| 2026 | AAAI | Burst Image Quality Assessment: A New Benchmark and Unified Framework for Multiple Downstream Tasks. | Xiaoye Liang, Lai Jiang, Minglang Qiao, Yichen Guo, Yue Zhang, Xin Deng, Shengxi Li, Yufan Liu, Mai Xu |
| 2026 | AAAI | Dynamic Semantic Tokenization for Time Series via Elastic Sampling on Physics-aware Perception. | Huaizhang Liao, Zhixiong Yang, Jingyuan Xia, Yuheng Sun, Yue Zhang, Shengxi Li, Yongxiang Liu |
| 2026 | AAAI | Schema-Guided Event Reasoning: A Plug-and-Play Event Reasoning Framework Based on Large Language Models. | Yuying Liu, Xuechen Zhao, Yanyi Huang, Ye Wang, Xin Song, Yue Zhang, Haiyan Liu, Bin Zhou |
| 2026 | AAAI | Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model. | Junshu Pan, Wei Shen, Shulin Huang, Qiji Zhou, Yue Zhang |
| 2026 | AAAI | LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection. | Jian Wu, Hang Yu, Bingchang Liu, Wenjie Yang, Peng Di, Jianguo Li, Yue Zhang |
| 2026 | ACL | ReEfBench: Quantifying the Reasoning Efficiency of LLMs. | Zhizhang Fu, Yuancheng Gu, Chenkai Hu, Hanmeng Liu, Yue Zhang |
| 2026 | ACL | Beyond Single-View Detection: A Dual-Space Reasoning Framework for Interpretable Harmful Meme Understanding. | Wenqing Hou, Hongkui Tu, Ye Wang, Yue Zhang, Yuying Liu, Dong Zhu, Liqun Gao, Bin Zhou |
| 2026 | ACL | AutoFigure-Edit: Generating Editable Scientific Illustrations via Reference-Guided Styling. | Zhen Lin, Qiujie Xie, Minjun Zhu, Shichen Li, Qiyao Sun, Enhao Gu, Yiran Ding, Ke Sun, Fang Guo, Panzhong Lu, Zhiyuan Ning, Yixuan Weng, Yue Zhang |
| 2026 | ACL | Breaking Down and Building Up: Mixture of Skill-Based Vision-and-Language Navigation Agents. | Tianyi Ma, Yue Zhang, Zehao Wang, Parisa Kordjamshidi |
| 2026 | ACL | Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection. | Tianyi Niu, Justin Chih-Yao Chen, Genta Indra Winata, Shi-Xiong Zhang, Supriyo Chakraborty, Sambit Sahu, Yue Zhang, Elias Stengel-Eskin, Mohit Bansal |
| 2026 | ACL | AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists. | Junshu Pan, Panzhong Lu, Yixuan Weng, Qiyao Sun, Fang Guo, Zijie Yang, Qiji Zhou, Yue Zhang |
| 2026 | ACL | Query-Aware Graph Attention for Precise Subgraph Retrieval in Knowledge-Augmented Reasoning. | Yuanye Xu, Linyi Guo, Yue Zhang, Fu Ning |
| 2026 | ACL | UNIVID: Unified Vision-Language Model for Video Moderation. | Kejuan Yang, Yizhuo Zhang, Mingyuan Du, Yue Zhang, Dixin Zheng, Kaili Zhao, Yang Xiao, Hanzhong Liang, Kenan Xiao |
| 2026 | ACL | LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models. | Ming Zhang, Yujiong Shen, Jingyi Deng, Yuhui Wang, Huayu Sha, Kexin Tan, Qiyuan Peng, Yue Zhang, Junzhe Wang, Shichun Liu, Yueyuan Huang, Jingqi Tong, Changhao Jiang, Yilong Wu, Zhihao Zhang, Mingqi Wu, Mingxu Chai, Zhiheng Xi, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | DATE | An Environment-Aware Verification Framework for LLM-Generated Robot Control Programs. | ZhanShang Nie, Wenbo Wang, Xuanming Liu, Yue Zhang, Zhendong Chen, Zirui Wang, Kai Huang, Shuai Zhao |
| 2026 | EACL | ELLA: Efficient Lifelong Learning for Adapters in Large Language Models. | Shristi Das Biswas, Yue Zhang, Anwesan Pal, Radhika Bhargava, Kaushik Roy |
| 2026 | EACL | DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning. | Nithin Sivakumaran, Justin Chih-Yao Chen, David Wan, Yue Zhang, Jaehong Yoon, Elias Stengel-Eskin, Mohit Bansal |
| 2026 | EACL | Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction. | Chong Zhang, Yixi Zhao, Yulu Xie, Chenshu Yuan, Yi Tu, Ya Guo, Mingxu Chai, Ziyu Shen, Yue Zhang, Qi Zhang |
| 2025 | AAAI | Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution. | Yuwen Ji, Wenbo Xie, Jiaqi Zhang, Chao Wang, Ning Guo, Lei Shi, Yue Zhang |
| 2025 | AAAI | Exploring Model Editing for LLM-based Aspect-Based Sentiment Classification. | Shichen Li, Zhongqing Wang, Zheyu Zhao, Yue Zhang, Peifeng Li |
| 2025 | AAAI | Partial Point Cloud Registration with Multi-view 2D Image Learning. | Yue Zhang, Yue Wu, Wenping Ma, Maoguo Gong, Hao Li, Biao Hou |
| 2025 | AAAI | Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities. | Yue Zhang, Zhe Chen, Daniel Harabor, Pierre Le Bodic, Peter J. Stuckey |
| 2025 | AAAI | Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization. | Yue Zhang, Liqiang Jing, Vibhav Gogate |
| 2025 | ACL | DocFusion: A Unified Framework for Document Parsing Tasks. | Mingxu Chai, Ziyu Shen, Chong Zhang, Yue Zhang, Xiao Wang, Shihan Dou, Jihua Kang, Jiazheng Zhang, Qi Zhang |
| 2025 | ACL | Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing. | Peiming Guo, Meishan Zhang, Jianling Li, Min Zhang, Yue Zhang |
| 2025 | ACL | DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation. | Wenhao Hu, Jinhao Duan, Chunchen Wei, Li Zhang, Yue Zhang, Kaidi Xu |
| 2025 | ACL | Task Calibration: Calibrating Large Language Models on Inference Tasks. | Yingjie Li, Yun Luo, Xiaotian Xie, Yue Zhang |
| 2025 | ACL | Lost in Literalism: How Supervised Training Shapes Translationese in LLMs. | Yafu Li, Ronghao Zhang, Zhilin Wang, Huajian Zhang, Leyang Cui, Yongjing Yin, Tong Xiao, Yue Zhang |
| 2025 | ACL | PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization. | Yun Luo, Yingjie Li, Xiangkun Hu, Qinglin Qi, Fang Guo, Qipeng Guo, Zheng Zhang, Yue Zhang |
| 2025 | ACL | ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration. | Yunkun Wang, Yue Zhang, Zhen Qin, Chen Zhi, Binhua Li, Fei Huang, Yongbin Li, Shuiguang Deng |
| 2025 | ACL | Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing. | Zhilin Wang, Yafu Li, Jianhao Yan, Yu Cheng, Yue Zhang |
| 2025 | ACL | SConU: Selective Conformal Uncertainty in Large Language Models. | Zhiyuan Wang, Qingni Wang, Yue Zhang, Tianlong Chen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu |
| 2025 | ACL | Keys to Robust Edits: From Theoretical Insights to Practical Advances. | Jianhao Yan, Futing Wang, Yun Luo, Yafu Li, Yue Zhang |
| 2025 | ACL | SR-LLM: Rethinking the Structured Representation in Large Language Model. | Jiahuan Zhang, Tianheng Wang, Ziyi Huang, Yulong Wu, Hanqing Wu, DongbaiChen DongbaiChen, Linfeng Song, Yue Zhang, Guozheng Rao, Kaicheng Yu |
| 2025 | ACL | Reasoning is All You Need for Video Generalization: A Counterfactual Benchmark with Sub-question Evaluation. | Qiji Zhou, Yifan Gong, Guangsheng Bao, Hongjie Qiu, Jinqiang Li, Xiangrong Zhu, Huajian Zhang, Yue Zhang |
| 2025 | ACL | DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process. | Minjun Zhu, Yixuan Weng, Linyi Yang, Yue Zhang |
| 2025 | AusDM | A Parameter-Free Method Tuning for Multi-scale Wildfire Images Retrieval Task. | Yue Zhang |
| 2025 | CCS | Time Tells All: Deanonymization of Blockchain RPC Users with Zero Transaction Fee. | Shan Wang, Ming Yang, Yu Liu, Yue Zhang, Shuaiqing Zhang, Zhen Ling, Jiannong Cao, Xinwen Fu |
| 2025 | CGI | DDVT: Dynamic Dual-Level Vision Transformer Fusion Network for Answer Grounding in Visual Question Answering. | Yue Zhang, Xiangyu Li, Wanshu Fan, Xin Yang, Dongsheng Zhou |
| 2025 | CGI | EDiffNet: An Enhanced DiffusionNet for Non-isometric 3D Shape Correspondence and Matching. | Yue Zhang, Dong Zhao, Dan Zhang, Chenhao Xu |
| 2025 | CHI | InsightBridge: Enhancing Empathizing with Users through Real-Time Information Synthesis and Visual Communication. | Junze Li, Yue Zhang, Chengbo Zheng, Dingdong Liu, Zeyu Huang, Xiaojuan Ma |
| 2025 | CHI | Creative Blends of Visual Concepts. | Zhida Sun, Zhenyao Zhang, Yue Zhang, Min Lu, Dani Lischinski, Daniel Cohen-Or, Hui Huang |
| 2025 | CIKM | Addressing the Distortion of Community Representations in Anomaly Detection on Attributed Networks. | Enbo He, Yitong Hao, Yue Zhang, Guisheng Yin, Lina Yao |
| 2025 | CIKM | Can Large Vision-Language Models Understand Multimodal Sarcasm? | Xinyu Wang, Yue Zhang, Liqiang Jing |
| 2025 | COLING | How Likely Do LLMs with CoT Mimic Human Reasoning? | Guangsheng Bao, Hongbo Zhang, Cunxiang Wang, Linyi Yang, Yue Zhang |
| 2025 | COLING | Dynamics of Instruction Fine-Tuning for Chinese Large Language Models. | Chiyu Song, Zhanchao Zhou, Jianhao Yan, Yuejiao Fei, Zhenzhong Lan, Yue Zhang |
| 2025 | CSCWD | PHG-YOLO: A Lightweight Steel Surface Defect Detection Algorithm based on YOLOv8. | Yue Zhang, Yu Xie, Yanjun Lu |
| 2025 | CSCWD | DAB-LLM: Detection of Anomalies in API Call Behavior Based on Large Language Model. | Yue Zhang, Fangjiao Zhang, Baihang Liu, Baoxu Liu, Yuling Liu, Qixu Liu |
| 2025 | CVPR | Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector. | Xiao Guo, Xiufeng Song, Yue Zhang, Xiaohong Liu, Xiaoming Liu |
| 2025 | CVPR | Link-based Contrastive Learning for One-Shot Unsupervised Domain Adaptation. | Yue Zhang, Mingyue Bin, Yuyang Zhang, Zhongyuan Wang, Zhen Han, Chao Liang |
| 2025 | EDUCON | Trust in and Adoption of Generative AI in University Education: Opportunities, Challenges, and Implications. | Yue Zhang, Pascal Reusch |
| 2025 | EMNLP | ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval. | Zihan Chen, Lei Shi, Weize Wu, Qiji Zhou, Yue Zhang |
| 2024 | AAAI | LLMEval: A Preliminary Study on How to Evaluate Large Language Models. | Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ACL | Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs. | Naihao Deng, Zhenjie Sun, Ruiqi He, Aman Sikka, Yulong Chen, Lin Ma, Yue Zhang, Rada Mihalcea |
| 2024 | ACL | Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection. | Yingjie Li, Yue Zhang |
| 2024 | ACL | MAGE: Machine-generated Text Detection in the Wild. | Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang |
| 2024 | ACL | Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. | Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang |
| 2024 | ACL | What Have We Achieved on Non-autoregressive Translation? | Yafu Li, Huajian Zhang, Jianhao Yan, Yongjing Yin, Yue Zhang |
| 2024 | ACL | From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications. | Yongqiang Ma, Lizhi Qing, Jiawei Liu, Yangyang Kang, Yue Zhang, Wei Lu, Xiaozhong Liu, Qikai Cheng |
| 2024 | ACL | Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models. | Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang |
| 2024 | ACL | RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models. | Jianhao Yan, Yun Luo, Yue Zhang |
| 2024 | ACL | KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. | Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang |
| 2024 | ACL | Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model. | Runzhe Zhan, Xinyi Yang, Derek F. Wong, Lidia S. Chao, Yue Zhang |
| 2024 | ACL | ZeroStance: Leveraging ChatGPT for Open-Domain Stance Detection via Dataset Generation. | Chenye Zhao, Yingjie Li, Cornelia Caragea, Yue Zhang |
| 2024 | AsiaCCS | RootFree Attacks: Exploiting Mobile Platform's Super Apps From Desktop. | Chao Wang, Yue Zhang, Zhiqiang Lin |
| 2024 | CCS | Collapse Like A House of Cards: Hacking Building Automation System Through Fuzzing. | Yue Zhang, Zhen Ling, Michael Cash, Qiguang Zhang, Christopher Morales-Gonzalez, Qun Zhou Sun, Xinwen Fu |
| 2024 | CCS | When Compiler Optimizations Meet Symbolic Execution: An Empirical Study. | Yue Zhang, Melih Sirlanci, Ruoyu Wang, Zhiqiang Lin |
| 2024 | CCS | RIoTFuzzer: Companion App Assisted Remote Fuzzing for Detecting Vulnerabilities in IoT Devices. | Kaizheng Liu, Ming Yang, Zhen Ling, Yue Zhang, Chongqing Lei, Junzhou Luo, Xinwen Fu |
| 2024 | CIKM | TESSM: Tree-based Selective State Space Models for Efficient Join Order Selection Learning. | Yaohui Chu, Yizhe Liu, Yue Zhang, Xuan Hou, Longfei Yu, Zhaohui Peng |
| 2024 | CogSci | Understanding the impact of early adverse experiences on computational models of neurocognitive processes in adolescents. | Yue Zhang, Felicia A. Hardi, Alexander Weigard, Maria K. Scavnicky, Colter Mitchell, Luke W. Hyde, Christopher S. Monk |
| 2024 | COLING | Which Sense Dominates Multisensory Semantic Understanding? A Brain Decoding Study. | Dandan Huang, Lu Cao, Zhenting Li, Yue Zhang |
| 2024 | COLING | Intent-Aware and Hate-Mitigating Counterspeech Generation via Dual-Discriminator Guided LLMs. | Haiyang Wang, Zhiliang Tian, Xin Song, Yue Zhang, Yuchen Pan, Hongkui Tu, Minlie Huang, Bin Zhou |
| 2024 | COLING | DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. | Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang |
| 2024 | CSCWD | CRED: A Corneal Reflection and Environment Dataset. | Mengqi Du, Yue Zhang, Jianhua Zhang, Honghai Liu |
| 2024 | DAC | Older and Wiser: The Marriage of Device Aging and Intellectual Property Protection of DNNs. | Ning Lin, Shaocong Wang, Yue Zhang, Yangu He, Kwunhang Wong, Arindam Basu, Dashan Shang, Xiaoming Chen, Zhongrui Wang |
| 2024 | DAC | FRM-CIM: Full-Digital Recursive MAC Computing in Memory System Based on MRAM for Neural Network Applications. | Jinkai Wang, Zekun Wang, Bojun Zhang, Zhengkun Gu, Youxiang Chen, Weisheng Zhao, Yue Zhang |
| 2024 | DASFAA | Distributed Meta-learning for Large-Scale Multi-institution Credit Default Risk Prediction. | Yue Zhang, Xinxing Yang, Feng Zhu, Longfei Li, Linbo Jiang, Jun Zhou |
| 2024 | EACL | NavHint: Vision and Language Navigation Agent with a Hint Generator. | Yue Zhang, Quan Guo, Parisa Kordjamshidi |
| 2024 | ECCV | Common Sense Reasoning for Deepfake Detection. | Yue Zhang, Ben Colman, Xiao Guo, Ali Shahriyari, Gaurav Bharaj |
| 2024 | ECIR | CLEF 2024 SimpleText Track - Improving Access to Scientific Texts for Everyone. | Liana Ermakova, Eric SanJuan, Stphane Huet, Hosein Azarbonyad, Giorgio Maria Di Nunzio, Federica Vezzani, Jennifer D'Souza, Salomon Kabongo, Hamed Babaei Giglou, Yue Zhang, Sren Auer, Jaap Kamps |
| 2024 | EMNLP | FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models. | Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang |
| 2024 | EMNLP | PDF-to-Tree: Parsing PDF Text Blocks into a Tree. | Yue Zhang, Zhihao Zhang, Wenbin Lai, Chong Zhang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | Knowledge-Centric Hallucination Detection. | Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Yue Zhang, Zheng Zhang |
| 2024 | EMNLP | ECON: On the Detection and Resolution of Evidence Conflicts. | Cheng Jiayang, Chunkit Chan, Qianqian Zhuang, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang |
| 2023 | AAAI | GLUECons: A Generic Benchmark for Learning under Constraints. | Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi |
| 2023 | AAAI | Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding. | Hongliang He, Junlei Zhang, Zhenzhong Lan, Yue Zhang |
| 2023 | ACL | UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization. | Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang |
| 2023 | ACL | Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. | Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Xianchao Zhu, Yue Zhang |
| 2023 | ACL | An AMR-based Link Prediction Approach for Document-level Event Argument Extraction. | Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang |
| 2023 | ACL | VLN-Trans: Translator for the Vision and Language Navigation Agent. | Yue Zhang, Parisa Kordjamshidi |
| 2023 | ACL | Opinion Tree Parsing for Aspect-based Sentiment Analysis. | Xiaoyi Bao, Xiaotong Jiang, Zhongqing Wang, Yue Zhang, Guodong Zhou |
| 2023 | ACL | Target-Side Augmentation for Document-Level Machine Translation. | Guangsheng Bao, Zhiyang Teng, Yue Zhang |
| 2023 | ACL | Dual Cache for Long Document Neural Coreference Resolution. | Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang |
| 2023 | ACL | Explicit Syntactic Guidance for Neural Text Generation. | Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi, Yue Zhang |
| 2023 | ACL | Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis. | Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster |
| 2023 | ACL | Learning to Generalize for Cross-domain QA. | Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang |
| 2023 | ACL | Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations. | Dongyu Ru, Lin Qiu, Xipeng Qiu, Yue Zhang, Zheng Zhang |
| 2023 | ACL | Exploiting Abstract Meaning Representation for Open-Domain Question Answering. | Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang |
| 2023 | ACL | RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering. | Cunxiang Wang, Haofei Yu, Yue Zhang |
| 2023 | ACL | Measuring Consistency in Text-based Financial Forecasting Models. | Linyi Yang, Yingpeng Ma, Yue Zhang |
| 2023 | ACL | GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. | Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang |
| 2023 | ACL | Consistency Regularization Training for Compositional Generalization. | Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang |
| 2023 | ACL | Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. | Yue Zhang, Hongliang Fei, Ping Li |
| 2023 | ACL | NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts. | Yue Zhang, Bo Zhang, Haochen Jiang, Zhenghua Li, Chen Li, Fei Huang, Min Zhang |
| 2023 | ACML | A Simple and General Binarization Method for Image Restoration Neural Networks. | Mengxue Wang, Yue Zhang, Xiaodong Zhang, Run Min |
| 2023 | APWEB | LAF: A Local Depth Autoregressive Framework for Cardinality Estimation of Multi-attribute Queries. | Qianwen Cheng, Hao Li, Dawei Wang, Yue Zhang, Zhaohui Peng |
| 2023 | CCS | Uncovering and Exploiting Hidden APIs in Mobile Super Apps. | Chao Wang, Yue Zhang, Zhiqiang Lin |
| 2023 | CCS | Don't Leak Your Keys: Understanding, Measuring, and Exploiting the AppSecret Leaks in Mini-Programs. | Yue Zhang, Yuqing Yang, Zhiqiang Lin |
| 2023 | CGI | The Chemical Engine Algorithm and Realization Based on Unreal Engine-4. | Xu Lu, Shuo Xiong, Tao Wu, Ke Zhang, Yue Zhang, Yachang Wang, Qilong Kou |
| 2023 | CVPR | Temporal Consistent Automatic Video Colorization via Semantic Correspondence. | Yu Zhang, Siqi Chen, Mingdao Wang, Xianlin Zhang, Chuang Zhu, Yue Zhang, Xueming Li |
| 2023 | DATE | TAM: A Computing in Memory based on Tandem Array within STT-MRAM for Energy-Efficient Analog MAC Operation. | Jinkai Wang, Zhengkun Gu, Hongyu Wang, Zuolei Hao, Bojun Zhang, Weisheng Zhao, Yue Zhang |
| 2023 | EMNLP | End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions. | Libo Qin, Wenbo Pan, Qiguang Chen, Lizi Liao, Zhou Yu, Yue Zhang, Wanxiang Che, Min Li |
| 2023 | EMNLP | RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation. | Yue Zhang, Leyang Cui, Enbo Zhao, Wei Bi, Shuming Shi |
| 2023 | EMNLP | Non-autoregressive Text Editing with Copy-aware Latent Alignments. | Yu Zhang, Yue Zhang, Leyang Cui, Guohong Fu |
| 2023 | EMNLP | GEMINI: Controlling The Sentence-Level Summary Style in Abstractive Text Summarization. | Guangsheng Bao, Zebin Ou, Yue Zhang |
| 2023 | EMNLP | Non-Autoregressive Document-Level Machine Translation. | Guangsheng Bao, Zhiyang Teng, Hao Zhou, Jianhao Yan, Yue Zhang |
| 2023 | EMNLP | StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding. | Cheng Jiayang, Lin Qiu, Tsz Ho Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang |
| 2023 | EMNLP | Memory-Based Invariance Learning for Out-of-Domain Text Classification. | Chen Jia, Yue Zhang |
| 2022 | AAAI | NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. | Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth |
| 2022 | AAAI | DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning. | Xianyuan Zhan, Haoran Xu, Yue Zhang, Xiangyu Zhu, Honglei Yin, Yu Zheng |
| 2022 | ACL | Graph Pre-training for AMR Parsing and Generation. | Xuefeng Bai, Yulong Chen, Yue Zhang |
| 2022 | ACL | Explicit Object Relation Alignment for Vision and Language Navigation. | Yue Zhang, Parisa Kordjamshidi |
| 2022 | ACL | Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis. | Chenhua Chen, Zhiyang Teng, Zhongqing Wang, Yue Zhang |
| 2022 | ACL | Investigating Non-local Features for Neural Constituency Parsing. | Leyang Cui, Sen Yang, Yue Zhang |
| 2022 | ACL | A Graph Enhanced BERT Model for Event Prediction. | Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin |
| 2022 | ACL | Prompt-Driven Neural Machine Translation. | Yafu Li, Yongjing Yin, Jing Li, Yue Zhang |
| 2022 | ACL | A Rationale-Centric Framework for Human-in-the-loop Machine Learning. | Jinghui Lu, Linyi Yang, Brian MacNamee, Yue Zhang |
| 2022 | ACL | Challenges to Open-Domain Constituency Parsing. | Sen Yang, Leyang Cui, Ruoxi Ning, Di Wu, Yue Zhang |
| 2022 | ACL | Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. | Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li |
| 2022 | AMIA | Lung Cancer Screening Implementation in Primary Care Using an Electronic Health Record-integrated Shared Decision Making Tool and Clinician-facing Prompts. | Polina V. Kukhareva, Douglas Martin, Isaac Warner, Salvador Rodriguez-Loya, Haojia Li, Yue Zhang, Tanner J. Caverly, Guilherme Del Fiol, Kensaku Kawamoto |
| 2022 | APNOMS | DDoS Attack Detection Combining Time Series-based Multi-dimensional Sketch and Machine Learning. | Yanchao Sun, Yuanfeng Han, Yue Zhang, Mingsong Chen, Shui Yu, Yimin Xu |
| 2022 | APNOMS | Machine-learning-assisted Traffic Classification of User Activities at Programmable Data Plane. | Xinyu Zhu, Yue Zhang |
| 2022 | APWEB | AOPSS: A Joint Learning Framework for Aspect-Opinion Pair Extraction as Semantic Segmentation. | Chengwei Wang, Tao Peng, Yue Zhang, Lin Yue, Lu Liu |
| 2022 | APWEB | A Task-Aware Attention-Based Method for Improved Meta-Learning. | Yue Zhang, Xinxing Yang, Feng Zhu, Yalin Zhang, Meng Li, Qitao Shi, Longfei Li, Jun Zhou |
| 2022 | BMVC | Ranking Aggregation with Interactive Feedback for Collaborative Person Re-identification. | Ji Huang, Chao Liang, Yue Zhang, Zhongyuan Wang, Chunjie Zhang |
| 2022 | CCS | When Good Becomes Evil: Tracking Bluetooth Low Energy Devices via Allowlist-based Side Channel and Its Countermeasure. | Yue Zhang, Zhiqiang Lin |
| 2022 | CCS | Cross Miniapp Request Forgery: Root Causes, Attacks, and Vulnerability Detection. | Yuqing Yang, Yue Zhang, Zhiqiang Lin |
| 2022 | CGI | Toward Efficient Image Denoising: A Lightweight Network with Retargeting Supervision Driven Knowledge Distillation. | Beiji Zou, Yue Zhang, Min Wang, Shu Liu |
| 2022 | COLING | Semantic-based Pre-training for Dialogue Understanding. | Xuefeng Bai, Linfeng Song, Yue Zhang |
| 2022 | COLING | LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation. | Yue Zhang, Parisa Kordjamshidi |
| 2022 | COLING | Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect. | Naihao Deng, Yulong Chen, Yue Zhang |
| 2022 | COLING | Mere Contrastive Learning for Cross-Domain Sentiment Analysis. | Yun Luo, Fang Guo, Zihan Liu, Yue Zhang |
| 2022 | COLING | Exploiting Sentiment and Common Sense for Zero-shot Stance Detection. | Yun Luo, Zihan Liu, Yuefeng Shi, Stan Z. Li, Yue Zhang |
| 2022 | COLING | On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART. | Zebin Ou, Meishan Zhang, Yue Zhang |
| 2022 | COLING | Human-in-the-loop Robotic Grasping Using BERT Scene Representation. | Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang, Yanghua Xiao, Yue Zhang |
| 2022 | COLING | Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction. | Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang |
| 2022 | COLING | Speeding up Transformer Decoding via an Attention Refinement Network. | Kaixin Wu, Yue Zhang, Bojie Hu, Tong Zhang |
| 2022 | COLING | FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition. | Linyi Yang, Lifan Yuan, Leyang Cui, Wenyang Gao, Yue Zhang |
| 2022 | COLING | Categorizing Semantic Representations for Neural Machine Translation. | Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang |
| 2022 | ECCV | Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. | Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Prez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marn-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Rttger, Furkan Kinli, Baris zcan, Furkan Kira, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung |
| 2022 | ECCV | Learned Reverse ISP with Soft Supervision. | Beiji Zou, Yue Zhang |
| 2022 | EMNLP | AdaPrompt: Adaptive Model Training for Prompt-based NLP. | Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang |
| 2022 | EMNLP | Cross-domain Generalization for AMR Parsing. | Xuefeng Bai, Sen Yang, Leyang Cui, Linfeng Song, Yue Zhang |
| 2022 | EMNLP | SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser. | Yue Zhang, Bo Zhang, Zhenghua Li, Zuyi Bao, Chen Li, Min Zhang |
| 2022 | EMNLP | Prompt-based Distribution Alignment for Domain Generalization in Text Classification. | Chen Jia, Yue Zhang |
| 2022 | EMNLP | Multi-Granularity Optimization for Non-Autoregressive Translation. | Yafu Li, Leyang Cui, Yongjing Yin, Yue Zhang |
| 2021 | AAAI | Contextualized Rewriting for Text Summarization. | Guangsheng Bao, Yue Zhang |
| 2021 | AAAI | Brain Decoding Using fNIRS. | Lu Cao, Dandan Huang, Yue Zhang, Xiaowei Jiang, Yanan Chen |
| 2021 | AAAI | Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts. | Hanmeng Liu, Leyang Cui, Jian Liu, Yue Zhang |
| 2021 | ACL | Semantic Representation for Dialogue Modeling. | Xuefeng Bai, Yulong Chen, Linfeng Song, Yue Zhang |
| 2021 | ACL | G-Transformer for Document-Level Machine Translation. | Guangsheng Bao, Yue Zhang, Zhiyang Teng, Boxing Chen, Weihua Luo |
| 2021 | ACL | DialogSum: A Real-Life Scenario Dialogue Summarization Dataset. | Yulong Chen, Yang Liu, Liang Chen, Yue Zhang |
| 2021 | ACL | On Commonsense Cues in BERT for Solving Commonsense Tasks. | Leyang Cui, Sijie Cheng, Yu Wu, Yue Zhang |
| 2021 | ACL | Template-Based Named Entity Recognition Using BART. | Leyang Cui, Yu Wu, Jian Liu, Sen Yang, Yue Zhang |
| 2021 | ACL | End-to-End AMR Corefencence Resolution. | Qiankun Fu, Linfeng Song, Wenyu Du, Yue Zhang |
| 2021 | ACL | A Comparison between Pre-training and Large-scale Back-translation for Neural Machine Translation. | Dandan Huang, Kun Wang, Yue Zhang |
| 2021 | ACL | Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter. | Wei Liu, Xiyan Fu, Yue Zhang, Wenming Xiao |
| 2021 | ACL | Generalized Supervised Attention for Text Generation. | Yixian Liu, Liwen Zhang, Xinyu Zhang, Yong Jiang, Yue Zhang, Kewei Tu |
| 2021 | ACL | On Compositional Generalization of Neural Machine Translation. | Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang |
| 2021 | ACL | Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA? | Cunxiang Wang, Pai Liu, Yue Zhang |
| 2021 | ACL | TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. | Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang, Qinzhuo Wu, Zhengyan Li, Chong Zhang, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Shan Qin, Bolin Zhu, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang |
| 2021 | ACL | Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. | Linyi Yang, Jiazheng Li, Padraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong |
| 2021 | ACL | What Did You Refer to? Evaluating Co-References in Dialogue. | Weinan Zhang, Yue Zhang, Hanlin Tang, Zhengyu Zhao, Caihai Zhu, Ting Liu |
| 2021 | AIES | RelEx: A Model-Agnostic Relational Model Explainer. | Yue Zhang, David DeFazio, Arti Ramesh |
| 2021 | CGI | ADD-Net: Attention U-Net with Dilated Skip Connection and Dense Connected Decoder for Retinal Vessel Segmentation. | Dongjin Huang, Hao Guo, Yue Zhang |
| 2021 | CIKM | IMAS++: An Intelligent Medical Analysis System Enhanced with Deep Graph Neural Networks. | Feng Luo, Yue Zhang, Xiaoli Wang |
| 2021 | EMNLP | Entity Relation Extraction as Dependency Parsing in Visually Rich Documents. | Yue Zhang, Bo Zhang, Rui Wang, Junjie Cao, Chen Li, Zuyi Bao |
| 2021 | EMNLP | Solving Aspect Category Sentiment Analysis as a Text Generation Task. | Jian Liu, Zhiyang Teng, Leyang Cui, Hanmeng Liu, Yue Zhang |
| 2021 | EMNLP | Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation. | Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang |
| 2020 | AAAI | Latent Emotion Memory for Multi-Label Emotion Classification. | Hao Fei, Yue Zhang, Yafeng Ren, Donghong Ji |
| 2020 | AAAI | Relation Extraction Exploiting Full Dependency Forests. | Lifeng Jin, Linfeng Song, Yue Zhang, Kun Xu, Wei-Yun Ma, Dong Yu |
| 2020 | AAAI | Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations. | Kai Song, Kun Wang, Heng Yu, Yue Zhang, Zhongqiang Huang, Weihua Luo, Xiangyu Duan, Min Zhang |
| 2020 | AAAI | FAS-Net: Construct Effective Features Adaptively for Multi-Scale Object Detection. | Jiangqiao Yan, Yue Zhang, Zhonghan Chang, Tengfei Zhang, Menglong Yan, Wenhui Diao, Hongqi Wang, Xian Sun |
| 2020 | AAAI | Multi-Point Semantic Representation for Intent Classification. | Jinghan Zhang, Yuxiao Ye, Yue Zhang, Likun Qiu, Bin Fu, Yang Li, Zhenglu Yang, Jian Sun |
| 2020 | AAAI | Evaluating Commonsense in Pre-Trained Language Models. | Xuhui Zhou, Yue Zhang, Leyang Cui, Dandan Huang |
| 2020 | ACL | MuTual: A Dataset for Multi-Turn Dialogue Reasoning. | Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang, Ming Zhou |
| 2020 | ACL | Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences. | Xiangyu Duan, Baijun Ji, Hao Jia, Min Tan, Min Zhang, Boxing Chen, Weihua Luo, Yue Zhang |
| 2020 | ACL | Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. | Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O'Donnell, Yoshua Bengio, Yue Zhang |
| 2020 | ACL | DRTS Parsing with Structure-Aware Encoding and Decoding. | Qiankun Fu, Yue Zhang, Jiangming Liu, Meishan Zhang |
| 2020 | ACL | Multi-Cell Compositional LSTM for NER Domain Adaptation. | Chen Jia, Yue Zhang |
| 2020 | ACL | Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog. | Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang, Ting Liu |
| 2020 | ACL | Structural Information Preserving for Graph-to-Text Generation. | Linfeng Song, Ante Wang, Jinsong Su, Yue Zhang, Kun Xu, Yubin Ge, Dong Yu |
| 2020 | ACL | ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT. | Linfeng Song, Kun Xu, Yue Zhang, Jianshu Chen, Dong Yu |
| 2020 | ACL | Multiscale Collaborative Deep Models for Neural Machine Translation. | Xiangpeng Wei, Heng Yu, Yue Hu, Yue Zhang, Rongxiang Weng, Weihua Luo |
| 2020 | ACL | Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks. | Bo Zhang, Yue Zhang, Rui Wang, Zhenghua Li, Min Zhang |
| 2020 | ACL | AMR Parsing with Latent Structural Information. | Qiji Zhou, Yue Zhang, Donghong Ji, Hao Tang |
| 2020 | COLING | Does Chinese BERT Encode Word Structure? | Yile Wang, Leyang Cui, Yue Zhang |
| 2020 | COLING | Layer-Wise Multi-View Learning for Neural Machine Translation. | Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu |
| 2020 | COLING | Sentiment Forecasting in Dialog. | Zhongqing Wang, Xiujun Zhu, Yue Zhang, Shoushan Li, Guodong Zhou |
| 2020 | COLING | Semantic Role Labeling with Heterogeneous Syntactic Knowledge. | Qingrong Xia, Rui Wang, Zhenghua Li, Yue Zhang, Min Zhang |
| 2020 | COLING | Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets. | Frank Z. Xing, Lorenzo Malandri, Yue Zhang, Erik Cambria |
| 2020 | COLING | Porous Lattice Transformer Encoder for Chinese NER. | Mengge Xue, Bowen Yu, Tingwen Liu, Yue Zhang, Erli Meng, Bin Wang |
| 2020 | COLING | Making the Best Use of Review Summary for Sentiment Analysis. | Sen Yang, Leyang Cui, Jun Xie, Yue Zhang |
| 2020 | ECAI | Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors. | Yue Zhang, Arti Ramesh |
| 2020 | ECAI | Learning Fairness-Aware Relational Structures. | Yue Zhang, Arti Ramesh |
| 2020 | EMNLP | Online Back-Parsing for AMR-to-Text Generation. | Xuefeng Bai, Linfeng Song, Yue Zhang |
| 2020 | EMNLP | Inducing Target-Specific Latent Structures for Aspect Sentiment Classification. | Chenhua Chen, Zhiyang Teng, Yue Zhang |
| 2020 | EMNLP | Enhancing Generalization in Natural Language Inference by Syntax. | Qi He, Han Wang, Yue Zhang |
| 2020 | EMNLP | What Have We Achieved on Text Summarization? | Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang, Jun Xie, Yue Zhang |
| 2020 | EMNLP | Entity Enhanced BERT Pre-training for Chinese NER. | Chen Jia, Yuefeng Shi, Qinrong Yang, Yue Zhang |
| 2019 | AAAI | Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks. | Shuailong Liang, Olivia Nicol, Yue Zhang |
| 2019 | AAAI | A Neural Network Approach to Verb Phrase Ellipsis Resolution. | Weinan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu |
| 2019 | ACL | Cross-Domain NER using Cross-Domain Language Modeling. | Chen Jia, Liang Xiao, Yue Zhang |
| 2019 | ACL | Open Domain Event Extraction Using Neural Latent Variable Models. | Xiao Liu, Heyan Huang, Yue Zhang |
| 2019 | ACL | Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation. | Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao |
| 2019 | ACL | Leveraging Local and Global Patterns for Self-Attention Networks. | Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang, Lidia S. Chao |
| 2019 | ACL | Latent Variable Sentiment Grammar. | Liwen Zhang, Kewei Tu, Yue Zhang |
| 2019 | ACL | Tree Communication Models for Sentiment Analysis. | Yuan Zhang, Yue Zhang |
| 2019 | CoNLL | SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. | Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, Min Zhang |
| 2019 | ECIR | Domain Adaptive Neural Sentence Compression by Tree Cutting. | Litton J. Kurisinkel, Yue Zhang, Vasudeva Varma |
| 2019 | EMNLP | Hierarchically-Refined Label Attention Network for Sequence Labeling. | Leyang Cui, Yue Zhang |
| 2019 | EMNLP | Contrastive Attention Mechanism for Abstractive Sentence Summarization. | Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang |
| 2018 | AAAI | Multi-Modal Multi-Task Learning for Automatic Dietary Assessment. | Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann |
| 2018 | AAAI | Improved English to Russian Translation by Neural Suffix Prediction. | Kai Song, Yue Zhang, Min Zhang, Weihua Luo |
| 2018 | ACL | A Graph-to-Sequence Model for AMR-to-Text Generation. | Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea |
| 2018 | ACL | A Rank-Based Similarity Metric for Word Embeddings. | Enrico Santus, Hongmin Wang, Emmanuele Chersoni, Yue Zhang |
| 2018 | ACL | NCRF++: An Open-source Neural Sequence Labeling Toolkit. | Jie Yang, Yue Zhang |
| 2018 | ACL | YEDDA: A Lightweight Collaborative Text Span Annotation Tool. | Jie Yang, Yue Zhang, Linwei Li, Xingxuan Li |
| 2018 | ACL | Sentence-State LSTM for Text Representation. | Yue Zhang, Qi Liu, Linfeng Song |
| 2018 | ACL | Chinese NER Using Lattice LSTM. | Yue Zhang, Jie Yang |
| 2018 | COLING | Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction. | Junwen Duan, Yue Zhang, Xiao Ding, Ching-Yun Chang, Ting Liu |
| 2018 | COLING | Two Local Models for Neural Constituent Parsing. | Zhiyang Teng, Yue Zhang |
| 2018 | COLING | Design Challenges and Misconceptions in Neural Sequence Labeling. | Jie Yang, Shuailong Liang, Yue Zhang |
| 2018 | CSCWD | Clustering and Analysis of Household Power Load Based on HMM and Multi-factors. | Hao Fang, Yue Zhang, Min Liu, Weiming Shen |
| 2018 | CVPR | Kernelized Subspace Pooling for Deep Local Descriptors. | Xing Wei, Yue Zhang, Yihong Gong, Nanning Zheng |
| 2018 | DSAA | Fine-Grained Analysis of Cyberbullying Using Weakly-Supervised Topic Models. | Yue Zhang, Arti Ramesh |
| 2018 | ECCV | Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification. | Xing Wei, Yue Zhang, Yihong Gong, Jiawei Zhang, Nanning Zheng |
| 2017 | ACII | Emotion-augmented machine learning: Overview of an emerging domain. | Harald Strmfelt, Yue Zhang, Bjrn W. Schuller |
| 2017 | ACL | AMR-to-text Generation with Synchronous Node Replacement Grammar. | Linfeng Song, Xiaochang Peng, Yue Zhang, Zhiguo Wang, Daniel Gildea |
| 2017 | ACL | Universal Dependencies Parsing for Colloquial Singaporean English. | Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, Jie Yang, Hai Leong Chieu |
| 2017 | ACL | Neural Word Segmentation with Rich Pretraining. | Jie Yang, Yue Zhang, Fei Dong |
| 2017 | CoNLL | Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring. | Fei Dong, Yue Zhang, Jie Yang |
| 2017 | CSCWD | State-of-charge estimation of lithium-ion battery based on an improved Kalman Filter. | Hao Fang, Yue Zhang, Min Liu, Weiming Shen |
| 2017 | DATE | A true random number generator based on parallel STT-MTJs. | Yuanzhuo Qu, Jie Han, Bruce F. Cockburn, Witold Pedrycz, Yue Zhang, Weisheng Zhao |
| 2017 | EACL | Attention Modeling for Targeted Sentiment. | Jiangming Liu, Yue Zhang |
| 2017 | EACL | Transition-Based Deep Input Linearization. | Ratish Puduppully, Yue Zhang, Manish Shrivastava |
| 2016 | AAAI | Joint Word Segmentation, POS-Tagging and Syntactic Chunking. | Chen Lyu, Yue Zhang, Donghong Ji |
| 2016 | AAAI | Dependency Tree Representations of Predicate-Argument Structures. | Likun Qiu, Yue Zhang, Meishan Zhang |
| 2016 | AAAI | Context-Sensitive Twitter Sentiment Classification Using Neural Network. | Yafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji |
| 2016 | AAAI | Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word Embeddings. | Yafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji |
| 2016 | AAAI | Gated Neural Networks for Targeted Sentiment Analysis. | Meishan Zhang, Yue Zhang, Duy-Tin Vo |
| 2016 | ACL | Active Learning for Dependency Parsing with Partial Annotation. | Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang |
| 2016 | ACL | Don't Count, Predict! An Automatic Approach to Learning Sentiment Lexicons for Short Text. | Duy-Tin Vo, Yue Zhang |
| 2016 | ACL | Transition-Based Neural Word Segmentation. | Meishan Zhang, Yue Zhang, Guohong Fu |
| 2016 | ACL | A Search-Based Dynamic Reranking Model for Dependency Parsing. | Hao Zhou, Yue Zhang, Shujian Huang, Junsheng Zhou, Xinyu Dai, Jiajun Chen |
| 2016 | CICLING | Combining Discrete and Neural Features for Sequence Labeling. | Jie Yang, Zhiyang Teng, Meishan Zhang, Yue Zhang |
| 2016 | COLING | Measuring the Information Content of Financial News. | Ching-Yun Chang, Yue Zhang, Zhiyang Teng, Zahn Bozanic, Bin Ke |
| 2016 | COLING | Knowledge-Driven Event Embedding for Stock Prediction. | Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan |
| 2016 | COLING | Deceptive Opinion Spam Detection Using Neural Network. | Yafeng Ren, Yue Zhang |
| 2016 | COLING | A Bilingual Attention Network for Code-switched Emotion Prediction. | Zhongqing Wang, Yue Zhang, Sophia Yat Mei Lee, Shoushan Li, Guodong Zhou |
| 2016 | COLING | Distance Metric Learning for Aspect Phrase Grouping. | Shufeng Xiong, Yue Zhang, Donghong Ji, Yinxia Lou |
| 2016 | COLING | Tweet Sarcasm Detection Using Deep Neural Network. | Meishan Zhang, Yue Zhang, Guohong Fu |
| 2016 | EMNLP | Neural Network for Heterogeneous Annotations. | Hongshen Chen, Yue Zhang, Qun Liu |
| 2016 | EMNLP | Automatic Features for Essay Scoring - An Empirical Study. | Fei Dong, Yue Zhang |
| 2015 | AAAI | Word Segmentation for Chinese Novels. | Likun Qiu, Yue Zhang |
| 2015 | ACII | On rater reliability and agreement based dynamic active learning. | Yue Zhang, Eduardo Coutinho, Bjrn W. Schuller, Zixing Zhang, Michael G. Adam |
| 2015 | ACL | Event-Driven Headline Generation. | Rui Sun, Yue Zhang, Meishan Zhang, Dong-Hong Ji |
| 2015 | ACL | A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing. | Hao Zhou, Yue Zhang, Shujian Huang, Jiajun Chen |
| 2015 | DATE | From device to system: cross-layer design exploration of racetrack memory. | Guangyu Sun, Chao Zhang, Hehe Li, Yue Zhang, Weiqi Zhang, Yizi Gu, Yinan Sun, Jacques-Olivier Klein, Dafine Ravelosona, Yongpan Liu, Weisheng Zhao, Huazhong Yang |
| 2015 | DC | Advancing Materials Science Semantic Metadata via HIVE. | Yue Zhang, Jane Greenberg, Adrian Ogletree, Garritt J. Tucker |
| 2014 | AAAI | Joint Morphological Generation and Syntactic Linearization. | Linfeng Song, Yue Zhang, Kai Song, Qun Liu |
| 2014 | ACL | On WordNet Semantic Classes and Dependency Parsing. | Kepa Bengoetxea, Eneko Agirre, Joakim Nivre, Yue Zhang, Koldo Gojenola |
| 2014 | ACL | Tagging The Web: Building A Robust Web Tagger with Neural Network. | Ji Ma, Yue Zhang, Jingbo Zhu |
| 2014 | ACL | Punctuation Processing for Projective Dependency Parsing. | Ji Ma, Yue Zhang, Jingbo Zhu |
| 2014 | ACL | Shift-Reduce CCG Parsing with a Dependency Model. | Wenduan Xu, Stephen Clark, Yue Zhang |
| 2014 | ACL | Character-Level Chinese Dependency Parsing. | Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu |
| 2014 | ACL | Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding. | Yue Zhang, Meishan Zhang, Ting Liu |
| 2014 | ASPDAC | An overview of spin-based integrated circuits. | Wang Kang, Weisheng Zhao, Zhaohao Wang, Jacques-Olivier Klein, Yue Zhang, Djaafar Chabi, Youguang Zhang, Dafine Ravelosona, Claude Chappert |
| 2014 | CICLING | A Semantics Oriented Grammar for Chinese Treebanking. | Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu |
| 2014 | COLING | Feature Embedding for Dependency Parsing. | Wenliang Chen, Yue Zhang, Min Zhang |
| 2014 | COLING | Multi-view Chinese Treebanking. | Likun Qiu, Yue Zhang, Peng Jin, Houfeng Wang |
| 2014 | DATE | Spintronics for low-power computing. | Yue Zhang, Weisheng Zhao, Jacques-Olivier Klein, Wang Kang, Damien Querlioz, Youguang Zhang, Dafine Ravelosona, Claude Chappert |
| 2014 | EACL | Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging. | Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu |
| 2014 | EMNLP | Using Structured Events to Predict Stock Price Movement: An Empirical Investigation. | Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan |
| 2013 | ACL | Learning to Prune: Context-Sensitive Pruning for Syntactic MT. | Wenduan Xu, Yue Zhang, Philip Williams, Philipp Koehn |
| 2013 | ACL | Chinese Parsing Exploiting Characters. | Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu |
| 2013 | ACL | Fast and Accurate Shift-Reduce Constituent Parsing. | Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, Jingbo Zhu |
| 2013 | EMNLP | Semi-Supervised Feature Transformation for Dependency Parsing. | Wenliang Chen, Min Zhang, Yue Zhang |
| 2012 | COLING | Unsupervised Domain Adaptation for Joint Segmentation and POS-Tagging. | Yang Liu, Yue Zhang |
| 2012 | COLING | Analyzing the Effect of Global Learning and Beam-Search on Transition-Based Dependency Parsing. | Yue Zhang, Joakim Nivre |
| 2012 | EACL | Syntax-Based Word Ordering Incorporating a Large-Scale Language Model. | Yue Zhang, Graeme W. Blackwood, Stephen Clark |
| 2011 | ACL | Shift-Reduce CCG Parsing. | Yue Zhang, Stephen Clark |
| 2011 | ACL | Transition-based Dependency Parsing with Rich Non-local Features. | Yue Zhang, Joakim Nivre |
| 2010 | COLING | Chart Pruning for Fast Lexicalised-Grammar Parsing. | Yue Zhang, Byung-Gyu Ahn, Stephen Clark, Curt Van Wyk, James R. Curran, Laura Rimell |
| 2008 | ACL | Joint Word Segmentation and POS Tagging Using a Single Perceptron. | Yue Zhang, Stephen Clark |
| 2008 | ADMA | MPSQAR: Mining Quantitative Association Rules Preserving Semantics. | Chunqiu Zeng, Jie Zuo, Chuan Li, Kaikuo Xu, Shengqiao Ni, Liang Tang, Yue Zhang, Shaojie Qiao |
| 2007 | ACL | Chinese Segmentation with a Word-Based Perceptron Algorithm. | Yue Zhang, Stephen Clark |
| 2006 | CBMS | A Wireless Physiological Multi-parameter Monitoring System Based on Mobile Communication Networks. | Shaosheng Dai, Yue Zhang |
| 2005 | CSCWD | Agent-Based Personal Assistance in Collaborative Design Environments. | Yue Zhang, Hamada H. Ghenniwa, Weiming Shen |
| 2005 | CSCWD | Enhancing intelligent user assistance in collaborative design environments. | Yue Zhang, Hamada H. Ghenniwa, Weiming Shen |