Wei Wang - RankMe

465 papers A* 104A 46B 11C 7Misc 13Journal 190Unranked 80

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning. CoRR Xiaoxuan Wang, Han Zhang, Haixin Wang, Yidan Shi, Ruoyan Li, Kaiqiao Han, Chenyi Tong, Haoran Deng, Renliang Sun, Alexander Taylor, Yanqiao Zhu, Jason Cong, Yizhou Sun, Wei Wang
2026	J	`jnl`	ICASSP 2026 URGENT Speech Enhancement Challenge. CoRR Chenda Li, Wei Wang, Marvin Sach, Wangyou Zhang, Kohei Saijo, Samuele Cornell, Yihui Fu, Zhaoheng Ni, Tim Fingscheidt, Shinji Watanabe, Yanmin Qian
2026	J	`jnl`	Representation-Regularized Convolutional Audio Transformer for Audio Understanding. CoRR Bing Han, Chushu Zhou, Yifan Yang, Wei Wang, Chenda Li, Wangyou Zhang, Yanmin Qian
2026	—	`conf`	Self-Guided Diffusion Model for Accelerating Computational Fluid Dynamics. KDD (1) Ruoyan Li, Zijie Huang, Haixin Wang, Guancheng Wan, Yizhou Sun, Wei Wang
2026	J	`jnl`	TaoBench: Do Automated Theorem Prover LLMs Generalize Beyond MathLib? CoRR Alexander K. Taylor, Junyi Zhang, Ethan Ji, Vigyan Sahai, Haikang Deng, Yuanzhou Chen, Yifan Yuan, Di Wu, Jia-Chen Gu, Kai-Wei Chang, Nanyun Peng, Amit Sahai, Wei Wang
2026	J	`jnl`	UrgentMOS: Unified Multi-Metric and Preference Learning for Robust Speech Quality Assessment. CoRR Wei Wang, Wangyou Zhang, Chenda Li, Jiahe Wang, Samuele Cornell, Marvin Sach, Kohei Saijo, Yihui Fu, Zhaoheng Ni, Bing Han, Xun Gong, Mengxiao Bi, Tim Fingscheidt, Shinji Watanabe, Yanmin Qian
2025	J	`jnl`	A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu
2025	J	`jnl`	A Multimodal LLM Approach for Visual Question Answering on Multiparametric 3D Brain MRI. CoRR Arvind Murari Vepa, Yannan Yu, Jingru Gan, Anthony Cuturrufo, Weikai Li, Wei Wang, Fabien Scalzo, Yizhou Sun
2025	—	`conf`	ATHENA: Atherosclerosis through Hierarchical Explainable Neural Network Analysis. BCB Irsyad Adam, Steven Swee, Erika Yilin Zheng, Ethan Ji, William Speier, Ding Wang, Alex Bui, Wei Wang, Karol E. Watson, Peipei Ping
2025	J	`jnl`	Atherosclerosis through Hierarchical Explainable Neural Network Analysis. CoRR Irsyad Adam, Steven S. Raman, Erika Yilin, Ethan Ji, William Speier, Dean Wang, Alex Bui, Wei Wang, Karol E. Watson, Peipei Ping
2025	J	`jnl`	Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics. CoRR Lianhao Zhou, Hongyi Ling, Cong Fu, Yepeng Huang, Michael Sun, Wendi Yu, Xiaoxuan Wang, Xiner Li, Xingyu Su, Junkai Zhang, Xiusi Chen, Chenxing Liang, Xiaofeng Qian, Heng Ji, Wei Wang, Marinka Zitnik, Shuiwang Ji
2025	J	`jnl`	BIASINSPECTOR: Detecting Bias in Structured Data through LLM Agents. CoRR Haoxuan Li, Mingyu Derek Ma, Jen-tse Huang, Zhaotian Weng, Wei Wang, Jieyu Zhao
2025	A	`conf`	Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation. WSDM Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla
2025	J	`jnl`	Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE. CoRR Guancheng Wan, Lucheng Fu, Haoxin Liu, Yiqiao Jin, Hui Yi Leong, Eric Hanchen Jiang, Hejia Geng, Jinhe Bi, Yunpu Ma, Xiangru Tang, B. Aditya Prakash, Yizhou Sun, Wei Wang
2025	J	`jnl`	BioVerge: A Comprehensive Benchmark and Study of Self-Evaluating Agents for Biomedical Hypothesis Generation. CoRR Fuyi Yang, Chenchen Ye, Mingyu Derek Ma, Yijia Xiao, Matthew Yang, Wei Wang
2025	J	`jnl`	Bridge2AI: Building A Cross-disciplinary Curriculum Towards AI-Enhanced Biomedical and Clinical Care. CoRR John Rincon, Alexander Russell Pelletier, Destiny Gilliland, Wei Wang, Ding Wang, Simha Sankar Baradwaj, Lori Scott-Sheldon, Samson Gebreab, William Hersh, Parisa Rashidi, Sally Baxter, Wade Schulz, Trey Ideker, Yael Bensoussan, Paul C. Boutros, Alex A. T. Bui, Colin Walsh, Karol E. Watson, Peipei Ping
2025	J	`jnl`	CORGI: GNNs with Convolutional Residual Global Interactions for Lagrangian Simulation. CoRR Ethan Ji, Yuanzhou Chen, Arush Ramteke, Fang Sun, Tianrun Yu, Jai Parera, Wei Wang, Yizhou Sun
2025	—	`conf`	Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting. BIBM Xiaoda Wang, Yuji Zhao, Kaiqiao Han, Xiao Luo, Sanne van Rooij, Jennifer Stevens, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2025	J	`jnl`	Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting. CoRR Xiaoda Wang, Yuji Zhao, Kaiqiao Han, Xiao Luo, Sanne van Rooij, Jennifer Stevens, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2025	J	`jnl`	Diagnose, Localize, Align: A Full-Stack Framework for Reliable LLM Multi-Agent Systems under Instruction Conflicts. CoRR Guancheng Wan, Leixin Sun, Longxu Dou, Zitong Shi, Fang Wu, Eric Hanchen Jiang, Wenke Huang, Guibin Zhang, Hejia Geng, Xiangru Tang, Zhenfei Yin, Yizhou Sun, Wei Wang
2025	J	`jnl`	Did Models Sufficient Learn? Attribution-Guided Training via Subset-Selected Counterfactual Augmentation. CoRR Yannan Chen, Ruoyu Chen, Bin Zeng, Wei Wang, Shiming Liu, Qunli Zhang, Zheng Hu, Laiyuan Wang, Yaowei Wang, Xiaochun Cao
2025	J	`jnl`	Entropy-Based Adaptive Weighting for Self-Training. CoRR Xiaoxuan Wang, Yihe Deng, Mingyu Derek Ma, Wei Wang
2025	J	`jnl`	Evaluating Large Language Models in Scientific Discovery. CoRR Zhangde Song, Jieyu Lu, Yuanqi Du, Botao Yu, Thomas M. Pruyn, Yue Huang, Kehan Guo, Xiuzhe Luo, Yuanhao Qu, Yi Qu, Yinkai Wang, Haorui Wang, Jeff Guo, Jingru Gan, Parshin Shojaee, Di Luo, Andres M. Bran, Gen Li, Qiyuan Zhao, Shao-Xiong Lennon Luo, Yuxuan Zhang, Xiang Zou, Wanru Zhao, Yifan F. Zhang, Wucheng Zhang, Shunan Zheng, Saiyang Zhang, Sartaaj Takrim Khan, Mahyar Rajabi Kochi, Samantha Paradi-Maropakis, Tony Baltoiu, Fengyu Xie, Tianyang Chen, Kexin Huang, Weiliang Luo, Meijing Fang, Xin Yang, Lixue Cheng, Jiajun He, Soha Hassoun, Xiangliang Zhang, Wei Wang, Chandan K. Reddy, Chao Zhang, Zhiling Zheng, Mengdi Wang, Le Cong, Carla P. Gomes, Chang-Yu Hsieh, Aditya Nandy, Philippe Schwaller, Heather J. Kulik, Haojun Jia, Huan Sun, Seyed Mohamad Moosavi, Chenru Duan
2025	—	`conf`	Exploratory Analysis of the Regulation of Long Non-Coding RNA Transcription with Nucleotide Large Language Models. BIBM Wei Wang, Zhichao Hou, Tianfu Wu, Xiaorui Liu, Xinxia Peng
2025	J	`jnl`	FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation. CoRR Haixin Wang, Ruoyan Li, Fred Xu, Fang Sun, Kaiqiao Han, Zijie Huang, Guancheng Wan, Ching Chang, Xiao Luo, Wei Wang, Yizhou Sun
2025	J	`jnl`	From Coarse to Fine: A Physics-Informed Self-Guided Flow Diffusion Model. CoRR Ruoyan Li, Zijie Huang, Yizhou Sun, Wei Wang
2025	A*	`conf`	GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation. ICML Jiashu He, Mingyu Derek Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro
2025	J	`jnl`	Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics. Trans. Mach. Learn. Res. Fang Sun, Zijie Huang, Haixin Wang, Huacong Tang, Xiao Luo, Wei Wang, Yizhou Sun
2025	—	`conf`	How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective. EMNLP (Findings) Xiao Luo, Changhu Wang, Yizhou Sun, Wei Wang
2025	C	`conf`	Improving Speech Enhancement with Multi-Metric Supervision from Learned Quality Assessment. ASRU Wei Wang, Wangyou Zhang, Chenda Li, Jaitong Shi, Shinji Watanabe, Yanmin Qian
2025	J	`jnl`	Improving Speech Enhancement with Multi-Metric Supervision from Learned Quality Assessment. CoRR Wei Wang, Wangyou Zhang, Chenda Li, Jiatong Shi, Shinji Watanabe, Yanmin Qian
2025	—	`conf`	Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection. ACL (1) Mingyu Derek Ma, Yanna Ding, Zijie Huang, Jianxi Gao, Yizhou Sun, Wei Wang
2025	J	`jnl`	Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection. CoRR Mingyu Derek Ma, Yanna Ding, Zijie Huang, Jianxi Gao, Yizhou Sun, Wei Wang
2025	A	`conf`	Interspeech 2025 URGENT Speech Enhancement Challenge. INTERSPEECH Kohei Saijo, Wangyou Zhang, Samuele Cornell, Robin Scheibler, Chenda Li, Zhaoheng Ni, Anurag Kumar, Marvin Sach, Yihui Fu, Wei Wang, Tim Fingscheidt, Shinji Watanabe
2025	J	`jnl`	Large Language Models Are Innate Crystal Structure Generators. CoRR Jingru Gan, Peichen Zhong, Yuanqi Du, Yanqiao Zhu, Chenru Duan, Haorui Wang, Carla P. Gomes, Kristin A. Persson, Daniel Schwalbe-Koda, Wei Wang
2025	C	`conf`	Less is More: Data Curation Matters in Scaling Speech Enhancement. ASRU Chenda Li, Wangyou Zhang, Wei Wang, Robin Scheibler, Kohei Saijo, Samuele Cornell, Yihui Fu, Marvin Sach, Zhaoheng Ni, Anurag Kumar, Tim Fingscheidt, Shinji Watanabe, Yanmin Qian
2025	J	`jnl`	Less is More: Data Curation Matters in Scaling Speech Enhancement. CoRR Chenda Li, Wangyou Zhang, Wei Wang, Robin Scheibler, Kohei Saijo, Samuele Cornell, Yihui Fu, Marvin Sach, Zhaoheng Ni, Anurag Kumar, Tim Fingscheidt, Shinji Watanabe, Yanmin Qian
2025	A	`conf`	Lessons Learned from the URGENT 2024 Speech Enhancement Challenge. INTERSPEECH Wangyou Zhang, Kohei Saijo, Samuele Cornell, Robin Scheibler, Chenda Li, Zhaoheng Ni, Anurag Kumar, Marvin Sach, Wei Wang, Yihui Fu, Shinji Watanabe, Tim Fingscheidt, Yanmin Qian
2025	J	`jnl`	Lessons Learned from the URGENT 2024 Speech Enhancement Challenge. CoRR Wangyou Zhang, Kohei Saijo, Samuele Cornell, Robin Scheibler, Chenda Li, Zhaoheng Ni, Anurag Kumar, Marvin Sach, Wei Wang, Yihui Fu, Shinji Watanabe, Tim Fingscheidt, Yanmin Qian
2025	J	`jnl`	MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science. CoRR Junkai Zhang, Jingru Gan, Xiaoxuan Wang, Zian Jia, Changquan Gu, Jianpeng Chen, Yanqiao Zhu, Mingyu Derek Ma, Dawei Zhou, Ling Li, Wei Wang
2025	A*	`conf`	Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction. AAAI Mingyu Derek Ma, Xiaoxuan Wang, Yijia Xiao, Anthony Cuturrufo, Vijay S. Nori, Eran Halperin, Wei Wang
2025	J	`jnl`	Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction. CoRR Mingyu Derek Ma, Xiaoxuan Wang, Yijia Xiao, Anthony Cuturrufo, Vijay S. Nori, Eran Halperin, Wei Wang
2025	—	`conf`	MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design. NAACL (System Demonstrations) Jingyuan Qi, Zian Jia, Minqian Liu, Wangzhi Zhan, Junkai Zhang, Xiaofei Wen, Jingru Gan, Jianpeng Chen, Qin Liu, Mingyu Derek Ma, Bangzheng Li, Haohui Wang, Adithya Kulkarni, Muhao Chen, Dawei Zhou, Ling Li, Wei Wang, Lifu Huang
2025	—	`conf`	MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery. KDD (2) Jianpeng Chen, Wangzhi Zhan, Haohui Wang, Zian Jia, Jingru Gan, Junkai Zhang, Jingyuan Qi, Tingwei Chen, Lifu Huang, Muhao Chen, Ling Li, Wei Wang, Dawei Zhou
2025	J	`jnl`	MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery. CoRR Jianpeng Chen, Wangzhi Zhan, Haohui Wang, Zian Jia, Jingru Gan, Junkai Zhang, Jingyuan Qi, Tingwei Chen, Lifu Huang, Muhao Chen, Ling Li, Wei Wang, Dawei Zhou
2025	A*	`conf`	Mixture of In-Context Prompters for Tabular PFNs. ICLR Derek Qiang Xu, F. Olcay Cirit, Reza Asadi, Yizhou Sun, Wei Wang
2025	—	`conf`	Neural Network Pruning for Invariance Learning. KDD (1) Derek Xu, Yuanzhou Chen, Yizhou Sun, Wei Wang
2025	J	`jnl`	OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement. CoRR Yihe Deng, Hritik Bansal, Fan Yin, Nanyun Peng, Wei Wang, Kai-Wei Chang
2025	J	`jnl`	Platform for Representation and Integration of multimodal Molecular Embeddings. CoRR Erika Yilin Zheng, Yu Yan, Simha Sankar Baradwaj, Ethan Ji, Steven S. Raman, Irsyad Adam, Ding Wang, Alexander Russell Pelletier, Alex Bui, Wei Wang, Peipei Ping
2025	J	`jnl`	Preference Leakage: A Contamination Problem in LLM-as-a-judge. CoRR Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, Huan Liu
2025	—	`conf`	Protein Large Language Models: A Comprehensive Survey. EMNLP (Findings) Yijia Xiao, Wanjia Zhao, Junkai Zhang, Yiqiao Jin, Han Zhang, Zhicheng Ren, Renliang Sun, Haixin Wang, Guancheng Wan, Pan Lu, Xiao Luo, Yu Zhang, James Zou, Yizhou Sun, Wei Wang
2025	J	`jnl`	Protein Large Language Models: A Comprehensive Survey. CoRR Yijia Xiao, Wanjia Zhao, Junkai Zhang, Yiqiao Jin, Han Zhang, Zhicheng Ren, Renliang Sun, Haixin Wang, Guancheng Wan, Pan Lu, Xiao Luo, Yu Zhang, James Zou, Yizhou Sun, Wei Wang
2025	A	`conf`	Ranking and Selection of Bias Words for Contextual Bias Speech Recognition. INTERSPEECH Haoxiang Hou, Xun Gong, Wangyou Zhang, Wei Wang, Yanmin Qian
2025	J	`jnl`	Reinforcement Mid-Training. CoRR Yijun Tian, Shaoyu Chen, Zhichao Xu, Yawei Wang, Jinhe Bi, Peng Han, Wei Wang
2025	A*	`conf`	Rethink GraphODE Generalization within Coupled Dynamical System. ICML Guancheng Wan, Zijie Huang, Wanjia Zhao, Xiao Luo, Yizhou Sun, Wei Wang
2025	—	`conf`	ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton. PAKDD (6) Wei-Yao Wang, Wen-Chih Peng, Wei Wang
2025	J	`jnl`	Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation. CoRR Xiaoda Wang, Kaiqiao Han, Yuhao Xu, Xiao Luo, Yizhou Sun, Wei Wang, Carl Yang
2025	J	`jnl`	System-Level Evaluation of Autonomous Vehicle Lane Deployment Strategies Under Mixed Traffic Flow. Syst. Weiyi Long, Wei Wang, Kun Jin
2025	J	`jnl`	Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series. CoRR Ching Chang, Jeehyun Hwang, Yidan Shi, Haixin Wang, Wen-Chih Peng, Tien-Fu Chen, Wei Wang
2025	J	`jnl`	Towards LifeSpan Cognitive Systems. Trans. Mach. Learn. Res. Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian J. McAuley
2025	C	`conf`	URGENT-PK: Perceptually-Aligned Ranking Model Designed for Speech Enhancement Competition. ASRU Jiahe Wang, Chenda Li, Wei Wang, Wangyou Zhang, Samuele Cornell, Marvin Sach, Robin Scheibler, Kohei Saijo, Yihui Fu, Zhaoheng Ni, Anurag Kumar, Tim Fingscheidt, Shinji Watanabe, Yanmin Qian
2025	J	`jnl`	URGENT-PK: Perceptually-Aligned Ranking Model Designed for Speech Enhancement Competition. CoRR Jiahe Wang, Chenda Li, Wei Wang, Wangyou Zhang, Samuele Cornell, Marvin Sach, Robin Scheibler, Kohei Saijo, Yihui Fu, Zhaoheng Ni, Anurag Kumar, Tim Fingscheidt, Shinji Watanabe, Yanmin Qian
2025	C	`conf`	VERSA-v2: A Modular and Scalable Toolkit for Speech and Audio Evaluation with Expanded Metrics, Visualization, and LLM Integration. ASRU Jiatong Shi, Bo-Hao Su, Shikhar Bharadwaj, Yiwen Zhao, Shih-Heng Wang, Jionghao Hang, Haoran Wang, Wei Wang, Wenhao Feng, Yuxun Tang, Nezih Topaloglu, Siddhant Arora, Jinchuan Tian, William Chen, Hye-jin Shim, Wangyou Zhang, Wen-Chin Huang, Shinji Watanabe
2024	A*	`conf`	A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. EMNLP Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han
2024	J	`jnl`	A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. CoRR Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han
2024	J	`jnl`	A Survey on Self-Supervised Learning for Non-Sequential Tabular Data. CoRR Wei-Yao Wang, Wei-Wei Du, Derek Xu, Wei Wang, Wen-Chih Peng
2024	J	`jnl`	Are Large-Language Models Graph Algorithmic Reasoners? CoRR Alexander K. Taylor, Anthony Cuturrufo, Vishal Yathish, Mingyu Derek Ma, Wei Wang
2024	—	`conf`	Band-Wise Front-End Distortion Suppression for Robust Speech Recognition. ISCSLP Siyi Zhao, Wei Wang, Yanmin Qian
2024	—	`conf`	BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. BHI Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Ying Guo, Yang Yang, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2024	J	`jnl`	BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. CoRR Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2024	J	`jnl`	Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models. CoRR Simha Sankar Baradwaj, Destiny Gilliland, Jack Rincon, Henning Hermjakob, Yu Yan, Irsyad Adam, Gwyneth Lemaster, Dean Wang, Karol E. Watson, Alex Bui, Wei Wang, Peipei Ping
2024	J	`jnl`	CLIMB: A Benchmark of Clinical Bias in Large Language Models. CoRR Yubo Zhang, Shudi Hou, Mingyu Derek Ma, Wei Wang, Muhao Chen, Jieyu Zhao
2024	A*	`conf`	Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. WWW Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang
2024	J	`jnl`	Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. CoRR Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang
2024	J	`jnl`	CliBench: Multifaceted Evaluation of Large Language Models in Clinical Decisions on Diagnoses, Procedures, Lab Tests Orders and Prescriptions. CoRR Mingyu Derek Ma, Chenchen Ye, Yu Yan, Xiaoxuan Wang, Peipei Ping, Timothy S. Chang, Wei Wang
2024	—	`conf`	DQ-Whisper: Joint Distillation and Quantization for Efficient Multilingual Speech Recognition. SLT Hang Shao, Bei Liu, Wei Wang, Xun Gong, Yanmin Qian
2024	—	`conf`	Data Science Tasks Implemented with Scripts versus GUI-Based Workflows: The Good, the Bad, and the Ugly. ICDEW Alexander K. Taylor, Yicong Huang, Junheng Hao, Xinyuan Lin, Xiusi Chen, Wei Wang, Chen Li
2024	A*	`conf`	Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach. EMNLP Yanchen Liu, Mingyu Derek Ma, Wenna Qin, Azure Zhou, Jiaao Chen, Weiyan Shi, Wei Wang, Diyi Yang
2024	J	`jnl`	Does Few-Shot Learning Help LLM Performance in Code Synthesis? CoRR Derek Xu, Tong Xie, Botao Xia, Haoyu Li, Yunsheng Bai, Yizhou Sun, Wei Wang
2024	A*	`conf`	Enhancing Large Vision Language Models with Self-Training on Image Comprehension. NeurIPS Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, Quanquan Gu, James Y. Zou, Kai-Wei Chang, Wei Wang
2024	J	`jnl`	Enhancing Large Vision Language Models with Self-Training on Image Comprehension. CoRR Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, James Zou, Kai-Wei Chang, Wei Wang
2024	—	`conf`	Event Detection from Social Media for Epidemic Prediction. NAACL-HLT Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang
2024	J	`jnl`	Event Detection from Social Media for Epidemic Prediction. CoRR Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang
2024	J	`jnl`	GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation. CoRR Jiashu He, Mingyu Derek Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro
2024	J	`jnl`	Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics. CoRR Fang Sun, Zijie Huang, Haixin Wang, Yadi Cao, Xiao Luo, Wei Wang, Yizhou Sun
2024	A*	`conf`	GraphVis: Boosting LLMs with Visual Knowledge Graph Integration. NeurIPS Yihe Deng, Chenchen Ye, Zijie Huang, Mingyu Derek Ma, Yiwen Kou, Wei Wang
2024	J	`jnl`	Hierarchical Attention Models for Multi-Relational Graphs. CoRR Roshni G. Iyer, Wei Wang, Yizhou Sun
2024	—	`conf`	Improving Event Definition Following For Zero-Shot Event Detection. ACL (1) Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng
2024	J	`jnl`	Improving Event Definition Following For Zero-Shot Event Detection. CoRR Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng
2024	J	`jnl`	Inverse designing metamaterials with programmable nonlinear functional responses in graph space. CoRR Marco Maurizi, Derek Xu, Yu-Tong Wang, Desheng Yao, David Hahn, Mourad Oudich, Anish Satpati, Mathieu Bauchy, Wei Wang, Yizhou Sun, Yun Jing, Xiaoyu Rayne Zheng
2024	—	`conf`	IterAlign: Iterative Constitutional Alignment of Large Language Models. NAACL-HLT Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang
2024	J	`jnl`	IterAlign: Iterative Constitutional Alignment of Large Language Models. CoRR Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang
2024	A*	`conf`	Large Language Models Can Be Contextual Privacy Protection Learners. EMNLP Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng
2024	A*	`conf`	Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. ICLR Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang
2024	A*	`conf`	MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways. AAAI Mingyu Derek Ma, Alexander K. Taylor, Nuan Wen, Yanchen Liu, Po-Nien Kung, Wenna Qin, Shicheng Wen, Azure Zhou, Diyi Yang, Xuezhe Ma, Nanyun Peng, Wei Wang
2024	J	`jnl`	MIRAI: Evaluating LLM Agents for Event Forecasting. CoRR Chenchen Ye, Ziniu Hu, Yihe Deng, Zijie Huang, Mingyu Derek Ma, Yanqiao Zhu, Wei Wang
2024	J	`jnl`	MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design. CoRR Jingyuan Qi, Zian Jia, Minqian Liu, Wangzhi Zhan, Junkai Zhang, Xiaofei Wen, Jingru Gan, Jianpeng Chen, Qin Liu, Mingyu Derek Ma, Bangzheng Li, Haohui Wang, Adithya Kulkarni, Muhao Chen, Dawei Zhou, Ling Li, Wei Wang, Lifu Huang
2024	—	`conf`	MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. ACL (1) Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang
2024	—	`conf`	Mitigating Bias for Question Answering Models by Tracking Bias Influence. NAACL-HLT Mingyu Derek Ma, Jiun-Yu Kao, Arpit Gupta, Yu-Hsiang Lin, Wenbo Zhao, Tagyoung Chung, Wei Wang, Kai-Wei Chang, Nanyun Peng
2024	J	`jnl`	Mixture of In-Context Prompters for Tabular PFNs. CoRR Derek Xu, Olcay Cirit, Reza Asadi, Yizhou Sun, Wei Wang
2024	J	`jnl`	MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension. CoRR Khiem Le, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni G. Iyer, Xiangliang Zhang, Olaf Wiest, Wei Wang, Nitesh V. Chawla
2024	A*	`conf`	Non-Euclidean Mixture Model for Social Network Embedding. NeurIPS Roshni G. Iyer, Yewen Wang, Wei Wang, Yizhou Sun
2024	J	`jnl`	Non-Euclidean Mixture Model for Social Network Embedding. CoRR Roshni G. Iyer, Yewen Wang, Wei Wang, Yizhou Sun
2024	J	`jnl`	Object Detectors in the Open Environment: Challenges, Solutions, and Outlook. CoRR Siyuan Liang, Wei Wang, Ruoyu Chen, Aishan Liu, Boxi Wu, Ee-Chien Chang, Xiaochun Cao, Dacheng Tao
2024	A*	`conf`	Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling. NeurIPS Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang
2024	J	`jnl`	Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling. CoRR Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang
2024	A	`conf`	PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion. CIKM Xiusi Chen, Wei-Yao Wang, Ziniu Hu, David Reynoso, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang
2024	A*	`conf`	SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness. EMNLP Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng
2024	J	`jnl`	SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness. CoRR Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng
2024	A*	`conf`	STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models. AAAI Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P. Jeffrey Brantingham, Nanyun Peng, Wei Wang
2024	A*	`conf`	SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. ICML Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang
2024	—	`conf`	The PGNSC Benchmark: How Do We Predict Where Information Spreads? ACL (Findings) Alexander Taylor, Wei Wang
2024	J	`jnl`	TinyLLM: Learning a Small Student from Multiple Large Language Models. CoRR Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla
2024	J	`jnl`	Towards LifeSpan Cognitive Systems. CoRR Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian J. McAuley
2023	J	`jnl`	Bi-Level Attention Graph Neural Networks. CoRR Roshni G. Iyer, Wei Wang, Yizhou Sun
2023	J	`jnl`	Can Directed Graph Neural Networks be Adversarially Robust? CoRR Zhichao Hou, Xitong Zhang, Wei Wang, Charu C. Aggarwal, Xiaorui Liu
2023	A*	`conf`	Code Recommendation for Open Source Software Developers. WWW Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang
2023	—	`conf`	Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. ACL (Findings) Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
2023	J	`jnl`	Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. CoRR Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
2023	—	`conf`	DICE: Data-Efficient Clinical Event Extraction with Generative Models. ACL (1) Mingyu Derek Ma, Alexander Taylor, Wei Wang, Nanyun Peng
2023	C	`conf`	FAT-HuBERT: Front-End Adaptive Training of Hidden-Unit BERT For Distortion-Invariant Robust Speech Recognition. ASRU Dongning Yang, Wei Wang, Yanmin Qian
2023	J	`jnl`	FAT-HuBERT: Front-end Adaptive Training of Hidden-unit BERT for Distortion-Invariant Robust Speech Recognition. CoRR Dongning Yang, Wei Wang, Yanmin Qian
2023	Misc	`conf`	Factorized AED: Factorized Attention-Based Encoder-Decoder for Text-Only Domain Adaptive ASR. ICASSP Xun Gong, Wei Wang, Hang Shao, Xie Chen, Yanmin Qian
2023	A	`conf`	Fast and Efficient Multilingual Self-Supervised Pre-training for Low-Resource Speech Recognition. INTERSPEECH Zhilong Zhang, Wei Wang, Yanmin Qian
2023	J	`jnl`	From Scroll to Misbelief: Modeling the Unobservable Susceptibility to Misinformation on Social Media. CoRR Yanchen Liu, Mingyu Derek Ma, Wenna Qin, Azure Zhou, Jiaao Chen, Weiyan Shi, Wei Wang, Diyi Yang
2023	A*	`conf`	Generalizing Graph ODE for Learning Complex System Dynamics across Environments. KDD Zijie Huang, Yizhou Sun, Wei Wang
2023	J	`jnl`	Generalizing Graph ODE for Learning Complex System Dynamics across Environments. CoRR Zijie Huang, Yizhou Sun, Wei Wang
2023	A	`conf`	Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. SDM Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang
2023	J	`jnl`	Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. CoRR Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang
2023	A*	`conf`	Graph-based Molecular Representation Learning. IJCAI Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla
2023	Misc	`conf`	HuBERT-AGG: Aggregated Representation Distillation of Hidden-Unit Bert for Robust Speech Recognition. ICASSP Wei Wang, Yanmin Qian
2023	A	`conf`	InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks. ICWSM Seungbae Kim, Jyun-Yu Jiang, Jinyoung Han, Wei Wang
2023	J	`jnl`	InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks. CoRR Seungbae Kim, Jyun-Yu Jiang, Jinyoung Han, Wei Wang
2023	—	`conf`	Introducing Semantics into Speech Encoders. ACL (1) Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Bing Liu, Akshat Shrivastava, Shang-wen Li, Liang-Hsuan Tseng, Guan-Ting Lin, Alexei Baevski, Hung-yi Lee, Yizhou Sun, Wei Wang
2023	Misc	`conf`	Joint Discriminator and Transfer Based Fast Domain Adaptation For End-To-End Speech Recognition. ICASSP Hang Shao, Tian Tan, Wei Wang, Xun Gong, Yanmin Qian
2023	J	`jnl`	Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge Graphs. CoRR Yijia Xiao, Dylan Steinecke, Alexander Russell Pelletier, Yushi Bai, Peipei Ping, Wei Wang
2023	J	`jnl`	Large Language Models Can Be Good Privacy Protection Learners. CoRR Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, Wei Wang, Wei Cheng
2023	J	`jnl`	Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. CoRR Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang
2023	—	`conf`	Learning under Label Proportions for Text Classification. EMNLP (Findings) Jatin Chauhan, Xiaoxuan Wang, Wei Wang
2023	J	`jnl`	Learning under Label Proportions for Text Classification. CoRR Jatin Chauhan, Xiaoxuan Wang, Wei Wang
2023	J	`jnl`	MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways. CoRR Mingyu Derek Ma, Alexander K. Taylor, Nuan Wen, Yanchen Liu, Po-Nien Kung, Wenna Qin, Shicheng Wen, Azure Zhou, Diyi Yang, Xuezhe Ma, Nanyun Peng, Wei Wang
2023	J	`jnl`	MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. CoRR Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang
2023	J	`jnl`	Mitigating Bias for Question Answering Models by Tracking Bias Influence. CoRR Mingyu Derek Ma, Jiun-Yu Kao, Arpit Gupta, Yu-Hsiang Lin, Wenbo Zhao, Tagyoung Chung, Wei Wang, Kai-Wei Chang, Nanyun Peng
2023	J	`jnl`	PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps. CoRR Rakesh Bal, Yijia Xiao, Wei Wang
2023	J	`jnl`	Professional Basketball Player Behavior Synthesis via Planning with Diffusion. CoRR Xiusi Chen, Wei-Yao Wang, Ziniu Hu, Curtis Chou, Lam Hoang, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang
2023	J	`jnl`	STAR: Boosting Low-Resource Event Extraction by Structure-to-Text Data Generation with Large Language Models. CoRR Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P. Jeffrey Brantingham, Nanyun Peng, Wei Wang
2023	J	`jnl`	SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. CoRR Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang
2023	J	`jnl`	Shuffled Autoregression For Motion Interpolation. CoRR Shuo Huang, Jia Jia, Zongxin Yang, Wei Wang, Haozhe Wu, Yi Yang, Junliang Xing
2023	Misc	`conf`	Shuffled Autoregression for Motion Interpolation. ICASSP Shuo Huang, Jia Jia, Zongxin Yang, Wei Wang, Haozhe Wu, Yi Yang, Junliang Xing
2023	J	`jnl`	ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton. CoRR Wei-Yao Wang, Wen-Chih Peng, Wei Wang, Philip S. Yu
2023	J	`jnl`	TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems. CoRR Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang
2023	A	`conf`	Text Only Domain Adaptation with Phoneme Guided Data Splicing for End-to-End Speech Recognition. INTERSPEECH Wei Wang, Xun Gong, Hang Shao, Dongning Yang, Yanmin Qian
2023	A	`conf`	UniSplice: Universal Cross-Lingual Data Splicing for Low-Resource ASR. INTERSPEECH Wei Wang, Yanmin Qian
2023	A*	`conf`	Universality and Limitations of Prompt Tuning. NeurIPS Yihan Wang, Jatin Chauhan, Wei Wang, Cho-Jui Hsieh
2023	J	`jnl`	Universality and Limitations of Prompt Tuning. CoRR Yihan Wang, Jatin Chauhan, Wei Wang, Cho-Jui Hsieh
2023	J	`jnl`	Unveiling Invariances via Neural Network Pruning. CoRR Derek Xu, Yizhou Sun, Wei Wang
2023	A*	`conf`	Where Does Your News Come From? Predicting Information Pathways in Social Media. SIGIR Alexander K. Taylor, Nuan Wen, Po-Nien Kung, Jiaao Chen, Violet Peng, Wei Wang
2023	J	`jnl`	Whisper-KDQ: A Lightweight Whisper via Guided Knowledge Distillation and Quantization for Efficient ASR. CoRR Hang Shao, Wei Wang, Bei Liu, Xun Gong, Haoyu Wang, Yanmin Qian
2022	B	`conf`	A Bayesian Topic Model for Human-Evaluated Interpretability. LREC Justin Wood, Corey W. Arnold, Wei Wang
2022	J	`jnl`	A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis. CoRR Danfeng Guo, Zijie Huang, Junheng Hao, Yizhou Sun, Wei Wang, Demetri Terzopoulos
2022	J	`jnl`	Code Recommendation for Open Source Software Developers. CoRR Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang
2022	J	`jnl`	DICE: Data-Efficient Clinical Event Extraction with Generative Models. CoRR Mingyu Derek Ma, Alexander Taylor, Wei Wang, Nanyun Peng
2022	A*	`conf`	Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. KDD Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun
2022	J	`jnl`	Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. CoRR Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun
2022	Misc	`conf`	Exploring Effective Data Utilization for Low-Resource Speech Recognition. ICASSP Zhikai Zhou, Wei Wang, Wangyou Zhang, Yanmin Qian
2022	J	`jnl`	Introducing Semantics into Speech Encoders. CoRR Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Akshat Shrivastava, Shang-wen Li, Liang-Hsuan Tseng, Alexei Baevski, Guan-Ting Lin, Hung-yi Lee, Yizhou Sun, Wei Wang
2022	J	`jnl`	Knowledge Source Rankings for Semi-Supervised Topic Modeling. Inf. Justin Wood, Corey W. Arnold, Wei Wang
2022	—	`conf`	Multi-source Inductive Knowledge Graph Transfer. ECML/PKDD (2) Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichuan Li, Wei Wang
2022	—	`conf`	Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. ACL (1) Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang
2022	J	`jnl`	Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. CoRR Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang
2022	J	`jnl`	Multivariate time-series classification with hierarchical variational graph pooling. Neural Networks Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang
2022	B	`conf`	OpBerg: Discovering Causal Sentences Using Optimal Alignments. DaWaK Justin Wood, Nicholas J. Matiasz, Alcino J. Silva, William Hsu, Alexej Abyzov, Wei Wang
2022	Misc	`conf`	Optimizing Alignment of Speech and Language Latent Spaces for End-To-End Speech Recognition and Understanding. ICASSP Wei Wang, Shuo Ren, Yao Qian, Shujie Liu, Yu Shi, Yanmin Qian, Michael Zeng
2022	A*	`conf`	RLogic: Recursive Logical Rule Learning from Knowledge Graphs. KDD Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun
2022	A	`conf`	ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games. CIKM Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang
2022	A	`conf`	Scalable Graph Representation Learning via Locality-Sensitive Hashing. CIKM Xiusi Chen, Jyun-Yu Jiang, Wei Wang
2022	J	`jnl`	Subgraph Matching via Query-Conditioned Subgraph Matching Neural Networks and Bi-Level Tree Search. CoRR Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang
2022	—	`conf`	Text-Informed Knowledge Distillation for Robust Speech Enhancement and Recognition. ISCSLP Wei Wang, Wangyou Zhang, Shaoxiong Lin, Yanmin Qian
2022	Misc	`conf`	The Sjtu System For Multimodal Information Based Speech Processing Challenge 2021. ICASSP Wei Wang, Xun Gong, Yifei Wu, Zhikai Zhou, Chenda Li, Wangyou Zhang, Bing Han, Yanmin Qian
2022	A*	`conf`	Towards Fine-Grained Reasoning for Fake News Detection. AAAI Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie
2021	J	`jnl`	#StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. CoRR Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang
2021	A	`conf`	#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. CIKM Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang
2021	A*	`conf`	Bi-Level Attention Graph Neural Networks. ICDM Roshni G. Iyer, Wei Wang, Yizhou Sun
2021	J	`jnl`	Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases. CoRR Junheng Hao, Chelsea Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang
2021	A*	`conf`	CREATe: Clinical Report Extraction and Annotation Technology. ICDE Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
2021	J	`jnl`	CREATe: Clinical Report Extraction and Annotation Technology. CoRR Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
2021	J	`jnl`	Clinical Named Entity Recognition using Contextualized Token Representations. CoRR Yichao Zhou, Chelsea Ju, J. Harry Caufield, Kevin Shih, Calvin Yu-Chian Chen, Yizhou Sun, Kai-Wei Chang, Peipei Ping, Wei Wang
2021	A*	`conf`	Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. AAAI Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
2021	A*	`conf`	Coupled Graph ODE for Learning Interacting System Dynamics. KDD Zijie Huang, Yizhou Sun, Wei Wang
2021	A	`conf`	Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning. WSDM Seungbae Kim, Jyun-Yu Jiang, Wei Wang
2021	J	`jnl`	Drug-Target Interaction Prediction with Graph Attention networks. CoRR Haiyang Wang, Guangyu Zhou, Siqi Liu, Jyun-Yu Jiang, Wei Wang
2021	A	`conf`	Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning. ICWSM Seungbae Kim, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han, Wei Wang
2021	J	`jnl`	Experiment Selection in Meta-Analytic Piecemeal Causal Discovery. IEEE Access Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva, William Hsu
2021	A*	`conf`	GLSearch: Maximum Common Subgraph Detection via Learning to Search. ICML Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang
2021	J	`jnl`	JEDI: circular RNA prediction based on junction encoders and deep interaction among splice sites. Bioinform. Jyun-Yu Jiang, Chelsea J.-T. Ju, Junheng Hao, Muhao Chen, Wei Wang
2021	A*	`conf`	MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks. KDD Junheng Hao, Chuan Lei, Vasilis Efthymiou, Abdul Quamar, Fatma Özcan, Yizhou Sun, Wei Wang
2021	J	`jnl`	Optimizing Alignment of Speech and Language Latent Spaces for End-to-End Speech Recognition and Understanding. CoRR Wei Wang, Shuo Ren, Yao Qian, Shujie Liu, Yu Shi, Yanmin Qian, Michael Zeng
2021	—	`conf`	Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer. EMNLP (1) Zeyu Li, Yilong Qin, Zihan Liu, Wei Wang
2021	J	`jnl`	Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer. CoRR Zeyu Li, Yilong Qin, Zihan Liu, Wei Wang
2021	—	`conf`	Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction. EMNLP (Findings) Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang
2021	J	`jnl`	Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction. CoRR Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang
2021	J	`jnl`	SEIZE: Runtime Inspection for Parallel Dataflow Systems. IEEE Trans. Parallel Distributed Syst. Youfu Li, Matteo Interlandi, Fotis Psallidas, Wei Wang, Carlo Zaniolo
2021	—	`conf`	The Biased Coin Flip Process for Nonparametric Topic Modeling. ICDAR (2) Justin Wood, Wei Wang, Corey W. Arnold
2021	Misc	`conf`	Towards Data Selection on TTS Data for Children's Speech Recognition. ICASSP Wei Wang, Zhikai Zhou, Yizhou Lu, Hongji Wang, Chenpeng Du, Yanmin Qian
2021	J	`jnl`	Towards Fine-Grained Reasoning for Fake News Detection. CoRR Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie
2021	A*	`conf`	Towards Robustness of Deep Neural Networks via Regularization. ICCV Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh
2021	J	`jnl`	Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. CoRR Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang
2021	A	`conf`	You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation. CIKM Zeyu Li, Wei Cheng, Haiqi Xiao, Wenchao Yu, Haifeng Chen, Wei Wang
2020	A*	`conf`	"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. ACL Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang
2020	J	`jnl`	"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. CoRR Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang
2020	A*	`conf`	Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. WWW Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha
2020	A	`conf`	Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social Networks. WSDM Ruirui Li, Xian Wu, Wei Wang
2020	A	`conf`	Automatic Speaker Recognition with Limited Data. WSDM Ruirui Li, Jyun-Yu Jiang, Jiahao Liu, Chu-Cheng Hsieh, Wei Wang
2020	J	`jnl`	Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. CoRR Yunsheng Bai, Ken Gu, Yizhou Sun, Wei Wang
2020	—	`conf`	Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases. BCB Junheng Hao, Chelsea J.-T. Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang
2020	Misc	`conf`	Bridging Mixture Density Networks with Meta-Learning for Automatic Speaker Identification. ICASSP Ruirui Li, Jyun-Yu Jiang, Xian Wu, Hongda Mao, Chu-Cheng Hsieh, Wei Wang
2020	J	`jnl`	Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. CoRR Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
2020	A*	`conf`	Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems. WWW Jyun-Yu Jiang, Patrick H. Chen, Cho-Jui Hsieh, Wei Wang
2020	J	`jnl`	Correction to: Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang
2020	A*	`conf`	End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms. WWW Jyun-Yu Jiang, Tao Wu, Georgios Roumpos, Heng-Tze Cheng, Xinyang Yi, Ed H. Chi, Harish Ganapathy, Nitin Jindal, Pei Cao, Wei Wang
2020	A*	`conf`	Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. ICDM Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang
2020	J	`jnl`	Fast Detection of Maximum Common Subgraph via Deep Q-Learning. CoRR Yunsheng Bai, Derek Xu, Alex Wang, Ken Gu, Xueqing Wu, Agustin Marinovic, Christopher Ro, Yizhou Sun, Wei Wang
2020	A*	`conf`	Few-Shot Learning for New User Recommendation in Location-based Social Networks. WWW Ruirui Li, Xian Wu, Xiusi Chen, Wei Wang
2020	J	`jnl`	Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning. CoRR Haoyan Xu, Runjian Chen, Yunsheng Bai, Jie Feng, Ziheng Duan, Ke Luo, Yizhou Sun, Wei Wang
2020	A	`conf`	Interpretable Click-Through Rate Prediction through Hierarchical Attention. WSDM Zeyu Li, Wei Cheng, Yang Chen, Haifeng Chen, Wei Wang
2020	A*	`conf`	Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations. NeurIPS Zijie Huang, Yizhou Sun, Wei Wang
2020	J	`jnl`	Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations. CoRR Zijie Huang, Yizhou Sun, Wei Wang
2020	A	`conf`	Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement. CIKM Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani, Wei Wang
2020	J	`jnl`	Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement. CoRR Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani, Wei Wang
2020	A*	`conf`	Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching. AAAI Yunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang
2020	—	`conf`	Long Document Ranking with Query-Directed Sparse Transformer. EMNLP (Findings) Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee, Wei Wang
2020	J	`jnl`	Long Document Ranking with Query-Directed Sparse Transformer. CoRR Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee, Wei Wang
2020	A	`conf`	MARU: Meta-context Aware Random Walks for Heterogeneous Network Representation Learning. CIKM Jyun-Yu Jiang, Zeyu Li, Chelsea J.-T. Ju, Wei Wang
2020	J	`jnl`	Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention. IEEE Access Cheng Zheng, Qin Zhang, Guodong Long, Chengqi Zhang, Sean D. Young, Wei Wang
2020	J	`jnl`	Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang
2020	A*	`conf`	Multimodal Post Attentive Profiling for Influencer Marketing. WWW Seungbae Kim, Jyun-Yu Jiang, Masaki Nakada, Jinyoung Han, Wei Wang
2020	J	`jnl`	Multivariate Time Series Classification with Hierarchical Variational Graph Pooling. CoRR Haoyan Xu, Ziheng Duan, Yunsheng Bai, Yida Huang, Anni Ren, Qianru Yu, Qianru Zhang, Yueyang Wang, Xiaoqian Wang, Yizhou Sun, Wei Wang
2020	—	`conf`	Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution. ECML/PKDD (3) Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
2020	A	`conf`	On-demand Influencer Discovery on Social Media. CIKM Cheng Zheng, Qin Zhang, Sean D. Young, Wei Wang
2020	A	`conf`	P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. CIKM Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun, Wei Wang
2020	J	`jnl`	PolyCluster: Minimum Fragment Disagreement Clustering for Polyploid Phasing. IEEE ACM Trans. Comput. Biol. Bioinform. Sepideh Mazrouee, Wei Wang
2020	A*	`conf`	Recommending Themes for Ad Creative Design via Visual-Linguistic Representations. WWW Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang
2020	J	`jnl`	Recommending Themes for Ad Creative Design via Visual-Linguistic Representations. CoRR Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang
2020	A*	`conf`	Robust Graph Representation Learning via Neural Sparsification. ICML Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
2020	A	`conf`	SEIZE User Desired Moments: Runtime Inspection for Parallel Dataflow Systems. ICDCS Youfu Li, Matteo Interlandi, Fotis Psallidas, Wei Wang, Carlo Zaniolo
2020	A*	`conf`	Social Media User Geolocation via Hybrid Attention. SIGIR Cheng Zheng, Jyun-Yu Jiang, Yichao Zhou, Sean D. Young, Wei Wang
2020	J	`jnl`	Software Language Comprehension using a Program-Derived Semantic Graph. CoRR Roshni G. Iyer, Yizhou Sun, Wei Wang, Justin Gottschlich
2020	—	`conf`	SpEC: Sparse Embedding-Based Community Detection in Attributed Graphs. DASFAA (3) Huidi Chen, Yun Xiong, Changdong Wang, Yangyong Zhu, Wei Wang
2020	A	`ed.`	WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020 WSDM James Caverlee, Xia (Ben) Hu, Mounia Lalmas, Wei Wang
2019	A	`conf`	CORALS: Who Are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions. WSDM Ruirui Li, Jyun-Yu Jiang, Chelsea J.-T. Ju, Wei Wang
2019	A*	`conf`	Click Feedback-Aware Query Recommendation Using Adversarial Examples. WWW Ruirui Li, Liangda Li, Xian Wu, Yunhong Zhou, Wei Wang
2019	J	`jnl`	De novo Nanopore read quality improvement using deep learning. BMC Bioinform. Nathan LaPierre, Rob Egan, Wei Wang, Zhong Wang
2019	—	`conf`	DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks. DASFAA (1) Yun Xiong, Yao Zhang, Hanjie Fu, Wei Wang, Yangyong Zhu, Philip S. Yu
2019	—	`conf`	Enhancing Air Quality Prediction with Social Media and Natural Language Processing. ACL (1) Jyun-Yu Jiang, Xue Sun, Wei Wang, Sean D. Young
2019	A*	`conf`	Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples. IJCAI Ariyam Das, Jin Wang, Sahil M. Gandhi, Jae Lee, Wei Wang, Carlo Zaniolo
2019	A*	`conf`	Learning Robust Representations with Graph Denoising Policy Network. ICDM Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
2019	J	`jnl`	Learning Robust Representations with Graph Denoising Policy Network. CoRR Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
2019	—	`conf`	Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification. EMNLP/IJCNLP (1) Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang
2019	J	`jnl`	Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification. CoRR Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang
2019	A	`conf`	Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices. CIKM Jyun-Yu Jiang, Zehan Chao, Andrea L. Bertozzi, Wei Wang, Sean D. Young, Deanna Needell
2019	J	`jnl`	Multifaceted protein-protein interaction prediction based on Siamese residual RCNN. Bioinform. Muhao Chen, Chelsea J.-T. Ju, Guangyu Zhou, Xuelu Chen, Tianran Zhang, Kai-Wei Chang, Carlo Zaniolo, Wei Wang
2019	—	`conf`	On Generating Dominators of Customer Preferences. IEEE BigData Jiang Bian, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, Zhishan Guo
2019	J	`jnl`	OpBerg: Discovering causal sentences using optimal alignments. CoRR Justin Wood, Nicholas J. Matiasz, Alcino J. Silva, William Hsu, Alexej Abyzov, Wei Wang
2019	A*	`conf`	Personalized Question Routing via Heterogeneous Network Embedding. AAAI Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang
2019	A*	`conf`	Self-Attentive Attributed Network Embedding Through Adversarial Learning. ICDM Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang
2019	A	`conf`	SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. WSDM Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang
2019	A*	`conf`	Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. KDD Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang
2019	A*	`conf`	Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity. IJCAI Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
2019	J	`jnl`	Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity. CoRR Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
2018	B	`ed.`	5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018 DSAA Francesco Bonchi, Foster J. Provost, Tina Eliassi-Rad, Wei Wang, Ciro Cattuto, Rayid Ghani
2018	J	`jnl`	A randomized approach to speed up the analysis of large-scale read-count data in the application of CNV detection. BMC Bioinform. Weibo Wang, Wei Sun, Wei Wang, Jin Szatkiewicz
2018	J	`jnl`	Convolutional Neural Networks for Fast Approximation of Graph Edit Distance. CoRR Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang
2018	J	`jnl`	Convolutional Set Matching for Graph Similarity. CoRR Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang
2018	J	`jnl`	Graph Edit Distance Computation via Graph Neural Networks. CoRR Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang
2018	A*	`conf`	Identifying Users behind Shared Accounts in Online Streaming Services. SIGIR Jyun-Yu Jiang, Cheng-Te Li, Yian Chen, Wei Wang
2018	—	`conf`	Inferring Microbial Communities for City Scale Metagenomics Using Neural Networks. BIBM Guangyu Zhou, Jyun-Yu Jiang, Chelsea J.-T. Ju, Wei Wang
2018	A*	`conf`	Learning Deep Network Representations with Adversarially Regularized Autoencoders. KDD Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang
2018	A*	`conf`	Learning Gender-Neutral Word Embeddings. EMNLP Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang
2018	J	`jnl`	Learning Gender-Neutral Word Embeddings. CoRR Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang
2018	—	`conf`	Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking. NAACL-HLT Jyun-Yu Jiang, Francine Chen, Yan-Ying Chen, Wei Wang
2018	A	`conf`	Modeling Co-Evolution Across Multiple Networks. SDM Wenchao Yu, Charu C. Aggarwal, Wei Wang
2018	A*	`conf`	NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. KDD Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang
2018	A*	`conf`	On Multi-query Local Community Detection. ICDM Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang
2018	—	`conf`	Predicting Disease-related Associations by Heterogeneous Network Embedding. BIBM Yun Xiong, Lu Ruan, Mengjie Guo, Chunlei Tang, Xiangnan Kong, Yangyong Zhu, Wei Wang
2018	A	`conf`	RIN: Reformulation Inference Network for Context-Aware Query Suggestion. CIKM Jyun-Yu Jiang, Wei Wang
2017	J	`jnl`	Aztec: A Platform to Render Biomedical Software Findable, Accessible, Interoperable, and Reusable. CoRR Wei Wang, Brian Bleakley, Chelsea Ju, Vincent Kyi, Patrick Tan, Howard Choi, Xinxin Huang, Yichao Zhou, Justin Wood, Ding Wang, Alex A. T. Bui, Peipei Ping
2017	J	`jnl`	Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience. Frontiers Neuroinformatics Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva, William Hsu
2017	J	`jnl`	Efficient Approach to Correct Read Alignment for Pseudogene Abundance Estimates. IEEE ACM Trans. Comput. Biol. Bioinform. Chelsea J.-T. Ju, Zhuangtian Zhao, Wei Wang
2017	—	`conf`	Event Detection and Summarization Using Phrase Network. ECML/PKDD (3) Sara Melvin, Wenchao Yu, Peng Ju, Sean D. Young, Wei Wang
2017	—	`conf`	Fleximer: Accurate Quantification of RNA-Seq via Variable-Length k-mers. BCB Chelsea J.-T. Ju, Ruirui Li, Zhengliang Wu, Jyun-Yu Jiang, Zhao Yang, Wei Wang
2017	A*	`conf`	Link Prediction with Spatial and Temporal Consistency in Dynamic Networks. IJCAI Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang
2017	A*	`conf`	Open Source Repository Recommendation in Social Coding. SIGIR Jyun-Yu Jiang, Pu-Jen Cheng, Wei Wang
2017	A	`ed.`	Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. SDM Nitesh V. Chawla, Wei Wang
2017	J	`jnl`	Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. ACM Trans. Knowl. Discov. Data Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang
2017	A*	`conf`	Source-LDA: Enhancing Probabilistic Topic Models Using Prior Knowledge Sources. ICDE Justin Wood, Patrick Tan, Wei Wang, Corey W. Arnold
2017	A	`conf`	Temporally Factorized Network Modeling for Evolutionary Network Analysis. WSDM Wenchao Yu, Charu C. Aggarwal, Wei Wang
2017	—	`conf`	Translating literature into causal graphs: Toward automated experiment selection. BIBM Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva, William Hsu
2016	J	`jnl`	CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering. ACM Trans. Knowl. Discov. Data Wei Cheng, Zhishan Guo, Xiang Zhang, Wei Wang
2016	J	`jnl`	HICC: an entropy splitting-based framework for hierarchical co-clustering. Knowl. Inf. Syst. Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang
2016	J	`jnl`	Introduction to the Special Issue of Best Papers in ACM SIGKDD 2014. ACM Trans. Knowl. Discov. Data Wei Wang, Jure Leskovec
2016	J	`jnl`	MSAcquisitionSimulator: data-dependent acquisition simulator for LC-MS shotgun proteomics. Bioinform. Dennis Goldfarb, Wei Wang, Michael B. Major
2016	A*	`conf`	Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. KDD Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang
2016	J	`jnl`	Sparse regression models for unraveling group and individual associations in eQTL mapping. BMC Bioinform. Wei Cheng, Yu Shi, Xiang Zhang, Wei Wang
2016	A*	`conf`	Towards customer trouble tickets resolution automation in large cellular services: demo. MobiCom Ruirui Li, Xinxin Huang, Shuo Song, Jia Wang, Wei Wang
2015	A*	`conf`	Data Science for Social Good - 2014 KDD Highlights. AAAI Wei Wang
2015	J	`jnl`	Fast and robust group-wise eQTL mapping using sparse graphical models. BMC Bioinform. Wei Cheng, Shi Yu, Xiang Zhang, Wei Wang
2015	—	`conf`	HapColor: A graph coloring framework for polyploidy phasing. BIBM Sepideh Mazrouee, Wei Wang
2015	A*	`conf`	Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market. ICDM Wenchao Yu, Ariyam Das, Justin Wood, Wei Wang, Carlo Zaniolo, Ping Luo
2015	A	`conf`	REAFUM: Representative Approximate Frequent Subgraph Mining. SDM Ruirui Li, Wei Wang
2015	A*	`conf`	Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. ICDM Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang
2014	J	`jnl`	A novel multi-alignment pipeline for high-throughput sequencing data. Database J. Biol. Databases Curation Shunping Huang, James Holt, Chia-Yu Kao, Leonard McMillan, Wei Wang
2014	—	`conf`	Big Data, Big Challenges. ICSC Wei Wang
2014	J	`jnl`	FastHap: fast and accurate single individual haplotype reconstruction using fuzzy conflict graphs. Bioinform. Sepideh Mazrouee, Wei Wang
2014	J	`jnl`	Graph-regularized dual Lasso for robust eQTL mapping. Bioinform. Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi, Wei Wang
2014	—	`conf`	Individual haplotyping prediction agreements. BCB Sepideh Mazrouee, Wei Wang
2014	J	`jnl`	Performance research on time-triggered Ethernet based on network calculus. EURASIP J. Wirel. Commun. Netw. Yu Xiang, Wei Wang, Xiang Zhang, Zhenwei Li
2014	—	`ed.`	Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB '14, Newport Beach, California, USA, September 20-23, 2014 BCB Pierre Baldi, Wei Wang
2014	—	`conf`	PseudoLasso: leveraging read alignment in homologous regions to correct pseudogene expression estimates via RNASeq. BCB Chelsea J.-T. Ju, Zhuangtian Zhao, Wei Wang
2014	J	`jnl`	RNA-Skim: a rapid method for RNA-Seq quantification at transcript level. Bioinform. Zhaojun Zhang, Wei Wang
2014	J	`jnl`	Searching Dimension Incomplete Databases. IEEE Trans. Knowl. Data Eng. Wei Cheng, Xiaoming Jin, Jian-Tao Sun, Xuemin Lin, Xiang Zhang, Wei Wang
2014	A*	`ed.`	The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014 KDD Sofus A. Macskassy, Claudia Perlich, Jure Leskovec, Wei Wang, Rayid Ghani
2014	J	`jnl`	Total orderings defined on the set of all fuzzy numbers. Fuzzy Sets Syst. Wei Wang, Zhenyuan Wang
2013	A*	`conf`	Flexible and robust co-regularized multi-domain graph clustering. KDD Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, Wei Wang
2013	J	`jnl`	GeneScissors: a comprehensive approach to detecting and correcting spurious transcriptome inference owing to RNA-seq reads misalignment. Bioinform. Zhaojun Zhang, Shunping Huang, Jack Wang, Xiang Zhang, Fernando Pardo-Manuel de Villena, Leonard McMillan, Wei Wang
2013	—	`ch.`	Grid-Based Clustering. Data Clustering: Algorithms and Applications Wei Cheng, Wei Wang, Sandra Batista
2013	—	`conf`	Read Annotation Pipeline for High-Throughput Sequencing Data. BCB James Holt, Shunping Huang, Leonard McMillan, Wei Wang
2013	—	`conf`	Transforming Genomes Using MOD Files with Applications. BCB Shunping Huang, Chia-Yu Kao, Leonard McMillan, Wei Wang
2012	J	`jnl`	Chapter 10: Mining Genome-Wide Genetic Markers. PLoS Comput. Biol. Xiang Zhang, Shunping Huang, Zhaojun Zhang, Wei Wang
2012	A	`conf`	Dual Transfer Learning. SDM Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang
2012	A	`conf`	Hierarchical co-clustering based on entropy splitting. CIKM Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang
2012	—	`conf`	Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model. BCB Wei Cheng, Xiang Zhang, Yubao Wu, Xiaolin Yin, Jing Li, David Heckerman, Wei Wang
2012	A*	`conf`	Metric Learning from Relative Comparisons by Minimizing Squared Residual. ICDM Eric Yi Liu, Zhishan Guo, Xiang Zhang, Vladimir Jojic, Wei Wang
2012	J	`jnl`	seeQTL: a searchable database for human eQTLs. Bioinform. Kai Xia, Andrey A. Shabalin, Shunping Huang, Vered Madar, Yi-Hui Zhou, Wei Wang, Fei Zou, Wei Sun, Patrick F. Sullivan, Fred A. Wright
2011	A*	`ed.`	11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011 ICDM Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu
2011	—	`ed.`	ACM International Conference on Bioinformatics, Computational Biology and Biomedicine, BCB' 11, Chicago, IL, USA - July 31 - August 03, 2011 BCB Robert Grossman, Andrey Rzhetsky, Sun Kim, Wei Wang
2011	A*	`conf`	Clustering with relative constraints. KDD Eric Yi Liu, Zhaojun Zhang, Wei Wang
2011	—	`ed.`	Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011 ICDM Workshops Myra Spiliopoulou, Haixun Wang, Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu
2011	A*	`conf`	LTS: Discriminative subgraph mining by learning from search history. ICDE Ning Jin, Wei Wang
2011	—	`conf`	Measuring Opinion Relevance in Latent Topic Space. SocialCom/PASSAT Wei Cheng, Xiaochuan Ni, Jian-Tao Sun, Xiaoming Jin, Hye-Chung Kum, Xiang Zhang, Wei Wang
2011	J	`jnl`	Tools for efficient epistasis detection in genome-wide association study. Source Code Biol. Medicine Xiang Zhang, Shunping Huang, Fei Zou, Wei Wang
2010	J	`jnl`	COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study. J. Comput. Biol. Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wang
2010	J	`jnl`	Discriminative Subgraph Mining for Protein Classification. Int. J. Knowl. Discov. Bioinform. Ning Jin, Calvin Young, Wei Wang
2010	J	`jnl`	Efficient genome ancestry inference in complex pedigrees with inbreeding. Bioinform. Eric Yi Liu, Qi Zhang, Leonard McMillan, Fernando Pardo-Manuel de Villena, Wei Wang
2010	—	`ch.`	Finding High-Order Correlations in High-Dimensional Biological Data. Link Mining Xiang Zhang, Feng Pan, Wei Wang
2010	J	`jnl`	Functional neighbors: inferring relationships between nonhomologous protein families using family-specific packing motifs. IEEE Trans. Inf. Technol. Biomed. Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan F. Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha
2010	—	`conf`	GAIA: graph classification using evolutionary computation. SIGMOD Conference Ning Jin, Calvin Young, Wei Wang
2010	—	`conf`	Gene set analysis using principal components. BCB Isa Kemal Pakatci, Wei Wang, Leonard McMillan
2010	—	`conf`	Genome-wide compatible SNP intervals and their properties. BCB Jeremy W. Wang, Kyle J. Moore, Qi Zhang, Fernando Pardo-Manuel de Villena, Wei Wang, Leonard McMillan
2010	—	`ch.`	Mining High-Dimensional Data. Data Mining and Knowledge Discovery Handbook Wei Wang, Jiong Yang
2010	J	`jnl`	TEAM: efficient two-locus epistasis tests in human genome-wide association study. Bioinform. Xiang Zhang, Shunping Huang, Fei Zou, Wei Wang
2010	J	`jnl`	TKDD Special Issue SIGKDD 2009. ACM Trans. Knowl. Discov. Data Wei Wang
2009	B	`conf`	COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study. RECOMB Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wang
2009	J	`jnl`	Efficient algorithms for genome-wide association study. ACM Trans. Knowl. Discov. Data Xiang Zhang, Fei Zou, Wei Wang
2009	Misc	`conf`	FastChi: An Efficient Algorithm for Analyzing Gene-Gene Interactions. Pacific Symposium on Biocomputing Xiang Zhang, Fei Zou, Wei Wang
2009	A	`conf`	Graph classification based on pattern co-occurrence. CIKM Ning Jin, Calvin Young, Wei Wang
2009	A*	`ed.`	ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009 ICDM Wei Wang, Hillol Kargupta, Sanjay Ranka, Philip S. Yu, Xindong Wu
2009	—	`ed.`	ICDM Workshops 2009, IEEE International Conference on Data Mining Workshops, Miami, Florida, USA, 6 December 2009 ICDM Workshops Yücel Saygin, Jeffrey Xu Yu, Hillol Kargupta, Wei Wang, Sanjay Ranka, Philip S. Yu, Xindong Wu
2009	J	`jnl`	Identification of family-specific residue packing motifs and their use for structure-based protein function prediction: I. Method development. J. Comput. Aided Mol. Des. Deepak Bandyopadhyay, Jun Huan, Jan F. Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha
2009	J	`jnl`	Identification of family-specific residue packing motifs and their use for structure-based protein function prediction: II. Case studies and applications. J. Comput. Aided Mol. Des. Deepak Bandyopadhyay, Jun Huan, Jan F. Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha
2009	Misc	`conf`	Inferring Genome-Wide Mosaic Structure. Pacific Symposium on Biocomputing Qi Zhang, Wei Wang, Leonard McMillan, Fernando Pardo-Manuel de Villena, David Threadgill
2009	—	`conf`	Map-matching for low-sampling-rate GPS trajectories. GIS Yin Lou, Chengyang Zhang, Yu Zheng, Xing Xie, Wei Wang, Yan Huang
2009	B	`conf`	Split-Order Distance for Clustering and Classification Hierarchies. SSDBM Qi Zhang, Eric Yi Liu, Abhishek Sarkar, Wei Wang
2009	Misc	`conf`	TreeQA: Quantitative Genome Wide Association Mapping Using Local Perfect Phylogeny Trees. Pacific Symposium on Biocomputing Feng Pan, Leonard McMillan, Fernando Pardo-Manuel de Villena, David Threadgill, Wei Wang
2008	A*	`conf`	A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition. ICDE Feng Pan, Xiang Zhang, Wei Wang
2008	A*	`conf`	Approximate Clustering on Distributed Data Streams. ICDE Qi Zhang, Jinze Liu, Wei Wang
2008	A*	`conf`	CARE: Finding Local Linear Correlations in High Dimensional Data. ICDE Xiang Zhang, Feng Pan, Wei Wang
2008	—	`conf`	CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition. SIGMOD Conference Feng Pan, Xiang Zhang, Wei Wang
2008	—	`ch.`	Efficient Data-Mining Methods Enabling Genome-Wide Computing. Next Generation of Data Mining Wei Wang, Leonard McMillan, David Threadgill, Fernando Pardo-Manuel de Villena
2008	A*	`conf`	Fastanova: an efficient algorithm for genome-wide association study. KDD Xiang Zhang, Fei Zou, Wei Wang
2008	—	`conf`	Functional Neighbors: Inferring Relationships between Non-Homologous Protein Families Using Family-Specific Packing Motifs. BIBM Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan F. Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha
2008	C	`conf`	Genotype Sequence Segmentation: Handling Constraints and Noise. WABI Qi Zhang, Wei Wang, Leonard McMillan, Jan F. Prins, Fernando Pardo-Manuel de Villena, David Threadgill
2008	J	`jnl`	Introduction to special issue on bioinformatics. ACM Trans. Knowl. Discov. Data Mohammed J. Zaki, George Karypis, Jiong Yang, Wei Wang
2008	A*	`conf`	Mining Approximate Order Preserving Clusters in the Presence of Noise. ICDE Mengsheng Zhang, Wei Wang, Jinze Liu
2008	J	`jnl`	Mining non-redundant high order correlations in binary data. Proc. VLDB Endow. Xiang Zhang, Feng Pan, Wei Wang, Andrew B. Nobel
2008	A*	`conf`	Quantitative Association Analysis Using Tree Hierarchies. ICDM Feng Pan, Lynda Yang, Leonard McMillan, Fernando Pardo-Manuel de Villena, David Threadgill, Wei Wang
2008	A	`conf`	REDUS: finding reducible subspaces in high dimensional data. CIKM Xiang Zhang, Feng Pan, Wei Wang
2007	B	`conf`	A Fast Algorithm for Approximate Quantiles in High Speed Data Streams. SSDBM Qi Zhang, Wei Wang
2007	A*	`conf`	Accelerating Profile Queries in Elevation Maps. ICDE Feng Pan, Wei Wang, Leonard McMillan
2007	B	`conf`	An Efficient Algorithm for Mining Coherent Patterns from Heterogeneous Microarrays. SSDBM Xiang Zhang, Wei Wang
2007	A	`conf`	An efficient algorithm for approximate biased quantile computation in data streams. CIKM Qi Zhang, Wei Wang
2007	J	`jnl`	Benchmarking the effectiveness of sequential pattern mining methods. Data Knowl. Eng. Hye-Chung Kum, Joong Hyuk Chang, Wei Wang
2007	A*	`conf`	Graph Database Indexing Using Structured Graph Decomposition. ICDE David W. Williams, Jun Huan, Wei Wang
2007	A*	`conf`	Incremental Subspace Clustering over Multiple Data Streams. ICDM Qi Zhang, Jinze Liu, Wei Wang
2007	—	`conf`	Inferring missing genotypes in large SNP panels using fast nearest-neighbor searches over sliding windows. ISMB/ECCB (Supplement of Bioinformatics) Adam Roberts, Leonard McMillan, Wei Wang, Joel Parker, Ivan Rusyn, David Threadgill
2007	B	`conf`	Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB. PAKDD Hye-Chung Kum, Joong Hyuk Chang, Wei Wang
2007	B	`conf`	Mining RNA Tertiary Motifs with Structure Graphs. SSDBM Xueyi Wang, Jun Huan, Jack Snoeyink, Wei Wang
2007	A	`conf`	On Demand Phenotype Ranking through Subspace Clustering. SDM Xiang Zhang, Wei Wang, Jun Huan
2007	A	`conf`	PoClustering: Lossless Clustering of Dissimilarity Data. SDM Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan F. Prins
2007	A*	`conf`	Sample Selection for Maximal Diversity. ICDM Feng Pan, Adam Roberts, Leonard McMillan, David Threadgill, Wei Wang
2006	—	`ed.`	Advanced Web and Network Technologies, and Applications, APWeb 2006 International Workshops: XRA, IWSN, MEGA, and ICSE, Harbin, China, January 16-18, 2006, Proceedings APWeb Workshops Heng Tao Shen, Jinbao Li, Minglu Li, Jun Ni, Wei Wang
2006	A*	`conf`	Clustering pair-wise dissimilarity data into partially ordered sets. KDD Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan F. Prins
2006	—	`conf`	Human motion estimation from a reduced marker set. SI3D Guodong Liu, Jingdan Zhang, Wei Wang, Leonard McMillan
2006	—	`conf`	Human motion estimation from a reduced marker set. SIGGRAPH Sketches Guodong Liu, Jingdan Zhang, Wei Wang, Leonard McMillan
2006	J	`jnl`	Local Structure Comparison of Proteins. Adv. Comput. Jun Huan, Jan F. Prins, Wei Wang
2006	A	`conf`	Mining Approximate Frequent Itemsets In the Presence of Noise: Algorithm and Analysis. SDM Jinze Liu, Susan Paulsen, Xing Sun, Wei Wang, Andrew B. Nobel, Jan F. Prins
2006	A*	`conf`	Mining Shifting-and-Scaling Co-Regulation Patterns on Gene Expression Profiles. ICDE Xin Xu, Ying Lu, Anthony K. H. Tung, Wei Wang
2006	A	`conf`	Mining coherent patterns from heterogeneous microarray data. CIKM Xiang Zhang, Wei Wang
2006	J	`jnl`	Sequential Pattern Mining in Multi-Databases via Multiple Alignment. Data Min. Knowl. Discov. Hye-Chung Kum, Joong Hyuk Chang, Wei Wang
2005	—	`conf`	A system for analyzing and indexing human-motion databases. SIGMOD Conference Guodong Liu, Jingdan Zhang, Wei Wang, Leonard McMillan
2005	J	`jnl`	An Improved Biclustering Method for Analyzing Gene Expression Profiles. Int. J. Artif. Intell. Tools Jiong Yang, Haixun Wang, Wei Wang, Philip S. Yu
2005	J	`jnl`	BIOKDD 2005 workshop report. SIGKDD Explor. Srinivasan Parthasarathy, Wei Wang, Mohammed Javeed Zaki
2005	—	`ch.`	Comparative Study of Sequential Pattern Mining Models. Foundations of Data Mining and knowledge Discovery Hye-Chung (Monica) Kum, Susan Paulsen, Wei Wang
2005	J	`jnl`	Comparing Graph Representations of Protein Structure for Mining Family-Specific Residue-Based Packing Motifs. J. Comput. Biol. Jun Huan, Deepak Bandyopadhyay, Wei Wang, Jack Snoeyink, Jan F. Prins, Alexander Tropsha
2005	—	`conf`	Fast computation of database operations using graphics processors. SIGGRAPH Courses Naga K. Govindaraju, Brandon Lloyd, Wei Wang, Ming C. Lin, Dinesh Manocha
2005	A*	`conf`	Finding Representative Set from Massive Data. ICDM Feng Pan, Wei Wang, Anthony K. H. Tung, Jiong Yang
2005	J	`jnl`	Guest Editors' Introduction: Special Issue on Mining Biological Data. IEEE Trans. Knowl. Data Eng. Wei Wang, Jiong Yang
2005	A*	`conf`	Mining Approximate Frequent Itemsets from Noisy Data. ICDM Jinze Liu, Susan Paulsen, Wei Wang, Andrew B. Nobel, Jan F. Prins
2005	—	`ch.`	Mining High-Dimensional Data. The Data Mining and Knowledge Discovery Handbook Wei Wang, Jiong Yang
2005	—	`book`	Mining Sequential Patterns from Large Data Sets Wei Wang, Jiong Yang
2005	—	`ed.`	Proceedings of the 5th international workshop on Bioinformatics, BIOKDD 2005, Chicago, Illinois, USA, August 21, 2005 BIOKDD Srinivasan Parthasarathy, Wei Wang, Mohammed J. Zaki
2004	A*	`conf`	A framework for ontology-driven subspace clustering. KDD Jinze Liu, Wei Wang, Jiong Yang
2004	A*	`conf`	AGILE: A General Approach to Detect Transitions in Evolving Data Streams. ICDM Jiong Yang, Wei Wang
2004	Misc	`conf`	Accurate Classification of Protein Structural Families Using Coherent Subgraph Analysis. Pacific Symposium on Biocomputing Jun Huan, Wei Wang, Anglina Washington, Jan F. Prins, Ruchir Shah, Alexander Tropsha
2004	—	`conf`	Adopting IT for Effective Management of Social Welfare Programs. DG.O Dean Duncan, Hye-Chung Kum, Kimberly Flair, Wei Wang
2004	B	`conf`	BASS: Approximate Search on Large String Databases. SSDBM Jiong Yang, Wei Wang, Philip S. Yu
2004	—	`conf`	Biclustering in Gene Expression Data by Tendency. CSB Jinze Liu, Jiong Yang, Wei Wang
2004	J	`jnl`	Discovering High-Order Periodic Patterns. Knowl. Inf. Syst. Jiong Yang, Wei Wang, Philip S. Yu
2004	—	`conf`	Fast Computation of Database Operations using Graphics Processors. SIGMOD Conference Naga K. Govindaraju, Brandon Lloyd, Wei Wang, Ming C. Lin, Dinesh Manocha
2004	—	`conf`	Gene Ontology Friendly Biclustering of Expression Profiles. CSB Jinze Liu, Wei Wang, Jiong Yang
2004	J	`jnl`	Mining Surprising Periodic Patterns. Data Min. Knowl. Discov. Jiong Yang, Wei Wang, Philip S. Yu
2004	B	`conf`	Mining protein family specific residue packing patterns from protein structure graphs. RECOMB Jun Huan, Wei Wang, Deepak Bandyopadhyay, Jack Snoeyink, Jan F. Prins, Alexander Tropsha
2004	A*	`conf`	Revealing True Subspace Clusters in High Dimensions. ICDM Jinze Liu, Karl Strohmaier, Wei Wang
2004	A*	`conf`	SPIN: mining maximal frequent subgraphs from graph databases. KDD Jun Huan, Wei Wang, Jan F. Prins, Jiong Yang
2004	—	`conf`	Successfully Adopting IT for Social Welfare Program Management. DG.O Dean Duncan, Hye-Chung Kum, Kimberly Flair, Wei Wang
2004	—	`conf`	Understanding Social Welfare Service Patterns Using Sequential Analysis. DG.O Hye-Chung Kum, Dean Duncan, Wei Wang
2004	J	`jnl`	WAR: Weighted Association Rules for Item Intensities. Knowl. Inf. Syst. Wei Wang, Jiong Yang, Philip S. Yu
2003	—	`ed.`	Advances in Web-Age Information Management, 4th International Conference, WAIM 2003, Chengdu, China, August 17-19, 2003, Proceedings WAIM Guozhu Dong, Changjie Tang, Wei Wang
2003	A	`conf`	ApproxMAP: Approximate Mining of Consensus Sequential Patterns. SDM Hye-Chung Kum, Jian Pei, Wei Wang, Dean Duncan
2003	A*	`conf`	CLUSEQ: Efficient and Effective Sequence Clustering. ICDE Jiong Yang, Wei Wang
2003	—	`conf`	Discovering Compact and Highly Discriminative Features or Feature Combinations of Drug Activities Using Support Vector Machines. CSB Hwanjo Yu, Jiong Yang, Wei Wang, Jiawei Han
2003	A*	`conf`	Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism. ICDM Jun Huan, Wei Wang, Jan F. Prins
2003	C	`conf`	Enhanced Biclustering on Expression Data. BIBE Jiong Yang, Haixun Wang, Wei Wang, Philip S. Yu
2003	—	`conf`	Management Assistance for Work First via a Dynamic Website. DG.O Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flair, Wei Wang
2003	J	`jnl`	Mining Asynchronous Periodic Patterns in Time Series Data. IEEE Trans. Knowl. Data Eng. Jiong Yang, Wei Wang, Philip S. Yu
2003	A*	`conf`	OP-Cluster: Clustering by Tendency in High Dimensional Space. ICDM Jinze Liu, Wei Wang
2003	J	`jnl`	Recent Progress on Selected Topics in Database Research - A Report by Nine Young Chinese Researchers Working in the United States. J. Comput. Sci. Technol. Zhiyuan Chen, Li Chen, Jian Pei, Yufei Tao, Haixun Wang, Wei Wang, Jiong Yang, Jun Yang, Donghui Zhang
2003	—	`conf`	Reconstruction of Ancestral Gene Order after Segmental Duplication and Gene Loss. CSB Jun Huan, Jan F. Prins, Wei Wang, Todd J. Vision
2003	A	`conf`	STAMP: On Discovery of Statistically Important Pattern Repeats in Long Sequential Data. SDM Jiong Yang, Wei Wang, Philip S. Yu
2003	—	`conf`	Social Welfare Program Administration and Evaluation and Policy Analysis Using Knowledge Discovery and Data Mining (KDD) on Administrative Data. DG.O Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flair, Wei Wang
2002	A*	`conf`	A Framework Towards Efficient and Effective Sequence Clusterin. ICDE Wei Wang, Jiong Yang
2002	—	`conf`	Accelerating Approximate Subsequence Search on Large Protein Sequence Databases. CSB Jiong Yang, Wei Wang, Yi Xia, Philip S. Yu
2002	—	`conf`	Clustering by pattern similarity in large data sets. SIGMOD Conference Haixun Wang, Wei Wang, Jiong Yang, Philip S. Yu
2002	A	`conf`	Efficient Filtering of Large DatasetA User-Centric Paradigm. SDM Yi Xia, Wei Wang, Jiong Yang, Philip S. Yu, Richard R. Muntz
2002	A*	`conf`	InfoMiner+: Mining Partial Periodic Patterns with Gap Penalties. ICDM Jiong Yang, Wei Wang, Philip S. Yu
2002	—	`conf`	Mining long sequential patterns in a noisy environment. SIGMOD Conference Jiong Yang, Wei Wang, Philip S. Yu, Jiawei Han
2002	—	`conf`	Towards Automatic Clustering of Protein Sequences. CSB Jiong Yang, Wei Wang
2002	A*	`conf`	delta-Clusters: Capturing Subspace Correlation in a Large Data Set. ICDE Jiong Yang, Wei Wang, Haixun Wang, Philip S. Yu
2001	A*	`conf`	Infominer: mining surprising periodic patterns. KDD Jiong Yang, Wei Wang, Philip S. Yu
2001	A*	`conf`	Meta-patterns: Revealing Hidden Periodic Patterns. ICDM Wei Wang, Jiong Yang, Philip S. Yu
2001	A*	`conf`	TAR: Temporal Association Rules on Evolving Numerical Attributes. ICDE Wei Wang, Jiong Yang, Richard R. Muntz
2000	J	`jnl`	An Approach to Active Spatial Data Mining Based on Statistical Information. IEEE Trans. Knowl. Data Eng. Wei Wang, Jiong Yang, Richard R. Muntz
2000	A*	`conf`	Collaborative Web caching based on proxy affinities. SIGMETRICS Jiong Yang, Wei Wang, Richard R. Muntz
2000	A	`conf`	Dynamic Adaptive File Management in a Local Area Network. ICDCS Jiong Yang, Wei Wang, Richard R. Muntz, Silvia Nittel
2000	J	`jnl`	Dynamo: design, implementation, and evaluation of cooperative persistent object management in a local area network. Softw. Pract. Exp. Jiong Yang, Wei Wang, Silvia Nittel, Richard R. Muntz, Vince Busam
2000	A*	`conf`	Efficient mining of weighted association rules (WAR). KDD Wei Wang, Jiong Yang, Philip S. Yu
2000	J	`jnl`	Mining Patterns in Long Sequential Data with Noise. SIGKDD Explor. Wei Wang, Jiong Yang, Philip S. Yu
2000	A*	`conf`	Mining asynchronous periodic patterns in time series data. KDD Jiong Yang, Wei Wang, Philip S. Yu
1999	A*	`conf`	STING+: An Approach to Active Spatial Data Mining. ICDE Wei Wang, Jiong Yang, Richard R. Muntz
1998	—	`conf`	DynamO: Dynamic Objects with Persistent Storage. POS/PJW Jiong Yang, Silvia Nittel, Wei Wang, Richard R. Muntz
1998	J	`jnl`	Genetic algorithms for determining fuzzy measures from data. J. Intell. Fuzzy Syst. Wei Wang, Zhenyuan Wang, George J. Klir
1998	—	`conf`	PK-tree: A Spatial Index Structure for High Dimensional Point Data. FODO Wei Wang, Jiong Yang, Richard R. Muntz
1998	J	`jnl`	Performance Analysis of Three Text-Join Algorithms. IEEE Trans. Knowl. Data Eng. Weiyi Meng, Clement T. Yu, Wei Wang, Naphtali Rishe
1997	A*	`conf`	STING: A Statistical Information Grid Approach to Spatial Data Mining. VLDB Wei Wang, Jiong Yang, Richard R. Muntz
1996	J	`jnl`	Monotone set functions defined by Choquet integral. Fuzzy Sets Syst. Zhenyuan Wang, George J. Klir, Wei Wang
1996	A*	`conf`	Performance Analysis of Several Algorithms for Processing Joins between Textual Attributes. ICDE Weiyi Meng, Clement T. Yu, Wei Wang, Naphtali Rishe