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Jianguo Zhang 0005
Person information
- affiliation: University of Illinois at Chicago, Department of Computer Science, IL, USA
Other persons with the same name
- Jianguo Zhang (aka: Jian-Guo Zhang) — disambiguation page
- Jianguo Zhang 0001
— Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China (and 4 more)
- Jianguo Zhang 0002
- Jianguo Zhang 0003
- Jianguo Zhang 0004
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2020 – today
- 2024
- [j1]Yao Wan
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. ACM Comput. Surv. 56(12): 309:1-309:41 (2024) - [c15]Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong:
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. EACL (Findings) 2024: 2299-2315 - [c14]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh R. N., Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. ICLR 2024 - [i29]Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu:
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. CoRR abs/2401.00288 (2024) - [i28]Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong:
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. CoRR abs/2402.15506 (2024) - [i27]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Liangwei Yang, Zuxin Liu, Juntao Tan, Prafulla Kumar Choubey, Tian Lan, Jason Wu, Huan Wang, Shelby Heinecke, Caiming Xiong, Silvio Savarese:
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. CoRR abs/2402.15538 (2024) - [i26]Rithesh Murthy, Liangwei Yang, Juntao Tan, Tulika Manoj Awalgaonkar, Yilun Zhou, Shelby Heinecke, Sachin Desai, Jason Wu, Ran Xu, Sarah Tan, Jianguo Zhang, Zhiwei Liu, Shirley Kokane, Zuxin Liu, Ming Zhu, Huan Wang, Caiming Xiong, Silvio Savarese:
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. CoRR abs/2406.10290 (2024) - [i25]Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong:
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. CoRR abs/2406.18518 (2024) - [i24]Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad A. Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester James V. Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland:
Consent in Crisis: The Rapid Decline of the AI Data Commons. CoRR abs/2407.14933 (2024) - [i23]Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu:
Personalized Multi-task Training for Recommender System. CoRR abs/2407.21364 (2024) - [i22]Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, Zhiwei Liu, Yihao Feng, Tulika Manoj Awalgaonkar, Rithesh Murthy, Eric Hu, Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
xLAM: A Family of Large Action Models to Empower AI Agent Systems. CoRR abs/2409.03215 (2024) - [i21]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Rithesh Murthy, Liangwei Yang, Zuxin Liu, Tian Lan, Ming Zhu, Juntao Tan, Shirley Kokane, Thai Hoang, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent. CoRR abs/2410.18528 (2024) - 2023
- [c13]Ziwei Fan
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CIKM 2023: 483-493 - [c12]Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. ICLR 2023 - [c11]Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. SIGDIAL 2023: 509-518 - [i20]Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang:
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. CoRR abs/2302.10342 (2023) - [i19]Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu:
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CoRR abs/2305.07633 (2023) - [i18]Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong:
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. CoRR abs/2307.10172 (2023) - [i17]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. CoRR abs/2308.02151 (2023) - [i16]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. CoRR abs/2308.05960 (2023) - [i15]Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. CoRR abs/2308.08169 (2023) - [i14]Yu Wang, Zhiwei Liu, Jianguo Zhang, Weiran Yao, Shelby Heinecke, Philip S. Yu:
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation. CoRR abs/2312.11336 (2023) - 2022
- [c10]Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu, Caiming Xiong, Philip S. Yu:
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. ConvAI@ACL 2022: 12-20 - [c9]Yao Wan, Yang He
NaturalCC: An Open-Source Toolkit for Code Intelligence. ICSE-Companion 2022: 149-153 - [i13]Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou:
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation. CoRR abs/2212.08841 (2022) - 2021
- [c8]Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu:
Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation. EACL 2021: 1235-1244 - [c7]Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu:
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. EMNLP (1) 2021: 146-154 - [c6]Jian-Guo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu:
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. EMNLP (1) 2021: 1906-1912 - [i12]Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu:
Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation. CoRR abs/2101.08942 (2021) - [i11]Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Ye Liu, Caiming Xiong, Philip S. Yu:
Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. CoRR abs/2106.04564 (2021) - [i10]Jian-Guo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu:
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. CoRR abs/2109.06349 (2021) - [i9]Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu:
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. CoRR abs/2110.06388 (2021) - 2020
- [c5]Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong:
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. EMNLP (1) 2020: 5064-5082 - [c4]Jian-Guo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong:
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. *SEM@COLING 2020: 154-167 - [i8]Xiaoxue Zang, Abhinav Rastogi, Srinivas Sunkara, Raghav Gupta, Jianguo Zhang, Jindong Chen:
MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines. CoRR abs/2007.12720 (2020) - [i7]Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong:
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. CoRR abs/2010.13009 (2020) - [i6]Yao Wan, Yang He, Jianguo Zhang, Yulei Sui, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu:
NaturalCC: A Toolkit to Naturalize the Source Code Corpus. CoRR abs/2012.03225 (2020)
2010 – 2019
- 2019
- [c3]Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu:
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. NAACL-HLT (2) 2019: 64-72 - [i5]Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu:
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. CoRR abs/1904.01735 (2019) - [i4]Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong:
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. CoRR abs/1910.03544 (2019) - 2018
- [c2]Jianguo Zhang, Ji Wang, Lifang He, Zhao Li
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. ICDM 2018: 1428-1433 - [c1]Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu:
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. KDD 2018: 2407-2416 - [i3]Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu:
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. CoRR abs/1809.03428 (2018) - [i2]Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu:
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. CoRR abs/1809.04188 (2018) - [i1]Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu:
Product Title Refinement via Multi-Modal Generative Adversarial Learning. CoRR abs/1811.04498 (2018)
Coauthor Index
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