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ORCIDZhi Jin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j161]Jiahao Wu
, Dandan Zhan, Zhi Jin:
Understanding and improving zero-reference deep curve estimation for low-light image enhancement. Appl. Intell. 54(9-10): 6846-6864 (2024)- [j160]Qiuying Ma, Xuan Zhang, Zishuo Ding, Chen Gao, Weiyi Shang, Qiong Nong, Yubin Ma, Zhi Jin:
Temporal knowledge graph reasoning based on evolutional representation and contrastive learning. Appl. Intell. 54(21): 10929-10947 (2024) - [j159]Xuejiao Wang, Tingfang Wu, Yelu Jiang, Taoning Chen, Deng Pan, Zhi Jin, Jingxin Xie, Lijun Quan, Qiang Lyu:
RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding. Bioinform. 40(1) (2024) - [j158]Wenjie Chu, Ailun Yu, Wei Zhang, Haiyan Zhao, Zhi Jin:
Perception field based imitation learning for unlabeled multi-agent pathfinding. Sci. China Inf. Sci. 67(5) (2024) - [j157]Yifei Xu, Jiaxin Lou, Yongbo Su, Zhi Jin:
A broadband ECL static frequency divider in InP DHBT using differential ft-doubler. IEICE Electron. Express 21(2): 20230507 (2024) - [j156]Hua Xu, Xuqiang Zheng, Zedong Wang, Chen Cai, Wenxiang Zhen, Guojun Yuan, Qinfen Hao, Xuan Guo, Zhi Jin:
A high-output-swing 64-Gb/s PAM-4 transmitter with a 4-tap hybrid FFE in 28-nm CMOS. IEICE Electron. Express 21(7): 20240104 (2024) - [j155]Zhicheng Liu, Jingtao Zhou, Jin Meng, Xiaoyu Wang, Kailong Chai, Chengyue Yang, Zhi Jin, Rui Jia:
Modular linear circuit matching method for a 110GHz balanced frequency doubler. IEICE Electron. Express 21(17): 20240395 (2024) - [j154]Zhen Yang, Jacky Wai Keung, Zeyu Sun, Yunfei Zhao, Ge Li, Zhi Jin, Shuo Liu, Yishu Li:
Improving domain-specific neural code generation with few-shot meta-learning. Inf. Softw. Technol. 166: 107365 (2024) - [j153]Jiayu Zhang, Hang Li, Dexuan Xu, Yiwei Lou, Menglong Ran, Zhi Jin, Yu Huang:
Decouple and Decorrelate: A Disentanglement Security Framework Combining Sample Weighting for Cross-Institution Biased Disease Diagnosis. IEEE Internet Things J. 11(15): 25543-25557 (2024) - [j152]Yuxin Fang, Jialin Zhang, Yongbo Su, Zhi Jin, Yinghui Zhong:
Intrinsic point defects investigation in InAlAs with extrapolated defect transition level. Microelectron. J. 147: 106168 (2024) - [j151]S. H. Meng, X. L. Han, Peng Ding, B. Mei, Yongbo Su, Jialin Zhang, H. Q. Yun, Zhi Jin, Yinghui Zhong:
A behavioral model for electron irradiation effect on the DC performance in InP-based HEMT. Microelectron. J. 148: 106181 (2024) - [j150]Yinghui Zhong, X. L. Han, H. Q. Yun, B. Mei, Yongbo Su, Zhi Jin, C. Zhang:
Radiation effects modeling of InP-based HEMT based on neural networks. Microelectron. J. 153: 106414 (2024) - [j149]Wei Liu, Wei Zhang, Haiyan Zhao, Zhi Jin:
GABoost: Graph Alignment Boosting via Local Optimum Escape. Proc. ACM Manag. Data 2(4): 199:1-199:26 (2024) - [j148]Bolun Li, Zhihong Sun, Tao Huang, Hongyu Zhang, Yao Wan, Ge Li, Zhi Jin, Chen Lyu:
IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion. Proc. ACM Softw. Eng. 1(FSE): 182-203 (2024) - [j147]Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, Ge Li:
Exploring and Unleashing the Power of Large Language Models in Automated Code Translation. Proc. ACM Softw. Eng. 1(FSE): 1585-1608 (2024) - [j146]Chen Gao, Xuan Zhang, Zhi Jin, Weiyi Shang, Yubing Ma, Linyu Li, Zishuo Ding, Yuqin Liang:
Few-shot relational triple extraction with hierarchical prototype optimization. Pattern Recognit. 156: 110779 (2024) - [j145]Huangzhao Zhang, Shuai Lu, Zhuo Li, Zhi Jin, Lei Ma, Yang Liu, Ge Li:
CodeBERT-Attack: Adversarial attack against source code deep learning models via pre-trained model. J. Softw. Evol. Process. 36(3) (2024) - [j144]Huangzhao Zhang, Zhuo Li, Jia Li, Zhi Jin, Ge Li:
WELL: Applying bug detectors to bug localization via weakly supervised learning. J. Softw. Evol. Process. 36(9) (2024) - [j143]Nianyu Li, Mingyue Zhang, Jialong Li, Sridhar Adepu, Eunsuk Kang, Zhi Jin:
A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems. ACM Trans. Auton. Adapt. Syst. 19(2): 12 (2024) - [j142]Jialong Li, Mingyue Zhang, Nianyu Li, Danny Weyns, Zhi Jin, Kenji Tei:
Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap. ACM Trans. Auton. Adapt. Syst. 19(3): 13:1-13:60 (2024) - [j141]Dandan Zhan, Jiahao Wu, Xing Luo, Zhi Jin:
Learning From Text: A Multimodal Face Inpainting Network for Irregular Holes. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7484-7497 (2024) - [j140]Huashi Zhu, Dexuan Xu, Yu Huang, Zhi Jin, Weiping Ding, Jiahui Tong, Guoshuang Chong:
Graph Structure Enhanced Pre-Training Language Model for Knowledge Graph Completion. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2697-2708 (2024) - [j139]Lijun Zhong, Shengpeng Chen, Zhi Jin, Pengyu Guo, Xia Yang:
Keypoints Filtrating Nonlinear Refinement in Spatial Target Pose Estimation with Deep Learning. IEEE Trans. Ind. Informatics 20(11): 12523-12532 (2024) - [j138]Junkai Wang, Lijun Quan, Zhi Jin, Hongjie Wu, Xuhao Ma, Xuejiao Wang, Jingxin Xie, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu:
MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction. IEEE J. Biomed. Health Informatics 28(8): 4995-5006 (2024) - [j137]Xiaohong Chen, Zhi Jin, Min Zhang, Frédéric Mallet, Xiaoshan Liu, Tingliang Zhou:
A Scalable Approach to Detecting Safety Requirements Inconsistencies for Railway Systems. IEEE Trans. Intell. Transp. Syst. 25(8): 8375-8386 (2024) - [j136]Haoran Qi, Yuwei Qiu, Xing Luo, Zhi Jin:
An Efficient Latent Style Guided Transformer-CNN Framework for Face Super-Resolution. IEEE Trans. Multim. 26: 1589-1599 (2024) - [j135]Jishu Wang, Yaowei Wang, Xuan Zhang, Zhi Jin, Chao Zhu, LinYu Li, Rui Zhu, Shenglong Lv:
LearningChain: A Highly Scalable and Applicable Learning-Based Blockchain Performance Optimization Framework. IEEE Trans. Netw. Serv. Manag. 21(2): 1817-1831 (2024) - [j134]Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia:
Poison Attack and Poison Detection on Deep Source Code Processing Models. ACM Trans. Softw. Eng. Methodol. 33(3): 62:1-62:31 (2024) - [j133]Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao, Li Zhang:
Non-Autoregressive Line-Level Code Completion. ACM Trans. Softw. Eng. Methodol. 33(5): 120:1-120:34 (2024) - [c269]Zhi Jin, Michael Sheng:
IEEE 2024 World Congress on Services. CLOUD 2024: xiii-xiv - [c268]Xin Xia, Zhi Jin, Marco Aiello, Dongmei Zhang, Guangtai Liang, Xing Hu:
Software Service Engineering in the Era of Large Language Models. SSE 2024: xxiii - [c267]Zhi Jin, Sheng Xu, Xiang Zhang, Tianze Ling, Nanqing Dong, Wanli Ouyang, Zhiqiang Gao, Cheng Chang, Siqi Sun:
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing. AAAI 2024: 144-152 - [c266]Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei:
Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models. AAAI 2024: 437-445 - [c265]Chengfeng Dou, Ying Zhang, Zhi Jin, Wenpin Jiao, Haiyan Zhao, Yongqiang Zhao, Zhengwei Tao:
Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback. ACL (Findings) 2024: 2453-2473 - [c264]Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li, Bin Gu, Mengfei Yang:
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. ACL (Findings) 2024: 3603-3614 - [c263]Dexuan Xu, Yanyuan Chen, Jieyi Wang, Yue Huang, Hanpin Wang, Zhi Jin, Hongxing Wang, Weihua Yue, Jing He, Hang Li, Yu Huang:
MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering. ACL (Findings) 2024: 4977-4997 - [c262]Yihong Dong, Kangcheng Luo, Xue Jiang, Zhi Jin, Ge Li:
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model. ACL (Findings) 2024: 7304-7323 - [c261]Zhengwei Tao, Zhi Jin, Junqiang Huang, Xiancai Chen, Xiaoying Bai, Yifan Zhang, Chongyang Tao:
MEEL: Multi-Modal Event Evolution Learning. ACL (Findings) 2024: 8912-8925 - [c260]Zhengwei Tao, Xiancai Chen, Zhi Jin, Xiaoying Bai, Haiyan Zhao, Yiwei Lou:
EVIT: Event-Oriented Instruction Tuning for Event Reasoning. ACL (Findings) 2024: 8966-8979 - [c259]Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Bin Gu, Mengfei Yang, Ge Li:
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. ACL (Findings) 2024: 12039-12050 - [c258]Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin:
HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position. ACL (1) 2024: 13615-13627 - [c257]Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, Zhi Jin:
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges. ACL (1) 2024: 13643-13658 - [c256]Chengfeng Dou, Ying Zhang, Yanyuan Chen, Zhi Jin, Wenpin Jiao, Haiyan Zhao, Yu Huang:
Detection, Diagnosis, and Explanation: A Benchmark for Chinese Medial Hallucination Evaluation. LREC/COLING 2024: 4784-4794 - [c255]Zhihong Sun, Chen Lyu, Bolun Li, Yao Wan, Hongyu Zhang, Ge Li, Zhi Jin:
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs. LREC/COLING 2024: 5878-5895 - [c254]Longguang Wang, Yulan Guo, Juncheng Li, Hongda Liu, Yang Zhao, Yingqian Wang, Zhi Jin, Shuhang Gu, Radu Timofte:
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2024: 6198-6207 - [c253]Ren Yang, Radu Timofte, Bingchen Li, Xin Li, Mengxi Guo, Shijie Zhao, Li Zhang, Zhibo Chen, Dongyang Zhang, Yash Arora, Aditya Arora, Yuanbin Chen, Hui Tang, Tao Wang, Longxuan Zhao, Bin Chen, Tong Tong, Qiao Mo, Jingwei Bao, Jinhua Hao, Yukang Ding, Hantang Li, Ming Sun, Chao Zhou, Shuyuan Zhu, Zhi Jin, Wei Wang, Dandan Zhan, Jiawei Wu, Jiahao Wu, Luwei Tu, Hongyu An, Xinfeng Zhang, Woon-Ha Yeo, Wang-Taek Oh, Young-Il Kim, Han-Cheol Ryu, Long Sun, Mingjun Zhen, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Yapeng Du, Ao Li, Ziyang He, Lei Luo, Ce Zhu, Xin Yao, Sunder Ali Khowaja, Ikhyun Lee, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy:
NTIRE 2024 Challenge on Blind Enhancement of Compressed Image: Methods and Results. CVPR Workshops 2024: 6524-6535 - [c252]Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CVPR Workshops 2024: 6571-6594 - [c251]Zongyao He, Zhi Jin:
Latent Modulated Function for Computational Optimal Continuous Image Representation. CVPR 2024: 26026-26035 - [c250]Jiawei Wu, Zhi Jin:
Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks. ECCV (68) 2024: 214-231 - [c249]Zongyao He, Zhi Jin:
Dynamic Implicit Image Function for Efficient Arbitrary-Scale Super-Resolution. ICME 2024: 1-6 - [c248]Wei Wang, Zhi Jin:
CAPformer: Compression-Aware Pre-trained Transformer for Low-Light Image Enhancement. ICME 2024: 1-6 - [c247]Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao:
Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. ICSE 2024: 39:1-39:13 - [c246]Tao Huang, Zhihong Sun, Zhi Jin, Ge Li, Chen Lyu:
KareCoder: A New Knowledge-Enriched Code Generation System. ICSE Companion 2024: 270-271 - [c245]Yikun Ma, Dandan Zhan, Zhi Jin:
FastScene: Text-Driven Fast Indoor 3D Scene Generation via Panoramic Gaussian Splatting. IJCAI 2024: 1173-1181 - [c244]Tao Huang, Zhihong Sun, Zhi Jin, Ge Li, Chen Lyu:
Knowledge-Aware Code Generation with Large Language Models. ICPC 2024: 52-63 - [c243]Shi Chen, Xiaohong Chen, Zhi Jin:
Building Device Models Using LLMs for Requirements Simulation in Smart Homes. RE Workshops 2024: 176-183 - [c242]Chunhui Wang, Jiaqi Zhao, Xiaohong Chen, Zhi Jin:
Generating Requirements Documents for Embedded Systems: A Device Knowledge-Guided Approach. RE Workshops 2024: 200-205 - [c241]Yike Huang, Xiaohong Chen, Zhi Jin, Tingliang Zhou:
Enabling Efficient Real-Time Requirements Inconsistency Detection for Safety-Critical Systems. RE Workshops 2024: 222-229 - [c240]Jialong Li, Mingyue Zhang, Nianyu Li, Danny Weyns, Zhi Jin, Kenji Tei:
Exploring the Potential of Large Language Models in Self-adaptive Systems. SEAMS@ICSE 2024: 77-83 - [e26]Rong N. Chang, Carl K. Chang, Jingwei Yang, Nimanthi L. Atukorala, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Tevfik Kosar, Santonu Sarkar, Sreekrishnan Venkateswaran, Shangguang Wang, Xuanzhe Liu, Seetharami Seelam, Chandra Narayanaswami, Ziliang Zong:
17th IEEE International Conference on Cloud Computing, CLOUD 2024, Shenzhen, China, July 7-13, 2024. IEEE 2024, ISBN 979-8-3503-6853-6 [contents] - [e25]Rong N. Chang, Carl K. Chang, Jingwei Yang, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Nimanthi L. Atukorala, Hongyue Wu, Shiqiang Wang, Shuiguang Deng, Nirmit Desai, Gopal Pingali, Javid Taheri, K. V. Subramaniam, Feras M. Awaysheh, Kaoutar El Maghaouri, Yingjie Wang:
IEEE International Conference on Edge Computing and Communications, EDGE 2024, Shenzhen, China, July 7-13, 2024. IEEE 2024, ISBN 979-8-3503-6849-9 [contents] - [e24]Jiannong Cao, Zhi Jin, Valerio Schiavoni, Janick Edinger:
Proceedings of the 25th International Middleware Conference, MIDDLEWARE 2024, Hong Kong, SAR, China, December 2-6, 2024. ACM 2024, ISBN 979-8-4007-0623-3 [contents] - [e23]Rong N. Chang, Carl K. Chang, Jingwei Yang, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Ismael Faro, Frank Leymann, Johanna Barzen, Salvador de la Puente, Sebastian Feld, Manuel Wimmer, Nimanthi Atukorala, Hongyue Wu, David Elkouss, José García-Alonso, Aritra Sarkar:
IEEE International Conference on Quantum Software, QSW 2024, Shenzhen, China, July 7-13, 2024. IEEE 2024, ISBN 979-8-3503-6847-5 [contents] - [i124]Chengfeng Dou, Zhi Jin, Wenpin Jiao, Haiyan Zhao, Yongqiang Zhao, Zhenwei Tao:
Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback. CoRR abs/2401.05695 (2024) - [i123]Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, Zhi Jin:
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges. CoRR abs/2401.07339 (2024) - [i122]Jialong Li, Mingyue Zhang, Nianyu Li, Danny Weyns, Zhi Jin, Kenji Tei:
Exploring the Potential of Large Language Models in Self-adaptive Systems. CoRR abs/2401.07534 (2024) - [i121]Tao Huang, Zhihong Sun, Zhi Jin, Ge Li, Chen Lyu:
Knowledge-Aware Code Generation with Large Language Models. CoRR abs/2401.15940 (2024) - [i120]Bolun Li, Zhihong Sun, Tao Huang, Hongyu Zhang, Yao Wan, Ge Li, Zhi Jin, Chen Lyu:
IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion. CoRR abs/2401.16637 (2024) - [i119]Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Ge Li:
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. CoRR abs/2402.15938 (2024) - [i118]Xue Jiang, Yihong Dong, Zhi Jin, Ge Li:
SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation. CoRR abs/2403.00046 (2024) - [i117]Zhihong Sun, Chen Lyu, Bolun Li, Yao Wan, Hongyu Zhang, Ge Li, Zhi Jin:
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs. CoRR abs/2403.13271 (2024) - [i116]Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin:
HiRoPE: Length Extrapolation for Code Models. CoRR abs/2403.19115 (2024) - [i115]Jia Li, Ge Li, Xuanming Zhang, Yihong Dong, Zhi Jin:
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories. CoRR abs/2404.00599 (2024) - [i114]Zhengwei Tao, Zhi Jin, Junqiang Huang, Xiancai Chen, Xiaoying Bai, Haiyan Zhao, Yifan Zhang, Chongyang Tao:
MEEL: Multi-Modal Event Evolution Learning. CoRR abs/2404.10429 (2024) - [i113]Zhengwei Tao, Xiancai Chen, Zhi Jin, Xiaoying Bai, Haiyan Zhao, Yiwei Lou:
EVIT: Event-Oriented Instruction Tuning for Event Reasoning. CoRR abs/2404.11978 (2024) - [i112]Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CoRR abs/2404.14248 (2024) - [i111]Zhengwei Tao, Ting-En Lin, Xiancai Chen, Hangyu Li, Yuchuan Wu, Yongbin Li, Zhi Jin, Fei Huang, Dacheng Tao, Jingren Zhou:
A Survey on Self-Evolution of Large Language Models. CoRR abs/2404.14387 (2024) - [i110]Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, Ge Li:
Exploring and Unleashing the Power of Large Language Models in Automated Code Translation. CoRR abs/2404.14646 (2024) - [i109]Pengyu Xue, Linhao Wu, Zhongxing Yu, Zhi Jin, Zhen Yang, Xinyi Li, Zhenyu Yang, Yue Tan:
Automated Commit Message Generation with Large Language Models: An Empirical Study and Beyond. CoRR abs/2404.14824 (2024) - [i108]Zongyao He, Zhi Jin:
Latent Modulated Function for Computational Optimal Continuous Image Representation. CoRR abs/2404.16451 (2024) - [i107]Zhengwei Tao, Zhi Jin, Yifan Zhang, Xiancai Chen, Xiaoying Bai, Yue Fang, Haiyan Zhao, Jia Li, Chongyang Tao:
A Comprehensive Evaluation on Event Reasoning of Large Language Models. CoRR abs/2404.17513 (2024) - [i106]Dongming Jin, Zhi Jin, Xiaohong Chen, Chunhui Wang:
MARE: Multi-Agents Collaboration Framework for Requirements Engineering. CoRR abs/2405.03256 (2024) - [i105]Yikun Ma, Dandan Zhan, Zhi Jin:
FastScene: Text-Driven Fast 3D Indoor Scene Generation via Panoramic Gaussian Splatting. CoRR abs/2405.05768 (2024) - [i104]Xuetao Li, Yuxia Zhang, Cailean Osborne, Minghui Zhou, Zhi Jin, Hui Liu:
Systematic Literature Review of Commercial Participation in Open Source Software. CoRR abs/2405.16880 (2024) - [i103]Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li:
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. CoRR abs/2405.19856 (2024) - [i102]Ziliang Wang, Ge Li, Jia Li, Meng Yan, Yingfei Xiong, Zhi Jin:
M2CVD: Multi-Model Collaboration for Code Vulnerability Detection. CoRR abs/2406.05940 (2024) - [i101]Wei Liu, Ailun Yu, Daoguang Zan, Bo Shen, Wei Zhang, Haiyan Zhao, Zhi Jin, Qianxiang Wang:
GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model. CoRR abs/2406.07003 (2024) - [i100]Wei Wang, Zhi Jin:
CAPformer: Compression-Aware Pre-trained Transformer for Low-Light Image Enhancement. CoRR abs/2407.07056 (2024) - [i99]Zidian Qiu, Zongyao He, Zhi Jin:
Accelerating Learned Video Compression via Low-Resolution Representation Learning. CoRR abs/2407.16418 (2024) - [i98]Ziliang Wang, Ge Li, Jia Li, Yihong Dong, Yingfei Xiong, Zhi Jin:
Code Structure-Aware through Line-level Semantic Learning for Code Vulnerability Detection. CoRR abs/2407.18877 (2024) - [i97]Mengdan Fan, Wei Zhang, Haiyan Zhao, Zhi Jin:
A new approach for encoding code and assisting code understanding. CoRR abs/2408.00521 (2024) - [i96]Dongming Jin, Shengxin Zhao, Zhi Jin, Xiaohong Chen, Chunhui Wang, Zheng Fang, Hongbin Xiao:
An Evaluation of Requirements Modeling for Cyber-Physical Systems via LLMs. CoRR abs/2408.02450 (2024) - [i95]Jiawei Wu, Zhi Jin:
Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks. CoRR abs/2408.08149 (2024) - [i94]Zejun Wang, Kaibo Liu, Ge Li, Zhi Jin:
HITS: High-coverage LLM-based Unit Test Generation via Method Slicing. CoRR abs/2408.11324 (2024) - [i93]Zhihong Sun, Yao Wan, Jia Li, Hongyu Zhang, Zhi Jin, Ge Li, Chen Lyu:
Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates. CoRR abs/2408.13976 (2024) - [i92]Wenhan Wang, Kaibo Liu, An Ran Chen, Ge Li, Zhi Jin, Gang Huang, Lei Ma:
Python Symbolic Execution with LLM-powered Code Generation. CoRR abs/2409.09271 (2024) - [i91]Longguang Wang, Yulan Guo, Juncheng Li, Hongda Liu, Yang Zhao, Yingqian Wang, Zhi Jin, Shuhang Gu, Radu Timofte:
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results. CoRR abs/2409.16947 (2024) - [i90]Jia Li, Yuqi Zhu, Yongmin Li, Ge Li, Zhi Jin:
Showing LLM-Generated Code Selectively Based on Confidence of LLMs. CoRR abs/2410.03234 (2024) - [i89]Jia Li, Ge Li, Lecheng Wang, Hao Zhu, Zhi Jin:
Generating Equivalent Representations of Code By A Self-Reflection Approach. CoRR abs/2410.03351 (2024) - [i88]Chengfeng Dou, Ying Zhang, Zhi Jin, Wenpin Jiao, Haiyan Zhao, Yongqiang Zhao, Zhengwei Tao:
Exploring LLM-based Data Annotation Strategies for Medical Dialogue Preference Alignment. CoRR abs/2410.04112 (2024) - [i87]