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ORCIDChao Zhang 0014
Person information
- affiliation: Georgia Institute of Technology, College of Computing, Atlanta, GA, USA
- affiliation (PhD 2016): University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
Other persons with the same name
- Chao Zhang — disambiguation page
- Chao Zhang 0001
![[0000-0002-1018-4144]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1018-4144")
— Peking University, Key Laboratory of Machine Perception, Beijing, China - Chao Zhang 0002 — University of Wollongong, School of Engineering Physics, NSW, Australia
- Chao Zhang 0003 — Xi'an Jiaotong University, School of Electronics and Information Engineering, China (and 1 more)
- Chao Zhang 0004 — Tsinghua University, Labs of Avionics, School of Aerospace Engineering, Beijing, China (and 1 more)
- Chao Zhang 0005 — University of Paris-Sud, Gif sur Yvette, France
- Chao Zhang 0006 — Center for Ecological Research and Forestry Applications, Cerdanyola del Vallés, Spain
- Chao Zhang 0007 — Peking University, Center for Energy-Efficient Computing and Applications (CECA), Beijing, China
- Chao Zhang 0008 — Tsinghua University, Institute for Network Science and Cyberspace, Beijing, China (and 2 more)
- Chao Zhang 0009 — Tsinghua University, Department of Electronic Engineering, TNList, Beijing, China (and 1 more)
- Chao Zhang 0010 — Beijing Normal University, College of Information Science and Technology, China (and 1 more)
- Chao Zhang 0011 — University of New South Wales, Canberra, Australia
- Chao Zhang 0012 — Guangzhou University, China (and 1 more)
- Chao Zhang 0013 — Nankai University, Tianjin, China
- Chao Zhang 0015 — Shandong Agricultural University, Agricultural Big-Data Research Center, Tai'an, China
- Chao Zhang 0016 — Jiangsu University, School of Electrical and Information Engineering, Zhenjiang, China (and 1 more)
- Chao Zhang 0017 — Dalian University of Technology, School of Mathematical Sciences, China (and 2 more)
- Chao Zhang 0018 — Northwest Agriculture and Forestry University, MOE Key Laboratory of Agricultural Soil and Water Engineering in Arid Area, Yangling, China
- Chao Zhang 0019 — Delft University of Technology, Quantum and Computer Engineering, The Netherlands
- Chao Zhang 0020 — University of Nottingham, Nottingham Geospatial Engineering / Department of Civil Engineering, UK
- Chao Zhang 0021 — Beihang University, School of Astronautics, Beijing, China
- Chao Zhang 0022 — Chongqing University, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, China
- Chao Zhang 0023 — University of York, UK
- Chao Zhang 0024 — Beijing Institute of Technology, China
- Chao Zhang 0025 — Hefei University of Technology, School of Management, China
- Chao Zhang 0026 — Hefei University of Technology, Anhui Engineering Laboratory of Renewable Energy and Industrial Energy Conservation, China
- Chao Zhang 0027 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Chao Zhang 0028 — University of Western Australia, Perth, Australia
- Chao Zhang 0029 — Zhejiang University, Hangzhou, Zhejiang, China
- Chao Zhang 0030 — University of Fukui, Department of Engineering, Japan (and 1 more)
- Chao Zhang 0031 — Tsinghua University, Department of Electronic Engineering, Beijing, China (and 1 more)
- Chao Zhang 0032 — University of Missouri, Department of Computer Science, Columbia, MO, USA
- Chao Zhang 0033 — Northwestern Polytechnical University, School of Aeronautics, Department of Aeronautical Structure Engineering, Xi'an, China (and 3 more)
- Chao Zhang 0034 — Tsinghua University, Beijing, China (and 1 more)
- Chao Zhang 0035 — Zhengzhou University, School of Water Conservancy and Environment, China (and 1 more)
- Chao Zhang 0036 — Lomonosov Moscow State University, Department of Computational Mechanics, Russia
- Chao Zhang 0037 — Xi'an Jiaotong University, School of Mechanical Engineering, China
- Chao Zhang 0038 — Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, China
- Chao Zhang 0039 — Lehigh University, Department of Electrical and Computer Engineering, Bethlehem, PA, USA
- Chao Zhang 0040 — Yangzhou University, College of Mechanical Engineering, China (and 2 more)
- Chao Zhang 0041 — Northwestern Polytechnical University, School of Aeronautics, Xi'an, China
- Chao Zhang 0042 — Henan Institute of Technology, School of Electrical Engineering and Automation, Xinxiang, China (and 1 more)
- Chao Zhang 0043 — Changchun University, School of Electronic Information Engineering, China
- Chao Zhang 0044 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Chao Zhang 0045 — University of Waterloo, Canada (and 2 more)
- Chao Zhang 0046 — Shanxi University, School of Computer and Information Technology, Taiyuan, China
- Chao Zhang 0047 — Anhui University, School of Computer Science and Technology, Hefei, China
- Chao Zhang 0048 — Queen Mary University of London, School of Electronic Engineering and Computer Science, UK
- Chao Zhang 0049 — University of Southern California, Department of Computer Science, Los Angeles, CA, USA
- Chao Zhang 0050 — Meta, CA, USA (and 2 more)
- Chao Zhang 0051 — University of Jinan, School of Mathematical Sciences, China (and 1 more)
- Chao Zhang 0052 — Nanjing Tech University, Pujiang Institute, Department of Basic Courses, China
- Chao Zhang 0053 — Peking University, School of Life Sciences, China
- Chao Zhang 0054 — Sun Yat-Sen University, School of Geography and Planning, Guangzhou, China
- Chao Zhang 0055 — University of California at San Diego, Department of Electrical and Computer Engineering, CA, USA
- Chao Zhang 0056 — Beijing Jiaotong University, China
- Chao Zhang 0057 — Hefei University of of Technology, Department of Biomedical Engineering, China
- Chao Zhang 0058 — Shenyang University of Technology, National Engineering Research Center for Rare-earth Permanent Magnet Machines, China
- Chao Zhang 0059 — Beijing Jiaotong University, School of Electrical Engineering, China
- Chao Zhang 0060 — Shandong University of Science and Technology, College of Electrical Engineering and Automation, Qingdao, China (and 1 more)
- Chao Zhang 0061 — Civil Aviation University of China, Basic Experiment Center, Tianjin, China
- Chao Zhang 0062 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- Chao Zhang 0063 — Brookhaven National Laboratory, Department of Physics, Upton, NY, USA
- Chao Zhang 0064 — Shimane University, Department of Mechanical Electrical and Electronic Engineering, Matsue, Japan (and 1 more)
- Chao Zhang 0065 — Fuzhou University, College of Civil Engineering, China
- Chao Zhang 0066 — China University of Petroleum (East China), School of Petroleum Engineering, Qingdao, China
- Chao Zhang 0067 — Uppsala University, Department of Chemistry, Sweden
- Chao Zhang 0068 — Qufu Normal University, College of Chinese Language and Literature, China
- Chao Zhang 0069 — Northeastern University, School of Computer Science and Engineering, Shenyang, China
- Chao Zhang 0070 — Lund University, Department of Electrical and Information Technology, Sweden
- Chao Zhang 0071 — Eindhoven University of Technology, Department of Industrial Engineering and Innovation Sciences, The Netherlands
- Chao Zhang 0072 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China (and 1 more)
- Chao Zhang 0073 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Chao Zhang 0074 — Harbin Engineering University, Faculty of Computer Science and Technology, China
- Chao Zhang 0075 — Tsinghua University, Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, China
- Chao Zhang 0076 — Harbin Institute of Technology, School of Mechanical Engineering and Automation, Shenzhen, China
- Chao Zhang 0077 — University of Alberta, Department of Physics, Edmonton, AB, Canada (and 1 more)
- Chao Zhang 0078 — Nanjing University, Department of Control and Systems Engineering, China
- Chao Zhang 0079 — Yunnan Normal University, School of Physics and Electronic Information, Kunming, China
- Chao Zhang 0080 — Guizhou University, School of Mathematics and Statistics, Guiyang, China
- Chao Zhang 0081 — China Agricultural University, College of Land Science and Technology, Key Laboratory of Remote Sensing for Agri-Hazards, Beijing, China
- Chao Zhang 0082 — Cornell University, Ithaca, NY, USA
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2020 – today
- 2024
[j23]Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang:
MUBen: Benchmarking the Uncertainty of Molecular Representation Models. Trans. Mach. Learn. Res. 2024 (2024)- [c110]Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai:
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction. AAAI 2024: 14651-14659 - [c109]Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky:
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. ACL (1) 2024: 14002-14024 - [c108]Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang:
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. ACL (Findings) 2024: 15623-15636 - [c107]Yuzhao Heng, Chunyuan Deng, Yitong Li, Yue Yu, Yinghao Li, Rongzhi Zhang, Chao Zhang:
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models. ACL (Findings) 2024: 15992-16030 - [c106]Lingkai Kong, Haotian Sun, Yuchen Zhuang, Haorui Wang, Wenhao Mu, Chao Zhang:
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process. AISTATS 2024: 4582-4590 - [c105]Vidit Jain, Mukund Rungta, Yuchen Zhuang, Yue Yu, Zeyu Wang, Mu Gao, Jeffrey Skolnick, Chao Zhang:
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification. EACL (1) 2024: 1354-1368 - [c104]Alexander Bukharin, Shiyang Li, Zhengyang Wang, Jingfeng Yang, Bing Yin, Xian Li, Chao Zhang, Tuo Zhao, Haoming Jiang:
Data Diversity Matters for Robust Instruction Tuning. EMNLP (Findings) 2024: 3411-3425 - [c103]Yinghao Li, Rampi Ramprasad, Chao Zhang:
A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction. EMNLP (Findings) 2024: 5133-5148 - [c102]Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang:
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. EMNLP 2024: 22234-22254 - [c101]Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang:
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. ICLR 2024 - [c100]Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash:
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. ICML 2024 - [c99]Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai:
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models. ICML 2024 - [c98]Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang:
Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. KDD 2024: 4278-4289 - [c97]Yinghao Li, Haorui Wang, Chao Zhang:
Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study. NAACL-HLT 2024: 59-81 - [c96]Jerry Junyang Cheung, Yuchen Zhuang, Yinghao Li, Pranav Shetty, Wantian Zhao, Sanjeev Grampurohit, Rampi Ramprasad, Chao Zhang:
POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature. NAACL-HLT 2024: 2370-2385 - [c95]Vishnu Jaganathan, Deepak Gouda, Kriti Arora, Mohit Aggarwal, Chao Zhang:
Demo: On-Device Video Analysis with LLMs. HotMobile 2024: 153 - [i90]Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai:
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction. CoRR abs/2401.01549 (2024) - [i89]Haorui Wang, Rongzhi Zhang, Yinghao Li, Lingkai Kong, Yuchen Zhuang, Xiusi Chen, Chao Zhang:
TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance. CoRR abs/2401.13849 (2024) - [i88]Vidit Jain, Mukund Rungta, Yuchen Zhuang, Yue Yu, Zeyu Wang, Mu Gao, Jeffrey Skolnick, Chao Zhang:
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification. CoRR abs/2402.01696 (2024) - [i87]Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai:
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models. CoRR abs/2402.08219 (2024) - [i86]Yinghao Li, Rampi Ramprasad, Chao Zhang:
A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction. CoRR abs/2402.13364 (2024) - [i85]Lingxi Zhang, Yue Yu, Kuan Wang, Chao Zhang:
ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling. CoRR abs/2402.13542 (2024) - [i84]Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortol, Haorui Wang, Dongxia Wu, Aaron Ferber, Yi-An Ma, Carla P. Gomes, Chao Zhang:
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. CoRR abs/2402.18012 (2024) - [i83]Yuzhao Heng, Chunyuan Deng, Yitong Li, Yue Yu, Yinghao Li, Rongzhi Zhang, Chao Zhang:
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models. CoRR abs/2403.11103 (2024) - [i82]Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D. Wang, Joyce C. Ho, Chao Zhang, Carl Yang:
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. CoRR abs/2404.18443 (2024) - [i81]Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang:
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. CoRR abs/2406.02886 (2024) - [i80]Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai:
HYDRA: Model Factorization Framework for Black-Box LLM Personalization. CoRR abs/2406.02888 (2024) - [i79]Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang:
Aligning Large Language Models with Representation Editing: A Control Perspective. CoRR abs/2406.05954 (2024) - [i78]Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash:
Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. CoRR abs/2406.08627 (2024) - [i77]Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash:
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. CoRR abs/2406.09130 (2024) - [i76]Haorui Wang, Marta Skreta, Cher-Tian Ser, Wenhao Gao, Lingkai Kong, Felix Streith-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alán Aspuru-Guzik, Kirill Neklyudov, Chao Zhang:
Efficient Evolutionary Search Over Chemical Space with Large Language Models. CoRR abs/2406.16976 (2024) - [i75]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting. CoRR abs/2407.02641 (2024) - [i74]Jiahang Tu, Wei Ji, Hanbin Zhao, Chao Zhang, Roger Zimmermann, Hui Qian:
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving. CoRR abs/2407.15661 (2024) - [i73]Kuan Wang, Alexander Bukharin, Haoming Jiang, Qingyu Yin, Zhengyang Wang, Tuo Zhao, Jingbo Shang, Chao Zhang, Bing Yin, Xian Li, Jianshu Chen, Shiyang Li:
RNR: Teaching Large Language Models to Follow Roles and Rules. CoRR abs/2409.13733 (2024) - [i72]Changhao Li, Yuchen Zhuang, Rushi Qiang, Haotian Sun, Hanjun Dai, Chao Zhang, Bo Dai:
Matryoshka: Learning to Drive Black-Box LLMs with LLMs. CoRR abs/2410.20749 (2024) - 2023
- [c94]Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang:
Neighborhood-Regularized Self-Training for Learning with Few Labels. AAAI 2023: 10611-10619 - [c93]Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao:
Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. ACL (industry) 2023: 616-628 - [c92]Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang:
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. ACL (1) 2023: 2499-2521 - [c91]Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin:
Graph Reasoning for Question Answering with Triplet Retrieval. ACL (Findings) 2023: 3366-3375 - [c90]Yinghao Li, Colin Lockard, Prashant Shiralkar, Chao Zhang:
Extracting Shopping Interest-Related Product Types from the Web. ACL (Findings) 2023: 7509-7525 - [c89]Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang:
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. ACL (Findings) 2023: 11782-11805 - [c88]Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang:
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. CIKM 2023: 3677-3687 - [c87]Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He:
Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract. ICDE 2023: 3815-3816 - [c86]Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang:
Autoregressive Diffusion Model for Graph Generation. ICML 2023: 17391-17408 - [c85]Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang:
Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. ISBI 2023: 1-5 - [c84]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting. KDD 2023: 1057-1072 - [c83]Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang:
Local Boosting for Weakly-Supervised Learning. KDD 2023: 3364-3375 - [c82]Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang:
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. KDD 2023: 3674-3686 - [c81]Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, B. Aditya Prakash, Chao Zhang:
Uncertainty Quantification in Deep Learning. KDD 2023: 5809-5810 - [c80]Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao:
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. NeurIPS 2023 - [c79]Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang:
AdaPlanner: Adaptive Planning from Feedback with Language Models. NeurIPS 2023 - [c78]Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang:
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. NeurIPS 2023 - [c77]Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang:
ToolQA: A Dataset for LLM Question Answering with External Tools. NeurIPS 2023 - [c76]Chen Luo, Rahul Goutam, Haiyang Zhang, Chao Zhang, Yangqiu Song, Bing Yin:
Implicit Query Parsing at Amazon Product Search. SIGIR 2023: 3380-3384 - [c75]Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han:
Unsupervised Event Chain Mining from Multiple Documents. WWW 2023: 1948-1959 - [c74]Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek F. Abdelzaher:
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning. WWW 2023: 2621-2632 - [i71]Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang:
Neighborhood-Regularized Self-Training for Learning with Few Labels. CoRR abs/2301.03726 (2023) - [i70]Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek F. Abdelzaher:
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning. CoRR abs/2303.14898 (2023) - [i69]Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang:
Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation. CoRR abs/2305.05010 (2023) - [i68]Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang:
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. CoRR abs/2305.10703 (2023) - [i67]Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin:
CCGen: Explainable Complementary Concept Generation in E-Commerce. CoRR abs/2305.11480 (2023) - [i66]Yinghao Li, Colin Lockard, Prashant Shiralkar, Chao Zhang:
Extracting Shopping Interest-Related Product Types from the Web. CoRR abs/2305.14549 (2023) - [i65]Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang:
AdaPlanner: Adaptive Planning from Feedback with Language Models. CoRR abs/2305.16653 (2023) - [i64]Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin:
Graph Reasoning for Question Answering with Triplet Retrieval. CoRR abs/2305.18742 (2023) - [i63]Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang:
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. CoRR abs/2305.19395 (2023) - [i62]Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang:
Local Boosting for Weakly-Supervised Learning. CoRR abs/2306.02859 (2023) - [i61]Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang:
MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction. CoRR abs/2306.10060 (2023) - [i60]Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang:
ToolQA: A Dataset for LLM Question Answering with External Tools. CoRR abs/2306.13304 (2023) - [i59]Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang:
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. CoRR abs/2306.14314 (2023) - [i58]Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang:
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. CoRR abs/2306.15895 (2023) - [i57]Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang:
Autoregressive Diffusion Model for Graph Generation. CoRR abs/2307.08849 (2023) - [i56]Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang:
DF2: Distribution-Free Decision-Focused Learning. CoRR abs/2308.05889 (2023) - [i55]Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin:
Situated Natural Language Explanations. CoRR abs/2308.14115 (2023) - [i54]Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao:
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. CoRR abs/2310.10810 (2023) - [i53]Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang:
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. CoRR abs/2310.13227 (2023) - [i52]Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky:
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. CoRR abs/2311.07099 (2023) - [i51]Yinghao Li, Haorui Wang, Chao Zhang:
Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study. CoRR abs/2311.07387 (2023) - [i50]Jerry Junyang Cheung, Yuchen Zhuang, Yinghao Li, Pranav Shetty, Wantian Zhao, Sanjeev Grampurohit, Rampi Ramprasad, Chao Zhang:
PolyIE: A Dataset of Information Extraction from Polymer Material Scientific Literature. CoRR abs/2311.07715 (2023) - 2022
- [j22]Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He:
Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. IEEE Trans. Knowl. Data Eng. 34(1): 462-474 (2022) - [j21]Di Yao, Gao Cong, Chao Zhang, Xuying Meng, Rongchang Duan, Jingping Bi:
A Linear Time Approach to Computing Time Series Similarity Based on Deep Metric Learning. IEEE Trans. Knowl. Data Eng. 34(10): 4554-4571 (2022) - [c73]Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang:
Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. ACL (1) 2022: 745-758 - [c72]Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang:
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). IEEE Big Data 2022: 4995-4996 - [c71]Yuchen Zhuang, Yinghao Li, Junyang Zhang, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang:
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. EMNLP 2022: 730-744 - [c70]Yue Yu, Chenyan Xiong, Si Sun, Chao Zhang, Arnold Overwijk:
COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning. EMNLP 2022: 1462-1479 - [c69]Yinghao Li, Le Song, Chao Zhang:
Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition. KDD 2022: 978-988 - [c68]Rongzhi Zhang, Rebecca West, Xiquan Cui, Chao Zhang:
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction. KDD 2022: 4521-4529 - [c67]Ran Xu, Yue Yu, Chao Zhang, Mohammed K. Ali, Joyce C. Ho, Carl Yang:
Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR. ML4H@NeurIPS 2022: 259-278 - [c66]Rui Feng, Chen Luo, Qingyu Yin, Bing Yin, Tuo Zhao, Chao Zhang:
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data. NAACL-HLT 2022: 219-230 - [c65]Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha:
Self-Training with Differentiable Teacher. NAACL-HLT (Findings) 2022: 933-949 - [c64]Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang:
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. NAACL-HLT 2022: 1422-1436 - [c63]Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang:
End-to-end Stochastic Optimization with Energy-based Model. NeurIPS 2022 - [c62]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. WWW 2022: 3174-3185 - [i49]Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu, Chao Zhang, Alexander Ratner:
A Survey on Programmatic Weak Supervision. CoRR abs/2202.05433 (2022) - [i48]Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang:
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. CoRR abs/2203.09735 (2022) - [i47]Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han:
Shift-Robust Node Classification via Graph Adversarial Clustering. CoRR abs/2203.15802 (2022) - [i46]Rui Feng, Chen Luo, Qingyu Yin, Bing Yin, Tuo Zhao, Chao Zhang:
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data. CoRR abs/2204.04303 (2022) - [i45]Yinghao Li, Le Song, Chao Zhang:
Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition. CoRR abs/2205.14228 (2022) - [i44]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series. CoRR abs/2206.07940 (2022) - [i43]Rongzhi Zhang, Rebecca West, Xiquan Cui, Chao Zhang:
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction. CoRR abs/2206.13749 (2022) - [i42]Mengyang Liu, Haozheng Luo, Leonard Thong, Yinghao Li, Chao Zhang, Le Song:
SciAnnotate: A Tool for Integrating Weak Labeling Sources for Sequence Labeling. CoRR abs/2208.10241 (2022) - [i41]Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang:
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach. CoRR abs/2209.06995 (2022) - [i40]Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao:
Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. CoRR abs/2209.07584 (2022) - [i39]Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang:
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. CoRR abs/2210.14427 (2022) - [i38]Yue Yu, Chenyan Xiong, Si Sun, Chao Zhang, Arnold Overwijk:
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning. CoRR abs/2210.15212 (2022) - [i37]Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang:
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. CoRR abs/2211.00261 (2022) - [i36]Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang:
End-to-End Stochastic Optimization with Energy-Based Model. CoRR abs/2211.13837 (2022) - 2021
- [j20]Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao:
SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization. Bioinform. 37(18): 2988-2995 (2021) - [j19]Hongzhi Shi, Yong Li, Hancheng Cao, Xiangxin Zhou, Chao Zhang, Vassilis Kostakos:
Semantics-Aware Hidden Markov Model for Human Mobility. IEEE Trans. Knowl. Data Eng. 33(3): 1183-1194 (2021) - [c61]