Chang Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
68
Venues
21
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
68 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | RMSAGen: Integrating Multiple Sequence Alignment for Function RNA Design. | Jiyue Jiang, Yanyu Chen, Qingchuan Zhang, Jiayi Li, Xiangyu Shi, Chang Zhou, Ziqian Lin, Jiuming Wang, Dongchen He, Liang Hong, Qintong Li, Pengan Chen, Jiayang Chen, Xinrui Zhang, Jiao Yuan, Tianqing Zhang, Yu Li |
| 2026 | AAAI | Investigating Data Pruning for Pretraining Biological Foundation Models at Scale. | Yifan Wu, Jiyue Jiang, Xichen Ye, Yiqi Wang, Chang Zhou, Yitao Xu, Jiayang Chen, He Hu, Weizhong Zhang, Cheng Jin, Jiao Yuan, Yu Li |
| 2025 | ACL | LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. | Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Dayiheng Liu, Chang Zhou, Wen Xiao, Tianyu Liu, Baobao Chang |
| 2025 | ACL | IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web. | Hongcheng Guo, Wei Zhang, Junhao Chen, Yaonan Gu, Jian Yang, Junjia Du, Shaosheng Cao, Binyuan Hui, Tianyu Liu, Jianxin Ma, Chang Zhou, Zhoujun Li |
| 2025 | ACL | Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability. | Chiwei Zhu, Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Zhendong Mao |
| 2025 | CVPR | Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation. | Henghui Du, Guangyao Li, Chang Zhou, Chunjie Zhang, Alan Zhao, Di Hu |
| 2025 | EMNLP | LM2Protein: A Structure-to-Token Protein Large Language Model. | Chang Zhou, Yuheng Shan, Pengan Chen, Xiangyu Shi, Zikang Wang, Yanting Li, Jiyue Jiang |
| 2025 | HPCA | Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization. | Jianbo Dong, Bin Luo, Jun Zhang, Pengcheng Zhang, Fei Feng, Yikai Zhu, Ang Liu, Zian Chen, Yi Shi, Hairong Jiao, Gang Lu, Yu Guan, Ennan Zhai, Wencong Xiao, Hanyu Zhao, Man Yuan, Siran Yang, Xiang Li, Jiamang Wang, Rui Men, Jianwei Zhang, Chang Zhou, Dennis Cai, Yuan Xie, Binzhang Fu |
| 2025 | ICLR | Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models. | Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu, Chang Zhou, Jingren Zhou |
| 2025 | IVA | From AI-Driven Emotion Recognition to Emotional Labor Support: Proactive Virtual Agents in Healthcare. | Chang Zhou, Matthias Kraus, Jauwairia Nasir, Bhargavi Mahesh, Elisabeth Andr |
| 2025 | KDD | GCoT: Chain-of-Thought Prompt Learning for Graphs. | Xingtong Yu, Chang Zhou, Zhongwei Kuai, Xinming Zhang, Yuan Fang |
| 2025 | WWW | SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation. | Xingtong Yu, Zechuan Gong, Chang Zhou, Yuan Fang, Hui Zhang |
| 2024 | AAAI | Sketch and Refine: Towards Fast and Accurate Lane Detection. | Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu |
| 2024 | AAAI | Controllable 3D Face Generation with Conditional Style Code Diffusion. | Xiaolong Shen, Jianxin Ma, Chang Zhou, Zongxin Yang |
| 2024 | ACL | How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. | Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou |
| 2024 | ACL | MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. | Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou |
| 2024 | ACL | Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment. | Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou |
| 2024 | ACL | Language Models can Evaluate Themselves via Probability Discrepancy. | Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou |
| 2024 | ACL | Synthesizing Text-to-SQL Data from Weak and Strong LLMs. | Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou |
| 2024 | ACL | AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension. | Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang, Xiaohuan Zhou, Yichong Leng, Yuanjun Lv, Zhou Zhao, Chang Zhou, Jingren Zhou |
| 2024 | ACL | Speculative Contrastive Decoding. | Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou |
| 2024 | ECCV | An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. | Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang |
| 2024 | EMNLP | Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? | Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui |
| 2024 | EMNLP | Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model. | Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou |
| 2024 | ICLR | #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. | Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou |
| 2024 | ICML | Training-Free Long-Context Scaling of Large Language Models. | Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong |
| 2024 | IJCAI | DBPNet: Dual-Branch Parallel Network with Temporal-Frequency Fusion for Auditory Attention Detection. | Qinke Ni, Hongyu Zhang, Cunhang Fan, Shengbing Pei, Chang Zhou, Zhao Lv |
| 2024 | NAACL | Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. | Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou |
| 2024 | WWW | MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs. | Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang |
| 2023 | ACL | Transferring General Multimodal Pretrained Models to Text Recognition. | Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou |
| 2023 | ACL | Prompt Tuning for Unified Multimodal Pretrained Models. | Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou |
| 2023 | CVPR | Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation. | Xiaolong Shen, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang |
| 2023 | ICCV | JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery. | Jiahao Li, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang |
| 2023 | ICCV | TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering. | Xiao Pan, Zongxin Yang, Jianxin Ma, Chang Zhou, Yi Yang |
| 2023 | IJCAI | Video Frame Interpolation with Densely Queried Bilateral Correlation. | Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu |
| 2023 | Interspeech | MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition. | Xiaohuan Zhou, Jiaming Wang, Zeyu Cui, Shiliang Zhang, Zhijie Yan, Jingren Zhou, Chang Zhou |
| 2023 | KDD | Binary Embedding-based Retrieval at Tencent. | Yukang Gan, Yixiao Ge, Chang Zhou, Shupeng Su, Zhouchuan Xu, Xuyuan Xu, Quanchao Hui, Xiang Chen, Yexin Wang, Ying Shan |
| 2023 | WWW | CogDL: A Comprehensive Library for Graph Deep Learning. | Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang |
| 2022 | ECCV | Single Stage Virtual Try-On Via Deformable Attention Flows. | Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang |
| 2022 | ICML | Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). | Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang |
| 2022 | ICML | OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. | Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang |
| 2021 | ACL | Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. | Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang |
| 2021 | CVPR | Connecting Language and Vision for Natural Language-Based Vehicle Retrieval. | Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Hongxia Yang, Yi Yang |
| 2021 | ICCV | Causal Attention for Unbiased Visual Recognition. | Tan Wang, Chang Zhou, Qianru Sun, Hanwang Zhang |
| 2021 | ICML | Learning to Rehearse in Long Sequence Memorization. | Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao |
| 2021 | KDD | M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. | Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang |
| 2021 | KDD | Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks. | Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang |
| 2021 | KDD | Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems. | Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang |
| 2021 | WWW | Controllable Gradient Item Retrieval. | Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He |
| 2020 | ICLR | Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities. | Baichuan Yuan, Xiaowei Wang, Jianxin Ma, Chang Zhou, Andrea L. Bertozzi, Hongxia Yang |
| 2020 | KDD | Controllable Multi-Interest Framework for Recommendation. | Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang |
| 2020 | KDD | Disentangled Self-Supervision in Sequential Recommenders. | Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu |
| 2020 | KDD | Understanding Negative Sampling in Graph Representation Learning. | Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang |
| 2019 | AAAI | Deep Interest Evolution Network for Click-Through Rate Prediction. | Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai |
| 2019 | ACL | Cognitive Graph for Multi-Hop Reading Comprehension at Scale. | Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang |
| 2019 | CEC | A Preference-based Method of Updating the Surrogate Model by Broad Learning and Its Application. | Chang Zhou, Dunwei Gong, Yi-Nan Guo, Wenyin Gong |
| 2019 | ICDE | ECOQUG: An Effective Ensemble Community Scoring Function. | Chunnan Wang, Hongzhi Wang, Chang Zhou, Jianzhong Li, Hong Gao |
| 2019 | IGARSS | Motion States Classification of Rotor Target Based On Micro-Doppler Features Using CNN. | Wantian Wang, Ziyue Tang, Xin Xiong, Yi-Chang Chen, Yuan-Peng Zhang, Yongjian Sun, Zhenbo Zhu, Chang Zhou |
| 2019 | MMM | Deep Hashing with Triplet Labels and Unification Binary Code Selection for Fast Image Retrieval. | Chang Zhou, Lai Man Po, Mengyang Liu, Wilson Y. F. Yuen, Peter H. W. Wong, Hon-Tung Luk, Kin Wai Lau, Hok Kwan Cheung |
| 2019 | WWW | Personalized Bundle List Recommendation. | Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao |
| 2018 | AAAI | ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. | Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao |
| 2018 | IJCAI | Show and Tell More: Topic-Oriented Multi-Sentence Image Captioning. | Yuzhao Mao, Chang Zhou, Xiaojie Wang, Ruifan Li |
| 2017 | AAAI | Scalable Graph Embedding for Asymmetric Proximity. | Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao |
| 2017 | ICDE | UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph. | Xiongcai Luo, Jun Gao, Chang Zhou, Jeffrey Xu Yu |
| 2017 | MOBICOM | cniCloud: Querying the Cellular Network Information at Scale. | Wenguang Huang, Chang Zhou, Yuanjie Li, Xinbing Wang, Songwu Lu, Luoyi Fu |
| 2016 | CIKM | GiraphAsync: Supporting Online and Offline Graph Processing via Adaptive Asynchronous Message Processing. | Yuqiong Liu, Chang Zhou, Jun Gao, Zhiguo Fan |
| 2014 | ICDE | GLog: A high level graph analysis system using MapReduce. | Jun Gao, Jiashuai Zhou, Chang Zhou, Jeffrey Xu Yu |
| 2014 | ICDE | Continuous pattern detection over billion-edge graph using distributed framework. | Jun Gao, Chang Zhou, Jiashuai Zhou, Jeffrey Xu Yu |