The Design of a Monolithic MSTP ASIC. - Peng Wang; Chao Zhang 014; Nan Hua; Depeng Jin; Lieguang Zeng (IEICE Trans. Electron., 2006)

What-you-retrieve-is-what-you-see: a preliminary cyber-physical search engine. - Lidan Shou; Ke Chen 005; Gang Chen 001; Chao Zhang 014; Yi Ma; Xian Zhang (SIGIR, 2011)

Evaluating geo-social influence in location-based social networks. - Chao Zhang 014; Lidan Shou; Ke Chen 005; Gang Chen 001; Yijun Bei (CIKM, 2012)

See-to-retrieve: efficient processing of spatio-visual keyword queries. - Chao Zhang 014; Lidan Shou; Ke Chen 005; Gang Chen 001 (SIGIR, 2012)

Supporting Pattern-Preserving Anonymization for Time-Series Data. - Lidan Shou; Xuan Shang; Ke Chen 005; Gang Chen 001; Chao Zhang 014 (IEEE Trans. Knowl. Data Eng., 2013)

Trendspedia: An Internet observatory for analyzing and visualizing the evolving web. - Wei Kang; Anthony K. H. Tung; Wei Chen 001; Xinyu Li; Qiyue Song; Chao Zhang 014; Feng Zhao 009; Xiajuan Zhou (ICDE, 2014)

Perception-Guided Multimodal Feature Fusion for Photo Aesthetics Assessment. - Luming Zhang; Yue Gao 002; Chao Zhang 014; Hanwang Zhang; Qi Tian 001; Roger Zimmermann (ACM Multimedia, 2014)

Splitter: Mining Fine-Grained Sequential Patterns in Semantic Trajectories. - Chao Zhang 014; Jiawei Han 001; Lidan Shou; Jiajun Lu; Thomas La Porta (Proc. VLDB Endow., 2014)

STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream. - Wei Feng; Chao Zhang 014; Wei Zhang 056; Jiawei Han 001; Jianyong Wang 001; Charu C. Aggarwal; Jianbin Huang (ICDE, 2015)

Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data. - Chao Zhang 014; Yu Zheng 004; Xiuli Ma; Jiawei Han 001 (KDD, 2015)

Fast Inbound Top-K Query for Random Walk with Restart. - Chao Zhang 014; Shan Jiang; Yucheng Chen; Yidan Sun; Jiawei Han 001 (ECML/PKDD (2), 2015)

GMove: Group-Level Mobility Modeling Using Geo-Tagged Social Media. - Chao Zhang 014; Keyang Zhang; Quan Yuan 001; Luming Zhang; Tim Hanratty; Jiawei Han 001 (KDD, 2016)

GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams. - Chao Zhang 014; Guangyu Zhou; Quan Yuan 001; Honglei Zhuang; Yu Zheng 004; Lance M. Kaplan; Shaowen Wang 001; Jiawei Han 001 (SIGIR, 2016)

p-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data. - Julie Yixuan Zhu; Chao Zhang 014; Shi Zhi; Victor O. K. Li; Jiawei Han 001; Yu Zheng 004 (CoRR, 2016)

Mining Contiguous Sequential Generators in Biological Sequences. - Jingsong Zhang; Yinglin Wang; Chao Zhang 014; Yongyong Shi (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Flickr Circles: Aesthetic Tendency Discovery by Multi-View Regularized Topic Modeling. - Richang Hong; Luming Zhang; Chao Zhang 014; Roger Zimmermann (IEEE Trans. Multim., 2016)

Urbanity: A System for Interactive Exploration of Urban Dynamics from Streaming Human Sensing Data. - Mengxiong Liu; Zhengchao Liu; Chao Zhang 014; Keyang Zhang; Quan Yuan 001; Tim Hanratty; Jiawei Han 001 (CIKM, 2017)

SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories. - Di Yao 001; Chao Zhang 014; Jian-Hui Huang; Jingping Bi (CIKM, 2017)

Detecting Multiple Periods and Periodic Patterns in Event Time Sequences. - Quan Yuan 001; Jingbo Shang; Xin Cao 001; Chao Zhang 014; Xinhe Geng; Jiawei Han 001 (CIKM, 2017)

ClaimVerif: A Real-time Claim Verification System Using the Web and Fact Databases. - Shi Zhi; Yicheng Sun; Jiayi Liu 005; Chao Zhang 014; Jiawei Han 001 (CIKM, 2017)

Bringing Semantics to Spatiotemporal Data Mining: Challenges, Methods, and Applications. - Chao Zhang 014; Quan Yuan 001; Jiawei Han 001 (ICDE, 2017)

Trajectory clustering via deep representation learning. - Di Yao 001; Chao Zhang 014; Zhihua Zhu; Jian-Hui Huang; Jingping Bi (IJCNN, 2017)

Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation. - Carl Yang 001; Lanxiao Bai; Chao Zhang 014; Quan Yuan 001; Jiawei Han 001 (KDD, 2017)

TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams. - Chao Zhang 014; Liyuan Liu; Dongming Lei; Quan Yuan 001; Honglei Zhuang; Tim Hanratty; Jiawei Han 001 (KDD, 2017)

ReAct: Online Multimodal Embedding for Recency-Aware Spatiotemporal Activity Modeling. - Chao Zhang 014; Keyang Zhang; Quan Yuan 001; Fangbo Tao; Luming Zhang; Tim Hanratty; Jiawei Han 001 (SIGIR, 2017)

PRED: Periodic Region Detection for Mobility Modeling of Social Media Users. - Quan Yuan 001; Wei Zhang 056; Chao Zhang 014; Xinhe Geng; Gao Cong; Jiawei Han 001 (WSDM, 2017)

Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning. - Chao Zhang 014; Keyang Zhang; Quan Yuan 001; Haoruo Peng; Yu Zheng 004; Tim Hanratty; Shaowen Wang 001; Jiawei Han 001 (WWW, 2017)

RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations. - Shuochao Yao; Yiran Zhao 001; Huajie Shao; Aston Zhang; Chao Zhang 014; Shen Li 002; Tarek F. Abdelzaher (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

SnapVideo: Personalized Video Generation for a Sightseeing Trip. - Luming Zhang; Peiguang Jing; Yuting Su 001; Chao Zhang 014; Ling Shao 001 (IEEE Trans. Cybern., 2017)

Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach. - Chao Zhang 014; Mengxiong Liu; Zhengchao Liu; Carl Yang 001; Luming Zhang; Jiawei Han 001 (AAAI, 2018)

A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling. - Wanzheng Zhu; Chao Zhang 014; Shuochao Yao; Xiaobin Gao; Jiawei Han 001 (AAAI, 2018)

Leveraging the Power of Informative Users for Local Event Detection. - Hengtong Zhang; Fenglong Ma; Yaliang Li; Chao Zhang 014; Tianqi Wang; Yaqing Wang 001; Jing Gao 004; Lu Su 001 (ASONAM, 2018)

Open-Schema Event Profiling for Massive News Corpora. - Quan Yuan 001; Xiang Ren 001; Wenqi He; Chao Zhang 014; Xinhe Geng; Lifu Huang; Heng Ji 001; Chin-Yew Lin; Jiawei Han 001 (CIKM, 2018)

Weakly-Supervised Neural Text Classification. - Yu Meng 001; Jiaming Shen; Chao Zhang 014; Jiawei Han 001 (CIKM, 2018)

ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications. - Shuochao Yao; Yiran Zhao 001; Huajie Shao; Chao Zhang 014; Aston Zhang; Dongxin Liu; Shengzhong Liu; Lu Su 001; Tarek F. Abdelzaher (ICDCS, 2018)

Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding. - Carl Yang 001; Chao Zhang 014; Xuewen Chen; Jieping Ye; Jiawei Han 001 (ICDE, 2018)

Doc2Cube: Allocating Documents to Text Cube Without Labeled Data. - Fangbo Tao; Chao Zhang 014; Xiusi Chen; Meng Jiang 001; Tim Hanratty; Lance M. Kaplan; Jiawei Han 001 (ICDM, 2018)

A Constrained Maximum Likelihood Estimator for Unguided Social Sensing. - Huajie Shao; Shuochao Yao; Yiran Zhao 001; Chao Zhang 014; Jinda Han; Lance M. Kaplan; Lu Su 001; Tarek F. Abdelzaher (INFOCOM, 2018)

HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. - Jiaming Shen; Zeqiu Wu; Dongming Lei; Chao Zhang 014; Xiang Ren 001; Michelle T. Vanni; Brian M. Sadler; Jiawei Han 001 (KDD, 2018)

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. - Yu Shi 002; Qi Zhu 008; Fang Guo; Chao Zhang 014; Jiawei Han 001 (KDD, 2018)

TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. - Chao Zhang 014; Fangbo Tao; Xiusi Chen; Jiaming Shen; Meng Jiang 001; Brian M. Sadler; Michelle Vanni; Jiawei Han 001 (KDD, 2018)

DeepMove: Predicting Human Mobility with Attentional Recurrent Networks. - Jie Feng 002; Yong Li 008; Chao Zhang 014; Funing Sun; Fanchao Meng; Ang Guo; Depeng Jin (WWW, 2018)

Deep Learning for the Internet of Things. - Shuochao Yao; Yiran Zhao 001; Aston Zhang; Shaohan Hu; Huajie Shao; Chao Zhang 014; Lu Su 001; Tarek F. Abdelzaher (Computer, 2018)

Low-Norm Graph Embedding. - Yihan Gao; Chao Zhang 014; Jian Peng 001; Aditya G. Parameswaran (CoRR, 2018)

Learning deep representation for trajectory clustering. - Di Yao 001; Chao Zhang 014; Zhihua Zhu; Qin Hu 001; Zheng Wang 040; Jian-Hui Huang; Jingping Bi (Expert Syst. J. Knowl. Eng., 2018)

SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework. - Shuochao Yao; Yiran Zhao 001; Huajie Shao; Chao Zhang 014; Aston Zhang; Shaohan Hu; Dongxin Liu; Shengzhong Liu; Lu Su 001; Tarek F. Abdelzaher (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data. - Julie Yixuan Zhu; Chao Zhang 014; Huichu Zhang; Shi Zhi; Victor O. K. Li; Jiawei Han 001; Yu Zheng 004 (IEEE Trans. Big Data, 2018)

Engineering Deep Representations for Modeling Aesthetic Perception. - Yanxiang Chen; Yuxing Hu; Luming Zhang; Ping Li 006; Chao Zhang 014 (IEEE Trans. Cybern., 2018)

Perceptually Aware Image Retargeting for Mobile Devices. - Yinzuo Zhou; Luming Zhang; Chao Zhang 014; Ping Li 006; Xuelong Li 001 (IEEE Trans. Image Process., 2018)

GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams. - Chao Zhang 014; Dongming Lei; Quan Yuan 001; Honglei Zhuang; Lance M. Kaplan; Shaowen Wang 001; Jiawei Han 001 (ACM Trans. Intell. Syst. Technol., 2018)

Online Modeling of Esthetic Communities Using Deep Perception Graph Analytics. - Luming Zhang; Maofu Liu; Lei Chen; Lanxin Qiu; Chao Zhang 014; Yuxing Hu; Roger Zimmermann (IEEE Trans. Multim., 2018)

Toward Personalized Activity Level Prediction in Community Question Answering Websites. - Zhenguang Liu; Yingjie Xia; Qi Liu 049; Qinming He; Chao Zhang 014; Roger Zimmermann (ACM Trans. Multim. Comput. Commun. Appl., 2018)

Multi-dimensional mining of unstructured data with limited supervision - Chao Zhang 014 (2018)

Weakly-Supervised Hierarchical Text Classification. - Yu Meng 001; Jiaming Shen; Chao Zhang 014; Jiawei Han 001 (AAAI, 2019)

Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach. - Di Yao 001; Gao Cong; Chao Zhang 014; Jingping Bi (ICDE, 2019)

A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization. - Yucheng Chen; Matus Telgarsky; Chao Zhang 014; Bolton Bailey; Daniel Hsu 001; Jian Peng 001 (ICML, 2019)

State-Sharing Sparse Hidden Markov Models for Personalized Sequences. - Hongzhi Shi; Chao Zhang 014; Quanming Yao; Yong Li 008; Funing Sun; Depeng Jin (KDD, 2019)

Spherical Text Embedding. - Yu Meng 001; Jiaxin Huang 001; Guangyuan Wang; Chao Zhang 014; Honglei Zhuang; Lance M. Kaplan; Jiawei Han 001 (NeurIPS, 2019)

GeoAttn: Localization of Social Media Messages via Attentional Memory Network. - Sha Li; Chao Zhang 014; Dongming Lei; Ji Li; Jiawei Han 001 (SDM, 2019)

Semantics-Aware Hidden Markov Model for Human Mobility. - Hongzhi Shi; Hancheng Cao; Xiangxin Zhou; Yong Li 008; Chao Zhang 014; Vassilis Kostakos; Funing Sun; Fanchao Meng (SDM, 2019)

DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data. - Jie Feng 002; Mingyang Zhang 004; Huandong Wang; Zeyu Yang; Chao Zhang 014; Yong Li 008; Depeng Jin (WWW, 2019)

CatE: Category-Name GuidedWord Embedding. - Yu Meng 001; Jiaxin Huang 001; Guangyuan Wang; Zihan Wang 001; Chao Zhang 014; Jiawei Han 001 (CoRR, 2019)

CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. - Carl Yang 001; Dai Teng; Siyang Liu; Sayantani Basu; Jieyu Zhang 001; Jiaming Shen; Chao Zhang 014; Jingbo Shang; Lance M. Kaplan; Timothy Harratty; Jiawei Han 001 (CoRR, 2019)

Multidimensional Mining of Massive Text Data - Chao Zhang 014; Jiawei Han 001 (Morgan & Claypool Publishers, 2019)

Graph Clustering with Embedding Propagation. - Carl Yang 001; Liyuan Liu; Mengxiong Liu; Zongyi Wang; Chao Zhang 014; Jiawei Han 001 (IEEE BigData, 2020)

Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. - Lingkai Kong; Haoming Jiang; Yuchen Zhuang; Jie Lyu 005; Tuo Zhao; Chao Zhang 014 (EMNLP (1), 2020)

Text Classification Using Label Names Only: A Language Model Self-Training Approach. - Yu Meng 001; Yunyi Zhang 001; Jiaxin Huang 001; Chenyan Xiong; Heng Ji 001; Chao Zhang 014; Jiawei Han 001 (EMNLP (1), 2020)

Denoising Multi-Source Weak Supervision for Neural Text Classification. - Wendi Ren; Yinghao Li; Hanting Su; David Kartchner; Cassie S. Mitchell; Chao Zhang 014 (EMNLP (Findings), 2020)

SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup. - Rongzhi Zhang; Yue Yu 001; Chao Zhang 014 (EMNLP (1), 2020)

SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. - Lingkai Kong; Jimeng Sun 001; Chao Zhang 014 (ICML, 2020)

BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision. - Chen Liang 006; Yue Yu 001; Haoming Jiang; Siawpeng Er; Ruijia Wang; Tuo Zhao; Chao Zhang 014 (KDD, 2020)

Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. - Yu Meng 001; Yunyi Zhang 001; Jiaxin Huang 001; Yu Zhang 044; Chao Zhang 014; Jiawei Han 001 (KDD, 2020)

LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values. - Kejing Yin; Ardavan Afshar; Joyce C. Ho; William K. Cheung 001; Chao Zhang 014; Jimeng Sun 001 (KDD, 2020)

STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. - Yue Yu 001; Yinghao Li; Jiaming Shen; Hao Feng; Jimeng Sun 001; Chao Zhang 014 (KDD, 2020)

FUSE: Multi-faceted Set Expansion by Coherent Clustering of Skip-Grams. - Wanzheng Zhu; Hongyu Gong; Jiaming Shen; Chao Zhang 014; Jingbo Shang; Suma Bhat; Jiawei Han 001 (ECML/PKDD (3), 2020)

Joint Aspect-Sentiment Analysis with Minimal User Guidance. - Honglei Zhuang; Fang Guo; Chao Zhang 014; Liyuan Liu; Jiawei Han 001 (SIGIR, 2020)

Discriminative Topic Mining via Category-Name Guided Text Embedding. - Yu Meng 001; Jiaxin Huang 001; Guangyuan Wang; Zihan Wang 001; Chao Zhang 014; Yu Zhang 044; Jiawei Han 001 (WWW, 2020)

paper2repo: GitHub Repository Recommendation for Academic Papers. - Huajie Shao; Dachun Sun; Jiahao Wu; Zecheng Zhang; Aston Zhang; Shuochao Yao; Shengzhong Liu; Tianshi Wang; Chao Zhang 014; Tarek F. Abdelzaher (WWW, 2020)

Partially-Typed NER Datasets Integration: Connecting Practice to Theory. - Shi Zhi; Liyuan Liu; Yu Zhang 044; Shiyin Wang; Qi Li 012; Chao Zhang 014; Jiawei Han 001 (CoRR, 2020)

Transformer-Based Neural Text Generation with Syntactic Guidance. - Yinghao Li; Rui Feng; Isaac Rehg; Chao Zhang 014 (CoRR, 2020)

Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts. - Yu Meng 001; Jiaxin Huang 001; Guangyuan Wang; Zihan Wang 001; Chao Zhang 014; Jiawei Han 001 (Frontiers Big Data, 2020)

Weakly Supervised Complets Ranking for Deep Image Quality Modeling. - Luming Zhang; Mingliang Xu 001; Jianwei Yin; Chao Zhang 014; Ling Shao 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition. - Yinghao Li; Pranav Shetty; Lucas Liu; Chao Zhang 014; Le Song (ACL/IJCNLP (1), 2021)

Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework. - Yaqing Wang 001; Haoda Chu; Chao Zhang 014; Jing Gao 004 (EMNLP (Findings), 2021)

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach. - Yue Yu 001; Simiao Zuo; Haoming Jiang; Wendi Ren; Tuo Zhao; Chao Zhang 014 (NAACL-HLT, 2021)

When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (NeurIPS, 2021)

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. - Qi Zhu 008; Carl Yang 001; Yidan Xu; Haonan Wang; Chao Zhang 014; Jiawei Han 001 (NeurIPS, 2021)

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization. - Yue Yu 001; Kexin Huang; Chao Zhang 014; Lucas M. Glass; Jimeng Sun 001; Cao Xiao (Bioinform., 2021)

PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation. - Wei Zeng 006; Xiaozhe Ren; Teng Su; Hui Wang 030; Yi Liao; Zhiwei Wang; Xin Jiang 002; ZhenZhang Yang; Kaisheng Wang; Xiaoda Zhang; Chen Li 023; Ziyan Gong; et al. (CoRR, 2021)

ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. - Yue Yu 001; Lingkai Kong; Jieyu Zhang 001; Rongzhi Zhang; Chao Zhang 014 (CoRR, 2021)

Semantics-Aware Hidden Markov Model for Human Mobility. - Hongzhi Shi; Yong Li 008; Hancheng Cao; Xiangxin Zhou; Chao Zhang 014; Vassilis Kostakos (IEEE Trans. Knowl. Data Eng., 2021)

Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. - Rongzhi Zhang; Yue Yu 001; Pranav Shetty; Le Song; Chao Zhang 014 (ACL (1), 2022)

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (IEEE Big Data, 2022)

COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning. - Yue Yu 001; Chenyan Xiong; Si Sun; Chao Zhang 014; Arnold Overwijk (EMNLP, 2022)

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. - Yuchen Zhuang; Yinghao Li; Junyang Zhang; Yue Yu 001; Yingjun Mou; Xiang Chen; Le Song; Chao Zhang 014 (EMNLP, 2022)

Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition. - Yinghao Li; Le Song; Chao Zhang 014 (KDD, 2022)

Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction. - Rongzhi Zhang; Rebecca West; Xiquan Cui; Chao Zhang 014 (KDD, 2022)

Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR. - Ran Xu 002; Yue Yu 001; Chao Zhang 014; Mohammed K. Ali; Joyce C. Ho; Carl Yang 001 (ML4H@NeurIPS, 2022)

CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data. - Rui Feng; Chen Luo 003; Qingyu Yin; Bing Yin; Tuo Zhao; Chao Zhang 014 (NAACL-HLT, 2022)

AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. - Yue Yu 001; Lingkai Kong; Jieyu Zhang 001; Rongzhi Zhang; Chao Zhang 014 (NAACL-HLT, 2022)

Self-Training with Differentiable Teacher. - Simiao Zuo; Yue Yu 001; Chen Liang 006; Haoming Jiang; Siawpeng Er; Chao Zhang 014; Tuo Zhao; Hongyuan Zha (NAACL-HLT (Findings), 2022)

End-to-end Stochastic Optimization with Energy-based Model. - Lingkai Kong; Jiaming Cui; Yuchen Zhuang; Rui Feng; B. Aditya Prakash; Chao Zhang 014 (NeurIPS, 2022)

CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (WWW, 2022)

A Survey on Programmatic Weak Supervision. - Jieyu Zhang 001; Cheng-Yu Hsieh; Yue Yu 001; Chao Zhang 014; Alexander Ratner (CoRR, 2022)

PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. - Rongzhi Zhang; Yue Yu 001; Pranav Shetty; Le Song; Chao Zhang 014 (CoRR, 2022)

Shift-Robust Node Classification via Graph Adversarial Clustering. - Qi Zhu 008; Chao Zhang 014; Chanyoung Park 001; Carl Yang 001; Jiawei Han 001 (CoRR, 2022)

PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (CoRR, 2022)

SciAnnotate: A Tool for Integrating Weak Labeling Sources for Sequence Labeling. - Mengyang Liu; Haozheng Luo; Leonard Thong; Yinghao Li; Chao Zhang 014; Le Song (CoRR, 2022)

Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach. - Yue Yu 001; Rongzhi Zhang; Ran Xu 002; Jieyu Zhang 001; Jiaming Shen; Chao Zhang 014 (CoRR, 2022)

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. - Yuchen Zhuang; Yinghao Li; Jerry Junyang Cheung; Yue Yu 001; Yingjun Mou; Xiang Chen; Le Song; Chao Zhang 014 (CoRR, 2022)

COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning. - Yue Yu 001; Chenyan Xiong; Si Sun; Chao Zhang 014; Arnold Overwijk (CoRR, 2022)

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (CoRR, 2022)

Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. - Yang Liu 200; Xiang Ao 001; Linfeng Dong; Chao Zhang 014; Jin Wang 007; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2022)

A Linear Time Approach to Computing Time Series Similarity Based on Deep Metric Learning. - Di Yao 001; Gao Cong; Chao Zhang 014; Xuying Meng; Rongchang Duan; Jingping Bi (IEEE Trans. Knowl. Data Eng., 2022)

Neighborhood-Regularized Self-Training for Learning with Few Labels. - Ran Xu 002; Yue Yu 001; Hejie Cui; Xuan Kan; Yanqiao Zhu 001; Joyce C. Ho; Chao Zhang 014; Carl Yang 001 (AAAI, 2023)

Graph Reasoning for Question Answering with Triplet Retrieval. - Shiyang Li; Yifan Gao 001; Haoming Jiang; Qingyu Yin; Zheng Li 018; Xifeng Yan; Chao Zhang 014; Bing Yin (ACL (Findings), 2023)

Extracting Shopping Interest-Related Product Types from the Web. - Yinghao Li; Colin Lockard; Prashant Shiralkar; Chao Zhang 014 (ACL (Findings), 2023)

Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. - Yue Yu 001; Rongzhi Zhang; Ran Xu 002; Jieyu Zhang 001; Jiaming Shen; Chao Zhang 014 (ACL (1), 2023)

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. - Yue Yu 001; Yuchen Zhuang; Rongzhi Zhang; Yu Meng 001; Jiaming Shen; Chao Zhang 014 (ACL (Findings), 2023)

Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. - Simiao Zuo; Qingyu Yin; Haoming Jiang; Shaohui Xi; Bing Yin; Chao Zhang 014; Tuo Zhao (ACL (industry), 2023)

G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. - Yuchen Zhuang; Xin Shen; Yan Zhao; Chaosheng Dong; Ming Wang; Jin Li 003; Chao Zhang 014 (CIKM, 2023)

Improving Consistency for Text Summarization with Energy Functions. - Qi Zeng 001; Qingyu Yin; Zheng Li 018; Yifan Gao 001; Sreyashi Nag; Zhengyang Wang; Bing Yin; Heng Ji 001; Chao Zhang 014 (EMNLP (Findings), 2023)

Knowledge-Selective Pretraining for Attribute Value Extraction. - Hui Liu 033; Qingyu Yin; Zhengyang Wang; Chenwei Zhang; Haoming Jiang; Yifan Gao 001; Zheng Li 018; Xian Li; Chao Zhang 014; Bing Yin; William Wang 001; Xiaodan Zhu 001 (EMNLP (Findings), 2023)

Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract. - Yang Liu 200; Xiang Ao 001; Linfeng Dong; Chao Zhang 014; Jin Wang 007; Qing He 003 (ICDE, 2023)

Autoregressive Diffusion Model for Graph Generation. - Lingkai Kong; Jiaming Cui; Haotian Sun; Yuchen Zhuang; B. Aditya Prakash; Chao Zhang 014 (ICML, 2023)

Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (ISBI, 2023)

When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (KDD, 2023)

Uncertainty Quantification in Deep Learning. - Lingkai Kong; Harshavardhan Kamarthi; Peng Chen 024; B. Aditya Prakash; Chao Zhang 014 (KDD, 2023)

Local Boosting for Weakly-Supervised Learning. - Rongzhi Zhang; Yue Yu 001; Jiaming Shen; Xiquan Cui; Chao Zhang 014 (KDD, 2023)

DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. - Yuchen Zhuang; Yue Yu 001; Lingkai Kong; Xiang Chen; Chao Zhang 014 (KDD, 2023)

TransEHR: Self-Supervised Transformer for Clinical Time Series Data. - Yanbo Xu; Shangqing Xu; Manav Ramprassad; Alexey Tumanov; Chao Zhang 014 (ML4H@NeurIPS, 2023)

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. - Alexander Bukharin; Yan Li; Yue Yu 001; Qingru Zhang; Zhehui Chen; Simiao Zuo; Chao Zhang 014; Songan Zhang; Tuo Zhao (NeurIPS, 2023)

AdaPlanner: Adaptive Planning from Feedback with Language Models. - Haotian Sun; Yuchen Zhuang; Lingkai Kong; Bo Dai 001; Chao Zhang 014 (NeurIPS, 2023)

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. - Yue Yu 001; Yuchen Zhuang; Jieyu Zhang 001; Yu Meng 001; Alexander J. Ratner; Ranjay Krishna; Jiaming Shen; Chao Zhang 014 (NeurIPS, 2023)

ToolQA: A Dataset for LLM Question Answering with External Tools. - Yuchen Zhuang; Yue Yu 001; Kuan Wang; Haotian Sun; Chao Zhang 014 (NeurIPS, 2023)

Implicit Query Parsing at Amazon Product Search. - Chen Luo 003; Rahul Goutam; Haiyang Zhang; Chao Zhang 014; Yangqiu Song; Bing Yin (SIGIR, 2023)

Unsupervised Event Chain Mining from Multiple Documents. - Yizhu Jiao; Ming Zhong 005; Jiaming Shen; Yunyi Zhang 001; Chao Zhang 014; Jiawei Han 001 (WWW, 2023)

Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning. - Ruijie Wang 004; Zheng Li 018; Jingfeng Yang 001; Tianyu Cao 001; Chao Zhang 014; Bing Yin; Tarek F. Abdelzaher (WWW, 2023)

Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation. - Rongzhi Zhang; Jiaming Shen; Tianqi Liu 002; Jialu Liu; Michael Bendersky; Marc Najork; Chao Zhang 014 (CoRR, 2023)

CCGen: Explainable Complementary Concept Generation in E-Commerce. - Jie Huang 009; Yifan Gao 001; Zheng Li 018; Jingfeng Yang 001; Yangqiu Song; Chao Zhang 014; Zining Zhu 001; Haoming Jiang; Kevin Chen-Chuan Chang; Bing Yin (CoRR, 2023)

MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction. - Yinghao Li; Lingkai Kong; Yuanqi Du; Yue Yu 001; Yuchen Zhuang; Wenhao Mu; Chao Zhang 014 (CoRR, 2023)

DF2: Distribution-Free Decision-Focused Learning. - Lingkai Kong; Wenhao Mu; Jiaming Cui; Yuchen Zhuang; B. Aditya Prakash; Bo Dai 001; Chao Zhang 014 (CoRR, 2023)

Situated Natural Language Explanations. - Zining Zhu 001; Haoming Jiang; Jingfeng Yang 001; Sreyashi Nag; Chao Zhang 014; Jie Huang 009; Yifan Gao 001; Frank Rudzicz; Bing Yin (CoRR, 2023)

Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction. - Wei Qian; Chenxu Zhao; Yangyi Li; Fenglong Ma; Chao Zhang 014; Mengdi Huai (AAAI, 2024)

ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models. - Yuzhao Heng; Chunyuan Deng; Yitong Li; Yue Yu 001; Yinghao Li; Rongzhi Zhang; Chao Zhang 014 (ACL (Findings), 2024)

Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. - Yue Yu 001; Jiaming Shen; Tianqi Liu 002; Zhen Qin 001; Jing Nathan Yan; Jialu Liu; Chao Zhang 014; Michael Bendersky (ACL (1), 2024)

PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. - Rongzhi Zhang; Jiaming Shen; Tianqi Liu 002; Haorui Wang; Zhen Qin 001; Feng Han; Jialu Liu; Simon Baumgartner; Michael Bendersky; Chao Zhang 014 (ACL (Findings), 2024)

Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process. - Lingkai Kong; Haotian Sun; Yuchen Zhuang; Haorui Wang; Wenhao Mu; Chao Zhang 014 (AISTATS, 2024)

HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification. - Vidit Jain; Mukund Rungta; Yuchen Zhuang; Yue Yu 001; Zeyu Wang; Mu Gao; Jeffrey Skolnick; Chao Zhang 014 (EACL (1), 2024)

BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. - Ran Xu 002; Wenqi Shi; Yue Yu 001; Yuchen Zhuang; Yanqiao Zhu 001; May Dongmei Wang; Joyce C. Ho; Chao Zhang 014; Carl Yang 001 (EMNLP, 2024)

Data Diversity Matters for Robust Instruction Tuning. - Alexander Bukharin; Shiyang Li; Zhengyang Wang; Jingfeng Yang 001; Bing Yin; Xian Li; Chao Zhang 014; Tuo Zhao; Haoming Jiang (EMNLP (Findings), 2024)

A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction. - Yinghao Li; Rampi Ramprasad; Chao Zhang 014 (EMNLP (Findings), 2024)

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. - Yuchen Zhuang; Xiang Chen; Tong Yu 001; Saayan Mitra; Victor S. Bursztyn; Ryan A. Rossi; Somdeb Sarkhel; Chao Zhang 014 (ICLR, 2024)

Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. - Haoxin Liu 001; Harshavardhan Kamarthi; Lingkai Kong; Zhiyuan Zhao 002; Chao Zhang 014; B. Aditya Prakash (ICML, 2024)

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models. - Haotian Sun; Yuchen Zhuang; Wei Wei 019; Chao Zhang 014; Bo Dai 001 (ICML, 2024)

Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. - Rongzhi Zhang; Jiaming Shen; Tianqi Liu 002; Jialu Liu; Michael Bendersky; Marc Najork; Chao Zhang 014 (KDD, 2024)

POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature. - Jerry Junyang Cheung; Yuchen Zhuang; Yinghao Li; Pranav Shetty; Wantian Zhao; Sanjeev Grampurohit; Rampi Ramprasad; Chao Zhang 014 (NAACL-HLT, 2024)

Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study. - Yinghao Li; Haorui Wang; Chao Zhang 014 (NAACL-HLT, 2024)

Aligning Large Language Models with Representation Editing: A Control Perspective. - Lingkai Kong; Haorui Wang; Wenhao Mu; Yuanqi Du; Yuchen Zhuang; Yifei Zhou; Yue Song; Rongzhi Zhang; Kai Wang; Chao Zhang 014 (NeurIPS, 2024)

Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis. - Haoxin Liu 001; Shangqing Xu; Zhiyuan Zhao 002; Lingkai Kong; Harshavardhan Kamarthi; Aditya B. Sasanur; Megha Sharma; Jiaming Cui; Qingsong Wen; Chao Zhang 014; B. Aditya Prakash (NeurIPS, 2024)

HYDRA: Model Factorization Framework for Black-Box LLM Personalization. - Yuchen Zhuang; Haotian Sun; Yue Yu 001; Rushi Qiang; Qifan Wang 001; Chao Zhang 014; Bo Dai 001 (NeurIPS, 2024)

Demo: On-Device Video Analysis with LLMs. - Vishnu Jaganathan; Deepak Gouda; Kriti Arora; Mohit Aggarwal; Chao Zhang 014 (HotMobile, 2024)

Misconfidence-based Demonstration Selection for LLM In-Context Learning. - Shangqing Xu; Chao Zhang 014 (CoRR, 2024)

TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance. - Haorui Wang; Rongzhi Zhang; Yinghao Li; Lingkai Kong; Yuchen Zhuang; Xiusi Chen; Chao Zhang 014 (CoRR, 2024)

ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling. - Lingxi Zhang; Yue Yu 001; Kuan Wang; Chao Zhang 014 (CoRR, 2024)

Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. - Haoxin Liu 001; Shangqing Xu; Zhiyuan Zhao 002; Lingkai Kong; Harshavardhan Kamarthi; Aditya B. Sasanur; Megha Sharma; Jiaming Cui; Qingsong Wen; Chao Zhang 014; B. Aditya Prakash (CoRR, 2024)

Efficient Evolutionary Search Over Chemical Space with Large Language Models. - Haorui Wang; Marta Skreta; Cher Tian Ser; Wenhao Gao 001; Lingkai Kong; Felix Streith-Kalthoff; Chenru Duan; Yuchen Zhuang; Yue Yu 001; Yanqiao Zhu 001; Yuanqi Du; Alán Aspuru-Guzik; et al. (CoRR, 2024)

Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (CoRR, 2024)

DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving. - Jiahang Tu; Wei Ji 008; Hanbin Zhao; Chao Zhang 014; Roger Zimmermann; Hui Qian 001 (CoRR, 2024)

RNR: Teaching Large Language Models to Follow Roles and Rules. - Kuan Wang; Alexander Bukharin; Haoming Jiang; Qingyu Yin; Zhengyang Wang; Tuo Zhao; Jingbo Shang; Chao Zhang 014; Bing Yin; Xian Li; Jianshu Chen; Shiyang Li (CoRR, 2024)

Matryoshka: Learning to Drive Black-Box LLMs with LLMs. - Changhao Li; Yuchen Zhuang; Rushi Qiang; Haotian Sun; Hanjun Dai; Chao Zhang 014; Bo Dai 001 (CoRR, 2024)

MUBen: Benchmarking the Uncertainty of Molecular Representation Models. - Yinghao Li; Lingkai Kong; Yuanqi Du; Yue Yu 001; Yuchen Zhuang; Wenhao Mu; Chao Zhang 014 (Trans. Mach. Learn. Res., 2024)

Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. - Lingkai Kong; Yuanqi Du; Wenhao Mu; Kirill Neklyudov; Valentin De Bortoli; Dongxia Wu; Haorui Wang; Aaron M. Ferber; Yian Ma; Carla P. Gomes; Chao Zhang 014 (AISTATS, 2025)

Efficient Evolutionary Search Over Chemical Space with Large Language Models. - Haorui Wang; Marta Skreta; Cher Tian Ser; Wenhao Gao 001; Lingkai Kong; Felix Strieth-Kalthoff; Chenru Duan; Yuchen Zhuang; Yue Yu 001; Yanqiao Zhu 001; Yuanqi Du; Alán Aspuru-Guzik; et al. (ICLR, 2025)

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. - Yuchen Zhuang; Jingfeng Yang 001; Haoming Jiang; Xin Liu 039; Kewei Cheng; Sanket Lokegaonkar; Yifan Gao 001; Qing Ping; Tianyi Liu; Binxuan Huang; Zheng Li 018; Zhengyang Wang; et al. (NAACL (Long Papers), 2025)

DF2: Distribution-Free Decision-Focused Learning. - Lingkai Kong; Wenhao Mu; Jiaming Cui; Yuchen Zhuang; B. Aditya Prakash; Bo Dai 001; Chao Zhang 014 (UAI, 2025)

LLM-Augmented Chemical Synthesis and Design Decision Programs. - Haorui Wang; Jeff Guo; Lingkai Kong; Rampi Ramprasad; Philippe Schwaller; Yuanqi Du; Chao Zhang 014 (CoRR, 2025)

MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering. - Rushi Qiang; Yuchen Zhuang; Yinghao Li; Dingu Sagar V. K; Rongzhi Zhang; Changhao Li; Ian Shu-Hei Wong; Sherry Yang 001; Percy Liang; Chao Zhang 014; Bo Dai 001 (CoRR, 2025)

Towards Better Instruction Following Retrieval Models. - Yuchen Zhuang; Aaron Trinh; Rushi Qiang; Haotian Sun; Chao Zhang 014; Hanjun Dai; Bo Dai 001 (CoRR, 2025)

MSQA: Benchmarking LLMs on Graduate-Level Materials Science Reasoning and Knowledge. - Jerry Junyang Cheung; Shiyao Shen; Yuchen Zhuang; Yinghao Li; Rampi Ramprasad; Chao Zhang 014 (CoRR, 2025)