Zhaopeng Tu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
118
Venues
16
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
118 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Social Welfare Function Leaderboard: On the Emergence of LLM Agents as the Welfare Dictator. | Zhengliang Shi, Ruotian Ma, Jen-tse Huang, Xinbei Ma, Xingyu Chen, Mengru Wang, Qu Yang, Yue Wang, Fanghua Ye, Ziyang Chen, Shanyi Wang, Cixing Li, Wenxuan Wang, Zhaopeng Tu, Xiaolong Li, Zhaochun Ren, Liefeng Bo |
| 2026 | ACL | Crossing the Reward Bridge: Expanding Reinforcement Learning with Verifiable Rewards Across Diverse Domains. | Yi Su, Dian Yu, Linfeng Song, Juntao Li, Haitao Mi, Zhaopeng Tu, Min Zhang, Dong Yu |
| 2026 | ACL | Identifying the Achilles' Heel: An Iterative Method for Uncovering Factual Errors in Large Language Models. | Wenxuan Wang, Yuk-Kit Chan, Zixuan Ling, Juluan Shi, Youliang Yuan, Jen-tse Huang, Yifei Zhang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu |
| 2026 | ACL | BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs. | Yue Wang, Ruotian Ma, Xingyu Chen, Zhengliang Shi, Morunliu Yang, Wanshun Chen, Huang Liu, Jiadi Yao, Xin He, Qu Yang, Qingxuan Jiang, Fanghua Ye, Juntao Li, Zhaopeng Tu, Xiaolong Li, Liefeng Bo, Min Zhang |
| 2026 | ACL | Too Good to be Bad: On the Failure of LLMs to Role-Play Villains. | Zihao Yi, Qingxuan Jiang, Ruotian Ma, Xingyu Chen, Qu Yang, Mengru Wang, Fanghua Ye, Ying Shen, Zhaopeng Tu, Xiaolong Li, Liefeng Bo |
| 2026 | ACL | Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models. | Bang Zhang, Ruotian Ma, Qingxuan Jiang, Peisong Wang, Jiaqi Chen, Zheng Xie, Xingyu Chen, Yue Wang, Fanghua Ye, Jian Li, Yifan Yang, Zhaopeng Tu, Xiaolong Li |
| 2025 | ACL | Chain-of-Jailbreak Attack for Image Generation Models via Step by Step Editing. | Wenxuan Wang, Kuiyi Gao, Youliang Yuan, Jen-tse Huang, Qiuzhi Liu, Shuai Wang, Wenxiang Jiao, Zhaopeng Tu |
| 2025 | ACL | Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs. | Wenxuan Wang, Xiaoyuan Liu, Kuiyi Gao, Jen-tse Huang, Youliang Yuan, Pinjia He, Shuai Wang, Zhaopeng Tu |
| 2025 | ACL | DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization. | Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Jing Li, Min Zhang, Zhaopeng Tu |
| 2025 | ACL | Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch. | Yuyang Ding, Xinyu Shi, Xiaobo Liang, Juntao Li, Zhaopeng Tu, Qiaoming Zhu, Min Zhang |
| 2025 | ACL | Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs. | Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan, Jen-tse Huang, Qiuzhi Liu, Pinjia He, Zhaopeng Tu |
| 2025 | ACL | Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls. | Ante Wang, Linfeng Song, Ye Tian, Dian Yu, Haitao Mi, Xiangyu Duan, Zhaopeng Tu, Jinsong Su, Dong Yu |
| 2025 | ACL | Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms. | Mengru Wang, Ziwen Xu, Shengyu Mao, Shumin Deng, Zhaopeng Tu, Huajun Chen, Ningyu Zhang |
| 2025 | ACL | Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training. | Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Jiahao Xu, Tian Liang, Pinjia He, Zhaopeng Tu |
| 2025 | EMNLP | CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards. | Cheng Liu, Yifei Lu, Fanghua Ye, Jian Li, Xingyu Chen, Feiliang Ren, Zhaopeng Tu, Xiaolong Li |
| 2025 | EMNLP | Draft Model Knows When to Stop: Self-Verification Speculative Decoding for Long-Form Generation. | Ziyin Zhang, Jiahao Xu, Tian Liang, Xingyu Chen, Zhiwei He, Rui Wang, Zhaopeng Tu |
| 2025 | ICLR | Competing Large Language Models in Multi-Agent Gaming Environments. | Jen-tse Huang, Eric John Li, Man Ho Lam, Tian Liang, Wenxuan Wang, Youliang Yuan, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Michael R. Lyu |
| 2025 | ICLR | Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models. | Yongxin Guo, Zhenglin Cheng, Xiaoying Tang, Zhaopeng Tu, Tao Lin |
| 2025 | ICLR | RaSA: Rank-Sharing Low-Rank Adaptation. | Zhiwei He, Zhaopeng Tu, Xing Wang, Xingyu Chen, Zhijie Wang, Jiahao Xu, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang |
| 2025 | ICML | Do NOT Think That Much for 2+3=? On the Overthinking of Long Reasoning Models. | Xingyu Chen, Jiahao Xu, Tian Liang, Zhiwei He, Jianhui Pang, Dian Yu, Linfeng Song, Qiuzhi Liu, Mengfei Zhou, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu |
| 2025 | ICML | Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability. | Zicheng Lin, Tian Liang, Jiahao Xu, Qiuzhi Liu, Xing Wang, Ruilin Luo, Chufan Shi, Siheng Li, Yujiu Yang, Zhaopeng Tu |
| 2024 | ACL | Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models. | Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen-tse Huang, Zhaopeng Tu, Michael R. Lyu |
| 2024 | ACL | All Languages Matter: On the Multilingual Safety of LLMs. | Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu |
| 2024 | ACL | Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models. | Zhiwei He, Binglin Zhou, Hongkun Hao, Aiwei Liu, Xing Wang, Zhaopeng Tu, Zhuosheng Zhang, Rui Wang |
| 2024 | ACL | Unsupervised Sign Language Translation and Generation. | Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang |
| 2024 | ACL | Addressing Entity Translation Problem via Translation Difficulty and Context Diversity. | Tian Liang, Xing Wang, Mingming Yang, Yujiu Yang, Shuming Shi, Zhaopeng Tu |
| 2024 | ACL | Benchmarking and Improving Long-Text Translation with Large Language Models. | Longyue Wang, Zefeng Du, Wenxiang Jiao, Chenyang Lyu, Jianhui Pang, Leyang Cui, Kaiqiang Song, Derek F. Wong, Shuming Shi, Zhaopeng Tu |
| 2024 | EACL | Revisiting the Markov Property for Machine Translation. | Cunxiao Du, Hao Zhou, Zhaopeng Tu, Jing Jiang |
| 2024 | ECAI | On the Cultural Gap in Text-to-Image Generation. | Bingshuai Liu, Longyue Wang, Chenyang Lyu, Yong Zhang, Jinsong Su, Shuming Shi, Zhaopeng Tu |
| 2024 | ECAI | Reassessing Non-Autoregressive Neural Machine Translation with a Fine-Grained Error Taxonomy. | Yan Liu, Longyue Wang, Zhaopeng Tu, Deyi Xiong |
| 2024 | EMNLP | Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate. | Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Shuming Shi, Zhaopeng Tu |
| 2024 | ICLR | On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs. | Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu |
| 2024 | ICLR | GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher. | Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, Zhaopeng Tu |
| 2024 | ICML | GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding. | Cunxiao Du, Jing Jiang, Yuanchen Xu, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You |
| 2024 | NAACL | Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model. | Zhiwei He, Xing Wang, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang, Shuming Shi, Zhaopeng Tu |
| 2023 | ACL | A Survey on Zero Pronoun Translation. | Longyue Wang, Siyou Liu, Mingzhou Xu, Linfeng Song, Shuming Shi, Zhaopeng Tu |
| 2023 | ACL | Revisiting Non-Autoregressive Translation at Scale. | Zhihao Wang, Longyue Wang, Jinsong Su, Junfeng Yao, Zhaopeng Tu |
| 2023 | EACL | Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation. | Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu |
| 2023 | EMNLP | ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback. | Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang, Zhiwei He, Tian Liang, Xing Wang, Shuming Shi, Zhaopeng Tu |
| 2023 | EMNLP | Document-Level Machine Translation with Large Language Models. | Longyue Wang, Chenyang Lyu, Tianbo Ji, Zhirui Zhang, Dian Yu, Shuming Shi, Zhaopeng Tu |
| 2023 | EMNLP | Cross-modality Data Augmentation for End-to-End Sign Language Translation. | Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Hui Xiong |
| 2023 | ICASSP | Towards a Unified Training for Levenshtein Transformer. | Kangjie Zheng, Longyue Wang, Zhihao Wang, Binqi Chen, Ming Zhang, Zhaopeng Tu |
| 2022 | ACL | Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Shuming Shi, Dacheng Tao, Zhaopeng Tu |
| 2022 | ACL | Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation. | Zhiwei He, Xing Wang, Rui Wang, Shuming Shi, Zhaopeng Tu |
| 2022 | ACL | Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. | Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu |
| 2022 | COLING | ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation. | Cunxiao Du, Zhaopeng Tu, Longyue Wang, Jing Jiang |
| 2022 | EMNLP | Adapters for Enhanced Modeling of Multilingual Knowledge and Text. | Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, Mrinmaya Sachan |
| 2022 | EMNLP | A Template-based Method for Constrained Neural Machine Translation. | Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, Yang Liu |
| 2022 | EMNLP | GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation. | Mingzhou Xu, Longyue Wang, Derek F. Wong, Hongye Liu, Linfeng Song, Lidia S. Chao, Shuming Shi, Zhaopeng Tu |
| 2021 | ACL | Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu |
| 2021 | ACL | Progressive Multi-Granularity Training for Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu |
| 2021 | ACL | Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. | Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King |
| 2021 | ACL | On the Copying Behaviors of Pre-Training for Neural Machine Translation. | Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu |
| 2021 | ACL | On the Language Coverage Bias for Neural Machine Translation. | Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun, Yang Liu |
| 2021 | EMNLP | On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. | Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu |
| 2021 | EMNLP | RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging. | Jie Hao, Linfeng Song, Liwei Wang, Kun Xu, Zhaopeng Tu, Dong Yu |
| 2021 | ICLR | Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. | Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu |
| 2021 | ICLR | Understanding and Improving Lexical Choice in Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu |
| 2021 | ICML | Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation. | Cunxiao Du, Zhaopeng Tu, Jing Jiang |
| 2021 | NAACL | Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. | Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang |
| 2020 | AAAI | Neuron Interaction Based Representation Composition for Neural Machine Translation. | Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu |
| 2020 | AAAI | Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. | Yong Wang, Longyue Wang, Shuming Shi, Victor O. K. Li, Zhaopeng Tu |
| 2020 | ACL | How Does Selective Mechanism Improve Self-Attention Networks? | Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu |
| 2020 | ACL | On the Inference Calibration of Neural Machine Translation. | Shuo Wang, Zhaopeng Tu, Shuming Shi, Yang Liu |
| 2020 | CIKM | VN Network: Embedding Newly Emerging Entities with Virtual Neighbors. | Yongquan He, Zihan Wang, Peng Zhang, Zhaopeng Tu, Zhaochun Ren |
| 2020 | COLING | Context-Aware Cross-Attention for Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu |
| 2020 | COLING | EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation. | Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu, Zhumin Chen |
| 2020 | COLING | Rethinking the Value of Transformer Components. | Wenxuan Wang, Zhaopeng Tu |
| 2020 | COLING | Emotion Classification by Jointly Learning to Lexiconize and Classify. | Deyu Zhou, Shuangzhi Wu, Qing Wang, Jun Xie, Zhaopeng Tu, Mu Li |
| 2020 | EMNLP | Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. | Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu |
| 2020 | EMNLP | On the Sparsity of Neural Machine Translation Models. | Yong Wang, Longyue Wang, Victor O. K. Li, Zhaopeng Tu |
| 2020 | EMNLP | On the Sub-Layer Functionalities of Transformer Decoder. | Yilin Yang, Longyue Wang, Shuming Shi, Prasad Tadepalli, Stefan Lee, Zhaopeng Tu |
| 2020 | IJCAI | Auxiliary Template-Enhanced Generative Compatibility Modeling. | Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma |
| 2020 | SIGIR | DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation. | Chuan Meng, Pengjie Ren, Zhumin Chen, Weiwei Sun, Zhaochun Ren, Zhaopeng Tu, Maarten de Rijke |
| 2019 | AAAI | Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. | Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang |
| 2019 | AAAI | Neural Machine Translation with Adequacy-Oriented Learning. | Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang |
| 2019 | AAAI | Context-Aware Self-Attention Networks. | Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu |
| 2019 | ACL | Exploiting Sentential Context for Neural Machine Translation. | Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi |
| 2019 | ACL | Assessing the Ability of Self-Attention Networks to Learn Word Order. | Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu |
| 2019 | EMNLP | Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework. | Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Shuming Shi |
| 2019 | EMNLP | Multi-Granularity Self-Attention for Neural Machine Translation. | Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu |
| 2019 | EMNLP | Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons. | Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu |
| 2019 | EMNLP | Towards Understanding Neural Machine Translation with Word Importance. | Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi |
| 2019 | EMNLP | One Model to Learn Both: Zero Pronoun Prediction and Translation. | Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi |
| 2019 | EMNLP | Self-Attention with Structural Position Representations. | Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi |
| 2019 | EMNLP | Dynamic Past and Future for Neural Machine Translation. | Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, Xin-Yu Dai, Jiajun Chen |
| 2019 | NAACL | Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. | Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, Shuming Shi |
| 2019 | NAACL | Modeling Recurrence for Transformer. | Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, Zhaopeng Tu |
| 2019 | NAACL | Information Aggregation for Multi-Head Attention with Routing-by-Agreement. | Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu |
| 2019 | NAACL | Convolutional Self-Attention Networks. | Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu |
| 2018 | AAAI | Translating Pro-Drop Languages With Reconstruction Models. | Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu |
| 2018 | ACL | Towards Robust Neural Machine Translation. | Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu |
| 2018 | EMNLP | Exploiting Deep Representations for Neural Machine Translation. | Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang |
| 2018 | EMNLP | Multi-Head Attention with Disagreement Regularization. | Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, Tong Zhang |
| 2018 | EMNLP | Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism. | Longyue Wang, Zhaopeng Tu, Andy Way, Qun Liu |
| 2018 | EMNLP | Modeling Localness for Self-Attention Networks. | Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang |
| 2018 | IJCAI | Neural Machine Translation with Key-Value Memory-Augmented Attention. | Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang |
| 2018 | NAACL | Target Foresight Based Attention for Neural Machine Translation. | Xintong Li, Lemao Liu, Zhaopeng Tu, Shuming Shi, Max Meng |
| 2017 | AAAI | Neural Machine Translation with Reconstruction. | Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li |
| 2017 | AAAI | Neural Machine Translation Advised by Statistical Machine Translation. | Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang |
| 2017 | ACL | Modeling Source Syntax for Neural Machine Translation. | Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu, Min Zhang, Guodong Zhou |
| 2017 | ACL | Chunk-Based Bi-Scale Decoder for Neural Machine Translation. | Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li, Jiajun Chen |
| 2017 | EMNLP | Exploiting Cross-Sentence Context for Neural Machine Translation. | Longyue Wang, Zhaopeng Tu, Andy Way, Qun Liu |
| 2017 | EMNLP | Translating Phrases in Neural Machine Translation. | Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang |
| 2017 | IJCNLP | Semantics-Enhanced Task-Oriented Dialogue Translation: A Case Study on Hotel Booking. | Longyue Wang, Jinhua Du, Liangyou Li, Zhaopeng Tu, Andy Way, Qun Liu |
| 2016 | ACL | Modeling Coverage for Neural Machine Translation. | Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li |
| 2016 | ICASSP | Dropped pronoun generation for dialogue machine translation. | Longyue Wang, Xiaojun Zhang, Zhaopeng Tu, Hang Li, Qun Liu |
| 2016 | ICSE | On the "naturalness" of buggy code. | Baishakhi Ray, Vincent J. Hellendoorn, Saheel Godhane, Zhaopeng Tu, Alberto Bacchelli, Premkumar T. Devanbu |
| 2016 | LREC | Automatic Construction of Discourse Corpora for Dialogue Translation. | Longyue Wang, Xiaojun Zhang, Zhaopeng Tu, Andy Way, Qun Liu |
| 2016 | NAACL | A Novel Approach to Dropped Pronoun Translation. | Longyue Wang, Zhaopeng Tu, Xiaojun Zhang, Hang Li, Andy Way, Qun Liu |
| 2015 | ACL | Context-Dependent Translation Selection Using Convolutional Neural Network. | Baotian Hu, Zhaopeng Tu, Zhengdong Lu, Hang Li, Qingcai Chen |
| 2015 | ICSE | CACHECA: A Cache Language Model Based Code Suggestion Tool. | Christine Franks, Zhaopeng Tu, Premkumar T. Devanbu, Vincent J. Hellendoorn |
| 2013 | ACL | A Novel Graph-based Compact Representation of Word Alignment. | Qun Liu, Zhaopeng Tu, Shouxun Lin |
| 2012 | ACL | Head-Driven Hierarchical Phrase-based Translation. | Junhui Li, Zhaopeng Tu, Guodong Zhou, Josef van Genabith |
| 2012 | ACL | Identifying High-Impact Sub-Structures for Convolution Kernels in Document-level Sentiment Classification. | Zhaopeng Tu, Yifan He, Jennifer Foster, Josef van Genabith, Qun Liu, Shouxun Lin |
| 2012 | COLING | Combining Multiple Alignments to Improve Machine Translation. | Zhaopeng Tu, Yang Liu, Yifan He, Josef van Genabith, Qun Liu, Shouxun Lin |
| 2011 | IJCNLP | Extracting Hierarchical Rules from a Weighted Alignment Matrix. | Zhaopeng Tu, Yang Liu, Qun Liu, Shouxun Lin |
| 2010 | COLING | Dependency Forest for Statistical Machine Translation. | Zhaopeng Tu, Yang Liu, Young-Sook Hwang, Qun Liu, Shouxun Lin |