Zheyuan Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
17
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Adaptive and Context-rich Generative Self-supervised Learning on Graphs. | Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla |
| 2026 | ACL | Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization. | Xingjian Diao, Zheyuan Liu, Chunhui Zhang, Weiyi Wu, Keyi Kong, Lin Shi, Kaize Ding, Soroush Vosoughi, Jiang Gui |
| 2026 | ACL | AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning. | Mengzhao Jia, Zhihan Zhang, Ignacio Cases, Zheyuan Liu, Meng Jiang, Peng Qi |
| 2026 | ACL | MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues. | Zheyuan Liu, Dongwhi Kim, Yixin Wan, Xiangchi Yuan, Zhaoxuan Tan, Fengran Mo, Meng Jiang |
| 2026 | ACL | Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society. | Zheyuan Liu, Yixin Wan, Kai-Wei Chang, Meng Jiang, Jieyu Zhao, Nouha Dziri, Yuning Mao, Jia-Chen Gu, Jindong Gu |
| 2026 | ACL | Do LLMs Catch Their Own Mistakes? A Comprehensive Benchmark for Reflective Tool Use LLMs. | Zheyuan Liu, Liqiang Xiao, Yang Li, Hyokun Yun, Lihong Li, Chao Zhang, Meng Jiang |
| 2026 | ACL | Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks. | Nobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, Vaidehi Patil |
| 2026 | ACL | Instant Personalized Large Language Model Adaptation via Hypernetwork. | Zhaoxuan Tan, Zixuan Zhang, Haoyang Wen, Zheng Li, Rongzhi Zhang, Pei Chen, Fengran Mo, Zheyuan Liu, Qingkai Zeng, Qingyu Yin, Meng Jiang |
| 2026 | ACL | Behavior Knowledge Merge in Reinforced Agentic Models. | Xiangchi Yuan, Dachuan Shi, Chunhui Zhang, Zheyuan Liu, Shenglong Yao, Soroush Vosoughi, Wenke Lee |
| 2026 | WWW | OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG. | Fengran Mo, Zhan Su, Yuchen Hui, Jinghan Zhang, Jia Ao Sun, Zheyuan Liu, Chao Zhang, Tetsuya Sakai, Jian-Yun Nie |
| 2025 | ACL | Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models. | Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, Chunhui Zhang, Zhaoxuan Tan, Meng Jiang |
| 2025 | ACL | Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning. | Zheyuan Liu, Suraj Maharjan, Fanyou Wu, Rahil Parikh, Belhassen Bayar, Srinivasan H. Sengamedu, Meng Jiang |
| 2025 | CVPR | UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation. | Qihui Zhang, Munan Ning, Zheyuan Liu, Yue Huang, Shuo Yang, Yanbo Wang, Jiayi Ye, Xiao Chen, Yibing Song, Li Yuan |
| 2025 | EMNLP | Superficial Self-Improved Reasoners Benefit from Model Merging. | Xiangchi Yuan, Chunhui Zhang, Zheyuan Liu, Dachuan Shi, Leyan Pan, Soroush Vosoughi, Wenke Lee |
| 2025 | EMNLP | Knowing More, Acting Better: Hierarchical Representation for Embodied Decision-Making. | Chunhui Zhang, Zhongyu Ouyang, Xingjian Diao, Zheyuan Liu, Soroush Vosoughi |
| 2025 | ICCCN | Byzantine-Robust Federated Learning. | Zheyuan Liu, Qian Guo, Yidan Hu, Aisha Aseeri, Depeng Li, Rui Zhang |
| 2025 | MICCAI | Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts. | Gelei Xu, Yuying Duan, Zheyuan Liu, Xueyang Li, Meng Jiang, Michael Lemmon, Wei Jin, Yiyu Shi |
| 2025 | NAACL | Avoiding Copyright Infringement via Large Language Model Unlearning. | Guangyao Dou, Zheyuan Liu, Qing Lyu, Kaize Ding, Eric Wong |
| 2025 | NAACL | Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench. | Zheyuan Liu, Guangyao Dou, Mengzhao Jia, Zhaoxuan Tan, Qingkai Zeng, Yongle Yuan, Meng Jiang |
| 2024 | ACL | Towards Safer Large Language Models through Machine Unlearning. | Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang |
| 2024 | DAC | Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm. | Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi |
| 2024 | ECCV | OpenKD: Opening Prompt Diversity for Zero- and Few-Shot Keypoint Detection. | Changsheng Lu, Zheyuan Liu, Piotr Koniusz |
| 2024 | EMNLP | Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. | Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang |
| 2024 | EMNLP | Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts. | Zhaoxuan Tan, Zheyuan Liu, Meng Jiang |
| 2024 | IJCAI | DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models. | Yiwei Yang, Zheyuan Liu, Jun Jia, Zhongpai Gao, Yunhao Li, Wei Sun, Xiaohong Liu, Guangtao Zhai |
| 2024 | WWW | Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. | Zheyuan Liu, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu |
| 2024 | WWW | Can we Soft Prompt LLMs for Graph Learning Tasks? | Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla |
| 2024 | WACV | Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. | Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould |
| 2023 | CVPR | NTIRE 2023 Video Colorization Challenge. | Xiaoyang Kang, Xianhui Lin, Kai Zhang, Zheng Hui, Wangmeng Xiang, Jun-Yan He, Xiaoming Li, Peiran Ren, Xuansong Xie, Radu Timofte, Yixin Yang, Jinshan Pan, Zhong Zheng, Peng Qiyan, Jiangxin Zhang, Jinhui Dong, Jinjing Tan, Chi-Chen Lin, Lin Qipei Li, Qirong Liang, Ruipeng Gang, Xiaofeng Liu, Shuang Feng, Shuai Liu, Hao Wang, Chaoyu Feng, Furui Bai, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Siqi Chen, Yu Zhang, Hanning Xu, Zheyuan Liu, Zhao Zhang, Yan Luo, Zhichao Zuo |
| 2023 | CVPR | Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning. | Weixuan Sun, Jiayi Zhang, Jianyuan Wang, Zheyuan Liu, Yiran Zhong, Tianpeng Feng, Yandong Guo, Yanhao Zhang, Nick Barnes |
| 2023 | ICLR | Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization. | Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang |
| 2023 | WWW | Fair Graph Representation Learning via Diverse Mixture-of-Experts. | Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang |
| 2022 | ICDM | GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media. | Jiele Wu, Chunhui Zhang, Zheyuan Liu, Erchi Zhang, Steven Lloyd Wilson, Chuxu Zhang |
| 2022 | INFOCOM | Copa+: Analysis and Improvement of the Delay-based Congestion Control Algorithm Copa. | Wanchun Jiang, Haoyang Li, Zheyuan Liu, Jia Wu, Jiawei Huang, Danfeng Shan, Jianxin Wang |
| 2022 | PRICAI | Real-world Underwater Image Enhancement via Degradation-aware Dynamic Network. | Haotian Qian, Wentao Tong, Pan Mu, Zheyuan Liu, Hanning Xu |
| 2021 | ICCV | Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. | Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould |
| 2017 | EMNLP | KnowYourNyms? A Game of Semantic Relationships. | Ross Mechanic, Dean Fulgoni, Hannah Cutler, Sneha Rajana, Zheyuan Liu, Bradley Jackson, Anne Cocos, Chris Callison-Burch, Marianna Apidianaki |