Yizhong Wang - RankMe

107 papers A* 10B 2Journal 54Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges. CoRR Ruomeng Ding, Yifei Pang, He Sun, Yizhong Wang, Zhiwei Steven Wu, Zhun Deng
2025	J	`jnl`	Advanced semantic segmentation of aircraft main components based on transfer learning and data-driven approach. Vis. Comput. Julien Thomas, Boyu Kuang, Yizhong Wang, Stuart Barnes, Karl Jenkins
2025	J	`jnl`	EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees. CoRR Zhiyuan Zeng, Yizhong Wang, Hannaneh Hajishirzi, Pang Wei Koh
2025	—	`conf`	Evaluating Language Models as Synthetic Data Generators. ACL (1) Seungone Kim, Juyoung Suk, Xiang Yue, Vijay Viswanathan, Seongyun Lee, Yizhong Wang, Kiril Gashteovski, Carolin Lawrence, Sean Welleck, Graham Neubig
2025	—	`conf`	Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback. ACL (1) Lester James Validad Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
2025	B	`conf`	Language Models over Large-Scale Knowledge Base: on Capacity, Flexibility and Reasoning for New Facts. COLING Qiyuan He, Yizhong Wang, Jianfei Yu, Wenya Wang
2025	—	`conf`	Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning. ACL (Findings) Shuhe Wang, Guoyin Wang, Yizhong Wang, Jiwei Li, Eduard H. Hovy, Chen Guo
2025	A*	`conf`	Retrieval Head Mechanistically Explains Long-Context Factuality. ICLR Wenhao Wu, Yizhong Wang, Guangxuan Xiao, Hao Peng, Yao Fu
2025	J	`jnl`	SVB: Self-Supervised Real CT Denoising via Similarity-Based Visual Blind-Spot Scheme. IEEE Trans. Instrum. Meas. Yizhong Wang, Shaoyu Wang, Ailong Cai, Kang An, Ningning Liang, Zhizhong Zheng, Lei Li, Bin Yan
2025	—	`conf`	Synthetic Data in the Era of Large Language Models. ACL (5) Vijay Viswanathan, Xiang Yue, Alisa Liu, Yizhong Wang, Graham Neubig
2025	—	`conf`	TurkingBench: A Challenge Benchmark for Web Agents. NAACL (Long Papers) Kevin Xu, Yeganeh Kordi, Tanay Nayak, Adi Asija, Yizhong Wang, Kate Sanders, Adam Byerly, Jingyu Zhang, Benjamin Van Durme, Daniel Khashabi
2024	—	`conf`	3D Reconstruction of Rail Tracks based on Fusion of RGB and Infrared Sensors. ICAC Yizhong Wang, Boyu Kuang, Isidro Durazo, Yifan Zhao
2024	J	`jnl`	A Fiber-Guided Motorized Rotation Laser Scanning Thermography Technique for Impact Damage Crack Inspection in Composites. IEEE Trans. Ind. Electron. Haochen Liu, Lawrence Tinsley, Kailun Deng, Yizhong Wang, Andrew Starr, Zhenmao Chen, Yifan Zhao
2024	J	`jnl`	A weighted two-stage sequence alignment framework to identify motifs from ChIP-exo data. Patterns Yang Li, Yizhong Wang, Cankun Wang, Anjun Ma, Qin Ma, Bingqiang Liu
2024	A*	`conf`	BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models. ICLR Qingqing Cao, Sewon Min, Yizhong Wang, Hannaneh Hajishirzi
2024	J	`jnl`	CEMIG: prediction of the cis-regulatory motif using the de Bruijn graph from ATAC-seq. Briefings Bioinform. Yizhong Wang, Yang Li, Cankun Wang, Chan-Wang Jerry Lio, Qin Ma, Bingqiang Liu
2024	J	`jnl`	Can Language Models Act as Knowledge Bases at Scale? CoRR Qiyuan He, Yizhong Wang, Wenya Wang
2024	J	`jnl`	Enhancer-driven gene regulatory networks inference from single-cell RNA-seq and ATAC-seq data. Briefings Bioinform. Yang Li, Anjun Ma, Yizhong Wang, Qi Guo, Cankun Wang, Hongjun Fu, Bingqiang Liu, Qin Ma
2024	J	`jnl`	Evaluating Language Models as Synthetic Data Generators. CoRR Seungone Kim, Juyoung Suk, Xiang Yue, Vijay Viswanathan, Seongyun Lee, Yizhong Wang, Kiril Gashteovski, Carolin Lawrence, Sean Welleck, Graham Neubig
2024	J	`jnl`	Fine-grained Hallucination Detection and Editing for Language Models. CoRR Abhika Mishra, Akari Asai, Vidhisha Balachandran, Yizhong Wang, Graham Neubig, Yulia Tsvetkov, Hannaneh Hajishirzi
2024	J	`jnl`	HREF: Human Response-Guided Evaluation of Instruction Following in Language Models. CoRR Xinxi Lyu, Yizhong Wang, Hannaneh Hajishirzi, Pradeep Dasigi
2024	J	`jnl`	Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback. CoRR Lester James V. Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
2024	J	`jnl`	Hybrid-Domain Integrative Transformer Iterative Network for Spectral CT Imaging. IEEE Trans. Instrum. Meas. Yizhong Wang, Junru Ren, Ailong Cai, Shaoyu Wang, Ningning Liang, Lei Li, Bin Yan
2024	J	`jnl`	Long Context Alignment with Short Instructions and Synthesized Positions. CoRR Wenhao Wu, Yizhong Wang, Yao Fu, Xiang Yue, Dawei Zhu, Sujian Li
2024	—	`conf`	OLMo: Accelerating the Science of Language Models. ACL (1) Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi
2024	J	`jnl`	OLMo: Accelerating the Science of Language Models. CoRR Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi
2024	J	`jnl`	Prior image-based generative adversarial learning for multi-material decomposition in photon counting computed tomography. Comput. Biol. Medicine Junru Ren, Zhizhong Zheng, Yizhong Wang, Ningning Liang, Shaoyu Wang, Ailong Cai, Lei Li, Bin Yan
2024	J	`jnl`	Retrieval Head Mechanistically Explains Long-Context Factuality. CoRR Wenhao Wu, Yizhong Wang, Guangxuan Xiao, Hao Peng, Yao Fu
2024	A*	`conf`	Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection. ICLR Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi
2024	—	`conf`	Set the Clock: Temporal Alignment of Pretrained Language Models. ACL (Findings) Bowen Zhao, Zander Brumbaugh, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith
2024	J	`jnl`	Set the Clock: Temporal Alignment of Pretrained Language Models. CoRR Bowen Zhao, Zander Brumbaugh, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith
2024	J	`jnl`	Third-Party Language Model Performance Prediction from Instruction. CoRR Rahul Nadkarni, Yizhong Wang, Noah A. Smith
2024	J	`jnl`	Tuning Language Models by Proxy. CoRR Alisa Liu, Xiaochuang Han, Yizhong Wang, Yulia Tsvetkov, Yejin Choi, Noah A. Smith
2024	J	`jnl`	Tur[k]ingBench: A Challenge Benchmark for Web Agents. CoRR Kevin Xu, Yeganeh Kordi, Kate Sanders, Yizhong Wang, Adam Byerly, Jack Zhang, Benjamin Van Durme, Daniel Khashabi
2024	J	`jnl`	TÜLU 3: Pushing Frontiers in Open Language Model Post-Training. CoRR Nathan Lambert, Jacob Morrison, Valentina Pyatkin, Shengyi Huang, Hamish Ivison, Faeze Brahman, Lester James V. Miranda, Alisa Liu, Nouha Dziri, Shane Lyu, Yuling Gu, Saumya Malik, Victoria Graf, Jena D. Hwang, Jiangjiang Yang, Ronan Le Bras, Oyvind Tafjord, Chris Wilhelm, Luca Soldaini, Noah A. Smith, Yizhong Wang, Pradeep Dasigi, Hannaneh Hajishirzi
2024	A*	`conf`	Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback. NeurIPS Hamish Ivison, Yizhong Wang, Jiacheng Liu, Zeqiu Wu, Valentina Pyatkin, Nathan Lambert, Noah A. Smith, Yejin Choi, Hanna Hajishirzi
2024	J	`jnl`	Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback. CoRR Hamish Ivison, Yizhong Wang, Jiacheng Liu, Zeqiu Wu, Valentina Pyatkin, Nathan Lambert, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi
2023	J	`jnl`	BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models. CoRR Qingqing Cao, Sewon Min, Yizhong Wang, Hannaneh Hajishirzi
2023	J	`jnl`	Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2. CoRR Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew E. Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
2023	—	`conf`	HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation. ACL (1) Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters
2023	A*	`conf`	How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. NeurIPS Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
2023	J	`jnl`	How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. CoRR Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
2023	—	`conf`	One Embedder, Any Task: Instruction-Finetuned Text Embeddings. ACL (Findings) Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu
2023	J	`jnl`	Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging. CoRR Joel Jang, Seungone Kim, Bill Yuchen Lin, Yizhong Wang, Jack Hessel, Luke Zettlemoyer, Hannaneh Hajishirzi, Yejin Choi, Prithviraj Ammanabrolu
2023	—	`conf`	Self-Instruct: Aligning Language Models with Self-Generated Instructions. ACL (1) Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi
2023	J	`jnl`	Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection. CoRR Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi
2023	A*	`conf`	TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. ICCV Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith
2023	J	`jnl`	TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. CoRR Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith
2022	J	`jnl`	Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi
2022	J	`jnl`	HINT: Hypernetwork Instruction Tuning for Efficient Zero-Shot Generalisation. CoRR Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters
2022	J	`jnl`	One Embedder, Any Task: Instruction-Finetuned Text Embeddings. CoRR Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu
2022	J	`jnl`	Self-Instruct: Aligning Language Model with Self Generated Instructions. CoRR Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi
2022	A*	`conf`	Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. EMNLP Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen
2021	—	`conf`	A Multi-task Deep Network for video-based Person Re-identification. ICCIR Yizhong Wang, Bing Xu, Xiaoyong Guo, Guowei Yang
2021	A*	`conf`	Automated Lay Language Summarization of Biomedical Scientific Reviews. AAAI Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen
2021	J	`jnl`	MultiModalQA: Complex Question Answering over Text, Tables and Images. CoRR Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant
2021	A*	`conf`	MultiModalQA: complex question answering over text, tables and images. ICLR Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant
2021	—	`conf`	Probing Across Time: What Does RoBERTa Know and When? EMNLP (Findings) Zeyu Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith
2021	J	`jnl`	Probing Across Time: What Does RoBERTa Know and When? CoRR Leo Z. Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith
2021	J	`jnl`	Single Shot Multibox Detector With Deconvolutional Region Magnification Procedure. IEEE Access Yizhong Wang, Penghui Niu, Xiaoyong Guo, Guowei Yang, Jun Chen
2020	J	`jnl`	Automated Lay Language Summarization of Biomedical Scientific Reviews. CoRR Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen
2020	—	`conf`	Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. EMNLP (1) Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi
2020	J	`jnl`	Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. CoRR Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi
2020	J	`jnl`	Generalized Gaussian Multiterminal Source Coding: The Symmetric Case. IEEE Trans. Inf. Theory Jun Chen, Li Xie, Yameng Chang, Jia Wang, Yizhong Wang
2020	—	`conf`	LiveQA: A Question Answering Dataset Over Sports Live. CNCL Qianying Liu, Sicong Jiang, Yizhong Wang, Sujian Li
2020	J	`jnl`	LiveQA: A Question Answering Dataset over Sports Live. CoRR Qianying Liu, Sicong Jiang, Yizhong Wang, Sujian Li
2020	—	`conf`	Multi-Dimensional Spatial Attention Residual U-Net (Msaru-Net) for Low-Dose Lung Ct Image Restoration. ICAIP Zhiwei Feng, Yizhong Wang, Ailong Cai
2020	—	`ed.`	Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, ACL 2020, Online, July 5-10, 2020 ACL (student) Shruti Rijhwani, Jiangming Liu, Yizhong Wang, Rotem Dror
2019	—	`conf`	A Lightweight Trust-Based Security Architecture for RPL in Mobile IoT Networks. CCNC Preetha Thulasiraman, Yizhong Wang
2019	—	`conf`	A Quick Adaptive Migration Algorithm for Virtual Network Function. WISATS (2) Yizhong Wang, Xiaorong Zhu, Xiaohua Qiu
2019	J	`jnl`	Asymptotic Rate-Distortion Analysis of Symmetric Remote Gaussian Source Coding: Centralized Encoding vs. Distributed Encoding. Entropy Yizhong Wang, Li Xie, Siyao Zhou, Mengzhen Wang, Jun Chen
2019	—	`conf`	DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. NAACL-HLT (1) Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2019	J	`jnl`	DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. CoRR Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
2019	—	`conf`	Do NLP Models Know Numbers? Probing Numeracy in Embeddings. EMNLP/IJCNLP (1) Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner
2019	J	`jnl`	Do NLP Models Know Numbers? Probing Numeracy in Embeddings. CoRR Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner
2019	J	`jnl`	Machine Reading Comprehension: a Literature Review. CoRR Xin Zhang, An Yang, Sujian Li, Yizhong Wang
2019	J	`jnl`	Robust Distributed Compression of Symmetrically Correlated Gaussian Sources. IEEE Trans. Commun. Yizhong Wang, Li Xie, Xuan Zhang, Jun Chen
2019	J	`jnl`	融合权重与卷积核删减的SSD网络压缩 (SSD Network Compression Fusing Weight and Filter Pruning). 计算机科学 Jialin Han, Qiqi Wang, Guowei Yang, Jun Chen, Yizhong Wang
2018	—	`conf`	Bag-of-Words as Target for Neural Machine Translation. ACL (2) Shuming Ma, Xu Sun, Yizhong Wang, Junyang Lin
2018	J	`jnl`	Bag-of-Words as Target for Neural Machine Translation. CoRR Shuming Ma, Xu Sun, Yizhong Wang, Junyang Lin
2018	—	`conf`	DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications. QA@ACL Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang
2018	—	`conf`	Exploring functional clinical attributes for macular dystrophy detection. IWISC Rittika Shamsuddin, Yizhong Wang, Balakrishnan Prabhakaran
2018	—	`conf`	Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification. ACL (1) Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang
2018	J	`jnl`	Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification. CoRR Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang
2018	J	`jnl`	Robust Distributed Compression of Symmetrically Correlated Gaussian Sources. CoRR Yizhong Wang, Li Xie, Xuan Zhang, Jun Chen
2018	B	`conf`	Symmetric Generalized Gaussian Multiterminal Source Coding. ISIT Jun Chen, Li Xie, Yameng Chang, Jia Wang, Yizhong Wang
2018	J	`jnl`	Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification. CoRR Yizhong Wang, Sujian Li, Jingfeng Yang, Xu Sun, Houfeng Wang
2018	A*	`conf`	Toward Fast and Accurate Neural Discourse Segmentation. EMNLP Yizhong Wang, Sujian Li, Jingfeng Yang
2018	J	`jnl`	Toward Fast and Accurate Neural Discourse Segmentation. CoRR Yizhong Wang, Sujian Li, Jingfeng Yang
2017	—	`conf`	A Two-Stage Parsing Method for Text-Level Discourse Analysis. ACL (2) Yizhong Wang, Sujian Li, Houfeng Wang
2017	J	`jnl`	DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications. CoRR Wei He, Kai Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang
2017	J	`jnl`	Generalized Gaussian Multiterminal Source Coding: The Symmetric Case. CoRR Jun Chen, Li Xie, Yameng Chang, Jia Wang, Yizhong Wang
2017	—	`conf`	Stiffening of soft robotic actuators - Jamming approaches. RCAR Yonghua Chen, Yunquan Li, Yingtian Li, Yizhong Wang
2017	—	`conf`	Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification. IJCNLP(1) Yizhong Wang, Sujian Li, Jingfeng Yang, Xu Sun, Houfeng Wang
2016	—	`conf`	Towards Non-projective High-Order Dependency Parser. COLING (Demos) Wenjing Fang, Kenny Q. Zhu, Yizhong Wang, Jia Tan
2012	—	`conf`	Study on virtual coordinate measuring machine based on augmented virtuality. VECIMS Yizhong Wang, Xiaodong Guo, Ke Sun, Yonghua Chen
2011	—	`conf`	Modeling of one-direction bendable articulated needle. BMEI Yizhong Wang, Qi Zhao, Ke Sun, Yonghua Chen, Huafang Huang, Da Li
2011	—	`conf`	Study on wireless dynamometer walker system. BMEI Rui Zhang, Da Li, Yizhong Wang, Ming Dong, Baikun Wan
2010	—	`conf`	Shape discrimination test on handheld devices for patient self-test. IHI Abhishek P. Chhetri, Forrest Wen, Yizhong Wang, Kang Zhang
2009	—	`conf`	Accessibility analysis for CMM inspection planning by means of haptic device and STL representation. VECIMS Yizhong Wang, Wenjie Zhang, Yonghua Chen, Dingcheng Liu, Rui Zhang
2009	—	`conf`	Feature recognition of multi-class imaginary movements in brain-computer interface. VECIMS Baikun Wan, Yan'gang Liu, Dong Ming, Hongzhi Qi, Yizhong Wang, Rui Zhang
2009	—	`conf`	Independent Component Automatic Clustering and its application on multi-trails imaginary hand movement related EEG. VECIMS Hongzhi Qi, Yuhuan Zhu, Dong Ming, Baikun Wan, Yizhong Wang, Rui Zhang
2009	—	`conf`	Study on underwater wet arc welding training with haptic device. VECIMS Yizhong Wang, Yonghua Chen, Wenjie Zhang, Dingcheng Liu, Huafang Huang
2009	—	`conf`	Study on wireless data transmission for dynamometer walker system. VECIMS Yizhong Wang, Rui Zhang, Da Li, Yong Hu, Dong Ming, Baikun Wan
2008	—	`conf`	Study on the Fast Matching Location Algorithm Based on Feature Points for Wire Bonding. ISIP Fanzhi Kong, Yizhong Wang
2006	—	`conf`	Accessibility Analysis for CMM Inspection Planning Using Haptic Device. ROBIO Yizhong Wang, Yonghua Chen, Zhongliang Nan, Yong Hu
2006	—	`conf`	Study on Welder Training by Means of Haptic Guidance and Virtual Reality for Arc Welding. ROBIO Yizhong Wang, Yonghua Chen, Zhongliang Nan, Yong Hu