Jiacheng Zhu - RankMe

120 papers A* 13A 6B 2C 2Misc 2Journal 69Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agent Banana: High-Fidelity Image Editing with Agentic Thinking and Tooling. CoRR Ruijie Ye, Jiayi Zhang, Zhuoxin Liu, Zihao Zhu, Siyuan Yang, Li Li, Tianfu Fu, Franck Dernoncourt, Yue Zhao, Jiacheng Zhu, Ryan Rossi, Wenhao Chai, Zhengzhong Tu
2026	J	`jnl`	Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization. CoRR Yihang Yao, Zhepeng Cen, Haohong Lin, Shiqi Liu, Zuxin Liu, Jiacheng Zhu, Zhang-Wei Hong, Laixi Shi, Ding Zhao
2026	J	`jnl`	Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces. CoRR Mike A. Merrill, Alexander Glenn Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, Estefany Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Jenia Jitsev, Di Lu, Orfeas Menis-Mastromichalakis, Zhiwei Xu, Zizhao Chen, Yue Liu, Robert Zhang, Leon Liangyu Chen, Anurag Kashyap, Jan-Lucas Uslu, Jeffrey Li, Jianbo Wu, Minghao Yan, Song Bian, Vedang Sharma, Ke Sun, Steven Dillmann, Akshay Anand, Andrew Lanpouthakoun, Bardia Koopah, Changran Hu, Etash Kumar Guha, Gabriel H. S. Dreiman, Jiacheng Zhu, Karl Krauth, Li Zhong, Niklas Muennighoff, Robert Amanfu, Shangyin Tan, Shreyas Pimpalgaonkar, Tushar Aggarwal, Xiangning Lin, Xin Lan, Xuandong Zhao, Yiqing Liang, Yuanli Wang, Zilong Wang, Changzhi Zhou, David Heineman, Hange Liu, Harsh Trivedi, John Yang, Junhong Lin, Manish Shetty, Michael Yang, Nabil Omi, Negin Raoof, Shanda Li, Terry Yue Zhuo, Wuwei Lin, Yiwei Dai, Yuxin Wang, Wenhao Chai, Shang Zhou, Dariush Wahdany, Ziyu She, Jiaming Hu, Zhikang Dong, Yuxuan Zhu, Sasha Cui, Ahson Saiyed, Arinbjörn Kolbeinsson, Jesse Hu, Christopher Michael Rytting, Ryan Marten, Yixin Wang, Alex Dimakis, Andy Konwinski, Ludwig Schmidt
2025	C	`conf`	A Privacy-aware Quantilisation Approach for Efficient Edge Deep Learning Accelerator. ISCAS Huaizhi Zhang, Xuqi Zhu, Jiacheng Zhu, Klaus D. McDonald-Maier, Xiaojun Zhai
2025	J	`jnl`	Agent Learning via Early Experience. CoRR Kai Zhang, Xiangchao Chen, Bo Liu, Tianci Xue, Zeyi Liao, Zhihan Liu, Xiyao Wang, Yuting Ning, Zhaorun Chen, Xiaohan Fu, Jian Xie, Yuxuan Sun, Boyu Gou, Qi Qi, Zihang Meng, Jianwei Yang, Ning Zhang, Xian Li, Ashish Shah, Dat Huynh, Hengduo Li, Zi Yang, Sara Cao, Lawrence Jang, Shuyan Zhou, Jiacheng Zhu, Huan Sun, Jason Weston, Yu Su, Yifan Wu
2025	—	`conf`	Bug Hunting in the RISC-V SoC: The 1 AsianHOST Lei Peng, Jiacheng Zhu, Qizhi Zhang, Shibo Tang, Xingxin Wang, Xinyu Zheng, Yaxuan Zhao, Aijiao Cui, Wei Hu, Jiaji He, Peng Fei Qiu
2025	A*	`conf`	Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. ICML Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
2025	A	`conf`	Computationally Efficient FPGA-based Large Language Model Inference for Real-Time Decision-Making in Robotic Systems. IROS Huaizhi Zhang, Tamim M. Al-Hasan, Xuqi Zhu, Jiacheng Zhu, Weiyong Si, Klaus D. McDonald-Maier, Xiaojun Zhai
2025	B	`conf`	Embedded AI for WiFi Sensing of Surface Hotness. PIMRC Yirui Deng, Wanqiu Ding, Jiacheng Zhu, Ziyang Wang, Deepak Mishra, Aruna Seneviratne
2025	J	`jnl`	Hypergraph-driven soft semantics flexible learning for visible-infrared person re-identification. Eng. Appl. Artif. Intell. Jiacheng Zhu, Hongwei Ge, Yuxuan Liu, Chunguo Wu, Jiulin Fan
2025	—	`conf`	Joint Optimization of Computation and Communication Resources for GPU Allocation in Heterogeneous Clusters. NPC (1) Jiacheng Zhu, Chu Xu, Gongming Zhao, Hongli Xu, Gangyi Luo, Hao Zheng
2025	A*	`conf`	LEMoN: Label Error Detection using Multimodal Neighbors. ICML Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi
2025	A	`conf`	Late Breaking Results: Approximated LUT-Based Neural Networks for FPGA Accelerated Inference. DATE Xuqi Zhu, Jiacheng Zhu, Huaizhi Zhang, Tamim M. Al-Hasan, Klaus D. McDonald-Maier, Xiaojun Zhai
2025	J	`jnl`	Line-Frame Combined Multi-Slit Hyperspectral Imaging System for Simplified and High-Precision UAV Remote Sensing Solution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Liangjie Huang, Xiyu Zhou, Jiamin Huang, Li Shao, Weimin Shen, Jiacheng Zhu
2025	J	`jnl`	MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning. CoRR Yiqing Liang, Jielin Qiu, Wenhao Ding, Zuxin Liu, James Tompkin, Mengdi Xu, Mengzhou Xia, Zhengzhong Tu, Laixi Shi, Jiacheng Zhu
2025	J	`jnl`	Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with prior knowledge. Neurocomputing Zhongzhi Li, Jingqi Tu, Jiacheng Zhu, Rong Fan, Jianliang Ai, Yiqun Dong
2025	J	`jnl`	Scaling Agent Learning via Experience Synthesis. CoRR Zhaorun Chen, Zhuokai Zhao, Kai Zhang, Bo Liu, Qi Qi, Yifan Wu, Tarun Kalluri, Sara Cao, Yuanhao Xiong, Haibo Tong, Huaxiu Yao, Hengduo Li, Jiacheng Zhu, Xian Li, Dawn Song, Bo Li, Jason Weston, Dat Huynh
2025	A*	`conf`	SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models. CVPR Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu
2025	—	`conf`	StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples. NAACL (Long Papers) Ajay Patel, Jiacheng Zhu, Justin Qiu, Zachary Horvitz, Marianna Apidianaki, Kathleen McKeown, Chris Callison-Burch
2025	J	`jnl`	WoW: Towards a World omniscient World model Through Embodied Interaction. CoRR Xiaowei Chi, Peidong Jia, Chun-Kai Fan, Xiaozhu Ju, Weishi Mi, Kevin Zhang, Zhiyuan Qin, Wanxin Tian, Kuangzhi Ge, Hao Li, Zezhong Qian, Anthony Chen, Qiang Zhou, Yueru Jia, Jiaming Liu, Yong Dai, Qingpo Wuwu, Chengyu Bai, Yu-Kai Wang, Ying Li, Lizhang Chen, Yong Bao, Zhiyuan Jiang, Jiacheng Zhu, Kai Tang, Ruichuan An, Yulin Luo, Qiuxuan Feng, Siyuan Zhou, Chi-Min Chan, Chengkai Hou, Wei Xue, Sirui Han, Yike Guo, Shanghang Zhang, Jian Tang
2025	—	`conf`	mStyleDistance: Multilingual Style Embeddings and their Evaluation. ACL (Findings) Justin Qiu, Jiacheng Zhu, Ajay Patel, Marianna Apidianaki, Chris Callison-Burch
2025	J	`jnl`	mStyleDistance: Multilingual Style Embeddings and their Evaluation. CoRR Justin Qiu, Jiacheng Zhu, Ajay Patel, Marianna Apidianaki, Chris Callison-Burch
2024	A*	`conf`	Asymmetry in Low-Rank Adapters of Foundation Models. ICML Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon
2024	J	`jnl`	Asymmetry in Low-Rank Adapters of Foundation Models. CoRR Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon
2024	A*	`conf`	BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. NeurIPS Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
2024	J	`jnl`	BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. CoRR Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
2024	J	`jnl`	Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. CoRR Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
2024	J	`jnl`	Datasets and Benchmarks for Offline Safe Reinforcement Learning. J. Data-centric Mach. Learn. Res. Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
2024	J	`jnl`	Dynamic travel time prediction with spatiotemporal features: using a GNN-based deep learning method. Ann. Oper. Res. Dujuan Wang, Jiacheng Zhu, Yunqiang Yin, Joshua Ignatius, Xiaowen Wei, Ajay Kumar
2024	J	`jnl`	Emotion knowledge-based fine-grained facial expression recognition. Neurocomputing Jiacheng Zhu, Yu Ding, Hanwei Liu, Keyu Chen, Zhanpeng Lin, Wenxing Hong
2024	J	`jnl`	Fast, Scalable, Energy-Efficient Non-element-wise Matrix Multiplication on FPGA. CoRR Xuqi Zhu, Huaizhi Zhang, JunKyu Lee, Jiacheng Zhu, Chandrajit Pal, Sangeet Saha, Klaus D. McDonald-Maier, Xiaojun Zhai
2024	J	`jnl`	Functional optimal transport: regularized map estimation and domain adaptation for functional data. J. Mach. Learn. Res. Jiacheng Zhu, Aritra Guha, Dat Do, Mengdi Xu, XuanLong Nguyen, Ding Zhao
2024	J	`jnl`	Hardware/software security co-verification and vulnerability detection: An information flow perspective. Integr. Maoyuan Qin, Jiacheng Zhu, Baolei Mao, Wei Hu
2024	J	`jnl`	Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin N. Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren
2024	J	`jnl`	LEMoN: Label Error Detection using Multimodal Neighbors. CoRR Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi
2024	B	`conf`	LUT Level Information Flow Tracking for FPGA Design Security Verification. GLOBECOM Jiacheng Zhu, Wei Hu, Lingjuan Wu, Dan Zhu, Dejun Mu
2024	A*	`conf`	MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos. CVPR 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	—	`conf`	NIRVANA: Non-Invasive Real-Time VulnerAbility ANAlysis for RISC-V Processor. COINS Jiacheng Zhu, Xuqi Zhu, Michal Borowski, Huaizhi Zhang, Chandrajit Pal, Sangeet Saha, Dongbing Gu, Klaus D. McDonald-Maier, Xiaojun Zhai
2024	A	`conf`	Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. AISTATS Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
2024	J	`jnl`	Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo
2024	J	`jnl`	Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving. IEEE Robotics Autom. Lett. Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao
2024	J	`jnl`	Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge. CoRR Zhongzhi Li, Jingqi Tu, Jiacheng Zhu, Jianliang Ai, Yiqun Dong
2024	J	`jnl`	SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models. CoRR Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu
2024	J	`jnl`	StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples. CoRR Ajay Patel, Jiacheng Zhu, Justin Qiu, Zachary Horvitz, Marianna Apidianaki, Kathy McKeown, Chris Callison-Burch
2024	J	`jnl`	UIR-ES: An unsupervised underwater image restoration framework with equivariance and stein unbiased risk estimator. Image Vis. Comput. Jiacheng Zhu, Junjie Wen, Duanqin Hong, Zhanpeng Lin, Wenxing Hong
2023	—	`conf`	Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report. ML4H@NeurIPS Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao
2023	—	`conf`	CTAN: Collaborative Tag-Aware Attentive Network for Recommendation. ICCSE (1) Wenxing Hong, Zhuomin Li, Xiang Li, Jiacheng Zhu
2023	—	`conf`	Can Brain Signals Reveal Inner Alignment with Human Languages? EMNLP (Findings) Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao
2023	Misc	`conf`	Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation. ICASSP Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Peide Huang, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao
2023	A*	`conf`	Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. NeurIPS Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao
2023	J	`jnl`	Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. CoRR Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao
2023	J	`jnl`	Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding. CoRR Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao
2023	J	`jnl`	Datasets and Benchmarks for Offline Safe Reinforcement Learning. CoRR Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
2023	A	`conf`	GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. IROS Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang
2023	J	`jnl`	GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. CoRR Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang
2023	J	`jnl`	Geostationary Full-Spectrum Wide-Swath High-Fidelity Imaging Spectrometer: Optical Design and Prototype Development. Remote. Sens. Jiacheng Zhu, Zhicheng Zhao, Quan Liu, Xinhua Chen, Huan Li, Shaofan Tang, Weimin Shen
2023	—	`conf`	Interactive Car-Following: Matters but NOT Always. ITSC Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun
2023	J	`jnl`	Interactive Car-Following: Matters but NOT Always. CoRR Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun
2023	J	`jnl`	Interpolation for Robust Learning: Data Augmentation on Geodesics. CoRR Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao
2023	A*	`conf`	Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics. ICML Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao
2023	J	`jnl`	Interpretable Multi-Modal Stacking-Based Ensemble Learning Method for Real Estate Appraisal. IEEE Trans. Multim. Sutong Wang, Jiacheng Zhu, Yunqiang Yin, Dujuan Wang, T. C. Edwin Cheng, Yanzhang Wang
2023	J	`jnl`	MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos. CoRR Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Bo Li, Ding Zhao, Lijuan Wang
2023	J	`jnl`	Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging. CoRR Jielin Qiu, Peide Huang, Makiya Nakashima, Jaehyun Lee, Jiacheng Zhu, W. H. Wilson Tang, Pohao Chen, Christopher Nguyen, Byung-Hak Kim, Debbie Kwon, Douglas Weber, Ding Zhao, David Chen
2023	J	`jnl`	Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. CoRR Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
2023	—	`conf`	SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment. ACL (Findings) Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin
2023	J	`jnl`	Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving. CoRR Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao
2023	A	`conf`	SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments. IROS Hanjiang Hu, Baoquan Yang, Zhijian Qiao, Shiqi Liu, Jiacheng Zhu, Zuxin Liu, Wenhao Ding, Ding Zhao, Hesheng Wang
2023	—	`conf`	Security Verification of RISC-V System Based on ISA Level Information Flow Tracking. ATS Lingjuan Wu, Yifei Gao, Jiacheng Zhu, Yu Tai, Wei Hu
2023	J	`jnl`	Traffic flow and speed forecasting through a Bayesian deep multi-linear relationship network. Expert Syst. Appl. Dongfang Ma, Jiacheng Zhu, Xiang (Ben) Song, Xin Wang
2023	—	`conf`	Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? EACL (Findings) Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao
2023	J	`jnl`	Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? CoRR Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao
2023	—	`conf`	Verifying RISC-V Privilege Transition Integrity Through Symbolic Execution. ATS Shibo Tang, Jiacheng Zhu, Yifei Gao, Jing Zhou, Dejun Mu, Wei Hu
2022	J	`jnl`	An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram. CoRR William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao
2022	A*	`conf`	Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. NeurIPS Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
2022	J	`jnl`	Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. CoRR Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
2022	—	`conf`	FedHD: A Privacy-Preserving Recommendation System with Homomorphic Encryption and Differential Privacy. ICCSE (1) Wenxing Hong, Hejia Zhang, Jiacheng Zhu
2022	—	`conf`	GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction. MLHC Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao
2022	J	`jnl`	GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction. CoRR Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao
2022	J	`jnl`	MHMS: Multimodal Hierarchical Multimedia Summarization. CoRR Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin
2022	J	`jnl`	Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction. CoRR Jielin Qiu, Jiacheng Zhu, Michael A. Rosenberg, Emerson Liu, Ding Zhao
2022	—	`conf`	PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression. CHIL Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren
2022	J	`jnl`	PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression. CoRR Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren
2022	—	`conf`	Re-vibe: vibration-based indoor person re-identification through cross-structure optimal transport. BuildSys Yiwen Dong, Jiacheng Zhu, Hae Young Noh
2022	Misc	`conf`	Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRL Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
2022	J	`jnl`	Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRR Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
2022	A	`conf`	Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling. IROS Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao
2022	J	`jnl`	Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment. CoRR Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin
2022	J	`jnl`	Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios. IEEE Trans. Intell. Transp. Syst. Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi
2022	J	`jnl`	Understanding V2V Driving Scenarios Through Traffic Primitives. IEEE Trans. Intell. Transp. Syst. Wenshuo Wang, Weiyang Zhang, Jiacheng Zhu, Ding Zhao
2022	J	`jnl`	VThunter: a database for single-cell screening of virus target cells in the animal kingdom. Nucleic Acids Res. Dongsheng Chen, Cong Tan, Peiwen Ding, Lihua Luo, Jiacheng Zhu, Xiaosen Jiang, Zhihua Ou, Xiangning Ding, Tianming Lan, Yixin Zhu, Yi Jia, Yanan Wei, Runchu Li, Qiuyu Qin, Chengcheng Sun, Wandong Zhao, Zhiyuan Lv, Haoyu Wang, Wendi Wu, Yuting Yuan, Mingyi Pu, Yuejiao Li, Yanan Zhang, Ashley Chang, Guoji Guo, Yong Bai, Xin Jin, Huan Liu
2021	—	`conf`	A Correlation Fault Attack on Rotating S-Box Masking AES. AsianHOST Xingxin Wang, Jian Zheng, Lingjuan Wu, Jiacheng Zhu, Wei Hu
2021	J	`jnl`	Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling. CoRR Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao
2021	J	`jnl`	Accelerating hardware security verification and vulnerability detection through state space reduction. Comput. Secur. Lixiang Shen, Dejun Mu, Guo Cao, Maoyuan Qin, Jiacheng Zhu, Wei Hu
2021	—	`conf`	CAE: A Framework for Computer-Aided Talent Evaluation. ICCSE Wenxing Hong, Xiaolin Wu, Binyue Cui, Jiacheng Zhu, Yuwen Chen
2021	A*	`conf`	Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. ICRA Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Liang Li, Ding Zhao
2021	J	`jnl`	Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. CoRR Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Ding Zhao
2021	—	`conf`	Digitalization Capability Evaluation System and Practice. ICCSE Binyue Cui, Wenxing Hong, Jiacheng Zhu, Xiaolin Wu
2021	J	`jnl`	Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data. CoRR Jiacheng Zhu, Aritra Guha, Mengdi Xu, Yingchen Ma, Rayleigh Lei, Vincenzo Loffredo, XuanLong Nguyen, Ding Zhao
2021	—	`conf`	Identifying Specious LUTs for Satisfiability Don't Care Trojan Detection. SoCC Lingjuan Wu, Xuefei Li, Jiacheng Zhu, Jian Zheng, Wei Hu
2021	J	`jnl`	Input data selection for daily traffic flow forecasting through contextual mining and intra-day pattern recognition. Expert Syst. Appl. Dongfang Ma, Xiang Ben Song, Jiacheng Zhu, Weihao Ma
2020	J	`jnl`	Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories. IEEE Trans. Intell. Veh. Wenshuo Wang, Aditya Ramesh, Jiacheng Zhu, Jie Li, Ding Zhao
2020	A*	`conf`	Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract). AAAI Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang
2020	C	`conf`	Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression. IV Weiyang Zhang, Wenshuo Wang, Jiacheng Zhu, Ding Zhao
2020	J	`jnl`	Robust Unsupervised Learning of Temporal Dynamic Interactions. CoRR Aritra Guha, Rayleigh Lei, Jiacheng Zhu, XuanLong Nguyen, Ding Zhao
2020	J	`jnl`	Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios. CoRR Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi
2020	—	`conf`	TAC-GAIL: A Multi-modal Imitation Learning Method. ICONIP (2) Jiacheng Zhu, Chong Jiang
2020	A*	`conf`	Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes. NeurIPS Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao
2020	J	`jnl`	Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes. CoRR Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao
2020	A*	`conf`	Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract). AAAI Chong Jiang, Zongzhang Zhang, Zixuan Chen, Jiacheng Zhu, Junpeng Jiang
2019	—	`conf`	A General Framework of Learning Multi-Vehicle Interaction Patterns from Video. ITSC Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao
2019	J	`jnl`	A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos. CoRR Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao
2019	J	`jnl`	An efficient anonymous remote attestation scheme for trusted computing based on improved CPK. Electron. Commer. Res. Fajiang Yu, Jing Chen, Yang Xiang, Jiacheng Zhu, Yangdi Zhao
2019	J	`jnl`	Estimating Risk Levels of Driving Scenarios through Analysis of Driving Styles for Autonomous Vehicles. CoRR Songlin Xu, Jiacheng Zhu
2019	—	`conf`	Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. ITSC Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao
2019	J	`jnl`	Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. CoRR Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao
2019	J	`jnl`	Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process. CoRR Jiacheng Zhu, Shenghao Qin, Wenshuo Wang, Ding Zhao
2019	J	`jnl`	Recurrent Attentive Neural Process for Sequential Data. CoRR Shenghao Qin, Jiacheng Zhu, Jimmy Qin, Wenshuo Wang, Ding Zhao
2018	—	`conf`	A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives. ITSC Jiacheng Zhu, Wenshuo Wang, Ding Zhao
2018	J	`jnl`	A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives. CoRR Jiacheng Zhu, Wenshuo Wang, Ding Zhao
2010	—	`conf`	An Efficient Genetic Algorithm for the Traveling Salesman Problem. ISICA (2) Guangfu Sun, Chengjun Li, Jiacheng Zhu, Yanpeng Li, Wei Liu