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Kangning Zhang I'm an incoming Ph.D. student at the APEX Lab, Shanghai Jiaotong University, advised by Prof. YongYu and Prof. Weinan Zhang . Currently, I am an undergraduate student at Shanghai Jiao Tong University, majoring in Computer Science and Technology. My Research interest mainly lie in Data Mining, Recommendation System and Robotics Learning. |
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Intership
Xiao Hong Shu |
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Shanghai Qi Zhi Institute Duration: October 2023 - Present Description: During the internship, I am delighted to cooperate with Gu Zhang and Yanjie Ze, advised by Prof. Huazhe Xu, focusing in Robotics Learning . |
PublicationI'm interested in Data Mining, Recommendation and Robotics. |
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DRepMRec: A Dual Representation Learning Framework for Multimodal Recommendation
Kangning Zhang, Yingjie Qin, Ruilong Su, Yifan Liu Jiarui Jin, Weinan Zhang Yong Yu arxiv To address coupling and misalignment problem in Multimodal recommendation System, in this paper, we propose a novel Dual Representation learning framework called DRepMRec, which introduce separate dual lines for coupling problem and Behavior-Modal Alignment (BMA) for misalignment problem. Furthermore, we integrate the BMA into other recommendation models, resulting in consistent performance improvements. To ensure dual representations maintain their semantic independence during alignment, we introduce Similarity-Supervised Signal (SSS) for representation learning. |
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3D Diffusion Policy
Yanjie Ze*, Gu Zhang*, Kangning Zhang, Chenyuan Hu, Muhan Wang, Huazhe Xu project / arxiv / code We present 3D Diffusion Policy (DP3), a novel visual imitation learning approach that incorporates the power of 3D visual representations into diffusion policies. |
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An Aligning and Training Framework for Multimodal Recommendations
Yifan Liu*, Kangning Zhang*, Xiangyuan Ren, Yanhua Huang, Jiarui Jin Yinjie Qin, Ruilong Su, Ruiwen Xu, Weinan Zhang arxiv In this paper, we first systematically investigate the misalignment issue in multimodal recommendations, and propose a solution named AlignRec. We also find that the multimodal features generated by AlignRec are better than currently used ones, which are to be open-sourced. |
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ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang The Web Conference (WWW), 2024 arxiv / code In this paper, we introduce ClickPrompt, aiming to model both the semantic knowledge and collaborative knowledge for accurate CTR estimation, and meanwhile address the inference inefficiency issue. |
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CodeApex: A Bilingual Programming Evaluation
Benchmark for Large Language Models
Lingyue Fu, Huacan Chai, Shuang Luo, Kounianhua Du, Weiming Zhang Longteng Fan, Jiayi Lei, Renting Rui, Jianghao Lin, Yuchen Fang, Yifan Liu, Jingkuan Wang, Siyuan Qi, Kangning Zhang, Weinan Zhang, Yong Yu arxiv / code In this paper, we propose CodeApex, a bilingual benchmark dataset focusing on the programming comprehension and code generation abilities of LLMs. |
Selected Awards and Honors |
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