Li Dong - RankMe

218 papers A* 43A 1Journal 134Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Breaking Training Bottlenecks: Effective and Stable Reinforcement Learning for Coding Models. CoRR Zongqian Li, Shaohan Huang, Zewen Chi, Yixuan Su, Lexin Zhou, Li Dong, Nigel Collier, Furu Wei
2026	J	`jnl`	LLM-in-Sandbox Elicits General Agentic Intelligence. CoRR Daixuan Cheng, Shaohan Huang, Yuxian Gu, Huatong Song, Guoxin Chen, Li Dong, Wayne Xin Zhao, Ji-Rong Wen, Furu Wei
2026	J	`jnl`	Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge. CoRR Yao Tang, Li Dong, Yaru Hao, Qingxiu Dong, Furu Wei, Jiatao Gu
2026	J	`jnl`	Online Experiential Learning for Language Models. CoRR Tianzhu Ye, Li Dong, Qingxiu Dong, Xun Wu, Shaohan Huang, Furu Wei
2026	J	`jnl`	SlideSparse: Fast and Flexible (2N-2):2N Structured Sparsity. CoRR Hanyong Shao, Yingbo Hao, Ting Song, Yan Xia, Di Zhang, Shaohan Huang, Xun Wu, Songchen Xu, Le Xu, Li Dong, Zewen Chi, Yi Zou, Furu Wei
2026	J	`jnl`	Sparse-BitNet: 1.58-bit LLMs are Naturally Friendly to Semi-Structured Sparsity. CoRR Di Zhang, Xun Wu, Shaohan Huang, Yudong Wang, Hanyong Shao, Yingbo Hao, Zewen Chi, Li Dong, Ting Song, Yan Xia, Zhifang Sui, Furu Wei
2026	J	`jnl`	VIBEVOICE-ASR Technical Report. CoRR Zhiliang Peng, Jianwei Yu, Yaoyao Chang, Zilong Wang, Li Dong, Yingbo Hao, Yujie Tu, Chenyu Yang, Wenhui Wang, Songchen Xu, Yutao Sun, Hangbo Bao, Weijiang Xu, Yi Zhu, Zehua Wang, Ting Song, Yan Xia, Zewen Chi, Shaohan Huang, Liang Wang, Chuang Ding, Shuai Wang, Xie Chen, Furu Wei
2025	J	`jnl`	BitNet Distillation. CoRR Xun Wu, Shaohan Huang, Wenhui Wang, Ting Song, Li Dong, Yan Xia, Furu Wei
2025	J	`jnl`	BitNet: 1-bit Pre-training for Large Language Models. J. Mach. Learn. Res. Hongyu Wang, Shuming Ma, Lingxiao Ma, Lei Wang, Wenhui Wang, Li Dong, Shaohan Huang, Huaijie Wang, Jilong Xue, Ruiping Wang, Yi Wu, Furu Wei
2025	J	`jnl`	Black-Box On-Policy Distillation of Large Language Models. CoRR Tianzhu Ye, Li Dong, Zewen Chi, Xun Wu, Shaohan Huang, Furu Wei
2025	A*	`conf`	Data Selection via Optimal Control for Language Models. ICLR Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang
2025	A*	`conf`	Differential Transformer. ICLR Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei
2025	J	`jnl`	DocReward: A Document Reward Model for Structuring and Stylizing. CoRR Junpeng Liu, Yuzhong Zhao, Bowen Cao, Jiayu Ding, Yilin Jia, Tengchao Lv, Yupan Huang, Shaohan Huang, Nan Yang, Li Dong, Lei Cui, Tao Ge, Xun Wang, Huitian Jiao, Sun Mao, FNU Kartik, Si-Qing Chen, Wai Lam, Furu Wei
2025	A*	`conf`	Imagine While Reasoning in Space: Multimodal Visualization-of-Thought. ICML Chengzu Li, Wenshan Wu, Huanyu Zhang, Yan Xia, Shaoguang Mao, Li Dong, Ivan Vulic, Furu Wei
2025	J	`jnl`	Imagine while Reasoning in Space: Multimodal Visualization-of-Thought. CoRR Chengzu Li, Wenshan Wu, Huanyu Zhang, Yan Xia, Shaoguang Mao, Li Dong, Ivan Vulic, Furu Wei
2025	J	`jnl`	Information-Preserving Reformulation of Reasoning Traces for Antidistillation. CoRR Jiayu Ding, Lei Cui, Li Dong, Nanning Zheng, Furu Wei
2025	J	`jnl`	Latent Sketchpad: Sketching Visual Thoughts to Elicit Multimodal Reasoning in MLLMs. CoRR Huanyu Zhang, Wenshan Wu, Chengzu Li, Ning Shang, Yan Xia, Yangyu Huang, Yifan Zhang, Li Dong, Zhang Zhang, Liang Wang, Tieniu Tan, Furu Wei
2025	—	`conf`	Model as a Game: On Numerical and Spatial Consistency for Generative Games. ICCVW Jingye Chen, Yuzhong Zhao, Yupan Huang, Lei Cui, Li Dong, Tengchao Lv, Qifeng Chen, Furu Wei
2025	J	`jnl`	Model as a Game: On Numerical and Spatial Consistency for Generative Games. CoRR Jingye Chen, Yuzhong Zhao, Yupan Huang, Lei Cui, Li Dong, Tengchao Lv, Qifeng Chen, Furu Wei
2025	J	`jnl`	On-Policy RL with Optimal Reward Baseline. CoRR Yaru Hao, Li Dong, Xun Wu, Shaohan Huang, Zewen Chi, Furu Wei
2025	J	`jnl`	Rectified Sparse Attention. CoRR Yutao Sun, Tianzhu Ye, Li Dong, Yuqing Xia, Jian Chen, Yizhao Gao, Shijie Cao, Jianyong Wang, Furu Wei
2025	J	`jnl`	Reinforcement Pre-Training. CoRR Qingxiu Dong, Li Dong, Yao Tang, Tianzhu Ye, Yutao Sun, Zhifang Sui, Furu Wei
2025	J	`jnl`	Reward Reasoning Model. CoRR Jiaxin Guo, Zewen Chi, Li Dong, Qingxiu Dong, Xun Wu, Shaohan Huang, Furu Wei
2025	J	`jnl`	Scaling Laws of Synthetic Data for Language Models. CoRR Zeyu Qin, Qingxiu Dong, Xingxing Zhang, Li Dong, Xiaolong Huang, Ziyi Yang, Mahmoud Khademi, Dongdong Zhang, Hany Hassan Awadalla, Yi R. Fung, Weizhu Chen, Minhao Cheng, Furu Wei
2025	J	`jnl`	SeerAttention-R: Sparse Attention Adaptation for Long Reasoning. CoRR Yizhao Gao, Shuming Guo, Shijie Cao, Yuqing Xia, Yu Cheng, Lei Wang, Lingxiao Ma, Yutao Sun, Tianzhu Ye, Li Dong, Hayden Kwok-Hay So, Yu Hua, Ting Cao, Fan Yang, Mao Yang
2025	A*	`conf`	Self-Boosting Large Language Models with Synthetic Preference Data. ICLR Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei
2025	A*	`conf`	Semi-Parametric Retrieval via Binary Bag-of-Tokens Index. ICLR Jiawei Zhou, Li Dong, Furu Wei, Lei Chen
2025	J	`jnl`	Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. Trans. Mach. Learn. Res. Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei
2025	J	`jnl`	The Era of Agentic Organization: Learning to Organize with Language Models. CoRR Zewen Chi, Li Dong, Qingxiu Dong, Yaru Hao, Xun Wu, Shaohan Huang, Furu Wei
2025	J	`jnl`	Think Only When You Need with Large Hybrid-Reasoning Models. CoRR Lingjie Jiang, Xun Wu, Shaohan Huang, Qingxiu Dong, Zewen Chi, Li Dong, Xingxing Zhang, Tengchao Lv, Lei Cui, Furu Wei
2025	J	`jnl`	Thinking Augmented Pre-training. CoRR Liang Wang, Nan Yang, Shaohan Huang, Li Dong, Furu Wei
2025	J	`jnl`	Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts. CoRR Di Zhang, Xun Wu, Shaohan Huang, Yaru Hao, Li Dong, Zewen Chi, Zhifang Sui, Furu Wei
2025	J	`jnl`	VibeVoice Technical Report. CoRR Zhiliang Peng, Jianwei Yu, Wenhui Wang, Yaoyao Chang, Yutao Sun, Li Dong, Yi Zhu, Weijiang Xu, Hangbo Bao, Zehua Wang, Shaohan Huang, Yan Xia, Furu Wei
2025	J	`jnl`	WildLong: Synthesizing Realistic Long-Context Instruction Data at Scale. CoRR Jiaxi Li, Xingxing Zhang, Xun Wang, Xiaolong Huang, Li Dong, Liang Wang, Si-Qing Chen, Wei Lu, Furu Wei
2024	J	`jnl`	Data Selection via Optimal Control for Language Models. CoRR Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang
2024	J	`jnl`	DeepNet: Scaling Transformers to 1,000 Layers. IEEE Trans. Pattern Anal. Mach. Intell. Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Dongdong Zhang, Furu Wei
2024	J	`jnl`	Differential Transformer. CoRR Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei
2024	J	`jnl`	Direct Preference Knowledge Distillation for Large Language Models. CoRR Yixing Li, Yuxian Gu, Li Dong, Dequan Wang, Yu Cheng, Furu Wei
2024	J	`jnl`	Fine-tuning pretrained transformer encoders for sequence-to-sequence learning. Int. J. Mach. Learn. Cybern. Hangbo Bao, Li Dong, Wenhui Wang, Nan Yang, Songhao Piao, Furu Wei
2024	J	`jnl`	Generic-to-Specific Distillation of Masked Autoencoders. IEEE Trans. Circuits Syst. Video Technol. Wei Huang, Zhiliang Peng, Li Dong, Furu Wei, Qixiang Ye, Jianbin Jiao
2024	A*	`conf`	Grounding Multimodal Large Language Models to the World. ICLR Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Qixiang Ye, Furu Wei
2024	A	`conf`	KOSMOS-E : Learning to Follow Instruction for Robotic Grasping. IROS Zhi Wang, Xun Wu, Shaohan Huang, Li Dong, Wenhui Wang, Shuming Ma, Furu Wei
2024	A*	`conf`	Kosmos-G: Generating Images in Context with Multimodal Large Language Models. ICLR Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei
2024	—	`conf`	Language Models as Inductive Reasoners. EACL (1) Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei
2024	A*	`conf`	Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models. NeurIPS Wenshan Wu, Shaoguang Mao, Yadong Zhang, Yan Xia, Li Dong, Lei Cui, Furu Wei
2024	A*	`conf`	MiniLLM: Knowledge Distillation of Large Language Models. ICLR Yuxian Gu, Li Dong, Furu Wei, Minlie Huang
2024	A*	`conf`	Multi-Head Mixture-of-Experts. NeurIPS Xun Wu, Shaohan Huang, Wenhui Wang, Shuming Ma, Li Dong, Furu Wei
2024	J	`jnl`	Multimodal Latent Language Modeling with Next-Token Diffusion. CoRR Yutao Sun, Hangbo Bao, Wenhui Wang, Zhiliang Peng, Li Dong, Shaohan Huang, Jianyong Wang, Furu Wei
2024	J	`jnl`	RedStone: Curating General, Code, Math, and QA Data for Large Language Models. CoRR Yaoyao Chang, Lei Cui, Li Dong, Shaohan Huang, Yangyu Huang, Yupan Huang, Scarlett Li, Tengchao Lv, Shuming Ma, Qinzheng Sun, Wenhui Wang, Furu Wei, Ying Xin, Mao Yang, Qiufeng Yin, Xingxing Zhang
2024	J	`jnl`	Self-Boosting Large Language Models with Synthetic Preference Data. CoRR Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei
2024	J	`jnl`	Semi-Parametric Retrieval via Binary Token Index. CoRR Jiawei Zhou, Li Dong, Furu Wei, Lei Chen
2024	J	`jnl`	Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. CoRR Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei
2024	J	`jnl`	The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits. CoRR Shuming Ma, Hongyu Wang, Lingxiao Ma, Lei Wang, Wenhui Wang, Shaohan Huang, Li Dong, Ruiping Wang, Jilong Xue, Furu Wei
2024	J	`jnl`	Towards Optimal Learning of Language Models. CoRR Yuxian Gu, Li Dong, Yaru Hao, Qingxiu Dong, Minlie Huang, Furu Wei
2024	J	`jnl`	Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models. CoRR Wenshan Wu, Shaoguang Mao, Yadong Zhang, Yan Xia, Li Dong, Lei Cui, Furu Wei
2024	A*	`conf`	You Only Cache Once: Decoder-Decoder Architectures for Language Models. NeurIPS Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei
2024	J	`jnl`	You Only Cache Once: Decoder-Decoder Architectures for Language Models. CoRR Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei
2023	—	`conf`	A Length-Extrapolatable Transformer. ACL (1) Yutao Sun, Li Dong, Barun Patra, Shuming Ma, Shaohan Huang, Alon Benhaim, Vishrav Chaudhary, Xia Song, Furu Wei
2023	J	`jnl`	A Unified View of Masked Image Modeling. Trans. Mach. Learn. Res. Zhiliang Peng, Li Dong, Hangbo Bao, Furu Wei, Qixiang Ye
2023	A*	`conf`	Augmenting Language Models with Long-Term Memory. NeurIPS Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
2023	J	`jnl`	Augmenting Language Models with Long-Term Memory. CoRR Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
2023	—	`conf`	Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning. ACL (1) Barun Patra, Saksham Singhal, Shaohan Huang, Zewen Chi, Li Dong, Furu Wei, Vishrav Chaudhary, Xia Song
2023	J	`jnl`	BitNet: Scaling 1-bit Transformers for Large Language Models. CoRR Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Huaijie Wang, Lingxiao Ma, Fan Yang, Ruiping Wang, Yi Wu, Furu Wei
2023	A*	`conf`	Corrupted Image Modeling for Self-Supervised Visual Pre-Training. ICLR Yuxin Fang, Li Dong, Hangbo Bao, Xinggang Wang, Furu Wei
2023	A*	`conf`	Extensible Prompts for Language Models on Zero-shot Language Style Customization. NeurIPS Tao Ge, Jing Hu, Li Dong, Shaoguang Mao, Yan Xia, Xun Wang, Si-Qing Chen, Furu Wei
2023	—	`conf`	GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator. ACL (1) Jian Yang, Shuming Ma, Li Dong, Shaohan Huang, Haoyang Huang, Yuwei Yin, Dongdong Zhang, Liqun Yang, Furu Wei, Zhoujun Li
2023	A*	`conf`	Generic-to-Specific Distillation of Masked Autoencoders. CVPR Wei Huang, Zhiliang Peng, Li Dong, Furu Wei, Jianbin Jiao, Qixiang Ye
2023	J	`jnl`	Generic-to-Specific Distillation of Masked Autoencoders. CoRR Wei Huang, Zhiliang Peng, Li Dong, Furu Wei, Jianbin Jiao, Qixiang Ye
2023	A*	`conf`	Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks. CVPR Wenhui Wang, Hangbo Bao, Li Dong, Johan Bjorck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, Furu Wei
2023	J	`jnl`	Knowledge Distillation of Large Language Models. CoRR Yuxian Gu, Li Dong, Furu Wei, Minlie Huang
2023	J	`jnl`	Kosmos-2.5: A Multimodal Literate Model. CoRR Tengchao Lv, Yupan Huang, Jingye Chen, Lei Cui, Shuming Ma, Yaoyao Chang, Shaohan Huang, Wenhui Wang, Li Dong, Weiyao Luo, Shaoxiang Wu, Guoxin Wang, Cha Zhang, Furu Wei
2023	J	`jnl`	Kosmos-2: Grounding Multimodal Large Language Models to the World. CoRR Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Furu Wei
2023	J	`jnl`	Kosmos-G: Generating Images in Context with Multimodal Large Language Models. CoRR Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei
2023	A*	`conf`	Language Is Not All You Need: Aligning Perception with Language Models. NeurIPS Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Nils Johan Bertil Bjorck, Vishrav Chaudhary, Subhojit Som, Xia Song, Furu Wei
2023	J	`jnl`	Language Is Not All You Need: Aligning Perception with Language Models. CoRR Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Johan Bjorck, Vishrav Chaudhary, Subhojit Som, Xia Song, Furu Wei
2023	J	`jnl`	Large Language Model for Science: A Study on P vs. NP. CoRR Qingxiu Dong, Li Dong, Ke Xu, Guangyan Zhou, Yaru Hao, Zhifang Sui, Furu Wei
2023	J	`jnl`	LongNet: Scaling Transformers to 1, 000, 000, 000 Tokens. CoRR Jiayu Ding, Shuming Ma, Li Dong, Xingxing Zhang, Shaohan Huang, Wenhui Wang, Nanning Zheng, Furu Wei
2023	A*	`conf`	Magneto: A Foundation Transformer. ICML Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei
2023	A*	`conf`	Non-Contrastive Learning Meets Language-Image Pre-Training. CVPR Jinghao Zhou, Li Dong, Zhe Gan, Lijuan Wang, Furu Wei
2023	A*	`conf`	Optimizing Prompts for Text-to-Image Generation. NeurIPS Yaru Hao, Zewen Chi, Li Dong, Furu Wei
2023	—	`conf`	Pre-Training to Learn in Context. ACL (1) Yuxian Gu, Li Dong, Furu Wei, Minlie Huang
2023	J	`jnl`	Pre-Training to Learn in Context. CoRR Yuxian Gu, Li Dong, Furu Wei, Minlie Huang
2023	A*	`conf`	Prototypical Calibration for Few-shot Learning of Language Models. ICLR Zhixiong Han, Yaru Hao, Li Dong, Yutao Sun, Furu Wei
2023	J	`jnl`	Retentive Network: A Successor to Transformer for Large Language Models. CoRR Yutao Sun, Li Dong, Shaohan Huang, Shuming Ma, Yuqing Xia, Jilong Xue, Jianyong Wang, Furu Wei
2023	A*	`conf`	Visually-Augmented Language Modeling. ICLR Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
2023	—	`conf`	Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. ACL (Findings) Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Shuming Ma, Zhifang Sui, Furu Wei
2022	J	`jnl`	A Length-Extrapolatable Transformer. CoRR Yutao Sun, Li Dong, Barun Patra, Shuming Ma, Shaohan Huang, Alon Benhaim, Vishrav Chaudhary, Xia Song, Furu Wei
2022	J	`jnl`	A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models. CoRR Da Yin, Li Dong, Hao Cheng, Xiaodong Liu, Kai-Wei Chang, Furu Wei, Jianfeng Gao
2022	J	`jnl`	A Unified View of Masked Image Modeling. CoRR Zhiliang Peng, Li Dong, Hangbo Bao, Qixiang Ye, Furu Wei
2022	J	`jnl`	BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers. CoRR Zhiliang Peng, Li Dong, Hangbo Bao, Qixiang Ye, Furu Wei
2022	A*	`conf`	BEiT: BERT Pre-Training of Image Transformers. ICLR Hangbo Bao, Li Dong, Songhao Piao, Furu Wei
2022	J	`jnl`	Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning. CoRR Barun Patra, Saksham Singhal, Shaohan Huang, Zewen Chi, Li Dong, Furu Wei, Vishrav Chaudhary, Xia Song
2022	—	`conf`	CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment. ACL (1) Haoyu Song, Li Dong, Weinan Zhang, Ting Liu, Furu Wei
2022	J	`jnl`	CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment. CoRR Haoyu Song, Li Dong, Wei-Nan Zhang, Ting Liu, Furu Wei
2022	—	`conf`	CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation. EMNLP (Findings) Jian Yang, Shaohan Huang, Shuming Ma, Yuwei Yin, Li Dong, Dongdong Zhang, Hongcheng Guo, Zhoujun Li, Furu Wei
2022	J	`jnl`	CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation. CoRR Jian Yang, Shaohan Huang, Shuming Ma, Yuwei Yin, Li Dong, Dongdong Zhang, Hongcheng Guo, Zhoujun Li, Furu Wei
2022	—	`conf`	Controllable Natural Language Generation with Contrastive Prefixes. ACL (Findings) Jing Qian, Li Dong, Yelong Shen, Furu Wei, Weizhu Chen
2022	J	`jnl`	Controllable Natural Language Generation with Contrastive Prefixes. CoRR Jing Qian, Li Dong, Yelong Shen, Furu Wei, Weizhu Chen
2022	J	`jnl`	Corrupted Image Modeling for Self-Supervised Visual Pre-Training. CoRR Yuxin Fang, Li Dong, Hangbo Bao, Xinggang Wang, Furu Wei
2022	J	`jnl`	DeepNet: Scaling Transformers to 1, 000 Layers. CoRR Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Dongdong Zhang, Furu Wei
2022	J	`jnl`	Extensible Prompts for Language Models. CoRR Tao Ge, Jing Hu, Li Dong, Shaoguang Mao, Yan Xia, Xun Wang, Si-Qing Chen, Furu Wei
2022	J	`jnl`	Foundation Transformers. CoRR Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei
2022	J	`jnl`	GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator. CoRR Jian Yang, Shuming Ma, Li Dong, Shaohan Huang, Haoyang Huang, Yuwei Yin, Dongdong Zhang, Liqun Yang, Zhoujun Li, Furu Wei
2022	J	`jnl`	Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks. CoRR Wenhui Wang, Hangbo Bao, Li Dong, Johan Bjorck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, Furu Wei
2022	—	`conf`	Kformer: Knowledge Injection in Transformer Feed-Forward Layers. NLPCC (1) Yunzhi Yao, Shaohan Huang, Li Dong, Furu Wei, Huajun Chen, Ningyu Zhang
2022	J	`jnl`	Kformer: Knowledge Injection in Transformer Feed-Forward Layers. CoRR Yunzhi Yao, Shaohan Huang, Ningyu Zhang, Li Dong, Furu Wei, Huajun Chen
2022	—	`conf`	Knowledge Neurons in Pretrained Transformers. ACL (1) Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Baobao Chang, Furu Wei
2022	J	`jnl`	Language Models are General-Purpose Interfaces. CoRR Yaru Hao, Haoyu Song, Li Dong, Shaohan Huang, Zewen Chi, Wenhui Wang, Shuming Ma, Furu Wei
2022	J	`jnl`	Language Models as Inductive Reasoners. CoRR Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei
2022	J	`jnl`	Non-Contrastive Learning Meets Language-Image Pre-Training. CoRR Jinghao Zhou, Li Dong, Zhe Gan, Lijuan Wang, Furu Wei
2022	A*	`conf`	On the Representation Collapse of Sparse Mixture of Experts. NeurIPS Zewen Chi, Li Dong, Shaohan Huang, Damai Dai, Shuming Ma, Barun Patra, Saksham Singhal, Payal Bajaj, Xia Song, Xian-Ling Mao, Heyan Huang, Furu Wei
2022	J	`jnl`	On the Representation Collapse of Sparse Mixture of Experts. CoRR Zewen Chi, Li Dong, Shaohan Huang, Damai Dai, Shuming Ma, Barun Patra, Saksham Singhal, Payal Bajaj, Xia Song, Furu Wei
2022	J	`jnl`	Optimizing Prompts for Text-to-Image Generation. CoRR Yaru Hao, Zewen Chi, Li Dong, Furu Wei
2022	J	`jnl`	Prototypical Calibration for Few-shot Learning of Language Models. CoRR Zhixiong Han, Yaru Hao, Li Dong, Furu Wei
2022	—	`conf`	StableMoE: Stable Routing Strategy for Mixture of Experts. ACL (1) Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei
2022	J	`jnl`	StableMoE: Stable Routing Strategy for Mixture of Experts. CoRR Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei
2022	J	`jnl`	Structured Prompting: Scaling In-Context Learning to 1, 000 Examples. CoRR Yaru Hao, Yutao Sun, Li Dong, Zhixiong Han, Yuxian Gu, Furu Wei
2022	A*	`conf`	Swin Transformer V2: Scaling Up Capacity and Resolution. CVPR Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo
2022	—	`conf`	THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. ACL (Findings) Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei
2022	J	`jnl`	THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. CoRR Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei
2022	J	`jnl`	TorchScale: Transformers at Scale. CoRR Shuming Ma, Hongyu Wang, Shaohan Huang, Wenhui Wang, Zewen Chi, Li Dong, Alon Benhaim, Barun Patra, Vishrav Chaudhary, Xia Song, Furu Wei
2022	J	`jnl`	Transforming Wikipedia Into Augmented Data for Query-Focused Summarization. IEEE ACM Trans. Audio Speech Lang. Process. Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu
2022	J	`jnl`	VL-BEiT: Generative Vision-Language Pretraining. CoRR Hangbo Bao, Wenhui Wang, Li Dong, Furu Wei
2022	A*	`conf`	VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts. NeurIPS Hangbo Bao, Wenhui Wang, Li Dong, Qiang Liu, Owais Khan Mohammed, Kriti Aggarwal, Subhojit Som, Songhao Piao, Furu Wei
2022	J	`jnl`	Visually-Augmented Language Modeling. CoRR Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
2022	J	`jnl`	Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. CoRR Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Zhifang Sui, Furu Wei
2022	—	`conf`	XLM-E: Cross-lingual Language Model Pre-training via ELECTRA. ACL (1) Zewen Chi, Shaohan Huang, Li Dong, Shuming Ma, Bo Zheng, Saksham Singhal, Payal Bajaj, Xia Song, Xian-Ling Mao, Heyan Huang, Furu Wei
2021	—	`conf`	Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains. ACL/IJCNLP (Findings) Yunzhi Yao, Shaohan Huang, Wenhui Wang, Li Dong, Furu Wei
2021	J	`jnl`	Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains. CoRR Yunzhi Yao, Shaohan Huang, Wenhui Wang, Li Dong, Furu Wei
2021	—	`conf`	Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training. EMNLP (1) Bo Zheng, Li Dong, Shaohan Huang, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei
2021	J	`jnl`	Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training. CoRR Bo Zheng, Li Dong, Shaohan Huang, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei
2021	J	`jnl`	BEiT: BERT Pre-Training of Image Transformers. CoRR Hangbo Bao, Li Dong, Furu Wei
2021	—	`conf`	Consistency Regularization for Cross-Lingual Fine-Tuning. ACL/IJCNLP (1) Bo Zheng, Li Dong, Shaohan Huang, Wenhui Wang, Zewen Chi, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei
2021	J	`jnl`	Consistency Regularization for Cross-Lingual Fine-Tuning. CoRR Bo Zheng, Li Dong, Shaohan Huang, Wenhui Wang, Zewen Chi, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei
2021	J	`jnl`	DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders. CoRR Shuming Ma, Li Dong, Shaohan Huang, Dongdong Zhang, Alexandre Muzio, Saksham Singhal, Hany Hassan Awadalla, Xia Song, Furu Wei
2021	—	`conf`	Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment. ACL/IJCNLP (1) Zewen Chi, Li Dong, Bo Zheng, Shaohan Huang, Xian-Ling Mao, Heyan Huang, Furu Wei
2021	J	`jnl`	Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment. CoRR Zewen Chi, Li Dong, Bo Zheng, Shaohan Huang, Xian-Ling Mao, Heyan Huang, Furu Wei
2021	—	`conf`	InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training. NAACL-HLT Zewen Chi, Li Dong, Furu Wei, Nan Yang, Saksham Singhal, Wenhui Wang, Xia Song, Xian-Ling Mao, Heyan Huang, Ming Zhou
2021	J	`jnl`	Knowledge Neurons in Pretrained Transformers. CoRR Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Furu Wei
2021	J	`jnl`	Learning natural language interfaces with neural models. AI Matters Li Dong
2021	—	`conf`	Learning to Sample Replacements for ELECTRA Pre-Training. ACL/IJCNLP (Findings) Yaru Hao, Li Dong, Hangbo Bao, Ke Xu, Furu Wei
2021	J	`jnl`	Learning to Sample Replacements for ELECTRA Pre-Training. CoRR Yaru Hao, Li Dong, Hangbo Bao, Ke Xu, Furu Wei
2021	—	`conf`	Memory-Efficient Differentiable Transformer Architecture Search. ACL/IJCNLP (Findings) Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen
2021	J	`jnl`	Memory-Efficient Differentiable Transformer Architecture Search. CoRR Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen
2021	—	`conf`	MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers. ACL/IJCNLP (Findings) Wenhui Wang, Hangbo Bao, Shaohan Huang, Li Dong, Furu Wei
2021	—	`conf`	Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task. WMT@EMNLP Jian Yang, Shuming Ma, Haoyang Huang, Dongdong Zhang, Li Dong, Shaohan Huang, Alexandre Muzio, Saksham Singhal, Hany Hassan, Xia Song, Furu Wei
2021	J	`jnl`	Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task. CoRR Jian Yang, Shuming Ma, Haoyang Huang, Dongdong Zhang, Li Dong, Shaohan Huang, Alexandre Muzio, Saksham Singhal, Hany Hassan Awadalla, Xia Song, Furu Wei
2021	A*	`conf`	Self-Attention Attribution: Interpreting Information Interactions Inside Transformer. AAAI Yaru Hao, Li Dong, Furu Wei, Ke Xu
2021	J	`jnl`	Swin Transformer V2: Scaling Up Capacity and Resolution. CoRR Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo
2021	J	`jnl`	VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts. CoRR Wenhui Wang, Hangbo Bao, Li Dong, Furu Wei
2021	J	`jnl`	XLM-E: Cross-lingual Language Model Pre-training via ELECTRA. CoRR Zewen Chi, Shaohan Huang, Li Dong, Shuming Ma, Saksham Singhal, Payal Bajaj, Xia Song, Furu Wei
2021	—	`conf`	Zero-Shot Cross-Lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders. EMNLP (1) Guanhua Chen, Shuming Ma, Yun Chen, Li Dong, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei
2021	J	`jnl`	Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders. CoRR Guanhua Chen, Shuming Ma, Yun Chen, Li Dong, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei
2021	—	`conf`	mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs. EMNLP (1) Zewen Chi, Li Dong, Shuming Ma, Shaohan Huang, Saksham Singhal, Xian-Ling Mao, Heyan Huang, Xia Song, Furu Wei
2021	J	`jnl`	mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs. CoRR Zewen Chi, Li Dong, Shuming Ma, Shaohan Huang, Xian-Ling Mao, Heyan Huang, Furu Wei
2021	J	`jnl`	s2s-ft: Fine-Tuning Pretrained Transformer Encoders for Sequence-to-Sequence Learning. CoRR Hangbo Bao, Li Dong, Wenhui Wang, Nan Yang, Furu Wei
2020	—	`conf`	Can Monolingual Pretrained Models Help Cross-Lingual Classification? AACL/IJCNLP Zewen Chi, Li Dong, Furu Wei, Xianling Mao, Heyan Huang
2020	A*	`conf`	Cross-Lingual Natural Language Generation via Pre-Training. AAAI Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xian-Ling Mao, Heyan Huang
2020	A*	`conf`	Harvesting and Refining Question-Answer Pairs for Unsupervised QA. ACL Zhongli Li, Wenhui Wang, Li Dong, Furu Wei, Ke Xu
2020	J	`jnl`	Harvesting and Refining Question-Answer Pairs for Unsupervised QA. CoRR Zhongli Li, Wenhui Wang, Li Dong, Furu Wei, Ke Xu
2020	J	`jnl`	InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training. CoRR Zewen Chi, Li Dong, Furu Wei, Nan Yang, Saksham Singhal, Wenhui Wang, Xia Song, Xian-Ling Mao, Heyan Huang, Ming Zhou
2020	—	`conf`	Investigating Learning Dynamics of BERT Fine-Tuning. AACL/IJCNLP Yaru Hao, Li Dong, Furu Wei, Ke Xu
2020	A*	`conf`	MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. NeurIPS Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, Ming Zhou
2020	J	`jnl`	MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. CoRR Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, Ming Zhou
2020	J	`jnl`	MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers. CoRR Wenhui Wang, Hangbo Bao, Shaohan Huang, Li Dong, Furu Wei
2020	—	`conf`	Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. ECCV (30) Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao
2020	J	`jnl`	Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. CoRR Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao
2020	J	`jnl`	Self-Attention Attribution: Interpreting Information Interactions Inside Transformer. CoRR Yaru Hao, Li Dong, Furu Wei, Ke Xu
2020	A*	`conf`	UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. ICML Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon
2020	J	`jnl`	UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. CoRR Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
2020	J	`jnl`	XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders. CoRR Shuming Ma, Jian Yang, Haoyang Huang, Zewen Chi, Li Dong, Dongdong Zhang, Hany Hassan Awadalla, Alexandre Muzio, Akiko Eriguchi, Saksham Singhal, Xia Song, Arul Menezes, Furu Wei
2019	J	`jnl`	Can Monolingual Pretrained Models Help Cross-Lingual Classification? CoRR Zewen Chi, Li Dong, Furu Wei, Xianling Mao, Heyan Huang
2019	J	`jnl`	Cross-Lingual Natural Language Generation via Pre-Training. CoRR Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xianling Mao, Heyan Huang
2019	A*	`conf`	Data-to-Text Generation with Content Selection and Planning. AAAI Ratish Puduppully, Li Dong, Mirella Lapata
2019	—	`conf`	Data-to-text Generation with Entity Modeling. ACL (1) Ratish Puduppully, Li Dong, Mirella Lapata
2019	J	`jnl`	Data-to-text Generation with Entity Modeling. CoRR Ratish Puduppully, Li Dong, Mirella Lapata
2019	—	`conf`	Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension. MRQA@EMNLP Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Lei Cui, Songhao Piao, Ming Zhou
2019	—	`conf`	Learning to Ask Unanswerable Questions for Machine Reading Comprehension. ACL (1) Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu
2019	J	`jnl`	Learning to Ask Unanswerable Questions for Machine Reading Comprehension. CoRR Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu
2019	J	`jnl`	Multitask learning for biomedical named entity recognition with cross-sharing structure. BMC Bioinform. Xi Wang, Jiagao Lyu, Li Dong, Ke Xu
2019	J	`jnl`	Transforming Wikipedia into Augmented Data for Query-Focused Summarization. CoRR Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu
2019	A*	`conf`	Unified Language Model Pre-training for Natural Language Understanding and Generation. NeurIPS Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
2019	J	`jnl`	Unified Language Model Pre-training for Natural Language Understanding and Generation. CoRR Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
2019	—	`conf`	Visualizing and Understanding the Effectiveness of BERT. EMNLP/IJCNLP (1) Yaru Hao, Li Dong, Furu Wei, Ke Xu
2019	J	`jnl`	Visualizing and Understanding the Effectiveness of BERT. CoRR Yaru Hao, Li Dong, Furu Wei, Ke Xu
2018	—	`conf`	Coarse-to-Fine Decoding for Neural Semantic Parsing. ACL (1) Li Dong, Mirella Lapata
2018	J	`jnl`	Coarse-to-Fine Decoding for Neural Semantic Parsing. CoRR Li Dong, Mirella Lapata
2018	—	`conf`	Confidence Modeling for Neural Semantic Parsing. ACL (1) Li Dong, Chris Quirk, Mirella Lapata
2018	J	`jnl`	Confidence Modeling for Neural Semantic Parsing. CoRR Li Dong, Chris Quirk, Mirella Lapata
2018	J	`jnl`	Data-to-Text Generation with Content Selection and Planning. CoRR Ratish Puduppully, Li Dong, Mirella Lapata
2018	J	`jnl`	Proactive Resource Management for LTE in Unlicensed Spectrum: A Deep Learning Perspective. IEEE Trans. Wirel. Commun. Ursula Challita, Li Dong, Walid Saad
2017	—	`conf`	Learning to Generate Product Reviews from Attributes. EACL (1) Li Dong, Shaohan Huang, Furu Wei, Mirella Lapata, Ming Zhou, Ke Xu
2017	A*	`conf`	Learning to Paraphrase for Question Answering. EMNLP Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata
2017	J	`jnl`	Learning to Paraphrase for Question Answering. CoRR Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata
2017	J	`jnl`	Proactive Resource Management in LTE-U Systems: A Deep Learning Perspective. CoRR Ursula Challita, Li Dong, Walid Saad
2016	J	`jnl`	Adaptive Multi-Compositionality for Recursive Neural Network Models. IEEE ACM Trans. Audio Speech Lang. Process. Li Dong, Furu Wei, Ke Xu, Shixia Liu, Ming Zhou
2016	—	`conf`	Language to Logical Form with Neural Attention. ACL (1) Li Dong, Mirella Lapata
2016	J	`jnl`	Language to Logical Form with Neural Attention. CoRR Li Dong, Mirella Lapata
2016	A*	`conf`	Long Short-Term Memory-Networks for Machine Reading. EMNLP Jianpeng Cheng, Li Dong, Mirella Lapata
2016	J	`jnl`	Long Short-Term Memory-Networks for Machine Reading. CoRR Jianpeng Cheng, Li Dong, Mirella Lapata
2016	A*	`conf`	Solving and Generating Chinese Character Riddles. EMNLP Chuanqi Tan, Furu Wei, Li Dong, Weifeng Lv, Ming Zhou
2016	A*	`conf`	Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. IJCAI Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou
2016	J	`jnl`	Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. CoRR Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou
2015	A*	`conf`	A Hybrid Neural Model for Type Classification of Entity Mentions. IJCAI Li Dong, Furu Wei, Hong Sun, Ming Zhou, Ke Xu
2015	J	`jnl`	A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. Duyu Tang, Bing Qin, Furu Wei, Li Dong, Ting Liu, Ming Zhou
2015	J	`jnl`	A Statistical Parsing Framework for Sentiment Classification. Comput. Linguistics Li Dong, Furu Wei, Shujie Liu, Ming Zhou, Ke Xu
2015	—	`conf`	Question Answering over Freebase with Multi-Column Convolutional Neural Networks. ACL (1) Li Dong, Furu Wei, Ming Zhou, Ke Xu
2015	A*	`conf`	Ranking with Recursive Neural Networks and Its Application to Multi-Document Summarization. AAAI Ziqiang Cao, Furu Wei, Li Dong, Sujian Li, Ming Zhou
2015	—	`conf`	Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets. SemEval@NAACL-HLT Li Dong, Furu Wei, Yichun Yin, Ming Zhou, Ke Xu
2014	A*	`conf`	A Joint Segmentation and Classification Framework for Sentiment Analysis. EMNLP Duyu Tang, Furu Wei, Bing Qin, Li Dong, Ting Liu, Ming Zhou
2014	J	`jnl`	A Statistical Parsing Framework for Sentiment Classification. CoRR Li Dong, Furu Wei, Shujie Liu, Ming Zhou, Ke Xu
2014	A*	`conf`	Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis. AAAI Li Dong, Furu Wei, Ming Zhou, Ke Xu
2014	—	`conf`	Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. ACL (2) Li Dong, Furu Wei, Chuanqi Tan, Duyu Tang, Ming Zhou, Ke Xu
2013	A*	`conf`	The Automated Acquisition of Suggestions from Tweets. AAAI Li Dong, Furu Wei, Yajuan Duan, Xiaohua Liu, Ming Zhou, Ke Xu
2013	J	`jnl`	Unraveling the origin of exponential law in intra-urban human mobility CoRR Xiao Liang, Jichang Zhao, Li Dong, Ke Xu
2012	J	`jnl`	Modeling collective human mobility: Understanding exponential law of intra-urban movement CoRR Xiao Liang, Jichang Zhao, Li Dong, Ke Xu
2012	A*	`conf`	MoodLens: an emoticon-based sentiment analysis system for chinese tweets. KDD Jichang Zhao, Li Dong, Junjie Wu, Ke Xu
2011	J	`jnl`	Performance of Local Information Based Link Prediction: A Sampling Perspective CoRR Jichang Zhao, Xu Feng, Li Dong, Xiao Liang, Ke Xu