Hao Zhou

254 papers A* 62A 4B 4Misc 1Journal 135Unranked 48
YearRankTypeTitle / Venue / Authors
2026 J jnl
ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer.
Trans. Mach. Learn. Res.
Jinyi Hu, Shengding Hu, Yuxuan Song, Yufei Huang, Mingxuan Wang, Hao Zhou, Zhiyuan Liu, Wei-Ying Ma, Maosong Sun
2026 J jnl
CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation.
CoRR
Weinan Dai, Hanlin Wu, Qiying Yu, Huan-ang Gao, Jiahao Li, Chengquan Jiang, Weiqiang Lou, Yufan Song, Hongli Yu, Jiaze Chen, Wei-Ying Ma, Ya-Qin Zhang, Jingjing Liu, Mingxuan Wang, Xin Liu, Hao Zhou
2026 J jnl
Enhancing Spatial Reasoning in Large Language Models for Metal-Organic Frameworks Structure Prediction.
CoRR
Mianzhi Pan, Jianfei Li, Peishuo Liu, Botian Wang, Yawen Ouyang, Yiming Rong, Hao Zhou, Jianbing Zhang
2026 J jnl
PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement Learning.
CoRR
Yunzhi Shen, Hao Zhou, Xin Huang, Xue Han, Junlan Feng, Shujian Huang
2026 J jnl
Readability-Robust Code Summarization via Meta Curriculum Learning.
CoRR
Wenhao Zeng, Yitian Chai, Hao Zhou, Fandong Meng, Jie Zhou, Xiaodong Gu
2026 J jnl
Spava: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention.
CoRR
Yuxiang Huang, Mingye Li, Xu Han, Chaojun Xiao, Weilin Zhao, Ao Sun, Ziqi Yuan, Hao Zhou, Fandong Meng, Zhiyuan Liu
2026 J jnl
The Missing Half: Unveiling Training-time Implicit Safety Risks Beyond Deployment.
CoRR
Zhexin Zhang, Yida Lu, Junfeng Fang, Junxiao Yang, Shiyao Cui, Hao Zhou, Fandong Meng, Jie Zhou, Hongning Wang, Minlie Huang, Tat-Seng Chua
2025 J jnl
A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers.
CoRR
Chenyang Huang, Hao Zhou, Cameron Jen, Kangjie Zheng, Osmar R. Zaïane, Lili Mou
2025 A* conf
A Periodic Bayesian Flow for Material Generation.
ICLR
Hanlin Wu, Yuxuan Song, Jingjing Gong, Ziyao Cao, Yawen Ouyang, Jianbing Zhang, Hao Zhou, Wei-Ying Ma, Jingjing Liu
2025 J jnl
A Periodic Bayesian Flow for Material Generation.
CoRR
Hanlin Wu, Yuxuan Song, Jingjing Gong, Ziyao Cao, Yawen Ouyang, Jianbing Zhang, Hao Zhou, Wei-Ying Ma, Jingjing Liu
2025 J jnl
AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model.
CoRR
Changze Lv, Jiang Zhou, Siyu Long, Lihao Wang, Jiangtao Feng, Dongyu Xue, Yu Pei, Hao Wang, Zherui Zhang, Yuchen Cai, Zhiqiang Gao, Ziyuan Ma, Jiakai Hu, Chaochen Gao, Jingjing Gong, Yuxuan Song, Shuyi Zhang, Xiaoqing Zheng, Deyi Xiong, Lei Bai, Wanli Ouyang, Ya-Qin Zhang, Wei-Ying Ma, Bowen Zhou, Hao Zhou
2025 — conf
APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs.
ACL (1)
Yuxiang Huang, Mingye Li, Xu Han, Chaojun Xiao, Weilin Zhao, Sun Ao, Hao Zhou, Jie Zhou, Zhiyuan Liu, Maosong Sun
2025 J jnl
APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs.
CoRR
Yuxiang Huang, Mingye Li, Xu Han, Chaojun Xiao, Weilin Zhao, Sun Ao, Hao Zhou, Jie Zhou, Zhiyuan Liu, Maosong Sun
2025 J jnl
Advancing AI for science: From the revolution of tools to the tools for revolution.
AI Open
Bowen Zhou, Ning Ding, Lei Bai, Hao Zhou
2025 J jnl
AlignRAG: An Adaptable Framework for Resolving Misalignments in Retrieval-Aware Reasoning of RAG.
CoRR
Jiaqi Wei, Hao Zhou, Xiang Zhang, Di Zhang, Zijie Qiu, Wei Wei, Jinzhe Li, Wanli Ouyang, Siqi Sun
2025 — conf
Code Doppler Channel Simulation Methods and Performance Evaluation for Satellite Communication Scenarios.
VTC2025-Fall
Hao Zhou, Yiyan Ma, Dan Fei, Haobo Zhang, Bowen Yin, Zishen Zhao, Bo Ai
2025 J jnl
Conan: Progressive Learning to Reason Like a Detective over Multi-Scale Visual Evidence.
CoRR
Kun Ouyang, Yuanxin Liu, Linli Yao, Yishuo Cai, Hao Zhou, Jie Zhou, Fandong Meng, Xu Sun
2025 J jnl
DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
CoRR
Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Tiantian Fan, Gaohong Liu, Lingjun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Weinan Dai, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Mu Qiao, Yonghui Wu, Mingxuan Wang
2025 J jnl
Delay-Doppler Domain Channel Measurements and Modeling in High-Speed Railways.
CoRR
Hao Zhou, Yiyan Ma, Dan Fei, Weirong Liu, Zhengyu Zhang, Ming-Hsuan Yang, Guoyu Ma, Yunlong Lu, Ruisi He, Guoyu Wang, Cheng Li, Zhaohui Song, Bo Ai
2025 A* conf
Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks.
ICML
Keyue Qiu, Yuxuan Song, Jie Yu, Hongbo Ma, Ziyao Cao, Zhilong Zhang, Yushuai Wu, Mingyue Zheng, Hao Zhou, Wei-Ying Ma
2025 J jnl
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles.
CoRR
Jiangjie Chen, Qianyu He, Siyu Yuan, Aili Chen, Zhicheng Cai, Weinan Dai, Hongli Yu, Qiying Yu, Xuefeng Li, Jiaze Chen, Hao Zhou, Mingxuan Wang
2025 J jnl
FLEX: Continuous Agent Evolution via Forward Learning from Experience.
CoRR
Zhicheng Cai, Xinyuan Guo, Yu Pei, Jiangtao Feng, Jiangjie Chen, Ya-Qin Zhang, Wei-Ying Ma, Mingxuan Wang, Hao Zhou
2025 — conf
FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling.
ACL (1)
Weilin Zhao, Tengyu Pan, Xu Han, Yudi Zhang, Sun Ao, Yuxiang Huang, Kaihuo Zhang, Weilun Zhao, Yuxuan Li, Jie Zhou, Hao Zhou, Jianyong Wang, Maosong Sun, Zhiyuan Liu
2025 — conf
Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training.
ACL (Findings)
Zhijun Wang, Jiahuan Li, Hao Zhou, Rongxiang Weng, Jingang Wang, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Shujian Huang
2025 J jnl
Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training.
CoRR
Zhijun Wang, Jiahuan Li, Hao Zhou, Rongxiang Weng, Jingang Wang, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Shujian Huang
2025 J jnl
MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent.
CoRR
Hongli Yu, Tinghong Chen, Jiangtao Feng, Jiangjie Chen, Weinan Dai, Qiying Yu, Ya-Qin Zhang, Wei-Ying Ma, Jingjing Liu, Mingxuan Wang, Hao Zhou
2025 A* conf
MiniPLM: Knowledge Distillation for Pre-training Language Models.
ICLR
Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
2025 A* conf
MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing.
AAAI
Hao Zhou, Zhijun Wang, Shujian Huang, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Weihua Luo, Jiajun Chen
2025 J jnl
MoMa: A Modular Deep Learning Framework for Material Property Prediction.
CoRR
Botian Wang, Yawen Ouyang, Yaohui Li, Yiqun Wang, Haorui Cui, Jianbing Zhang, Xiaonan Wang, Wei-Ying Ma, Hao Zhou
2025 J jnl
Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation.
CoRR
Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar R. Zaïane, Hao Zhou, Lili Mou
2025 A* conf
Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule.
ICML
Keyue Qiu, Yuxuan Song, Zhehuan Fan, Peidong Liu, Zhe Zhang, Mingyue Zheng, Hao Zhou, Wei-Ying Ma
2025 J jnl
Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule.
CoRR
Keyue Qiu, Yuxuan Song, Zhehuan Fan, Peidong Liu, Zhe Zhang, Mingyue Zheng, Hao Zhou, Wei-Ying Ma
2025 J jnl
Protenix-Mini: Efficient Structure Predictor via Compact Architecture, Few-Step Diffusion and Switchable pLM.
CoRR
Chengyue Gong, Xinshi Chen, Yuxuan Zhang, Yuxuan Song, Hao Zhou, Wenzhi Xiao
2025 — conf
PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension.
ACL (1)
Kun Ouyang, Yuanxin Liu, Shicheng Li, Yi Liu, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2025 A conf
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation.
AISTATS
Yiming Wang, Yuxuan Song, Yiqun Wang, Minkai Xu, Rui Wang, Hao Zhou, Wei-Ying Ma
2025 A* conf
SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics.
ICML
Suyuan Zhao, Yizhen Luo, Ganbo Yang, Yan Zhong, Hao Zhou, Zaiqing Nie
2025 J jnl
SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics.
CoRR
Suyuan Zhao, Yizhen Luo, Ganbo Yang, Yan Zhong, Hao Zhou, Zaiqing Nie
2025 J jnl
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference.
CoRR
Yuxuan Song, Zheng Zhang, Cheng Luo, Pengyang Gao, Fan Xia, Hao Luo, Zheng Li, Yuehang Yang, Hongli Yu, Xingwei Qu, Yuwei Fu, Jing Su, Ge Zhang, Wenhao Huang, Mingxuan Wang, Lin Yan, Xiaoying Jia, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Yonghui Wu, Hao Zhou
2025 J jnl
ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation.
CoRR
Yuxuan Song, Zhe Zhang, Yu Pei, Jingjing Gong, Qiying Yu, Zheng Zhang, Mingxuan Wang, Hao Zhou, Jingjing Liu, Wei-Ying Ma
2025 A* conf
Smooth Interpolation for Improved Discrete Graph Generative Models.
ICML
Yuxuan Song, Juntong Shi, Jingjing Gong, Minkai Xu, Stefano Ermon, Hao Zhou, Wei-Ying Ma
2025 A* conf
Steering Protein Family Design through Profile Bayesian Flow.
ICLR
Jingjing Gong, Yu Pei, Siyu Long, Yuxuan Song, Zhe Zhang, Wenhao Huang, Ziyao Cao, Shuyi Zhang, Hao Zhou, Wei-Ying Ma
2025 — conf
Vision-Language Models Can Self-Improve Reasoning via Reflection.
NAACL (Long Papers)
Kanzhi Cheng, Yantao Li, Fangzhi Xu, Jianbing Zhang, Hao Zhou, Yang Liu
2024 — conf
A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers.
EMNLP (Findings)
Chenyang Huang, Hao Zhou, Cameron Jen, Kangjie Zheng, Osmar R. Zaïane, Lili Mou
2024 J jnl
ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer.
CoRR
Jinyi Hu, Shengding Hu, Yuxuan Song, Yufei Huang, Mingxuan Wang, Hao Zhou, Zhiyuan Liu, Wei-Ying Ma, Maosong Sun
2024 J jnl
Decentralized Decoupled Training for Federated Long-Tailed Learning.
Trans. Mach. Learn. Res.
Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2024 J jnl
DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation.
CoRR
Yushuai Wu, Ting Zhang, Hao Zhou, Hainan Wu, Hanwen Sunchu, Lei Hu, Xiaofang Chen, Suyuan Zhao, Gaochao Liu, Chao Sun, Jiahuan Zhang, Yizhen Luo, Peng Liu, Zaiqing Nie
2024 A* conf
ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling.
ICML
Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou
2024 J jnl
Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions.
Trans. Assoc. Comput. Linguistics
Jiahuan Li, Hao Zhou, Shujian Huang, Shanbo Cheng, Jiajun Chen
2024 — conf
Enhancing Byzantine-Resistant Aggregations with Client Embedding.
EMNLP (Findings)
Zhiyuan Zhang, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2024 — conf
Exploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios.
ACL (Short Papers)
Bin Sun, Jianfeng Li, Hao Zhou, Fandong Meng, Kan Li, Jie Zhou
2024 A* conf
How Effectively Do Code Language Models Understand Poor-Readability Code?
ASE
Chao Hu, Yitian Chai, Hao Zhou, Fandong Meng, Jie Zhou, Xiaodong Gu
2024 A* conf
Large Language Models Are Not Robust Multiple Choice Selectors.
ICLR
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
2024 A* conf
Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge.
KDD
Yizhen Luo, Kai Yang, Massimo Hong, Xing Yi Liu, Zikun Nie, Hao Zhou, Zaiqing Nie
2024 J jnl
Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge.
CoRR
Yizhen Luo, Kai Yang, Massimo Hong, Xing Yi Liu, Zikun Nie, Hao Zhou, Zaiqing Nie
2024 J jnl
MiniPLM: Knowledge Distillation for Pre-Training Language Models.
CoRR
Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
2024 J jnl
MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing.
CoRR
Hao Zhou, Zhijun Wang, Shujian Huang, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Weihua Luo, Jiajun Chen
2024 A* conf
Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective.
ICML
Junwei Yang, Kangjie Zheng, Siyu Long, Zaiqing Nie, Ming Zhang, Xinyu Dai, Wei-Ying Ma, Hao Zhou
2024 A* conf
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space.
ICML
Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma
2024 J jnl
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space.
CoRR
Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma
2024 J jnl
Multi-Scale Protein Language Model for Unified Molecular Modeling.
CoRR
Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou
2024 A* conf
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering.
NeurIPS
Yizhen Luo, Zikun Nie, Massimo Hong, Suyuan Zhao, Hao Zhou, Zaiqing Nie
2024 J jnl
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering.
CoRR
Yizhen Luo, Zikun Nie, Massimo Hong, Suyuan Zhao, Hao Zhou, Zaiqing Nie
2024 A* conf
On Prompt-Driven Safeguarding for Large Language Models.
ICML
Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng
2024 J jnl
Prompt-Driven LLM Safeguarding via Directed Representation Optimization.
CoRR
Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng
2024 J jnl
PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension.
CoRR
Kun Ouyang, Yuanxin Liu, Shicheng Li, Yi Liu, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2024 — conf
Revisiting the Markov Property for Machine Translation.
EACL (Findings)
Cunxiao Du, Hao Zhou, Zhaopeng Tu, Jing Jiang
2024 J jnl
Revisiting the Markov Property for Machine Translation.
CoRR
Cunxiao Du, Hao Zhou, Zhaopeng Tu, Jing Jiang
2024 J jnl
Structure-Based Drug Design via 3D Molecular Generative Pre-training and Sampling.
CoRR
Yuwei Yang, Siqi Ouyang, Xueyu Hu, Mingyue Zheng, Hao Zhou, Lei Li
2024 J jnl
Structure-Based Molecule Optimization via Gradient-Guided Bayesian Update.
CoRR
Keyue Qiu, Yuxuan Song, Jie Yu, Hongbo Ma, Ziyao Cao, Zhilong Zhang, Yushuai Wu, Mingyue Zheng, Hao Zhou, Wei-Ying Ma
2024 J jnl
The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning.
CoRR
Yaohui Li, Qifeng Zhou, Haoxing Chen, Jianbing Zhang, Xinyu Dai, Hao Zhou
2024 A* conf
Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs.
ICLR
Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun
2024 J jnl
Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks.
CoRR
Yuxuan Song, Jingjing Gong, Yanru Qu, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma
2024 A* conf
Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks.
ICLR
Yuxuan Song, Jingjing Gong, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma
2024 J jnl
Vision-Language Models Can Self-Improve Reasoning via Reflection.
CoRR
Kanzhi Cheng, Yantao Li, Fangzhi Xu, Jianbing Zhang, Hao Zhou, Yang Liu
2023 A* conf
Accelerating Antimicrobial Peptide Discovery with Latent Structure.
KDD
Danqing Wang, Zeyu Wen, Fei Ye, Lei Li, Hao Zhou
2023 A* conf
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D.
ICML
Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan
2023 J jnl
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D.
CoRR
Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan
2023 — conf
Deep Equilibrium Non-Autoregressive Sequence Learning.
ACL (Findings)
Zaixiang Zheng, Yi Zhou, Hao Zhou
2023 — conf
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias.
ACL (Findings)
Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023 J jnl
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias.
CoRR
Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023 J jnl
Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions.
CoRR
Jiahuan Li, Hao Zhou, Shujian Huang, Shanbo Chen, Jiajun Chen
2023 A* conf
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation.
NeurIPS
Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma
2023 J jnl
Equivariant Flow Matching with Hybrid Probability Transport.
CoRR
Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma
2023 A* conf
Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense.
NeurIPS
Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023 J jnl
HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction.
CoRR
Yijun Wang, Changzhi Sun, Yuanbin Wu, Lei Li, Junchi Yan, Hao Zhou
2023 J jnl
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning.
CoRR
Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023 A* conf
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.
EMNLP
Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023 J jnl
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.
CoRR
Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023 J jnl
Large Language Models Are Not Robust Multiple Choice Selectors.
CoRR
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
2023 J jnl
Learning Harmonic Molecular Representations on Riemannian Manifold.
CoRR
Yiqun Wang, Yuning Shen, Shi Chen, Lihao Wang, Fei Ye, Hao Zhou
2023 A* conf
Multi-Source Probing for Open-Domain Conversational Understanding.
EMNLP
Yuanxi Li, Hao Zhou, Jie Zhou, Minlie Huang
2023 — conf
Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation.
IJCNLP (Findings)
Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar Zaïane, Hao Zhou, Lili Mou
2023 — conf
Non-Autoregressive Document-Level Machine Translation.
EMNLP (Findings)
Guangsheng Bao, Zhiyang Teng, Hao Zhou, Jianhao Yan, Yue Zhang
2023 J jnl
On Pre-trained Language Models for Antibody.
CoRR
Danqing Wang, Fei Ye, Hao Zhou
2023 A* conf
On Pre-training Language Model for Antibody.
ICLR
Danqing Wang, Fei Ye, Hao Zhou
2023 J jnl
RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge.
CoRR
Yi Liu, Lianzhe Huang, Shicheng Li, Sishuo Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023 J jnl
Re
CoRR
Jiaxin Wen, Hao Zhou, Minlie Huang
2023 J jnl
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation.
CoRR
Yiming Wang, Yuxuan Song, Minkai Xu, Rui Wang, Hao Zhou, Weiying Ma
2023 A* conf
Re³Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training.
EMNLP
Jiaxin Wen, Hao Zhou, Jian Guan, Jie Zhou, Minlie Huang
2023 J jnl
Towards Codable Text Watermarking for Large Language Models.
CoRR
Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun
2022 J jnl
Accelerating Antimicrobial Peptide Discovery with Latent Sequence-Structure Model.
CoRR
Danqing Wang, Zeyu Wen, Fei Ye, Hao Zhou, Lei Li
2022 — conf
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation.
ACL (1)
Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang
2022 J jnl
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation.
CoRR
Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang
2022 — conf
Contextual Representation Learning beyond Masked Language Modeling.
ACL (1)
Zhiyi Fu, Wangchunshu Zhou, Jingjing Xu, Hao Zhou, Lei Li
2022 J jnl
Contextual Representation Learning beyond Masked Language Modeling.
CoRR
Zhiyi Fu, Wangchunshu Zhou, Jingjing Xu, Hao Zhou, Lei Li
2022 A* conf
Directed Acyclic Transformer for Non-Autoregressive Machine Translation.
ICML
Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang
2022 J jnl
Directed Acyclic Transformer for Non-Autoregressive Machine Translation.
CoRR
Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang
2022 — conf
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning.
ACL (Findings)
Jiangjie Chen, Rui Xu, Ziquan Fu, Wei Shi, Zhongqiao Li, Xinbo Zhang, Changzhi Sun, Lei Li, Yanghua Xiao, Hao Zhou
2022 J jnl
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning.
CoRR
Jiangjie Chen, Rui Xu, Ziquan Fu, Wei Shi, Zhongqiao Li, Xinbo Zhang, Changzhi Sun, Lei Li, Yanghua Xiao, Hao Zhou
2022 A* conf
Enhancing Cross-lingual Transfer by Manifold Mixup.
ICLR
Huiyun Yang, Huadong Chen, Hao Zhou, Lei Li
2022 J jnl
Enhancing Cross-lingual Transfer by Manifold Mixup.
CoRR
Huiyun Yang, Huadong Chen, Hao Zhou, Lei Li
2022 A* conf
LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification.
AAAI
Jiangjie Chen, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen, Hao Zhou, Yanghua Xiao, Lei Li
2022 — conf
MTG: A Benchmark Suite for Multilingual Text Generation.
NAACL-HLT (Findings)
Yiran Chen, Zhenqiao Song, Xianze Wu, Danqing Wang, Jingjing Xu, Jiaze Chen, Hao Zhou, Lei Li
2022 J jnl
Manual-Guided Dialogue for Flexible Conversational Agents.
CoRR
Ryuichi Takanobu, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Minlie Huang
2022 A* conf
Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision.
AAAI
Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li
2022 A* conf
On the Learning of Non-Autoregressive Transformers.
ICML
Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang
2022 J jnl
On the Learning of Non-Autoregressive Transformers.
CoRR
Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang
2022 — conf
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark.
ACL (Findings)
Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, Minlie Huang
2022 J jnl
PARAGEN : A Parallel Generation Toolkit.
CoRR
Jiangtao Feng, Yi Zhou, Jun Zhang, Xian Qian, Liwei Wu, Zhexi Zhang, Yanming Liu, Mingxuan Wang, Lei Li, Hao Zhou
2022 J jnl
Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition.
CoRR
Hao Zhou, Man Lan, Yuanbin Wu, Yuefeng Chen, Meirong Ma
2022 A* conf
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models.
EMNLP
Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang
2022 J jnl
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models.
CoRR
Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang
2022 A* conf
Regularized Molecular Conformation Fields.
NeurIPS
Lihao Wang, Yi Zhou, Yiqun Wang, Xiaoqing Zheng, Xuanjing Huang, Hao Zhou
2022 — conf
Rethinking Document-level Neural Machine Translation.
ACL (Findings)
Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, Lei Li
2022 A* conf
Unsupervised Editing for Counterfactual Stories.
AAAI
Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li
2022 A* conf
Zero-Shot 3D Drug Design by Sketching and Generating.
NeurIPS
Siyu Long, Yi Zhou, Xinyu Dai, Hao Zhou
2022 J jnl
Zero-Shot 3D Drug Design by Sketching and Generating.
CoRR
Siyu Long, Yi Zhou, Xinyu Dai, Hao Zhou
2022 — conf
latent-GLAT: Glancing at Latent Variables for Parallel Text Generation.
ACL (1)
Yu Bao, Hao Zhou, Shujian Huang, Dongqi Wang, Lihua Qian, Xinyu Dai, Jiajun Chen, Lei Li
2022 J jnl
latent-GLAT: Glancing at Latent Variables for Parallel Text Generation.
CoRR
Yu Bao, Hao Zhou, Shujian Huang, Dongqi Wang, Lihua Qian, Xinyu Dai, Jiajun Chen, Lei Li
2022 A* conf
switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder.
ICLR
Zhenqiao Song, Hao Zhou, Lihua Qian, Jingjing Xu, Shanbo Cheng, Mingxuan Wang, Lei Li
2021 J jnl
A Survey on Green Deep Learning.
CoRR
Jingjing Xu, Wangchunshu Zhou, Zhiyi Fu, Hao Zhou, Lei Li
2021 A* conf
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization.
AAAI
Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li
2021 — conf
CNewSum: A Large-Scale Summarization Dataset with Human-Annotated Adequacy and Deducibility Level.
NLPCC (1)
Danqing Wang, Jiaze Chen, Xianze Wu, Hao Zhou, Lei Li
2021 J jnl
CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level.
CoRR
Danqing Wang, Jiaze Chen, Xianze Wu, Hao Zhou, Lei Li
2021 J jnl
CPM: A large-scale generative Chinese Pre-trained language model.
AI Open
Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun
2021 A* conf
Consecutive Decoding for Speech-to-text Translation.
AAAI
Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li
2021 — conf
Contrastive Aligned Joint Learning for Multilingual Summarization.
ACL/IJCNLP (Findings)
Danqing Wang, Jiaze Chen, Hao Zhou, Xipeng Qiu, Lei Li
2021 A* conf
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation.
NeurIPS
Zaixiang Zheng, Hao Zhou, Shujian Huang, Jiajun Chen, Jingjing Xu, Lei Li
2021 J jnl
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation.
CoRR
Zaixiang Zheng, Hao Zhou, Shujian Huang, Jiajun Chen, Jingjing Xu, Lei Li
2021 — conf
EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning.
EMNLP (1)
Hao Zhou, Minlie Huang, Yong Liu, Wei Chen, Xiaoyan Zhu
2021 A conf
ENPAR: Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction.
EACL
Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan
2021 J jnl
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training.
CoRR
Hao Zhou, Pei Ke, Zheng Zhang, Yuxian Gu, Yinhe Zheng, Chujie Zheng, Yida Wang, Chen Henry Wu, Hao Sun, Xiaocong Yang, Bosi Wen, Xiaoyan Zhu, Minlie Huang, Jie Tang
2021 — conf
Follow Your Path: A Progressive Method for Knowledge Distillation.
ECML/PKDD (3)
Wenxian Shi, Yuxuan Song, Hao Zhou, Bohan Li, Lei Li
2021 J jnl
Follow Your Path: a Progressive Method for Knowledge Distillation.
CoRR
Wenxian Shi, Yuxuan Song, Hao Zhou, Bohan Li, Lei Li
2021 — conf
Glancing Transformer for Non-Autoregressive Neural Machine Translation.
ACL/IJCNLP (1)
Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li
2021 — conf
Learning Logic Rules for Document-Level Relation Extraction.
EMNLP (1)
Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li
2021 J jnl
Learning Logic Rules for Document-level Relation Extraction.
CoRR
Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li
2021 A* conf
Listen, Understand and Translate: Triple Supervision Decouples End-to-end Speech-to-text Translation.
AAAI
Qianqian Dong, Rong Ye, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li
2021 A* conf
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery.
ICLR
Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li
2021 J jnl
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery.
CoRR
Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li
2021 J jnl
MTG: A Benchmarking Suite for Multilingual Text Generation.
CoRR
Yiran Chen, Zhenqiao Song, Xianze Wu, Danqing Wang, Jingjing Xu, Jiaze Chen, Hao Zhou, Lei Li
2021 J jnl
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision.
CoRR
Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li
2021 J jnl
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark.
CoRR
Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, Minlie Huang
2021 — conf
Probabilistic Graph Reasoning for Natural Proof Generation.
ACL/IJCNLP (Findings)
Changzhi Sun, Xinbo Zhang, Jiangjie Chen, Chun Gan, Yuanbin Wu, Jiaze Chen, Hao Zhou, Lei Li
2021 J jnl
Probabilistic Graph Reasoning for Natural Proof Generation.
CoRR
Changzhi Sun, Xinbo Zhang, Jiangjie Chen, Chun Gan, Yuanbin Wu, Jiaze Chen, Hao Zhou, Lei Li
2021 J jnl
Simulated annealing for optimization of graphs and sequences.
CoRR
Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song
2021 J jnl
Simulated annealing for optimization of graphs and sequences.
Neurocomputing
Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song
2021 — conf
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21.
WMT@EMNLP
Lihua Qian, Yi Zhou, Zaixiang Zheng, Yaoming Zhu, Zehui Lin, Jiangtao Feng, Shanbo Cheng, Lei Li, Mingxuan Wang, Hao Zhou
2021 J jnl
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21.
CoRR
Lihua Qian, Yi Zhou, Zaixiang Zheng, Yaoming Zhu, Zehui Lin, Jiangtao Feng, Shanbo Cheng, Lei Li, Mingxuan Wang, Hao Zhou
2021 A conf
Triangular Bidword Generation for Sponsored Search Auction.
WSDM
Zhenqiao Song, Jiaze Chen, Hao Zhou, Lei Li
2021 J jnl
Triangular Bidword Generation for Sponsored Search Auction.
CoRR
Zhenqiao Song, Jiaze Chen, Hao Zhou, Lei Li
2021 — conf
UniRE: A Unified Label Space for Entity Relation Extraction.
ACL/IJCNLP (1)
Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan
2021 J jnl
UniRE: A Unified Label Space for Entity Relation Extraction.
CoRR
Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan
2021 J jnl
Unsupervised Editing for Counterfactual Stories.
CoRR
Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li
2021 — conf
Vocabulary Learning via Optimal Transport for Neural Machine Translation.
ACL/IJCNLP (1)
Jingjing Xu, Hao Zhou, Chun Gan, Zaixiang Zheng, Lei Li
2020 J jnl
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization.
CoRR
Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li
2020 — conf
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space.
EMNLP (Findings)
Dongyu Ru, Jiangtao Feng, Lin Qiu, Hao Zhou, Mingxuan Wang, Weinan Zhang, Yong Yu, Lei Li
2020 J jnl
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space.
CoRR
Dongyu Ru, Yating Luo, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu
2020 J jnl
Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs.
CoRR
Xunpeng Huang, Hao Zhou, Runxin Xu, Zhe Wang, Lei Li
2020 J jnl
CPM: A Large-scale Generative Chinese Pre-trained Language Model.
CoRR
Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun
2020 J jnl
Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach.
CoRR
Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, Lei Li
2020 A* conf
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation.
ICML
Wenxian Shi, Hao Zhou, Ning Miao, Lei Li
2020 J jnl
Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods.
CoRR
Ning Miao, Yuxuan Song, Hao Zhou, Lei Li
2020 A* conf
Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods.
ACL
Ning Miao, Yuxuan Song, Hao Zhou, Lei Li
2020 J jnl
Generating Fluent Adversarial Examples for Natural Languages.
CoRR
Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li
2020 J jnl
Glancing Transformer for Non-Autoregressive Neural Machine Translation.
CoRR
Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li
2020 A* conf
Importance-Aware Learning for Neural Headline Editing.
AAAI
Qingyang Wu, Lei Li, Hao Zhou, Ying Zeng, Zhou Yu
2020 A conf
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation.
AISTATS
Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li
2020 J jnl
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation.
CoRR
Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li
2020 A* conf
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip.
AAAI
Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu
2020 J jnl
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip.
CoRR
Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu
2020 A* conf
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation.
ACL
Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang, Xiaoyan Zhu
2020 J jnl
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation.
CoRR
Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang, Xiaoyan Zhu
2020 J jnl
LOREN: Logic Enhanced Neural Reasoning for Fact Verification.
CoRR
Jiangjie Chen, Qiaoben Bao, Jiaze Chen, Changzhi Sun, Hao Zhou, Yanghua Xiao, Lei Li
2020 A* conf
Mirror-Generative Neural Machine Translation.
ICLR
Zaixiang Zheng, Hao Zhou, Shujian Huang, Lei Li, Xin-Yu Dai, Jiajun Chen
2020 — conf
On the Sentence Embeddings from Pre-trained Language Models.
EMNLP (1)
Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li
2020 J jnl
On the Sentence Embeddings from Pre-trained Language Models.
CoRR
Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li
2020 — conf
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information.
EMNLP (1)
Zehui Lin, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, Lei Li
2020 J jnl
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information.
CoRR
Zehui Lin, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, Lei Li
2020 A* conf
QuAChIE: Question Answering based Chinese Information Extraction System.
SIGIR
Dongyu Ru, Zhenghui Wang, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu
2020 J jnl
Reciprocal Supervised Learning Improves Neural Machine Translation.
CoRR
Minkai Xu, Mingxuan Wang, Zhouhan Lin, Hao Zhou, Weinan Zhang, Lei Li
2020 J jnl
SDST: Successive Decoding for Speech-to-text Translation.
CoRR
Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li
2020 J jnl
TED: Triple Supervision Decouples End-to-end Speech-to-text Translation.
CoRR
Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li
2020 A* conf
Towards Making the Most of BERT in Neural Machine Translation.
AAAI
Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Weinan Zhang, Yong Yu, Lei Li
2020 A* conf
Unsupervised Paraphrasing by Simulated Annealing.
ACL
Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song
2020 J jnl
VOLT: Improving Vocabularization via Optimal Transport for Machine Translation.
CoRR
Jingjing Xu, Hao Zhou, Chun Gan, Zaixiang Zheng, Lei Li
2020 A* conf
Variational Template Machine for Data-to-Text Generation.
ICLR
Rong Ye, Wenxian Shi, Hao Zhou, Zhongyu Wei, Lei Li
2020 J jnl
Variational Template Machine for Data-to-Text Generation.
CoRR
Rong Ye, Wenxian Shi, Hao Zhou, Zhongyu Wei, Lei Li
2020 — conf
WeChat Neural Machine Translation Systems for WMT20.
WMT@EMNLP
Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou
2020 J jnl
WeChat Neural Machine Translation Systems for WMT20.
CoRR
Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou
2020 — conf
Xiaomingbot: A Multilingual Robot News Reporter.
ACL (demo)
Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yuping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei Li
2020 J jnl
Xiaomingbot: A Multilingual Robot News Reporter.
CoRR
Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yuping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei Li
2019 A* conf
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling.
AAAI
Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li
2019 A* conf
Correct-and-Memorize: Learning to Translate from Interactive Revisions.
IJCAI
Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen
2019 J jnl
Correct-and-Memorize: Learning to Translate from Interactive Revisions.
CoRR
Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen
2019 — conf
Discreteness in Neural Natural Language Processing.
EMNLP/IJCNLP (2)
Lili Mou, Hao Zhou, Lei Li
2019 A* conf
Domain-Constrained Advertising Keyword Generation.
WWW
Hao Zhou, Minlie Huang, Yishun Mao, Changlei Zhu, Peng Shu, Xiaoyan Zhu
2019 J jnl
Domain-Constrained Advertising Keyword Generation.
CoRR
Hao Zhou, Minlie Huang, Yishun Mao, Changlei Zhu, Peng Shu, Xiaoyan Zhu
2019 — conf
Dynamically Fused Graph Network for Multi-hop Reasoning.
ACL (1)
Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu
2019 J jnl
Dynamically Fused Graph Network for Multi-hop Reasoning.
CoRR
Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu
2019 J jnl
Fixing Gaussian Mixture VAEs for Interpretable Text Generation.
CoRR
Wenxian Shi, Hao Zhou, Ning Miao, Shenjian Zhao, Lei Li
2019 — conf
Generating Fluent Adversarial Examples for Natural Languages.
ACL (1)
Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li
2019 — conf
Generating Sentences from Disentangled Syntactic and Semantic Spaces.
ACL (1)
Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-Yu Dai, Jiajun Chen
2019 J jnl
Generating Sentences from Disentangled Syntactic and Semantic Spaces.
CoRR
Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xinyu Dai, Jiajun Chen
2019 A* conf
GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos.
IJCAI
Zhaoyue Sun, Jiaze Chen, Hao Zhou, Deyu Zhou, Lei Li, Mingmin Jiang
2019 — conf
Imitation Learning for Non-Autoregressive Neural Machine Translation.
ACL (1)
Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun
2019 J jnl
Imitation Learning for Non-Autoregressive Neural Machine Translation.
CoRR
Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun
2019 J jnl
Importance-Aware Learning for Neural Headline Editing.
CoRR
Qingyang Wu, Lei Li, Hao Zhou, Ying Zeng, Zhou Yu
2019 A* conf
Kernelized Bayesian Softmax for Text Generation.
NeurIPS
Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li
2019 J jnl
Kernelized Bayesian Softmax for Text Generation.
CoRR
Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li
2019 J jnl
Non-autoregressive Transformer by Position Learning.
CoRR
Yu Bao, Hao Zhou, Jiangtao Feng, Mingxuan Wang, Shujian Huang, Jiajun Chen, Lei Li
2019 B conf
Rethinking Text Attribute Transfer: A Lexical Analysis.
INLG
Yao Fu, Hao Zhou, Jiaze Chen, Lei Li
2019 J jnl
Rethinking Text Attribute Transfer: A Lexical Analysis.
CoRR
Yao Fu, Hao Zhou, Jiaze Chen, Lei Li
2019 — conf
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation.
NAACL-HLT (1)
Hareesh Bahuleyan, Lili Mou, Hao Zhou, Olga Vechtomova
2019 J jnl
Towards Making the Most of BERT in Neural Machine Translation.
CoRR
Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Yong Yu, Weinan Zhang, Lei Li
2019 J jnl
Unsupervised Paraphrasing by Simulated Annealing.
CoRR
Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song
2019 Misc conf
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation.
ICASSP
Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin
2018 A* conf
Augmenting End-to-End Dialogue Systems With Commonsense Knowledge.
AAAI
Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang
2018 A* conf
BRITS: Bidirectional Recurrent Imputation for Time Series.
NeurIPS
Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li
2018 J jnl
BRITS: Bidirectional Recurrent Imputation for Time Series.
CoRR
Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li
2018 J jnl
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling.
CoRR
Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li
2018 A* conf
Commonsense Knowledge Aware Conversation Generation with Graph Attention.
IJCAI
Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu
2018 B conf
Dynamic Oracle for Neural Machine Translation in Decoding Phase.
LREC
Zi-Yi Dou, Hao Zhou, Shujian Huang, Xin-Yu Dai, Jiajun Chen
2018 A* conf
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory.
AAAI
Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu
2018 J jnl
Modeling Past and Future for Neural Machine Translation.
Trans. Assoc. Comput. Linguistics
Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, Zhaopeng Tu
2018 A* conf
On Tree-Based Neural Sentence Modeling.
EMNLP
Haoyue Shi, Hao Zhou, Jiaze Chen, Lei Li
2018 J jnl
On Tree-Based Neural Sentence Modeling.
CoRR
Haoyue Shi, Hao Zhou, Jiaze Chen, Lei Li
2018 J jnl
Probabilistic Natural Language Generation with Wasserstein Autoencoders.
CoRR
Hareesh Bahuleyan, Lili Mou, Kartik Vamaraju, Hao Zhou, Olga Vechtomova
2017 J jnl
A Neural Probabilistic Structured-Prediction Method for Transition-Based Natural Language Processing.
J. Artif. Intell. Res.
Hao Zhou, Yue Zhang, Chuan Cheng, Shujian Huang, Xinyu Dai, Jiajun Chen
2017 — conf
Chunk-Based Bi-Scale Decoder for Neural Machine Translation.
ACL (2)
Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li, Jiajun Chen
2017 J jnl
Chunk-Based Bi-Scale Decoder for Neural Machine Translation.
CoRR
Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li, Jiajun Chen
2017 J jnl
Dynamic Oracle for Neural Machine Translation in Decoding Phase.
CoRR
Zi-Yi Dou, Hao Zhou, Shujian Huang, Xin-Yu Dai, Jiajun Chen
2017 J jnl
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory.
CoRR
Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu
2017 J jnl
Modeling Past and Future for Neural Machine Translation.
CoRR
Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, Zhaopeng Tu
2017 — conf
Overview of the NLPCC 2017 Shared Task: Emotion Generation Challenge.
NLPCC
Minlie Huang, Zuoxian Ye, Hao Zhou
2017 — conf
SG01 at the NTCIR-13 STC-2 Task.
NTCIR
Haizhou Zhao, Yi Du, Hang Li, Qiao Qian, Hao Zhou, Minlie Huang, Jingfang Xu
2017 J jnl
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation.
CoRR
Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin
2017 A* conf
Word-Context Character Embeddings for Chinese Word Segmentation.
EMNLP
Hao Zhou, Zhenting Yu, Yue Zhang, Shujian Huang, Xin-Yu Dai, Jiajun Chen
2016 — conf
A Search-Based Dynamic Reranking Model for Dependency Parsing.
ACL (1)
Hao Zhou, Yue Zhang, Shujian Huang, Junsheng Zhou, Xinyu Dai, Jiajun Chen
2016 B conf
Context-aware Natural Language Generation for Spoken Dialogue Systems.
COLING
Hao Zhou, Minlie Huang, Xiaoyan Zhu
2016 J jnl
Enhancing Shift-Reduce Constituent Parsing with Action N-Gram Model.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Hao Zhou, Shujian Huang, Junsheng Zhou, Yue Zhang, Huadong Chen, Xinyu Dai, Chuan Cheng, Jiajun Chen
2016 B conf
Evaluating a Deterministic Shift-Reduce Neural Parser for Constituent Parsing.
LREC
Hao Zhou, Yue Zhang, Shujian Huang, Xinyu Dai, Jiajun Chen
2015 — conf
A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing.
ACL (1)
Hao Zhou, Yue Zhang, Shujian Huang, Jiajun Chen
2012 — conf
Adapting Conventional Chinese Word Segmenter for Segmenting Micro-blog Text: Combining Rule-based and Statistic-based Approaches.
CIPS-SIGHAN
Ning Xi, Bin Li, Guangchao Tang, Shujian Huang, Yinggong Zhao, Hao Zhou, Xinyu Dai, Jiajun Chen