheng, Yan Liu, Mengdi Wang, Vijay Vittal, P. R. Kumar, Srinivas Shakkottai, Yi Cui:
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality. CoRR abs/2211.04584 (2022) - [i49]Defu Cao, Yousef El-Laham, Loc Trinh, Svitlana Vyetrenko, Yan Liu:
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift. CoRR abs/2211.11513 (2022) - 2021
- [j27]Nitin Kamra, Yizhou Zhang, Sirisha Rambhatla, Chuizheng Meng, Yan Liu:
PolSIRD: Modeling Epidemic Spread Under Intervention Policies. J. Heal. Informatics Res. 5(3): 231-248 (2021) - [c122]Sirisha Rambhatla, Samantha Huang, Loc Trinh, Mengfei Zhang, Boyuan Long, Mingtao Dong, Vyom Unadkat, Haig Yenikomshian, Justin Gillenwater, Yan Liu:
DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning. AMIA 2021 - [c121]Nan Xu, Nitin Kamra, Yan Liu:
Treatment Recommendation with Preference-based Reinforcement Learning. ICBK 2021: 117-124 - [c120]Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu:
Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. ICWSM 2021: 668-679 - [c119]Loc Trinh, Yan Liu:
An Examination of Fairness of AI Models for Deepfake Detection. IJCAI 2021: 567-574 - [c118]Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu:
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. IJCAI 2021: 2943-2949 - [c117]Chuizheng Meng, Sirisha Rambhatla, Yan Liu:
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. KDD 2021: 1202-1211 - [c116]Karishma Sharma, Yizhou Zhang, Emilio Ferrara, Yan Liu:
Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours. KDD 2021: 1441-1451 - [c115]Yizhou Zhang, Karishma Sharma, Yan Liu:
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media. NeurIPS 2021: 3218-3231 - [c114]Nitin Kamra, Yan Liu:
Gradient-based optimization for multi-resource spatial coverage problems. UAI 2021: 1885-1894 - [c113]Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu:
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes. WACV 2021: 1972-1982 - [i48]Chuizheng Meng, Loc Trinh, Nan Xu, Yan Liu:
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset. CoRR abs/2102.06761 (2021) - [i47]Michael Tsang, James Enouen, Yan Liu:
Interpretable Artificial Intelligence through the Lens of Feature Interaction. CoRR abs/2103.03103 (2021) - [i46]Loc Trinh, Yan Liu:
An Examination of Fairness of AI Models for Deepfake Detection. CoRR abs/2105.00558 (2021) - [i45]Chuizheng Meng, Sirisha Rambhatla, Yan Liu:
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. CoRR abs/2106.05223 (2021) - [i44]Karishma Sharma, Yizhou Zhang, Yan Liu:
COVID-19 Vaccines: Characterizing Misinformation Campaigns and Vaccine Hesitancy on Twitter. CoRR abs/2106.08423 (2021) - [i43]Karishma Sharma, Emilio Ferrara, Yan Liu:
Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election. CoRR abs/2107.08319 (2021) - [i42]Xiangtian Zheng, Nan Xu, Loc Trinh, Dongqi Wu, Tong Huang, S. Sivaranjani, Yan Liu, Le Xie:
PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids. CoRR abs/2110.06324 (2021) - [i41]Yizhou Zhang, Karishma Sharma, Yan Liu:
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media. CoRR abs/2110.15454 (2021) - 2020
- [j26]Rajesh Gupta, Yan Liu:
KDD 2020 Highlights. SIGKDD Explor. 22(2): 1 (2020) - [c112]Max Guangyu Li, Bo Jiang, Hao Zhu, Zhengping Che, Yan Liu:
Generative Attention Networks for Multi-Agent Behavioral Modeling. AAAI 2020: 7195-7202 - [c111]Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz:
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. ECCV (27) 2020: 737-753 - [c110]Hongzhi Shi, Quanming Yao, Qi Guo, Yaguang Li, Lingyu Zhang, Jieping Ye, Yong Li, Yan Liu:
Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network. ICDE 2020: 1818-1821 - [c109]Sungyong Seo, Chuizheng Meng, Yan Liu:
Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics. ICLR 2020 - [c108]Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu:
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection. ICLR 2020 - [c107]Nitin Kamra, Hao Zhu, Dweep Trivedi, Ming Zhang, Yan Liu:
Multi-agent Trajectory Prediction with Fuzzy Query Attention. NeurIPS 2020 - [c106]Michael Tsang, Sirisha Rambhatla, Yan Liu:
How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions. NeurIPS 2020 - [e2]Rajesh Gupta, Yan Liu, Jiliang Tang, B. Aditya Prakash:
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020. ACM 2020, ISBN 978-1-4503-7998-4 [contents] - [i40]Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz:
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. CoRR abs/2003.06729 (2020) - [i39]Karishma Sharma, Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Aastha Dua, Yan Liu:
Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. CoRR abs/2003.12309 (2020) - [i38]Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu:
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. CoRR abs/2006.08831 (2020) - [i37]Michael Tsang, Sirisha Rambhatla, Yan Liu:
How does this interaction affect me? Interpretable attribution for feature interactions. CoRR abs/2006.10965 (2020) - [i36]Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu:
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection. CoRR abs/2006.10966 (2020) - [i35]Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu:
Interpretable Deepfake Detection via Dynamic Prototypes. CoRR abs/2006.15473 (2020) - [i34]Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu:
Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. CoRR abs/2008.03450 (2020) - [i33]Karishma Sharma, Emilio Ferrara, Yan Liu:
Identifying Coordinated Accounts in Disinformation Campaigns. CoRR abs/2008.11308 (2020) - [i32]Nitin Kamra, Hao Zhu, Dweep Trivedi, Ming Zhang, Yan Liu:
Multi-agent Trajectory Prediction with Fuzzy Query Attention. CoRR abs/2010.15891 (2020) - [i31]Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu:
Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data. CoRR abs/2012.07283 (2020)
2010 – 2019
- 2019
- [j25]Yolanda Gil, Suzanne A. Pierce, Hassan A. Babaie, Arindam Banerjee, Kirk D. Borne, Gary S. Bust, Michelle Cheatham, Imme Ebert-Uphoff, Carla P. Gomes, Mary C. Hill, John D. Horel, Leslie Hsu, Jim Kinter, Craig A. Knoblock, David M. Krum, Vipin Kumar, Pierre F. J. Lermusiaux, Yan Liu, Chris North, Victor Pankratius, Shanan Peters, Beth Plale, Allen Pope, Sai Ravela, Juan Restrepo, Aaron J. Ridley, Hanan Samet, Shashi Shekhar:
Intelligent systems for geosciences: an essential research agenda. Commun. ACM 62(1): 76-84 (2019) - [j24]Zemin Zheng, Mohammad Taha Bahadori, Yan Liu, Jinchi Lv:
Scalable Interpretable Multi-Response Regression via SEED. J. Mach. Learn. Res. 20: 107:1-107:34 (2019) - [j23]Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu:
Combating Fake News: A Survey on Identification and Mitigation Techniques. ACM Trans. Intell. Syst. Technol. 10(3): 21:1-21:42 (2019) - [c105]Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye,