Yan Liu - RankMe

292 papers A* 78A 31B 2C 2Misc 4Journal 124Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	"Someone Hid It": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval. CoRR Jiate Li, Defu Cao, Li Li, Wei Yang, Yuehan Qin, Chenxiao Yu, Tiannuo Yang, Ryan A. Rossi, Yan Liu, Xiyang Hu, Yue Zhao
2026	J	`jnl`	Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning. CoRR Wei Yang, Defu Cao, Jiacheng Pang, Muyan Weng, Yan Liu
2026	—	`ed.`	Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, KDD 2026, Jeju Island, Korea, August 9-13, 2026 KDD (1) Srinivasan Parthasarathy, David F. Gleich, Xiangliang Zhang, Wee Hyong Tok, Faisal Farooq, Qi He, Ambuj K. Singh, Haixun Wang, Yan Liu
2026	J	`jnl`	Sample-Level Prototypical Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. Chuizheng Meng, Jianke Yang, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
2026	J	`jnl`	TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis. Trans. Mach. Learn. Res. Wen Ye, Wei Yang, Defu Cao, Yizhou Zhang, Lumingyuan Tang, Jie Cai, Yan Liu
2026	J	`jnl`	TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks. CoRR Muyan Weng, Defu Cao, Wei Yang, Yashaswi Sharma, Yan Liu
2025	A*	`conf`	A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation. ICLR Can Rong, Jingtao Ding, Yan Liu, Yong Li
2025	—	`conf`	AI and Science Day. KDD (2) Aidong Zhang, Vipin Kumar, Yan Liu
2025	—	`conf`	AI for Supply Chain: Today and Future. KDD (2) Ranak Roy Chowdhury, Yan Liu, Huiming Qu, Qingsong Wen, Chen-Yu Lee, Narendra Agrawal, Alexis Roos
2025	A*	`conf`	Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning. AAAI Shihan Dou, Yan Liu, Enyu Zhou, Songyang Gao, Tianlong Li, Limao Xiong, Xin Zhao, Haoxiang Jia, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
2025	—	`conf`	CartoMapQA: A Fundamental Benchmark Dataset Evaluating Vision-Language Models on Cartographic Map Understanding. SIGSPATIAL/GIS Huy Quang Ung, Guillaume Habault, Yasutaka Nishimura, Hao Niu, Roberto Legaspi, Tomoki Oya, Ryoichi Kojima, Masato Taya, Chihiro Ono, Atsunori Minamikawa, Yan Liu
2025	J	`jnl`	CartoMapQA: A Fundamental Benchmark Dataset Evaluating Vision-Language Models on Cartographic Map Understanding. CoRR Huy Quang Ung, Guillaume Habault, Yasutaka Nishimura, Hao Niu, Roberto Legaspi, Tomoki Oya, Ryoichi Kojima, Masato Taya, Chihiro Ono, Atsunori Minamikawa, Yan Liu
2025	J	`jnl`	Conversational Time Series Foundation Models: Towards Explainable and Effective Forecasting. CoRR Defu Cao, Michael Gee, Jinbo Liu, Hengxuan Wang, Wei Yang, Rui Wang, Yan Liu
2025	J	`jnl`	EnECG: Efficient Ensemble Learning for Electrocardiogram Multi-task Foundation Model. CoRR Yuhao Xu, Xiaoda Wang, Jiaying Lu, Sirui Ding, Defu Cao, Huaxiu Yao, Yan Liu, Xiao Hu, Carl Yang
2025	J	`jnl`	EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving. CoRR Shihan Dou, Ming Zhang, Chenhao Huang, Jiayi Chen, Feng Chen, Shichun Liu, Yan Liu, Chenxiao Liu, Cheng Zhong, Zongzhang Zhang, Tao Gui, Chao Xin, Wei Chengzhi, Lin Yan, Qi Zhang, Yonghui Wu, Xuanjing Huang
2025	J	`jnl`	Foundation Models for Demand Forecasting via Dual-Strategy Ensembling. CoRR Wei Yang, Defu Cao, Yan Liu
2025	—	`conf`	KDD 2025 Panel on AI for Science. KDD (2) Vipin Kumar, Yan Liu, Aidong Zhang
2025	—	`conf`	Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling. ACL (1) Shihan Dou, Jiayi Chen, Chenhao Huang, Feng Chen, Wei Chengzhi, Huiyuan Zheng, Shichun Liu, Yan Liu, Chenxiao Liu, Chao Xin, Lin Yan, Zongzhang Zhang, Tao Gui, Qi Zhang, Xuanjing Huang
2025	J	`jnl`	Physics-based machine learning framework for predicting NOx emissions from compression ignition engines using on-board diagnostics data. CoRR Harish Panneer Selvam, Bharat Jayaprakash, Yan Liu, Shashi Shekhar, William F. Northrop
2025	—	`conf`	SciSoc LLM Workshop: Large Language Models for Scientific and Societal Advances. KDD (2) Wei Jin, Lu Cheng, Wenpeng Yin, Xianfeng Tang, Qingsong Wen, Danai Koutra, B. Aditya Prakash, Yan Liu
2025	A*	`conf`	The AI Revolution in Time Series: Challenges and Opportunites. WWW Yan Liu
2025	J	`jnl`	When LLM Meets Time Series: Can LLMs Perform Multi-Step Time Series Reasoning and Inference. CoRR Wen Ye, Jinbo Liu, Defu Cao, Wei Yang, Yan Liu
2025	—	`conf`	Workshop on Sustainable AI for the Future Web. WWW (Companion Volume) Chang Xu, Yunke Wang, Jianyuan Guo, Daochang Liu, Minjing Dong, Yasmeen M. George, Johan Barthelemy, Yan Liu, Ling Chen
2024	J	`jnl`	A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation. CoRR Can Rong, Jingtao Ding, Yan Liu, Yong Li
2024	A*	`conf`	Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference. NeurIPS Sam Griesemer, Defu Cao, Zijun Cui, Carolina Osorio, Yan Liu
2024	J	`jnl`	Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference. CoRR Sam Griesemer, Defu Cao, Zijun Cui, Carolina Osorio, Yan Liu
2024	A*	`conf`	An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. ICML Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu
2024	J	`jnl`	An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. CoRR Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu
2024	J	`jnl`	Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution. CoRR Wen Ye, Yizhou Zhang, Wei Yang, Lumingyuan Tang, Defu Cao, Jie Cai, Yan Liu
2024	J	`jnl`	Capturing relationships between suturing sub-skills to improve automatic suturing assessment. npj Digit. Medicine Zijun Cui, Runzhuo Ma, Cherine Yang, Anand Malpani, Timothy N. Chu, Ahmed Ghazi, John W. Davis, Brian J. Miles, Clayton Lau, Yan Liu, Andrew J. Hung
2024	J	`jnl`	Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment. CoRR Yan Liu, Xiaoyuan Yi, Xiaokang Chen, Jing Yao, Jingwei Yi, Daoguang Zan, Zheng Liu, Xing Xie, Tsung-Yi Ho
2024	A*	`conf`	GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting. AAAI Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, Yan Liu
2024	—	`conf`	LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin. ACL (1) 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
2024	J	`jnl`	MetaRM: Shifted Distributions Alignment via Meta-Learning. CoRR Shihan Dou, Yan Liu, Enyu Zhou, Tianlong Li, Haoxiang Jia, Limao Xiong, Xin Zhao, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
2024	C	`conf`	Mixture of Projection Experts for Multivariate Long-Term Time Series Forecasting. ICMLA Hao Niu, Guillaume Habault, Defu Cao, Yizhou Zhang, Roberto Legaspi, Huy Quang Ung, James Enouen, Shinya Wada, Chihiro Ono, Atsunori Minamikawa, Yan Liu
2024	—	`conf`	Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization. EMNLP (Findings) Shitong Duan, Xiaoyuan Yi, Peng Zhang, Yan Liu, Zheng Liu, Tun Lu, Xing Xie, Ning Gu
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	J	`jnl`	Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving. CoRR Yizhou Zhang, Lun Du, Defu Cao, Qiang Fu, Yan Liu
2024	J	`jnl`	Secrets of RLHF in Large Language Models Part II: Reward Modeling. CoRR 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
2024	J	`jnl`	StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback. CoRR 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
2024	—	`conf`	StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback. ACL (1) 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
2024	A*	`conf`	TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. ICLR Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
2024	—	`conf`	TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents. ACL (Findings) James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister
2024	A*	`conf`	The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models. ICLR Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho
2024	J	`jnl`	The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models. CoRR Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho
2024	J	`jnl`	TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model. CoRR Defu Cao, Wen Ye, Yizhou Zhang, Yan Liu
2024	—	`conf`	Toward Mitigating Misinformation and Social Media Manipulation in LLM Era. WWW (Companion Volume) Yizhou Zhang, Karishma Sharma, Lun Du, Yan Liu
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
2024	J	`jnl`	Trustworthiness in Retrieval-Augmented Generation Systems: A Survey. CoRR Yujia Zhou, Yan Liu, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Zheng Liu, Chaozhuo Li, Zhicheng Dou, Tsung-Yi Ho, Philip S. Yu
2024	J	`jnl`	What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. CoRR 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
2023	J	`jnl`	COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning. CoRR Chuizheng Meng, Yihe Dong, Sercan Ö. Arik, Yan Liu, Tomas Pfister
2023	—	`conf`	Capturing Cross-Platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns. ECIR (2) Yizhou Zhang, Karishma Sharma, Yan Liu
2023	—	`conf`	DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization. ACL (1) Songyang Gao, Shihan Dou, Yan Liu, Xiao Wang, Qi Zhang, Zhongyu Wei, Jin Ma, Ying Shan
2023	J	`jnl`	DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization. CoRR Songyang Gao, Shihan Dou, Yan Liu, Xiao Wang, Qi Zhang, Zhongyu Wei, Jin Ma, Ying Shan
2023	J	`jnl`	Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model. CoRR Yizhou Zhang, Loc Trinh, Defu Cao, Zijun Cui, Yan Liu
2023	A*	`conf`	Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. AAAI Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu
2023	J	`jnl`	Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. CoRR Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu
2023	J	`jnl`	Estimating Treatment Effects in Continuous Time with Hidden Confounders. CoRR Defu Cao, James Enouen, Yan Liu
2023	A*	`conf`	Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. NeurIPS Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu
2023	—	`conf`	Large Scale Financial Time Series Forecasting with Multi-faceted Model. ICAIF Defu Cao, Yixiang Zheng, Parisa Hassanzadeh, Simran Lamba, Xiaomo Liu, Yan Liu
2023	J	`jnl`	LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment. CoRR 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
2023	J	`jnl`	Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments. CoRR James Enouen, Tianshu Sun, Yan Liu
2023	A*	`conf`	SVGformer: Representation Learning for Continuous Vector Graphics using Transformers. CVPR Defu Cao, Zhaowen Wang, Jose Echevarria, Yan Liu
2023	J	`jnl`	Secrets of RLHF in Large Language Models Part I: PPO. CoRR 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
2023	—	`conf`	Self-supervised Sim-to-Real Kinematics Reconstruction for Video-Based Assessment of Intraoperative Suturing Skills. MICCAI (9) Loc Trinh, Tim Chu, Zijun Cui, Anand Malpani, Cherine Yang, Istabraq Dalieh, Alvin Hui, Oscar Gomez, Yan Liu, Andrew J. Hung
2023	J	`jnl`	TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. CoRR Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
2023	J	`jnl`	TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents. CoRR James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister
2023	A	`conf`	Time-delayed Multivariate Time Series Predictions. SDM Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu
2023	—	`conf`	Uncovering and Categorizing Social Biases in Text-to-SQL. ACL (1) Yan Liu, Yan Gao, Zhe Su, Xiaokang Chen, Elliott Ash, Jian-Guang Lou
2023	J	`jnl`	Uncovering and Categorizing Social Biases in Text-to-SQL. CoRR Yan Liu, Yan Gao, Zhe Su, Xiaokang Chen, Elliott Ash, Jian-Guang Lou
2023	A*	`conf`	Uncovering and Quantifying Social Biases in Code Generation. NeurIPS Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho
2023	J	`jnl`	Uncovering and Quantifying Social Biases in Code Generation. CoRR Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho
2022	A	`conf`	COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives. ICWSM Karishma Sharma, Yizhou Zhang, Yan Liu
2022	A	`conf`	Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election. ICWSM Karishma Sharma, Emilio Ferrara, Yan Liu
2022	A*	`conf`	Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. WWW Karishma Sharma, Emilio Ferrara, Yan Liu
2022	J	`jnl`	Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. CoRR Karishma Sharma, Emilio Ferrara, Yan Liu
2022	A*	`conf`	Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media. NeurIPS Yizhou Zhang, Defu Cao, Yan Liu
2022	J	`jnl`	Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media. CoRR Yizhou Zhang, Defu Cao, Yan Liu
2022	J	`jnl`	DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift. CoRR Defu Cao, Yousef El-Laham, Loc Trinh, Svitlana Vyetrenko, Yan Liu
2022	J	`jnl`	Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality. CoRR Le Xie, Tong Huang, Xiangtian Zheng, Yan Liu, Mengdi Wang, Vijay Vittal, P. R. Kumar, Srinivas Shakkottai, Yi Cui
2022	J	`jnl`	Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality. Patterns Le Xie, Tong Huang, Xiangtian Zheng, Yan Liu, Mengdi Wang, Vijay Vittal, P. R. Kumar, Srinivas Shakkottai, Yi Cui
2022	A*	`conf`	I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding. AAAI Sirisha Rambhatla, Zhengping Che, Yan Liu
2022	B	`conf`	Improving Weakly Supervised Scene Graph Parsing through Object Grounding. ICPR Yizhou Zhang, Zhaoheng Zheng, Ram Nevatia, Yan Liu
2022	—	`conf`	Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. PAKDD (1) Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
2022	A*	`conf`	Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. IJCAI Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
2022	A*	`conf`	Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection. NeurIPS James Enouen, Yan Liu
2022	J	`jnl`	Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection. CoRR James Enouen, Yan Liu
2022	J	`jnl`	Surgical gestures as a method to quantify surgical performance and predict patient outcomes. npj Digit. Medicine 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
2022	J	`jnl`	Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data. ACM Trans. Spatial Algorithms Syst. Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu
2022	J	`jnl`	When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning. CoRR Chuizheng Meng, Sungyong Seo, Defu Cao, Sam Griesemer, Yan Liu
2021	A*	`conf`	An Examination of Fairness of AI Models for Deepfake Detection. IJCAI Loc Trinh, Yan Liu
2021	J	`jnl`	An Examination of Fairness of AI Models for Deepfake Detection. CoRR Loc Trinh, Yan Liu
2021	J	`jnl`	COVID-19 Vaccines: Characterizing Misinformation Campaigns and Vaccine Hesitancy on Twitter. CoRR Karishma Sharma, Yizhou Zhang, Yan Liu
2021	J	`jnl`	Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election. CoRR Karishma Sharma, Emilio Ferrara, Yan Liu
2021	A*	`conf`	Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. KDD Chuizheng Meng, Sirisha Rambhatla, Yan Liu
2021	J	`jnl`	Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. CoRR Chuizheng Meng, Sirisha Rambhatla, Yan Liu
2021	Misc	`conf`	DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning. AMIA Sirisha Rambhatla, Samantha Huang, Loc Trinh, Mengfei Zhang, Boyuan Long, Mingtao Dong, Vyom Unadkat, Haig Yenikomshian, Justin Gillenwater, Yan Liu
2021	A	`conf`	Gradient-based optimization for multi-resource spatial coverage problems. UAI Nitin Kamra, Yan Liu
2021	A*	`conf`	Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours. KDD Karishma Sharma, Yizhou Zhang, Emilio Ferrara, Yan Liu
2021	J	`jnl`	Interpretable Artificial Intelligence through the Lens of Feature Interaction. CoRR Michael Tsang, James Enouen, Yan Liu
2021	A	`conf`	Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes. WACV Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu
2021	J	`jnl`	MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset. CoRR Chuizheng Meng, Loc Trinh, Nan Xu, Yan Liu
2021	A	`conf`	Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. ICWSM Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu
2021	J	`jnl`	PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids. CoRR Xiangtian Zheng, Nan Xu, Loc Trinh, Dongqi Wu, Tong Huang, S. Sivaranjani, Yan Liu, Le Xie
2021	A*	`conf`	Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. IJCAI Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu
2021	J	`jnl`	PolSIRD: Modeling Epidemic Spread Under Intervention Policies. J. Heal. Informatics Res. Nitin Kamra, Yizhou Zhang, Sirisha Rambhatla, Chuizheng Meng, Yan Liu
2021	—	`conf`	Treatment Recommendation with Preference-based Reinforcement Learning. ICBK Nan Xu, Nitin Kamra, Yan Liu
2021	A*	`conf`	VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media. NeurIPS Yizhou Zhang, Karishma Sharma, Yan Liu
2021	J	`jnl`	VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media. CoRR Yizhou Zhang, Karishma Sharma, Yan Liu
2020	J	`jnl`	Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. CoRR Karishma Sharma, Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Aastha Dua, Yan Liu
2020	A*	`conf`	Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection. ICLR Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu
2020	J	`jnl`	Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection. CoRR Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu
2020	A*	`conf`	Generative Attention Networks for Multi-Agent Behavioral Modeling. AAAI Max Guangyu Li, Bo Jiang, Hao Zhu, Zhengping Che, Yan Liu
2020	A*	`conf`	How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions. NeurIPS Michael Tsang, Sirisha Rambhatla, Yan Liu
2020	J	`jnl`	How does this interaction affect me? Interpretable attribution for feature interactions. CoRR Michael Tsang, Sirisha Rambhatla, Yan Liu
2020	J	`jnl`	Identifying Coordinated Accounts in Disinformation Campaigns. CoRR Karishma Sharma, Emilio Ferrara, Yan Liu
2020	J	`jnl`	Interpretable Deepfake Detection via Dynamic Prototypes. CoRR Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu
2020	A*	`ed.`	KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020 KDD Rajesh Gupta, Yan Liu, Jiliang Tang, B. Aditya Prakash
2020	J	`jnl`	KDD 2020 Highlights. SIGKDD Explor. Rajesh Gupta, Yan Liu
2020	A*	`conf`	Multi-agent Trajectory Prediction with Fuzzy Query Attention. NeurIPS Nitin Kamra, Hao Zhu, Dweep Trivedi, Ming Zhang, Yan Liu
2020	J	`jnl`	Multi-agent Trajectory Prediction with Fuzzy Query Attention. CoRR Nitin Kamra, Hao Zhu, Dweep Trivedi, Ming Zhang, Yan Liu
2020	J	`jnl`	Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. CoRR Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu
2020	—	`conf`	NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. ECCV (27) Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz
2020	J	`jnl`	NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. CoRR Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz
2020	A*	`conf`	Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics. ICLR Sungyong Seo, Chuizheng Meng, Yan Liu
2020	J	`jnl`	Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. CoRR Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu
2020	A*	`conf`	Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network. ICDE Hongzhi Shi, Quanming Yao, Qi Guo, Yaguang Li, Lingyu Zhang, Jieping Ye, Yong Li, Yan Liu
2020	J	`jnl`	Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data. CoRR Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu
2019	A*	`conf`	CoSTCo: A Neural Tensor Completion Model for Sparse Tensors. KDD Hanpeng Liu, Yaguang Li, Michael Tsang, Yan Liu
2019	J	`jnl`	Combating Fake News: A Survey on Identification and Mitigation Techniques. CoRR Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu
2019	J	`jnl`	Combating Fake News: A Survey on Identification and Mitigation Techniques. ACM Trans. Intell. Syst. Technol. Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu
2019	J	`jnl`	D CoRR Zhengping Che, Max Guangyu Li, Tracy Li, Bo Jiang, Xuefeng Shi, Xinsheng Zhang, Ying Lu, Guobin Wu, Yan Liu, Jieping Ye
2019	—	`conf`	DBUS: Human Driving Behavior Understanding System. ICCV Workshops Max Guangyu Li, Bo Jiang, Zhengping Che, Xuefeng Shi, Mengyao Liu, Yiping Meng, Jieping Ye, Yan Liu
2019	A	`conf`	Deep Fictitious Play for Games with Continuous Action Spaces. AAMAS Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe
2019	—	`conf`	DeepFP for Finding Nash Equilibrium in Continuous Action Spaces. GameSec Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe
2019	J	`jnl`	Extracting Interpretable Concept-Based Decision Trees from CNNs. CoRR Conner Chyung, Michael Tsang, Yan Liu
2019	J	`jnl`	Intelligent systems for geosciences: an essential research agenda. Commun. ACM 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
2019	J	`jnl`	Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting. CoRR Xu Geng, Xiyu Wu, Lingyu Zhang, Qiang Yang, Yan Liu, Jieping Ye
2019	A	`conf`	Recommendation-based Team Formation for On-demand Taxi-calling Platforms. CIKM Lingyu Zhang, Tianshu Song, Yongxin Tong, Zimu Zhou, Dan Li, Wei Ai, Lulu Zhang, Guobin Wu, Yan Liu, Jieping Ye
2019	J	`jnl`	Scalable Interpretable Multi-Response Regression via SEED. J. Mach. Learn. Res. Zemin Zheng, Mohammad Taha Bahadori, Yan Liu, Jinchi Lv
2019	A*	`conf`	Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting. AAAI Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu
2018	—	`conf`	Automatically Inferring Data Quality for Spatiotemporal Forecasting. ICLR (Poster) Sungyong Seo, Arash Mohegh, George Ban-Weiss, Yan Liu
2018	J	`jnl`	Benchmarking deep learning models on large healthcare datasets. J. Biomed. Informatics Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu
2018	J	`jnl`	Can I trust you more? Model-Agnostic Hierarchical Explanations. CoRR Michael Tsang, Youbang Sun, Dongxu Ren, Yan Liu
2018	—	`conf`	Detecting Statistical Interactions from Neural Network Weights. ICLR (Poster) Michael Tsang, Dehua Cheng, Yan Liu
2018	—	`conf`	Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting. ICLR (Poster) Yaguang Li, Rose Yu, Cyrus Shahabi, Yan Liu
2018	J	`jnl`	DynGEM: Deep Embedding Method for Dynamic Graphs. CoRR Palash Goyal, Nitin Kamra, Xinran He, Yan Liu
2018	A*	`conf`	Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series. ICML Zhengping Che, Sanjay Purushotham, Max Guangyu Li, Bo Jiang, Yan Liu
2018	A	`conf`	Matrix completability analysis via graph k-connectivity. AISTATS Dehua Cheng, Natali Ruchansky, Yan Liu
2018	A*	`conf`	Multi-task Representation Learning for Travel Time Estimation. KDD Yaguang Li, Kun Fu, Zheng Wang, Cyrus Shahabi, Jieping Ye, Yan Liu
2018	A*	`conf`	Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability. NeurIPS Michael Tsang, Hanpeng Liu, Sanjay Purushotham, Pavankumar Murali, Yan Liu
2018	A*	`conf`	Neural User Response Generator: Fake News Detection with Collective User Intelligence. IJCAI Feng Qian, Chengyue Gong, Karishma Sharma, Yan Liu
2018	C	`conf`	Partially Generative Neural Networks for Gang Crime Classification with Partial Information. AIES Sungyong Seo, Hau Chan, P. Jeffrey Brantingham, Jorja Leap, Phebe Vayanos, Milind Tambe, Yan Liu
2018	A*	`conf`	Policy Learning for Continuous Space Security Games Using Neural Networks. AAAI Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe
2018	A	`ed.`	Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018 WSDM Yi Chang, ChengXiang Zhai, Yan Liu, Yoelle Maarek
2018	A*	`conf`	SIGIR 2018 Workshop on Intelligent Transportation Informatics. SIGIR Yan Liu, Zhenhui Li, Wei Ai, Lingyu Zhang
2018	A	`conf`	Tensor Regression Meets Gaussian Processes. AISTATS Rose Yu, Max Guangyu Li, Yan Liu
2017	J	`jnl`	Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets. CoRR Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu
2017	A*	`conf`	Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. ICDM Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu
2017	J	`jnl`	Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. CoRR Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu
2017	A	`conf`	CSI: A Hybrid Deep Model for Fake News Detection. CIKM Natali Ruchansky, Sungyong Seo, Yan Liu
2017	J	`jnl`	CSI: A Hybrid Deep Model for Fake News. CoRR Natali Ruchansky, Sungyong Seo, Yan Liu
2017	J	`jnl`	Deep Generative Dual Memory Network for Continual Learning. CoRR Nitin Kamra, Umang Gupta, Yan Liu
2017	Misc	`conf`	Deep Learning Solutions for Classifying Patients on Opioid Use. AMIA Zhengping Che, Jennifer L. St. Sauver, Hongfang Liu, Yan Liu
2017	—	`conf`	Deep Learning Solutions to Computational Phenotyping in Health Care. ICDM Workshops Zhengping Che, Yan Liu
2017	A	`conf`	Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting. SDM Rose Yu, Yaguang Li, Cyrus Shahabi, Ugur Demiryurek, Yan Liu
2017	J	`jnl`	Detecting Statistical Interactions from Neural Network Weights. CoRR Michael Tsang, Dehua Cheng, Yan Liu
2017	J	`jnl`	Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding. CoRR Zhengping Che, Yu Cheng, Zhaonan Sun, Yan Liu
2017	J	`jnl`	Graph Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting. CoRR Yaguang Li, Rose Yu, Cyrus Shahabi, Yan Liu
2017	A	`conf`	Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction. RecSys Sungyong Seo, Jing Huang, Hao Yang, Yan Liu
2017	—	`conf`	Low-Rank tensor regression: Scalability and applications. CAMSAP Yan Liu
2017	A	`conf`	Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation Priors. WSDM Xinran He, Yan Liu
2017	A	`conf`	Social Media Anomaly Detection: Challenges and Solutions. WSDM Yan Liu, Sanjay Chawla
2017	—	`ch.`	Spatiotemporal Analysis of Social Media Data. Encyclopedia of GIS Rose Yu, Yan Liu
2017	J	`jnl`	Tensor Regression Meets Gaussian Processes. CoRR Rose Yu, Max Guangyu Li, Yan Liu
2017	—	`ch.`	Time Series Feature Learning with Applications to Health Care. Mobile Health - Sensors, Analytic Methods, and Applications Zhengping Che, Sanjay Purushotham, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Robinder G. Khemani, Yan Liu
2017	—	`conf`	Variational Recurrent Adversarial Deep Domain Adaptation. ICLR (Poster) Sanjay Purushotham, Wilka Carvalho, Tanachat Nilanon, Yan Liu
2016	J	`jnl`	A Survey on Social Media Anomaly Detection. CoRR Rose Yu, Huida Qiu, Zhen Wen, Ching-Yung Lin, Yan Liu
2016	J	`jnl`	A Survey on Social Media Anomaly Detection. SIGKDD Explor. Rose Yu, Huida Qiu, Zhen Wen, Ching-Yung Lin, Yan Liu
2016	A	`conf`	Geographic Segmentation via Latent Poisson Factor Model. WSDM Rose Yu, Andrew Gelfand, Suju Rajan, Cyrus Shahabi, Yan Liu
2016	J	`jnl`	Inferring Social Strength from Spatiotemporal Data. ACM Trans. Database Syst. Huy Pham, Cyrus Shahabi, Yan Liu
2016	Misc	`conf`	Interpretable Deep Models for ICU Outcome Prediction. AMIA Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu
2016	A*	`conf`	Latent Space Model for Road Networks to Predict Time-Varying Traffic. KDD Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu, Rose Yu, Yan Liu
2016	J	`jnl`	Latent Space Model for Road Networks to Predict Time-Varying Traffic. CoRR Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu, Rose Yu, Yan Liu
2016	—	`conf`	Learning Influence Functions from Incomplete Observations. NIPS Xinran He, Ke Xu, David Kempe, Yan Liu
2016	J	`jnl`	Learning Influence Functions from Incomplete Observations. CoRR Xinran He, Ke Xu, David Kempe, Yan Liu
2016	A*	`conf`	Learning from Multiway Data: Simple and Efficient Tensor Regression. ICML Rose Yu, Yan Liu
2016	J	`jnl`	Learning from Multiway Data: Simple and Efficient Tensor Regression. CoRR Qi Rose Yu, Yan Liu
2016	J	`jnl`	Lifecycle Modeling for Buzz Temporal Pattern Discovery. ACM Trans. Knowl. Discov. Data Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu
2016	—	`conf`	Normal / Abnormal Heart Sound Recordings Classification Using Convolutional Neural Network. CinC Tanachat Nilanon, Sanjay Purushotham, Yan Liu
2016	J	`jnl`	On Bochner's and Polya's Characterizations of Positive-Definite Kernels and the Respective Random Feature Maps. CoRR Jie Chen, Dehua Cheng, Yan Liu
2016	J	`jnl`	Recurrent Neural Networks for Multivariate Time Series with Missing Values. CoRR Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David A. Sontag, Yan Liu
2016	—	`conf`	SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling. NIPS Dehua Cheng, Richard Peng, Yan Liu, Ioakeim Perros
2016	J	`jnl`	The DARPA Twitter Bot Challenge. CoRR V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer, Rand Waltzman, Andrew Stevens, Alexander Dekhtyar, Shuyang Gao, Tad Hogg, Farshad Kooti, Yan Liu, Onur Varol, Prashant Shiralkar, V. G. Vinod Vydiswaran, Qiaozhu Mei, Tim Huang
2016	A*	`conf`	Timeline Summarization from Social Media with Life Cycle Models. IJCAI Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu
2015	A*	`conf`	Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams. ICML Rose Yu, Dehua Cheng, Yan Liu
2015	Misc	`conf`	Causal Phenotype Discovery via Deep Networks. AMIA David C. Kale, Zhengping Che, Mohammad Taha Bahadori, Wenzhe Li, Yan Liu, Randall C. Wetzel
2015	A*	`conf`	Deep Computational Phenotyping. KDD Zhengping Che, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Yan Liu
2015	J	`jnl`	Distilling Knowledge from Deep Networks with Applications to Healthcare Domain. CoRR Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu
2015	A*	`conf`	Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification. COLT Dehua Cheng, Yu Cheng, Yan Liu, Richard Peng, Shang-Hua Teng
2015	A*	`conf`	Functional Subspace Clustering with Application to Time Series. ICML Mohammad Taha Bahadori, David C. Kale, Yingying Fan, Yan Liu
2015	J	`jnl`	GLAD: Group Anomaly Detection in Social Media Analysis. ACM Trans. Knowl. Discov. Data Rose Yu, Xinran He, Yan Liu
2015	A*	`conf`	HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades. ICML Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu
2015	A	`conf`	Hierarchical Active Transfer Learning. SDM David C. Kale, Marjan Ghazvininejad, Anil Ramakrishna, Jingrui He, Yan Liu
2015	A	`conf`	Model Selection for Topic Models via Spectral Decomposition. AISTATS Dehua Cheng, Xinran He, Yan Liu
2015	J	`jnl`	Scalable Multivariate Time-Series Models for Climate Informatics. Comput. Sci. Eng. Yan Liu
2015	A*	`conf`	Social Media Anomaly Detection: Challenges and Solutions. KDD Yan Liu, Sanjay Chawla
2015	J	`jnl`	Spectral Sparsification of Random-Walk Matrix Polynomials. CoRR Dehua Cheng, Yu Cheng, Yan Liu, Richard Peng, Shang-Hua Teng
2014	J	`jnl`	A general framework for scalable transductive transfer learning. Knowl. Inf. Syst. Mohammad Taha Bahadori, Yan Liu, Dan Zhang
2014	A*	`conf`	An Examination of Multivariate Time Series Hashing with Applications to Health Care. ICDM David C. Kale, Dian Gong, Zhengping Che, Yan Liu, Gérard G. Medioni, Randall C. Wetzel, Patrick Ross
2014	J	`jnl`	Analyzing the Number of Latent Topics via Spectral Decomposition. CoRR Dehua Cheng, Xinran He, Yan Liu
2014	A*	`conf`	FBLG: a simple and effective approach for temporal dependence discovery from time series data. KDD Dehua Cheng, Mohammad Taha Bahadori, Yan Liu
2014	—	`conf`	Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning. NIPS Mohammad Taha Bahadori, Qi Rose Yu, Yan Liu
2014	J	`jnl`	GLAD: Group Anomaly Detection in Social Media Analysis- Extended Abstract. CoRR Qi Yu, Xinran He, Yan Liu
2014	A*	`conf`	GLAD: group anomaly detection in social media analysis. KDD Qi Rose Yu, Xinran He, Yan Liu
2014	A	`conf`	Linking Heterogeneous Input Spaces with Pivots for Multi-Task Learning. SDM Jingrui He, Yan Liu, Qiang Yang
2014	A*	`conf`	Parallel gibbs sampling for hierarchical dirichlet processes via gamma processes equivalence. KDD Dehua Cheng, Yan Liu
2014	J	`jnl`	Reports on the 2013 AAAI Fall Symposium Series. AI Mag. Gully Burns, Yolanda Gil, Yan Liu, Natalia Villanueva-Rosales, Sebastian Risi, Joel Lehman, Jeff Clune, Christian Lebiere, Paul S. Rosenbloom, Frank van Harmelen, James A. Hendler, Pascal Hitzler, Krzysztof Janowicz, Samarth Swarup
2014	—	`conf`	Scalable Heterogeneous Transfer Ranking. BigMine Mohammad Taha Bahadori, Yi Chang, Bo Long, Yan Liu
2014	J	`jnl`	Scalable Parallel Factorizations of SDD Matrices and Efficient Sampling for Gaussian Graphical Models. CoRR Dehua Cheng, Yu Cheng, Yan Liu, Richard Peng, Shang-Hua Teng
2014	A*	`conf`	Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery. ICDM Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu
2014	J	`jnl`	What is Tumblr: A Statistical Overview and Comparison. CoRR Yi Chang, Lei Tang, Yoshiyuki Inagaki, Yan Liu
2014	J	`jnl`	What is Tumblr: a statistical overview and comparison. SIGKDD Explor. Yi Chang, Lei Tang, Yoshiyuki Inagaki, Yan Liu
2014	—	`conf`	Which Tweets Will Be Headlines? A Hierarchical Bayesian Model for Bridging Social Media and Traditional Media. SNAKDD Dan Zhang, Yan Liu, Luo Si
2013	A	`conf`	An Examination of Practical Granger Causality Inference. SDM Yan Liu, Mohammad Taha Bahadori
2013	—	`conf`	Capturing Data Analytics Expertise with Visualizations in Workflows. AAAI Fall Symposia David C. Kale, Samuel Di, Yan Liu, Yolanda Gil
2013	—	`conf`	EBM: an entropy-based model to infer social strength from spatiotemporal data. SIGMOD Conference Huy Pham, Cyrus Shahabi, Yan Liu
2013	A*	`conf`	Fast structure learning in generalized stochastic processes with latent factors. KDD Mohammad Taha Bahadori, Yan Liu, Eric P. Xing
2013	J	`jnl`	Improving recency ranking using twitter data. ACM Trans. Intell. Syst. Technol. Yi Chang, Anlei Dong, Pranam Kolari, Ruiqiang Zhang, Yoshiyuki Inagaki, Fernando Diaz, Hongyuan Zha, Yan Liu
2013	—	`conf`	Organizing Committee. AAAI Fall Symposia Gully A. P. C. Burns, Yolanda Gil, Yan Liu, Natalia Villanueva-Rosales
2013	—	`conf`	Preface. AAAI Fall Symposia Gully A. P. C. Burns, Yolanda Gil, Yan Liu, Natalia Villanueva-Rosales
2013	A	`conf`	Towards Twitter context summarization with user influence models. WSDM Yi Chang, Xuanhui Wang, Qiaozhu Mei, Yan Liu
2013	J	`jnl`	Transfer Topic Modeling with Ease and Scalability CoRR Jeon-Hyung Kang, Jun Ma, Yan Liu
2012	J	`jnl`	Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems CoRR Sanjay Purushotham, Yan Liu, C.-C. Jay Kuo
2012	A*	`conf`	Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems. ICML Sanjay Purushotham, Yan Liu
2012	A*	`conf`	Community discovery and profiling with social messages. KDD Wenjun Zhou, Hongxia Jin, Yan Liu
2012	A	`conf`	Granger Causality Analysis in Irregular Time Series. SDM Mohammad Taha Bahadori, Yan Liu
2012	A*	`conf`	Granger Causality for Time-Series Anomaly Detection. ICDM Huida Qiu, Yan Liu, Niranjan A. Subrahmanya, Weichang Li
2012	—	`conf`	On Causality Inference in Time Series. AAAI Fall Symposium: Discovery Informatics Mohammad Taha Bahadori, Yan Liu
2012	J	`jnl`	Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling CoRR Yan Liu, Mohammad Taha Bahadori, Hongfei Li
2012	A*	`conf`	Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling. ICML Yan Liu, Mohammad Taha Bahadori, Hongfei Li
2012	A	`conf`	Transfer Topic Modeling with Ease and Scalability. SDM Jeon-Hyung Kang, Jun Ma, Yan Liu
2011	—	`conf`	A Framework for Efficient Data Analytics through Automatic Configuration and Customization of Scientific Workflows. eScience Matheus Hauder, Yolanda Gil, Yan Liu
2011	A*	`conf`	Detecting Multilingual and Multi-Regional Query Intent in Web Search. AAAI Yi Chang, Ruiqiang Zhang, Srihari Reddy, Yan Liu
2011	J	`jnl`	Introduction to Special Issue on Large-Scale Data Mining. ACM Trans. Knowl. Discov. Data Jimeng Sun, Yan Liu, Jie Tang, Chid Apté
2011	A*	`conf`	Latent graphical models for quantifying and predicting patent quality. KDD Yan Liu, Pei-yun Hseuh, Rick Lawrence, Steve Meliksetian, Claudia Perlich, Alejandro Veen
2011	A*	`conf`	Learning with Minimum Supervision: A General Framework for Transductive Transfer Learning. ICDM Mohammad Taha Bahadori, Yan Liu, Dan Zhang
2011	—	`conf`	Making data analysis expertise broadly accessible through workflows. WORKS@SC Matheus Hauder, Yolanda Gil, Ricky J. Sethi, Yan Liu, Hyunjoon Jo
2011	A*	`conf`	Multi-view transfer learning with a large margin approach. KDD Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence
2011	—	`conf`	Multiple Instance Learning on Structured Data. NIPS Dan Zhang, Yan Liu, Luo Si, Jian Zhang, Richard D. Lawrence
2011	A*	`conf`	Serendipitous learning: learning beyond the predefined label space. KDD Dan Zhang, Yan Liu, Luo Si
2011	J	`jnl`	Temporal Graphical Models for Cross-Species Gene Regulatory Network Discovery. J. Bioinform. Comput. Biol. Yan Liu, Alexandru Niculescu-Mizil, Aurélie C. Lozano, Yong Lu
2011	A*	`conf`	Transfer Latent Semantic Learning: Microblog Mining with Less Supervision. AAAI Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan
2010	—	`conf`	ALPOS: A Machine Learning Approach for Analyzing Microblogging Data. ICDM Workshops Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan
2010	A	`conf`	Collaboration analytics: mining work patterns from collaboration activities. CIKM Qihua Wang, Hongxia Jin, Yan Liu
2010	A*	`conf`	Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis. AAAI Xi Chen, Yan Liu, Han Liu, Jaime G. Carbonell
2010	A*	`conf`	Learning Temporal Causal Graphs for Relational Time-Series Analysis. ICML Yan Liu, Alexandru Niculescu-Mizil, Aurélie C. Lozano, Yong Lu
2010	J	`jnl`	Medical data mining: insights from winning two competitions. Data Min. Knowl. Discov. Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu
2009	J	`jnl`	Conditional Graphical Models for Protein Structural Motif Recognition. J. Comput. Biol. Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele
2009	A	`conf`	Graph-based transfer learning. CIKM Jingrui He, Yan Liu, Richard D. Lawrence
2009	J	`jnl`	Grouped graphical Granger modeling for gene expression regulatory networks discovery. Bioinform. Aurélie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset
2009	A*	`conf`	Grouped graphical Granger modeling methods for temporal causal modeling. KDD Aurélie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset
2009	A*	`conf`	Learning dynamic temporal graphs for oil-production equipment monitoring system. KDD Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
2009	A	`conf`	Proximity-Based Anomaly Detection Using Sparse Structure Learning. SDM Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe, Yan Liu
2009	A*	`conf`	Spatial-temporal causal modeling for climate change attribution. KDD Aurélie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe
2009	A*	`conf`	Topic-link LDA: joint models of topic and author community. ICML Yan Liu, Alexandru Niculescu-Mizil, Wojciech Gryc
2009	A	`conf`	Who is the expert? Analyzing gaze data to predict expertise level in collaborative applications. ICME Yan Liu, Pei-Yun Hsueh, Jennifer Lai, Mirweis Sangin, Marc-Antoine Nüssli, Pierre Dillenbourg
2009	—	`conf`	Winning the KDD Cup Orange Challenge with Ensemble Selection. KDD Cup Alexandru Niculescu-Mizil, Claudia Perlich, Grzegorz Swirszcz, Vikas Sindhwani, Yan Liu, Prem Melville, Dong Wang, Jing Xiao, Jianying Hu, Moninder Singh, Wei Xiong Shang, Yanfeng Zhu
2008	J	`jnl`	Breast cancer identification: KDD CUP winner's report. SIGKDD Explor. Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset
2008	A*	`conf`	Graph-Based Rare Category Detection. ICDM Jingrui He, Yan Liu, Richard D. Lawrence
2008	J	`jnl`	Harmonium Models for Video Classification. Stat. Anal. Data Min. Jun Yang, Rong Yan, Yan Liu, Eric P. Xing
2007	A*	`conf`	Graph-Based Semi-Supervised Learning as a Generative Model. IJCAI Jingrui He, Jaime G. Carbonell, Yan Liu
2007	A	`conf`	Harmonium Models for Semantic Video Representation and Classification. SDM Jun Yang, Yan Liu, Eric P. Xing, Alexander G. Hauptmann
2007	—	`conf`	Looking for Great Ideas: Analyzing the Innovation Jam. WebKDD/SNAKDD Wojciech Gryc, Mary E. Helander, Richard D. Lawrence, Yan Liu, Claudia Perlich, Chandan K. Reddy, Saharon Rosset
2007	J	`jnl`	Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report. SIGKDD Explor. Saharon Rosset, Claudia Perlich, Yan Liu
2007	J	`jnl`	Predicting who rated what in large-scale datasets. SIGKDD Explor. Yan Liu, Zhenzhen Kou
2007	A*	`conf`	Protein Quaternary Fold Recognition Using Conditional Graphical Models. IJCAI Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele
2007	A*	`conf`	Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions. IJCAI Katharina Probst, Rayid Ghani, Marko Krema, Andrew E. Fano, Yan Liu
2007	A*	`conf`	Temporal causal modeling with graphical granger methods. KDD Andrew Arnold, Yan Liu, Naoki Abe
2007	A	`conf`	Undirected Graphical Models for Video Analysis and Classification. ICME Yan Liu, Jun Yang, Alexander G. Hauptmann
2006	—	`conf`	Extracting and Using Attribute-Value Pairs from Product Descriptions on the Web. WebMine Katharina Probst, Rayid Ghani, Marko Krema, Andy Fano, Yan Liu
2006	J	`jnl`	Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs). J. Comput. Biol. Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan
2006	J	`jnl`	Text mining for product attribute extraction. SIGKDD Explor. Rayid Ghani, Katharina Probst, Yan Liu, Marko Krema, Andrew E. Fano
2005	A*	`conf`	Predicting protein folds with structural repeats using a chain graph model. ICML Yan Liu, Eric P. Xing, Jaime G. Carbonell
2005	B	`conf`	Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition. RECOMB Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan
2004	J	`jnl`	Comparison of probabilistic combination methods for protein secondary structure prediction. Bioinform. Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan
2004	A*	`conf`	Context sensitive vocabulary and its application in protein secondary structure prediction. SIGIR Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan
2004	A*	`conf`	Kernel conditional random fields: representation and clique selection. ICML John D. Lafferty, Xiaojin Zhu, Yan Liu
2003	—	`conf`	A New Pairwise Ensemble Approach for Text Classification. ECML Yan Liu, Jaime G. Carbonell, Rong Jin
2003	—	`conf`	On predicting rare classes with SVM ensembles in scene classification. ICASSP (3) Rong Yan, Yan Liu, Rong Jin, Alexander G. Hauptmann
2002	A	`conf`	Boosting to correct inductive bias in text classification. CIKM Yan Liu, Yiming Yang, Jaime G. Carbonell