Wenhao Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
104
Venues
20
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
104 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | ReCode: Updating Code API Knowledge with Reinforcement Learning. | Haoze Wu, Yunzhi Yao, Wenhao Yu, Ningyu Zhang |
| 2026 | ACL | Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding. | Wenkai Wang, Xiyun Li, Hongcan Guo, Wenhao Yu, Tianqing Fang, Haitao Mi, Dong Yu, Shengyu Zhang |
| 2026 | ACL | Orthogonal Representation Editing: Decoupling Semantic Entanglement in Batch Knowledge Editing of LLMs. | Wenhao Yu, Zhicong Lu, Bo Lv, Fangyin Ma, Kaiwen Wei, Shihao Yang, Nayu Liu |
| 2026 | ACL | Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection. | Yuwei Zhang, Wenhao Yu, Shangbin Feng, Yifan Zhu, Letian Peng, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang |
| 2026 | EACL | WebRollback: Enhancing Web Agents with Explicit Rollback Mechanisms. | Zhisong Zhang, Tianqing Fang, Kaixin Ma, Wenhao Yu, Hongming Zhang, Haitao Mi, Dong Yu |
| 2026 | WWW | Generative Archetype-Grounded Item Representations for Sequential Recommendation. | Yifan Li, Jiahong Liu, Xinni Zhang, Hao Chen, Yankai Chen, Wenhao Yu, Jianting Chen, Irwin King |
| 2025 | AAAI | PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose Manipulation. | Dong Feng, Ping Guo, Encheng Peng, Mingmin Zhu, Wenhao Yu, Peng Wang |
| 2025 | AAAI | GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation. | Shengyin Sun, Wenhao Yu, Yuxiang Ren, Weitao Du, Liwei Liu, Xuecang Zhang, Ying Hu, Chen Ma |
| 2025 | ACL | OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization. | Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Hongming Zhang, Tianqing Fang, Zhenzhong Lan, Dong Yu |
| 2025 | EMNLP | WebEvolver: Enhancing Web Agent Self-Improvement with Co-evolving World Model. | Tianqing Fang, Hongming Zhang, Zhisong Zhang, Kaixin Ma, Wenhao Yu, Haitao Mi, Dong Yu |
| 2025 | EMNLP | Retrieval-augmented GUI Agents with Generative Guidelines. | Ran Xu, Kaixin Ma, Wenhao Yu, Hongming Zhang, Joyce C. Ho, Carl Yang, Dong Yu |
| 2025 | ICDAR | ICDAR 2025 Competition on Understanding Chinese College Entrance Exam Papers. | Wenhao Yu, Tianrui Zong, He Zhang, Lin Yang, He Yang, Guanhao Wu, Ruohua Xu, Qinqin Yan, Liangcai Gao |
| 2025 | ICLR | DSBench: How Far Are Data Science Agents from Becoming Data Science Experts? | Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu |
| 2025 | ICLR | Vision Language Models are In-Context Value Learners. | Yecheng Jason Ma, Joey Hejna, Chuyuan Fu, Dhruv Shah, Jacky Liang, Zhuo Xu, Sean Kirmani, Peng Xu, Danny Driess, Ted Xiao, Osbert Bastani, Dinesh Jayaraman, Wenhao Yu, Tingnan Zhang, Dorsa Sadigh, Fei Xia |
| 2025 | ICLR | RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph. | Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu |
| 2025 | ICLR | LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory. | Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu |
| 2025 | ICLR | BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. | Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, James Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, et al. |
| 2025 | IROS | QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment. | Yuyou Zhang, Yihang Yao, Shiqi Liu, Yaru Niu, Changyi Lin, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao |
| 2025 | ICRA | Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models. | Chen Wang, Fei Xia, Wenhao Yu, Tingnan Zhang, Ruohan Zhang, C. Karen Liu, Li Fei-Fei, Jie Tan, Jacky Liang |
| 2025 | ICRA | Agile Continuous Jumping in Discontinuous Terrains. | Yuxiang Yang, Guanya Shi, Changyi Lin, Xiangyun Meng, Rosario Scalise, Mateo Guaman Castro, Wenhao Yu, Tingnan Zhang, Ding Zhao, Jie Tan, Byron Boots |
| 2025 | KDD | Self-Regularization with Sparse Autoencoders for Controllable LLM-based Classification. | Xuansheng Wu, Wenhao Yu, Xiaoming Zhai, Ninghao Liu |
| 2025 | NAACL | Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots. | Hongming Zhang, Xiaoman Pan, Hongwei Wang, Kaixin Ma, Wenhao Yu, Dong Yu |
| 2025 | SMC | Knowledge-based and Data-driven Fusion for Unsupervised Video Anomaly Detection. | Qinghao Kong, Wanru Xu, Zhenjiang Miao, Ruizhao Zhai, Wenhao Yu |
| 2024 | ACL | WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models. | Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Yong Dai, Hongming Zhang, Zhenzhong Lan, Dong Yu |
| 2024 | ACL | PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning. | Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri |
| 2024 | CoRL | Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination. | Duy Phuong Nguyen, Kai-Chieh Hsu, Wenhao Yu, Jie Tan, Jaime Fernndez Fisac |
| 2024 | CoRL | Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. | Zhuo Xu, Hao-Tien Lewis Chiang, Zipeng Fu, Mithun George Jacob, Tingnan Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman, Dhruv Shah, Fei Xia, Jasmine Hsu, Jonathan Hoech, Pete Florence, Sean Kirmani, Sumeet Singh, Vikas Sindhwani, Carolina Parada, Chelsea Finn, Peng Xu, Sergey Levine, Jie Tan |
| 2024 | EMNLP | Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models. | Wenhao Yu, Hongming Zhang, Xiaoman Pan, Peixin Cao, Kaixin Ma, Jian Li, Hongwei Wang, Dong Yu |
| 2024 | EMNLP | Dense X Retrieval: What Retrieval Granularity Should We Use? | Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Hongming Zhang, Dong Yu |
| 2024 | EMNLP | Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning. | Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang |
| 2024 | ICLR | RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches. | Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao |
| 2024 | ICML | PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. | Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter |
| 2024 | ICPR | ICPR 2024 Competition on Multi-line Mathematical Expressions Recognition. | Tianrui Zong, Lin Yang, Wei Luo, Wenhao Yu, Borui Cai, He Zhang, Fenghong Liu, Qinqin Yan, Liangcai Gao |
| 2024 | ICRA | PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning. | Wenhao Yu, Jie Peng, Quecheng Qiu, Hanyu Wang, Lu Zhang, Jianmin Ji |
| 2024 | IJCNN | An Arc Light Elimination Network Using Polarization and Prior Information. | Wenhao Yu, Lizhe Qi, Hanwen Liang, Yunquan Sun |
| 2024 | IROS | The Design of the Barkour Benchmark for Robot Agility. | Wenhao Yu, Ken Caluwaerts, Atil Iscen, J. Chase Kew, Tingnan Zhang, Daniel Freeman, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, Jos Enrique Chen, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Ofir Nachum, Ken Oslund, Francesco Romano, Fereshteh Sadeghi, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan, Kuang-Huei Lee |
| 2024 | IROS | LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance. | Wenhao Yu, Jie Peng, Huanyu Yang, Junrui Zhang, Yifan Duan, Jianmin Ji, Yanyong Zhang |
| 2024 | IROS | LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. | Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao |
| 2024 | IROS | Versatile Locomotion Skills for Hexapod Robots. | Tomson Qu, Dichen Li, Avideh Zakhor, Wenhao Yu, Tingnan Zhang |
| 2024 | IROS | CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments. | Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Mohamed Elnoor, Anuj Zore, Brian Ichter, Fei Xia, Jie Tan, Wenhao Yu, Dinesh Manocha |
| 2024 | NAACL | Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations. | Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu |
| 2023 | ACL | APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. | Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren |
| 2023 | ACL | A Survey of Deep Learning for Mathematical Reasoning. | Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang |
| 2023 | ACL | Large Language Models are Built-in Autoregressive Search Engines. | Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang |
| 2023 | CoRL | Language to Rewards for Robotic Skill Synthesis. | Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montserrat Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia |
| 2023 | CoRL | Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. | Joanne Taery Kim, Wenhao Yu, Yash Kothari, Bruce N. Walker, Jie Tan, Greg Turk, Sehoon Ha |
| 2023 | CoRL | SayTap: Language to Quadrupedal Locomotion. | Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada |
| 2023 | CoRL | CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller. | Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots |
| 2023 | EACL | A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. | Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang |
| 2023 | EMNLP | IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. | Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal |
| 2023 | EMNLP | Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. | Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan |
| 2023 | EMNLP | Pre-training Language Models for Comparative Reasoning. | Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang |
| 2023 | EMNLP | Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. | Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang |
| 2023 | HRI | How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling. | Joanne Taery Kim, Wenhao Yu, Jie Tan, Greg Turk, Sehoon Ha |
| 2023 | ICLR | Generate rather than Retrieve: Large Language Models are Strong Context Generators. | Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang |
| 2023 | ICLR | Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. | Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang |
| 2023 | ICML | Constrained Decision Transformer for Offline Safe Reinforcement Learning. | Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao |
| 2023 | ICRA | Versatile Real-Time Motion Synthesis via Kino-Dynamic MPC With Hybrid-Systems DDP. | He Li, Tingnan Zhang, Wenhao Yu, Patrick M. Wensing |
| 2023 | IROS | A Unified Perspective on Multiple Shooting In Differential Dynamic Programming. | He Li, Wenhao Yu, Tingnan Zhang, Patrick M. Wensing |
| 2023 | IROS | Perceptive Hexapod Legged Locomotion for Climbing Joist Environments. | Zixian Zang, Maxime Kawawa-Beaudan, Wenhao Yu, Tingnan Zhang, Avideh Zakhor |
| 2023 | KDD | The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing. | Wenhao Yu, Lingbo Tong, Weijia Shi, Nanyun Peng, Meng Jiang |
| 2023 | WSDM | Knowledge-Augmented Methods for Natural Language Processing. | Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu |
| 2022 | ACL | Dict-BERT: Enhancing Language Model Pre-training with Dictionary. | Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang |
| 2022 | ACL | Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. | Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang |
| 2022 | ACL | KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. | Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng |
| 2022 | ACL | Knowledge-Augmented Methods for Natural Language Processing. | Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu |
| 2022 | CoRL | Learning Semantics-Aware Locomotion Skills from Human Demonstration. | Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots |
| 2022 | EMNLP | Task Compass: Scaling Multi-task Pre-training with Task Prefix. | Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng |
| 2022 | EMNLP | Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. | Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang |
| 2022 | EMNLP | Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. | Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun |
| 2022 | EMNLP | Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. | Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye |
| 2022 | EMNLP | A Unified Encoder-Decoder Framework with Entity Memory. | Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang |
| 2022 | ICML | Learning from Counterfactual Links for Link Prediction. | Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang |
| 2022 | IJCNN | Density and Context Aware Network with Hierarchical Head for Traffic Scene Detection. | Zuhao Ge, Wenhao Yu, Xian Liu, Lizhe Qi, Yunquan Sun |
| 2022 | IROS | Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions. | Alejandro Escontrela, Xue Bin Peng, Wenhao Yu, Tingnan Zhang, Atil Iscen, Ken Goldberg, Pieter Abbeel |
| 2022 | IROS | PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations. | Kuang-Huei Lee, Ofir Nachum, Tingnan Zhang, Sergio Guadarrama, Jie Tan, Wenhao Yu |
| 2022 | IROS | Zero-Shot Retargeting of Learned Quadruped Locomotion Policies Using Hybrid Kinodynamic Model Predictive Control. | He Li, Wenhao Yu, Tingnan Zhang, Patrick M. Wensing |
| 2022 | IROS | Safe Reinforcement Learning for Legged Locomotion. | Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu |
| 2022 | NAACL | Retrieval-augmented Generation across Heterogeneous Knowledge. | Wenhao Yu |
| 2021 | CIKM | Action Sequence Augmentation for Early Graph-based Anomaly Detection. | Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang |
| 2021 | CoRL | Visual-Locomotion: Learning to Walk on Complex Terrains with Vision. | Wenhao Yu, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu, Erwin Coumans, Sehoon Ha, Jie Tan, Tingnan Zhang |
| 2021 | EMNLP | Knowledge-Enriched Natural Language Generation. | Wenhao Yu, Meng Jiang, Zhiting Hu, Qingyun Wang, Heng Ji, Nazneen Rajani |
| 2021 | EMNLP | Injecting Entity Types into Entity-Guided Text Generation. | Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang |
| 2021 | EMNLP | Sentence-Permuted Paragraph Generation. | Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang |
| 2021 | ICRA | Protective Policy Transfer. | Wenhao Yu, C. Karen Liu, Greg Turk |
| 2021 | ICRA | Policy Transfer via Kinematic Domain Randomization and Adaptation. | Ioannis Exarchos, Yifeng Jiang, Wenhao Yu, C. Karen Liu |
| 2021 | IROS | COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing. | Zhuo Xu, Wenhao Yu, Alexander Herzog, Wenlong Lu, Chuyuan Fu, Masayoshi Tomizuka, Yunfei Bai, C. Karen Liu, Daniel Ho |
| 2021 | KDD | Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. | Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang |
| 2021 | NAACL | Technical Question Answering across Tasks and Domains. | Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Gven, Meng Jiang |
| 2021 | WWW | Few-Shot Graph Learning for Molecular Property Prediction. | Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla |
| 2020 | ACL | Crossing Variational Autoencoders for Answer Retrieval. | Wenhao Yu, Lingfei Wu, Qingkai Zeng, Shu Tao, Yu Deng, Meng Jiang |
| 2020 | CIKM | GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. | Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla |
| 2020 | EMNLP | A Technical Question Answering System with Transfer Learning. | Wenhao Yu, Lingfei Wu, Yu Deng, Ruchi Mahindru, Qingkai Zeng, Sinem Gven, Meng Jiang |
| 2020 | EMNLP | Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER. | Qingkai Zeng, Wenhao Yu, Mengxia Yu, Tianwen Jiang, Tim Weninger, Meng Jiang |
| 2020 | WWW | Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning. | Wenhao Yu, Wei Peng, Yu Shu, Qingkai Zeng, Meng Jiang |
| 2020 | WWW | Identifying Referential Intention with Heterogeneous Contexts. | Wenhao Yu, Mengxia Yu, Tong Zhao, Meng Jiang |
| 2019 | ICLR | Policy Transfer with Strategy Optimization. | Wenhao Yu, C. Karen Liu, Greg Turk |
| 2019 | ICML | Learning Novel Policies For Tasks. | Yunbo Zhang, Wenhao Yu, Greg Turk |
| 2019 | IROS | Sim-to-Real Transfer for Biped Locomotion. | Wenhao Yu, Visak C. V. Kumar, Greg Turk, C. Karen Liu |
| 2019 | WWW | Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System. | Wenhao Yu, Zongze Li, Qingkai Zeng, Meng Jiang |
| 2017 | ICRA | What does the person feel? Learning to infer applied forces during robot-assisted dressing. | Zackory Erickson, Alexander Clegg, Wenhao Yu, Greg Turk, C. Karen Liu, Charles C. Kemp |
| 2017 | IROS | Learning to navigate cloth using haptics. | Alexander Clegg, Wenhao Yu, Zackory Erickson, Jie Tan, C. Karen Liu, Greg Turk |
| 2017 | ICRA | Haptic simulation for robot-assisted dressing. | Wenhao Yu, Ariel Kapusta, Jie Tan, Charles C. Kemp, Greg Turk, C. Karen Liu |
| 2016 | RO-MAN | Data-driven haptic perception for robot-assisted dressing. | Ariel Kapusta, Wenhao Yu, Tapomayukh Bhattacharjee, C. Karen Liu, Greg Turk, Charles C. Kemp |