Pengcheng He - RankMe

131 papers A* 25B 1Journal 75Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Integrated recovery of air cargo transportation under various abnormal scenarios. Eur. J. Oper. Res. Tianwei Zhou, Pengcheng He, Weibin Dai, Ziheng Liu, Changlong Gao, Yumiao Huang, Huan Chen, Yankun Geng, Ben Niu
2026	J	`jnl`	Reinforcement World Model Learning for LLM-based Agents. CoRR Xiao Yu, Baolin Peng, Ruize Xu, Yelong Shen, Pengcheng He, Suman Nath, Nikhil Singh, Jiangfeng Gao, Zhou Yu
2025	J	`jnl`	Boundary-aware adversarial ensemble learning for multivariate time series anomaly detection. Knowl. Based Syst. Pengcheng He, Xiaoyang Tan, Yuehua Cheng
2025	J	`jnl`	Chain of Draft: Thinking Faster by Writing Less. CoRR Silei Xu, Wenhao Xie, Lingxiao Zhao, Pengcheng He
2025	A*	`conf`	Deep Reinforcement Learning from Hierarchical Preference Design. ICML Alexander Bukharin, Yixiao Li, Pengcheng He, Tuo Zhao
2025	J	`jnl`	Optimization-Inspired Graph Neural Network for Cellular Network Optimization. IEEE Trans. Mob. Comput. Pengcheng He, Yijia Tang, Fan Xu, Qingjiang Shi
2025	J	`jnl`	RL from Teacher-Model Refinement: Gradual Imitation Learning for Machine Translation. CoRR Dongyub Jude Lee, Zhenyi Ye, Pengcheng He
2025	J	`jnl`	Summaries, Highlights, and Action Items: Design, Implementation and Evaluation of an LLM-powered Meeting Recap System. Proc. ACM Hum. Comput. Interact. Sumit Asthana, Sagih Hilleli, Pengcheng He, Aaron Halfaker
2025	J	`jnl`	ThetaEvolve: Test-time Learning on Open Problems. CoRR Yiping Wang, Shao-Rong Su, Zhiyuan Zeng, Eva Xu, Liliang Ren, Xinyu Yang, Zeyi Huang, Xuehai He, Luyao Ma, Baolin Peng, Hao Cheng, Pengcheng He, Weizhu Chen, Shuohang Wang, Simon Shaolei Du, Yelong Shen
2025	J	`jnl`	Vehealth: pervasive RFID-based driver respiration and heart rate monitoring in driving scenarios. Wirel. Networks Xinyan Du, Yifan Li, Hao Guo, Jinyu Luo, Pengcheng He, Jin Cui
2024	J	`jnl`	A Parallel Zeroth-Order Framework for Efficient Cellular Network Optimization. IEEE Trans. Wirel. Commun. Pengcheng He, Siyuan Lu, Fan Xu, Yibin Kang, Qi Yan, Qingjiang Shi
2024	A*	`conf`	DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models. ICLR Yung-Sung Chuang, Yujia Xie, Hongyin Luo, Yoon Kim, James R. Glass, Pengcheng He
2024	A*	`conf`	Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection. EMNLP Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan
2024	A*	`conf`	Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. ICLR Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
2024	A*	`conf`	LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models. ICLR Yixiao Li, Yifan Yu, Chen Liang, Nikos Karampatziakis, Pengcheng He, Weizhu Chen, Tuo Zhao
2024	—	`conf`	PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization. LREC/COLING Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan
2024	J	`jnl`	Parameter Control Framework for Multiobjective Evolutionary Computation Based on Deep Reinforcement Learning. Int. J. Intell. Syst. Tianwei Zhou, Wenwen Zhang, Ben Niu, Pengcheng He, Guanghui Yue
2024	—	`conf`	Personalized Abstractive Summarization by Tri-agent Generation Pipeline. EACL (Findings) Wen Xiao, Yujia Xie, Giuseppe Carenini, Pengcheng He
2024	A*	`conf`	Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. ICLR Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He
2024	A*	`conf`	Switchable Decision: Dynamic Neural Generation Networks. ICML Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou
2024	J	`jnl`	Switchable Decision: Dynamic Neural Generation Networks. CoRR Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou
2023	J	`jnl`	A Prototype-Oriented Clustering for Domain Shift with Source Privacy. CoRR Korawat Tanwisuth, Shujian Zhang, Pengcheng He, Mingyuan Zhou
2023	J	`jnl`	A novel competitive constrained dual-archive dual-stage evolutionary algorithm for constrained multiobjective optimization. Swarm Evol. Comput. Tianwei Zhou, Pengcheng He, Ben Niu, Guanghui Yue, Hong Wang
2023	A*	`conf`	Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning. ICLR Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao
2023	J	`jnl`	Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning. CoRR Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao
2023	—	`conf`	Cellular Network Optimization Using Unfolding-Based Graph Neural Networks. SPAWC Pengcheng He, Yijia Tang, Fan Xu, Qingjiang Shi
2023	J	`jnl`	ChatGPT-steered Editing Instructor for Customization of Abstractive Summarization. CoRR Wen Xiao, Yujia Xie, Giuseppe Carenini, Pengcheng He
2023	J	`jnl`	Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback. CoRR Baolin Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
2023	—	`conf`	DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization. ACL (1) Yu Li, Baolin Peng, Pengcheng He, Michel Galley, Zhou Yu, Jianfeng Gao
2023	A*	`conf`	DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing. ICLR Pengcheng He, Jianfeng Gao, Weizhu Chen
2023	J	`jnl`	Deep Reinforcement Learning from Hierarchical Weak Preference Feedback. CoRR Alexander Bukharin, Yixiao Li, Pengcheng He, Weizhu Chen, Tuo Zhao
2023	A*	`conf`	Diffusion-GAN: Training GANs with Diffusion. ICLR Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2023	J	`jnl`	Do you really follow me? Adversarial Instructions for Evaluating the Robustness of Large Language Models. CoRR Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan
2023	J	`jnl`	DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models. CoRR Yung-Sung Chuang, Yujia Xie, Hongyin Luo, Yoon Kim, James R. Glass, Pengcheng He
2023	A*	`conf`	Guiding Large Language Models via Directional Stimulus Prompting. NeurIPS Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan
2023	J	`jnl`	Guiding Large Language Models via Directional Stimulus Prompting. CoRR Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan
2023	A*	`conf`	HyperTuning: Toward Adapting Large Language Models without Back-propagation. ICML Jason Phang, Yi Mao, Pengcheng He, Weizhu Chen
2023	A*	`conf`	In-Context Learning Unlocked for Diffusion Models. NeurIPS Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang (Atlas) Wang, Mingyuan Zhou
2023	J	`jnl`	In-Context Learning Unlocked for Diffusion Models. CoRR Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou
2023	J	`jnl`	Instruction Tuning with GPT-4. CoRR Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao
2023	J	`jnl`	Interactive Editing for Text Summarization. CoRR Yujia Xie, Xun Wang, Si-Qing Chen, Wayne Xiong, Pengcheng He
2023	—	`conf`	LMGQS: A Large-scale Dataset for Query-focused Summarization. EMNLP (Findings) Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng
2023	J	`jnl`	Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. CoRR Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
2023	A*	`conf`	Less is More: Task-aware Layer-wise Distillation for Language Model Compression. ICML Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao
2023	A*	`conf`	LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation. ICML Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao
2023	J	`jnl`	LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation. CoRR Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao
2023	J	`jnl`	LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models. CoRR Yixiao Li, Yifan Yu, Chen Liang, Pengcheng He, Nikos Karampatziakis, Weizhu Chen, Tuo Zhao
2023	A*	`conf`	POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models. ICML Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou
2023	J	`jnl`	POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models. CoRR Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou
2023	J	`jnl`	PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization. CoRR Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan
2023	A*	`conf`	Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. NeurIPS Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
2023	J	`jnl`	Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. CoRR Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
2023	J	`jnl`	Query Rewriting for Retrieval-Augmented Large Language Models. CoRR Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan
2023	A*	`conf`	Query Rewriting in Retrieval-Augmented Large Language Models. EMNLP Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan
2023	J	`jnl`	Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. CoRR Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He
2023	J	`jnl`	Summaries, Highlights, and Action items: Design, implementation and evaluation of an LLM-powered meeting recap system. CoRR Sumit Asthana, Sagih Hilleli, Pengcheng He, Aaron Halfaker
2023	J	`jnl`	Summarization with Precise Length Control. CoRR Lesly Miculicich, Yujia Xie, Song Wang, Pengcheng He
2023	A*	`conf`	Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders. ICLR Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2023	—	`conf`	Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. ACL (1) Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang
2022	—	`conf`	A Learned Multi-objective Bacterial Foraging Optimization Algorithm with Continuous Deep Q-Learning. ML4CS (3) Tianwei Zhou, Wenwen Zhang, Pengcheng He, Guanghui Yue
2022	—	`conf`	A Zeroth-Order Block Coordinate Gradient Descent Method For Cellular Network Optimization. ISWCS Pengcheng He, Siyuan Lu, Xin Guan, Yibin Kang, Qingjiang Shi
2022	—	`conf`	ALLSH: Active Learning Guided by Local Sensitivity and Hardness. NAACL-HLT (Findings) Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2022	J	`jnl`	ALLSH: Active Learning Guided by Local Sensitivity and Hardness. CoRR Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2022	—	`conf`	An Improved Particle Swarm Optimization Algorithm for Irregular Flight Recovery Problem. ICSI (1) Tianwei Zhou, Pengcheng He, Churong Zhang, Yichen Lai, Huifen Zhong, Xusheng Wu
2022	J	`jnl`	Attend to the Right Context: A Plug-and-Play Module for Content-Controllable Summarization. CoRR Wen Xiao, Lesly Miculicich, Yang Liu, Pengcheng He, Giuseppe Carenini
2022	—	`conf`	CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing. ACL (1) Chen Liang, Pengcheng He, Yelong Shen, Weizhu Chen, Tuo Zhao
2022	J	`jnl`	CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing. CoRR Chen Liang, Pengcheng He, Yelong Shen, Weizhu Chen, Tuo Zhao
2022	J	`jnl`	DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization. CoRR Yu Li, Baolin Peng, Pengcheng He, Michel Galley, Zhou Yu, Jianfeng Gao
2022	J	`jnl`	Diffusion-GAN: Training GANs with Diffusion. CoRR Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2022	J	`jnl`	Experiences and Lessons Learned From DR Resources Participating in the US and UK Capacity Markets: Mechanisms, Status, Dilemmas and Recommendations. IEEE Access Jin Sun, Jing Liu, Hao Chen, Pengcheng He, Huihong Yuan, Ze Yan
2022	J	`jnl`	GODEL: Large-Scale Pre-Training for Goal-Directed Dialog. CoRR Baolin Peng, Michel Galley, Pengcheng He, Chris Brockett, Lars Liden, Elnaz Nouri, Zhou Yu, Bill Dolan, Jianfeng Gao
2022	A*	`conf`	Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. IJCAI Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang
2022	J	`jnl`	HyperTuning: Toward Adapting Large Language Models without Back-propagation. CoRR Jason Phang, Yi Mao, Pengcheng He, Weizhu Chen
2022	J	`jnl`	Less is More: Task-aware Layer-wise Distillation for Language Model Compression. CoRR Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao
2022	J	`jnl`	Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs. CoRR Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2022	—	`conf`	MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation. NAACL-HLT Simiao Zuo, Qingru Zhang, Chen Liang, Pengcheng He, Tuo Zhao, Weizhu Chen
2022	J	`jnl`	MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation. CoRR Simiao Zuo, Qingru Zhang, Chen Liang, Pengcheng He, Tuo Zhao, Weizhu Chen
2022	J	`jnl`	Momentum Calibration for Text Generation. CoRR Xingxing Zhang, Yiran Liu, Xun Wang, Pengcheng He, Yang Yu, Si-Qing Chen, Wayne Xiong, Furu Wei
2022	A*	`conf`	No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. ICLR Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2022	J	`jnl`	No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. CoRR Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2022	—	`conf`	OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. NAACL-HLT Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen
2022	J	`jnl`	OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. CoRR Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen
2022	A*	`conf`	PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance. ICML Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao
2022	J	`jnl`	PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance. CoRR Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao
2022	—	`conf`	Reinforced Event-Driven Evolutionary Algorithm Based on Double Deep Q-network. ICSI (1) Tianwei Zhou, Wenwen Zhang, Junrui Lu, Pengcheng He, Keqin Yao
2022	J	`jnl`	Truncated Diffusion Probabilistic Models. CoRR Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2022	J	`jnl`	Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. CoRR Pengcheng He, Baolin Peng, Liyang Lu, Song Wang, Jie Mei, Yang Liu, Ruochen Xu, Hany Hassan Awadalla, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang
2021	J	`jnl`	A Novel Image Encryption Algorithm Based on the Delayed Maps and Permutation-Confusion-Diffusion Architecture. Secur. Commun. Networks Pengcheng He, Kehui Sun, Congxu Zhu
2021	—	`conf`	ARCH: Efficient Adversarial Regularized Training with Caching. EMNLP (Findings) Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2021	J	`jnl`	ARCH: Efficient Adversarial Regularized Training with Caching. CoRR Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2021	—	`conf`	Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach. EMNLP (1) Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2021	J	`jnl`	Adversarial Training as Stackelberg Game: An Unrolled Optimization Approach. CoRR Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2021	J	`jnl`	DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing. CoRR Pengcheng He, Jianfeng Gao, Weizhu Chen
2021	A*	`conf`	Deberta: decoding-Enhanced Bert with Disentangled Attention. ICLR Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen
2021	—	`conf`	Generation-Augmented Retrieval for Open-Domain Question Answering. ACL/IJCNLP (1) Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
2021	J	`jnl`	Greedy Multi-step Off-Policy Reinforcement Learning. CoRR Yuhui Wang, Pengcheng He, Xiaoyang Tan
2021	J	`jnl`	Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. CoRR Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang
2021	—	`conf`	Irregular Flight Timetable Recovery Under COVID-19: An Approach Based on Genetic Algorithm. DMBD (1) Tianwei Zhou, Junrui Lu, Wenwen Zhang, Pengcheng He, Ben Niu
2021	J	`jnl`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2021	—	`conf`	Reader-Guided Passage Reranking for Open-Domain Question Answering. ACL/IJCNLP (Findings) Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
2021	J	`jnl`	Reader-Guided Passage Reranking for Open-Domain Question Answering. CoRR Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
2021	—	`conf`	Research on Distributed Amplifier Circuit Based on CMOS Process. CONF-SPML Pengcheng He
2021	—	`conf`	Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization. ACL/IJCNLP (1) Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao, Weizhu Chen
2021	J	`jnl`	Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization. CoRR Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao, Weizhu Chen
2021	—	`conf`	Token-wise Curriculum Learning for Neural Machine Translation. EMNLP (Findings) Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Tuo Zhao
2021	J	`jnl`	Token-wise Curriculum Learning for Neural Machine Translation. CoRR Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Tuo Zhao
2021	—	`conf`	UnitedQA: A Hybrid Approach for Open Domain Question Answering. ACL/IJCNLP (1) Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
2021	J	`jnl`	UnitedQA: A Hybrid Approach for Open Domain Question Answering. CoRR Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
2020	J	`jnl`	Adversarial Training for Large Neural Language Models. CoRR Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
2020	J	`jnl`	DeBERTa: Decoding-enhanced BERT with Disentangled Attention. CoRR Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen
2020	—	`conf`	Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning. EMNLP (1) Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen
2020	J	`jnl`	Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning. CoRR Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen
2020	J	`jnl`	Generation-Augmented Retrieval for Open-domain Question Answering. CoRR Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
2020	—	`conf`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2020	A*	`conf`	On the Variance of the Adaptive Learning Rate and Beyond. ICLR Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
2020	B	`conf`	Robust TOA-Based Source Self-Positioning With Clock Imperfection. WCNC Pengcheng He, Xiaohu Jiang, Qingjiang Shi
2020	A*	`conf`	SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization. ACL Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao
2020	—	`conf`	The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. ACL (demo) Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao
2020	J	`jnl`	The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. CoRR Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao
2019	J	`jnl`	A Bi-Attention Adversarial Network for Prostate Cancer Segmentation. IEEE Access Guokai Zhang, Weigang Wang, Dinghao Yang, Jihao Luo, Pengcheng He, Yongtong Wang, Ye Luo, Binghui Zhao, Jianwei Lu
2019	J	`jnl`	A Hybrid Neural Network Model for Commonsense Reasoning. CoRR Pengcheng He, Xiaodong Liu, Weizhu Chen, Jianfeng Gao
2019	J	`jnl`	Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding. CoRR Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
2019	—	`conf`	Multi-Task Deep Neural Networks for Natural Language Understanding. ACL (1) Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
2019	J	`jnl`	Multi-Task Deep Neural Networks for Natural Language Understanding. CoRR Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
2019	J	`jnl`	On the Variance of the Adaptive Learning Rate and Beyond. CoRR Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
2019	J	`jnl`	SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization. CoRR Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao
2019	J	`jnl`	X-SQL: reinforce schema representation with context. CoRR Pengcheng He, Yi Mao, Kaushik Chakrabarti, Weizhu Chen
2018	J	`jnl`	3D Spatial Pyramid Dilated Network for Pulmonary Nodule Classification. Symmetry Guokai Zhang, Xiao Liu, Dandan Zhu, Pengcheng He, Lipeng Liang, Ye Luo, Jianwei Lu
2017	—	`conf`	Scalable Deep Document / Sequence Reasoning with Cognitive Toolkit. WWW (Companion Volume) Sayan Pathak, Pengcheng He, William Darling
2014	—	`conf`	Low illumination image Retinex enhancement algorithm based on guided filtering. CCIS Jingcao Yin, Hongbo Li, Junping Du, Pengcheng He
2012	—	`conf`	The design and implementation of the 1911 revolution ontology search engine. FSKD Junmin Ye, Pengcheng He, Shizi Li, Jingru Chen, Tong Tian