| 2026 | ACL | Decoding Scientific Experimental Images: The SPUR Benchmark for Perception, Understanding, and Reasoning. | Junpeng Ding, Zichen Tang, Haihong E, Mengyuan Ji, Yang Liu, Haolin Tian, Haiyang Sun, Pengqi Sun, Yang Xu, Yichen Liu, Haocheng Gao, Zijie Xi, Ruomeng Jiang, Peizhi Zhao, Rongjin Li, Yuanze Li, Jiacheng Liu, Zhongjun Yang, Jintong Chen, Siying Lin |
| 2026 | ICPR | Sync-Flow: Synchronization-Aware One-Step Generative Model for Audio-Visual Speech Enhancement. | Yichen Liu, Weiqiang Wang |
| 2026 | ICPR | Rectifying Self-Supervised Speech Representations for Diffusion-Based Speech Enhancement. | Yichen Liu, Weiqiang Wang |
| 2026 | ISCAS | A Fully-Integrated Flip-Voltage-Follower LDO With Bootstrap Follower Achieving -52 dB PSRR@1MHz and 3.24 ps FoM. | Yichen Liu, Keqing Qiu, Jian Zhang, Yan Wang, Chuang Wang |
| 2025 | ACL | LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios. | Xiaodong Wu, Minhao Wang, Yichen Liu, Xiaoming Shi, He Yan, Xiangju Li, Junmin Zhu, Wei Zhang |
| 2025 | CogSci | Personalized Knowledge Tracing Based on Generative Models: Cognitive Exploration of Learning Preferences. | Shiyu Zhu, Li Li, Yichen Liu |
| 2025 | CVPR | MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction. | Jingcheng Ni, Yuxin Guo, Yichen Liu, Rui Chen, Lewei Lu, Zehuan Wu |
| 2025 | EMNLP | ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework. | Lisheng Huang, Yichen Liu, Jinhao Jiang, Rongxiang Zhang, Jiahao Yan, Junyi Li, Xin Zhao |
| 2025 | ICCV | UniMLVG: Unified Framework for Multi-View Long Video Generation with Comprehensive Control Capabilities for Autonomous Driving. | Rui Chen, Zehuan Wu, Yichen Liu, Yuxin Guo, Jingcheng Ni, Haifeng Xia, Siyu Xia |
| 2025 | NDSS | Hidden and Lost Control: on Security Design Risks in IoT User-Facing Matter Controller. | Haoqiang Wang, Yiwei Fang, Yichen Liu, Ze Jin, Emma Delph, Xiaojiang Du, Qixu Liu, Luyi Xing |
| 2025 | RTSS | On the Scalability and Efficiency of Intra-Process Communication in Ros 2. | Xiantong Luo, Xu Jiang, Yichen Liu, Nan Guan, Yue Tang, Shaoshuai Zhang |
| 2024 | CIKM | Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding. | Yichen Liu, Jiawei Chen, Defang Chen, Zhehui Zhou, Yan Feng, Can Wang |
| 2024 | CVPR | SANeRF-HQ: Segment Anything for NeRF in High Quality. | Yichen Liu, Benran Hu, Chi-Keung Tang, Yu-Wing Tai |
| 2024 | DCC | A Non-reference Just Recognized Distortion Prediction Framework for Object Detection Task. | Yichen Liu, Haibing Yin, Hongkui Wang, Xia Wang, Lida Yin |
| 2024 | ICDM | Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration. | Cheng Qian, Xianglong Shi, Shanshan Yao, Yichen Liu, Fengming Zhou, Zishu Zhang, Junaid Akram, Ali Braytee, Ali Anaissi |
| 2024 | ICPR | Time-Aware Intent Contrastive Learning with Rare-Class Sample Generator for Sequential Recommendation. | Yichen Liu, Qianqian Ren, Xingfeng Lv |
| 2024 | MICCAI | Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinal Disease with Conformal Prediction. | Biraja Ghoshal, William Woof, Bernardo Mendes, Saoud Al-Khuzaei, Thales Antonio Cabral De Guimaraes, Malena Daich Varela, Yichen Liu, Sagnik Sen, Siying Lin, Mital Shah, Yu Fujinami-Yokokawa, Andrew R. Webster, Omar A. Mahroo, Kaoru Fujinami, Frank G. Holz, Philipp Herrmann, Juliana Sallum, Konstantinos Balaskas, Savita Madhusudhan, Susan M. Downes, Michel Michaelides, Nikolas Pontikos |
| 2024 | RAID | CrypTody: Cryptographic Misuse Analysis of IoT Firmware via Data-flow Reasoning. | Jianing Wang, Shanqing Guo, Wenrui Diao, Yue Liu, Haixin Duan, Yichen Liu, Zhenkai Liang |
| 2023 | CVPR | NeRF-RPN: A general framework for object detection in NeRFs. | Benran Hu, Junkai Huang, Yichen Liu, Yu-Wing Tai, Chi-Keung Tang |
| 2023 | ICCV | Instance Neural Radiance Field. | Yichen Liu, Benran Hu, Junkai Huang, Yu-Wing Tai, Chi-Keung Tang |
| 2023 | ICML | On Uni-Modal Feature Learning in Supervised Multi-Modal Learning. | Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao |
| 2023 | ICMLC | Reunet: An Efficient Remote Sensing Image Segmentation Network. | Yuhua Wang, Yichen Liu, Dezhao Deng, Yinghui Wang |
| 2023 | TrustCom | Distributed Dependent Task Offloading in CPU-GPU Heterogenous MEC: A Federated Reinforcement Learning Approach. | Hualong Huang, Zhekai Duan, Wenhan Zhan, Yichen Liu, Zhi Wang, Zitian Zhao |
| 2022 | ECCV | Learning Visual Styles from Audio-Visual Associations. | Tingle Li, Yichen Liu, Andrew Owens, Hang Zhao |
| 2021 | Interspeech | CVC: Contrastive Learning for Non-Parallel Voice Conversion. | Tingle Li, Yichen Liu, Chenxu Hu, Hang Zhao |
| 2014 | ICONIP | Online Detection of Concept Drift in Visual Tracking. | Yichen Liu, Yue Zhou |
| 2004 | PIMRC | Ad hoc wireless networks with mobile backbones. | Izhak Rubin, Arash Behzad, Laura Huei-jiun Ju, Runhe Zhang, Xiaolong Huang, Yichen Liu, Rima Khalaf |