Chenguang Zhu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
102
Venues
26
Active years
2009–2025
Best venue rank
A*
Where they publish
- A*EMNLP31 papers
- A*ACL18 papers
- A*ICSE7 papers
- A*CVPR6 papers
- ANAACL6 papers
- A*ICLR4 papers
- A*AAAI3 papers
- AEACL2 papers
- A*IJCAI2 papers
- CCSCWD2 papers
- AWSDM2 papers
- CISPA2 papers
- BSIGdial2 papers
- ACIKM2 papers
- A*ICDM2 papers
- MulticonferenceICASSP1 paper
- BVTC1 paper
- A*ICML1 paper
- BICONIP1 paper
- AInterspeech1 paper
- A*SIGIR1 paper
- BIJCNLP1 paper
- AMSR1 paper
- BSPLC1 paper
- A*KDD1 paper
- A*WWW1 paper
Papers
102 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation. | Bolin Lai, Felix Juefei-Xu, Miao Liu, Xiaoliang Dai, Nikhil Mehta, Chenguang Zhu, Zeyi Huang, James M. Rehg, Sangmin Lee, Ning Zhang, Tong Xiao |
| 2025 | ICLR | Law of the Weakest Link: Cross Capabilities of Large Language Models. | Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten |
| 2025 | NAACL | Self-Generated Critiques Boost Reward Modeling for Language Models. | Yue Yu, Zhengxing Chen, Aston Zhang, Liang Tan, Chenguang Zhu, Richard Yuanzhe Pang, Yundi Qian, Xuewei Wang, Suchin Gururangan, Chao Zhang, Melanie Kambadur, Dhruv Mahajan, Rui Hou |
| 2024 | ACL | Small Models are Valuable Plug-ins for Large Language Models. | Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley |
| 2024 | CVPR | CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation. | Zineng Tang, Ziyi Yang, Mahmoud Khademi, Yang Liu, Chenguang Zhu, Mohit Bansal |
| 2024 | EACL | How Does In-Context Learning Help Prompt Tuning? | Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer |
| 2024 | EACL | PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. | Simeng Sun, Yang Liu, Shuohang Wang, Dan Iter, Chenguang Zhu, Mohit Iyyer |
| 2024 | EMNLP | i-Code Studio: A Configurable and Composable Framework for Integrative AI. | Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang |
| 2024 | EMNLP | Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets. | Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu |
| 2024 | EMNLP | WPO: Enhancing RLHF with Weighted Preference Optimization. | Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu |
| 2024 | ICASSP | CPMSVD: Cross-Project Multiclass Software Vulnerability Detection Via Fused Deep Feature and Domain Adaptation. | Gewangzi Du, Liwei Chen, Tongshuai Wu, Chenguang Zhu, Gang Shi |
| 2024 | IJCAI | P2P: Transforming from Point Supervision to Explicit Visual Prompt for Object Detection and Segmentation. | Guangqian Guo, Dian Shao, Chenguang Zhu, Sha Meng, Xuan Wang, Shan Gao |
| 2024 | NAACL | i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. | Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Xuemei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang |
| 2024 | VTC | Access Mechanisms in Air-to-Ground Wireless Networks with Phased Array Antennas. | Chenguang Zhu, Huan Lin, Lianghui Ding, Feng Yang, Liang Qian |
| 2023 | AAAI | i-Code: An Integrative and Composable Multimodal Learning Framework. | Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-Ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang |
| 2023 | ACL | UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization. | Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang |
| 2023 | ACL | APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. | Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren |
| 2023 | ACL | Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. | Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang |
| 2023 | CSCWD | Code Property Graph based Vulnerability Type Identification with Fusion Representation. | Chenguang Zhu, Tongshuai Wu, Ningning Cui, Xiong Zheng, Liwei Chen, Gang Shi |
| 2023 | CVPR | Unifying Vision, Text, and Layout for Universal Document Processing. | Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal |
| 2023 | CVPR | Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles. | Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao |
| 2023 | EMNLP | In-Context Demonstration Selection with Cross Entropy Difference. | Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu |
| 2023 | EMNLP | MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering. | Mahmoud Khademi, Ziyi Yang, Felipe Frujeri, Chenguang Zhu |
| 2023 | EMNLP | G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment. | Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu |
| 2023 | EMNLP | The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. | Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han |
| 2023 | EMNLP | Automatic Prompt Optimization with "Gradient Descent" and Beam Search. | Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng |
| 2023 | EMNLP | LMGQS: A Large-scale Dataset for Query-focused Summarization. | Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng |
| 2023 | EMNLP | InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. | Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng |
| 2023 | EMNLP | Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. | Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang |
| 2023 | ICLR | Generate rather than Retrieve: Large Language Models are Strong Context Generators. | Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang |
| 2023 | ICML | Global Selection of Contrastive Batches via Optimization on Sample Permutations. | Vin Sachidananda, Ziyi Yang, Chenguang Zhu |
| 2023 | ICONIP | Identify Vulnerability Types: A Cross-Project Multiclass Vulnerability Classification System Based on Deep Domain Adaptation. | Gewangzi Du, Liwei Chen, Tongshuai Wu, Chenguang Zhu, Gang Shi |
| 2023 | WSDM | Knowledge-Augmented Methods for Natural Language Processing. | Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu |
| 2022 | AAAI | JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. | Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng |
| 2022 | AAAI | DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. | Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng |
| 2022 | ACL | Summ | Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang |
| 2022 | ACL | Dict-BERT: Enhancing Language Model Pre-training with Dictionary. | Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang |
| 2022 | ACL | Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. | Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang |
| 2022 | ACL | Leveraging Knowledge in Multilingual Commonsense Reasoning. | Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng |
| 2022 | ACL | Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer. | Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren |
| 2022 | ACL | End-to-End Segmentation-based News Summarization. | Yang Liu, Chenguang Zhu, Michael Zeng |
| 2022 | ACL | DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. | Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev |
| 2022 | ACL | Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. | Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng |
| 2022 | ACL | KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. | Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng |
| 2022 | ACL | Knowledge-Augmented Methods for Natural Language Processing. | Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu |
| 2022 | CSCWD | Inductive Vulnerability Detection via Gated Graph Neural Network. | Tongshuai Wu, Liwei Chen, Gewangzi Du, Chenguang Zhu, Ningning Cui, Gang Shi |
| 2022 | CVPR | An Empirical Study of Training End-to-End Vision-and-Language Transformers. | Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng |
| 2022 | CVPR | CLIP-Event: Connecting Text and Images with Event Structures. | Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang |
| 2022 | EMNLP | AdaPrompt: Adaptive Model Training for Prompt-based NLP. | Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang |
| 2022 | EMNLP | Task Compass: Scaling Multi-task Pre-training with Task Prefix. | Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng |
| 2022 | EMNLP | Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. | Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang |
| 2022 | EMNLP | Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. | Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun |
| 2022 | EMNLP | Leveraging Locality in Abstractive Text Summarization. | Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir Radev |
| 2022 | EMNLP | Automatic Rule Induction for Efficient Semi-Supervised Learning. | Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng |
| 2022 | EMNLP | ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation. | Shuohang Wang, Ruochen Xu, Yang Liu, Chenguang Zhu, Michael Zeng |
| 2022 | EMNLP | Narrate Dialogues for Better Summarization. | Ruochen Xu, Chenguang Zhu, Michael Zeng |
| 2022 | EMNLP | A Unified Encoder-Decoder Framework with Entity Memory. | Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang |
| 2022 | EMNLP | Towards a Unified Multi-Dimensional Evaluator for Text Generation. | Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han |
| 2022 | EMNLP | Unsupervised Multi-Granularity Summarization. | Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han |
| 2022 | IJCAI | Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. | Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang |
| 2022 | ICSE | Repairing Order-Dependent Flaky Tests via Test Generation. | Chengpeng Li, Chenguang Zhu, Wenxi Wang, August Shi |
| 2022 | ICSE | SAPIENTML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions. | Ripon K. Saha, Akira Ura, Sonal Mahajan, Chenguang Zhu, Linyi Li, Yang Hu, Hiroaki Yoshida, Sarfraz Khurshid, Mukul R. Prasad |
| 2022 | ISPA | BHMVD: Binary Code-based Hybrid Neural Network for Multiclass Vulnerability Detection. | Ningning Cui, Liwei Chen, Gewangzi Du, Tongshuai Wu, Chenguang Zhu, Gang Shi |
| 2021 | ACL | RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. | Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao |
| 2021 | ACL | Retrieval Enhanced Model for Commonsense Generation. | Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng |
| 2021 | ACL | Fusing Context Into Knowledge Graph for Commonsense Question Answering. | Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang |
| 2021 | EMNLP | An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. | Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev |
| 2021 | EMNLP | Injecting Entity Types into Entity-Guided Text Generation. | Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang |
| 2021 | EMNLP | Want To Reduce Labeling Cost? GPT-3 Can Help. | Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng |
| 2021 | EMNLP | Sentence-Permuted Paragraph Generation. | Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang |
| 2021 | ICLR | Filtered Inner Product Projection for Crosslingual Embedding Alignment. | Vin Sachidananda, Ziyi Yang, Chenguang Zhu |
| 2021 | Interspeech | Data Augmentation for Spoken Language Understanding via Pretrained Language Models. | Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao |
| 2021 | ISPA | Self-Attention based Automated Vulnerability Detection with Effective Data Representation. | Tongshuai Wu, Liwei Chen, Gewangzi Du, Chenguang Zhu, Gang Shi |
| 2021 | NAACL | SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding. | Yu-An Chung, Chenguang Zhu, Michael Zeng |
| 2021 | NAACL | Enhancing Factual Consistency of Abstractive Summarization. | Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang |
| 2021 | NAACL | MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization. | Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng |
| 2021 | SIGIR | Leveraging Lead Bias for Zero-shot Abstractive News Summarization. | Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang |
| 2020 | EMNLP | Few-shot Natural Language Generation for Task-Oriented Dialog. | Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao |
| 2020 | EMNLP | TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. | Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve |
| 2020 | EMNLP | A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining. | Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang |
| 2020 | IJCNLP | Mixed-Lingual Pre-training for Cross-lingual Summarization. | Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang |
| 2020 | ICSE | Precfix: large-scale patch recommendation by mining defect-patch pairs. | Xindong Zhang, Chenguang Zhu, Yi Li, Jianmei Guo, Lihua Liu, Haobo Gu |
| 2020 | ICSE | Large-scale patch recommendation at Alibaba. | Xindong Zhang, Chenguang Zhu, Yi Li, Jianmei Guo, Lihua Liu, Haobo Gu |
| 2020 | SIGdial | Boosting Naturalness of Language in Task-oriented Dialogues via Adversarial Training. | Chenguang Zhu |
| 2019 | ACL | Embedding Imputation with Grounded Language Information. | Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve |
| 2019 | EMNLP | Parameter-free Sentence Embedding via Orthogonal Basis. | Ziyi Yang, Chenguang Zhu, Weizhu Chen |
| 2019 | EMNLP | Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue. | Chenguang Zhu, Michael Zeng, Xuedong Huang |
| 2019 | ICSE | A framework for checking regression test selection tools. | Chenguang Zhu, Owolabi Legunsen, August Shi, Milos Gligoric |
| 2019 | NAACL | Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering. | Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley |
| 2019 | SIGdial | SIM: A Slot-Independent Neural Model for Dialogue State Tracking. | Chenguang Zhu, Michael Zeng, Xuedong Huang |
| 2018 | ICLR | FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension. | Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen |
| 2018 | ICSE | CSlicerCloud: a web-based semantic history slicing framework. | Yi Li, Chenguang Zhu, Julia Rubin, Marsha Chechik |
| 2018 | ICSE | Towards refactoring-aware regression test selection. | Kaiyuan Wang, Chenguang Zhu, Ahmet elik, Jongwook Kim, Don S. Batory, Milos Gligoric |
| 2017 | MSR | A dataset for dynamic discovery of semantic changes in version controlled software histories. | Chenguang Zhu, Yi Li, Julia Rubin, Marsha Chechik |
| 2017 | SPLC | FHistorian: Locating Features in Version Histories. | Yi Li, Chenguang Zhu, Julia Rubin, Marsha Chechik |
| 2012 | KDD | Information diffusion and external influence in networks. | Seth A. Myers, Chenguang Zhu, Jure Leskovec |
| 2010 | WWW | Co-optimization of multiple relevance metrics in web search. | Dong Wang, Chenguang Zhu, Weizhu Chen, Gang Wang, Zheng Chen |
| 2010 | WSDM | A novel click model and its applications to online advertising. | Zeyuan Allen Zhu, Weizhu Chen, Tom Minka, Chenguang Zhu, Zheng Chen |
| 2009 | CIKM | To divide and conquer search ranking by learning query difficulty. | Zeyuan Allen Zhu, Weizhu Chen, Tao Wan, Chenguang Zhu, Gang Wang, Zheng Chen |
| 2009 | CIKM | A general magnitude-preserving boosting algorithm for search ranking. | Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang Wang, Dong Wang, Zheng Chen |
| 2009 | ICDM | P-packSVM: Parallel Primal grAdient desCent Kernel SVM. | Zeyuan Allen Zhu, Weizhu Chen, Gang Wang, Chenguang Zhu, Zheng Chen |
| 2009 | ICDM | Inverse Time Dependency in Convex Regularized Learning. | Zeyuan Allen Zhu, Weizhu Chen, Chenguang Zhu, Gang Wang, Haixun Wang, Zheng Chen |