Jiacheng Zhu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
19
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DATE | Explainable Hardware Trojan Detection at RTL using Attention Mechanism. | Siyu Tian, Wei Hu, Lingjuan Wu, Tianle You, Hao Su, Jiacheng Zhu |
| 2025 | ACL | mStyleDistance: Multilingual Style Embeddings and their Evaluation. | Justin Qiu, Jiacheng Zhu, Ajay Patel, Marianna Apidianaki, Chris Callison-Burch |
| 2025 | CVPR | SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models. | Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu |
| 2025 | DATE | Late Breaking Results: Approximated LUT-Based Neural Networks for FPGA Accelerated Inference. | Xuqi Zhu, Jiacheng Zhu, Huaizhi Zhang, Tamim M. Al-Hasan, Klaus D. McDonald-Maier, Xiaojun Zhai |
| 2025 | ICML | LEMoN: Label Error Detection using Multimodal Neighbors. | Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi |
| 2025 | ICML | Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. | Rickard Brel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon |
| 2025 | IROS | Computationally Efficient FPGA-based Large Language Model Inference for Real-Time Decision-Making in Robotic Systems. | Huaizhi Zhang, Tamim M. Al-Hasan, Xuqi Zhu, Jiacheng Zhu, Weiyong Si, Klaus D. McDonald-Maier, Xiaojun Zhai |
| 2025 | ISCAS | A Privacy-aware Quantilisation Approach for Efficient Edge Deep Learning Accelerator. | Huaizhi Zhang, Xuqi Zhu, Jiacheng Zhu, Klaus D. McDonald-Maier, Xiaojun Zhai |
| 2025 | NAACL | StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples. | Ajay Patel, Jiacheng Zhu, Justin Qiu, Zachary Horvitz, Marianna Apidianaki, Kathleen McKeown, Chris Callison-Burch |
| 2025 | NPC | Joint Optimization of Computation and Communication Resources for GPU Allocation in Heterogeneous Clusters. | Jiacheng Zhu, Chu Xu, Gongming Zhao, Hongli Xu, Gangyi Luo, Hao Zheng |
| 2025 | PIMRC | Embedded AI for WiFi Sensing of Surface Hotness. | Yirui Deng, Wanqiu Ding, Jiacheng Zhu, Ziyang Wang, Deepak Mishra, Aruna Seneviratne |
| 2024 | AISTATS | Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. | Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao |
| 2024 | CVPR | MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos. | Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Ding Zhao, Bo Li, Lijuan Wang |
| 2024 | GLOBECOM | LUT Level Information Flow Tracking for FPGA Design Security Verification. | Jiacheng Zhu, Wei Hu, Lingjuan Wu, Dan Zhu, Dejun Mu |
| 2024 | ICML | Asymmetry in Low-Rank Adapters of Foundation Models. | Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sez de Ocriz Borde, Rickard Brel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon |
| 2023 | ACL | SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment. | Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin |
| 2023 | EACL | Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? | Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao |
| 2023 | EMNLP | Can Brain Signals Reveal Inner Alignment with Human Languages? | Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao |
| 2023 | ICASSP | Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation. | Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Peide Huang, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao |
| 2023 | ICML | Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics. | Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao |
| 2023 | IROS | SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments. | Hanjiang Hu, Baoquan Yang, Zhijian Qiao, Shiqi Liu, Jiacheng Zhu, Zuxin Liu, Wenhao Ding, Ding Zhao, Hesheng Wang |
| 2023 | IROS | GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. | Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang |
| 2022 | CoRL | Robustness Certification of Visual Perception Models via Camera Motion Smoothing. | Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao |
| 2022 | IROS | Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling. | Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao |
| 2022 | SENSYS | Re-vibe: vibration-based indoor person re-identification through cross-structure optimal transport. | Yiwen Dong, Jiacheng Zhu, Hae Young Noh |
| 2021 | ICRA | Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. | Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Liang Li, Ding Zhao |
| 2020 | AAAI | Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract). | Chong Jiang, Zongzhang Zhang, Zixuan Chen, Jiacheng Zhu, Junpeng Jiang |
| 2020 | AAAI | Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract). | Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang |
| 2020 | ICONIP | TAC-GAIL: A Multi-modal Imitation Learning Method. | Jiacheng Zhu, Chong Jiang |