Zhengyang Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
19
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | CompTab: A Comprehensive Benchmark for Real-World TableQA with Complex Reasoning and Irregular Tables. | Zhen Yang, Wei Du, Jie Wang, Wenze Zhou, Xiangfeng Meng, Zhengyang Wang, Suping Sun, Ziwei Du, Haodong Zou, Jie Chen, Yongbin Liu, Shicheng Tan, Jiahao Ying, Shu Zhao |
| 2026 | ACL | PersonaAgent: Bridging Memory and Action for Personalized LLM Agents. | Weizhi Zhang, Xinyang Zhang, Chenwei Zhang, Liangwei Yang, Jingbo Shang, Zhepei Wei, Henry Peng Zou, Zijie Huang, Zhengyang Wang, Yifan Gao, Xiaoman Pan, Lian Xiong, Jingguo Liu, Philip S. Yu, Xian Li |
| 2026 | DATE | RAMP: RTL-Level Emulation with Thousand-Core-Scale Parallelism. | Weigang Feng, Yijia Zhang, Zekun Wang, Zhengyang Wang, Yi Wang, Peijun Ma, Ningyi Xu |
| 2025 | ACL | UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations. | Fengran Mo, Yifan Gao, Chuan Meng, Xin Liu, Zhuofeng Wu, Kelong Mao, Zhengyang Wang, Pei Chen, Zheng Li, Xian Li, Bing Yin, Meng Jiang |
| 2025 | CVPR | Dual Semantic Guidance for Open Vocabulary Semantic Segmentation. | Zhengyang Wang, Tingliang Feng, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan |
| 2025 | EMNLP | Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates. | Hy Dang, Tianyi Liu, Zhuofeng Wu, Jingfeng Yang, Haoming Jiang, Tao Yang, Pei Chen, Zhengyang Wang, Helen Wang, Huasheng Li, Bing Yin, Meng Jiang |
| 2025 | EMNLP | Can Language Models Follow Multiple Turns of Entangled Instructions? | Chi Han, Xin Liu, Haodong Wang, Shiyang Li, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Qingyu Yin, Liang Qiu, Changlong Yu, Yifan Gao, Zheng Li, Bing Yin, Jingbo Shang, Heng Ji |
| 2025 | EMNLP | DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning. | Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xin Liu, Zhengyang Wang, Xianfeng Tang, Shiyang Li, Xiang He, Ruijie Wang, Bing Yin, Xiao Gu, Lei A. Clifton, David A. Clifton |
| 2025 | EMNLP | CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation. | Ziyue Liu, Ruijie Zhang, Zhengyang Wang, Mingsong Yan, Zi Yang, Paul D. Hovland, Bogdan Nicolae, Franck Cappello, Sui Tang, Zheng Zhang |
| 2025 | HCI | Which Works Best for Inspiration? Finding Ideal Creative Platform for Beginner Industrial Designers. | Zhengyang Wang, Ruochen Hu, Mengshi Yang |
| 2025 | ICLR | CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. | Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu |
| 2025 | NAACL | ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations. | Yichuan Li, Xinyang Zhang, Chenwei Zhang, Mao Li, Tianyi Liu, Pei Chen, Yifan Gao, Kyumin Lee, Kaize Ding, Zhengyang Wang, Zhihan Zhang, Jingbo Shang, Xian Li, Trishul Chilimbi |
| 2025 | NAACL | Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. | Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang |
| 2025 | WWW | Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing. | Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu |
| 2024 | EMNLP | Data Diversity Matters for Robust Instruction Tuning. | Alexander Bukharin, Shiyang Li, Zhengyang Wang, Jingfeng Yang, Bing Yin, Xian Li, Chao Zhang, Tuo Zhao, Haoming Jiang |
| 2024 | EMNLP | BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. | Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao |
| 2024 | HCI | A Study on Cognitive Style Type Test and Its Application in Teaching Activities. | Xueyi Luo, Minxia Liu, Zheng Han, Weipeng Jiang, Zhengyang Wang, Kunwu Li, Yu Gu, Mohammad Shidujaman |
| 2024 | HCI | Video2Comic: A Dynamic Comic Editor with Video Clips. | Zhengyang Wang, Xusheng Du, Tsukasa Fukusato, Haoran Xie |
| 2024 | ICDE | LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. | Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao |
| 2024 | ICLR | Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. | Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang |
| 2024 | ICML | Language Models as Semantic Indexers. | Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang |
| 2024 | IGARSS | A Paradigm for Generating Operational Seamless Land Surface Temperature Products. | Jie Cheng, Shugui Zhou, Quan Zhang, Xiangchen Meng, Weihan Liu, Shengyue Dong, Aixia Yang, Qi Zeng, Manqing Liu, Zhengyang Wang, Mengfei Guo, Chenze Wu, Hao Sun, Helin Wang |
| 2024 | SiggraphA | Landscape Cinemagraph Synthesis with Sketch Guidance. | Hao Jin, Zhengyang Wang, Xusheng Du, Xiaoxuan Xie, Haoran Xie |
| 2023 | ACL | Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. | Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang |
| 2023 | ACL | Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. | Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun |
| 2023 | ACL | SCOTT: Self-Consistent Chain-of-Thought Distillation. | Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren |
| 2023 | EMNLP | Improving Consistency for Text Summarization with Energy Functions. | Qi Zeng, Qingyu Yin, Zheng Li, Yifan Gao, Sreyashi Nag, Zhengyang Wang, Bing Yin, Heng Ji, Chao Zhang |
| 2023 | EMNLP | Knowledge-Selective Pretraining for Attribute Value Extraction. | Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Wang, Xiaodan Zhu |
| 2023 | KDD | Exploiting Intent Evolution in E-commercial Query Recommendation. | Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu |
| 2023 | KDD | A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. | Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang |
| 2023 | KDD | LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. | Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao |
| 2023 | MICRO | RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration. | Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie |
| 2022 | IJCNN | Adaptive Sparse Self-attention for Object Detection. | Mingjie Xu, Yonghong Song, Kangkang Xie, Pengcheng Guo, Jiaxi Mu, Wen Liu, Zhengyang Wang |
| 2021 | ICASSP | Environment-Independent Wi-Fi Human Activity Recognition with Adversarial Network. | Zhengyang Wang, Sheng Chen, Wei Yang, Yang Xu |
| 2021 | IJCNN | Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization. | Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu |
| 2020 | AAAI | Non-Local U-Nets for Biomedical Image Segmentation. | Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji |
| 2020 | ICDM | CorDEL: A Contrastive Deep Learning Approach for Entity Linkage. | Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji |
| 2020 | KDD | Kronecker Attention Networks. | Hongyang Gao, Zhengyang Wang, Shuiwang Ji |
| 2019 | SDM | Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions. | Zhengyang Wang, Hao Yuan, Shuiwang Ji |
| 2018 | KDD | Deep Adversarial Learning for Multi-Modality Missing Data Completion. | Lei Cai, Zhengyang Wang, Hongyang Gao, Dinggang Shen, Shuiwang Ji |
| 2018 | KDD | Large-Scale Learnable Graph Convolutional Networks. | Hongyang Gao, Zhengyang Wang, Shuiwang Ji |
| 2018 | KDD | Smoothed Dilated Convolutions for Improved Dense Prediction. | Zhengyang Wang, Shuiwang Ji |
| 2018 | SDM | Learning Convolutional Text Representations for Visual Question Answering. | Zhengyang Wang, Shuiwang Ji |