Wang, Ziyan

26 publications

AAAI 2025 Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong

NeurIPS 2025 DGH: Dynamic Gaussian Hair Junying Wang, Yuanlu Xu, Edith Tretschk, Ziyan Wang, Anastasia Ianina, Aljaz Bozic, Ulrich Neumann, Tony Tung

NeurIPS 2025 Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit Trivedi, Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Danny Karmon, Beining Zhang, Jim Dilkes, Akash Kundu, Jord Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala, Siddhant Gupta, Aliaksei Korshuk, Buyantuev Alexander, Ilya Makarov, Gang Zhao, Rolando Fernandez, Zhihan Wang, Caroline Wang, Jiaxun Cui, Lingyun Xiao, Di Yang Shi, Yoonchang Sung, Arrasy Rahman, Peter Stone, Yipeng Kang, Hyeonggeun Yun, Ananya Ananya, Taehun Cha, Zhiqiang Wu, Elizaveta Tennant, Olivia Macmillan-Scott, Marta Emili García Segura, Diana Riazi, Fuyang Cui, Sriram Ganapathi Subramanian, Toryn Q. Klassen, Nico Schiavone, Mogtaba Alim, Sheila A. McIlraith, Manuel Sebastian Rios Beltran, Oswaldo Peña, Carlos Saith Rodriguez Rojas, Manuela Chacon-Chamorro, Ruben Manrique, Luis Felipe Giraldo, Nicanor Quijano, Yiding Wang, Yuxuan Chen, Fangwei Zhong, Mengmeng Wang, Wenming Tu, Zhaowei Zhang, Ziang Chen, Zixia Jia, Xue Feng, Zilong Zheng, Chichen Lin, Weijian Fan, Chenao Liu, Sneheel Sarangi, Ziyan Wang, Shuqing Shi, Yali Du, Avinaash Anand Kulandaivel, Yang Liu, Wu Ruiyang, Chetan Talele, 陆孙嘉, Gema Parreño Piqueras, Shamika Dhuri, Bain McHale, Tim Baarslag, Dylan Hadfield-Menell, Natasha Jaques, Jose Hernandez-Orallo, Joel Z Leibo

CVPR 2025 FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images Rong Wang, Fabian Prada, Ziyan Wang, Zhongshi Jiang, Chengxiang Yin, Junxuan Li, Shunsuke Saito, Igor Santesteban, Javier Romero, Rohan Joshi, Hongdong Li, Jason Saragih, Yaser Sheikh

ICML 2025 M$^3$HF: Multi-Agent Reinforcement Learning from Multi-Phase Human Feedback of Mixed Quality Ziyan Wang, Zhicheng Zhang, Fei Fang, Yali Du

TMLR 2025 MACCA: Offline Multi-Agent Reinforcement Learning with Causal Credit Assignment Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang

NeurIPS 2025 PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation Ziyan Wang, Sizhe Wei, Xiaoming Huo, Hao Wang

ICLR 2025 Probe Pruning: Accelerating LLMs Through Dynamic Pruning via Model-Probing Qi Le, Enmao Diao, Ziyan Wang, Xinran Wang, Jie Ding, Li Yang, Ali Anwar

AAAI 2025 Re2LLM: Reflective Reinforcement Large Language Model for Session-Based Recommendation Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang

ICLR 2025 Towards Domain Adaptive Neural Contextual Bandits Ziyan Wang, Xiaoming Huo, Hao Wang

CVPR 2024 ANIM: Accurate Neural Implicit Model for Human Reconstruction from a Single RGB-D Image Marco Pesavento, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Ziyan Wang, Chun-Han Yao, Marco Volino, Edmond Boyer, Adrian Hilton, Tony Tung

NeurIPS 2024 Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang

NeurIPSW 2024 MACCA: Offline Multi-Agent Reinforcement Learning with Causal Credit Assignment Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang

NeurIPS 2024 Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting Xiong-Hui Chen, Ziyan Wang, Yali Du, Shengyi Jiang, Meng Fang, Yang Yu, Jun Wang

IJCAI 2024 ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment Ziyan Wang, Zhankun Xiong, Feng Huang, Xuan Liu, Wen Zhang

NeurIPS 2023 ChessGPT: Bridging Policy Learning and Language Modeling Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang

NeurIPS 2023 Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy

AAAI 2023 Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction Zhankun Xiong, Shichao Liu, Feng Huang, Ziyan Wang, Xuan Liu, Zhongfei Zhang, Wen Zhang

CVPR 2023 NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Chen Cao, Jason Saragih, Michael Zollhöfer, Jessica Hodgins, Christoph Lassner

NeurIPS 2023 Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing Ziyan Wang, Hao Wang

CVPR 2022 HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Michael Zollhöfer, Jessica Hodgins, Christoph Lassner

ECCV 2022 Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images Radu Alexandru Rosu, Shunsuke Saito, Ziyan Wang, Chenglei Wu, Sven Behnke, Giljoo Nam

ICML 2022 Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation Aivar Sootla, Alexander I Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David H Mguni, Jun Wang, Haitham Ammar

CVPR 2021 Learning Compositional Radiance Fields of Dynamic Human Heads Ziyan Wang, Timur Bagautdinov, Stephen Lombardi, Tomas Simon, Jason Saragih, Jessica Hodgins, Michael Zollhofer

NeurIPS 2018 Geometry-Aware Recurrent Neural Networks for Active Visual Recognition Ricson Cheng, Ziyan Wang, Katerina Fragkiadaki

WACV 2018 Object-Centric Photometric Bundle Adjustment with Deep Shape Prior Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin, Ziyan Wang, Simon Lucey